Psychology

profileNAZ
EBUPT190529.pdf

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

cengage.com/mindtap

Fit your coursework into your hectic life. Make the most of your time by learning your way. Access the resources you need to succeed wherever, whenever.

Study with digital flashcards, listen to audio textbooks, and take quizzes.

Review your current course grade and compare your progress with your peers.

Get the free MindTap Mobile App and learn wherever you are.

Break Limitations. Create your own potential, and be unstoppable with MindTap.

MINDTAP. POWERED BY YOU.

9781337408202_END_hr_001-004.indd 2 04/09/17 6:06 pm

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

James W. Kalat North Carolina State University

13th Edition

Biological Psychology

Australia ● Brazil ● Mexico ● Singapore ● United Kingdom ● United States

08202_fm_ptg01.indd 1 9/15/17 5:51 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

This is an electronic version of the print textbook. Due to electronic rights restrictions, some third party content may be suppressed. Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. The publisher reserves the right to remove content from this title at any time if subsequent rights restrictions require it. For valuable information on pricing, previous editions, changes to current editions, and alternate formats, please visit www.cengage.com/highered to search by ISBN#, author, title, or keyword for materials in your areas of interest.

Important Notice: Media content referenced within the product description or the product text may not be available in the eBook version.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

© 2019, 2016 Cengage Learning, Inc.

ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced or distributed in any form or by any means, except as permitted by U.S. copyright law, without the prior written permission of the copyright owner.

Unless otherwise noted, all content is © Cengage.

For product information and technology assistance, contact us at Cengage Customer & Sales Support, 1-800-354-9706.

For permission to use material from this text or product, submit all requests online at www.cengage.com/permissions.

Further permissions questions can be e-mailed to [email protected].

Library of Congress Control Number: 2017945649

Student Edition: ISBN: 978-1-337-40820-2

Loose-leaf Edition: ISBN: 978-1-337-61861-8

Cengage 20 Channel Center Street Boston, MA 02210 USA

Cengage is a leading provider of customized learning solutions with employees residing in nearly 40 different countries and sales in more than 125 countries around the world. Find your local representative at www.cengage.com.

Cengage products are represented in Canada by Nelson Education, Ltd.

To learn more about Cengage platforms and services, visit www.cengage.com.

To register or access your online learning solution or purchase materials for your course, visit www.cengagebrain.com.

Biological Psychology, Thirteenth Edition James W. Kalat

Product Director: Marta Lee-Perriard

Product Team Manager: Star Burruto

Product Manager: Erin Schnair

Content Developer: Linda Man

Product Assistant: Leah Jenson

Marketing Manager: Heather Thompson

Content Project Manager: Rita Jaramillo

Production Service: Lori Hazzard, MPS Limited

Photo Researcher: Nisha Bhanu Beegum, Lumina Datamatics, Ltd.

Text Researcher: Ramya Selvaraj, Lumina Datamatics, Ltd.

Art Director: Vernon Boes

Cover/Text Designer: Cheryl Carrington

Cover Image: Image Source/Getty Images; BeholdingEye/Getty Images

Compositor: MPS Limited

Printed in the United States of America Print Number: 01 Print Year: 2017

08202_fm_ptg01.indd 2 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

James W. Kalat (rhymes with ballot) is professor emeritus of psychology at

North Carolina State University, where he taught courses in introduction to

psychology and biological psychology from 1977 through 2012. Born in 1946,

he received a BA summa cum laude from Duke University in 1968, and a PhD in

psychology from the University of Pennsylvania in 1971. He is also the author of

Introduction to Psychology (11th edition) and co-author with Michelle Shiota of

Emotion (3rd edition). In addition to textbooks, he has written journal articles

on taste-aversion learning, the teaching of psychology, and other topics. He was

twice the program chair for the annual convention of the American Psychologi-

cal Society, now named the Association for Psychological Science. A remarried

widower, he has three children, two stepsons, and four grandchildren.

About the Author

08202_fm_ptg01.indd 3 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

To my grandchildren.

08202_fm_ptg01.indd 4 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

v

Brief Contents

Introduction 3

1 Nerve Cells and Nerve Impulses 17

2 Synapses 41

3 Anatomy and Research Methods 67

4 Genetics, Evolution, Development, and Plasticity 103

5 Vision 147

6 Other Sensory Systems 187

7 Movement 225

8 Wakefulness and Sleep 257

9 Internal Regulation 289

10 Reproductive Behaviors 321

11 Emotional Behaviors 351

12 Learning, Memory, and Intelligence 383

13 Cognitive Functions 423

14 Psychological Disorders 459

A Brief, Basic Chemistry 496

B Society for Neuroscience Policies on the Use of Animals and Human Subjects in Research 502

08202_fm_ptg01.indd 5 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_fm_ptg01.indd 6 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

vii

Introduction

Overview and Major Issues 3 The Biological Approach to

Behavior 4 The Field of Biological Psychology 5 Three Main Points to Remember

from This Book 6 Biological Explanations of Behavior 6 Career Opportunities 8 The Use of Animals in Research 9

Degrees of Opposition 11 IN CLOSING: Your Brain and Your Experience 12

Chapter 1

Nerve Cells and Nerve Impulses 17 Module 1.1

The Cells of the Nervous System 18 Neurons and Glia 18

Santiago Ramón y Cajal, a Pioneer of Neuroscience 18

The Structures of an Animal Cell 19 The Structure of a Neuron 19 Variations among Neurons 21 Glia 21

The Blood–Brain Barrier 23 Why We Need a Blood–Brain Barrier 23 How the Blood–Brain Barrier Works 24

Nourishment of Vertebrate Neurons 25 IN CLOSING: Neurons 25

Module 1.2

The Nerve Impulse 28 The Resting Potential of the Neuron 28

Forces Acting on Sodium and Potassium Ions 29

Why a Resting Potential? 31 The Action Potential 31

The All-or-None Law 32 The Molecular Basis of the Action Potential 32

Propagation of the Action Potential 33 The Myelin Sheath and Saltatory Conduction 35

The Refractory Period 36 Local Neurons 36 IN CLOSING: Neurons and Messages 37

Chapter 2

Synapses 41 Module 2.1

The Concept of the Synapse 42 Properties of Synapses 42

Speed of a Reflex and Delayed Transmission at the Synapse 43

Temporal Summation 43 Spatial Summation 43 Inhibitory Synapses 45

Relationship among EPSP, IPSP, and Action Potentials 46

IN CLOSING: The Neuron as Decision Maker 47

Module 2.2

Chemical Events at the Synapse 50 The Discovery of Chemical Transmission at Synapses 50 The Sequence of Chemical Events at a Synapse 51

Types of Neurotransmitters 52 Synthesis of Transmitters 52 Storage of Transmitters 53 Release and Diffusion of Transmitters 53 Activating Receptors of the Postsynaptic Cell 54 Inactivation and Reuptake of Neurotransmitters 57 Negative Feedback from the Postsynaptic Cell 57 Electrical Synapses 59

Hormones 59 IN CLOSING: Neurotransmitters and Behavior 62

Contents

08202_fm_ptg01.indd 7 9/13/17 8:01 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

viii Contents

Chapter 3

Anatomy and Research Methods 67

Module 3.1

Structure of the Vertebrate Nervous System 68 Terminology to Describe the Nervous

System 68 The Spinal Cord 70 The Autonomic Nervous System 71 The Hindbrain 72 The Midbrain 73 The Forebrain 74

Thalamus 76 Hypothalamus and Pituitary Gland 77 Basal Ganglia 77 Basal Forebrain 78 Hippocampus 79

The Ventricles 79 IN CLOSING: Learning Neuroanatomy 80

Module 3.2

The Cerebral Cortex 82 Organization of the Cerebral Cortex 82 The Occipital Lobe 84 The Parietal Lobe 84 The Temporal Lobe 85 The Frontal Lobe 85

The Rise and Fall of Prefrontal Lobotomies 86

Functions of the Prefrontal Cortex 87 How Do the Parts Work Together? 87 IN CLOSING: Functions of the Cerebral Cortex 89

Module 3.3

Research Methods 91 Effects of Brain Damage 91 Effects of Brain Stimulation 92 Recording Brain Activity 93 Correlating Brain Anatomy with

Behavior 96 IN CLOSING: Research Methods and Progress 99

Chapter 4

Genetics, Evolution, Development, and Plasticity 103

Module 4.1

Genetics and Evolution of Behavior 104 Mendelian Genetics 104

Sex-Linked and Sex-Limited Genes 106 Genetic Changes 107 Epigenetics 107

Heredity and Environment 108 Environmental Modification 109 How Genes Influence Behavior 110

The Evolution of Behavior 110 Common Misunderstandings about Evolution 110 Evolutionary Psychology 112

IN CLOSING: Genes and Behavior 114

Module 4.2

Development of the Brain 117 Maturation of the Vertebrate Brain 117

Growth and Development of Neurons 118 New Neurons Later in Life 119

Pathfinding by Axons 119 Chemical Pathfinding by Axons 119 Competition among Axons as a General

Principle 121 Determinants of Neuronal Survival 122 The Vulnerable Developing Brain 123 Differentiation of the Cortex 124 Fine-Tuning by Experience 125

Experience and Dendritic Branching 125 Effects of Special Experiences 127

Brain Development and Behavioral Development 131 Adolescence 131 Old Age 132

IN CLOSING: Brain Development 132

Module 4.3

Plasticity after Brain Damage 136 Brain Damage and Short-Term Recovery 136

Reducing the Harm from a Stroke 136 Later Mechanisms of Recovery 138

Increased Brain Stimulation 138

08202_fm_ptg01.indd 8 9/13/17 8:02 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Contents ix

Regrowth of Axons 138 Axon Sprouting 139 Denervation Supersensitivity 139 Reorganized Sensory Representations

and the Phantom Limb 140 Learned Adjustments in Behavior 141

IN CLOSING: Brain Damage and Recovery 142

Chapter 5

Vision 147 Module 5.1

Visual Coding 148 General Principles

of Perception 148 The Eye and Its Connections to the Brain 149

Route within the Retina 149 Fovea and Periphery of the Retina 149

Visual Receptors: Rods and Cones 152 Color Vision 153

The Trichromatic (Young-Helmholtz) Theory 154 The Opponent-Process Theory 155 The Retinex Theory 156 Color Vision Deficiency 158

IN CLOSING: Visual Receptors 159

Module 5.2

How the Brain Processes Visual Information 162 An Overview of the Mammalian Visual System 162 Processing in the Retina 163 Further Processing 164 The Primary Visual Cortex 166

Simple and Complex Receptive Fields 167 The Columnar Organization of the Visual Cortex 168 Are Visual Cortex Cells Feature Detectors? 169

Development of the Visual Cortex 170 Deprived Experience in One Eye 171 Deprived Experience in Both Eyes 171 Uncorrelated Stimulation in the Two Eyes 171 Early Exposure to a Limited

Array of Patterns 172 Impaired Infant Vision

and Long-Term Consequences 173 IN CLOSING: Understanding Vision by Understanding the Wiring Diagram 174

Module 5.3

Parallel Processing in the Visual Cortex 177 The Ventral and Dorsal Paths 177 Detailed Analysis of Shape 178

The Inferior Temporal Cortex 178 Recognizing Faces 179

Motion Perception 181 The Middle Temporal Cortex 181 Motion Blindness 182

IN CLOSING: Aspects of Vision 183

Chapter 6

Other Sensory Systems 187 Module 6.1

Audition 188 Sound and the Ear 188

Physics and Psychology of Sound 188 Structures of the Ear 189

Pitch Perception 190 The Auditory Cortex 191 Sound Localization 193 Individual Differences 195

Deafness 195 Hearing, Attention, and Old Age 196

IN CLOSING: Functions of Hearing 196

Module 6.2

The Mechanical Senses 199 Vestibular Sensation 199 Somatosensation 199

Somatosensory Receptors 200 Tickle 201 Somatosensation in the Central

Nervous System 202 Pain 203

Stimuli and Spinal Cord Paths 203 Emotional Pain 204 Ways of Relieving Pain 205 Sensitization of Pain 207

Itch 208 IN CLOSING: The Mechanical Senses 208

08202_fm_ptg01.indd 9 9/14/17 3:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

x Contents

Module 6.3

The Chemical Senses 211 Taste 211

Taste Receptors 211 How Many Kinds of Taste Receptors? 211 Mechanisms of Taste Receptors 213 Taste Coding in the Brain 214 Variations in Taste Sensitivity 214

Olfaction 216 Olfactory Receptors 217 Implications for Coding 218 Messages to the Brain 219 Individual Differences 219

Pheromones 220 Synesthesia 220 IN CLOSING: Senses as Ways of Knowing the World 221

Chapter 7

Movement 225 Module 7.1

The Control of Movement 226 Muscles and Their Movements 226

Fast and Slow Muscles 226 Muscle Control by Proprioceptors 228

Units of Movement 230 Voluntary and Involuntary Movements 230 Movements Varying in Sensitivity to Feedback 230 Sequences of Behaviors 230

IN CLOSING: Categories of Movement 231

Module 7.2

Brain Mechanisms of Movement 233 The Cerebral Cortex 233

Planning a Movement 235 Inhibiting a Movement 236 Mirror Neurons 236 Connections from the Brain to the Spinal Cord 238

The Cerebellum 239 Functions Other than Movement 240 Cellular Organization 241

The Basal Ganglia 241 Brain Areas and Motor Learning 244 Conscious Decisions and Movement 244 IN CLOSING: Movement Control and Cognition 246

Module 7.3

Movement Disorders 249 Parkinson’s Disease 249

Causes 250 L-Dopa Treatment 250 Other Therapies 250

Huntington’s Disease 251 Heredity and Presymptomatic Testing 252

IN CLOSING: Movement Disorders Affect More than Movement 254

Chapter 8

Wakefulness and Sleep 257 Module 8.1

Rhythms of Waking and Sleeping 258 Endogenous Rhythms 258 Setting and Resetting the Biological Clock 259

Jet Lag 261 Shift Work 261 Morning People and Evening People 261

Mechanisms of the Biological Clock 262 The Suprachiasmatic Nucleus (SCN) 263 How Light Resets the SCN 264 The Biochemistry of the Circadian Rhythm 264 Melatonin 265

IN CLOSING: Sleep–Wake Cycles 266

Module 8.2

Stages of Sleep and Brain Mechanisms 268 Sleep and Other Interruptions of Consciousness 268 The Stages of Sleep 268 Paradoxical or REM Sleep 269 Brain Mechanisms of Wakefulness, Arousal,

and Sleep 271 Brain Structures of Arousal and Attention 271 Sleep and the Inhibition of Brain Activity 273

Brain Activity in REM Sleep 274 Sleep Disorders 274

Sleep Apnea 276 Narcolepsy 276 Periodic Limb Movement Disorder 277 REM Behavior Disorder 277 Night Terrors and Sleepwalking 277

IN CLOSING: Stages of Sleep 278

08202_fm_ptg01.indd 10 9/15/17 5:53 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Contents xi

Module 8.3

Why Sleep? Why REM? Why Dreams? 280 Functions of Sleep 280

Sleep and Energy Conservation 280 Analogous to Sleep: Hibernation 280 Species Differences in Sleep 281 Sleep and Memory 283

Functions of REM Sleep 283 Biological Perspectives on Dreaming 284

The Activation-Synthesis Hypothesis 284 The Neurocognitive Hypothesis 285

IN CLOSING: Our Limited Self-Understanding 285

Chapter 9

Internal Regulation 289 Module 9.1

Temperature Regulation 290 Homeostasis and Allostasis 291 Controlling Body Temperature 292

Surviving in Extreme Cold 293 The Advantages of Constant High Body

Temperature 293 Brain Mechanisms 294 Fever 295

IN CLOSING: Combining Physiological and Behavioral Mechanisms 296

Module 9.2

Thirst 298 Mechanisms of Water Regulation 298 Osmotic Thirst 298 Hypovolemic Thirst and Sodium-Specific Hunger 300 IN CLOSING: The Psychology and Biology of Thirst 301

Module 9.3

Hunger 303 Digestion and Food Selection 303

Consumption of Dairy Products 304 Food Selection and Behavior 304

Short- and Long-Term Regulation of Feeding 305 Oral Factors 305 The Stomach and Intestines 306

Glucose, Insulin, and Glucagon 306 Leptin 308

Brain Mechanisms 309 The Arcuate Nucleus and Paraventricular

Hypothalamus 309 The Lateral Hypothalamus 311 Medial Areas of the Hypothalamus 312

Eating Disorders 313 Genetics and Body Weight 314 Weight Loss Techniques 314 Bulimia Nervosa 315 Anorexia Nervosa 316

IN CLOSING: The Multiple Controls of Hunger 317

Chapter 10

Reproductive Behaviors 321 Module 10.1

Sex and Hormones 322 Organizing Effects of Sex Hormones 324

Sex Differences in the Brain 325 Sex Differences in Play 327

Activating Effects of Sex Hormones 328 Males 328 Females 329 Effects of Sex Hormones on Nonsexual

Characteristics 331 Parental Behavior 332 IN CLOSING: Reproductive Behaviors and Motivations 334

Module 10.2

Variations in Sexual Behavior 337 Evolutionary Interpretations of Mating Behavior 337

Interest in Multiple Mates 337 What Men and Women Seek in a Mate 338 Differences in Jealousy 338 Evolved or Learned? 338

Gender Identity and Gender-Differentiated Behaviors 338 Intersexes 339 Interests and Preferences of Girls with CAH 340 Testicular Feminization 340 Issues of Gender Assignment and Rearing 340 Discrepancies of Sexual Appearance 341

08202_fm_ptg01.indd 11 9/14/17 3:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xii Contents

Sexual Orientation 342 Behavioral and Anatomical Differences 342 Genetics 342 An Evolutionary Question 343 Prenatal Influences 344 Brain Anatomy 344

IN CLOSING: We Are Not All the Same 346

Chapter 11

Emotional Behaviors 351 Module 11.1

What Is Emotion? 352 Emotions and Autonomic Arousal 352

Is Physiological Arousal Necessary for Emotional Feelings? 353

Is Physiological Arousal Sufficient for Emotions? 354

Is Emotion a Useful Concept? 354 Do People Have a Few Basic Emotions? 356 The Functions of Emotion 357

Emotions and Moral Decisions 358 IN CLOSING: Emotions and the Nervous System 360

Module 11.2

Attack and Escape Behaviors 362 Attack Behaviors 362

Heredity and Environment in Violence 363 Hormonal Effects 363 Serotonin Synapses and Aggressive Behavior 364 Testosterone, Serotonin, and Cortisol 365

Fear and Anxiety 365 Role of the Amygdala in Rodents 366 Studies of the Amygdala in Monkeys 367 Response of the Human Amygdala to Visual

Stimuli 367 Individual Differences in Amygdala Response and

Anxiety 368 Damage to the Human Amygdala 369

Anxiety Disorders 371 Relief from Anxiety 372

Pharmacological Relief 372 Alcohol and Anxiety 373

IN CLOSING: Doing Something about Emotions 373

Module 11.3

Stress and Health 376 Stress and the General Adaptation Syndrome 376 Stress and the Hypothalamus-Pituitary-Adrenal Cortex

Axis 377 The Immune System 377 Effects of Stress on the Immune System 378

Coping with Stress 379 IN CLOSING: Emotions and Body Reactions 380

Chapter 12

Learning, Memory, and Intelligence 383

Module 12.1

Learning, Memory, and Memory Loss 384 Localized Representations of Memory 384

Lashley’s Search for the Engram 384 The Modern Search for the Engram 386

Types of Memory 387 Short-Term and Long-Term Memory 387 Our Changing Views of Consolidation 388 Working Memory 389

Memory Loss 389 Korsakoff ’s Syndrome 390 Alzheimer’s Disease 390 Infant Amnesia 392

IN CLOSING: Memory and Forgetting 392

Module 12.2

The Hippocampus and the Striatum 395 Memory Loss after Damage to the Hippocampus 395

Theories of the Function of the Hippocampus 398 Navigation 399 The Striatum 401 Other Brain Areas and Memory 402 IN CLOSING: Brain Damage and Memory 403

Module 12.3

Storing Information in the Nervous System 405 Blind Alleys and Abandoned Mines 405 Learning and the Hebbian Synapse 406

08202_fm_ptg01.indd 12 9/13/17 8:02 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Contents xiii

Single-Cell Mechanisms of Invertebrate Behavior Change 407 Aplysia as an Experimental Animal 407 Habituation in Aplysia 407 Sensitization in Aplysia 407

Long-Term Potentiation in Vertebrates 408 Biochemical Mechanisms 408

Improving Memory 412 IN CLOSING: The Physiology of Memory 413

Module 12.4

Intelligence 415 Brain Size and Intelligence 415

Comparing Species 415 Human Data 416

Genetics and Intelligence 417 Brain Evolution 418 IN CLOSING: Why Are We So Intelligent? 419

Chapter 13

Cognitive Functions 423 Module 13.1

Lateralization and Language 424 The Left and Right Hemispheres 424

Anatomical Differences between the Hemispheres 425

Visual and Auditory Connections to the Hemispheres 425

The Corpus Callosum and the Split-Brain Operation 426 Split Hemispheres: Competition

and Cooperation 428 The Right Hemisphere 429

Avoiding Overstatements 429 Evolution of Language 430

Chimpanzees 430 Bonobos 430 Nonprimates 431

How Did Humans Evolve Language? 432 Is Language a By-Product of Intelligence? 432 Language as a Specialization 433 A Sensitive Period for Language Learning 434

Brain Damage and Language 434 Broca’s Aphasia (Nonfluent Aphasia) 434

Wernicke’s Aphasia (Fluent Aphasia) 436 Dyslexia 437 IN CLOSING: Language and the Brain 438

Module 13.2

Conscious and Unconscious Processes 441 The Mind–Brain Relationship 441 Consciousness of a Stimulus 442

Experiments Using Masking 442 Experiments Using Binocular Rivalry 443 The Fate of an Unattended Stimulus 444 Consciousness as a Threshold

Phenomenon 445 The Timing of Consciousness 445

Conscious and Unconscious People 446 Attention 446

Brain Areas Controlling Attention 446 Spatial Neglect 447

IN CLOSING: Attending to Attention and Being Conscious of Consciousness 449

Module 13.3

Making Decisions and Social Neuroscience 452 Perceptual Decisions 452 Decisions Based on Values 453 The Biology of Love 454 Empathy and Altruism 455 IN CLOSING: Biology of Decisions and Social Behavior 456

Chapter 14

Psychological Disorders 459 Module 14.1

Substance Abuse 460 Drug Mechanisms 460 Predispositions 460

Genetic Influences 460 Environmental Influences 461 Behavioral Predictors of Abuse 461

Synaptic Mechanisms 462 The Role of Dopamine 462 Cravings 464

08202_fm_ptg01.indd 13 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xiv Contents

Tolerance and Withdrawal 464 Treatments 465

Medications to Combat Alcohol Abuse 465 Medications to Combat Opiate Abuse 465

IN CLOSING: The Psychology and Biology of Substance Abuse 466

Module 14.2

Mood Disorders 468 Major Depressive Disorder 468

Genetics 469 Abnormalities of Hemispheric Dominance 470

Antidepressant Drugs 470 Types of Antidepressants 470 How Are Antidepressants Effective? 471 How Effective Are Antidepressants? 472 Alternatives to Antidepressant Drugs 473 Exercise and Diet 474

Bipolar Disorder 476 Treatments 476

IN CLOSING: The Biology of Mood Swings 477

Module 14.3

Schizophrenia 480 Diagnosis 480

Differential Diagnosis of Schizophrenia 481 Demographic Data 481

Genetics 482 Family Studies 482 Adopted Children Who Develop Schizophrenia 482

Efforts to Locate a Gene 483 The Neurodevelopmental Hypothesis 483

Prenatal and Neonatal Environment 484 Mild Brain Abnormalities 484 Long-Term Course 485 Early Development and Later Psychopathology 485

Treatments 486 Antipsychotic Drugs and Dopamine 486 Second-Generation Antipsychotic Drugs 487 Role of Glutamate 488

IN CLOSING: Many Remaining Mysteries 489

Module 14.4

Autism Spectrum Disorders 492 Symptoms and Characteristics 492 Genetics and Other Causes 493 Treatments 494 IN CLOSING: Development and Disorders 494

Appendix A Brief, Basic Chemistry 496

Appendix B Society for Neuroscience Policies on the Use of Animals

and Human Subjects in Research 502

References 504 Name Index 567 Subject Index/Glossary 589

08202_fm_ptg01.indd 14 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xv

In the first edition of this text, published in 1981, I remarked, “I almost wish I could get parts of this text . . . printed in disappearing ink, programmed to fade within 10 years of publication, so that I will not be embarrassed by statements that will look primitive from some future perspective.” I would say the same thing today, except that I would like for the ink to fade faster. Biological psychology progresses rapidly, and much that we thought we knew becomes obsolete.

Biological psychology is the most interesting topic in the world. No doubt many people in other fields think their topic is the most interesting, but they are wrong. This re- ally is the most interesting. Unfortunately, it is easy to get so bogged down in memorizing facts that one loses the big pic- ture. The big picture here is fascinating and profound: Your brain activity is your mind. I hope that readers of this book will remember that message even after they forget many of the details.

Each chapter is divided into modules that begin with an introduction and end with a summary, a list of key terms, and some review questions. This organization makes it easy for in- structors to assign part of a chapter per day instead of a whole chapter per week. Modules can also be covered in a different order, or of course omitted.

I assume that readers have a basic background in psy- chology and biology, and understand such terms as classical conditioning, reinforcement, vertebrate, mammal, gene, chro- mosome, cell, and mitochondrion. I also assume at least a high school chemistry course. Those with a weak background in chemistry or a fading memory of it may consult Appendix A.

MindTap for Biological Psychology, 13e MindTap for Biological Psychology, 13th edition, engages students to produce their best work. By integrating course material with videos, activities, and much more, MindTap provides an opportunity for increased comprehension and retention.

For students, MindTap provides:

● activities and assignments that build critical thinking and analytic skills that can transfer to other domains.

● guidance to focus on what the instructor emphasizes, with tools for mastering the content.

● feedback on progress, compared to the student’s own past performance and the performance of other stu- dents in the class.

For faculty, MindTap provides:

● the ability to specify what the students read and when, matched to the course syllabus.

● an opportunity to assign relevant activities. ● the ability to supplement the MindTap Reader with

your own documents or sources such as RSS feeds, YouTube videos, websites, or Google Docs.

● reports on students’ progress and completion of as- signments.

Changes in This Edition Reflecting the rapid changes in biological psychology, this edition includes revised content throughout, with almost 700 new references, including more than 550 from 2014 or later. Some of the figures are new or revised, and most of the review questions at the end of modules are new. The most extensive changes are in the later chapters. These organiza- tional changes are worth notice: Chapter 9 (“Internal Regula- tion”) includes a new section about anorexia nervosa. Chap- ter 12 (“Learning, Memory, and Intelligence”) now has four modules instead of two. What used to be the first module has been split into two, and a new module has been added about intelligence. That module includes some material previously in the anatomy chapter, plus more, and all of it reorganized. In Chapter 13 (“Cognitive Functions”), the previous modules on lateralization and language have been shortened and com- bined into one module. The previous module on social neuro- science has been expanded with the addition of a section on the neurobiology of making decisions. In Chapter 14 (“Psy- chological Disorders”), the first module (“Substance Abuse”) has been reorganized and reordered.

With regard to new or revised content, here are some of the highlights:

● This edition continues the tradition of including photo- graphs and quotes of some prominent researchers, now adding Karl Deisseroth, Margaret McCarthy, May-Britt Moser and Edvard Moser, and Stanislas Dehaene. Students can name hundreds of singers, actors, and athletes. I think they should be able to identify some important researchers too, especially in the field in which they chose to major.

● Neuroscientists no longer believe that glia outnumber neurons in the human brain.

● Although many psychologists and others have ex- plained risky adolescent behavior in terms of an

Preface

08202_fm_ptg01.indd 15 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xvi PrefaCe

immature prefrontal cortex, that explanation looks less plausible. Between early adolescence and age 20, most risky behaviors increase, even while the prefrontal cor- tex is approaching maturity. Risky behavior more likely reflects increased drive for excitement.

● Current research indicates that astrocytes and scar tissue are more helpful than harmful for regrowth of axons.

● A new study found that people who lose a sensation as a result of brain damage also have trouble thinking about concepts related to that sensation. For example, someone with damage to the auditory cortex might regard “thunder” as a nonword.

● Previous data showed that acetaminophen decreases emotional pain. New data say that it also decreases pleasant experiences.

● The text includes updated information about the genetic basis of Parkinson’s disease, substance abuse, depression, schizophrenia, and autism.

● Certain bird species sleep while they are flying over great distances. Frigate birds, which are large enough for researchers to monitor in the air, sometimes sleep in one hemisphere at a time, sometimes sleep briefly in both hemispheres at once, but overall get very little sleep on days when they are at sea.

● Thirst anticipates needs, and so does satiation of thirst. We stop drinking long before the water we have drunk reaches the cells that need it.

● New research sheds important light on male–female differences in brain anatomy. Because the mechanisms controlling male–female differences vary from one brain area to another, it is common for someone to have a patchwork of male-typical, female-typical, and approximately neutral anatomy in different brain areas.

● A new hypothesis holds that the rapid formation of new neurons in an infant hippocampus is responsible for both the ease of new learning and the phenomenon of infant amnesia. That is, infants learn rapidly, but also tend to forget episodic memories.

● Chapter 12 includes a new section about the role of the hippocampus and surrounding areas in control of navigation.

● Accumulating data cast doubt on the central role of dopamine in addictive behaviors.

● The previous belief that later episodes of depression get shorter and shorter was based on a methodological artifact. Many people have only one episode, possibly a very long one. Only people with short episodes get as

far as, say, a 10th episode. Therefore, the mean duration of all first episodes is not comparable to the mean delay of later episodes.

I would also like to mention certain points about my writ- ing style. You would not have noticed these points, and I know that you don’t care either, but I shall mention them anyway: I avoid the term incredible, which has been so overused that it has lost its original meaning of “not believable.” I also avoid the terms intriguing, involved, and outrageous, which are also overused and misused. Finally, I avoid the term different after a quantifier. For example, I would not say, “They offered four different explanations.” If they offered four explanations, we can take it for granted that the explanations were different!

Instructor Ancillaries Biological Psychology, 13th edition, is accompanied by an array of supplements developed to facilitate both instructors’ and students’ best experience inside as well as outside the classroom. All of the supplements continuing from the 12th edition have been revised and updated. Cengage invites you to take full advantage of the teaching and learning tools available to you and has prepared the following descriptions of each.

Online Instructor’s Manual The manual includes learning objectives, key terms, a detailed chapter outline, a chapter summary, lesson plans, discussion topics, student activities, media tools, a sample syllabus, and an expanded test bank. The learning objectives are correlated with the discussion topics, student activities, and media tools.

Online PowerPoints Helping you make your lectures more engaging while effec- tively reaching your visually oriented students, these handy Microsoft PowerPoint® slides outline the chapters of the main text in a classroom-ready presentation. The PowerPoint® slides are updated to reflect the content and organization of the new edition of the text.

Cengage Learning Testing, Powered by Cognero® Cengage Learning Testing, Powered by Cognero®, is a flex- ible online system that allows you to author, edit, and manage test bank content. You can create multiple test versions in an instant and deliver tests from your LMS in your classroom.

08202_fm_ptg01.indd 16 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xvii

Acknowledgments

Let me tell you something about researchers in this field: As a rule, they are amazingly cooperative with textbook authors. Many colleagues and students sent me com- ments and helpful suggestions. I thank all of these instructors who have reviewed one or more editions of the text:

Text Reviewers and Contributors: ● John Agnew, University of Colorado at Boulder ● John Dale Alden III, Lipscomb University ● Joanne Altman, Washburn University ● Kevin Antshel, SUNY–Upstate Medical University ● Bryan Auday, Gordon College ● Susan Baillet, University of Portland ● Teresa Barber, Dickinson College ● Christie Bartholomew, Kent State University ● Howard Bashinski, University of Colorado ● Bakhtawar Bhadha, Pasadena City College ● Chris Brill, Old Dominion University ● J. Timothy Cannon, The University of Scranton ● Lorelei Carvajal, Triton College ● Sarah Cavanagh, Assumption College ● Linda Bryant Caviness, La Sierra University ● Cathy Cleveland, East Los Angeles College ● Elie Cohen, Lander College for Men (Touro College) ● Howard Cromwell, Bowling Green State University ● David Crowley, Washington University ● Carol DeVolder, St. Ambrose University ● Jaime L. Diaz-Granados, Baylor University ● Carl DiPerna, Onondaga Community College ● Francine Dolins, University of Michigan–Dearborn ● Timothy Donahue, Virginia Commonwealth University ● Michael Dowdle, Mt. San Antonio College ● Jeff Dyche, James Madison University ● Gary Felsten, Indiana University–Purdue University

Columbus ● Erin Marie Fleming, Kent State University ● Lauren Fowler, Weber State University ● Deborah Gagnon, Wells College ● Jonathan Gewirtz, University of Minnesota ● Jackie Goldstein, Samford University ● Peter Green, Maryville University ● Jeff Grimm, Western Washington University ● Amy Clegg Haerich, Riverside Community College ● Christopher Hayashi, Southwestern College ● Suzanne Helfer, Adrian College ● Alicia Helion, Lakeland College

● Jackie Hembrook, University of New Hampshire ● Phu Hoang, Texas A&M International University ● Richard Howe, College of the Canyon ● Barry Hurwitz, University of Miami ● Karen Jennings, Keene State College ● Craig Johnson, Towson University ● Robert Tex Johnson, Delaware County Community

College ● Kathryn Kelly, Northwestern State University ● Shannon Kundey, Hood College ● Craig Kinsley, University of Richmond ● Philip Langlais, Old Dominion University ● Jerry Lee, Albright College ● Robert Lennartz, Sierra College ● Hui-Yun Li, Oregon Institute of Technology ● Cyrille Magne, Middle Tennessee State University ● Michael Matthews, U.S. Military Academy (West Point) ● Estelle Mayhew, Rutgers University–New Brunswick ● Daniel McConnell, University of Central Florida ● Maria McLean, Thomas More College ● Elaine McLeskey, Belmont Technical College ● Corinne McNamara, Kennesaw State University ● Brian Metcalf, Hawaii Pacific University ● Richard Mills, College of DuPage ● Daniel Montoya, Fayetteville State University ● Paulina Multhaupt, Macomb Community College ● Walter Murphy, Texas A&M University–Central Texas ● Joseph Nedelec, Florida State University ● Ian Norris, Murray State University ● Marcia Pasqualini, Avila University ● Susana Pecina, University of Michigan–Dearborn ● Linda Perrotti, University of Texas–Arlington ● Terry Pettijohn, The Ohio State University ● Jennifer Phillips, Mount St. Mary’s University ● Edward Pollak, West Chester University ● Brian Pope, Tusculum College ● Mark Prendergast, University of Kentucky ● Jean Pretz, Elizabethtown College ● Mark Prokosch, Elon University ● Adam Prus, Northern Michigan University ● Khaleel Razak, University of California–Riverside ● John Rowe, Florida Gateway College ● David Rudek, Aurora University ● Jeffrey Rudski, Muhlenberg College ● Karen Sabbah, California State University–Northridge ● Sharleen Sakai, Michigan State University ● Ron Salazar, San Juan College

08202_fm_ptg01.indd 17 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

xviii aCknowledgments

● Shannon Saszik, Northeastern Illinois University ● Steven Schandler, Chapman University ● Sue Schumacher, North Carolina A&T State University ● Vicki Sheafer, LeTourneau University ● Timothy Shearon, College of Idaho ● Stephanie Simon-Dack, Ball State University ● Steve Smith, University of California–Santa Barbara ● Suzanne Sollars, University of Nebraska–Omaha ● Gretchen Sprow, University of North Carolina–

Chapel Hill ● Jeff Stowell, Eastern Illinois University ● Gary Thorne, Gonzaga University ● Chris Tromborg, Sacramento City College and

University of California–Davis ● Lucy Troup, Colorado State University ● Joseph Trunzo, Bryant University ● Sandy Venneman, University of Houston–Victoria ● Beth Venzke, Concordia University ● Ruvanee Vilhauer, Felician College ● Jacquie Wall, University of Indianapolis ● Zoe Warwick, University of Maryland–Baltimore

County ● Jon Weimer, Columbia College ● Rosalyn Weller, The University of Alabama–

Birmingham ● Adam Wenzel, Saint Anselm College

● David Widman, Juniata College ● Steffen Wilson, Eastern Kentucky University ● Joseph Wister, Chatham University ● Jessica Yokley, University of Pittsburgh

I thank my product manager, Erin Schnair, for her support, encouragement, and supervision. Linda Man, my content developer for this edition, carefully oversaw this com- plex project, and has my highest respect and appreciation. Lori Hazzard supervised the production, a major task for a book like this one. As art director, Vernon Boes’s considerable ar- tistic abilities helped to compensate for my complete lack. The production phases of the 13th edition were skillfully overseen by Rita Jaramillo, content project manager. Betsy Hathaway had charge of permissions, a major task for a book like this. I thank the rest of the entire team at Cengage for their contribu- tions, including Heather Thompson, marketing manager; and Leah Jenson, product assistant. All of these people have been splendid colleagues, and I thank them immensely.

And, emphatically, I thank my wife and family for their constant support.

I welcome correspondence from both students and fac- ulty. Write James W. Kalat, Department of Psychology, Box 7650, North Carolina State University, Raleigh, NC 27695– 7801, USA. E-mail: [email protected]

James W. Kalat

08202_fm_ptg01.indd 18 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_fm_ptg01.indd 19 9/13/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_intro_ptg01.indd 2 9/15/17 5:56 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3

It is often said that Man is unique among animals. It is worth looking at this term unique before we discuss our subject proper. The word may in this context have two slightly different meanings. It may mean: Man is strikingly different—he is not iden- tical with any animal. This is of course true. It is true also of all other animals: Each species, even each individual, is unique in this sense. But the term is also often used in a more absolute sense: Man is so different, so “essentially different” (whatever that means) that the gap between him and animals cannot possibly be bridged—he is something altogether new. Used in this absolute sense, the term is scientifically mean- ingless. Its use also reveals and may reinforce conceit, and it leads to complacency and defeatism because it assumes that it will be futile even to search for animal roots. It is prejudging the issue.

Niko Tinbergen (1973, p. 161)

The Biological Approach to Behavior Biological Explanations of Behavior Career Opportunities The Use of Animals in Research In Closing: Your Brain and Your Experience

After studying this introduction, you should be able to:

1. State the mind–brain problem and con- trast monism with dualism.

2. List three general points that are important to remember from this text.

3. Give examples of physiological, ontoge- netic, evolutionary, and functional explana- tions of behavior.

4. Discuss the ethical issues of research with laboratory animals.

Introduction Overview and Major Issues

Outline

Learning Objectives

Opposite:

It is tempting to try to “get inside the mind” of people and other animals, to imagine what they are thinking or feeling. In contrast, biological psychologists try to explain behavior in terms of its physiology, development, evolution, and function. (© Renee Lynn/Corbis/VCG/Getty Images)

What is meant by the term biological psychology? In a sense, all psy-chology is biological. You are a biological organism, and everything you do or think is part of your biology. However, it is helpful to distinguish

among levels of explanation. All of biology is chemical, and all of chemistry

is physics, but we do not try to explain every biological observation in terms

of protons and electrons. Similarly, much of psychology is best described in

terms of cultural, social, and cognitive influences. Nevertheless, much of psy-

chology is also best understood in terms of genetics, evolution, hormones,

body physiology, and brain mechanisms. This textbook concentrates mostly

on brain mechanisms, but also discusses the other biological influences. In

this chapter, we consider three major issues: the relationship between mind

and brain, the roles of nature and nurture, and the ethics of research. We also

briefly consider career opportunities in this and related fields.

08202_intro_ptg01.indd 3 9/15/17 5:56 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4 INTRODUCTION Overview and Major Issues

The Biological Approach to Behavior Of all the questions that people ask, two stand out as the most profound and the most difficult. One of those questions deals with physics. The other pertains to the relationship between physics and psychology.

Gottfried Leibniz (1714/1989) posed the first of these questions: “Why is there something rather than nothing?” It would seem that nothingness would be the default state. Evidently, the universe—or whoever or whatever created the universe—had to be self-created.

So . . . how did that happen? That question is supremely baffling, but a subordinate ques-

tion is more amenable to discussion: Given the existence of a uni- verse, why this particular kind of universe? Could the universe have been fundamentally different? Our universe has protons, neutrons, and electrons with particular dimensions of mass and charge. It has four fundamental forces—gravity, electromagnetism, the strong nuclear force, and the weak nuclear force. What would happen to the universe if any of these properties had been different?

Beginning in the 1980s, specialists in a branch of physics known as string theory set out to prove mathematically that this is the only possible way the universe could be. Succeed- ing in that effort would have been theoretically satisfying, but alas, as string theorists worked through their equations, they concluded that this is not the only possible universe. The uni- verse could have taken a vast number of forms with different laws of physics. How vast a number? Imagine the number 1 followed by about 500 zeros. And that’s the low estimate.

Of all those possible universes, how many could have sup- ported life? Very few. Consider the following (Davies, 2006):

● If gravity were weaker, matter would not condense into stars and planets. If it were stronger, stars would burn brighter and use up their fuel too quickly for life to evolve.

● If the electromagnetic force were stronger, the protons within an atom would repel one another so strongly that atoms would burst apart.

● In the beginning was hydrogen. The other elements formed by fusion within stars. The only way to get those elements out of stars and into planets is for a star to explode as a supernova and send its contents out into the galaxy. If the weak nuclear force were either a bit stronger or a bit weaker, a star could not explode.

● Because of the exact ratio of the electromagnetic force to the strong nuclear force, helium (element 2 on the peri- odic table) and beryllium (element 4) go into resonance within a star, enabling them to fuse easily into carbon (element 6), which is essential to life as we know it. (It’s hard to talk about life as we don’t know it.) If either the electromagnetic force or the strong nuclear force changed slightly (less than one percent), the universe would have almost no carbon.

● The electromagnetic force is 1040 times stronger than gravity. If gravity were a bit stronger relative to the elec- tromagnetic force, planets would not form. If it were a bit weaker, planets would consist of only gases.

● The mass of a neutron is 0.14 percent greater than that of a proton. If the difference had been a little larger, all the hydro- gen would have fused into helium, but the helium would not have fused into any of the heavier elements (Wilczek, 2015).

● Why is water (H2O) a liquid? Similar molecules such as carbon dioxide, nitric oxide, ozone, and methane are gases except at extremely low temperatures. In a water molecule, the two hydrogen ions form a 104.58 angle (see Figure Intro.1). As a result, one end of the water molecule has a slight positive charge and the other has a slight negative charge. The difference is enough for water mol- ecules to attract one another electrically. If they attracted one another a bit less, all water would be a gas (steam). But if water molecules attracted one another a bit more strongly, water would always be a solid (ice).

In short, the universe could have been different in many ways, nearly all of which would have made life impossible. Why is the universe the way it is? Maybe it’s just a coinci- dence. (Lucky for us, huh?) Or maybe intelligence of some sort guided the formation of the universe. That hypothesis clearly goes beyond the reach of empirical science. A third possibil- ity that many physicists favor is that a huge number of other universes (perhaps an infinite number) really do exist, and we of course know about only the kind of universe in which we could evolve. That hypothesis, too, goes beyond the reach of empirical science, as we cannot know about other universes. Will we ever know why the universe is the way it is? Maybe or maybe not, but the question is fascinating.

At the start I mentioned two profound and difficult ques- tions. The second one is called the mind–brain problem or the mind–body problem, the question of how mind relates to brain activity. Put another way: Given a universe composed of matter and energy, why is there such a thing as consciousness? We can imagine how matter came together to form molecules, and how certain kinds of carbon compounds came together to form a primitive type of life, which then evolved into animals with brains and complex behaviors. But why are certain types of brain activity conscious?

So far, no one has offered a convincing explanation of consciousness. A few scholars have suggested that we abandon the concept of consciousness altogether (Churchland, 1986; Dennett, 1991). That proposal avoids the question, rather than answering it. Consciousness is something we experience, and it calls for an explanation, even if we do not yet see how to explain it. Chalmers (2007) and Rensch (1977) proposed,

H H

O

+

Figure Intro.1 A water molecule Because of the hydrogen-oxygen- hydrogen angle, one end of a water molecule is more positive and the other negative. The exact difference in charge causes water molecules to attract one another just enough to be a liquid.

08202_intro_ptg01.indd 4 9/15/17 5:56 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

The Biological Approach to Behavior 5

instead, that we regard consciousness as a fundamental prop- erty of matter. A fundamental property is one that cannot be reduced to something else. For example, mass and electrical charge are fundamental properties. Maybe consciousness is like that.

However, that is an unsatisfying answer. First, conscious- ness isn’t like other fundamental properties. Matter has mass all the time, and protons and electrons have charge all the time. So far as we can tell, consciousness occurs only in certain parts of a nervous system, just some of the time—not when you are in a dreamless sleep, and not when you are in a coma. Be- sides, it’s unsatisfying to call anything a fundamental property, even mass or charge. To say that mass is a fundamental prop- erty doesn’t mean that there is no reason. It means that we have given up on finding a reason. And, in fact, contemporary physicists have not given up. They are trying to explain mass and charge in terms of the Higgs boson and other principles of the universe. To say that consciousness is a fundamental property would mean that we have given up on explaining it. Certainly it is too soon to give up. After we learn as much as possible about the nervous system, perhaps we shall under- stand what consciousness is all about. Even if not, the research will teach us much that is important and interesting.

The Field of Biological Psychology Biological psychology is the study of the physiological, evo- lutionary, and developmental mechanisms of behavior and experience. It is approximately synonymous with the terms biopsychology, psychobiology, physiological psychology, and be- havioral neuroscience. The term biological psychology empha- sizes that the goal is to relate biology to issues of psychology. Neuroscience includes much that is relevant to behavior but also includes more detail about anatomy and chemistry.

Biological psychology is not only a field of study, but also a point of view. It holds that we think and act as we do because

of brain mechanisms, and that we evolved those brain mech- anisms because ancient animals built this way survived and reproduced.

Biological psychology deals mostly with brain activity. Fig- ure Intro.2 offers a view of the human brain from the top (what anatomists call a dorsal view) and from the bottom (a ventral view). The labels point to a few important areas that will be- come more familiar as you proceed through this text. An in- spection of a brain reveals distinct subareas. At the microscopic level, we find two kinds of cells: the neurons (Figure Intro.3)

Anterior

Dorsal view (from above) Ventral view (from below)

Posterior

Frontal lobe

Precentral gyrus

Postcentral gyrus

Parietal lobe

Occipital lobe

Central sulcus

Longitudinal ssure

Olfactory bulbs

Optic nerves

Spinal cord

Frontal lobe of

cerebral cortex

Temporal lobe of

cerebral cortex

Medulla

Cerebellum

Figure Intro.2 Two views of the human brain The brain has an enormous number of divisions and subareas; the labels point to a few of the main ones on the surface of the brain.

Figure Intro.3 Neurons, magnified The brain is composed of cells called neurons and glia.

Co ur

te sy

o f D

r. Da

na C

op el

an d;

D r.

Da na

C op

el an

d

Ro n

Bo ar

dm an

/L ife

S ci

en ce

Im ag

e/ FL

PA /S

ci en

ce S

ou rc

e

08202_intro_ptg01.indd 5 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6 INTRODUCTION Overview and Major Issues

evidence tell us why people became depressed? No, it does not. To illustrate, consider that people with depres- sion also have less activity than normal in their legs. (They don’t move around as much as other people do.) Clearly, the inactive legs did not cause depression. Sup- pose we also find that certain genes are less common than average among people with depression. Does that genetic difference explain depression? Again, it does not. It might be a useful step toward explaining depression, after we understand what those genes do, but the genetic differ- ence itself does not explain anything. In short, we should avoid overstating the conclusions from any research study.

Biological Explanations of Behavior Commonsense explanations of behavior often refer to inten- tional goals such as, “He did this because he was trying to . . .” or “She did that because she wanted to. . . .” But often, we have

and the glia. Neurons, which convey messages to one another and to muscles and glands, vary enormously in size, shape, and functions. The glia, generally smaller than neurons, have many functions but do not convey information over great distances. The activities of neurons and glia somehow pro- duce an enormous wealth of behavior and experience. This book is about researchers’ attempts to elaborate on that word somehow.

Three Main Points to Remember from This Book This book presents a great deal of factual information. How much of it will you remember a few years from now? If you enter a career in psychology, biology, or medicine, you might continue using a great deal of the information. Otherwise, you will inevitably forget many of the facts, although you will occasionally read about a new research study that re- freshes your memory. Regardless of how many details you remember, at least three general points should stick with you forever:

1. Perception occurs in your brain. When something contacts your hand, the hand sends a message to your brain. You feel it in your brain, not your hand. (Elec- trical stimulation of your brain could produce a hand experience even if you had no hand. A hand discon- nected from your brain has no experience.) Similarly, you see when light comes into your eyes. The experi- ence is in your head, not “out there.” You do NOT send “sight rays” out of your eyes, and even if you did, they wouldn’t do you any good. The chapter on vision elabo- rates on this point.

2. Mental activity and certain types of brain activity are, so far as we can tell, inseparable. This position is known as monism, the idea that the universe consists of only one type of being. (The opposite is dualism, the idea that minds are one type of substance and matter is another.) Nearly all neuroscientists and philosophers support the position of monism. You should understand monism and the evidence behind it. The chapter on consciousness considers this issue directly, but nearly everything in the book pertains to the mind–brain relationship in one way or another.

It is not easy to get used to the concept of monism. According to monism, your thoughts or experiences are the same thing as your brain activity. People some- times ask whether brain activity causes thoughts, or whether thoughts direct the brain activity (e.g., Miller, 2010). According to monism, that question is like asking whether temperature causes the movement of molecules, or whether the movement of molecules causes tempera- ture. Neither causes the other; they are just different ways of describing the same thing.

3. We should be cautious about what is an explanation and what is not. For example, people with depression have less than usual activity in certain brain areas. Does that

Researchers continue to debate the function of yawning. Brain mecha- nisms produce many behaviors that we engage in without necessarily knowing why.

Do rr/

Pr em

iu m

S to

ck /J

up ite

r I m

ag es

08202_intro_ptg01.indd 6 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Biological Explanations of Behavior 7

no reason to assume intentions. A 4-month-old bird migrat- ing south for the first time presumably does not know why. The next spring, when she lays an egg, sits on it, and defends it from predators, again she doesn’t know why. Even hu- mans don’t always know the reasons for their own behaviors. Yawning and laughter are two examples. You do them, but can you explain what they accomplish? Intentions are, at best, a weak form of explanation.

In contrast to commonsense explanations, biological explanations of behavior fall into four categories: physi- ological, ontogenetic, evolutionary, and functional (Tinber- gen, 1951). A physiological explanation relates a behavior to the activity of the brain and other organs. It deals with the machinery of the body—for example, the chemical reactions that enable hormones to influence brain activ- ity and the routes by which brain activity controls muscle contractions.

The term ontogenetic comes from Greek roots meaning the origin (or genesis) of being. An ontogenetic explanation describes how a structure or behavior develops, including the influences of genes, nutrition, experiences, and their in- teractions. For example, males and females differ on aver- age in several ways. Some of those differences can be traced to the effects of genes or prenatal hormones, some relate to cultural influences, many relate partly to both, and some await further research.

An evolutionary explanation reconstructs the evolu- tionary history of a structure or behavior. The characteris- tic features of an animal are almost always modifications of something found in ancestral species. For example, bat wings are modified arms, and porcupine quills are modified hairs.

Unlike other birds, doves and pigeons can drink with their heads down. Others fill their mouths and then raise their heads. A physiological expla- nation would describe these birds’ nerves and throat muscles. An evolutionary explanation states that all doves and pigeons share this behavioral capacity because they inherited their genes from a common ancestor.

Figure Intro.4 A seadragon, an Australian fish related to the seahorse, lives among kelp plants, looks like kelp, and usually drifts slowly, acting like kelp. A functional explanation is that potential predators overlook a fish that resembles inedible plants. An evolutionary explanation is that genetic modifications expanded smaller appendages that were present in these fish’s ancestors.

In behavior, monkeys use tools occasionally, and humans evolved elaborations on those abilities that enable us to use tools even better (Peeters et al., 2009). Evolutionary explana- tions call attention to behavioral similarities among related species.

A functional explanation describes why a structure or behavior evolved as it did. Within a small, isolated pop- ulation, a gene can spread by accident through a process called genetic drift. For example, a dominant male with many offspring spreads all his genes, including some that may have been irrelevant to his success or even disadvanta- geous. However, a gene that is prevalent in a large popu- lation probably provided some advantage—at least in the past, though not necessarily today. A functional explana- tion identifies that advantage. For example, many species have an appearance that matches their background (see Figure Intro.4). A functional explanation is that camouflaged appearance makes the animal inconspicuous to predators. Some species use their behavior as part of the camouflage. For example, zone-tailed hawks, native to Mexico and the southwestern United States, fly among vultures and hold their wings in the same posture as vultures. Small mam- mals and birds run for cover when they see a hawk, but they learn to ignore vultures, which pose no threat to healthy animals. Because the zone-tailed hawks resemble vultures in both appearance and flight behavior, their prey disregard them, enabling the hawks to pick up easy meals (Clark, 2004).

To contrast the four types of biological explanation, con- sider how they all apply to one example, birdsong (Catchpole & Slater, 1995):

St ev

e M

as lo

w sk

i/S ci

en ce

S ou

rc e

Kr is

W ik

to r/

Sh ut

te rs

to ck

.c om

08202_intro_ptg01.indd 7 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8 INTRODUCTION Overview and Major Issues

STOP & CHECK 1. How does an evolutionary explanation differ from a func-

tional explanation?

ANSWER

1. An evolutionary explanation states what evolved from what. For example, humans evolved from earlier primates and therefore have certain features that we inherited from those ancestors, even if the features are not useful to us today. A functional explanation states why something was advantageous and therefore favored by natural selection.

Career Opportunities If you want to consider a career related to biological psychol- ogy, you have a range of options relating to research and ther- apy. Table Intro.1 describes some of the major fields.

A research position ordinarily requires a PhD in psy- chology, biology, neuroscience, or other related field. People with a master’s or bachelor’s degree might work in a research laboratory but would not direct it. Many people with a PhD hold college or university positions, where they perform some combination of teaching and

Table Intro.1 Fields of Specialization

Specialization Description

Research Fields Research positions ordinarily require a PhD. Researchers are employed by universities, hospitals, pharmaceutical firms, and research institutes.

Neuroscientist Studies the anatomy, biochemistry, or physiology of the nervous system. (This broad term includes any of the next five, as well as other specialties not listed.)

Behavioral neuroscientist (almost synonyms: psychobiologist, biopsychologist, or physiological psychologist)

Investigates how functioning of the brain and other organs influences behavior.

Cognitive neuroscientist Uses brain research, such as scans of brain anatomy or activity, to analyze and explore people’s knowledge, thinking, and problem solving.

Neuropsychologist Conducts behavioral tests to determine the abilities and disabilities of people with various kinds of brain damage, and changes in their condition over time. Most neuropsychologists have a mixture of psychological and medical training; they work in hospitals and clinics.

Psychophysiologist Measures heart rate, breathing rate, brain waves, and other body processes and how they vary from one person to another or one situation to another.

Neurochemist Investigates the chemical reactions in the brain.

Comparative psychologist (almost synonyms: ethologist, animal behaviorist)

Compares the behaviors of different species and tries to relate them to their ways of life.

Evolutionary psychologist (almost synonym: sociobiologist)

Relates behaviors, especially social behaviors, including those of humans, to the functions they have served and, therefore, the presumed selective pressures that caused them to evolve.

Practitioner Fields of Psychology Require a PhD, PsyD, or master’s degree. In most cases, their work is not directly related to neuroscience. However, practitioners often need to understand it enough to communicate with a client’s physician.

Clinical psychologist Employed by hospital, clinic, private practice, or college; helps people with emotional problems.

Counseling psychologist Employed by hospital, clinic, private practice, or college. Helps people make educational, vocational, and other decisions.

Type of Explanation Example from Birdsong

Physiological A particular area of a songbird brain grows under the influence of testosterone; hence, it is larger in breeding males than in females or immature birds. That brain area enables a mature male to sing.

Ontogenetic In certain species, a young male bird learns its song by listening to adult males. Development of the song requires certain genes and the opportunity to hear the appropriate song during a sensitive period early in life.

Evolutionary Certain pairs of species have similar songs. For example, dunlins and Baird’s sandpipers, two shorebird species, give their calls in distinct pulses, unlike other shorebirds. The similarity suggests that the two evolved from a single ancestor.

Functional In most bird species, only the male sings. He sings only during the reproductive season and only in his territory. The functions of the song are to attract females and warn away other males.

08202_intro_ptg01.indd 8 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

The Use of Animals in Research 9

Table Intro.1 Fields of Specialization

Specialization Description

School psychologist Most are employed by a school system. Identifies educational needs of schoolchildren, devises a plan to meet the needs, and then helps teachers implement it.

Medical Fields Require an MD plus about four years of additional specialized study and practice. Physicians are employed by hospitals, clinics, medical schools, and in private practice. Some conduct research in addition to seeing patients.

Neurologist Treats people with brain damage or diseases of the brain.

Neurosurgeon Performs brain surgery.

Psychiatrist Helps people with emotional distress or troublesome behaviors, sometimes using drugs or other medical procedures.

Allied Medical Field Ordinarily require a master’s degree or more. Practitioners are employed by hospitals, clinics, private practice, and medical schools.

Physical therapist Provides exercise and other treatments to help people with muscle or nerve problems, pain, or anything else that impairs movement.

Occupational therapist Helps people improve their ability to perform functions of daily life, for example, after a stroke.

Social worker Helps people deal with personal and family problems. The activities of a social worker overlap those of a clinical psychologist.

research. Others have pure research positions in labora- tories sponsored by the government, drug companies, or other industries.

Fields of therapy include clinical psychology, counseling psychology, school psychology, medicine, and allied medical practice such as physical therapy. These fields range from neu- rologists (who deal exclusively with brain disorders) to social workers and clinical psychologists, who need to recognize possible signs of brain disorder so they can refer a client to a proper specialist.

Anyone who pursues a career in research needs to stay up to date on new developments by attending conventions, consulting with colleagues, and reading research journals, such as The Journal of Neuroscience, Neurology, Behavioral Neuroscience, Brain Research, and Nature Neuroscience. But what if you are entering a field on the outskirts of neurosci- ence, such as clinical psychology, school psychology, social work, or physical therapy? In that case, you probably don’t want to wade through technical journal articles, but you do want to stay current on major developments, at least enough to converse intelligently with medical colleagues. You can find much information in the magazine Scientific American Mind or at websites such as the Dana Foundation at www .dana.org.

The Use of Animals in Research Certain ethical disputes resist agreement. One is abortion. Another is the use of animals in research. In both cases, well- meaning people on each side of the issue insist that their posi- tion is proper and ethical. The dispute is not a matter of the good guys against the bad guys. It is between two views of what is good.

Animals are used in many kinds of research studies, some dealing with behavior and others with the functions of the nervous system.

Ex pl

or er

/S ci

en ce

S ou

rc e

Ox yg

en G

ro up

/D av

id M

. B ar

ro n

(Continued)

08202_intro_ptg01.indd 9 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10 INTRODUCTION Overview and Major Issues

Given that most biological psychologists and neuroscien- tists are primarily interested in the human brain and human behavior, why do they study nonhumans? Here are four reasons:

1. The underlying mechanisms of behavior are similar across species and sometimes easier to study in a nonhuman species. If you want to understand a complex machine, you might begin by examining a simpler machine. We also learn about brain–behavior relationships by start- ing with simpler cases. For example, much research has been conducted on squid nerves, which are thicker than human nerves and therefore easier to study. The round- worm Caenorhabditis elegans has only 302 neurons, the same for all individuals, enabling researchers to map all the cells and all their interconnections. The brains and behavior of nonhuman vertebrates resemble those of humans in their chemistry and anatomy, but are smaller and easier to study (see Figure Intro.5).

2. We are interested in animals for their own sake. Humans are naturally curious. We would love to know about life, if any, elsewhere in the universe, regardless of whether that knowledge might be useful. Similarly, we would like to understand how bats chase insects in the dark, how migratory birds find their way over unfamiliar territory, and how schools of fish manage to swim in unison.

3. What we learn about animals sheds light on human evolu- tion. How did we come to be the way we are? How do we resemble chimpanzees and other primates, and how do we differ from them? Why and how did primates evolve larger brains than other species? Researchers approach such questions by comparing species.

4. Legal or ethical restrictions prevent certain kinds of research on humans. For example, investigators insert electrodes into the brains of rats and other animals to determine the relationship between brain activity and behavior. They also inject chemicals, extract brain chemi- cals, and study the effects of brain damage. Such experi- ments answer questions that investigators cannot address in any other way, including some questions that are criti- cal for medical progress. They also raise an ethical issue: If the research is unacceptable with humans, is it accept- able with other species? If so, under what circumstances?

Human

Monkey

Cerebellum

Rat

Cat

Cerebrum

Brainstem

Cerebellum

Cerebrum

Brainstem

Cerebrum

Cerebellum

Brainstem

Cerebrum

Cerebellum

Brainstem

Spinal cord

Figure Intro.5 Brains of several species The general plan and organization of the brain are similar for all mammals, even though the size varies from species to species.

In some cases, researchers simply observe how animal behavior in nature varies as a function of times of day, sea- sons of the year, changes in diet, and so forth. These proce- dures raise no ethical problems. In other studies, however,

STOP & CHECK 2. Describe reasons biological psychologists conduct much of

their research on nonhuman animals.

ANSWER

2. Sometimes the mechanisms of behavior are easier to study in a nonhuman species. We are curious about animals for their own sake. We study animals to under- stand human evolution. Certain procedures that might lead to important knowledge are illegal or unethical with humans.

08202_intro_ptg01.indd 10 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

The Use of Animals in Research 11

an animal as murder, regardless of whether the intention is to eat it, use its fur, or gain scientific knowledge. Keeping an animal in a cage (presumably even a pet) is, in their view, slavery. Because animals cannot give informed consent to research, abolitionists insist it is wrong to use them in any way, regardless of the circumstances. According to one opponent of animal research, “We have no moral option but to bring this research to a halt. Completely. . . . We will not be satisfied until every cage is empty” (Regan, 1986, pp. 39–40). Advocates of this position sometimes claim that most animal research is painful and that it never leads to important results. However, for a true abolitionist, nei- ther of those points really matters. Their moral imperative is that people have no right to use animals at all, even if the research is highly useful and totally painless.

The disagreement between abolitionists and animal re- searchers is a dispute between two ethical positions: “Never knowingly harm an innocent” and “Sometimes a little harm leads to a greater good.” On the one hand, permitting re- search has the undeniable consequence of inflicting pain or distress. On the other hand, banning all use of animals would mean a great setback in medical research as well as the end of animal-to-human transplants (e.g., transplant- ing pig heart valves to prolong lives of people with heart diseases).

It would be nice to say that this ethical debate has al- ways proceeded in an intelligent and mutually respectful way. Unfortunately, it has not. Over the years, abolitionists have sometimes advanced their cause through intimidation. Examples include vandalizing laboratories, placing a bomb under a professor’s car, placing a bomb on a porch (intended for a researcher but accidentally placed on the neighbor’s porch), banging on a researcher’s children’s windows at night, and inserting a garden hose through a researcher’s window to flood the house (Miller, 2007a). Michael Conn and James Parker (2008, p. 186) quote a spokesperson for the Animal Defense League as follows: “I don’t think you’d have to kill—assassinate—too many [doctors involved with animal testing]. . . . I think for 5 lives, 10 lives, 15 human lives, we could save a million, 2 million, 10 million nonhu- man lives.” One researcher, Dario Ringach, finally agreed to stop his research on monkeys, if animal-rights extrem- ists would stop harassing and threatening his children. He emailed them, “You win.” In addition to researchers who quit in the face of attacks, many colleges and other insti- tutions have declined to open animal research laboratories because of their fear of violence. Researchers have replied to attacks with campaigns such as the one illustrated in Figure Intro.6.

The often fervent and extreme nature of the oppo- sition makes it difficult for researchers to express inter- mediate or nuanced views. Many of them remark that they really do care about animals, despite using them for research. Some neuroscientists are even vegetarians

including many discussed in this book, animals have been subjected to brain damage, electrode implantation, injec- tions of drugs or hormones, and other procedures that are clearly not for their own benefit. Anyone with a con- science, including scientists, is distressed by this fact. Nev- ertheless, experimentation with animals has been critical to the medical research that led to methods for the pre- vention or treatment of polio, diabetes, measles, smallpox, massive burns, heart disease, and other serious conditions. Progress toward treating or preventing AIDS, Alzheimer’s disease, stroke, and other disorders depends largely on ani- mal research. In much of medicine and biological psychol- ogy, research would progress slowly or not at all without animals.

Degrees of Opposition Opposition to animal research ranges considerably in degree. “Minimalists” tolerate certain types of animal research but wish to limit or prohibit others depending on the probable value of the research, the amount of distress to the animal, and the type of animal. (Few people have serious qualms about hurting an insect, for example.) They favor firm regulations on research. Researchers agree in principle, although they of- ten differ in where they draw the line between acceptable and unacceptable research.

The legal standard emphasizes “the three R’s”: reduction of animal numbers (using fewer animals), replacement (using computer models or other substitutes for animals, when pos- sible), and refinement (modifying the procedures to reduce pain and discomfort). In the United States, every college or other institution that receives government research funds is required to have an Institutional Animal Care and Use Com- mittee, composed of veterinarians, community representa- tives, and scientists that evaluate proposed experiments, decide whether they are acceptable, and specify procedures to minimize pain and discomfort. Similar regulations and committees govern research on human subjects. In addition, research laboratories must abide by national laws requiring standards of cleanliness and animal care. Scientific journals accept publications only after researchers state that they followed all the laws and regulations. Professional organi- zations such as the Society for Neuroscience publish guide- lines for the use of animals in research (see Appendix B). Rules do differ, however, from one country to another. For example, research on treatments for Ebola, Zika, and other viruses requires studies on monkeys, but political pressures in the United States and Europe block nearly all such re- search, leaving the world to rely on researchers in China, where the government is more permissive (“Monkeying around,” 2016).

In contrast to “minimalists,” the “abolitionists” see no room for compromise. Abolitionists maintain that all ani- mals have the same rights as humans. They regard killing

08202_intro_ptg01.indd 11 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12 INTRODUCTION Overview and Major Issues

(Marris, 2006). But admitting to doubts seems almost like giving in to intimidation. The result is extreme polariza- tion that interferes with open-minded contemplation of the difficult issues.

We began this chapter with a quote from the Nobel Prize–winning biologist Niko Tinbergen, who argued that no fundamental gulf separates humans from other animal spe- cies. Because we are similar in many ways to other species, we learn much about ourselves from animal studies. Also because of that similarity, we wish not to hurt them. Neuroscience re- searchers who decide to conduct animal research do not, as a rule, take this decision lightly. They believe it is better to inflict distress under controlled conditions than to permit ig- norance and disease to inflict greater distress. In some cases, however, it is a difficult decision.

STOP & CHECK 3. What are the “three R’s” in the legal standards for animal

research? 4. How does the “minimalist” position differ from the “aboli-

tionist” position?

ANSWERS 3. Reduction, replacement, and refinement. 4. A “minimalist” wishes to limit animal research to studies with little discomfort and much potential value. An “abolitionist” wishes to eliminate all animal research regardless of how the animals are treated or how much value the research might produce.

Your Brain and Your Experience

The goal in this introduction has been to preview the kinds of questions biological psychologists hope to answer. In the next several chapters, we shall go through a great deal of technical information of the type you need to know before we can start applying it to questions about why people do what they do and experience what they experience.

Biological psychologists are ambitious, hoping to explain as much as possible of psychology in terms of brain processes,

genes, and the like. The guiding assumption is that the pattern of activity that occurs in your brain when you see something is your perception. The pattern that occurs when you feel fear is your fear. This is not to say “your brain physiology controls you” any more than “you control your brain.” Rather, your brain is you! The rest of this book explores how far we can go with this guiding assumption.

Introduction In Closing

Summary 1. Two profound, difficult questions are why the universe

exists, and why consciousness exists. Regardless of whether these questions are answerable, they motivate research on related topics. 4

2. Three key points are important to remember: First, perception occurs in your brain, not in your skin or in the object you see. Second, as far as we can tell, brain activity is inseparable from mental activity. Third, it is important

Figure Intro.6 In defense of animal research For many years, opponents of animal research have been protesting against experimentation with animals. This ad defends such research. (Source: Courtesy of the Foundation for Biomedical Research)

08202_intro_ptg01.indd 12 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

The Use of Animals in Research 13

to be cautious about what is or is not an explanation of behavior. 6

3. Biological psychologists address four types of questions about any behavior. Physiological: How does the behavior relate to the physiology of the brain and other organs? Ontogenetic: How does it develop within the individual? Evolutionary: How did the capacity for the behavior evolve? Functional: Why did the capacity for this behav- ior evolve? That is, what function does it serve or did it serve? 7

4. Many careers relate to biological psychology, including various research fields, certain medical specialties, and counseling and psychotherapy. 8

5. Researchers study animals because the mechanisms are sometimes easier to study in nonhumans, because they are interested in animal behavior for its own sake, because they want to understand the evolution of behavior, and because certain kinds of experiments are difficult or impossible with humans. 9

6. Using animals in research is ethically controversial. Some research does inflict stress or pain on animals. However, many research questions can be investigated only through animal research. 10

7. Animal research today is conducted under legal and ethi- cal controls that attempt to minimize animal distress. 11

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

biological psychology (p. 5) dualism (p. 6) evolutionary explanation (p. 7)

functional explanation (p. 7) mind–body or mind–brain

problem (p. 4)

monism (p. 6) ontogenetic explanation (p. 7) physiological explanation (p. 7)

Thought questions are intended to spark thought and discussion. In most cases, there is no clearly right answer.

1. Is consciousness useful? What, if anything, can we do because of consciousness that we couldn’t do otherwise?

2. What are the special difficulties of studying the evolu- tion of behavior, given that behavior doesn’t leave fos- sils (with a few exceptions such as footprints showing an animal’s gait)?

Thought Question

End of Introduction Quiz

1. What is meant by “monism”? A. The idea that all forms of life evolved from a single

ancestor B. The idea that conscious and unconscious motivations

combine to produce behavior

C. The idea that the mind is made of the same substance as the rest of the universe

D. The idea that the mind is one type of substance as matter is another

2. An ontogenetic explanation focuses on which of the following? A. How a behavior develops B. The brain mechanisms that produce a behavior

C. The conscious experience that accompanies a behavior

D. The procedures that measure a behavior

3. Of the following, which one is an example of an evolutionary explanation (as opposed to a functional explanation)? A. People evolved a fear of snakes because many snakes

are dangerous. B. Humans have a (tiny) tailbone because our ancient

monkey-like ancestors had a tail.

C. People evolved an ability to recognize faces because that ability is essential for cooperative social behaviors.

D. People evolved a tendency to form long-term male– female bonds because human infants benefit from the help of two parents during their long period of dependence.

08202_intro_ptg01.indd 13 9/18/17 10:29 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14 INTRODUCTION Overview and Major Issues

4. Of the following, which is a reason favoring the use of animals in biological psychology research aimed at solving human problems? A. Nonhuman animals engage in all the same behaviors

as humans. B. One human differs from another, but nonhumans are

nearly the same as one another.

C. The nervous system of nonhuman animals resembles that of humans in many ways.

D. Researchers can study nonhuman animals without any legal restraints.

5. What does a “minimalist” favor with regard to animal research? A. All research should have a minimum of at least 10

animals per group. B. A minimum of three people should review each

research proposal.

C. Interference with animal research should be held to a minimum.

D. Animal research is permissible but should be held to a minimum.

Answers: 1C, 2A, 3B, 4C, 5D.

Books de Waal, F. B. M. (2016). Are we smart enough to know how smart animals are? New York: W. W. Norton. An exploration of the intelligence of animals and the difficulties in estimating it accurately.

Morrison, A. R. (2009). An odyssey with animals: A veterinar- ian’s reflections on the animal rights & welfare debate. New York: Oxford University Press. A defense of animal research that acknowledges the difficulties of the issue and the compet- ing values at stake.

Suggestions for Further Reading

08202_intro_ptg01.indd 14 9/18/17 10:29 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_intro_ptg01.indd 15 9/15/17 5:57 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch01_ptg01.indd 16 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

17

People talk about growing into adulthood and becoming independent, but in fact almost no human life is truly independent. How often do you hunt your own meat and cook it on a fire you made from scratch? Do you grow your

own vegetables? Could you build your own house (with tools you made your-

self )? Have you ever made your own clothing (with materials you gathered

in the wild)? Of all the activities necessary for your survival, which ones—if

any—could you do completely on your own, other than breathe? People can

do an enormous amount together, but very little by themselves.

The cells of your nervous system are like that, too. Together they accom-

plish amazing things, but one cell by itself is helpless. We begin our study of

the nervous system by examining single cells. Later, we examine how they act

together.

Advice: Parts of this chapter and the next assume that you understand the

basics of chemistry. If you have never studied chemistry or if you have forgot-

ten what you did study, read Appendix A.

Module 1.1

The Cells of the Nervous System Neurons and Glia The Blood–Brain Barrier Nourishment of Vertebrate Neurons In Closing: Neurons

Module 1.2

The Nerve Impulse The Resting Potential of the Neuron The Action Potential Propagation of the Action Potential The Myelin Sheath and Saltatory Conduction Local Neurons In Closing: Neurons and Messages

After studying this chapter, you should be able to:

1. Describe neurons and glia, the cells that constitute the nervous system.

2. Summarize how the blood–brain barrier relates to protection and nutrition of neurons.

3. Explain how the sodium–potassium pump and the properties of the membrane lead to the resting potential of a neuron.

4. Discuss how the movement of sodium and potassium ions produces the action potential and recovery after it.

5. State the all-or-none law of the action potential.

Chapter 1 Nerve Cells and Nerve Impulses

Chapter Outline

Learning Objectives

Opposite:

An electron micrograph of neurons, magnified tens of thousands of times. The color is added artificially. For objects this small, it is impossible to focus light to obtain an image. It is possible to focus an electron beam, but electrons do not show color. (© Juan Gaertner/Shutterstock.com)

08202_ch01_ptg01.indd 17 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

18

Module 1.2Module 1.1

The Cells of the Nervous System

No doubt you think of yourself as an individual. You don’t think of your mental experience as being composed of pieces . . . but it is. Your experiences depend on the activity of a huge number of separate but interconnected cells. To under- stand the nervous system, the place to begin is to examine the cells that compose it.

Neurons and Glia The nervous system consists of two kinds of cells, neurons and glia. Neurons receive information and transmit it to other cells. Glia serve many functions that are difficult to summa- rize, and we shall defer that discussion until later in this mod- ule. The adult human brain contains approximately 86 billion neurons, on average (Herculano-Houzel, Catania, Manger, & Kaas, 2015; see Figure 1.1). The exact number varies from per- son to person.

We now take it for granted that the brain is composed of individual cells, but the idea was in doubt as recently as the early 1900s. Until then, the best microscopic views revealed little detail about the brain. Observers noted long, thin fi- bers between one cell body and another, but they could not see whether a fiber merged into the next cell or stopped before it. In the late 1800s, Santiago Ramón y Cajal used newly developed staining techniques to show that a small gap separates the tip of a neuron’s fiber from the surface of the next neuron. The brain, like the rest of the body, consists of individual cells.

Santiago Ramón y Cajal, a Pioneer of Neuroscience Two scientists of the late 1800s and early 1900s are widely recognized as the main founders of neuroscience—Charles Sherrington, whom we shall discuss in Chapter 2, and the Spanish investigator Santiago Ramón y Cajal (1852–1934). Cajal’s early education did not progress smoothly. At one point, he was imprisoned in a solitary cell, limited to one meal a day, and taken out daily for public floggings—at the age of 10—for the crime of not paying attention during his Latin class (Cajal, 1901–1917/1937). (And you complained about your teachers!)

Cerebral cortex: 16 billion neurons

Rest of the brain: Less than 1 billion

Spinal cord: 1 billion neurons

Cerebellum: 69 billion neurons

Figure 1.1 Estimated numbers of neurons in humans The numbers differ from one person to another. (Source: Herculano-Houzel et al., 2015)

Santiago Ramón y Cajal (1852–1934) How many interesting facts fail to be con- verted into fertile discoveries because their first observers regard them as natural and ordinary things! . . . It is strange to see how the populace, which nourishes its imagina- tion with tales of witches or saints, mysteri- ous events and extraordinary occurrences,

disdains the world around it as commonplace, monotonous and prosaic, without suspecting that at bottom it is all secret, mystery, and marvel. (Cajal, 1937, pp. 46–47)

Be ttm

an n/

Ge tty

Im ag

es

08202_ch01_ptg01.indd 18 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.1 The Cells of the Nervous System 19

membrane permit a controlled flow of water, oxygen, sodium, potassium, calcium, chloride, and other important chemicals.

Except for mammalian red blood cells, all animal cells have a nucleus, the structure that contains the chromosomes. A mitochondrion (plural: mitochondria) is the structure that performs metabolic activities, providing the energy that the cell uses for all activities. Mitochondria have genes separate from those in the nucleus of a cell, and mitochondria differ from one another genetically. People with overactive mitochondria tend to burn their fuel rapidly and overheat, even in a cool environ- ment. People whose mitochondria are less active than normal are predisposed to depression and pains. Mutated mitochon- drial genes are a possible cause of autism (Aoki & Cortese, 2016).

Ribosomes are the sites within a cell that synthesize new protein molecules. Proteins provide building materials for the cell and facilitate chemical reactions. Some ribosomes float freely within the cell, but others are attached to the endoplasmic reticulum, a network of thin tubes that trans- port newly synthesized proteins to other locations.

The Structure of a Neuron The most distinctive feature of neurons is their shape, which varies enormously from one neuron to another (see Figure 1.3). Unlike most other body cells, neurons have long branching ex- tensions. All neurons include a soma (cell body), and most also have dendrites, an axon, and presynaptic terminals. The tini- est neurons lack axons, and some lack well-defined dendrites. Contrast the motor neuron in Figure 1.4 and the sensory neu- ron in Figure 1.5. A motor neuron, with its soma in the spinal cord, receives excitation through its dendrites and conducts impulses along its axon to a muscle. A sensory neuron is spe- cialized at one end to be highly sensitive to a particular type of stimulation, such as light, sound, or touch. The sensory

Cajal wanted to become an artist, but his father insisted that he study medicine as a safer way to make a living. He managed to combine the two fields, becoming an outstanding anatomical researcher and illustrator. His detailed drawings of the nervous system are still considered definitive today.

Before the late 1800s, microscopy revealed few details about the nervous system. Then the Italian investigator Camillo Golgi found a way to stain nerve cells with silver salts. This method, which completely stains some cells without affecting others at all, enabled researchers to examine the structure of a single cell. Cajal used Golgi’s methods but applied them to infant brains, in which the cells are smaller and therefore easier to examine on a single slide. Cajal’s research demonstrated that nerve cells remain separate instead of merging into one another. (Oddly, when Cajal and Golgi shared the 1906 Nobel Prize for Physiology or Medicine, they used their acceptance lectures to defend contradictory positions. In spite of Cajal’s evidence, which had persuaded almost everyone else, Golgi clung to the theory that all nerve cells merge directly into one another.)

Philosophically, we see the appeal of the old idea that neurons merge. We describe our experience as undivided, not the sum of separate parts, so it seemed right that all the cells in the brain might be joined together as one unit. How the separate cells combine their influences is a complex and still mysterious process.

The Structures of an Animal Cell Figure 1.2 illustrates a neuron from the cerebellum of a mouse (magnified enormously, of course). Neurons have much in com- mon with the rest of the body’s cells. The surface of a cell is its membrane (or plasma membrane), a structure that separates the inside of the cell from the outside environment. Most chem- icals cannot cross the membrane, but protein channels in the

(nuclear envelope)

(nucleolus)

Nucleus (membrane-enclosed region

containing DNA; hereditary control)

(ribosomes)

Endoplasmic reticulum (isolation, modi�cation, transport of proteins and other substances)

Mitochondrion (aerobic energy

metabolism)

Plasma membrane (control of material

exchanges, mediation of cell- environment interactions)

Figure 1.2 An electron micro- graph of parts of a neuron from the cerebellum of a mouse The nucleus, membrane, and other structures are characteristic of most animal cells. The plasma membrane is the border of the neuron. Magnifi- cation approximately x 20,000. (Source: Courtesy of Dr. Dennis M. D. Landis)

08202_ch01_ptg01.indd 19 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

20 CHAPTER 1 Nerve Cells and Nerve Impulses

neuron shown in Figure 1.5 conducts touch information from the skin to the spinal cord. Tiny branches lead directly from the receptors into the axon, and the cell’s soma is located on a little stalk off the main trunk.

Dendrites are branching fibers that get narrower near their ends. (The term dendrite comes from a Greek root word meaning “tree.” A dendrite branches like a tree.) The den- drite’s surface is lined with specialized synaptic receptors, at which the dendrite receives information from other neurons. (Chapter 2 concerns synapses.) The greater the surface area of a dendrite, the more information it can receive. Many den- drites contain dendritic spines, short outgrowths that in- crease the surface area available for synapses (see Figure 1.6).

The cell body, or soma (Greek for “body”; plural: so- mata), contains the nucleus, ribosomes, and mitochondria. Most of a neuron’s metabolic work occurs here. Cell bodies of neurons range in diameter from 0.005 millimeter (mm) to 0.1 mm in mammals and up to a millimeter in certain inverte- brates. In many neurons, the cell body is like the dendrites— covered with synapses on its surface.

The axon is a thin fiber of constant diameter. (The term axon comes from a Greek word meaning “axis.”) The axon con- veys an impulse toward other neurons, an organ, or a muscle. Axons can be more than a meter in length, as in the case of ax- ons from your spinal cord to your feet. The length of an axon is enormous in comparison to its width, and in comparison

Dendrite

Nucleus

Axon hillock

Soma Dendritic spines

Myelin sheath

Presynaptic terminals

Muscle �ber

AxonFigure 1.4 The components of a vertebrate motor neuron The cell body of a motor neuron is located in the spinal cord. The parts are not drawn to scale. In reality, an axon is much longer in proportion to the soma.

Skin surface

Cross section of skin

Sensory endings

Soma Nucleus

Axon

Figure 1.5 A vertebrate sensory neuron Note that the soma is located on a stalk off the main trunk of the axon. As in Figure 1.4, the structures are not drawn to scale.

Figure 1.3 Neurons, stained to appear dark Note the small fuzzy-looking spines on the dendrites. (Source: Photo courtesy of Bob Jacobs, Colorado College)

08202_ch01_ptg01.indd 20 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.1 The Cells of the Nervous System 21

to the length of dendrites. Giorgio Ascoli (2015) offers the analogy that if you could expand the dendrite of a reasonably typical neuron to the height of a tree, the cell’s axon and its branches would extend for more than 25 city blocks.

Many vertebrate axons are covered with an insulating material called a myelin sheath with interruptions known as nodes of Ranvier (RAHN-vee-ay). Invertebrate axons do not have myelin sheaths. Although a neuron can have many dendrites, it can have only one axon, but the axon may have branches. The end of each branch has a swelling, called a presynaptic terminal, also known as an end bulb or bouton (French for “button”). At that point the axon releases chemicals that cross through the junction between that neuron and another cell.

Other terms associated with neurons are afferent, effer- ent, and intrinsic. An afferent axon brings information into a structure; an efferent axon carries information away from a structure. Every sensory neuron is an afferent to the rest of the nervous system, and every motor neuron is an efferent from the nervous system. Within the nervous system, a given neu- ron is an efferent from one structure and an afferent to another (see Figure 1.7). You can remember that efferent starts with e as in exit; afferent starts with a as in admit. If a cell’s dendrites and axon are entirely contained within a single structure, the cell is an interneuron or intrinsic neuron of that structure. For example, an intrinsic neuron of the thalamus has its axon and all its dendrites within the thalamus.

1mm Shaft

Spine

Figure 1.6 Dendritic spines Many dendrites are lined with spines, short outgrowths that receive incoming information. (Source: From K. M. Harris and J. K. Stevens, Society for Neuroscience, “Dendritic Spines of CA1 Pyramidal Cells in the Rat Hippocampus: Serial Electron Microscopy with Reference to Their Biophysical Characteristics.” Journal of Neuroscience, 9 (1989), 2982–2997. Copyright © 1989 Society for Neuroscience. Reprinted by permission.)

A Afferent (to B)

Efferent (from A)

B

Figure 1.7 Cell structures and axons It all depends on the point of view. An axon from A to B is an efferent axon from A and an afferent axon to B, just as a train from Washington to New York is exiting Washington and approaching New York.

Variations among Neurons Neurons vary enormously in size, shape, and function. The shape of a neuron determines its connections with other cells and thereby determines its function (see Figure 1.8). For ex- ample, the widely branching dendrites of the Purkinje cell in the cerebellum (see Figure 1.8a) enable it to receive input from up to 200,000 other neurons. By contrast, bipolar neurons in the retina (see Figure 1.8d) have only short branches, and some receive input from as few as two other cells.

Glia Glia (or neuroglia), the other components of the nervous system, perform many functions (see Figure 1.9). The term glia, derived from a Greek word meaning “glue,” reflects early investigators’ idea that glia were like glue that held the neu- rons together. Although that concept is obsolete, the term remains. Glia outnumber neurons in the cerebral cortex, but neurons outnumber glia in several other brain areas,

ANSWERS

1. The widely branching structures of a neuron are called dendrites, and the long thin structure that carries informa- tion to another cell is called an axon. 2. The longest axons occur in the largest animals. For example, giraffes and elephants have axons that extend from the spinal cord to the feet, nearly 2 meters away. 3. Because an interneu- ron is contained entirely within one part of the brain, its axon is short.

STOP & CHECK 1. What are the widely branching structures of a neuron called?

And what is the long, thin structure that carries information to another cell called?

2. Which animal species would have the longest axons? 3. Compared to other neurons, would an interneuron’s axon be

relatively long, short, or about the same?

08202_ch01_ptg01.indd 21 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

22 CHAPTER 1 Nerve Cells and Nerve Impulses

especially the cerebellum (Herculano-Houzel et al., 2015; Khakh & Sofroniew, 2015). Overall, the numbers are almost equal.

The brain has several types of glia. The star-shaped astrocytes wrap around the synapses of functionally related axons, as shown in Figure 1.10. By surrounding a connection between neurons, an astrocyte shields it from chemicals cir- culating in the surround (Nedergaard & Verkhatsky, 2012). Also, by taking up the ions and transmitters released by axons and then releasing them back, an astrocyte helps synchronize closely related neurons, enabling their axons to send mes- sages in waves (Martín, Bajo-Grañeras, Moratalla, Perea, & Araque, 2015). Astrocytes are therefore important for gener- ating rhythms, such as your rhythm of breathing (Morquette et al., 2015).

Astrocytes dilate the blood vessels to bring more nutri- ents into brain areas that have heightened activity (Filosa et al., 2006; Takano et al., 2006). A possible role in information pro- cessing is also likely but less certain. According to a popular hypothesis known as the tripartite synapse, the tip of an axon releases chemicals that cause the neighboring astrocyte to release chemicals of its own, thus magnifying or modifying

Dendrites

Axon

Axon

Apical dendrite

Basilar dendrites

(a)

(c)

(b) (d)

(e)

10 mm

Figure 1.8 The diverse shapes of neurons (a) Purkinje cell, a cell type found only in the cerebellum; (b) sensory neurons from skin to spinal cord; (c) pyramidal cell of the motor area of the cerebral cortex; (d) bipolar cell of retina of the eye; (e) Kenyon cell, from a honeybee. (Source: Part e courtesy of R. G. Goss)

the message to the next neuron (Ben Achour & Pascual, 2012). This process is a possible contributor to learning and memory (De Pitta, Brunel, & Volterra, 2016). In some brain areas, as- trocytes also respond to hormones and thereby influence neu- rons (Kim et al., 2014). In short, astrocytes are active partners of neurons in many ways.

Tiny cells called microglia act as part of the immune system, removing viruses and fungi from the brain. They proliferate after brain damage, removing dead or damaged neurons (Brown & Neher, 2014). They also contribute to learning by removing the weakest synapses (Zhan et al., 2014). Oligodendrocytes (OL-i-go-DEN-druh-sites) in the brain and spinal cord and Schwann cells in the periph- ery of the body build the myelin sheaths that surround and insulate certain vertebrate axons. They also supply an axon with nutrients necessary for proper functioning (Y. Lee et al., 2012). Radial glia guide the migration of neurons and their axons and dendrites during embryonic development. When embryological development finishes, most radial glia differentiate into neurons, and a smaller number dif- ferentiate into astrocytes and oligodendrocytes (Pinto & Götz, 2007).

08202_ch01_ptg01.indd 22 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.1 The Cells of the Nervous System 23

Microglia

Axon

Schwann cell

Schwann cell

Oligodendrocyte

Axon

Myelin sheath

Astrocyte

Capillary (small blood vessel)

Microglia

Astrocyte

Migrating neuron

Radial glia

Figure 1.9 Shapes of some glia cells Oligodendrocytes produce myelin sheaths that insulate certain vertebrate axons in the central nervous system; Schwann cells have a similar function in the periphery. The oligodendrocyte is shown here forming a segment of myelin sheath for two axons; in fact, each oligodendrocyte forms such segments for 30 to 50 axons. Astrocytes pass chemicals back and forth between neurons and blood and among neighboring neurons. Microglia proliferate in areas of brain damage and remove toxic materials. Radial glia (not shown here) guide the migration of neurons during embryological development. Glia have other functions as well.

Neuron

Astrocyte

Synapse enveloped by astrocyte

Figure 1.10 How an astrocyte synchronizes associated axons Branches of the astrocyte (in the center) surround the presynaptic ter- minals of related axons. If a few of them are active at once, the astrocyte absorbs some of the chemicals they release. It then temporarily inhibits all the axons to which it is connected. When the inhibition ceases, all of the axons are primed to respond again in synchrony. (Source: Based on Antanitus, 1998)

STOP & CHECK 4. What are the four major structures that compose a neuron? 5. Which kind of glia cell wraps around the synaptic terminals

of axons?

4. Dendrites, soma (cell body), axon, and presynaptic terminal. 5. Astrocytes.ANSWERS

The Blood–Brain Barrier Although the brain, like any other organ, needs to receive nutrients from the blood, many chemicals cannot cross from the blood to the brain (Hagenbuch, Gao, & Meier, 2002). The mechanism that excludes most chemicals from the vertebrate brain is known as the blood–brain barrier. Before we exam- ine how it works, let’s consider why we need it.

Why We Need a Blood–Brain Barrier When a virus invades a cell, mechanisms within the cell ex- trude virus particles through the membrane so that the im- mune system can find them. When the immune system cells

Na nc

y K ed

er sh

a/ UC

LA /S

cie nc

e So

ur ce

N an

cy K

ed er

sh a/

UC LA

/S ci

en ce

S ou

rc e

08202_ch01_ptg01.indd 23 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

24 CHAPTER 1 Nerve Cells and Nerve Impulses

Ottersen, 2003). For certain other chemicals, the brain uses active transport, a protein-mediated process that expends energy to pump chemicals from the blood into the brain. Chemicals that are actively transported into the brain include glucose (the brain’s main fuel), amino acids (the building blocks of proteins), purines, choline, a few vitamins, and iron (Abbott, Rönnback, & Hansson, 2006; Jones & Shusta, 2007). Insulin and probably certain other hormones also cross the blood–brain barrier, at least in small amounts, although the mechanism is not yet known (Gray, Meijer, & Barrett, 2014; McNay, 2014).

The blood–brain barrier is essential to health. In people with Alzheimer’s disease or similar conditions, the endothe- lial cells lining the brain’s blood vessels shrink, and harmful chemicals enter the brain (Zipser et al., 2007). However, the barrier poses a difficulty for treating brain cancers, because nearly all the drugs used for chemotherapy fail to cross the blood–brain barrier.

discover a virus, they kill it and the cell that contains it. In ef- fect, a cell exposing a virus through its membrane says, “Look, immune system, I’m infected with this virus. Kill me and save the others.”

This plan works fine if the virus-infected cell is, for exam- ple, a skin cell or a blood cell, which the body replaces easily. However, with few exceptions, the vertebrate brain does not replace damaged neurons. If you had to sacrifice brain cells whenever you had a viral infection, you would not do well! To minimize the risk of irreparable brain damage, the body lines the brain’s blood vessels with tightly packed cells that keep out most viruses, bacteria, and harmful chemicals.

However, certain viruses do cross the blood–brain bar- rier (Kristensson, 2011). What happens then? When the ra- bies virus evades the blood–brain barrier, it infects the brain and leads to death. The spirochete responsible for syphilis also penetrates the blood–brain barrier, producing long-lasting and potentially fatal consequences. The microglia are more effective against several other viruses that enter the brain, mounting an inflammatory response that fights the virus with- out killing the neuron (Ousman & Kubes, 2012). However, this response may control the virus without eliminating it. When the chicken pox virus enters spinal cord cells, virus particles remain there long after they have been exterminated from the rest of the body. The virus may emerge from the spi- nal cord decades later, causing a painful condition called shin- gles. Similarly, the virus responsible for genital herpes hides in the nervous system, producing little harm there but periodi- cally emerging to cause new genital infections.

How the Blood–Brain Barrier Works The blood–brain barrier (see Figure 1.11) depends on the endothelial cells that form the walls of the capillaries (Bundgaard, 1986; Rapoport & Robinson, 1986). Outside the brain, such cells are separated by small gaps, but in the brain, they are joined so tightly that they block viruses, bacteria, and other harmful chemicals from passage.

“If the blood–brain barrier is such a good defense,” you might ask, “why don’t we have similar walls around all our other organs?” The answer is that the barrier keeps out useful chemicals as well as harmful ones. Those useful chemicals in- clude all fuels and amino acids, the building blocks for proteins. For these chemicals to cross the blood–brain barrier, the brain needs special mechanisms not found in the rest of the body.

No special mechanism is required for small, uncharged molecules such as oxygen and carbon dioxide that cross through cell walls freely. Also, molecules that dissolve in the fats of the membrane cross easily. Examples include vitamins A and D and all the drugs that affect the brain—from antide- pressants and other psychiatric drugs to illegal drugs such as heroin. How fast a drug takes effect depends largely on how readily it dissolves in fats and therefore crosses the blood– brain barrier.

Water crosses through special protein channels in the wall of the endothelial cells (Amiry-Moghaddam &

Brain tissue

Brain tissue

Fat-soluble molecule

Glucose transport

Amino-acid transport

Blood vessel

Endothelial cell

Large molecule

Charged molecules

Cell wall tight junction

CO2

CO2

O2

O2

+–

Figure 1.11 The blood–brain barrier Most large molecules and electrically charged molecules cannot cross from the blood to the brain. A few small, uncharged molecules such as O2 and CO2 cross easily, as can certain fat-soluble molecules. Active transport systems pump glucose and amino acids across the membrane.

08202_ch01_ptg01.indd 24 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.1 The Cells of the Nervous System 25

sperm also rely overwhelmingly on glucose.) Because metab- olizing glucose requires oxygen, neurons need a steady supply of oxygen. Although the human brain constitutes only about 2 percent of the body’s weight, it uses about 20 percent of its oxygen and 25 percent of its glucose (Bélanger, Allaman, & Magistretti, 2011).

Why do neurons depend so heavily on glucose? They can and sometimes do use ketones (a kind of fat) and lactate for fuel. However, glucose is the only nutrient that crosses the blood–brain barrier in large quantities.

Although neurons require glucose, glucose shortage is rarely a problem, except during starvation. The liver makes glucose from many kinds of carbohydrates and amino acids, as well as from glycerol, a breakdown product from fats. A more likely problem is an inability to use glucose. To use glucose, the body needs vitamin B1, thiamine. Prolonged thiamine deficiency, common in chronic alcoholism, leads to death of neurons and a condition called Korsakoff ’s syndrome, marked by severe memory impairments.

Nourishment of Vertebrate Neurons Most cells use a variety of carbohydrates and fats for nu- trition, but vertebrate neurons depend almost entirely on glucose, a sugar. (Cancer cells and the testis cells that make

ANSWERS

6. The blood–brain barrier keeps out viruses (an advan- tage) and also keeps out most nutrients (a disadvan- tage). 7. Small, uncharged molecules such as oxygen, carbon dioxide, and water cross the blood–brain barrier passively. So do chemicals that dissolve in the fats of the membrane. 8. Glucose, amino acids, purines, choline, certain vitamins, and iron.

STOP & CHECK 6. Identify one major advantage and one disadvantage of having

a blood–brain barrier. 7. Which chemicals cross the blood–brain barrier passively? 8. Which chemicals cross the blood–brain barrier by active

transport?

Neurons

What does the study of individual neurons tell us about behav- ior? Everything the brain does depends on the detailed anat- omy of its neurons and glia. In a later chapter we consider the physiology of learning, where one slogan is that “cells that fire together, wire together.” That is, neurons active at the same time become connected. However, that is true only if the neurons active at the same time are also in approximately the same place (Ascoli, 2015). The brain cannot connect dendrites

or axons that cannot find each other. In short, the locations, structures, and activities of your neurons are the basis for everything you experience, learn, or do.

However, nothing in your experience or behavior follows from the properties of any one neuron. The nervous system is more than the sum of its individual cells, just as water is more than the sum of oxygen and hydrogen. Our behavior emerges from the communication among neurons.

Module 1.1 In Closing

Summary 1. Neurons receive information and convey it to other cells.

The nervous system also contains glia, cells that enhance and modify the activity of neurons in many ways. 18

2. In the late 1800s, Santiago Ramón y Cajal used newly discovered staining techniques to establish that the ner- vous system is composed of separate cells, now known as neurons. 18

3. Neurons contain the same internal structures as other animal cells. 19

4. Neurons have these major parts: a cell body (or soma), dendrites, an axon with branches, and presynaptic terminals. Neurons’ shapes vary greatly depending on their functions and their connections with other cells. 19

5. Because of the blood–brain barrier, many molecules cannot enter the brain. The barrier protects the nervous system from viruses and many dangerous chemicals. 23

6. The blood–brain barrier consists of an unbroken wall of cells that surround the blood vessels of the brain and spi- nal cord. A few small, uncharged molecules such as water, oxygen, and carbon dioxide cross the barrier freely. So do molecules that dissolve in fats. Active transport proteins pump glucose, amino acids, and a few other chemicals into the brain and spinal cord. Certain hormones, includ- ing insulin, also cross the blood–brain barrier. 24

7. Neurons rely heavily on glucose, the only nutrient that crosses the blood–brain barrier in large quantities. They need thiamine (vitamin B1) to use glucose. 25

08202_ch01_ptg01.indd 25 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

26 CHAPTER 1 Nerve Cells and Nerve Impulses

Key Terms

Module 1.1 End of Module Quiz

Although heroin and morphine are similar in many ways, heroin exerts faster effects on the brain. What can we infer about those drugs with regard to the blood–brain barrier?

Thought Question

Terms are defined in the module on the page number indicated. They are also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

active transport 24 afferent axon 21 astrocytes 22 axon 20 blood–brain barrier 23 cell body (soma) 20 dendrites 20 dendritic spines 20 efferent axon 21 endoplasmic reticulum 19

glia 21 glucose 25 interneuron 21 intrinsic neuron 21 membrane 19 microglia 22 mitochondrion 19 motor neuron 19 myelin sheath 21 neurons 18

nodes of Ranvier 21 nucleus 19 oligodendrocytes 22 presynaptic terminal 21 radial glia 22 ribosomes 19 Schwann cells 22 sensory neuron 19 thiamine 25

1. Santiago Ramón y Cajal was responsible for which of these discoveries? A. The human cerebral cortex has many specializations

to produce language. B. The brain’s left and right hemispheres control differ-

ent functions.

C. The nervous system is composed of separate cells. D. Neurons communicate at specialized junctions called

synapses.

2. Which part of a neuron has its own genes, separate from those of the nucleus? A. The ribosomes B. The mitochondria

C. The axon D. The dendrites

3. What is most distinctive about neurons, compared to other cells? A. Their temperature B. Their shape

C. Their internal components, such as ribosomes and mitochondria

D. Their color

4. Which of these do dendritic spines do? A. They synthesize proteins. B. They increase the surface area available for synapses.

C. They hold the neuron in position. D. They metabolize fuels to provide energy for the rest of

the neuron.

5. What does an efferent axon do? A. It controls involuntary behavior. B. It controls voluntary behavior.

C. It carries output from a structure. D. It brings information into a structure.

6. Which of the following is a function of astrocytes? A. Astrocytes conduct impulses over long distances. B. Astrocytes build myelin sheaths that surround and

insulate axons.

C. Astrocytes create the blood–brain barrier. D. Astrocytes synchronize activity for a group

of neurons.

08202_ch01_ptg01.indd 26 9/15/17 6:24 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.1 The Cells of the Nervous System 27

7. Which of the following is a function of microglia? A. Microglia remove dead cells and weak synapses. B. Microglia build myelin sheaths that surround and

insulate axons.

C. Microglia dilate blood vessels to increase blood supply to active brain areas.

D. Microglia synchronize activity for a group of neurons.

8. Which of these can easily cross the blood–brain barrier? A. Fat-soluble molecules B. Chemotherapy drugs

C. Proteins D. Viruses

9. Which of these chemicals cross the blood–brain barrier by active transport? A. Oxygen, water, and fat-soluble molecules B. Glucose and amino acids

C. Proteins D. Viruses

10. What is the brain’s main source of fuel? A. Glucose B. Glutamate

C. Chocolate D. Proteins

11. For the brain to use its main source of fuel, what does it also need? A. Steroid hormones B. Vitamin C

C. Thiamine D. Acetylsalicylic acid

Answers: 1C, 2B, 3B, 4B, 5C, 6D, 7A, 8A, 9B, 10A, 11C.

08202_ch01_ptg01.indd 27 9/14/17 12:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

28

Module 1.2

The Nerve Impulse

Think about the axons that convey information from the touch receptors in your hands or feet toward your spinal cord and brain. If the axons used electrical conduction, they could transfer information at a velocity approaching the speed of light. However, given that your body is made of water and carbon compounds instead of copper wire, the strength of an impulse would decay rapidly as it traveled. A touch on your shoulder would feel stronger than a touch on your abdomen. Short people would feel their toes more strongly than tall peo- ple could—if either could feel their toes at all.

The way your axons actually function avoids these prob- lems. Instead of conducting an electrical impulse, the axon regenerates an impulse at each point. Imagine a long line of people holding hands. The first person squeezes the second person’s hand, who then squeezes the third person’s hand, and so forth. The impulse travels along the line without weakening because each person generates it anew.

Although the axon’s method of transmitting an impulse prevents a touch on your shoulder from feeling stronger than one on your toes, it introduces a different problem: Because axons transmit information at only moderate speeds (varying from less than 1 meter/second to about 100 m/s), a touch on your shoulder reaches your brain sooner than will a touch on your toes, although you will not ordinarily notice the differ- ence. Your brain is not set up to register small differences in the time of arrival of touch messages. After all, why should it be? You almost never need to know whether a touch on one part of your body occurred slightly before or after a touch somewhere else.

In vision, however, your brain does need to know whether one stimulus began slightly before or after another one. If two adjacent spots on your retina—let’s call them A and B—send impulses at almost the same time, an extremely small differ- ence between them in timing tells your brain whether light moved from A to B or from B to A. To detect movement as accurately as possible, your visual system compensates for the fact that some parts of the retina are slightly closer to your brain than other parts are. Without some sort of compensa- tion, simultaneous flashes arriving at two spots on your ret- ina would reach your brain at different times, and you might perceive movement inaccurately. What prevents this illusion is the fact that axons from more distant parts of your retina

transmit impulses slightly faster than those closer to the brain (Stanford, 1987)!

In short, the properties of impulse conduction in an axon are amazingly well adapted to your needs for information transfer. Let’s examine the mechanics of impulse transmission.

The Resting Potential of the Neuron Messages in a neuron develop from disturbances of the resting potential. Let’s begin by understanding the resting potential.

All parts of a neuron are covered by a membrane about 8 nanometers (nm) thick. That is about one ten-thousandth the width of an average human hair. The membrane is com- posed of two layers (free to float relative to each other) of phospholipid molecules (containing chains of fatty acids and a phosphate group). Embedded among the phospholipids are cylindrical protein molecules through which certain chemi- cals can pass (see Figure 1.12).

When at rest, the membrane maintains an electrical gradient, also known as polarization—a difference in

Phospholipid molecules

Protein molecules

Figure 1.12 The membrane of a neuron Embedded in the membrane are protein channels that permit certain ions to cross through the membrane at a controlled rate.

08202_ch01_ptg01.indd 28 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 29

of the sodium–potassium pump, sodium ions are more than 10 times more concentrated outside the membrane than inside, and potassium ions are more concentrated in- side than outside.

The sodium–potassium pump is effective only because of the selective permeability of the membrane, which prevents the sodium ions that were pumped out of the neuron from leaking right back in again. When sodium ions are pumped out, they stay out. However, some of the potassium ions in the neuron slowly leak out, carrying a positive charge with them. That leakage increases the electrical gradient across the mem- brane, as shown in Figure 1.15.

When the neuron is at rest, two forces act on sodium, both tending to push it into the cell. First, consider the electri- cal gradient. Sodium is positively charged and the inside of the

electrical charge between the inside and outside of the cell. The electrical potential inside the membrane is slightly nega- tive with respect to the outside, mainly because of negatively charged proteins inside the cell. This difference in voltage is called the resting potential.

Researchers measure the resting potential by inserting a very thin microelectrode into the cell body, as in Figure 1.13. The diameter of the electrode must be small enough to enter without damaging the cell. The most common electrode is a fine glass tube filled with a salt solution, tapering to a tip di- ameter of 0.0005 mm or less. A reference electrode outside the cell completes the circuit. Connecting the electrodes to a voltmeter, we find that the neuron’s interior has a negative potential relative to its exterior. The magnitude varies, but a typical level is –70 millivolts (mV).

Forces Acting on Sodium and Potassium Ions If charged ions could flow freely across the membrane, the mem- brane would depolarize, eliminating the negative potential in- side. However, the membrane has selective permeability. That is, some chemicals pass through it more freely than others do. Oxygen, carbon dioxide, urea, and water cross freely through channels that are always open. Several biologically important ions, including sodium, potassium, calcium, and chloride, cross through membrane channels (or gates) that are sometimes open and sometimes closed, as shown in Figure 1.14. When the membrane is at rest, the sodium and potassium channels are closed, permitting almost no flow of sodium and only a small flow of potassium. Certain types of stimulation can open these channels, permitting freer flow of either or both ions.

The sodium–potassium pump, a protein complex, re- peatedly transports three sodium ions out of the cell while drawing two potassium ions into it. The sodium–potassium pump is an active transport that requires energy. As a result

Axon

Axons from other neurons

Reference microelectrode

Intracellular microelectrode

Amplifier

Computer

Soma

Figure 1.13 Methods for recording activity of a neuron Diagram of the apparatus and a sample recording. (Source: Fritz Goro)

K+

K+

K+

Na+

Na+

Ion pathways

Membrane of neuron

Ion pores

Figure 1.14 Ion channels in the membrane of a neuron When a channel opens, it permits some type of ion to cross the mem- brane. When it closes, it prevents passage of that ion.

08202_ch01_ptg01.indd 29 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

30 CHAPTER 1 Nerve Cells and Nerve Impulses

a room. Men can enter the room or leave through a narrow door. They are attracted to the women, but when the men get too crowded, some of them leave. The concentration gradient counteracts the attraction.)

If the potassium channels were wide open, potassium would have a small net flow out of the cell. That is, the electri- cal gradient and concentration gradient for potassium are al- most in balance, but not quite. The sodium–potassium pump continues pulling potassium into the cell, counteracting the ions that leak out.

The cell has negative ions, too. Negatively charged pro- teins inside the cell sustain the membrane’s polarization. Chloride ions, being negatively charged, are mainly outside the cell. When the membrane is at rest, the concentration gradient and electrical gradient balance, so opening the chloride channels would produce little effect. However, chloride does have a net flow when the membrane’s polar- ization changes.

cell is negatively charged. Opposite electrical charges attract, so the electrical gradient tends to pull sodium into the cell. Second, consider the concentration gradient, the difference in distribution of ions across the membrane. Sodium is more concentrated outside than inside, so just by the laws of prob- ability, sodium is more likely to enter the cell than to leave it. Given that both the electrical gradient and the concentra- tion gradient tend to move sodium ions into the cell, sodium would enter rapidly if it could. However, because the sodium channels are closed when the membrane is at rest, almost no sodium flows except for what the sodium–potassium pump forces out of the cell.

Potassium is subject to competing forces. Potassium is positively charged and the inside of the cell is negatively charged, so the electrical gradient tends to pull potassium in. However, potassium is more concentrated inside the cell than outside, so the concentration gradient tends to drive it out. (For an analogy, imagine a number of women inside

Na+

Na+

Na+ would enter if its channel were open

Na+

Na+

Sodium–potassium pump

Distribution of Ions Movement of Ions

K+ K+ leaves cell because of

concentration gradient

K+ enters cell because of

electrical gradientK+

K+

Figure 1.15 The sodium and potassium gradients for a resting membrane Sodium ions are more concentrated outside the neuron, and potassium ions more concentrated inside. Protein and chloride ions (not shown) bear negative charges inside the cell. At rest, almost no sodium ions cross the membrane except by the sodium–potassium pump. Potassium tends to flow into the cell because of an electrical gradient but tends to flow out because of the concentration gradient. However, potassium gates retard the flow of potassium when the membrane is at rest.

08202_ch01_ptg01.indd 30 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 31

Now let’s apply a current to depolarize the neuron—that is, reduce its polarization toward zero. If we apply a small depo- larizing current, we get a result like this:

–70

–65

–60

Time

m V

With a slightly stronger depolarizing current, the potential rises slightly higher but again returns to the resting level as soon as the stimulation ceases:

–70

–65

–60

Time

m V

Now let’s apply a still stronger current: Stimulation beyond the threshold of excitation produces a massive depolarization of the membrane. When the potential reaches the threshold, the membrane opens its sodium channels and lets sodium ions flow into the cell. The potential shoots up far beyond the strength that the stimulus provided:

– 80

– 60

– 40

– 20

0

20

40

50

Time

m V

Any subthreshold stimulation produces a small response that quickly decays. Any stimulation beyond the threshold, regard- less of how far beyond, produces a big response like the one shown, known as the action potential. The peak of the action potential, shown as 130 mV in this illustration, varies from one axon to another.

Why a Resting Potential? The body invests much energy to operate the sodium–potas- sium pump, which maintains the resting potential. Why is it worth so much energy? The resting potential prepares the neuron to respond rapidly. As we shall see in the next section, excitation of the neuron opens channels that allow sodium to enter the cell rapidly. Because the membrane did its work in advance by maintaining the concentration gradient for so- dium, the cell is prepared to respond vigorously to a stimulus.

Compare the resting potential of a neuron to a poised bow and arrow: An archer who pulls the bow in advance is ready to fire at the appropriate moment. The neuron uses the same strategy. The resting potential remains stable until the neuron is stimulated. Ordinarily, stimulation of the neuron takes place at synapses, which we consider in Chapter 2. In the laboratory, it is also possible to stimulate a neuron by inserting an electrode into it and applying current.

The Action Potential Messages sent by axons are called action potentials. To un- derstand action potentials, let’s begin by considering what happens when the resting potential is disturbed. We can mea- sure a neuron’s potential with a microelectrode, as shown in Figure 1.13. When an axon’s membrane is at rest, the record- ings show a negative potential inside the axon. If we now use a different electrode to apply a negative charge, we can further increase the negative charge inside the neuron. The change is called hyperpolarization, which means increased polar- ization. When the stimulation ends, the charge returns to its original resting level. The recording looks like this:

– 100 Time

m V

– 80

– 60

– 40

– 20

0

STOP & CHECK 9. When the membrane is at rest, are the sodium ions more

concentrated inside the cell or outside? Where are the potassium ions more concentrated?

10. When the membrane is at rest, what tends to drive the potassium ions out of the cell? What tends to draw them into the cell?

ANSWERS

9. Sodium ions are more concentrated outside the cell, and potassium is more concentrated inside. 10. When the membrane is at rest, the concentration gradient tends to drive potassium ions out of the cell, and the electrical gradient draws them into the cell. The sodium–potassium pump also draws them into the cell.

ANSWERS

11. A hyperpolarization is an exaggeration of the usual negative charge within a cell, to a more negative level than usual. A depolarization is a decrease in the amount of nega- tive charge within the cell. 12. If the depolarization reaches or passes the threshold, the cell produces an action poten- tial. If it is less than threshold, no action potential arises.

STOP & CHECK 11. What is the difference between a hyperpolarization and a

depolarization? 12. What happens if the depolarization does or does not reach

the threshold?

08202_ch01_ptg01.indd 31 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

32 CHAPTER 1 Nerve Cells and Nerve Impulses

The Molecular Basis of the Action Potential The chemical events behind the action potential may seem complex, but they make sense if you remember three principles:

1. At the start, sodium ions are mostly outside the neuron, and potassium ions are mostly inside.

2. When the membrane is depolarized, sodium and potas- sium channels in the membrane open.

3. At the peak of the action potential, the sodium channels close.

A neuron’s membrane contains cylindrical proteins, like the ones in Figure 1.12. Opening one of these proteins allows a particular type of ion to cross the membrane. (Which ion crosses depends on the size and shape of the opening.) A pro- tein that allows sodium to cross is called a sodium channel (or gate), and one that allows potassium to cross is a potassium channel. The axon channels regulating sodium and potas- sium are voltage-gated channels. That is, their permeabil- ity depends on the voltage difference across the membrane. At the resting potential, the sodium channels are fully closed and the potassium channels are almost closed, allowing only a little flow of potassium. As the membrane becomes depo- larized, both the sodium and the potassium channels begin to open, allowing freer flow. At first, opening the potassium channels makes little difference, because the concentration gradient and electrical gradient are almost in balance anyway. However, opening the sodium channels makes a big differ- ence, because both the electrical gradient and the concentra- tion gradient tend to drive sodium ions into the neuron. When the depolarization reaches the threshold of the membrane, the sodium channels open wide enough for sodium to flow freely. Driven by both the concentration gradient and the electrical gradient, the sodium ions enter the cell rapidly, until the elec- trical potential across the membrane passes beyond zero to a reversed polarity, as shown in the following diagram:

Time

m V

– 80

– 60

– 40

– 20

0

20

40

60

Reversed polarity

Of the total number of sodium ions near the axon, less than 1 percent cross the membrane during an action potential. Even at the peak of the action potential, sodium ions continue to be far more concentrated outside the neuron than inside. Because of the persisting concentration gradient, sodium ions still tend to diffuse into the cell. However, at the peak of the action potential, the sodium gates snap shut.

The All-or-None Law Note that any depolarization that reaches or passes the threshold produces an action potential. For a given neuron, all action potentials are approximately equal in amplitude (intensity) and velocity. That is, the intensity of the stimu- lus cannot cause a neuron to produce a bigger or smaller action potential, or a faster or slower one. (Slight variations can occur at random, but not because of the stimulus.) More properly stated, the all-or-none law is that the am- plitude and velocity of an action potential are independent of the intensity of the stimulus that initiated it, provided that the stimulus reaches the threshold. By analogy, imag- ine flushing a toilet: You have to make a press of at least a certain strength (the threshold), but pressing harder does not make the toilet flush faster or more vigorously. Simi- larly, when you flick the switch to turn on the lights in your room, flicking the switch harder would not make the lights brighter.

Although the amplitude, velocity, and shape of action po- tentials are consistent over time for a given axon, they vary from one neuron to another. Thicker axons convey action po- tentials at greater velocities. Thicker axons can also convey more action potentials per second.

The all-or-none law puts constraints on how an axon can send a message. To signal the difference between a weak stimulus and a strong stimulus, the axon cannot send bigger or faster action potentials. All it can change is the timing. By analogy, you might send signals to someone by flashing the lights in your room on and off, varying the speed or rhythm of flashing.

Flash-flash . . . [long pause] . . . flash-flash

might mean something different from

Flash . . . [pause] . . . flash . . . [pause] . . . flash . . . [pause] . . . flash.

The nervous system uses both kinds of coding. For example, a taste axon shows one rhythm of responses for sweet tastes and a different rhythm for bitter tastes (Di Lorenzo, Leshchinskiy, Moroney, & Ozdoba, 2009).

STOP & CHECK 13. State the all-or-none law. 14. Does the all-or-none law apply to dendrites? Why or why

not?

ANSWERS

13. According to the all-or-none law, the size and shape of the action potential are independent of the intensity of the stimulus that initiated it. That is, every depolarization beyond the threshold of excitation produces an action potential of about the same amplitude and velocity for a given axon. 14. The all-or-none law does not apply to dendrites, because they do not have action potentials.

08202_ch01_ptg01.indd 32 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 33

original distribution of ions, but that process takes time. After an unusually rapid series of action potentials, the pump can- not keep up with the action, and sodium accumulates within the axon. Excessive buildup of sodium can be toxic to a cell. (Excessive stimulation occurs only under abnormal condi- tions, however, such as during a stroke or after the use of cer- tain drugs. Don’t worry that thinking too hard will explode your brain cells!)

Action potentials require the flow of sodium and potas- sium. Local anesthetic drugs, such as Novocain and Xylocaine, attach to the sodium channels of the membrane, preventing sodium ions from entering. When a dentist administers Novo- cain before drilling into one of your teeth, your receptors are screaming, “pain, pain, pain!” but the axons cannot transmit the message to your brain, and so you don’t feel it.

Then what happens? Remember that depolarizing the membrane also opens potassium channels. At first, opening those channels made little difference. However, after so many sodium ions have crossed the membrane, the inside of the cell has a slight positive charge instead of its usual negative charge. At this point both the concentration gradient and the elec- trical gradient drive potassium ions out of the cell. As they flow out of the axon, they carry with them a positive charge. Because the potassium channels remain open after the so- dium channels close, enough potassium ions leave to drive the membrane beyond its usual resting level to a temporary hy- perpolarization. Figure 1.16 summarizes the key movements of ions during an action potential.

At the end of this process, the membrane has returned to its resting potential, but the inside of the neuron has slightly more sodium ions and slightly fewer potassium ions than be- fore. Eventually, the sodium–potassium pump restores the

–70

–60

–50

–40

–30

+30

–20

–10

0

Resulting electrical potential

1 ms

El ec

tr ic

al p

o te

n ti

al (

in m

V )

+10

+20

+40

+50

1 ms

Rate of entry of sodium into neuron

Rate of exit of potassium from neuron

Time

Time

Figure 1.16 The movement of sodium and potassium ions during an action potential Sodium ions cross during the peak of the action potential, and potassium ions cross later in the opposite direction, returning the membrane to its original polarization.

STOP & CHECK 15. During the rise of the action potential, do sodium ions move

into the cell or out of it? Why? 16. As the membrane reaches the peak of the action potential,

what brings the membrane down to the original resting potential?

ANSWERS

15. During the action potential, sodium ions move into the cell. The voltage-dependent sodium gates have opened, so sodium can move freely. Sodium is attracted to the inside of the cell by both an electrical and a concentration gradient. 16. After the peak of the action potential, potassium ions exit the cell, driving the mem- brane back to the resting potential. Important note: The sodium–potassium pump is NOT responsible for return- ing the membrane to its resting potential. The sodium– potassium pump is too slow for this purpose.

Propagation of the Action Potential Up to this point, we have considered how the action potential occurs at one point on the axon. Now let us consider how it moves down the axon. Remember, it is important for axons to convey impulses without any loss of strength over distance.

During an action potential, sodium ions enter a point on the axon. Temporarily, that spot is positively charged in com- parison with neighboring areas along the axon. The positive ions flow within the axon to neighboring regions. The posi- tive charges slightly depolarize the next area of the membrane, causing it to reach its threshold and open its voltage-gated so- dium channels. Then the membrane regenerates the action potential at that point. In this manner, the action potential travels along the axon, as in Figure 1.17.

The term propagation of the action potential describes the transmission of an action potential down an axon. The propagation of an animal species is the production of off- spring. In a sense, the action potential gives birth to a new action potential at each point along the axon.

08202_ch01_ptg01.indd 33 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

34 CHAPTER 1 Nerve Cells and Nerve Impulses

potential back-propagates into a dendrite, the dendrite be- comes more susceptible to the structural changes responsible for learning.

Let’s review the action potential:

●● When an area of the axon membrane reaches its threshold of excitation, sodium channels and potassium channels open.

An action potential always starts in an axon and propa- gates without loss from start to finish. However, at its start, it “back-propagates” into the cell body and dendrites (Lorincz & Nusser, 2010). The cell body and dendrites do not conduct action potentials in the same way that axons do, but they pas- sively register the electrical event that started in the nearby axon. This back-propagation is important: When an action

K+

Na+

Direction of action potential

Direction of action potential

Direction of action potential

Stimulus

+

+

+

Figure 1.17 Propagation of an action potential As an action potential occurs at one point on the axon, enough sodium enters to depolarize the next point to its threshold, producing an action potential at that point. In this manner the action potential flows along the axon, remaining at equal strength throughout. Behind each area of sodium entry, potassium ions exit, restoring the resting potential.

08202_ch01_ptg01.indd 34 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 35

●● At first, the opening of potassium channels produces little effect.

●● Opening sodium channels lets sodium ions rush into the axon.

●● Positive charge flows down the axon and opens voltage- gated sodium channels at the next point.

●● At the peak of the action potential, the sodium gates snap shut. They remain closed for the next millisecond or so, despite the depolarization of the membrane.

●● Because voltage-gated potassium channels remain open, potassium ions flow out of the axon, returning the mem- brane toward its original depolarization.

●● A few milliseconds later, the voltage-dependent potas- sium channels close.

All of this may seem like a lot to memorize, but it is not. Everything follows logically from the facts that voltage-gated sodium and potassium channels open when the membrane is depolarized and that sodium channels snap shut at the peak of the action potential.

The Myelin Sheath and Saltatory Conduction In the thinnest axons, action potentials travel at a velocity of less than 1 meter/second. Increasing the diameter brings conduction velocity up to about 10 m/s. At that speed, an im- pulse along an axon between a giraffe’s spinal cord and its foot takes about half a second. To increase the speed still more, vertebrate axons evolved a special mechanism: sheaths of myelin, an insulating material composed of fats and proteins.

Consider the following analogy. Suppose your job is to take written messages over a long distance without using any mechanical device. Taking each message and running with it would be reliable but slow, like the propagation of an action potential along an unmyelinated axon. If you tied each mes- sage to a ball and threw it, you could increase the speed, but your throws would not travel far enough. The best solution would be to station people at moderate distances along the route and throw the message-bearing ball from person to per- son until it reaches its destination.

The same principle applies to myelinated axons, those covered with a myelin sheath. Myelinated axons, found only in vertebrates, are covered with layers of fats and proteins. The myelin sheath is interrupted periodically by short sections of axon called nodes of Ranvier, each one about 1 micrometer wide, as shown in Figure 1.18. In myelinated axons, the ac- tion potential starts at the first node of Ranvier (Kuba, Ishii, & Ohmari, 2006).

Suppose an action potential occurs at the first myelin seg- ment. The action potential cannot regenerate along the mem- brane between nodes because sodium channels are virtually absent between nodes (Catterall, 1984). After an action potential occurs at a node, sodium ions enter the axon and diffuse, push- ing a chain of positive charge along the axon to the next node, where they regenerate the action potential (see Figure 1.19).

Axon

Cutaway view of axon wrapped in myelin

Myelin sheath

Node of Ranvier

Axon

Figure 1.18 An axon surrounded by a myelin sheath and interrupted by nodes of Ranvier The inset shows a cross section through both the axon and the myelin sheath. The anatomy is distorted here to show several nodes; in fact, the distance between nodes is generally at least 100 times as long as a node.

Node of Ranvier

Local current flow

Na+

+ + +

+

+

+

+ –

– – –

+

+

– –

– – –

– – – –

– –

+ +

+ +

+ + +

+ +

+

– –

+ +

+ +

– – – –+

Na+

Na+

Na+

K+

Myelin Axon

(a)

(b)

Figure 1.19 Saltatory conduction in a myelinated axon An action potential at the node triggers flow of current to the next node, where the membrane regenerates the action potential. In reality, a myelin sheath is much longer than shown here, relative to the size of the nodes of Ranvier and to the diameter of the axon.

This flow of charge moves considerably faster than the regen- eration of an action potential at each point along the axon. The jumping of action potentials from node to node is referred to as saltatory conduction, from the Latin word saltare, meaning

08202_ch01_ptg01.indd 35 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

36 CHAPTER 1 Nerve Cells and Nerve Impulses

charge from flowing in the direction opposite that in which the action potential is traveling? Nothing. In fact, the electri- cal charge does flow in both directions. Then what prevents an action potential near the center of an axon from reinvading the areas that it has just passed? The answer is that the areas it just passed are still in their refractory period.

“to jump.” (The same root shows up in the word somersault.) In addition to providing rapid conduction of impulses, saltatory conduction conserves energy: Instead of admitting sodium ions at every point along the axon and then having to pump them out via the sodium–potassium pump, a myelinated axon admits sodium only at its nodes.

In multiple sclerosis, the immune system attacks myelin sheaths. An axon that never had a myelin sheath conducts im- pulses slowly but steadily, but an axon that has lost its myelin is not the same, because it lacks sodium channels where the myelin used to be (Waxman & Ritchie, 1985). Consequently, most action potentials die out between one node and the next. People with multiple sclerosis suffer a variety of impairments, ranging from visual impairments to poor muscle coordination.

STOP & CHECK 17. In a myelinated axon, how would the action potential be

affected if the nodes were much closer together? How might it be affected if the nodes were much farther apart?

ANSWER

17. If the nodes were closer, the action potential would travel more slowly. If they were much farther apart, the action potential would travel faster if it could success- fully jump from one node to the next. When the distance becomes too great, the current cannot diffuse from one node to the next and still remain above threshold, so the action potentials would stop.

The Refractory Period Consider the action potential while it is returning from its peak. At that point, the electrical potential across the mem- brane is still above the threshold. Why doesn’t the cell pro- duce another action potential during this period? (If it did, of course, it would endlessly repeat one action potential after another.) Remember, at the peak of the action poten- tial, the sodium gates snap shut. As a result, the cell is in a refractory period during which it resists the production of further action potentials. In the first part of this period, the absolute refractory period, the membrane cannot produce another action potential, regardless of the stimulation. During the second part, the relative refractory period, a stronger- than-usual stimulus is necessary to initiate an action poten- tial. The refractory period depends on two facts: The sodium channels are closed, and potassium is flowing out of the cell at a faster-than-usual rate.

In most of the neurons that researchers have tested, the absolute refractory period is about 1 millisecond (ms), and the relative refractory period is another 2 to 4 ms. (A toilet is simi- lar. During a short time right after you flush a toilet, you cannot make it flush again—an absolute refractory period. Then fol- lows a period when it is possible but difficult to flush it again—a relative refractory period—before it returns to normal.)

Let’s reexamine Figure 1.17 for a moment. As the action potential travels down the axon, what prevents the electrical

STOP & CHECK 18. Suppose researchers find that axon A can produce up to

1,000 action potentials per second (at least briefly, with maximum stimulation), but axon B can never produce more than 100 per second (regardless of the strength of the stimu- lus). What could we conclude about the refractory periods of the two axons?

ANSWER

18. Axon A must have a shorter absolute refractory period, about 1 ms, whereas B has a longer absolute refractory period, about 10 ms.

Local Neurons Axons produce action potentials. However, many small neu- rons have no axon. Neurons without an axon exchange infor- mation with only their closest neighbors. We therefore call them local neurons. Because they do not have an axon, they do not follow the all-or-none law. When a local neuron receives information from other neurons, it has a graded potential, a membrane potential that varies in magnitude in proportion to the intensity of the stimulus. The change in membrane poten- tial is conducted to adjacent areas of the cell, in all directions, gradually decaying as it travels. Those various areas of the cell contact other neurons, which they excite or inhibit.

Local neurons are difficult to study because it is almost impossible to insert an electrode into a tiny cell without dam- aging it. Most of our knowledge, therefore, has come from large neurons, and that bias in our research methods may have led to a misconception. Many years ago, all that neuroscien- tists knew about local neurons was that they were small. Given their focus on larger neurons, many scientists assumed that the small neurons were immature. As one textbook author put it, “Many of these [neurons] are small and apparently undevel- oped, as if they constituted a reserve stock not yet utilized in the individual’s cerebral activity” (Woodworth, 1934, p. 194). In other words, the small cells would contribute to behavior only if they grew.

Perhaps this misunderstanding was the origin of that widespread, nonsensical belief that “they say we use only 10 percent of our brain.” (Who are “they,” incidentally?) Other or- igins have also been suggested for this belief. No one is sure where it originated, but people have been quoting it to one another since the early 1900s. This belief has been remarka- bly persistent, given its total lack of justification. What does it mean? Does it mean that you could lose 90 percent of your brain and still behave normally? Good luck with that one.

08202_ch01_ptg01.indd 36 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 37

all your neurons at one time, you would not have brilliant thoughts; you would have an epileptic seizure. Any meaning- ful thought or activity requires activating some neurons and inhibiting others, and the inhibition is just as important as the excitation. You use all of your brain, regardless of whether you are using it well.

Perhaps it means that only 10 percent of your neurons are active at any given moment. Depending on how we define a “given moment,” 10 percent could be either an overestimate or an underestimate, but in any case irrelevant. If you could contract all your muscles at one time, you would not be a great athlete; you would just have spasms. If you could activate

Neurons and Messages

As you have been reading about action potentials and sodium gates and so forth, it probably seems that all this is remote from most issues in psychology. Well, you are right, but all these physiological mechanisms are the building blocks that we need to understand before delving into synapses, the connections

between neurons. Synapses are the decision makers of your brain, but the input into these decision makers is the on/off messages transmitting down axons. All of the glories of human experience originate in the simple chemical processes we have seen in this chapter.

Module 1.2 In Closing

Summary 1. The action potential transmits information without loss

of intensity over distance. The cost is a delay between the stimulus and its arrival in the brain. 28

2. The inside of a resting neuron has a negative charge with respect to the outside, mainly because of negatively charged proteins inside the neuron. The sodium–potas- sium pump moves sodium ions out of the neuron, and potassium ions in. 28

3. When the membrane is at rest, both the electrical gradi- ent and the concentration gradient would act to move sodium ions into the cell, except that its gates are closed. The electrical gradient tends to move potassium ions into the cell, but the concentration gradient tends to move it out. The two forces almost balance out, but not quite, leaving a net tendency for potassium to exit the cell. 29

4. The all-or-none law: For any stimulus greater than the threshold, the amplitude and velocity of the action potential are independent of the size of the stimulus that initiated it. 32

5. When the membrane is sufficiently depolarized to reach the cell’s threshold, sodium and potassium channels open. Sodium ions enter rapidly, reducing and reversing

the charge across the membrane. This event is known as the action potential. 32

6. After the peak of the action potential, the membrane returns toward its original level of polarization because of the outflow of potassium ions. 33

7. The action potential is regenerated at successive points along the axon as sodium ions flow through the core of the axon and stimulate the next point along the axon to its threshold. The action potential maintains a constant magnitude as it passes along the axon. 33

8. In axons that are covered with myelin, action potentials form only in the nodes that separate myelinated seg- ments. Transmission in myelinated axons is faster than in unmyelinated axons. 35

9. Immediately after an action potential, the membrane enters a refractory period during which it is resistant to starting another action potential. 36

10. Local neurons are small, with no axon. They convey information over short distances. 36

11. Contrary to a popular belief, people use all of their brain, not some smaller percentage. 36

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

absolute refractory period 36 action potential 31 all-or-none law 32 concentration gradient 30

depolarize 31 electrical gradient 28 graded potential 36 hyperpolarization 31

local anesthetic 33 local neurons 36 myelin 35 myelinated axons 35

08202_ch01_ptg01.indd 37 9/15/17 6:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

38 CHAPTER 1 Nerve Cells and Nerve Impulses

polarization 28 propagation of the action

potential 33 refractory period 36

relative refractory period 36 resting potential 29 saltatory conduction 35 selective permeability 29

sodium–potassium pump 29 threshold 31 voltage-gated channels 32

Module 1.2 End of Module Quiz

1. Suppose the threshold of a neuron were the same as the neuron’s resting potential. What would happen? At what frequency would the cell produce action potentials?

2. In the laboratory, researchers can apply an electrical stimulus at any point along the axon, making action potentials travel in both directions from the point of stimulation. An action potential moving in the usual direction, away from the axon hillock, is said to be

traveling in the orthodromic direction. An action potential traveling toward the axon hillock is traveling in the antidromic direction. If we started an ortho- dromic action potential at the start of the axon and an antidromic action potential at the opposite end of the axon, what would happen when they met at the center? Why?

3. If a drug partly blocks a membrane’s potassium chan- nels, how does it affect the action potential?

Thought Questions

1. When the neuron’s membrane is at rest, where are the sodium ions and potassium ions most concentrated? A. Sodium is mostly outside and potassium is mostly inside. B. Sodium is mostly inside and potassium is mostly

outside.

C. Both ions are mostly inside the cell. D. Both ions are mostly outside the cell.

2. When the membrane is at rest, what are the forces acting on sodium ions? A. Both the concentration gradient and the electrical

gradient tend to move sodium ions into the cell. B. Both the concentration gradient and the electrical

gradient tend to move sodium ions out of the cell.

C. The concentration gradient tends to move sodium ions into the cell, and the electrical gradient tends to move them out of the cell.

D. The concentration gradient tends to move sodium ions out of the cell, and the electrical gradient tends to move them into the cell.

3. When the membrane is at rest, what are the forces acting on potassium ions? A. Both the concentration gradient and the electrical

gradient tend to move potassium ions into the cell. B. Both the concentration gradient and the electrical

gradient tend to move potassium ions out of the cell.

C. The concentration gradient tends to move potassium ions into the cell, and the electrical gradient tends to move them out of the cell.

D. The concentration gradient tends to move potassium ions out of the cell, and the electrical gradient tends to move them into the cell.

4. Which direction does the sodium–potassium pump move ions? A. It moves both sodium and potassium ions into the

cell. B. It moves both sodium and potassium ions out of the

cell.

C. It moves sodium ions into the cell and potassium ions out of the cell.

D. It moves sodium ions out of the cell and potassium ions into the cell.

5. Under what conditions does an axon produce an action potential? A. Whenever the membrane is hyperpolarized B. Whenever the membrane’s potential reaches the

threshold

C. Whenever the membrane is depolarized D. Whenever the membrane’s potential reaches zero

08202_ch01_ptg01.indd 38 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1.2 The Nerve Impulse 39

6. If a membrane is depolarized to twice its threshold, what happens? A. The neuron produces an action potential at twice as

much strength as usual. B. The neuron produces an action potential that travels

twice as fast as usual.

C. The neuron produces an action potential slightly stronger and slightly faster than usual.

D. The neuron produces the same action potential it would at the threshold.

7. To which part or parts of a neuron does the all-or-none law apply? A. Axons B. Dendrites

C. Both axons and dendrites D. Neither axons nor dendrites

8. During the rising portion of the action potential, which ions are moving across the membrane and in which direction? A. Sodium ions move out. B. Sodium ions move in.

C. Both sodium and potassium ions move in. D. Potassium ions move in.

9. After the action potential reaches its peak, the potential across the membrane falls toward its resting level. What accounts for this recovery? A. The sodium–potassium pump removes the extra

sodium. B. Sodium ions move out because their channels are

open and the concentration gradient pushes them out.

C. Potassium ions move out because their channels are open and the concentration gradient pushes them out.

D. Potassium ions move in.

10. What does the myelin sheath of an axon accomplish? A. It enables an axon to communicate with other axons. B. It enables action potentials to travel both directions

along an axon.

C. It enables nutrients to enter the axon. D. It enables action potentials to travel more rapidly.

11. What causes the refractory period of an axon? A. The sodium–potassium pump becomes inactive. B. The sodium–potassium pump increases its activity.

C. The potassium channels are closed. D. The sodium channels are closed.

12. About what percentage of the brain does an average person use? A. 10 percent B. 30 percent

C. 50 percent D. 100 percent

Answers: 1A, 2A, 3D, 4D, 5B, 6D, 7A, 8B, 9C, 10D, 11D, 12D.

Ascoli, G. A. (2015). Trees of the brain, roots of the mind. Cambridge, MA: MIT Press. A richly illustrated

description of axons, dendrites, and what they have to do with psychology.

Suggestion for Further Reading

08202_ch01_ptg01.indd 39 9/14/17 12:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch02_ptg01.indd 40 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

41

If you had to communicate with someone without sight or sound, what would you do? Chances are, your first choice would be a touch code or a system of electrical impulses. You might not even think of passing chemicals back

and forth. Chemicals are, however, the main way your neurons communicate.

They communicate by transmitting chemicals at specialized junctions called

synapses.

Module 2.1

The Concept of the Synapse Properties of Synapses Relationship among EPSP, IPSP, and Action

Potentials In Closing: The Neuron as Decision Maker

Module 2.2

Chemical Events at the Synapse The Discovery of Chemical Transmission at

Synapses The Sequence of Chemical Events

at a Synapse Hormones In Closing: Neurotransmitters and Behavior

After studying this chapter, you should be able to:

1. Describe how Charles Sherrington used behavioral observations to infer the major properties of synapses.

2. Relate the activities at a synapse to the probability of an action potential.

3. List and explain the sequence of events at a synapse, from synthesis of neurotrans- mitters, through stimulation of receptors, to the disposition of the transmitter molecules.

4. Discuss how certain drugs affect behavior by altering events at synapses.

5. Contrast neurotransmitters, neuropep- tides, and hormones.

Chapter 2 Synapses

Chapter Outline

Learning Objectives

Opposite:

This electron micrograph, with color added artificially, shows branches of an axon making contact with other cells. (Eye of Science/Science Source)

08202_ch02_ptg01.indd 41 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

42

Module 1.1Module 2.1

The Concept of the Synapse

In the late 1800s, Ramón y Cajal anatomically demon-strated a narrow gap separating one neuron from another. In 1906, Charles Scott Sherrington physiologically demon- strated that communication between one neuron and the next differs from communication along a single axon. He inferred a specialized gap between neurons and introduced the term synapse to describe it. Cajal and Sherrington are regarded as the great pioneers of modern neuroscience, and their nearly simultaneous discoveries supported each other: If communication between neurons is special in some way, then there can be no doubt that neurons are anatomically

separate from one another. Sherrington’s discovery was an amazing feat of scientific reasoning, as he used behavioral observations to infer the major properties of synapses half a century before researchers had the technology to measure those properties directly.

Properties of Synapses Sherrington studied reflexes, automatic muscular responses to stimuli. In a leg flexion reflex, a sensory neuron excites a second neuron, which in turn excites a motor neuron, which

Sensory neuron

Brain neuron

Intrinsic neuron

Motor neuron Muscle

Skin

Axon branch to other neurons

Figure 2.1 A reflex arc for leg flexion The anatomy has been simplified to show the relationship among sensory neuron, intrinsic neuron, and motor neuron.

Charles Scott Sherrington (1857–1952) A rainbow every morning who would pause to look at? The wonderful which comes often or is plentifully about us is soon taken for granted. That is practical enough. It allows us to get on with life. But it may stultify if it cannot on occasion be thrown off. To recapture now and then child-

hood’s wonder is to secure a driving force for occasional grown-up thoughts. (Sherrington, 1941, p. 104)

Hu lto

n Ar

ch iv

e/ Ge

tty Im

ag es

excites a muscle, as in Figure 2.1. The circuit from sensory neuron to muscle response is called a reflex arc. If one neuron is sepa- rate from another, as Cajal had demonstrated, a reflex must re- quire communication between neurons, and therefore, measure- ments of reflexes might reveal some of the special properties of that communication.

Sherrington strapped a dog into a harness above the ground and pinched one of the dog’s feet. After a fraction of a sec- ond, the dog flexed (raised) the pinched leg and extended the other legs. Sherrington found the same reflexive movements

08202_ch02_ptg01.indd 42 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.1 The Concept of the Synapse 43

after he made a cut that disconnected the spinal cord from the brain. Evidently, the spinal cord controlled the flex- ion and extension reflexes. In fact, the movements were more consistent after he separated the spinal cord from the brain. In an intact animal, messages descending from the brain modify the reflexes, making them stronger at some times and weaker at others.

Sherrington observed several properties of reflexes that suggest special processes at the junctions between neurons: (1) Reflexes are slower than conduction along an axon. (2) Several weak stimuli presented at nearby places or times produce a stronger reflex than one stimulus alone does. (3) When one set of muscles becomes excited, a different set be- comes relaxed. Let’s consider each of these points and their implications.

Speed of a Reflex and Delayed Transmission at the Synapse When Sherrington pinched a dog’s foot, the dog flexed that leg after a short delay. During that delay, an impulse had to travel up an axon from the skin receptor to the spinal cord, and then an impulse had to travel from the spinal cord back down the leg to a muscle. Sherrington measured the total distance that the impulse traveled from skin receptor to spi- nal cord to muscle and calculated the speed at which the impulse traveled to produce the response. He found that the speed of conduction through the reflex arc varied but was never more than about 15 meters per second (m/s). In contrast, previous research had measured action potential velocities along sensory or motor nerves at about 40 m/s. Sherrington concluded that some process must be slowing conduction through the reflex, and he inferred that the de- lay occurs where one neuron communicates with another (see Figure 2.2). This idea is critical, as it established the existence of synapses. Sherrington, in fact, introduced the term synapse.

Temporal Summation Sherrington found that repeated stimuli within a brief time have a cumulative effect. He referred to this phenomenon as temporal summation, meaning summation over time. A light pinch of the dog’s foot did not evoke a reflex, but a few rapidly repeated pinches did. Sherrington surmised that a single pinch did not reach the threshold of excitation for the next neuron. The neuron that delivers transmission is the presynaptic neuron, and the one that receives it is the postsynaptic neuron. Sher- rington proposed that although the subthreshold excitation in the postsynaptic neuron decays over time, it can combine with a second excitation that follows it quickly. With a rapid succes- sion of pinches, each adds its effect to what remained from the previous ones, until the combination exceeds the threshold of the postsynaptic neuron, producing an action potential.

Decades later, Sherrington’s former student, John Eccles (1964), attached microelectrodes to stimulate axons of pre- synaptic neurons while he recorded from the postsynaptic neuron. For example, after he had briefly stimulated an axon, Eccles recorded a slight depolarization of the membrane of the postsynaptic cell (point 1 in Figure 2.3).

Note that this partial depolarization is a graded potential. Unlike action potentials, which are always depolarizations, graded potentials may be either depolarizations (excitatory) or hyperpolarizations (inhibitory). A graded depolarization is known as an excitatory postsynaptic potential (EPSP). It results from a flow of sodium ions into the neuron. If an EPSP does not cause the cell to reach its threshold, the depolariza- tion decays quickly.

When Eccles stimulated an axon twice, he recorded two EPSPs. If the delay between EPSPs was short enough, the sec- ond EPSP added to what was left of the first one (point 2 in Figure 2.3), producing temporal summation. At point 3 in Figure 3.3, a quick sequence of EPSPs combines to exceed the threshold and produce an action potential.

Spatial Summation Sherrington also found that synapses have the property of spatial summation—that is, summation over space. Synap- tic inputs from separate locations combine their effects on a neuron. Sherrington again began with a pinch too weak to elicit a reflex. This time, instead of pinching one point twice, he pinched two points at once. Although neither pinch alone

The speed of conduction through a re�ex arc is slower and more variable, sometimes 15 m/s or less. Presumably, the delay occurs at the synapse.

A B

The speed of conduction along an axon is about 40 m/s.

C ED

Figure 2.2 Sherrington’s evidence for synaptic delay An impulse traveling through a synapse in the spinal cord is slower than one traveling a similar distance along an uninterrupted axon.

STOP & CHECK 1. What evidence led Sherrington to conclude that transmission

at a synapse is not the same as transmission along an axon?

ANSWER

1. Sherrington found that the velocity of conduction through a reflex arc was slower than the velocity of an action potential along an axon. Therefore, some delay must occur at the junction between one neuron and the next.

08202_ch02_ptg01.indd 43 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

44 CHAPTER 2 Synapses

produced a reflex, together they did. Sherrington concluded that pinching two points activated separate sensory neu- rons, whose axons converged onto one neuron in the spinal cord. Excitation from either sensory axon excited that spinal neuron, but not enough to reach the threshold. A combina- tion of excitations exceeded the threshold and produced an action potential (point 4 in Figure 2.3). Again, Eccles con- firmed Sherrington’s inference, demonstrating that EPSPs from several axons summate their effects on a postsynaptic cell (see Figure 2.4).

Spatial summation is critical to brain functioning. In most cases, sensory input at a single synapse produces only a weak effect. However, if a neuron receives many incoming axons with synchronized input, spatial summation excites the neuron enough to activate it.

Temporal summation and spatial summation ordinarily occur together. That is, a neuron might receive input from several axons in close succession. Integrating these inputs pro- vides complexity. As Figure 2.5 shows, a series of axons active in one order can have a different result from the same axons

+30

–50 –55 –60 –65 –70E

le ct

ri ca

l p o

te n

ti al

a cr

o ss

m em

b ra

n e

(m ill

iv o

lt s)

1. EPSP Temporal summation of 2 EPSPs

2. 3 EPSPs combine to exceed threshold

3. Simultaneous EPSPs combine spatially to exceed threshold

4. Resting potential

Threshold

IPSP5.

Time

Figure 2.3 Recordings from a postsynaptic neuron during synaptic activation

Figure 2.4 Temporal and spatial summation

Spatial summation (impulses from several neurons at the same time)

Temporal summation (several impulses from one neuron over time)

Action potential travels along axon

08202_ch02_ptg01.indd 44 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.1 The Concept of the Synapse 45

in a different order. For example, a neuron in the visual system could respond to light moving in one direction and not an- other (Branco, Clark, & Häusser, 2010).

cell. That is, it increases the negative charge within the cell, moving it farther from the threshold and decreasing the probability of an action potential (point 5 in Figure 2.3). This temporary hyperpolarization of a membrane—called an inhibitory postsynaptic potential (IPSP)—resembles an EPSP. An IPSP occurs when synaptic input selectively opens the gates for potassium ions to leave the cell (carrying a posi- tive charge with them) or for chloride ions to enter the cell (carrying a negative charge).

Today, we take for granted the concept of inhibition, but at Sherrington’s time, the idea was controversial, as no one could imagine a mechanism to accomplish it. Establishing the idea of inhibition was critical not just for neuroscience but for psychology as well. Whenever we talk about inhib- iting an impulse, we use a concept first demonstrated by Sherrington.

Summation in this direction produces greater depolarization.

Summation in this direction produces less depolarization.

First

Second

Third

Fourth

Fourth

Third

Second

First

Axon

Axon

Dendrite

STOP & CHECK 2. What is the difference between temporal summation and

spatial summation?

ANSWER

2. Temporal summation is the combined effect of quickly repeated stimulation at a single synapse. Spatial summation is the combined effect of several nearly simultaneous stimulations at several synapses onto one neuron.

Inhibitory Synapses When Sherrington vigorously pinched a dog’s foot, the flexor muscles of that leg contracted, and so did the exten- sor muscles of the other three legs (see Figure 2.6). You can see how this arrangement would be useful. A dog raising one leg needs to extend the other legs to maintain balance. At the same time, the dog relaxed the extensor muscles of the stimulated leg and the flexor muscles of the other legs. Sher- rington’s explanation assumed certain connections in the spinal cord: A pinch on the foot sends a message along a sen- sory neuron to an interneuron (an intermediate neuron) that excites the motor neurons connected to the flexor muscles of that leg and the extensor muscles of the other legs (see Figure 2.7). Also, the interneuron sends messages to inhibit the extensor muscles in that leg and the flexor muscles of the three other legs.

Later researchers physiologically demonstrated the in- hibitory synapses that Sherrington had inferred. At these synapses, input from an axon hyperpolarizes the postsynaptic

Extensor muscles contractFlexor muscles contract

Figure 2.6 Antagonistic muscles Flexor muscles draw an extremity toward the trunk of the body, whereas extensor muscles move an extremity away from the body.

Figure 2.5 Summation effects can depend on the order of stimuli.

08202_ch02_ptg01.indd 45 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

46 CHAPTER 2 Synapses

Relationship among EPSP, IPSP, and Action Potentials Sherrington’s work opened the way to exploring the wir- ing diagram of the nervous system. Consider the neurons shown in Figure 2.8. When neuron 1 excites neuron 3, it also excites neuron 2, which inhibits neuron 3. The excitatory message reaches neuron 3 faster because it goes through just one synapse instead of two. The result is a burst of excitation (EPSP) in neuron 3, which quickly slows or stops. You see how inhibitory messages can regulate the timing of activity.

To see how the wiring diagram in the nervous system con- trols the outcome, consider Figure 2.9. The axon from either cell A or cell B stimulates cell X with 11 unit. If the threshold of cell X is 11, then cell X responds to “A or B.” If the threshold

Sensory neuron

Brain neuron

Intrinsic neuron

Excitatory synapse

Excitatory synapse

Motor neuron axon to flexor muscle

Motor neuron axon to extensor muscle

Muscle

Skin

Excitatory synapse

Inhibitory synapse

Figure 2.7 What Sherrington inferred about inhibitory synapses When a flexor muscle is excited, input to the extensor muscle is inhibited. Sherrington inferred that the interneuron that excited a motor neuron to the flexor muscle also inhibited a motor neuron connected to the extensor muscle. Not shown here are the connections to motor neurons controlling the other three legs.

STOP & CHECK 3. What was Sherrington’s evidence for inhibition in the nervous

system? 4. What ion gates in the membrane open during an EPSP? What

gates open during an IPSP? 5. Can an inhibitory message flow along an axon?

ANSWERS

3. Sherrington found that a reflex that stimulates a flexor muscle prevents contraction of the extensor muscles of the same limb. He therefore inferred that an inter- neuron that excited motor neurons connected to the flexor muscle also inhibited the input to the extensor muscle. 4. During an EPSP, sodium gates open. During an IPSP, potassium or chloride gates open. 5. No. Only action potentials propagate along an axon. Inhibitory messages—IPSPs—decay over time and distance.

08202_ch02_ptg01.indd 46 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.1 The Concept of the Synapse 47

have discovered complexities that Sherrington did not an- ticipate. Some synapses produce fast, brief effects, and oth- ers produce slow, long-lasting effects. In many cases, the effect of two synapses at the same time can be more than double the effect of either one, or less than double (Silver, 2010). Certain combinations of synapses summate with one another more strongly than others do (Lavzin, Rapoport, Polsky, Garion, & Schiller, 2012). Also, the strength of a synapse can vary from one time to another. The nervous system is indeed complex.

Most neurons have a spontaneous firing rate, a periodic production of action potentials even without synaptic input. In such cases, the EPSPs increase the frequency of action po- tentials above the spontaneous rate, whereas IPSPs decrease it. For example, if the neuron’s spontaneous firing rate is 10 action potentials per second, a stream of EPSPs might in- crease the rate to 15 or more, whereas a preponderance of IPSPs might decrease it to 5 or fewer.

Dendrite Axon

1

2

3

Axon

Axon

Figure 2.8 A possible wiring diagram for synapses Excitatory synapses are in green, and inhibitory synapses in red. In the circuit shown here, excitation reaches the dendrite before inhibition. (Remember, any transmission through a synapse produces a delay.) The result is brief excitation of the dendrite. (Source: Based on Kullmann & Lamsa, 2007)

11 11

A B

X

Figure 2.9 A simple wiring diagram for three neurons Depending on whether the threshold for cell X is 1 or 2, it responds to “A or B” or it responds to “A and B.”

is 12, then cell X responds to “A and B.” With a little effort you can imagine other constructions.

Many mathematical models of the nervous system are based on connections like these. However, researchers

The Neuron as Decision Maker

Transmission along an axon merely sends information from one place to another. Synapses determine whether to send the mes- sage. The EPSPs and IPSPs reaching a neuron at a given moment compete with one another, and the net result is a complicated, not exactly algebraic summation of their effects. We could

regard the summation of EPSPs and IPSPs as a decision because it determines whether or not the postsynaptic cell fires an action potential. However, do not imagine that any single neu- ron decides what you will eat for breakfast. Complex behaviors depend on the contributions from a huge network of neurons.

Module 2.1 In Closing

Summary 1. The synapse is the point of communication between two

neurons. Charles S. Sherrington’s observations of reflexes enabled him to infer the existence of synapses and many of their properties. 42

2. Because transmission through a reflex arc is slower than transmission through an equivalent length of axon, Sher- rington concluded that some process at the synapses delays transmission. 43

08202_ch02_ptg01.indd 47 9/14/17 12:21 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

48 CHAPTER 2 Synapses48 CHAPTER 2 Synapses

3. Graded potentials (EPSPs and IPSPs) summate their effects. The summation of graded potentials from stimuli at different times is temporal summation. The sum- mation of potentials from different locations is spatial summation. 43

4. Inhibition is more than just the absence of excitation. It is an active brake that suppresses excitation. For effective functioning of the nervous system, inhibition is just as important as excitation. 45

5. Stimulation at a synapse produces a brief graded potential in the postsynaptic cell. An excitatory graded potential (depolarization) is an EPSP. An inhibitory graded poten- tial (hyperpolarization) is an IPSP. An EPSP occurs when gates open to allow sodium to enter the neuron’s mem- brane. An IPSP occurs when gates open to allow potas- sium to leave or chloride to enter. 43, 45

6. The EPSPs on a neuron compete with the IPSPs; the bal- ance between the two increases or decreases the neuron’s frequency of action potentials. 46

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

excitatory postsynaptic potential (EPSP) 43

inhibitory postsynaptic potential (IPSP) 45

postsynaptic neuron 43 presynaptic neuron 43 reflex arc 42 reflexes 42

spatial summation 43 spontaneous firing rate 47 synapse 42 temporal summation 43

1. When Sherrington measured the reaction time of a reflex (i.e., the delay between stimulus and response), he found that the response occurred faster after a strong stimulus than after a weak one. Can you explain this finding? Remember that all action potentials— whether produced by strong or weak stimuli—travel at the same speed along a given axon.

2. Suppose neuron X has a synapse onto neuron Y, which has a synapse onto Z. Presume that no other neurons or synapses are present. An experimenter finds that stimulating neuron X causes an action potential in neuron Z after a short delay. However, she determines

that the synapse of X onto Y is inhibitory. Explain how the stimulation of X might produce excitation of Z.

3. Figure 2.9 shows synaptic connections to produce a cell that responds to “A or B” or “A and B.” Construct a diagram for a cell that responds to “A and B if not C.”

4. Construct a wiring diagram for a cell that responds to “A or B if not C.” This is trickier than it sounds. If you simply shift the threshold of cell X to 1, it will respond to “A if not C, or B if not C, or A and B even if C.” Can you get X to respond to either A or B, but only if C is inactive? (Hint: You might need to introduce more than just cells A, B, and C.)

Thought Questions

Module 2.1 End of Module Quiz

1. How well did Sherrington’s inferences about synapses harmonize with Cajal’s conclusions about the anatomy of neurons? A. The two conclusions supported each other. B. Sherrington’s conclusions were incompatible with

Cajal’s conclusions.

C. The two conclusions were irrelevant to each other.

2. Sherrington based his conclusions on what type of evidence? A. Microscopic examination of synapses B. Results of injecting drugs into the spinal cord

C. Electrical recordings from inside neurons D. Observations of reflexive responses

3. Although one pinch did not cause a dog to flex its leg, a rapid sequence of pinches did. Sherrington cited this observation as evidence for what? A. Temporal summation B. Spatial summation

C. Inhibitory synapses D. Refractory period

08202_ch02_ptg01.indd 48 9/15/17 8:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.1 The Concept of the Synapse 492.1 The Concept of the Synapse 49

4. Although one pinch did not cause a dog to flex its leg, several simultaneous pinches at nearby locations did. Sherrington cited this observation as evidence for what? A. Temporal summation B. Spatial summation

C. Inhibitory synapses D. Refractory period

5. According to Sherrington, why do the extensor muscles of a leg relax when the flexor muscles contract? A. Voluntary control by the cerebral cortex B. Inhibitory connections in the spinal cord

C. Direct connections between the muscles themselves D. Control by different chemical neurotransmitters

6. In the membrane of a neuron, what happens during an IPSP? A. All the ion gates in the membrane close. B. The sodium gates open.

C. The potassium or chloride gates open. D. All the ion gates in the membrane open.

7. In what way were Sherrington’s conclusions important for psychology as well as neuroscience? A. He demonstrated the importance of unconscious

motivations. B. He demonstrated the importance of inhibition.

C. He demonstrated the phenomenon of classical conditioning.

D. He demonstrated the evolution of intelligence.

Answers: 1A, 2D, 3A, 4B, 5B, 6C, 7B.

08202_ch02_ptg01.indd 49 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

50

A lthough Charles Sherrington accurately inferred many properties of the synapse, he was wrong about one impor- tant point: Although he knew that synaptic transmission was slower than transmission along an axon, he thought it was still too fast to depend on a chemical process, and he therefore concluded that it must be electrical. We now know that the great majority of synapses rely on chemical processes, which are much faster and more versatile than Sherrington or any- one else of his era would have guessed. Over the years, our concept of activity at synapses has grown in many ways.

The Discovery of Chemical Transmission at Synapses A set of nerves called the sympathetic nervous system accel- erates the heartbeat, relaxes the stomach muscles, dilates the pupils of the eyes, and regulates other organs. T. R. Elliott, a young British scientist, reported in 1905 that applying the hor- mone adrenaline directly to the surface of the heart, the stom- ach, or the pupils produces the same effects as those of the sympathetic nervous system. Elliott therefore suggested that the sympathetic nerves stimulate muscles by releasing adrena- line or a similar chemical.

However, this evidence was not decisive. Possibly adrena- line just mimicked effects that are ordinarily electrical in na- ture. At the time, Sherrington’s prestige was so great that most scientists ignored Elliott’s results and continued to assume that synapses transmitted electrical impulses. Otto Loewi, a German physiologist, liked the idea of chemical synapses but did not see how to demonstrate it more conclusively. In 1920, he awakened one night with an idea about what research to do. He wrote himself a note and went back to sleep. Unfortunately, the next morning he could not read his note! The following night he awoke at 3 a.m. with the same idea, rushed to the laboratory, and performed the experiment.

Loewi repeatedly stimulated the vagus nerve, thereby decreasing a frog’s heart rate. He then collected fluid from around that heart, transferred it to a second frog’s heart, and found that the second heart also decreased its rate of beat- ing, as shown in Figure 2.10. Then Loewi stimulated the accel- erator nerve to the first frog’s heart, increasing the heart rate.

Module 2.2

Chemical Events at the Synapse

When he collected fluid from that heart and transferred it to the second frog’s heart, its heart rate increased. That is, stimu- lating one nerve released something that inhibited heart rate, and stimulating a different nerve released something that in- creased heart rate. He knew he was collecting and transferring chemicals, not loose electricity. Therefore, Loewi concluded, nerves send messages by releasing chemicals.

Loewi later remarked that if he had thought of this ex- periment in the light of day, he probably would have dismissed it as unrealistic (Loewi, 1960). Even if synapses did release chemicals, his daytime reasoning went, they probably did not release much. Fortunately, by the time he realized that the ex- periment should not work, he had already completed it, and it did work. It earned him a Nobel Prize.

Despite Loewi’s work, most researchers over the next three decades continued to believe that most synapses were electrical and that chemical synapses were the exception. Fi- nally, in the 1950s, researchers established that chemical trans- mission predominates throughout the nervous system. That discovery revolutionized our understanding and encouraged

Vagus nerve

Stimulator

Heart rate

Without stimulation

With stimulation

Fluid transfer

Figure 2.10 Loewi’s experiment demonstrating that nerves send messages by releasing chemicals Loewi stimulated the vagus nerve to one frog’s heart, decreasing the heart- beat. When he transferred fluid from that heart to another frog’s heart, he observed a decrease in its heartbeat.

08202_ch02_ptg01.indd 50 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 51

1. The neuron synthesizes chemicals that serve as neu- rotransmitters. It synthesizes the smaller neurotransmit- ters in the axon terminals and synthesizes neuropeptides in the cell body.

2. Action potentials travel down the axon. At the presynap- tic terminal, an action potential enables calcium to enter the cell. Calcium releases neurotransmitters from the terminals and into the synaptic cleft, the space between the presynaptic and postsynaptic neurons.

3. The released molecules diffuse across the narrow cleft, attach to receptors, and alter the activity of the postsynap- tic neuron. Mechanisms vary for altering that activity.

4. The neurotransmitter molecules separate from their receptors.

5. The neurotransmitter molecules may be taken back into the presynaptic neuron for recycling or they may diffuse away.

6. Some postsynaptic cells send reverse messages to control the further release of neurotransmitter by presynaptic cells.

Figure 2.11 summarizes these steps. Let’s now consider each step in more detail. As we do, we shall also consider drugs that affect certain steps in this process. Nearly all drugs that affect behavior or experience do so by altering synaptic transmission.

STOP & CHECK 6. What was Loewi’s evidence that neurotransmission depends

on the release of chemicals?

ANSWER

6. When Loewi stimulated a nerve that increased or decreased a frog’s heart rate, he could withdraw fluid from the area around the heart, transfer it to another frog’s heart, and thereby increase or decrease its rate also.

The Sequence of Chemical Events at a Synapse Understanding the chemical events at a synapse is fundamen- tal to understanding the nervous system. Every year, research- ers discover more and more details about synapses, their structure, and how those structures relate to function. Here are the major events:

Figure 2.11 Some major events in transmission at a synapse The structure shown in green is an astrocyte that shields the synapse from outside chemicals. The astrocyte also exchanges chemicals with the two neurons.

Neurotransmitter binds to receptor

Postsynaptic neuron

Synaptic cleft

Presynaptic terminal

Vesicle

Glia cell

Transporter protein

Synthesis of smaller neurotransmitters such as acetylcholine

1

Action potential causes calcium to enter, releasing neurotransmitter

2

5

Reuptake of neuro- transmitter by transporter protein

5

Negative feedback sites respond to retrograde transmitter or to presynaptic cell’s own transmitter

7

Postsynaptic cell releases retrograde transmitters that slow further release from presynaptic cell

6

6

Separation from receptors

4

3

7

research that developed drugs for psychiatric uses (Carlsson, 2001). A small number of electrical synapses do exist, how- ever, as discussed later in this module.

08202_ch02_ptg01.indd 51 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

52 CHAPTER 2 Synapses

Types of Neurotransmitters At a synapse, a neuron releases chemicals that affect another neuron. Those chemicals are known as neurotransmitters. A hundred or so chemicals are known or suspected to be neu- rotransmitters, as shown in Table 2.1 (Borodinsky et al., 2004). Ctenophores (see Figure 2.12), possibly representative of the earliest, most primitive animals, apparently have only one neurotransmitter, glutamate (Moroz et al., 2014). Most of the rest of the animal kingdom has all or nearly all of the same transmitters that humans have.

The oddest transmitter is nitric oxide (chemical formula NO), a gas released by many small local neurons. (Do not con- fuse nitric oxide, NO, with nitrous oxide, N2O, sometimes known as “laughing gas.”) Nitric oxide is poisonous in large quantities and difficult to make in a laboratory. Yet, many neurons contain an enzyme that enables them to make it efficiently. Many neu- rons release nitric oxide when they are stimulated. In addition to influencing other neurons, nitric oxide dilates the nearby blood vessels, thereby increasing blood flow to that brain area (Dawson, Gonzalez-Zulueta, Kusel, & Dawson, 1998).

Synthesis of Transmitters Neurons synthesize nearly all neurotransmitters from amino ac- ids, which the body obtains from proteins in the diet. Figure 2.13 illustrates the chemical steps in the synthesis of acetylcholine, serotonin, dopamine, epinephrine, and norepinephrine. Note the relationship among epinephrine, norepinephrine, and do- pamine—compounds known as catecholamines, because they contain a catechol group and an amine group, as shown here:

HO

C ––– (other)

C ––– (other)

NH2

OH

catechol

amine

Table 2.1 Neurotransmitters

Amino Acids glutamate, GABA, glycine, aspartate, maybe others

A Modified Amino Acid acetylcholine

Monoamines (also modified from amino acids)

indoleamines: serotonin catecholamines: dopamine, norepinephrine, epinephrine

Neuropeptides (chains of amino acids)

endorphins, substance P, neuropeptide Y, many others

Purines ATP, adenosine, maybe others

Gases NO (nitric oxide), maybe others

Figure 2.12 A ctenophore Ctenophores, otherwise known as comb jellies, have a simple nervous system with reportedly only one neurotransmitter, glutamate.

STOP & CHECK 7. Blood flow increases to the most active brain areas. How

does the blood “know” which areas are most active?

ANSWER

7. In a highly active brain area, many stimulated neurons release nitric oxide, which dilates the blood vessels in the area and thereby makes it easier for blood to flow to the area.

Each pathway in Figure 2.13 begins with substances found in the diet. Acetylcholine, for example, is synthesized from cho- line, which is abundant in milk, eggs, and peanuts. The amino acids phenylalanine and tyrosine, present in proteins, are pre- cursors of dopamine, norepinephrine, and epinephrine. People with phenylketonuria lack the enzyme that converts phenylala- nine to tyrosine. They can get tyrosine from their diet, but they need to minimize intake of phenylalanine, because excessive phenylalanine would accumulate and damage the brain.

The amino acid tryptophan, the precursor to serotonin, crosses the blood–brain barrier by a special transport system that it shares with other large amino acids. Your serotonin levels rise after you eat foods richer in tryptophan, such as soy, and fall after something low in tryptophan, such as maize (American corn). However, tryptophan has to compete with other, more abundant large amino acids, such as phenylala- nine, that share the same transport system, so increasing in- take of tryptophan is not the best way to increase serotonin. One way to increase tryptophan entry to the brain is to decrease consumption of phenylalanine. Another is to eat carbohydrates. Carbohydrates increase the release of the hor- mone insulin, which takes several competing amino acids out of the bloodstream and into body cells, thus decreasing the competition against tryptophan (Wurtman, 1985).

Al ex

an de

r S em

en ov

/S ci

en ce

S ou

rc e

08202_ch02_ptg01.indd 52 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 53

Several drugs act by altering the synthesis of transmitters. L-dopa, a precursor to dopamine, helps increase the supply of dopamine. It is a helpful treatment for people with Parkin- son’s disease. AMPT (alpha-methyl-para-tyrosine) temporar- ily blocks the production of dopamine. It has no therapeutic use, but researchers sometimes use it to study the functions of dopamine.

Storage of Transmitters Most neurotransmitters are synthe- sized in the presynaptic terminal, near the point of release. The presyn- aptic terminal stores high concentra- tions of neurotransmitter molecules in vesicles, tiny nearly spherical packets (see Figure 2.14). (Nitric ox- ide is an exception to this rule. Neu- rons release nitric oxide as soon as they form it instead of storing it.) The presynaptic terminal also maintains much neurotransmitter outside the vesicles.

Neurons that release serotonin, dopamine, or norepinephrine con- tain an enzyme, MAO (monoamine oxidase), that breaks down these transmitters into inactive chemicals, thereby preventing the transmit- ters to accumulate to harmful levels. The first antidepressant drugs that psychiatrists discovered were MAO inhibitors. By blocking MAO, they increase the brain’s supply of sero-

tonin, dopamine, and norepinephrine. However, MAO inhibi- tors also have other effects, and exactly how they help relieve depression is still not certain.

Release and Diffusion of Transmitters At the end of an axon, an action potential itself does not release the neurotransmitter. Rather, depolarization opens voltage- dependent calcium gates in the presynaptic terminal. Within 1 or 2 milliseconds (ms) after calcium enters the terminal, it causes exocytosis—bursts of release of neurotransmitter from the presynaptic neuron. An action potential often fails to release any transmitter, and even when it does, the amount varies (Craig & Boudin, 2001).

After its release from the presynaptic cell, the neurotrans- mitter diffuses across the synaptic cleft to the postsynaptic membrane, where it attaches to a receptor. The neurotransmit- ter takes no more than 0.01 ms to diffuse across the cleft, which is only 20 to 30 nanometers (nm) wide. Remember, Sherrington

Acetyl coenzyme A (from metabolism)

+

Choline (from metabolism or diet)

ACETYLCHOLINE

Phenylalanine (from diet)

Tyrosine

Dopa

Tryptophan (from diet)

5-hydroxytryptophan

SEROTONIN (5-hydroxytryptamine)

DOPAMINE

NOREPINEPHRINE

EPINEPHRINE

O

CH3C O CH2CH2N(CH3)3

CH2CH2NH2 HO

HO

HO N H

CH2CH2NH2

CHCH2NH2

OH

HO

HO

CHCH2NH CH3

OH

HO

HO

Figure 2.13 Pathways in the synthesis of acetylcholine, dopamine, norepinephrine, epinephrine, and serotonin Arrows represent chemical reactions.

STOP & CHECK 8. Name the three catecholamine neurotransmitters.

ANSWER 8. Epinephrine, norepinephrine, and dopamine. Do not confuse the term catecholamine with acetylcholine.

Figure 2.14 Anatomy of a synapse (a) An electron micrograph showing a synapse from the cerebellum of a mouse. The small round structures are vesicles. (b) Electron micrograph showing axon terminals onto the soma of a neuron.

Dr . D

en ni

s La

nd is

Om ik

ro n

-/ Ge

tty Im

ag es

(a) (b)

08202_ch02_ptg01.indd 53 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

54 CHAPTER 2 Synapses

did not believe chemical processes could be fast enough to ac- count for the activity at synapses. He did not imagine such a narrow gap through which chemicals could diffuse so quickly.

For many years, investigators believed that each neuron released just one neurotransmitter, but later researchers found that many, perhaps most, neurons release a combination of two or more transmitters at a time. Some neurons release two transmitters at the same time (Tritsch, Ding, & Sabatini, 2012), whereas some release one at first and another one slowly later (Borisovska, Bensen, Chong, & Westbrook, 2013). In some cases a neuron releases different transmitters from different branches of its axon (Nishimaru, Restrepo, Ryge, Yanagawa, & Kiehn, 2005). Sometimes a neuron changes its transmitter, for example releasing one transmitter in summer and a different one in winter (Spitzer, 2015). Presumably, the postsynaptic neuron changes its receptors as well. All these processes make it possible for the nervous system to be amazingly flexible.

can go into or come out of the bag. An ionotropic receptor is like that. When the neurotransmitter binds to an ionotropic recep- tor, it twists the receptor just enough to open its central channel, which has a shape that lets a particular type of ion pass through. In contrast to the sodium and potassium channels along an axon, which are voltage-gated, the channels controlled by a neu- rotransmitter are transmitter-gated or ligand-gated channels. (A ligand is a chemical that binds to something.) That is, when the neurotransmitter attaches, it opens a channel. Ionotropic effects begin quickly, sometimes within less than a millisecond after the transmitter attaches (Lisman, Raghavachari, & Tsien, 2007). The effects decay with a half-life of about 5 ms.

Most of the brain’s excitatory ionotropic synapses use the neurotransmitter glutamate. In fact, glutamate is the most abundant neurotransmitter in the nervous system. Most of the inhibitory ionotropic synapses use the neurotransmitter GABA (gamma-aminobutyric acid), which opens chloride gates, enabling chloride ions, with their negative charge, to cross the membrane into the cell more rapidly than usual. Glycine is another common inhibitory transmitter, found mostly in the spinal cord (Moss & Smart, 2001). Acetylcho- line, another transmitter at many ionotropic synapses, is ex- citatory in most cases. Figure 2.15a shows an acetylcholine receptor (hugely magnified, of course), as it would appear if you were looking down at it from within the synaptic cleft. Its

STOP & CHECK 9. When the action potential reaches the presynaptic termi-

nal, which ion must enter the presynaptic terminal to evoke release of the neurotransmitter?

ANSWER

9. Calcium Activating Receptors of the Postsynaptic Cell Sherrington’s concept of the synapse was simple: Input produced excitation or inhibition—in other words, an on/off system. When Eccles recorded from individual cells, he happened to choose cells that produced only brief EPSPs and IPSPs—again, just on/off. The discovery of chemical transmission at synapses didn’t change that, at first. Researchers discovered more and more neurotransmitters and wondered, “Why does the nervous system use so many chemicals, if they all produce the same type of message?” Eventually they found that the mes- sages are more complicated and more varied.

The effect of a neurotransmitter depends on its receptor on the postsynaptic cell. When the neurotransmitter attaches to its receptor, the receptor may open a channel—exerting an iono- tropic effect—or it may produce a slower but lon- ger effect—a metabotropic effect.

Ionotropic Effects At one type of receptor, neurotransmitters exert ionotropic effects, corresponding to the brief on/off effects that Sherrington and Eccles studied. Imagine a paper bag that is twisted shut at the top. If you un- twist it, the opening grows larger so that something

Outer portion, embedded in the membrane

Inner portion, surrounding the sodium channel

Outer portion, embedded in the membrane

Inner portion, surrounding the sodium channel

(a)

(b)

Figure 2.15 The acetylcholine receptor (a) A cross section of the receptor at rest, as viewed from the synaptic cleft. The mem- brane surrounds it. (b) A similar view after acetylcholine has attached to the side of the receptor, opening the central channel wide enough for sodium to pass through. (Source: From “Structure and gating mechanism of the acetylcholine receptor pore,” by A. Miyazawa, Y. Fujiyoshi, and N. Unwin, 2003, Nature, 423, pp. 949–955.)

08202_ch02_ptg01.indd 54 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 55

outer portion (in red) is embedded in the neuron’s membrane; its inner portion (in purple) surrounds the sodium channel. When the receptor is at rest, the inner portion coils together tightly enough to block sodium passage. When acetylcholine attaches as in Figure 2.15b, the receptor folds outward, widen- ing the sodium channel (Miyazawa, Fujiyoshi, & Unwin, 2003).

Metabotropic Effects and Second Messenger Systems At other receptors, neurotransmitters exert metabotropic effects by initiating a sequence of metabolic reactions that start slowly but last longer than ionotropic effects. Metabotropic effects emerge 30 ms or more after the release of the trans- mitter (North, 1989). Typically, they last up to a few seconds, sometimes longer. Whereas most ionotropic effects depend on either glutamate or GABA, metabotropic synapses use many neurotransmitters, including dopamine, norepinephrine, and serotonin . . . and sometimes glutamate and GABA too.

Apologies if you find this analogy silly, but it might help clarify metabotropic synapses: Imagine a large room. You are outside the room holding a stick that goes through a hole in the wall and attaches to the hinge of a cage. If you shake the stick, you open that cage and release an angry dog. The dog runs around waking up all the rabbits in the room, which then scurry around causing all kinds of further action. A metabo- tropic receptor acts a little like that. When a neurotransmit- ter attaches to a metabotropic receptor, it bends the receptor protein that goes through the membrane of the cell. The other side of that receptor is attached to a G protein—that is, a protein coupled to guanosine triphosphate (GTP), an energy- storing molecule. Bending the receptor protein detaches that

G protein, which is then free to take its energy elsewhere in the cell, as shown in Figure 2.16. The result of that G protein is increased concentration of a second messenger, such as cy- clic adenosine monophosphate (cyclic AMP), inside the cell. Just as the “first messenger” (the neurotransmitter) carries information to the postsynaptic cell, the second messenger communicates to areas within the cell. It may open or close ion channels in the membrane or activate a portion of a chro- mosome. Note the contrast: An ionotropic synapse has effects localized to one point on the membrane, whereas a metabo- tropic synapse, by way of its second messenger, influences ac- tivity in much or all of the cell and over a longer time.

Ionotropic and metabotropic synapses contribute to dif- ferent aspects of behavior. For vision and hearing, the brain needs rapid, up-to-date information, the kind that ionotropic synapses bring. In contrast, metabotropic synapses are bet- ter suited for more enduring effects such as taste (Huang et al., 2005), smell, and pain (Levine, Fields, & Basbaum, 1993), where the exact timing isn’t important anyway. Metabotropic synapses are also important for many aspects of arousal, atten- tion, pleasure, and emotion—again, functions that arise more slowly and last longer than a visual or auditory stimulus.

Neuropeptides Researchers often refer to the neuropeptides as neuromodu- lators, because they have properties that set them apart from other transmitters (Ludwig & Leng, 2006). Whereas the neu- ron synthesizes most other neurotransmitters in the presynap- tic terminal, it synthesizes neuropeptides in the cell body and then slowly transports them to other parts of the cell. Whereas other neurotransmitters are released at the axon terminal, the

1. Transmitter molecule attaches to receptor

2. Receptor bends, releasing G protein

3. G protein activates a “second messenger” such as cyclic AMP, which alters a metabolic pathway, turns on a gene in the nucleus, or opens or closes an ion channel

Nonstimulated metabotropic receptor

G protein

Membrane

1

2

3

Figure 2.16 Sequence of events at a metabotropic synapse, using a second messenger within the postsynaptic neuron

08202_ch02_ptg01.indd 55 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

56 CHAPTER 2 Synapses

neuropeptides are released mainly by dendrites, and also by the cell body and by the sides of the axon. A single action poten- tial can release a neurotransmitter, but neuropeptide release requires repeated stimulation. However, after a few dendrites release a neuropeptide, the released chemical primes other nearby dendrites, including those on other cells, to release the same neuropeptide also. Thus, neurons containing neuropep- tides do not release them often, but when they do, they release substantial amounts. Furthermore, unlike other transmitters that are released immediately adjacent to their receptors, neu- ropeptides diffuse widely, slowly affecting many neurons in their region of the brain. In that way they resemble hormones. Because many of them exert their effects by altering gene activ- ity, their effects often last 20 minutes or more. Neuropeptides are important for hunger, thirst, and other long-term changes in behavior and experience. Table 2.2 summarizes differences between neurotransmitters and neuropeptides.

Variation in Receptors The brain has a variety of receptor types for each neurotrans- mitter. Receptors for a given transmitter differ in their chemi- cal structure, responses to drugs, and roles in behavior. Because of this variation in properties, it is possible to devise drugs with specialized effects on behavior. For example, the serotonin receptor type 3 mediates nausea, and the drug on- dansetron that blocks this receptor helps cancer patients un- dergo treatment without nausea.

A given receptor can have different effects for different people, or even in different parts of one person’s brain, because of differences in the hundreds of proteins associated with the synapse (O’Rourke, Weiler, Micheva, & Smith, 2012). The syn- apse is a complicated place, where dozens of proteins tether the presynaptic neuron to the postsynaptic neuron and guide neurotransmitter molecules to their receptors (Wilhelm et al., 2014). Genetic variations in synaptic proteins have been linked to variation in anxiety, sleep, and other aspects of behavior.

Drugs That Act by Binding to Receptors A drug that chemically resembles a neurotransmitter can bind to its receptor. Many hallucinogenic drugs—that is, drugs that distort perception, such as lysergic acid diethylamide (LSD)—chemically resemble serotonin (see Figure 2.17). They attach to serotonin type 2A (5-HT2A) receptors and provide stimulation at inappropriate times or for longer-than-usual durations. LSD increases the connections among brain areas that ordinarily do not communicate much with one another. A possible explanation for the hallucinogenic effect is that the increased spontaneous communication within the brain dom- inates over the input coming from the sense organs (Carhart- Harris et al., 2016; Tagliazucchi et al., 2016).

Nicotine, a compound present in tobacco, stimulates a family of acetylcholine receptors, conveniently known as nicotinic receptors. Because nicotinic receptors are abundant on neurons that release dopamine, nicotine increases dopa- mine release (Levin & Rose, 1995; Pontieri, Tanda, Orzi, & DiChiara, 1996). Because dopamine release is associated with reward, nicotine stimulation is rewarding also.

Opiate drugs are derived from, or chemically similar to those derived from, the opium poppy. Familiar opiates include

Table 2.2 Distinctive Features of Neuropeptides

Neuropeptides Neurotransmitters Place synthesized

Cell body Presynaptic terminal

Place released Mostly from dendrites, also cell body and sides of axon

Axon terminal

Released by Repeated depolarization

Single action potential

Effect on neighboring cells

They release the neuropeptide too

No effect on neighbors

Spread of effects

Diffuse to wide area Effect mostly on receptors of the adjacent postsynaptic cell

Duration of effects

Minutes Milliseconds to seconds

STOP & CHECK 10. How do ionotropic and metabotropic synapses differ in

speed and duration of effects? 11. What are second messengers, and which type of synapse

relies on them? 12. How do neuropeptides compare to other transmitters?

ANSWERS

10. Ionotropic synapses act more quickly and more briefly. 11. Second messengers are chemicals that alter metabolism or gene expression within a postsynaptic neuron. At metabotropic synapses, the neurotransmit- ter attaches to a receptor and thereby releases a second messenger. 12. Neuropeptides are released only after prolonged stimulation, but when they are released, they are released in large amounts by all parts of the neuron, not just the axon terminal. Neuropeptides diffuse widely, producing long-lasting effects on many neurons.

HO

Serotonin

CH2CH2NH2

O === C ––– N(C2H5)2

N H

LSD

N H

NCH3

Figure 2.17 Resemblance of the neurotransmitter serotonin to LSD, a hallucinogenic drug

08202_ch02_ptg01.indd 56 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 57

morphine, heroin, and methadone. People used morphine and other opiates for centuries without knowing how the drugs af- fected the brain. Then researchers found that opiates attach to specific receptors in the brain (Pert & Snyder, 1973). It was a safe guess that vertebrates had not evolved such receptors just to enable us to become drug addicts. Soon investigators found that the brain produces its own neuropeptides, now known as endorphins (a contraction of endogenous morphines), that bind to the same receptors as endorphins. This discovery was important because it indicated that opiates relieve pain by act- ing on receptors in the brain as well as in the skin. This finding also paved the way for the discovery of other neuropeptides that regulate emotions and motivations.

STOP & CHECK 13. How do LSD, nicotine, and opiate drugs influence behavior?

ANSWER

13. LSD binds to one type of serotonin receptor. Nicotine binds to one type of acetylcholine receptor. Opiates bind to endorphin receptors.

(catechol-o-methyltransferase). The breakdown products wash away and eventually show up in the blood and urine.

Stimulant drugs, including amphetamine and cocaine, inhibit the transporters for dopamine, serotonin, and norepi- nephrine, thus decreasing reuptake and prolonging the effects of the neurotransmitters (Beuming et al., 2008; Schmitt & Reith, 2010; Zhao et al., 2010). Most antidepressant drugs also block reuptake of one or more neurotransmitters, but more weakly than amphetamine and cocaine do.

When stimulant drugs increase the accumulation of do- pamine in the synaptic cleft, COMT breaks down the excess dopamine faster than the presynaptic cell can replace it. A few hours after taking a stimulant drug, a user has a deficit of dopamine and enters a withdrawal state, marked by reduced energy, reduced motivation, and mild depression.

Methylphenidate (Ritalin), another stimulant drug, is of- ten prescribed for people with attention deficit/hyperactivity disorder. Methylphenidate and cocaine block the reuptake of dopamine in the same way at the same brain receptors. The dif- ferences between the drugs relate to dose and time course. Co- caine users typically sniff it or inject it to produce a rapid rush of effect on the brain. People taking methylphenidate pills experi- ence a gradual increase in the drug’s concentration over an hour or two, followed by a slow decline. Therefore, methylphenidate does not produce the sudden rush of excitement that cocaine does. However, anyone who injects methylphenidate experi- ences effects similar to cocaine’s, including a risk of addiction.

Inactivation and Reuptake of Neurotransmitters A neurotransmitter does not linger at the postsynaptic membrane, where it might continue exciting or inhibiting the receptor. Various neurotransmitters are inactivated in different ways. The neuropeptides, however, are not inac- tivated. They simply diffuse away. Because resynthesizing these large molecules takes time, a neuron can temporarily exhaust its supply.

After acetylcholine activates a receptor, the enzyme ace- tylcholinesterase (a-SEE-til-ko-lih-NES-teh-raze) breaks it into two fragments: acetate and choline. The choline diffuses back to the presynaptic neuron, which takes it up and recon- nects it with acetate already in the cell to form acetylcholine again. Although this recycling process is highly efficient, it takes time, and the presynaptic neuron does not reabsorb every molecule it releases. A sufficiently rapid series of ac- tion potentials at any synapse depletes the neurotransmitter faster than the presynaptic cell replenishes it, thus slowing or interrupting transmission (Liu & Tsien, 1995).

Serotonin and the catecholamines (dopamine, norepi- nephrine, and epinephrine) do not break down into inac- tive fragments at the postsynaptic membrane. They simply detach from the receptor. At that point, the next step var- ies. The presynaptic neuron takes up much or most of the released neurotransmitter molecules intact and reuses them. This process, called reuptake, occurs through special mem- brane proteins called transporters. The activity of trans- porters varies among individuals and from one brain area to another. Any transmitter molecules that the transporters do not take will instead break down by an enzyme called COMT

STOP & CHECK 14. What happens to acetylcholine molecules after they stimu-

late a postsynaptic receptor? 15. What happens to serotonin and catecholamine molecules

after they stimulate a postsynaptic receptor? 16. How do amphetamine and cocaine influence synapses? 17. Why is methylphenidate generally less disruptive to behavior

than cocaine is despite the drugs’ similar mechanisms?

ANSWERS

14. The enzyme acetylcholinesterase breaks acetylcho- line molecules into two smaller molecules, acetate and choline, which are then reabsorbed by the presynaptic ter- minal. 15. Most serotonin and catecholamine molecules are reabsorbed by the presynaptic terminal. Some of their molecules are broken down into inactive chemicals, which then diffuse away. 16. They block reuptake of released dopamine, serotonin, and norepinephrine. 17. The effects of a methylphenidate pill develop and decline in the brain much more slowly than do those of cocaine.

Negative Feedback from the Postsynaptic Cell Suppose someone sends you an email message and then, wor- ried that you might not have received it, sends it again and again. To prevent cluttering your inbox, you might add a sys- tem that provides an automatic answer, “Yes, I got your mes- sage. Don’t send it again.”

08202_ch02_ptg01.indd 57 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

58 CHAPTER 2 Synapses

A couple of mechanisms in the nervous system serve that function. First, many presynaptic terminals have receptors sensitive to the same transmitter they release. These recep- tors are known as autoreceptors—receptors that respond to the released transmitter by inhibiting further synthesis and release. That is, they provide negative feedback (Kubista & Boehm, 2006).

Second, some postsynaptic neurons respond to stimu- lation by releasing chemicals that travel back to the pre- synaptic terminal to inhibit further release of transmitter. Nitric oxide is one such transmitter. Certain cells in the retina emit hydrogen ions (that is, protons) to inhibit fur- ther transmission (Wang, Holzhausen, & Kramer, 2014). Two other reverse transmitters are anandamide (from

the Sanskrit word anana, meaning “bliss”) and 2-AG (sn-2 arachidonylglycerol).

Cannabinoids, the active chemicals in marijuana, bind to anandamide or 2-AG receptors on presynaptic neurons, indi- cating, “The cell got your message. Stop sending it.” The presyn- aptic cell, unaware that it hadn’t sent any message at all, stops sending. In this way, the chemicals in marijuana decrease both excitatory and inhibitory messages from neurons that release glutamate, GABA, and other transmitters. In various cases the result can be either brief or more long-lasting suppression of release (Lutz, Marsicano, Maldonado, & Hillard, 2015). The behavioral results vary, but usually include decreased anxiety.

Figure 2.18 summarizes some of the ways in which drugs affect dopamine synapses, including effects on synthesis,

Tyrosine (from diet)

DOPA

Dopamine (DA)

Certain antidepressants block this reaction

Typical antipsychotic

drug, such as haloperidol,

blocks receptor

Cannabinoids attach to same receptors as

anandamide and 2-AG, inhibiting further release

of neurotransmitter Cocaine blocks reuptake. So do methylphenidate and many antidepressants, but less strongly

Postsynaptic neuron

DOPA can increase

supply

DO PA

C

(ina ctiv

e)

AMPT can block this reaction

via M A

O

reuptakerelease

DADA

DADA

DADA

DADA

DADA

Figure 2.18 Effects of some drugs at dopamine synapses

08202_ch02_ptg01.indd 58 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 59

release, action on postsynaptic receptors, reuptake, and breakdown. Table 2.3 also summarizes effects of some com- mon drugs.

Electrical Synapses At the start of this module, you learned that Sherrington was wrong to assume that synapses convey messages elec- trically. Well, he wasn’t completely wrong. A few special- purpose synapses do operate electrically. Because electrical transmission is faster than even the fastest chemical trans- mission, electrical synapses have evolved in cases where ex- act synchrony between two cells is important. For example, some of the cells that control your rhythmic breathing are synchronized by electrical synapses. (It’s important to in- hale on the left side at the same time as on the right side.) Also, many animal species have electrical synapses in their system responsible for coordinating rapid escape move- ments (Pereda, 2014).

At an electrical synapse, the membrane of one neuron comes into direct contact with the membrane of another, as shown in Figure 2.19. This contact is called a gap junction. Fairly large pores of the membrane of one neuron line up pre- cisely with similar pores in the membrane of the other cell. These pores are large enough for sodium and other ions to pass readily, and unlike the other membrane channels we have considered, these pores remain open constantly. Therefore, whenever one of the neurons is depolarized, sodium ions from that cell can pass immediately into the other neuron and de- polarize it, too. As a result, the two neurons act as if they were a single neuron. Again we see the great variety of synapses in the nervous system.

Hormones Hormonal influences resemble synaptic transmission in many ways, including the fact that many chemicals serve both as hormones and as neurotransmitters. A hormone is a chemi- cal secreted by cells in one part of the body and conveyed by the blood to influence other cells. A neurotransmitter is like a telephone signal: It conveys a message from the sender to the intended receiver. Hormones function more like a radio station: They convey a message to any receiver tuned to the right station. Neuropeptides are intermediate. They diffuse within part of the brain, but not to other parts of the body. Figure 2.20 shows the major endocrine (hormone-producing) glands. Table 2.4 lists those hormones that become relevant in other chapters of this book. (A complete list of hormones would be lengthy.)

Hormones are particularly useful for coordinating long-lasting changes in multiple parts of the body. For example, birds that are preparing for migration secrete hormones that change their eating and digestion to store extra energy for a long journey. Two types of hormones are protein hormones and peptide hormones, com- posed of chains of amino acids. (Proteins are longer chains and peptides are shorter.) Protein and peptide hormones attach to membrane receptors, where they activate a second messenger within the cell—exactly like a metabo- tropic synapse.

STOP & CHECK 18. How do cannabinoids affect neurons?

ANSWER

18. Cannabinoids released by the postsynaptic neuron attach to receptors on presynaptic neurons, where they inhibit further release of both glutamate and GABA.

Table 2.3 Summary of Some Drugs and Their Effects

Drugs Main Synaptic Effects

Amphetamine Blocks reuptake of dopamine and several other transmitters

Cocaine Blocks reuptake of dopamine and several other transmitters

Methylphenidate (Ritalin)

Blocks reuptake of dopamine and others, but gradually

MDMA (“Ecstasy”)

Releases dopamine Releases serotonin

Nicotine Stimulates nicotinic-type acetylcholine receptor, which (among other effects) increases dopamine release in nucleus accumbens

Opiates (e.g., heroin, morphine)

Stimulates endorphin receptors

Cannabinoids (marijuana)

Excites negative-feedback receptors on presynaptic cells; those receptors ordinarily respond to anandamide and 2AG

Hallucinogens (e.g., LSD)

Stimulates serotonin type 2A receptors (5-HT2A)

Ions flow through gap junction channels

Presynaptic membrane

Postsynaptic membrane

Figure 2.19 A gap junction for an electrical synapse

08202_ch02_ptg01.indd 59 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

60 CHAPTER 2 Synapses

Table 2.4 Selective List of Hormones

Organ Hormone Hormone Functions (partial) Hypothalamus Various releasing hormones Promote/inhibit release of hormones from pituitary Anterior pituitary Thyroid-stimulating hormone

Luteinizing hormone Follicle-stimulating hormone

Stimulates thyroid gland Stimulates ovulation Promotes ovum maturation (female), sperm production (male)

ACTH Increases steroid hormone production by adrenal gland Prolactin Increases milk production Growth hormone Increases body growth

Posterior pituitary Oxytocin Uterine contractions, milk release, sexual pleasure Vasopressin Raises blood pressure, decreases urine volume

Pineal Melatonin Sleepiness; also role in puberty Adrenal cortex Aldosterone Reduces release of salt in the urine

Cortisol Elevated blood sugar and metabolism Adrenal medulla Epinephrine, norepinephrine Similar to actions of sympathetic nervous system Pancreas Insulin Helps glucose enter cells

Glucagon Helps convert stored glycogen into blood glucose Ovary Estrogens and progesterone Female sexual characteristics and pregnancy Testis Testosterone Male sexual characteristics and pubic hair Kidney Renin Regulates blood pressure, contributes to hypovolemic thirst Fat cells Leptin Decreases appetite, increases activity

Just as circulating hormones modify brain activity, hor- mones secreted by the brain control the secretion of many other hormones. The pituitary gland, attached to the hypothala- mus (see Figure 2.21), has two parts, the anterior pituitary and the posterior pituitary, which release different sets of hormones. The posterior pituitary, composed of neural tissue, can be considered an extension of the hypothalamus. Neurons in the hypothalamus synthesize the hormones oxytocin and vasopressin (also known as antidiuretic hormone), which migrate down axons to the posterior pituitary, as shown in Figure  2.22. Later, the posterior pituitary releases these hormones into the blood.

The anterior pituitary, composed of glandular tissue, syn- thesizes six hormones, although the hypothalamus controls their release (see Figure 2.22). The hypothalamus secretes releasing hormones, which flow through the blood to the an- terior pituitary. There they stimulate or inhibit the release of other hormones.

The hypothalamus maintains fairly constant circulating levels of certain hormones through a negative feedback sys- tem. For example, when the level of thyroid hormone is low, the hypothalamus releases TSH-releasing hormone, which stimulates the anterior pituitary to release TSH, which in turn causes the thyroid gland to secrete more thyroid hormones (see Figure 2.23).

Pineal gland

Pituitary gland

Parathyroid glands

Adrenal gland

Liver

Kidney

Pancreas

Ovary (in female)

Placenta (in female during pregnancy)

Testis (in male)

Thyroid glands

Thymus

Hypothalamus

Figure 2.20 Location of some major endocrine glands (Source: Starr & Taggart, 1989)

08202_ch02_ptg01.indd 60 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 61

Anterior lobe of pituitary

Posterior lobe of pituitary

Optic chiasm Third ventricle

Hypothalamus

Pituitary stalk

Membrane covering around brain

Bone at base of cranial cavity

Figure 2.21 Location of the hypothalamus and pituitary gland in the human brain (Source: Starr & Taggart, 1989)

GH, ACTH, TSH, FSH, LH, and prolactin

Hypothalamus secretes releasing hormones and inhibiting hormones that control anterior pituitary. Also synthesizes vasopressin and oxytocin, which travel to posterior pituitary.

Posterior pituitaryAnterior pituitary

Vasopressin and oxytocin

(Arterial flow)

(Arterial flow)

Figure 2.22 Pituitary hormones The hypothalamus produces vasopressin and oxytocin, which travel to the posterior pituitary (really an extension of the hypothalamus). The poste- rior pituitary releases those hormones in response to neural signals. The hypothalamus also produces releasing hormones and inhibiting hormones, which travel to the anterior pituitary, where they control the release of six hormones synthesized there.

Hypothalamus

TSH-releasing hormone

Thyroxine and triiodothyronine

TSH

Anterior pituitary

Thyroid gland

Excitatory effect

Inhibitory effect

Figure 2.23 Negative feedback in the control of thyroid hormones The hypothalamus secretes a releasing hormone that stimulates the anterior pituitary to release TSH, which stimulates the thyroid gland to release its hormones. Those hormones, in turn, act on the hypothalamus to decrease its secretion of the releasing hormone.

STOP & CHECK 19. Which part of the pituitary—anterior or posterior—is neural

tissue, similar to the hypothalamus? Which part is glandular tissue and produces hormones that control the secretions by other endocrine organs?

20. In what way is a neuropeptide intermediate between neu- rotransmitters and hormones?

ANSWERS

19. The posterior pituitary is neural tissue, like the hypo- thalamus. The anterior pituitary is glandular tissue and produces hormones that control several other endocrine organs. 20. Ordinary neurotransmitters are released in small amounts close to their receptors. Neuropeptides are released into a brain area in larger amounts or not at all. When released, they diffuse more widely. Hormones are released into the blood for diffuse delivery throughout the body.

08202_ch02_ptg01.indd 61 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

62 CHAPTER 2 Synapses62 CHAPTER 2 Synapses

Neurotransmitters and Behavior

In the century-plus since Sherrington, we have come a long way in our understanding of synapses. We no longer think of synapses as simple on/off messages. Synaptic messages vary in intensity, speed of onset, and duration. Drugs can modify

them in many ways, for good or bad, but so can experi- ences. Understanding how the nervous system produces our behavior and experiences is largely a matter of understand- ing synapses.

Module 2.2 In Closing

Summary 1. The great majority of synapses operate by transmitting a

chemical neurotransmitter from the presynaptic cell to the postsynaptic cell. Otto Loewi demonstrated chemi- cal transmission by stimulating a frog’s heart electrically and then transferring fluids from that heart to another frog’s heart. 50

2. Many chemicals are used as neurotransmitters. Most are amino acids or chemicals derived from amino acids. 52

3. An action potential opens calcium channels in the axon terminal, and the calcium enables release of neurotransmitters. 53

4. At ionotropic synapses, a neurotransmitter attaches to a receptor that opens the gates to allow a particular ion, such as sodium, to cross the membrane. Ionotropic effects are fast and brief. Most excitatory ionotropic synapses use glutamate, and most inhibitory ionotropic synapses use GABA. 54

5. At metabotropic synapses, a neurotransmitter activates a second messenger inside the postsynaptic cell, leading to slower but longer-lasting changes. 55

6. Neuropeptides diffuse widely, affecting many neurons for a period of minutes. Neuropeptides are important for hunger, thirst, and other slow, long-term processes. 55

7. Several drugs including LSD, antipsychotic drugs, nico- tine, and opiate drugs exert their behavioral effects by binding to receptors on the postsynaptic neuron. 56

8. After a neurotransmitter (other than a neuropeptide) has activated its receptor, many of the transmitter mol- ecules reenter the presynaptic cell through transporter molecules in the membrane. This process, known as reuptake, enables the presynaptic cell to recycle its neu- rotransmitter. Stimulant drugs and many antidepressant drugs inhibit reuptake of certain transmitters. 57

9. Postsynaptic neurons send chemicals to receptors on the presynaptic neuron to inhibit further release of neu- rotransmitter. Cannabinoids, found in marijuana, mimic these chemicals. 58

10. Hormones travel through the blood, affecting receptors in many organs. Their mechanism of effect resembles that of a metabotropic synapse. 59

Key Terms Terms are defined in the module on the page number indicated. They are also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

2-AG 58 acetylcholine 52 acetylcholinesterase 57 amino acids 52 amphetamine 57 anandamide 58 anterior pituitary 60 autoreceptors 58 cannabinoids 58 catecholamines 52 cocaine 57 COMT 57 endocrine glands 59 exocytosis 53 gap junction 59

G protein 55 gases 52 hallucinogenic drugs 56 hormone 59 ionotropic effects 54 ligand-gated channels 54 MAO 53 metabotropic effects 55 methylphenidate 57 monoamines 52 neuromodulators 55 neuropeptides 52 neurotransmitters 52 nicotine 56 nitric oxide 52

opiate drugs 56 oxytocin 60 peptide hormones 59 pituitary gland 60 posterior pituitary 60 protein hormones 59 purines 52 releasing hormones 60 reuptake 57 second messenger 55 transmitter-gated channels 54 transporters 57 vasopressin 60 vesicles 53

08202_ch02_ptg01.indd 62 9/15/17 6:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2.2 Chemical Events at the Synapse 632.2 Chemical Events at the Synapse 63

1. Suppose axon A enters a ganglion (cluster of neurons) and axon B leaves on the other side. Shortly after an experimenter stimulates A, an impulse travels down B. We want to know whether B is just an extension of axon A or whether A formed an excitatory synapse on some neuron in the ganglion, whose axon is axon B. How could an experimenter determine the answer? Try to think of more than one good method. Presume

that the anatomy within the ganglion is so complex that you cannot simply observe the course of an axon through it.

2. If incoming serotonin axons were destroyed, LSD would still have its full effects. However, if incom- ing dopamine axons were destroyed, amphetamine and cocaine would lose their effects. Explain the difference.

Thought Questions

Module 2.2 End of Module Quiz

1. Loewi’s evidence for chemical transmission at a synapse used observations of what? A. Electrical potentials across a membrane B. Heart rate in frogs

C. Chemical analysis of fluids in the brain D. Reflexes in dogs

2. Which of the following is NOT one of the brain’s neurotransmitters? A. Glutamate B. GABA

C. Glucose D. Serotonin

3. Which of these is NOT a catecholamine? A. Serotonin B. Dopamine

C. Norepinephrine D. Acetylcholine

4. What does MAO (monoamine oxidase) do in the brain? A. It stimulates certain types of serotonin receptors. B. It sends a message to the presynaptic neuron to

decrease its firing rate.

C. It converts catecholamine transmitters into inactive chemicals.

D. It blocks the reuptake of certain neurotransmitters.

5. Suppose you want to cause the presynaptic terminal of an axon to release its transmitter. How could you do so without an action potential? A. Decrease the temperature at the synapse. B. Use an electrode to produce IPSPs in the postsynaptic

neuron.

C. Inject water into the presynaptic terminal. D. Inject calcium into the presynaptic terminal.

6. Which type of synapse is better suited for vision and hearing, and why? A. Metabotropic synapses because they produce quick,

brief effects B. Metabotropic synapses because they produce longer-

lasting effects

C. Ionotropic synapses because they produce quick, brief effects

D. Ionotropic synapses because they produce longer- lasting effects

7. What is the most abundant excitatory ionotropic neurotransmitter? A. Dopamine B. Serotonin

C. Glutamate D. GABA

8. What is a second messenger? A. A chemical released by the presynaptic neuron a few

milliseconds after release of the first neurotransmitter B. A chemical released inside a cell after stimulation at a

metabotropic synapse

C. A chemical that travels from the postsynaptic neuron back to the presynaptic neuron

D. A neuropeptide that affects all neurons in a given area

9. Which of the following is true of neuropeptides? A. They produce effects that last for minutes. B. They are chemically similar to the genes on a

chromosome.

C. They are released close to their receptors. D. They are released from the tip of an axon.

08202_ch02_ptg01.indd 63 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

64 CHAPTER 2 Synapses64 CHAPTER 2 Synapses

10. How does LSD exert its effects on the nervous system? A. It attaches to serotonin receptors. B. It blocks reuptake of serotonin.

C. Neurons convert it to dopamine. D. It tells the presynaptic neuron to stop releasing its

transmitter.

11. The serotonin transporter is responsible for which of these processes? A. Exocytosis B. Reuptake

C. Inhibition D. Synthesis

12. Except for the magnitude and speed of effects, methylphenidate (Ritalin) affects synapses the same way as which other drug? A. Heroin B. Cocaine

C. Nicotine D. Marijuana

13. In what way do cannabinoids differ from other drugs that affect the nervous system? A. Cannabinoids produce their effects in only one

brain area. B. Cannabinoids act without attaching to any receptor.

C. Cannabinoids act on the presynaptic neuron. D. Cannabinoids travel through the blood from one brain

area to another.

14. Electrical synapses are important when the nervous system needs to accomplish which of the following? A. Inhibition of competing behaviors B. Synchrony between neurons

C. Complex reasoning D. Long-lasting activation

15. Which of these is composed of neural tissue, as opposed to glandular tissue? A. The anterior pituitary B. The posterior pituitary

C. The pancreas D. The adrenal gland

16. In what way is a neuropeptide intermediate between neurotransmitters and hormones? A. A neuropeptide diffuses more widely than other

neurotransmitters but less than a hormone. B. A neuropeptide is larger than other neurotransmit-

ters but smaller than a hormone. C. A neurotransmitter produces excitatory effects, a

neuropeptide produces neutral effects, and a hor- mone produces negative effects.

D. A neurotransmitter produces slow effects, a neuropeptide produces faster effects, and a hormone produces still faster effects.

Answers: 1B, 2C, 3D, 4C, 5D, 6C, 7C, 8B, 9A, 10A, 11B, 12B, 13C, 14B, 15B, 16A.

Berkowitz, A. (2016). Governing behavior: How nerve cell dictatorships and democracies control everything we do. Cambridge, MA: Harvard University Press. Discusses many

examples illustrating how synaptic connections decide between one course of action and another.

Suggestion for Further Reading

08202_ch02_ptg01.indd 64 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch02_ptg01.indd 65 9/14/17 12:22 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch03_ptg01.indd 66 9/14/17 12:24 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

67

Trying to learn neuroanatomy (the anatomy of the nervous system) from a book is like trying to learn geography from a road map. A map can tell you that Mystic, Georgia, is about 40 km north of Enigma, Georgia. Similarly, a

book can tell you that the habenula is about 4.6 mm from the interpeduncular

nucleus in a rat’s brain (proportionately farther in a human brain). But these

little gems of information will seem both mysterious and enigmatic unless you

are interested in that part of Georgia or that area of the brain.

This chapter does not provide a detailed road map of the nervous system.

It is more like a world globe, describing the large, basic structures, analogous

to the continents, and some distinctive features of each.

The first module introduces key neuroanatomical terms and outlines

overall structures of the nervous system. In the second module, we concen-

trate on the cerebral cortex, the largest part of the mammalian central ner-

vous system. The third module deals with the main methods that researchers

use to discover the functions of brain areas.

Be prepared: This chapter contains a huge number of new terms. You

should not expect to memorize all of them at once, and you should review this

chapter repeatedly.

Module 3.1

Structure of the Vertebrate Nervous System Terminology to Describe the Nervous System The Spinal Cord The Autonomic Nervous System The Hindbrain The Midbrain The Forebrain The Ventricles In Closing: Learning Neuroanatomy

Module 3.2

The Cerebral Cortex Organization of the Cerebral Cortex The Occipital Lobe The Parietal Lobe The Temporal Lobe The Frontal Lobe How Do the Parts Work Together? In Closing: Functions of the Cerebral Cortex

Module 3.3

Research Methods Effects of Brain Damage Effects of Brain Stimulation Recording Brain Activity Correlating Brain Anatomy with Behavior In Closing: Research Methods and Progress

After studying this chapter, you should be able to:

1. Define the terms used to describe brain anatomy.

2. Describe the principal functions of certain brain areas.

3. List the four lobes of the cerebral cortex and name their principal functions.

4. Describe the binding problem and explain its theoretical importance.

5. Cite examples of several methods for studying the relationship between brain activity and behavior.

Chapter 3 Anatomy and Research Methods

Chapter Outline

Learning Objectives

Opposite:

New methods allow researchers to examine living brains. (Dorsal view of brain) (Source: Jupiter Images/Getty Images)

08202_ch03_ptg01.indd 67 9/14/17 12:24 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

68

Module 3.1

Structure of the Vertebrate Nervous System

Your nervous system includes a huge number of neurons, and an even huger number of synapses. How do all the parts work together to make one behaving unit? Does each neuron have a unique func- tion? Or does the brain operate as an undifferentiated whole?

The answer is something between those extremes. Consider an analogy to human society: Each individual has a specialty, such as teacher, farmer, or nurse, but no one performs any function without the cooperation of many other people. Similarly, brain areas and neurons have specialized functions, but they perform those roles by means of connections with other areas.

Terminology to Describe the Nervous System For vertebrates, we distin- guish the central nervous sys- tem from the peripheral nervous system (see Figure 3.1). The central nervous system (CNS) is the brain and the spinal cord. The peripheral nervous system (PNS) connects the brain and spinal

Figure 3.1 The human nervous system The central nervous system consists of the brain and spinal cord. The peripheral ner- vous system is the nerves outside the brain and spinal cord.

Peripheral Nervous System

Somatic (blue): Controls voluntary muscles and conveys sensory information to the central nervous system

Autonomic (red): Controls involuntary muscles Sympathetic: Expends energy Parasympathetic: Conserves energy

Central Nervous System (brown)

Brain

Spinal cord

08202_ch03_ptg01.indd 68 9/14/17 12:24 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 69

and the bottom of the brain is ventral (on the stomach side). The same would be true for you if you crawled on your hands and knees. However, when humans evolved upright posture, the position of the head changed relative to the spinal cord. For convenience, we still apply the terms dorsal and ventral to the same parts of the human brain as other vertebrate brains. Consequently, the dorsal–ventral axis of the human brain is at a right angle to the dorsal–ventral axis of the spi- nal cord. Figure 3.2 also illustrates the three ways of taking a plane through the brain, known as horizontal, sagittal, and coronal (or frontal).

Table 3.2 introduces additional terms that are worth learning. Tables 3.1 and 3.2 require careful study and review. After you think you have mastered the terms, check yourself with the following “Stop & Check” questions.

cord to the rest of the body. Part of the PNS is the somatic nervous system, which consists of the axons con- veying messages from the sense organs to the CNS and from the CNS to the muscles. Another part of the PNS, the autonomic nervous system, controls the heart, intestines, and other organs. The autonomic nervous system has some of its cell bodies within the brain or spinal cord and some in clusters along the sides of the spinal cord.

To follow a map, you must understand north, south, east, and west. Because the nervous system is three-dimensional, we need more terms to describe it. As Figure 3.2 and Table 3.1 indicate, dorsal means toward the back and ventral means toward the stomach. (A ventriloquist is liter- ally a “stomach talker.”) In a four-legged animal, the top of the brain is dorsal (on the same side as the animal’s back),

Figure 3.2 Terms for anatomical directions in the nervous system In four-legged animals, the dorsal and ventral axes for the head are parallel to those for the rest of the body. However, humans’ upright posture has tilted the head, so the dorsal and ventral directions of the head are at right angles to those of the spinal cord.

Ventral (for brainstem and spinal cord)

Dorsal (for brainstem and spinal cord)

LateralMedial

Dorsal (for brain)Left

Right

Ventral (for brain)

Coronal plane

An te

rio r

Po st

er io

r

Horizontal plane

Sagittal plane

Horizontal plane Sagittal plane Coronal planeDr. D

an a

Co pe

la nd

Dr . D

an a

Co pe

la nd

Dr . D

an a

Co pe

la nd

Sc ie

nc e

Pi ct

ur es

L im

ite d/

Sc ie

nc e

So ur

ce

08202_ch03_ptg01.indd 69 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

70 CHAPTER 3 Anatomy and Research Methods

was that the entering dorsal roots (axon bundles) carry sensory information, and the exiting ventral roots carry motor informa- tion. The cell bodies of the sensory neurons are in clusters of neurons outside the spinal cord, called the dorsal root ganglia. (Ganglia is the plural of ganglion, a cluster of neurons. In most cases, a neuron cluster outside the CNS is called a ganglion, and a cluster inside the CNS is called a nucleus.) Cell bodies of the motor neurons are inside the spinal cord.

In the cross section through the spinal cord shown in Figures 3.4 and 3.5, the H-shaped gray matter in the center

The Spinal Cord The spinal cord is the part of the CNS within the spinal column. The spinal cord communicates with all the sense organs and muscles except those of the head. It is a segmented structure, and each segment has on both the left and right sides a sen- sory nerve and a motor nerve, as Figure 3.3 shows. One of the earliest discoveries about the functions of the nervous system

Table 3.1 Anatomical Terms Referring to Directions

Term Definition

Dorsal Toward the back, away from the ventral (stomach) side. The top of the human brain is considered dorsal because it has that position in four-legged animals.

Ventral Toward the stomach, away from the dorsal (back) side

Anterior Toward the front end

Posterior Toward the rear end

Superior Above another part

Inferior Below another part

Lateral Toward the side, away from the midline

Medial Toward the midline, away from the side

Proximal Located close (approximate) to the point of origin or attachment

Distal Located more distant from the point of origin or attachment

Ipsilateral On the same side of the body (e.g., two parts on the left or two on the right)

Contralateral On the opposite side of the body (one on the left and one on the right)

Coronal plane (or frontal plane)

A plane that shows brain structures as seen from the front

Sagittal plane A plane that shows brain structures as seen from the side

Horizontal plane (or transverse plane)

A plane that shows brain structures as seen from above

Table 3.2 Terms Referring to Parts of the Nervous System

Term Definition Lamina A row or layer of cell bodies separated from

other cell bodies by a layer of axons and dendrites

Column A set of cells perpendicular to the surface of the cortex, with similar properties

Tract A set of axons within the CNS, also known as a projection. If axons extend from cell bodies in structure A to synapses onto B, we say that the fibers “project” from A onto B.

Nerve A set of axons in the periphery, either from the CNS to a muscle or gland or from a sensory organ to the CNS

Nucleus A cluster of neuron cell bodies within the CNS

Ganglion A cluster of neuron cell bodies, usually outside the CNS (as in the sympathetic nervous system)

Gyrus (pl.: gyri) A protuberance on the surface of the brain

Sulcus (pl.: sulci) A fold or groove that separates one gyrus from another

Fissure A long, deep sulcus

Figure 3.3 Diagram of a cross section through the spinal cord The dorsal root on each side conveys sensory information to the spinal cord; the ventral root conveys motor commands to the muscles.

Sensory nerveWhite matterGray matter Central canal

Dorsal

Ventral

Dorsal root ganglion

Motor nerve

STOP & CHECK 1. What does ventral mean, and what is its opposite? 2. What term means toward the midline, and what is its opposite? 3. If two structures are both on the left side of the body, they are

______ to each other. If one is on the left and the other is on the right, they are _____ to each other.

4. The bulges in the cerebral cortex are called _______. The grooves between them are called ____.

ANSWERS

1. Ventral means toward the stomach side. Its opposite is dorsal. 2. medial; lateral 3. ipsilateral; contralateral 4. gyri; sulci. To remember sulcus, think of the word sulk, meaning “to pout” (and therefore lie low).

08202_ch03_ptg01.indd 70 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 71

of the cord is densely packed with cell bodies and dendrites. Many neurons from the gray matter of the spinal cord send axons to the brain or to other parts of the spinal cord through the white matter, containing myelinated axons.

Each segment of the spinal cord sends sensory informa- tion to the brain and receives motor commands from the brain. All that information passes through tracts of axons in the spinal cord. If the spinal cord is cut at a given segment, the brain loses sensation from that segment and below. The brain also loses motor control over all parts of the body served by that segment and the lower ones.

The Autonomic Nervous System The autonomic nervous system consists of neurons that re- ceive information from and send commands to the heart, in- testines, and other organs. Its two parts are the sympathetic

and parasympathetic nervous systems (see Figure 3.6). The sympathetic nervous system, a network of nerves that pre- pare the organs for a burst of vigorous activity, consists of chains of ganglia just to the left and right of the spinal cord’s central regions (the thoracic and lumbar areas). These ganglia have connections back and forth with the spinal cord. Sympa- thetic axons prepare the organs for “fight or flight,” such as by increasing breathing and heart rate and decreasing digestive activity. Because the sympathetic ganglia are closely linked, they often act as a single system “in sympathy” with one an- other, although certain events activate some parts more than others. The sweat glands, the adrenal glands, the muscles that constrict blood vessels, and the muscles that erect the hairs of the skin have sympathetic input but no parasympathetic input.

The parasympathetic nervous system, sometimes called the “rest and digest” system, facilitates vegetative, nonemer- gency responses. The term para means “beside” or “related to,” and parasympathetic activities are related to, and generally the opposite of, sympathetic activities. For example, the sympa- thetic nervous system increases heart rate, and the parasym- pathetic nervous system decreases it. The parasympathetic nervous system increases digestive activity, whereas the sym- pathetic nervous system decreases it. The parasympathetic system also promotes sexual arousal, including erection in males. Although the sympathetic and parasympathetic systems produce contrary effects, both are constantly active to varying degrees, and many stimuli arouse parts of both systems.

The parasympathetic nervous system is also known as the craniosacral system because it consists of the cranial nerves and nerves from the sacral spinal cord (see Figure 3.6). Unlike the ganglia in the sympathetic system, the parasym- pathetic ganglia are not arranged in a chain near the spinal cord. Rather, long preganglionic axons extend from the spinal cord to parasympathetic ganglia close to each internal organ. Shorter postganglionic fibers then extend from the parasym- pathetic ganglia into the organs themselves. Because the para- sympathetic ganglia are not linked to one another, they act more independently than the sympathetic ganglia do. Para- sympathetic activity decreases heart rate, increases digestive rate, and in general, conserves energy.

The parasympathetic nervous system’s axons release the neurotransmitter acetylcholine onto the organs. Most sympa- thetic nervous system axons release norepinephrine, although a few, such as those onto the sweat glands, use acetylcholine. Because the two systems use different transmitters, certain drugs excite or inhibit one system or the other. For example, over-the-counter cold remedies exert most of their effects by blocking parasympathetic activity or increasing sympathetic activity. Because the flow of sinus fluids is a parasympathetic response, drugs that block the parasympathetic system in- hibit sinus flow. The side effects of cold remedies stem from their pro-sympathetic, anti-parasympathetic activities: They increase heart rate, blood pressure, and arousal. They inhibit salivation and digestion. Certain decongestant pills containing pseudoephedrine have been withdrawn or restricted because of their potential for abuse.

Figure 3.4 Photo of a cross section through the spinal cord The H-shaped structure in the center is gray matter, composed largely of cell bodies. The surrounding white matter consists of axons. (Source: Dr. Keith Wheeler/Science Source)

Figure 3.5 A section of gray matter of the spinal cord (left) and white matter surrounding it Cell bodies and dendrites reside entirely in the gray matter. Axons travel from one area of gray matter to another in the white matter. (Source: Ed Reschke/Photolibrary/Getty Images)

08202_ch03_ptg01.indd 71 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

72 CHAPTER 3 Anatomy and Research Methods

The Hindbrain The brain has three major divisions—the hindbrain, the mid- brain, and the forebrain (see Figure 3.7 and Table 3.3). Some neuroscientists prefer terms with Greek roots: rhombenceph- alon (hindbrain), mesencephalon (midbrain), and prosen- cephalon (forebrain). You may encounter these terms in other reading.

The hindbrain, the posterior part of the brain, consists of the medulla, the pons, and the cerebellum. The medulla and pons, the midbrain, and certain central structures of the fore- brain constitute the brainstem (see Figure 3.8).

Figure 3.6 The sympathetic nervous system (red lines) and parasympathetic nervous system (blue lines) Note that the adrenal glands, sweat glands, and hair erector muscles receive sympathetic input only. (Source: Starr & Taggart, 1989)

Vagus nerveHeart

Salivary glands

Lungs

Liver

Stomach

Pupil

Sympathetic outflow Parasympathetic outflow

Cranial nerves (12 pairs)

Postganglionic axons

Cervical nerves (8 pairs)

Thoracic nerves (12 pairs)

Lumbar nerves (5 pairs)

Sacral nerves (5 pairs)

Coccygeal nerve (1 pair)

Celiac ganglion

Pelvic nerve

(Most ganglia near spinal cord)

Preganglionic axons

Pancreas

Kidney

Adrenal glandMuscles that erect hairs

Sweat gland

Bladder

Uterus

Genitals

Large intestine

Small intestine

STOP & CHECK 5. Motor nerves leave from which side of the spinal cord, dorsal

or ventral? 6. Which functions are controlled by the sympathetic nervous

system? Which are controlled by the parasympathetic nervous system?

ANSWERS

5. Ventral. 6. The sympathetic nervous system prepares the organs for vigorous fight-or-flight activity. The parasympathetic system increases vegetative responses such as digestion.

08202_ch03_ptg01.indd 72 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 73

The medulla, or medulla oblongata, can be regarded as an enlarged extension of the spinal cord. Just as the lower parts of the body connect to the spinal cord via sensory and motor nerves, the head and the organs connect to the me- dulla and adjacent areas by 12 pairs of cranial nerves (one of each pair on the right side and one on the left), as shown in Table 3.4 and Figure 3.9. The cranial nerves originating in the medulla control vital reflexes such as breathing, heart rate, vomiting, salivation, coughing, and sneezing. Because opiate receptors, which suppress activity, are abundant in the me- dulla, opiates can produce a dangerous decrease in breathing and heart rate.

The pons lies anterior and ventral to the medulla. Like the medulla, it contains nuclei for several cranial nerves. The term pons is Latin for “bridge,” reflecting the fact that in the pons, axons from each half of the brain cross to the opposite side of the spinal cord so that the left hemisphere controls the muscles of the right side of the body and the right hemisphere controls the left side.

The cerebellum is a large hindbrain structure with many deep folds. It has long been known for its contribu- tions to the control of movement, and many older text- books describe the cerebellum as important for “balance

and coordination.” True, people with cerebellar damage are clumsy and lose their balance, but the functions of the cerebellum extend far beyond balance and coordination. People with damage to the cerebellum have trouble shifting their attention back and forth between auditory and visual stimuli (Courchesne et al., 1994). They have difficulty with timing, such as judging whether one rhythm is faster than another. The cerebellum is also critical for certain types of learning and conditioning.

The Midbrain As the name implies, early in development the midbrain is in the middle of the brain, although in adult mammals it is dwarfed and surrounded by the forebrain. The midbrain is more prominent in reptiles, amphibians, and fish. The roof of the midbrain is called the tectum. (Tectum is the Latin word for “roof.” The same root occurs in the geological term plate tectonics.) The swellings on each side of the tec- tum are the superior colliculus and the inferior colliculus (see Figures 3.8 and 3.10). Both are important for sensory processing—the inferior colliculus for hearing and the su- perior colliculus for vision.

Under the tectum lies the tegmentum, the interme- diate level of the midbrain. (In Latin, tegmentum means a “covering,” such as a rug on the floor. The tectum cov- ers the tegmentum, but the tegmentum covers several other midbrain structures.) Another midbrain structure, the substantia nigra, gives rise to a dopamine-containing

Table 3.3 Major Divisions of the Vertebrate Brain

Area Also Known as Major Structures Forebrain Prosencephalon

(“forward-brain”)

Diencephalon (“between-brain”)

Thalamus, hypothalamus

Telencephalon (“end-brain”)

Cerebral cortex, hippocampus, basal ganglia

Midbrain Mesencephalon (“middle-brain”)

Tectum, tegmentum, superior colliculus, inferior colliculus, substantia nigra

Hindbrain Rhombencephalon (literally, “parallelogram- brain”)

Medulla, pons, cerebellum

Figure 3.7 Major divisions of the vertebrate brain In a fish brain, as shown here, the forebrain, midbrain, and hindbrain are clearly visible as separate bulges. In adult mammals, the forebrain grows and surrounds the entire midbrain and part of the hindbrain.

Forebrain

Optic nerve

Olfactory bulb

Hindbrain Midbrain

Figure 3.8 The human brainstem This composite structure extends from the top of the spinal cord into the center of the forebrain. The cerebral cortex surrounds the thalamus, pineal gland, and midbrain.

Thalamus Pineal gland

Tectum

Pons

Medulla

Tegmentum

Superior colliculus

Inferior colliculus

Midbrain

Posterolateral view of brainstem

08202_ch03_ptg01.indd 73 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

74 CHAPTER 3 Anatomy and Research Methods

pathway that facilitates readiness for movement.

The Forebrain The forebrain, the most prominent part of the mammalian brain, con- sists of two cerebral hemispheres, one on the left and one on the right (see Figure 3.11). Each hemisphere is organized to receive sensory in- formation, mostly from the contra- lateral (opposite) side of the body. It controls muscles, mostly on the contralateral side, by way of axons to the spinal cord and the cranial nerve nuclei.

The outer portion is the cerebral cortex. (Cerebrum is a Latin word for “brain.” Cortex is a Latin word for “bark” or “shell.”) Under the cerebral cortex are other structures, includ- ing the thalamus and the basal gan- glia. Several interlinked structures, known as the limbic system, form a border (or limbus, the Latin word for “border”) around the brainstem. The limbic system includes the ol- factory bulb, hypothalamus, hip- pocampus, amygdala, and cingulate

Table 3.4 The Cranial Nerves

Number and Name Major Functions I. Olfactory Smell

II. Optic Vision

III. Oculomotor Control of eye movements; pupil constriction

IV. Trochlear Control of eye movements

V. Trigeminal Skin sensations from most of the face; control of jaw muscles for chewing and swallowing

VI. Abducens Control of eye movements

VII. Facial Taste from the anterior two thirds of the tongue; control of facial expressions, crying, salivation, and dilation of the head’s blood vessels

VIII. Statoacoustic Hearing; equilibrium

IX. Glossopharyngeal Taste and other sensations from throat and posterior third of the tongue; control of swallowing, salivation, throat movements during speech

X. Vagus Sensations from neck and thorax; control of throat, esophagus, and larynx; parasympathetic nerves to stomach, intestines, and other organs

XI. Accessory Control of neck and shoulder movements

XII. Hypoglossal Control of muscles of the tongue

Cranial nerves III, IV, and VI are coded in red to highlight their similarity: control of eye movements. Cranial nerves VII, IX, and XII are coded in green to high- light their similarity: taste and control of tongue and throat movements. Cranial nerve VII has other important functions as well. Nerve X (not highlighted) also contributes to throat movements, although it is primarily known for other functions.

Figure 3.9 Cranial nerves II through XII Cranial nerve I, the olfactory nerve, connects directly to the olfactory bulbs of the forebrain. (Source: Based on Braus, 1960)

Optic nerve (Cranial nerve II)

Cranial nerve III

Cranial nerve V

Cranial nerve VIII VII VI

IX

X XI XII

Spinal nerve Spinal cord

Medulla

Cranial nerve IV

Midbrain

Pons

Cerebellum

08202_ch03_ptg01.indd 74 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 75

especially with regard to fear. Figure 3.12 shows the posi- tions of these structures in three-dimensional perspective. Figures 3.13 and 3.10 show coronal (from the front) and sagittal (from the side) sections through the human brain.

gyrus of the cerebral cortex. The hypothalamus is essential for control of eating, drinking, temperature control, and re- productive behaviors. The amygdala is part of the circuit that is most central for evaluating emotional information,

Figure 3.10 A sagittal section through the human brain (Source: Based on Nieuwenhuys, Voogd, & vanHuijzen, 1988)

Cingulate gyrus

Frontal lobe

Corpus callosum

Tissue dividing lateral ventricles

Cerebral cortex Parietal lobe

Occipital lobe

Superior and inferior colliculi

Midbrain

Cerebellum

Central canal of spinal cord

Thalamus

Nucleus accumbens

Hypothalamus

Pituitary gland

Pons

Medulla

Spinal cord

Figure 3.11 Dorsal view of the brain surface and a horizontal section through the brain (Source: Dr. Dana Copeland)

Frontal lobe

Precentral gyrus

Postcentral gyrus

Parietal lobe

Occipital lobe

Central sulcus

Corpus callosum

Basal ganglia

Hippocampus

Thalamus

Lateral ventricles (anterior parts)

Lateral ventricles (posterior parts)

Frontal lobe of cerebral cortex

Anterior

Posterior

08202_ch03_ptg01.indd 75 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

76 CHAPTER 3 Anatomy and Research Methods

Figure 3.13 also includes a view of the ventral surface of the brain.

In describing the forebrain, let’s begin with the subcor- tical areas. The next module focuses on the cerebral cortex. Later chapters discuss certain areas in more detail as they be- come relevant.

Thalamus The thalamus and hypothalamus form the diencephalon, a section distinct from the telencephalon, which is the rest of the forebrain. The thalamus is a pair of structures (left and right) in the center of the forebrain. The term derives from a

Figure 3.12 The limbic system is a set of subcortical structures that form a border (or limbus) around the brainstem.

Cingulate gyrus

Thalamus

Hypothalamus

Mamillary body

Hippocampus

Amygdala

Olfactory bulb

Figure 3.13 Two views of the human brain Left: A coronal section. Note how the corpus callosum and anterior commissure provide communication between the left and right hemispheres. Right: The ventral surface. The optic nerves (cut here) extend to the eyes. (Source: Dr. Dana Copeland)

Longitudinal �ssure

Olfactory bulbs

Optic nerves

Spinal cord

Frontal lobe of

cerebral cortex

Temporal lobe of

cerebral cortex

Medulla

Cerebellum

Corpus callosum

Lateral ventricles Basal ganglia

Anterior commissure

Temporal lobes

Cerebral cortex

Dorsal Ventral

(a) (b)

08202_ch03_ptg01.indd 76 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 77

Greek word meaning “anteroom,” “inner chamber,” or “bridal bed.” It resembles two small avocados joined side by side, one in the left hemisphere and one in the right. Most sensory in- formation goes first to the thalamus, which processes it and sends output to the cerebral cortex. An exception to this rule is olfactory information, which goes from the olfactory recep- tors to the olfactory bulbs and then directly to the cerebral cortex.

Many nuclei of the thalamus receive their input from a sensory system, such as vision, and transmit information to a single area of the cerebral cortex, as in Figure 3.14. The ce- rebral cortex sends information back to the thalamus, pro- longing and magnifying certain kinds of input and focusing attention on particular stimuli (Komura et al., 2001).

Hypothalamus and Pituitary Gland The hypothalamus, a small area near the base of the brain just ventral to the thalamus (see Figures 3.10 and 3.12), has widespread connections with the rest of the brain. The hy- pothalamus contains distinct nuclei, which we examine in

the chapters on motivation and emotion. Partly through nerves and partly by releasing hormones, the hypothalamus conveys messages to the pituitary gland, altering its release of hormones. Damage to any hypothalamic nucleus leads to abnormalities in motivated behaviors, such as feeding, drinking, temperature regulation, sexual behavior, fight- ing, or activity level. Because of these important behavioral effects, the small hypothalamus attracts much research attention.

The pituitary gland is an endocrine (hormone-producing) gland attached to the base of the hypothalamus (see Figure 3.10). In response to messages from the hypothalamus, the pituitary synthesizes hormones that the blood carries to organs through- out the body.

Basal Ganglia The basal ganglia, a group of subcortical structures lateral to the thalamus, include three major structures: the caudate nu- cleus, the putamen, and the globus pallidus (see Figure 3.15). Some authorities include other structures as well.

Figure 3.14 Routes of information from the thalamus to the cerebral cortex Each thalamic nucleus projects its axons to a different part of the cortex. (Source: After Nieuwenhuys, Voogd, & vanHuijzen, 1988)

Primary motor cortex Primary somatosensory cortex

Occipital cortexThalamus

Pulvinar nucleus

Dorsomedial nucleus

Frontal cortex

Optic tract

Ventral lateral nucleus

Ventral posterior nucleus

Lateral geniculate body

08202_ch03_ptg01.indd 77 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

78 CHAPTER 3 Anatomy and Research Methods

It has long been known that damage to the basal gan- glia impairs movement, as in conditions such as Parkinson’s disease and Huntington’s disease. The basal ganglia integrate motivational and emotional behavior to increase the vigor of selected actions. However, the role of the basal ganglia extends beyond movement. They are critical for learned skills and habits, as well as other types of learning that develop gradu- ally with extended experience. We return to the basal ganglia in more detail in the chapters on movement and memory.

Basal Forebrain One of the structures on the ventral surface of the forebrain, the nucleus basalis, receives input from the hypothalamus and basal ganglia and sends axons that release acetylcholine to widespread areas in the cerebral cortex (see Figure 3.16). The nucleus basalis is a key part of the brain’s system for arousal, wakefulness, and attention, as we consider in the chapter on sleep. Patients with Parkinson’s disease and Alzheimer’s

Figure 3.15 The basal ganglia The thalamus is in the center, the basal ganglia are lateral to it, and the cerebral cortex is on the outside. (Source: Based on Nieuwenhuys, Voogd, & vanHuijzen, 1988)

Figure 3.16 The basal forebrain The nucleus basalis and other structures in this area send axons throughout the cortex, increasing its arousal and wakefulness through release of the neurotransmitter acetylcholine. (Source: Based on Woolf, 1991)

Thalamus

Caudate nucleus

Putamen (lateral)

Amygdala

Globus pallidus (medial)

Nucleus basalis

08202_ch03_ptg01.indd 78 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 79

The Ventricles The nervous system begins its development as a tube sur- rounding a fluid canal. The canal persists into adulthood as the central canal in the center of the spinal cord, and as the ventricles, four fluid-filled cavities within the brain. Each hemisphere contains one of the two large lateral ventricles (see Figure 3.17). Toward their posterior, they connect to the third ventricle, positioned at the midline, separating the left thalamus from the right thalamus. The third ventricle con- nects to the fourth ventricle in the center of the medulla.

Cells called the choroid plexus along the walls of the four ventricles produce cerebrospinal fluid (CSF), a clear fluid similar to blood plasma. CSF fills the ventricles, flow- ing from the lateral ventricles to the third and fourth ven- tricles. From the fourth ventricle, some of it flows into the central canal of the spinal cord, but more goes into the narrow spaces between the brain and the thin meninges, membranes that surround the brain and spinal cord. In one of those narrow spaces, the subarachnoid space, the blood gradually reabsorbs the CSF. Although the brain has no pain receptors, the meninges do, and meningitis—inflammation of the meninges—is painful. Swollen blood vessels in the me- ninges are responsible for the pain of a migraine headache (Hargreaves, 2007).

Cerebrospinal fluid cushions the brain against mechanical shock when the head moves. It also provides buoyancy. Just as a person weighs less in water than on land, cerebrospinal fluid

STOP & CHECK 7. Of the following, which are in the hindbrain, which in the

midbrain, and which in the forebrain: basal ganglia, cerebel- lum, hippocampus, hypothalamus, medulla, pituitary gland, pons, substantia nigra, superior and inferior colliculi, tectum, tegmentum, thalamus?

8. Which area is the main source of input to the cerebral cortex?

ANSWERS

7. Hindbrain: cerebellum, medulla, and pons. Midbrain: substantia nigra, superior and inferior colliculi, tectum, and tegmentum. Forebrain: basal ganglia, hippocampus, hypothalamus, pituitary, and thalamus. 8. Thalamus

disease have impairments of attention and intellect because of inactivity or deterioration of their nucleus basalis.

Hippocampus The hippocampus (from the Latin word meaning “sea horse,” a shape suggested by the hippocampus) is a large structure between the thalamus and the cerebral cortex, mostly toward the posterior of the forebrain, as shown in Figure 3.12. We consider the hippocampus in more detail in the chapter on memory. The gist of that discussion is that the hippocampus is critical for certain types of memories, especially memories for individual events. It is also essential for monitoring where you are and where you are going.

Figure 3.17 The cerebral ventricles (a) Diagram showing positions of the four ventricles. (b) Photo of a human brain, viewed from above, with a horizontal cut through one hemisphere to show the position of the lateral ventricles. (Source: Photo courtesy of Dr. Dana Copeland)

Third ventricle

Fourth ventricle

Lateral ventricles

Cerebral aqueduct

Central canal of spinal cord

Thalamus

(a) (b)

Lateral ventricles

A nt

er io

r Po

st er

io r

08202_ch03_ptg01.indd 79 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Learning Neuroanatomy Module 3.1 In Closing

The brain is a complex structure. This module has introduced a great many terms and facts. Do not be discouraged if you have trouble remembering them. It will help to return to this

module to review anatomy as you encounter structures again in later chapters. Gradually, the material will become more familiar.

Summary 1. The vertebrate nervous system has two main divisions,

the central nervous system and the peripheral nervous system. 68

2. Each segment of the spinal cord has a sensory nerve and a motor nerve on both the left and right sides. Spinal path- ways convey information to the brain. 70

3. The sympathetic nervous system (one of the two divisions of the autonomic nervous system) activates the body’s internal organs for vigorous activities. The parasympa- thetic system (the other division) promotes digestion and other nonemergency processes. 71

4. The central nervous system consists of the spinal cord, the hindbrain, the midbrain, and the forebrain. 72

5. The hindbrain consists of the medulla, pons, and cerebel- lum. The medulla and pons control breathing, heart rate, and other vital functions through the cranial nerves. The cerebellum contributes to movement, timing short intervals, and certain types of learning and conditioning. 72

6. The cerebral cortex receives its sensory information, except for olfaction, from the thalamus. 76

7. The subcortical areas of the forebrain include the thala- mus, hypothalamus, pituitary gland, basal ganglia, and hippocampus. 76

8. The cerebral ventricles contain fluid that provides buoy- ancy and cushioning for the brain. 79

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

amygdala 75 autonomic nervous system 69 basal ganglia 77 brainstem 72 central nervous system 68 cerebellum 73 cerebrospinal fluid (CSF) 79 cranial nerves 73 dorsal 69 dorsal root ganglia 70 forebrain 74 gray matter 70 hindbrain 72

hippocampus 79 hypothalamus 77 inferior colliculus 73 limbic system 74 medulla 73 meninges 79 midbrain 73 neuroanatomy 67 nucleus basalis 78 parasympathetic nervous system 71 peripheral nervous system

(PNS) 68 pituitary gland 77

pons 73 somatic nervous system 69 spinal cord 70 substantia nigra 73 superior colliculus 73 sympathetic nervous system 71 tectum 73 tegmentum 73 thalamus 76 ventral 69 ventricles 79 white matter 71

helps support the weight of the brain. It also provides a reser- voir of hormones and nutrition for the brain and spinal cord.

If the flow of CSF is obstructed, it accumulates within the ventricles or in the subarachnoid space, increasing pressure on

the brain. When this occurs in infants, the skull bones spread, causing an overgrown head. This condition, known as hydro- cephalus (HI-dro-SEFF-ah-luss), can lead to mental retarda- tion, although the results vary from one person to another.

80 CHAPTER 3 Anatomy and Research Methods

08202_ch03_ptg01.indd 80 9/15/17 6:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.1 Structure of the Vertebrate Nervous System 81

Module 3.1 End of Module Quiz

1. What does ventral mean? A. Toward the side B. Toward the front

C. Toward the stomach D. Toward the head

2. If two structures are both on the left side, or both on the right, what is their relationship? A. Medial B. Ventral

C. Ipsilateral D. Contralateral

3. What is a sulcus in the brain? A. A groove that separates one gyrus from another B. A fluid-filled cavity

C. A set of axons from one brain structure to another D. A temporary decrease in activity

4. What is the function of the dorsal roots of the spinal cord? A. They receive sensory input. B. They control motor output.

C. They convey information from the brain to the spinal cord.

D. They convey information from the spinal cord to the brain.

5. What does the parasympathetic nervous system control? A. Fight-or-flight activities B. Vegetative activities

C. Social behavior D. Learned habits

6. Which of these controls breathing, heart rate, and salivation? A. The hippocampus B. The cranial nerves

C. The basal ganglia D. The pituitary gland

7. Which of these is part of the forebrain? A. Hippocampus B. Medulla

C. Pons D. Cerebellum

8. Which structure provides most of the direct input to the cerebral cortex? A. Cranial nerves B. Medulla

C. Thalamus D. Pineal gland

9. What do the ventricles contain? A. Densely packed neuron cell bodies B. Glia

C. Cerebrospinal fluid D. Long axons

Answers: 1C, 2C, 3A, 4A, 5B, 6B, 7A, 8C, 9C.

Being nervous interferes with sexual arousal. Explain why, with reference to the sympathetic and parasympathetic nervous systems.

Thought Question

08202_ch03_ptg01.indd 81 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

82

Module 3.2

The Cerebral Cortex

have, although the elephant brain is more than twice as large (Herculano-Houzel et al., 2015). In Figure 3.19, the investiga- tors arranged the insectivores and primates from left to right in terms of what percentage of their brain was devoted to the forebrain, including the cerebral cortex (Clark, Mitra, & Wang, 2001). They also inserted tree shrews, a species often consid- ered intermediate between insectivores and primates. Note that as the proportion devoted to the forebrain increases, the relative sizes of the midbrain and medulla decrease. That is, humans and other primates have a larger cerebral cortex than other species do, in proportion to the rest of the brain.

Curiously, the cerebellum occupies a nearly constant percentage—about 10 to 14 percent of the brain in most spe- cies (Herculano-Houzel et al., 2015). Most species have about four (mostly tiny) neurons in the cerebellum for every one in the cerebral cortex (Herculano-Houzel, 2011). Why? Good question. Elephants, however, have a much larger number of neurons in the cerebellum, proportional to the rest of the brain (Herculano-Houzel et al., 2015). Why? Another good question.

Organization of the Cerebral Cortex The microscopic structure of the cells of the cerebral cortex varies from one cortical area to another, as does the density of neurons per volume (Collins, 2011). Much research has

The most prominent part of the mammalian brain is the cerebral cortex. The cells on the outer surface of the cere- bral cortex are gray matter, and their axons extending inward are white matter (see Figure 3.13a). Neurons in each hemi- sphere communicate with neurons in the corresponding part of the other hemisphere through two bundles of axons, the corpus callosum (see Figures 3.10, 3.11, and 3.13) and the smaller anterior commissure (see Figure 3.13). Several other commissures (pathways across the midline) link subcortical structures.

The basic organization of the cerebral cortex is remark- ably similar across vertebrate species (Harris & Shepherd, 2015). The visual cortex is in the same place, the auditory cortex is in the same place, and so forth. However, brains vary enormously in size. The largest mammalian brains are 100,000 times larger than the smallest ones (Herculano- Houzel, 2011).

If we compare mammalian species, we see differences in the size of the cerebral cortex and the degree of folding (see Figure 3.18). Compared to other mammals of comparable size, the primates—monkeys, apes, and humans—have a larger cerebral cortex, more folding, and more neurons per unit of volume (Herculano-Houzel, 2011). Larger animals, such as elephants, have larger brain size but also larger neurons and fewer neurons per unit of volume. Humans have almost three times as many neurons in the cerebral cortex as elephants

Figure 3.18 Comparison of mammalian brains All mammals have the same brain subareas in the same locations. (Source: From the University of Wisconsin-Madison Comparative Mammalian Brain Collection, Wally Welker, Curator. Project supported by the National Science Foundation)

08202_ch03_ptg01.indd 82 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.2 The Cerebral Cortex 83

been directed toward understanding the relationship between structure and function.

In humans and most other mammals, the cerebral cor- tex contains up to six distinct laminae, layers of cell bodies that are parallel to the surface of the cortex and separated from each other by layers of fibers (see Figure 3.20). The

laminae vary in thickness and prominence from one part of the cortex to another, and a given lamina may be absent from certain areas. Lamina V, which sends long axons to the spinal cord and other distant areas, is thickest in the mo- tor cortex, which has the greatest control of the muscles. Lamina IV, which receives axons from the sensory nuclei of the thalamus, is prominent in the sensory areas of the cortex (visual, auditory, and somatosensory) but absent from the motor cortex.

The cells of the cortex are also organized into columns of cells perpendicular to the laminae. Figure 3.21 illustrates the idea of columns, although in nature they are not so straight. The cells within a given column have similar prop- erties to one another. For example, if one cell in a column re- sponds to touch on the palm of the left hand, then the other cells in that column do, too. If one cell responds to a hori- zontal pattern of light at a particular location, then other cells in the column respond to the same pattern in nearby locations.

We now turn to specific parts of the cortex. Research- ers make fine distinctions among areas of the cerebral cortex based on the structure and function of cells. For con- venience, we group these areas into four lobes named for the skull bones that lie over them: occipital, parietal, temporal, and frontal.

0.8

Forebrain other than thalamus and hypothalamus

Fr ac

ti o

n o

f to

ta l b

ra in

1

0.6

Insectivores Primates

Tr ee

s h

re w

s 0.4

0.2

0

Thalamus and hypothalamus

Midbrain

Medulla

Cerebellum

Figure 3.19 Relative sizes of five brain components in insecti- vores and primates The forebrain composes a larger percentage of primate than insectivore brains. Note also the nearly constant fraction devoted to the cerebellum. (Source: Figure 1, p. 189, from “Scalable architecture in mammalian brains,” by D. A. Clark, P. P. Mitra, & S. S-H. Wang, 2001, Nature, 411, pp. 189–193. Reprinted with permission from Nature. Copyright © 2001 Macmillan Magazine Limited.)

Cells

I

II

Fibers

III

V

Vla

Vlb

IV

Molecular layer

External granular layer

Pyramidal cell layer

Inner pyramidal layer

Multiform layer

Internal granular layer

Mostly dendrites and long axons

Laminae Composition

Small pyramidal cells

Pyramidal cells

Large pyramidal cells; main source of motor output

Spindle cells

Small cells; main site for incoming sensory information

Figure 3.20 The six laminae of the human cerebral cortex (Source: Adapted from Ranson & Clark, 1959)

Surface of cortex

White matter

Figure 3.21 Columns in the cerebral cortex Each column extends through several laminae. Neurons within a given column have similar properties. For example, in the somatosensory cortex, all the neu- rons within a given column respond to stimulation of the same area of skin.

08202_ch03_ptg01.indd 83 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

84 CHAPTER 3 Anatomy and Research Methods

but if they have an intact occipital cortex and previous visual ex- perience, they can still imagine visual scenes and can still have visual dreams (Sabo & Kirtley, 1982). In short, the eyes provide the stimulus, and the visual cortex provides the experience.

The Parietal Lobe The parietal lobe lies between the occipital lobe and the central sulcus, a deep groove in the surface of the cortex (see Figure 3.23). The area just posterior to the central sulcus, the postcentral gyrus, or primary somatosensory cortex, receives sensations from touch receptors, muscle-stretch receptors, and joint receptors. Brain surgeons sometimes use only lo- cal anesthesia—that is, anesthetizing the scalp but leaving the brain awake. If during this process they lightly stimulate the postcentral gyrus, people report tingling sensations on the op- posite side of the body.

The postcentral gyrus includes four bands of cells par- allel to the central sulcus. Separate areas along each band receive simultaneous information from different parts of the body, as shown in Figure 3.23a (Nicolelis et al., 1998). Two of the bands receive mostly light-touch information, one receives deep-pressure information, and one receives a combination of both (Kaas, Nelson, Sur, Lin, & Merzenich,

The Occipital Lobe The occipital lobe, at the posterior (caudal) end of the cortex (see Figure 3.22), is the main target for visual information. The posterior pole of the occipital lobe is known as the primary vi- sual cortex, or striate cortex, because of its striped appearance in cross section. Destruction of any part of the striate cortex causes cortical blindness in the related part of the visual field. For example, extensive damage to the striate cortex of the right hemisphere causes blindness in the left visual field (that is, the left side of the world from the viewer’s perspective). A person with cortical blindness has normal eyes and pupillary reflexes, but no conscious visual perception and no visual imagery (not even in dreams). People who suffer eye damage become blind,

Frontal lobe (planning of movements, recent memory, some aspects of emotions)

Precentral gyrus (primary motor cortex)

Central sulcus

Temporal lobe (hearing, advanced visual processing)

Prefrontal cortex

Olfaction

Vision Audition

Movement Somesthesis

(a) (b)

Motor Somesthetic

Visual

Auditory

Occipital lobe (vision)

Olfactory bulb

Postcentral gyrus (primary somatosensory cortex)

Parietal lobe (body sensations)

Figure 3.22 Areas of the human cerebral cortex (a) The four lobes: occipital, parietal, temporal, and frontal. (b) The primary sensory cortex for vision, hearing, and body sensations; the primary motor cortex; and the olfactory bulb, responsible for the sense of smell. (Source for part b: Deacon, 1990)

STOP & CHECK 9. If several neurons of the visual cortex all respond best when

the retina is exposed to horizontal lines of light, then those neurons are probably in the same _____.

ANSWER

9. column

08202_ch03_ptg01.indd 84 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.2 The Cerebral Cortex 85

1979). In effect, the postcentral gyrus represents the body four times.

Information about touch and body location is important not only for its own sake but also for interpreting visual and auditory information. For example, if you see something in the upper-left portion of the visual field, your brain needs to know which direction your eyes are turned, the position of your head, and the tilt of your body before it can determine the lo- cation of whatever you see. The parietal lobe monitors all the information about eye, head, and body positions and passes it on to brain areas that control movement. The parietal lobe is essential not only for spatial information but also numerical information (Hubbard, Piazza, Pinel, & Dehaene, 2005). That overlap makes sense when you consider all the ways in which numbers relate to space—including the fact that we initially use our fingers to count.

The Temporal Lobe The temporal lobe is the lateral portion of each hemi- sphere, near the temples (see Figure 3.22). It is the primary cortical target for auditory information. The human tem- poral lobe—in most cases, the left temporal lobe—is essen- tial for understanding spoken language. The temporal lobe also contributes to complex aspects of vision, including perception of movement and recognition of faces. A tumor in the temporal lobe may give rise to elaborate auditory or visual hallucinations, whereas a tumor in the occipital lobe

ordinarily evokes only simple sensations, such as flashes of light. When psychiatric patients report hallucinations, brain scans detect much activity in the temporal lobes (Dierks et al., 1999).

The temporal lobes are also important for emotional and motivational behaviors. Temporal lobe damage can lead to a set of behaviors known as the Klüver-Bucy syndrome (named for the investigators who first described it). Previously wild and aggressive monkeys fail to display normal fears and anxieties after temporal lobe damage (Klüver & Bucy, 1939). They put almost anything they find into their mouths and at- tempt to pick up snakes and lighted matches (which intact monkeys consistently avoid). Interpreting this behavior is dif- ficult. For example, a monkey might handle a snake because it is no longer afraid (an emotional change) or because it no longer recognizes what a snake is (a cognitive change). We ex- plore these issues in the chapter on emotion.

The Frontal Lobe The frontal lobe, containing the primary motor cortex and the prefrontal cortex, extends from the central sulcus to the anterior limit of the brain (see Figure 3.22). The posterior por- tion of the frontal lobe, the precentral gyrus, is specialized for the control of fine movements, such as moving a finger. Separate areas are responsible for different parts of the body, mostly on the contralateral (opposite) side but also with slight control of the ipsilateral (same) side. Figure 3.23b shows the

(a) Somatosensory cortex

Precentral gyrus (primary motor cortex)

Postcentral gyrus (primary somatosensory cortex)

(b) Motor cortex

H ip

Knee

Trunk

Shoulder

ArmElbowWristHandFingers ThumbNeckBrowEye

Face

Lips

Jaw

Tongu e

Swa llow

ing

Intr a-a

bdo min

alPhar ynx

Tongu e

Genitals

Jaw H

ip

Toes

Leg Gums Teeth

Lips

Face

Nose

Eye

Thum b

Fingers

Hand Forearm

Elbow Arm

H ead

N eck

Trunk

Figure 3.23 Approximate representation of sensory and motor information in the cortex (a) Each location in the somatosensory cortex represents sensation from a different body part. (b) Each location in the motor cortex regulates movement of a different body part. (Source: Based on Penfield & Rasmussen, 1950)

08202_ch03_ptg01.indd 85 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

86 CHAPTER 3 Anatomy and Research Methods

The Rise and Fall of Prefrontal Lobotomiestraditional map of the precentral gyrus, also known as the primary motor cortex. No area in the motor cortex controls just a single muscle. If two muscles usually move together, such as the muscles controlling your little finger and your ring finger, then the brain areas that control one of them largely overlap those that control the other one (Ejaz, Hamada, & Diedrichsen, 2015).

The most anterior portion of the frontal lobe is the prefrontal cortex. In general, species with a larger cere- bral cortex devote a larger percentage of it to the prefrontal cortex (see Figure 3.24). For example, it forms a larger portion of the cortex in humans and the great apes than in other spe- cies (Semendeferi, Lu, Schenker, & Damasio, 2002). Neurons in the prefrontal cortex have huge numbers of synapses and integrate an enormous amount of information.

Squirrel monkey Cat Rhesus monkey

Dog Chimp Human

Figure 3.24 Species differ- ences in prefrontal cortex Note that the prefrontal cortex (blue area) constitutes a larger proportion of the human brain than of these other species. (Source: Based on Fuster, 1989)

STOP & CHECK 10. Which lobe of the cerebral cortex includes the primary audi-

tory cortex? 11. Which lobe of the cerebral cortex includes the primary

somatosensory cortex? 12. Which lobe of the cerebral cortex includes the primary visual

cortex? 13. Which lobe of the cerebral cortex includes the primary

motor cortex?

ANSWERS 10. Temporal lobe 11. Parietal lobe 12. Occipital lobe 13. Frontal lobe

Gaps left by the lobotomy

A horizontal section of the brain of a person who had a prefrontal lobotomy many years earlier. The two holes in the frontal cortex are the visible results of the operation. (Source: Dr. Dana Copeland)

You probably have heard of the infamous procedure known as prefrontal lobotomy—surgical disconnection of the pre- frontal cortex from the rest of the brain. The surgery consisted of damaging the prefrontal cortex or cutting its connections to the rest of the cortex. Lobotomy began with a report that damaging the prefrontal cortex of laboratory primates made them tamer without noticeably impairing their sensations or coordination. A few physicians reasoned loosely (!) that the

08202_ch03_ptg01.indd 86 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.2 The Cerebral Cortex 87

same operation might help people who suffered from severe, untreatable psychiatric disorders.

In the late 1940s and early 1950s, at a time when legal and ethical restraints in medicine were lax, about 40,000 prefron- tal lobotomies were performed in the United States (Shutts, 1982), many of them by Walter Freeman, a medical doctor untrained in surgery. His techniques were crude, even by the standards of the time, using such instruments as an electric drill and a metal pick. He performed many operations in his office or other nonhospital sites. (Freeman carried his equip- ment in his car, which he called his “lobotomobile.”)

At first, Freeman and others limited the technique to people with severe schizophrenia, for which no effective treat- ment was available at the time. Later, Freeman lobotomized people with less serious disorders, including some people whom we would consider normal by today’s standards. After drug therapies became available in the mid-1950s, lobotomies quickly dropped out of favor.

Among the common consequences of prefrontal lobot- omy were apathy, a loss of the ability to plan and take initia- tive, memory disorders, distractibility, and a loss of emotional expressions (Stuss & Benson, 1984). People with prefrontal damage lost their social inhibitions, ignoring the rules of po- lite, civilized conduct. They often acted impulsively because they failed to calculate adequately the probable outcomes of their behaviors.

Functions of the Prefrontal Cortex An analysis of thousands of studies concluded that the pre- frontal cortex has three major regions (de la Vega, Chang, Banich, Wager, & Yarkoni, 2016). The posterior portion is as- sociated mostly with movement. The middle zone pertains to working memory, cognitive control, and emotional reactions. Working memory is the ability to remember recent events, such as where you parked your car or what you were talking about before an interruption. People with damage to the pre- frontal cortex have trouble on the delayed-response task, in which they see or hear something, and then have to respond to it after a delay.

The anterior zone of the prefrontal cortex is important for making decisions, evaluating which of several courses of action is likely to achieve the best outcome. When you decide whether to do something, you consider the difficulty of the ac- tion, the probabilities of success and failure, and how valuable the possible reward would be to you, all things considered. For example, the chance to win a pizza becomes less valuable if you have just finished a meal. An opportunity to win a few extra-credit points is valuable if you think you are on the bor- derline between two grades, but less valuable otherwise. If you have a choice between spending money now and saving it for later, you try to compare the possibility of current pleasure and the possible need for money later. Cells in the prefrontal cortex respond to all these complex factors (Hunt et al., 2012; Wallis, 2012). People with prefrontal cortical damage often make decisions that seem impulsive, because they failed to weigh all the likely pros and cons.

STOP & CHECK 14. What are the functions of the prefrontal cortex?

ANSWER

14. The posterior portion contributes to control of move- ment. The middle portion pertains to working memory, cognitive control, and emotion. The anterior portion compares various types of information for making a decision.

How Do the Parts Work Together? Here is a theoretical issue that researchers hardly even consid- ered before about 1990: How do various brain areas combine to produce a unified experience? When you eat something, you experience the smell in the nose, and the taste and touch on the tongue as a single experience (Stevenson, 2014). If you shake something that makes a noise, you perceive that what you see is also what you feel and what you hear. But how do you do that? Each of the senses activates a different area of the cortex, and those areas have only weak connections with one another.

The question of how various brain areas produce a per- ception of a single object is known as the binding problem, or large-scale integration problem. In an earlier era, researchers thought that various kinds of sensory information converged onto what they called the association areas of the cortex. Their guess was that those areas associate one sensation with another, or current sensations with memories of previous experiences. Later research found that relatively few cells combine one sense with another (Blanke, 2012). Even when they do, they don’t fully answer the question of how we bind sensory information to- gether. For example, certain neurons in the posterior tempo- ral cortex both when you see a chain saw and when you hear the sound it makes, or both when you see a jackhammer and when you hear a jackhammer sound (Man, Kaplan, Damasio, & Meyer, 2012). But surely you weren’t born knowing what sound a chain saw or a jackhammer makes. Somehow those cells had to develop those properties through experience. Similarly, many neurons in the superior colliculus respond to more than one sensory system, but they constantly change their properties based on experience (Stein, Stanford, & Rowland, 2014).

Although researchers cannot fully explain binding, they know what is necessary for it to occur: It occurs if you perceive two sensations as happening at the same time and in approximately the same place. For example, when a skilled ventriloquist says some- thing and makes the dummy’s mouth move at the same time, you perceive the sound as coming from the dummy. As part of this illu- sion, the visual stimulus alters the response of the auditory cortex, so that the sound really does seem to come from the same loca- tion as the dummy’s mouth (Bonath et al., 2007; Bruns, Liebnau, & Röder, 2011). In contrast, if you watch a poorly dubbed foreign- language film, the lips do not move at the same time as the speech, and you perceive that the words did not come from those lips.

Applying these principles, researchers arranged a camera to video someone’s back, and simultaneously sent the pictures to a three-dimensional display mounted to the person’s head,

08202_ch03_ptg01.indd 87 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

88 CHAPTER 3 Anatomy and Research Methods

as in Figure 3.25. Imagine that you are the participant. As you view the video of your back, it appears to be 2 meters in front of you. Then someone strokes your back. You simultaneously feel the touch and see the action that appears to be 2 meters in front. After a while, you start perceiving your body as being 2 meters in front of you! When asked, “please return to your seat,” you walk to a spot displaced from the actual seat, as if you were actually 2 meters forward from your current posi- tion (Lenggenhager, Tadi, Metzinger, & Blanke, 2007).

Suppose you see a light flash once while you hear two beeps. You will sometimes think you saw the light flash twice. If the tone is soft, you may experience the opposite: The tone beeps twice during one flash of light, and you think you heard only one beep. If you saw three flashes of light, you might think you heard three beeps (Andersen, Tiippana, & Sams, 2004). The near simultane- ity of lights and sounds causes you to bind them and perceive an illusion that alters your perception of one or the other. Bind- ing often fails if the displays are flashed very briefly or while the viewer is distracted (Holcombe & Cavanagh, 2001; Lehky, 2000).

Here is another great demonstration (Robertson, 2005). Po- sition yourself parallel to a large mirror, as in Figure 3.26, so that you see your right hand and its reflection in the mirror. Keep your left hand out of sight. Now repeatedly clench and unclench both hands in unison. Wiggle your fingers, touch your thumb to each finger, and so forth, in each case doing the same thing with both hands at the same time. You will continually feel your left hand doing the same thing you see the hand in the mirror doing, which (being the mirror image of your right hand) looks like your left hand. After 2 or 3 minutes, you may start to feel that the hand in the mirror is your own left hand.

In a variant of this procedure, research- ers arranged to touch someone’s real right hand and a rubber hand next to it, both at the same time and in the same way, allowing the person to see both hands. Within minutes, people reported feeling that they had two right hands, in addition to the unseen left hand (Guterstam, Petkova, & Ehrsson, 2011). So, the evidence indicates that we bind two experiences that occur at the same time. Still, the theoretical question remains of exactly how we do so.

Participant Virtual own body

Left

Anterior Right

Posterior

Figure 3.25 Where Am I? As someone stroked the person’s back, a video camera relayed the information so the person could view it, appearing to be a few feet ahead. After a few min- utes, the person felt as if the body were in fact a few feet ahead of where it was. (Source: From “Video ergo sum: Manipulat- ing bodily self-consciousness,” by B. Lenggen- hager, T. Tadi, T. Metzinger, & O. Blanke, 2007, Science, 317, pp. 1096–1099.)

Figure 3.26 An illusion to demonstrate binding Clench and unclench both hands while looking at your right hand and its reflection in the mirror. Keep your left hand out of sight. After a couple of minutes, you may start to experience the hand in the mirror as being your own left hand.

STOP & CHECK 15. What is meant by the binding problem, and what is neces-

sary for binding to occur?

ANSWER

15. The binding problem is the question of how the brain combines activity in different brain areas to produce unified perception and coordinated behavior. Binding requires identifying the location of an object and perceiv- ing sight, sound, and other aspects of a stimulus as being simultaneous. When the sight and sound appear to come from the same location at the same time, we bind them as a single experience.

TRY IT YOURSELF

08202_ch03_ptg01.indd 88 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.2 The Cerebral Cortex 89

Functions of the Cerebral Cortex Module 3.2 In Closing

The cerebral cortex is the largest portion of the human brain, but it is not the entire brain. What is its function? The primary function seems to be one of elaborating sensory information

and organizing sequences of behaviors. Even fish, which have no cerebral cortex, can see, hear, and so forth, but the cerebral cortex enables us to add great complexity to our behavior.

Summary 1. Although brain size varies among mammalian species, the

overall organization is similar. 82 2. The cerebral cortex has six laminae (layers) of neurons.

A given lamina may be absent from certain parts of the cortex. For example, the lamina responsible for sensory input is absent from the motor cortex. The cortex is orga- nized into columns of cells arranged perpendicular to the laminae. 83

3. The occipital lobe of the cortex is primarily responsible for vision. Damage to part of the occipital lobe leads to blindness in part of the visual field. 84

4. The parietal lobe processes body sensations. The postcen- tral gyrus contains four representations of the body. 84

5. The temporal lobe contributes to hearing, complex aspects of vision, and processing of emotional information. 85

6. The frontal lobe includes the precentral gyrus, which controls fine movements. It also includes the prefrontal cortex. 85

7. The prefrontal cortex is important for planning actions, working memory, certain aspects of emotion, and deci- sion making. 87

8. The binding problem is the question of how we con- nect activities in different brain areas, such as sights and sounds. Binding requires perceiving that two aspects of a stimulus (such as sight and sound) occurred at the same place at the same time. 87

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins on page 589.

Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

anterior commissure 82 binding problem 87 central sulcus 84 cerebral cortex 82 columns 83 corpus callosum 82

delayed-response task 87 frontal lobe 85 Klüver-Bucy syndrome 85 laminae 83 occipital lobe 84 parietal lobe 84

postcentral gyrus 84 precentral gyrus 85 prefrontal cortex 86 prefrontal lobotomy 86 primates 82 temporal lobe 85

Module 3.2 End of Module Quiz

1. What is the main way in which mammalian species vary in their cerebral cortex? A. The locations of visual and auditory cortex vary

among species. B. Some mammals have a cerebral cortex and some do not.

C. Brains differ in their size and degree of folding. D. The number of laminae varies from 2 to 12.

When monkeys with Klüver-Bucy syndrome pick up lighted matches and snakes, we do not know whether they are displaying an emotional deficit or an inability to identify the object. What kind of research method might help answer this question?

Thought Question

08202_ch03_ptg01.indd 89 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2. In which of these ways do primates differ from elephants in their cerebral cortex? A. Primates have more neurons per unit volume. B. Primates have a larger volume of cerebral cortex.

C. The average size of neurons is greater in primates. D. The average length of axons is greater in primates.

3. What is the relationship between columns and laminae in the cerebral cortex? A. Each column contains one and only one lamina. B. Each column crosses through one lamina after

another.

C. Some parts of the cortex have columns and others have laminae.

D. A column is just another word for a lamina.

4. Where is the primary visual cortex? A. Temporal lobe B. Frontal lobe

C. Parietal lobe D. Occipital lobe

5. Where is the primary somatosensory visual cortex? A. Temporal lobe B. Frontal lobe

C. Parietal lobe D. Occipital lobe

6. Where is the primary auditory cortex? A. Temporal lobe B. Frontal lobe

C. Parietal lobe D. Occipital lobe

7. Where is the primary motor cortex? A. Temporal lobe B. Frontal lobe

C. Parietal lobe D. Occipital lobe

8. The main functions of the prefrontal cortex include which of the following? A. Perceiving the location of body parts in space B. Providing a pool of immature neurons to replace

those damaged in other brain areas

C. Controlling reflexes D. Working memory and weighing the pros and cons of a

possible action

9. What is the binding problem? A. The difficulty of coordinating the left side of the body

with the right side B. The difficulty of synchronizing output from a popula-

tion of axons

C. The question of how we perceive separate sensations as part of a single object

D. The question of how a bilingual person shifts from one language to another

Answers: 1C, 2A, 3B, 4D, 5C, 6A, 7B, 8D, 9C.

90 CHAPTER 3 Anatomy and Research Methods

08202_ch03_ptg01.indd 90 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

91

Research Methods

researchers often turn to producing carefully localized dam- age in laboratory animals. An ablation is the removal of a brain area, generally with a surgical knife. Because surgical removal is difficult for tiny structures below the surface of the brain, researchers sometimes make a lesion, meaning dam- age, by means of a stereotaxic instrument, a device for the precise placement of electrodes in the brain (see Figure 3.27). By consulting a stereotaxic atlas (map) of a species’ brain, a researcher aims an electrode at the desired position relative to landmarks on the skull. The researcher anesthetizes an animal, drills a small hole in the skull, inserts the electrode (insulated except at the tip), lowers it to the target, and passes an electri- cal current just sufficient to damage that area. For example, researchers have made lesions in parts of the hypothalamus to explore their contributions to eating and drinking. After the death of the animal, someone takes slices of its brain, applies stains, and verifies the actual location of the damage.

Describing the structure of the brain does not advance our knowledge of biological psychology until we discover how it works. Throughout this text, we shall consider many meth- ods of relating the brain’s structure to its function. However, most methods fall into a few categories. This module provides an overview of those categories and the logic behind them:

1. Examine the effects of brain damage. After damage or temporary inactivation, what aspects of behavior are impaired?

2. Examine the effects of stimulating a brain area. Ideally, if damaging some area impairs a behavior, stimulating that area should enhance the behavior.

3. Record brain activity during behavior. We might record changes in brain activity during fighting, sleeping, finding food, solving a problem, or any other behavior.

4. Correlate brain anatomy with behavior. Do people with some unusual behavior also have unusual brains? If so, in what way?

Effects of Brain Damage In 1861, the French neurologist Paul Broca found that a pa- tient who had lost the ability to speak had damage in part of his left frontal cortex. Additional patients with loss of speech also showed damage in and around that area, now known as Broca’s area. Although much more research was necessary to explore the functions of that area, its discovery revolutionized neurology, as many other physicians at the time had doubted that different brain areas had different functions at all.

Since then, researchers have made countless reports of behavioral impairments after brain damage. Brain damage can produce an inability to recognize faces, an inability to perceive motion, a shift of attention to the right side of the world, changes in motivation and emotion, memory impair- ments, and a host of other specialized effects. The implica- tions are deep: If you lose part of your brain, you lose part of your mind.

Many of the most interesting results come from humans with brain damage, but human studies have their limitations. Few people have damage confined to just one brain area, and each person’s pattern of brain damage is unique. Therefore,

Figure 3.27 A stereotaxic instrument for locating brain areas in small animals Using this device, researchers can insert an electrode to stimulate, record from, or damage any point in the brain.

Module 3.3

Ja m

es K

al at

08202_ch03_ptg01.indd 91 9/14/17 3:38 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

92 CHAPTER 3 Anatomy and Research Methods

Effects of Brain Stimulation If brain damage impairs some behavior, stimulation should in- crease it. The old-fashioned way is to insert an electrode into an animal’s brain and deliver brief, mild currents to stimulate one area or another. That method has limited value, because a given area has many types of neurons with varying functions. The electrical current stimulates all of them, as well as passing axons.

A popular approach today is optogenetics, using light to control a limited population of neurons. Development of this method required three steps, each of which would be useless without the others, and each of which seemed almost impos- sible. Despite the enormous reasons for pessimism, Karl Deis- seroth and his colleagues persisted in efforts for years, until the method was ready for wide use in 2009 (Deisseroth, 2015).

Suppose a researcher makes a lesion and reports some behavioral deficit. You might ask, “How do we know the deficit wasn’t caused by anesthetizing the animal, drilling a hole in its skull, and lowering an electrode to this target?” To test this possibility, an experimenter produces a sham lesion in a control group, performing all the same procedures except for passing the electrical current. Any behavioral dif- ference between the two groups must result from the lesion and not the other procedures.

An electric lesion is a crude technique that dam- ages the axons passing through as well as the neu- rons in the area itself. Researchers use this method less often today than in the past. Instead, they might inject a chemical that kills neurons, or disables them temporarily, without harming the passing ax- ons. They can also inject a chemical that disables a particular type of synapse. Another option is the gene-knockout approach that directs a mutation to a gene that regulates one type of cell, transmitter, or receptor.

Transcranial magnetic stimulation (TMS), the application of magnetic stimulation to a portion of the scalp, can stimulate neurons in the area be- low the magnet, if the stimulation is sufficiently brief and mild. With stronger stimulation it inactivates the neurons, producing a “virtual lesion” that out- lasts the magnetic stimulation itself (Dayan, Censor, Buch, Sandrini, & Cohen, 2013). This procedure en- ables researchers to study behavior with some brain area active, then inactive, and then active again. Figure 3.28 shows the apparatus. For example, one study found that after TMS silenced the hand area of the motor cortex, people had trouble with a task of mentally rotating the hand in a picture to imag- ine how it would look from a different angle (Ganis, Keenan, Kosslyn, & Pascual-Leone, 2000). That is, when you imagine seeing your hand from a different angle, you imagine moving it, not just seeing it move.

After any kind of brain damage or inactivation, the problem for psychologists is to specify the exact behavioral deficit. For example, if you damage a brain area and the animal stops eating, you don’t know why. Did it lose its hunger? Its ability to taste food? Its ability to find the food? Its ability to move at all? You would need further behavioral tests to explore the possibilities.

Figure 3.28 Apparatus for magnetic stimulation of a human brain The procedure is known as transcranial magnetic stimulation, or TMS. (BSIP SA/Alamy Stock Photo)

STOP & CHECK 16. What is the difference between a lesion and an

ablation?

ANSWER

16. A lesion is damage to a structure. An ablation is removal of the structure. For example, a blood clot might produce a lesion, whereas surgery could produce an ablation.

08202_ch03_ptg01.indd 92 9/14/17 12:25 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.3 Research Methods 93

of the behavior. We might also use brain recordings for explor- atory purposes: During a given behavior or cognitive activity, which brain areas increase their activity?

With laboratory animals, one method is to insert an elec- trode to record activity from a single neuron. We shall con- sider examples of this method in the chapter on vision. New technologies enable researchers to record from tens to hun- dreds of neurons simultaneously (Luczak, McNaughton, & Harris, 2015).

On rare occasions, researchers insert an electrode into a human neuron to record its activity, when the brain is exposed preliminary to brain surgery. Much more frequently, human research relies on noninvasive methods—that is, recordings from outside the skull. An electroencephalograph (EEG) records electrical activity of the brain through electrodes— ranging from just a few to more than a hundred—attached to the scalp (see Figure 3.29). Electrodes glued to the scalp mea- sure the average activity at any moment for the population of cells under the electrode. The output is then amplified and recorded. An EEG is useful for distinguishing between wake- fulness and various stages of sleep. It can also help with the di- agnosis of epilepsy, although a physician may need to conduct the test repeatedly or test the person under special conditions before seeing the abnormal EEG pattern that is characteristic of epilepsy (Renzel, Baumann, & Poryazova, 2016; Salinsky, Kanter, & Dasheiff, 1987).

The same device used for an EEG can also record brain activity in response to a stimulus, in which case we call the results evoked potentials or evoked responses. Evoked re- sponses are useful for many purposes, including studies of in- fants too young to give verbal answers (Parise & Csibra, 2012).

The first step was to discover or invent a protein that responds to light by producing an electrical current. Certain microbes do produce such proteins, which researchers have found ways to modify. One protein reacts to light by opening a sodium channel, exciting the neuron, and another reacts by opening a chloride channel, producing inhibition. The second step was to develop viruses that insert one of these proteins into a certain type of neuron, or even to just one part of the neuron, such as the axon or the dendrites (Packer, Roska, & Häusser, 2013). The third step was to develop very thin optical fibers that can shine just the right amount of light onto neu- rons in a narrowly targeted brain area.

Using these methods, an investigator can control the ex- citation or inhibition of one type of neuron in a small brain area with millisecond accuracy. Thus, researchers can study the function of given cells in greater detail than ever before. A few physicians have begun applying optogenetics to human patients to try to control narcolepsy (a sleep disorder) and other medical or psychiatric conditions.

The success of optogenetics has inspired related methods that can stimulate particular types of neurons by magnetic fields or by chemical injections (Smith, Bucci, Luikart, & Mahler, 2016; Wheeler et al., 2016). These methods activate larger numbers of neurons at one time than optogenetic methods do.

Karl Deisseroth [A] final point [is] the essential value of exploratory basic science research. . . . It seems unlikely that the initial experi- ments described here would have been fundable, as such, by typical grant pro- grams focusing on a disease state. . . . [T]he advances brought by microbial opsin-based optogenetics may inform the pathophysiology of neurological and

psychiatric disease states . . . in addition to the broad basic science discoveries. (Deisseroth, 2015, p. 1224)

STOP & CHECK 17. What determines whether optogenetic stimula-

tion excites a neuron or inhibits it?

ANSWER

17. Optogenetic stimulation activates a light-sensitive protein. If that protein opens a sodium channel in the membrane, the result is excitation of the neuron. If it opens a chloride channel, the result is inhibition.

Recording Brain Activity Suppose damage to some brain area impairs a behavior (eat- ing, for example) and stimulation of that area increases the behavior. We can strengthen the conclusion by showing that the area increases its activity during spontaneous occurrences

Figure 3.29 Electroencephalography An electroencephalograph records the overall activity of neurons under various electrodes attached to the scalp.

ag e

Fo to

st oc

k/ Al

am y

St oc

k Ph

ot o

C. F

la ni

ga n/

Fi lm

M ag

ic /G

et ty

Im ag

es

08202_ch03_ptg01.indd 93 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

94 CHAPTER 3 Anatomy and Research Methods

collides with a nearby electron, emitting two gamma rays in opposite directions. The person’s head is surrounded by a set of gamma ray detectors (see Figure 3.31). When two detec- tors record gamma rays at the same time, they identify a spot halfway between those detectors as the point of origin of the gamma rays. A computer uses this information to determine how many gamma rays came from each spot in the brain and therefore how much of the radioactive chemical is located in each area (Phelps & Mazziotta, 1985). The areas with the most radioactivity are presumably the ones with the most ac- tive neurons.

PET scans use radioactive chemicals with a short half-life, made in a device called a cyclotron. Because cyclotrons are expensive, PET is available only at research hospitals. Further- more, PET requires exposing the brain to radioactivity, a poten- tial hazard. For most purposes, researchers have replaced PET scans with functional magnetic resonance imaging (fMRI), which is less expensive and less risky. Standard MRI scans re- cord the energy released by water molecules after removal of a magnetic field. (We consider more details about this method later.) An fMRI is a modified version of MRI based on hemo- globin (the blood protein that binds oxygen) instead of water (Detre & Floyd, 2001). Hemoglobin with oxygen reacts to a magnetic field differently from hemoglobin without oxygen. Researchers set the fMRI scanner to detect the amount of hemoglobin with oxygen (Viswanathan & Freeman, 2007). When a brain area becomes more active, two relevant changes occur: First, blood vessels dilate to allow more blood flow to

A magnetoencephalograph (MEG) is similar, but in- stead of measuring electrical activity, it measures the faint magnetic fields generated by brain activity (Hari, 1994). Like EEG, an MEG recording identifies the approximate location of activity to within about a centimeter. An MEG has excellent temporal resolution, showing changes from one millisecond to the next.

Figure 3.30 shows an MEG record of brain responses to a brief tone heard in the right ear. The diagram represents a human head as viewed from above, with the nose at the top (Hari, 1994). Researchers using an MEG can identify the times at which various brain areas respond and thereby trace a wave of brain activity from its point of origin to the other areas that process it (Salmelin, Hari, Lounasmaa, & Sams, 1994).

Positron-emission tomography (PET) provides a high- resolution image of activity in a living brain by recording the emission of radioactivity from injected chemicals. First, the person receives an injection of glucose or some other chemi- cal containing radioactive atoms. Because the most active brain areas increase their use of glucose, tracking the levels of glucose tells us something about brain activity. When a ra- dioactive atom decays, it releases a positron that immediately

200 fT/cm

200 ms

Figure 3.30 A result of magnetoencephalography, showing responses to a tone in the right ear The nose is shown at the top. For each spot on the diagram, the display shows the changing response over a few hundred milliseconds following the tone. (Note calibration at lower right.) The tone evoked responses in many areas, with the largest responses in the temporal cortex, especially on the left side. (Source: Reprinted from Neuroscience: From the Molecular to the Cognitive, by R. Hari, 1994, p. 165, with kind permission from Elsevier Science—NL, Sara Burgerhartstraat 25, 1055 KV Amsterdam, The Netherlands.)

Figure 3.31 A PET scanner A person engages in a cognitive task while attached to this apparatus that records which areas of the brain become more active and by how much.

M ic

ha el

E va

ns /G

et ty

Im ag

es

08202_ch03_ptg01.indd 94 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.3 Research Methods 95

reading and during a comparison task and then subtract the brain activity during the comparison task to determine which areas are more active during reading. As a comparison task, for example, researchers might ask you to look at a page writ- ten in a language you do not understand. That task would activate visual areas just as the reading task did, but it pre- sumably would not activate the language areas of your brain. Figure 3.33 illustrates the idea.

The fMRI method produces spectacular pictures, but difficulties arise when we interpret the results (Rugg & Thompson-Schill, 2013). Researchers often examine the mean results for a group of participants, ignoring important differ- ences among individuals (Finn et al., 2015). More importantly, researchers sometimes make the mistake of assuming that if an area is active during some psychological process, then its activity always indicates that process. For example, certain types of reward activate a brain area called the dorsal striatum (part of the basal ganglia). If the dorsal striatum becomes ac- tive while people are doing something, does that activity mean that people find the activity rewarding? Not necessarily, un- less we know that the dorsal striatum is active only as a func- tion of reward (Poldrack, 2006). Most brain areas participate in several functions.

The best way to test our understanding of fMRI results is to see whether the inference we make from a recording matches what someone is actually doing or thinking. That is, we should be able to use it to read someone’s mind, to a lim- ited degree. A few examples of success have been reported. For example, researchers used fMRI to record brain activity from people as they were falling asleep. People typically have

the area. Second, as the brain area uses oxygen, the percentage of hemoglobin with oxygen decreases. An fMRI scan responds to both of these processes (Sirotin, Hillman, Bordier, & Das, 2009). Figure 3.32 shows an example.

An fMRI while you were, for example, reading would mean nothing without a comparison to something else. Researchers would record your brain activity while you were

Figure 3.32 An fMRI scan of a human brain An fMRI produces an image with a spatial resolution of 1 to 2 mm and temporal resolution of about a second. (Source: Simon Fraser, Dept. of Neuroradiology, Newcastle General Hosptial/Science Photo Library/Science Source)

22

20

21 26

24 20

23 21

21

19

19

22 22

22

23

21

21

21

22 21

2120

22 20

22 22

20

21

23 21

21

22

21

22

+1

–1

–1+5

–1

+2 0

+1 –1

+1

–2

–1 +1

–2

0

+2

–1

DifferenceComparison taskExperimental task

Figure 3.33 Subtraction for a brain scan procedure Numbers on the brain at the left show hypothetical levels of arousal during some task, measured in arbitrary units. The brain at the center shows activity during the same brain areas during a comparison task. The brain at the right shows the differences. The highlighted area shows the largest difference. In actual data, the largest increases in activity would be one-tenth or two-tenths of a percent.

Dr . D

an a

Co pe

la nd

08202_ch03_ptg01.indd 95 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

96 CHAPTER 3 Anatomy and Research Methods

Correlating Brain Anatomy with Behavior One of the first ways ever used for studying brain function sounds easy: Find someone with unusual behavior and then look for unusual features of the brain. In the 1800s, Franz Gall observed some people with excellent verbal memories who had protruding eyes. He inferred that verbal memory de- pended on brain areas behind the eyes that had pushed the eyes forward. Gall then examined the skulls of people with other talents or personalities. He assumed that bulges and depressions on their skull corresponded to the brain areas be- low them. His process of relating skull anatomy to behavior is known as phrenology. One of his followers made the phreno- logical map in Figure 3.34.

Phrenology was invalid for many reasons. One problem was that skull shape does not match brain anatomy. The skull is thicker in some places than others and thicker in some people than others. Another problem was that they based many conclusions on small numbers of people who appar- ently shared some personality aspect and a similar bump on the skull.

Today, researchers examine detailed brain anatomy in liv- ing people. One method is computerized axial tomography, better known as a CT or CAT scan (Andreasen, 1988). A physician injects a dye into the blood to increase contrast in the image, and then places the person’s head into a CT scanner like the one shown in Figure 3.35a. X-rays are passed through the head and recorded by detectors on the opposite side. The CT scanner is rotated slowly until a measurement has been taken at each angle over 180 degrees. From the measurements, a computer constructs images of the brain. Figure 3.35b is an example. CT scans help detect tumors and other structural abnormalities.

Another method is magnetic resonance imaging (MRI) (Warach, 1995), based on the fact that any atom with an odd- numbered atomic weight, such as hydrogen, has an axis of rotation. An MRI device applies a powerful magnetic field (about 25,000 times the magnetic field of the Earth) to align all the axes of rotation, and then tilts them with a brief ra- dio frequency field. When the radio frequency field is turned off, the atomic nuclei release electromagnetic energy as they relax and return to their original axis. By measuring that en- ergy, MRI devices form an image of the brain, such as the one in Figure 3.36. MRI shows anatomical details smaller

some visual imagery at that time, but not quite a dream. The researchers repeatedly awakened these people, asked them to report their visual images, and compared the reports to the fMRI data. After enough repetitions, they were able to use the fMRI data to predict approximately what imagery the people were about to report (Horikawa, Tamaki, Miyawaki, & Kamitani, 2013). In another study, people learned to use a mental code to spell out words. For example, if you waited 10 seconds and then performed mental math calculations for 20 seconds, that combination meant the letter M. Using an fMRI, researchers could identify the word the person wanted to express (Sorger, Reithler, Dahmen, & Goebel, 2012). Don’t worry. No one could use this method to read your mind without your enthusiastic cooperation. Researchers need to calibrate the equipment over many trials to know what your particular fMRI results mean. The main point is that under limited circumstances, we can indeed use an fMRI to infer someone’s psychological processes.

Most fMRI studies have concentrated on identifying the functions of brain areas, rather than contributing to our un- derstanding of psychology (Coltheart, 2013). Nevertheless, fMRI does sometimes provide valuable psychological infor- mation. Here are a few examples:

1. Many people in pain report decreased pain after they receive a placebo (a drug with no pharmacological activ- ity). Do they really feel less pain, or are they just saying so? Studies with fMRI show that brain areas responsible for pain really do decrease their response (Wager & Atlas, 2013).

2. Psychologists find it useful to distinguish several types of memory, such as implicit versus explicit and declara- tive versus procedural. One view is that any given task falls into one category or the other. In that case, we might expect that one type of memory activates one set of brain areas and another type activates other areas. An alternative view is that we process memory with several components, some of which pertain mostly to one type of memory and others that pertain mostly to a different type of memory. The fMRI data fit that view better: Most memory tasks activate a wide array of brain areas to vary- ing degrees (Cabeza & Moscovitch, 2013).

3. When you are just sitting there with nothing expected of you, is your brain really doing nothing? Definitely not. You do “mind wandering,” which activates diffuse areas called the brain’s default system (Corballis, 2012b; Mason et al., 2007). These same areas are also active when people recall past experiences or imagine future experiences (Immordino-Yang, Christodoulou, & Singh, 2012).

STOP & CHECK 18. What does fMRI measure? 19. Suppose someone demonstrates that a particular brain area

becomes active when people are listening to music. When that area becomes active later, what if anything can we conclude?

ANSWERS

18. It detects an increase in blood flow to a brain area immediately after an increase in brain activity, and it also detects a slightly slower increase in the percentage of hemoglobin lacking oxygen. 19. Without further evi- dence, we should not draw any conclusion. Perhaps the person is listening to music or imagining music, but this area may perform functions other than music. We would need to test how accurately we can use the fMRI data to predict what the person is doing or imagining.

08202_ch03_ptg01.indd 96 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.3 Research Methods 97

Propensities ? Desire to live • Alimentiveness 1 Destructiveness 2 Amativeness 3 Philoprogenitiveness 4 Adhesiveness 5 Inhabitiveness 6 Combativeness 7 Secretiveness 8 Acquisitiveness 9 Constructiveness

Sentiments 10 Cautiousness 11 Approbativeness 12 Self-esteem 13 Benevolence 14 Reverence 15 Firmness 16 Conscientiousness 17 Hope 18 Marvelousness 19 Ideality 20 Mirthfulness 21 Imitation

Perceptive 22 Individuality 23 Configuration 24 Size 25 Weight and resistance 26 Coloring 27 Locality 28 Order 29 Calculation 30 Eventuality 31 Time 32 Tune 33 Language

Reflective 34 Comparison 35 Causality

Affective Faculties Intellectual Faculties

Figure 3.34 A phrenologist’s map of the brain Neuroscientists today also try to localize functions in the brain, but they use more careful methods and they study such functions as vision and hearing, not “secretiveness” and “marvelousness.” (Source: From Spurzheim, 1908)

(a) (b)

X -r

ay so

ur ce

X- ra

y de

te ct

or

Figure 3.35 CT scanner (a) A person’s head is placed into the device and then a rapidly rotating source sends X-rays through the head while detectors on the opposite side make pho- tographs. A computer then constructs an image of the brain. (b) A view of a normal human brain generated by computerized axial tomography (CT scanning). (Source: Dan McCoy/Rainbow)

than a millimeter in diameter. One drawback is that the per- son must lie motionless in a confining, noisy apparatus. The procedure is usually not suitable for children or anyone who fears enclosed places.

Researchers using these methods sometimes find that a particular brain area is enlarged in certain types of people. For example, it has been reported that people with a larger amygdala tend to have more social contacts (Bickart, Wright,

08202_ch03_ptg01.indd 97 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

98 CHAPTER 3 Anatomy and Research Methods

Dautoff, Dickerson, & Barrett, 2011). Personality traits such as extraversion, neuroticism, and conscientiousness corre- late significantly with the size of certain areas of the cortex (De Young et al., 2010). Certain aspects of executive function (cognitive control of behavior) correlate with the amount of white matter connecting three parts of the prefrontal cor- tex to other brain areas (Smolker, Depue, Reineberg, Orr, & Banich, 2015). Adolescents with a large vocabulary tend to have more than average gray matter in part of the parietal lobe (Lee et al., 2007).

However, we need to examine correlations like these with caution. Many of the studies have used small, possibly unrep- resentative samples, and many reports relating brain anatomy to behavior have been hard to replicate (Boekel et al., 2015). Because of the tendency to publish what appear to be positive results and ignore negative results, conclusions based on small samples are sometimes wrong, or at least overstatements of small effects. Table 3.5 summarizes various methods of study- ing brain-behavior relationships.

Figure 3.36 A view of a living brain generated by magnetic resonance imaging Any atom with an odd-numbered atomic weight, such as hydrogen, has an inherent rotation. An outside magnetic field can align the axes of rotation. A radio frequency field can then make all these atoms move like tiny gyros. When the radio frequency field is turned off, the atomic nuclei release electromagnetic energy as they relax. By measuring that energy, we can obtain an image of a structure such as the brain without damaging it. (Source: Will & Deni McIntyre/Science Source)

Table 3.5 Methods of Studying Brain-Behavior Relationships

Examine Effects of Brain Damage Study victims of stroke, etc. Used with humans; each person has different damage Lesion Controlled damage in laboratory animals Ablation Removal of a brain area Gene knockout Affects wherever that gene is active (e.g., a receptor) Transcranial magnetic stimulation Intense application temporarily inactivates a brain area

Examine Effects of Stimulating a Brain Area Stimulating electrodes Invasive; used with laboratory animals, rarely with humans Optogenetic stimulation Mostly with laboratory animals; can indicate function of a particular type of cell

Record Brain Activity during Behavior Record from electrodes in brain Invasive; used with laboratory animals, rarely with humans Electroencephalograph (EEG) Records from scalp; measures changes by milliseconds, but with low resolution of location of the signal Evoked potentials Similar to EEG but in response to stimuli Magnetoencephalograph (MEG) Similar to EEG but measures magnetic fields Positron emission tomography (PET) Measures changes over both time and location but requires exposing brain to radiation

Functional magnetic resonance imaging (fMRI)

Measures changes over about 1 second, identifies location within 1 to 2 mm

Correlate Brain Anatomy with Behavior Computerized axial tomography (CAT) Maps brain areas, but requires exposure to X-rays Magnetic resonance imaging (MRI) Maps brain areas in detail, using magnetic fields

STOP & CHECK 20. What are the similarities and differences between MRI and

fMRI?

ANSWER

20. Both methods measure the responses of brain chemicals to a magnetic field. MRI shows the anatomy of the brain. The fMRI method shows which brain areas are most active at the moment.

08202_ch03_ptg01.indd 98 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

3.3 Research Methods 99

Research Methods and Progress

In any scientific field—indeed, any field of knowledge— progress almost always depends on improvements in measurement. In astronomy, for example, improvements in both ground-based and satellite-based astronomy have estab- lished conclusions that even science-fiction writers couldn’t have imagined a few decades ago. Weather prediction is vastly

more accurate than it used to be. Similarly, our understanding of the brain has advanced greatly because of the introduction of PET scans, fMRI, optogenetics, and other modern technol- ogies. Future progress will continue to depend on improve- ments in our methods of measurement.

Module 3.3 In Closing

Summary 1. One way to study brain-behavior relationships is to exam-

ine the effects of brain damage. If someone suffers a loss after some kind of brain damage, then that area contrib- utes in some way to that behavior. 91

2. If stimulation of a brain area increases some behavior, presumably that area contributes to the behavior. Opto- genetics is a relatively new method that enables research- ers to stimulate a particular type of cell at a particular moment. 92

3. Researchers try to understand brain-behavior relation- ships by recording activity in various brain areas during a given behavior. Many methods are available, including EEG, MEG, PET, and fMRI. 93

4. People who differ with regard to some behavior some- times also differ with regard to their brain anatomy. MRI is one modern method of imaging a living brain. However, correlations between behavior and anatomy should be evaluated cautiously until they have been replicated. 96

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

ablation 91 computerized axial tomography

(CT or CAT scan) 96 electroencephalograph (EEG)

93 lesion evoked potentials or evoked

responses 93

functional magnetic resonance imaging (fMRI) 94

lesion 91 magnetic resonance imaging (MRI)

96 magnetoencephalograph (MEG) 94 optogenetics 92

phrenology 96 positron-emission tomography

(PET) 94 stereotaxic instrument 91 transcranial magnetic stimulation

(TMS) 92

Module 3.3 End of Module Quiz

1. The first demonstration that a brain area controlled a particular aspect of behavior pertained to which type of behavior? A. Criminal activity B. Language

C. Hunger D. Sexual arousal

2. Which of the following is a method to inactivate a brain area temporarily? A. Stereotaxic instrument B. Transcranial magnetic stimulation

C. Lesion D. Ablation

Certain unusual aspects of brain structure were observed in the brain of Albert Einstein (Falk, Lepore, & Noe, 2013). One interpretation is that he was born with certain specialized brain features that encouraged his scientific and intellectual abilities. What is an alternative interpretation?

Thought Question

08202_ch03_ptg01.indd 99 9/15/17 7:41 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

100 CHAPTER 3 Anatomy and Research Methods

3. What does the optogenetic technique enable researchers to test? A. The evolution of brain anatomy B. The functions of a particular type of neuron

C. The relationship between brain anatomy and intelligence

D. How people bind one type of sensation with another

4. EEG and MEG are advantageous for measuring which of the following? A. The functions of different neurotransmitters B. The brain areas receiving the greatest amount of

blood flow during some activity

C. Effects of hormones on behavior D. Changes in brain activity over very short periods

of time

5. Which of these is the first step for positron-emission tomography (PET)? A. Inject a radioactive chemical into the blood. B. Insert an electrode into the brain.

C. Subject the brain to a strong magnetic field. D. Attach light-sensitive proteins to a virus.

6. What is one advantage of fMRI over PET scans? A. The fMRI technique measures activity on a millisecond-

by-millisecond basis. B. The fMRI technique does not require inserting an

electrode into the head.

C. The fMRI technique does not expose the brain to radioactivity.

D. The fMRI technique identifies which brain areas are most active at a given moment.

7. Comparing MRI and fMRI, which one(s) measure the responses of brain chemicals to a magnetic field? Which one(s) show which brain areas are most active at the moment? A. Only MRI measures responses of brain chemicals to a

magnetic field. Both show which brain areas are most active at the moment.

B. Only fMRI measures responses of brain chemicals to a magnetic field. Only MRI shows which brain areas are most active at the moment.

C. Both measure responses of brain chemicals to a mag- netic field. Only fMRI shows which brain areas are most active at the moment.

D. Both measure responses of brain chemicals to a magnetic field. Both show which brain areas are most active at the moment.

8. Why should we be cautious when interpreting many of the reports linking certain aspects of brain anatomy to behavior? A. Many published studies used inaccurate measures of

brain anatomy. B. Many published studies studied people varying widely

in their ages.

C. Many published studies were based on small samples.

D. Many published studies used unethical methods.

Answers: 1B, 2B, 3B, 4D, 5A, 6C, 7C, 8C.

Burrell, B. (2004). Postcards from the brain museum. New York: Broadway Books. Fascinating history of the attempts to collect brains of successful people and try to relate their brain anatomy to their success.

Klawans, H. L. (1988). Toscanini’s fumble and other tales of clinical neurology. Chicago: Contemporary Books. Descrip- tion of illustrative cases of brain damage and their behavioral consequences.

Suggestions for Further Reading

08202_ch03_ptg01.indd 100 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch03_ptg01.indd 101 9/14/17 12:26 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch04_ptg01.indd 102 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

103

Chapter 4

103

“Some assembly required.” Have you ever bought a package with those ominous words? Sometimes, all you have to do is attach a few parts, but other times, you face page after page of barely comprehensible instructions.

The human nervous system requires an enormous amount of assembly,

and the instructions are different from those for the objects we assemble from

a kit. Instead of “Put this piece here and that piece there,” the instructions are,

“Put these axons here and those dendrites there, and then wait to see what

happens. Keep the connections that work the best and discard the others.

Continue making new connections and keeping only the successful ones.”

Therefore, we say that the brain’s anatomy is plastic. It changes rapidly in

early development and continues changing throughout life.

Module 4.1

Genetics and Evolution of Behavior Mendelian Genetics Heredity and Environment The Evolution of Behavior In Closing: Genes and Behavior

Module 4.2

Development of the Brain Maturation of the Vertebrate Brain Pathfinding by Axons Determinants of Neuronal Survival The Vulnerable Developing Brain Differentiation of the Cortex Fine-Tuning by Experience Brain Development and Behavioral

Development In Closing: Brain Development

Module 4.3

Plasticity after Brain Damage Brain Damage and Short-Term Recovery Later Mechanisms of Recovery In Closing: Brain Damage and Recovery

After studying this chapter, you should be able to:

1. Distinguish between genetic and epigenetic influences on development.

2. Describe the types of evidence researchers use to infer heritability.

3. Give examples of evolutionary explanations in psychology.

4. Discuss the formation of new neurons in a mature brain.

5. Describe the evidence showing that axons seek specific targets.

6. Define apoptosis, and explain how neurotrophins prevent it.

7. Cite examples of how experiences alter brain anatomy and function.

8. Evaluate possible explanations of risky behavior in adolescents.

9. List several possible mechanisms of recovery after brain damage.

10. Explain how remodeling in the cerebral cortex produces the phantom limb experience.

Genetics, Evolution, Development, and Plasticity

Chapter Outline

Learning Objectives

Opposite:

An enormous amount of brain development occurs by the time a person is 1 year old. (Source: Dr. Dana Copeland)

08202_ch04_ptg01.indd 103 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

104

Module 4.1

Genetics and Evolution of Behavior

Everything you do depends on both your genes and your environment. Consider facial expressions. A contribution of the environment is obvious: You smile more when the world is treating you well and frown when things are going badly. Does heredity influence your facial expressions? Researchers examined facial expressions of people who were born blind and therefore could not have learned to imitate facial expres- sions. The facial expressions of the people born blind were remarkably similar to those of their sighted relatives, as shown in Figure 4.1 (Peleg et al., 2006). These results suggest a role for genetics in controlling facial expressions.

Controversies arise when we move beyond the general- ization that both heredity and environment are important. For example, do differences in human intelligence depend mostly on genetic differences, mostly on environmental influences, or both equally? Similar questions arise for sexual orientation, alcoholism, weight gain, mental illness, and much else that interests psychologists and the general public. This module should help you understand these issues, even when the an- swer remains uncertain. We begin with a review of genetics, a field that has become more and more complicated as research has progressed.

Mendelian Genetics Prior to the work of Gregor Mendel, a late 19th-century monk, scientists thought that inheritance was a blending process in which the properties of the sperm and the egg simply mixed, like two colors of paint.

Mendel demonstrated that inheritance occurs through genes, units of heredity that maintain their structural iden- tity from one generation to another. As a rule, genes come in pairs because they are aligned along chromosomes (strands of genes) that also come in pairs. The exception to this rule is that a male mammal has unpaired X and Y chromosomes with different genes. Classically, a gene has been defined as part of a chromosome composed of the double-stranded molecule deoxyribonucleic acid (DNA). However, many genes do not have the discrete locations we once imagined (Bird, 2007). Sometimes several genes overlap on a stretch of chromo- some. Sometimes a genetic outcome depends on parts of two or more chromosomes. In many cases, part of a chromosome

Figure 4.1 Facial expressions by people born blind (left) and their sighted relatives (right) The similarities imply a genetic contribution to facial expressions.

Co py

rig ht

(2 00

6) N

at io

na l A

ca de

m y

of S

ci en

ce s,

U .S

.A .

08202_ch04_ptg01.indd 104 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 105

alters the expression of another part without coding for any protein of its own.

A strand of DNA serves as a template (model) for the syn- thesis of ribonucleic acid (RNA) molecules, a single-strand chemical. One type of RNA molecule—messenger RNA— serves as a template for the synthesis of protein molecules. DNA contains four “bases”—adenine, guanine, cytosine, and thymine. The order of those bases determines the order of cor- responding bases along an RNA molecule—adenine, guanine, cytosine, and uracil. The order of bases along an RNA mole- cule in turn determines the order of amino acids that compose a protein. For example, if three RNA bases are in the order cy- tosine, adenine, and guanine, then the protein adds the amino acid glutamine. If the next three RNA bases are uracil, guanine, and guanine, the next amino acid on the protein is tryptophan. Any protein consists of some combination of 20 amino acids, in an order that depends on the order of DNA and RNA bases. It’s an amazingly simple code, considering the complexity of body structures and functions that result from it.

Figure 4.2 summarizes the main steps in translating in- formation from DNA through RNA into proteins. Some pro- teins form part of the structure of the body. Others serve as enzymes, biological catalysts that regulate chemical reactions in the body. Not all RNA molecules code for proteins. Many RNA molecules perform regulatory functions.

If you have the same genes on your two copies of some chromosome, you are homozygous for that gene. If you have an unmatched pair of genes, you are heterozygous for that gene. For example, you might have a gene for blue eyes on one chromosome and a gene for brown eyes on the other.

Genes are dominant, recessive, or intermediate. A dominant gene shows a strong effect in either the homozy- gous or heterozygous condition. A recessive gene shows its effects only in the homozygous condition. For example, a gene for brown eyes is dominant and a gene for blue eyes is reces- sive. If you have one gene for brown eyes and one for blue, the result is brown eyes. The gene for high sensitivity to the taste of phenylthiocarbamide (PTC) is dominant, and the gene for low sensitivity is recessive. Only someone with two recessive genes has trouble tasting it (Wooding et al., 2004). Figure 4.3 illustrates the possible results of a mating between people who are both heterozygous for the PTC-tasting gene. Because each has one high taste sensitivity gene—let’s abbreviate it “T”—both parents readily taste PTC. However, each parent transmits either a high taste sensitivity gene (T) or a low taste sensitivity gene (t) to any child. Therefore, a child in this fam- ily has a 25 percent chance of two T genes, a 50 percent chance of the heterozygous condition, and a 25 percent chance of be- ing homozygous for the t gene.

However, an example like this can be misleading, because it implies that a single gene produces a single outcome. Even in the case of eye color, that is not true. Researchers have identi- fied at least 10 genes that contribute to variations in eye color (Liu et al., 2010). At least 180 genes contribute to differences in people’s height (Allen et al., 2010). Each gene that contrib- utes to eye color or height affects other characteristics as well. Furthermore, you express most of your genes in certain cells and not others, and changes in the environment can increase or decrease the expression of a gene. Genetic influences are more complex than we once imagined.

DNA Self-replicating molecule

Each base determines one base of the RNA.

A triplet of bases determines one amino acid.

RNA Copy of one strand of the DNA

Protein Some proteins become part of the body’s structure. Others are enzymes that control the rate of chemical reactions.

...

Figure 4.2 How DNA controls development of the organism The sequence of bases along a strand of DNA determines the order of bases along a strand of RNA; RNA in turn controls the sequence of amino acids in a protein molecule.

08202_ch04_ptg01.indd 105 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

106 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Sex-Linked and Sex-Limited Genes The genes on the sex chromosomes (designated X and Y in mammals) are known as sex-linked genes. All other chro- mosomes are autosomal chromosomes, and their genes are known as autosomal genes.

A female mammal has two X chromosomes, whereas a male has an X and a Y. During reproduction, the female neces- sarily contributes an X chromosome, and the male contributes either an X or a Y. If he contributes an X, the offspring is fe- male; if he contributes a Y, the offspring is male. (Exceptions to this rule are possible, but uncommon.)

When biologists speak of sex-linked genes, they usually mean X-linked genes. The Y chromosome is small, with rela- tively few genes of its own, but it also has sites that influence the functioning of genes on other chromosomes.

One human sex-linked gene controls red-green color vi- sion deficiency (see Figure 4.4). Any man with the recessive form of this gene on his X chromosome is red-green color de- ficient because he has no other X chromosome. A woman is color deficient only if she has that recessive gene on both of her X chromosomes. So, for example, if 8 percent of human

STOP & CHECK 1. Suppose you have high sensitivity to tasting PTC. If your

mother can also taste it easily, what (if anything) can you predict about your father’s ability to taste it?

2. Suppose you have high sensitivity to the taste of PTC. If your mother has low sensitivity, what (if anything) can you predict about your father’s taste sensitivity?

3. Suppose someone identifies a “gene for” certain aspects of development. How might that statement be misleading?

ANSWERS

1. If your mother has high sensitivity to the taste of PTC, we can make no predictions about your father. You may have inherited a high-sensitivity gene from your mother, and because the gene is dominant, you need only one copy of the gene to taste PTC. 2. If your mother has low sensitivity, you must have inherited your high-sensitivity gene from your father, so he must have high sensitivity. 3. Almost any characteristic depends on more than one gene, as well as influences from the environment.

Figure 4.3 Four equally likely outcomes of a mating between parents who are heterozygous for a given gene (Tt) A child in this family has a 25 percent chance of being homozygous for the dominant gene (TT), a 25 percent chance of being homozygous for the recessive gene (tt), and a 50 percent chance of being heterozygous (Tt).

Mother: Genes Tt Heterozygous taster

Father: Genes Tt Heterozygous taster

T

T

t

t

Child 1: Genes TT Homozygous taster

Child 2: Genes Tt Heterozygous taster

Child 3: Genes tT Heterozygous taster

Child 4: Genes tt Homozygous nontaster

Mother: X chromosome with RG gene; X chromosome with rg gene Normal color vision, but carrier for color deficiency

Father: X chromosome with RG gene; Y chromosome with no relevant gene Normal color vision

X with RG

X with RG

Y

X with rg Daughter (XX) RG, rg Normal color vision, but carrier for color deficiency

Son (XY) rg Red-green color deficient

Daughter (XX) RG, RG Normal color vision

Son (XY) RG Normal color vision

Figure 4.4 Red-green color deficiency, a sex-linked gene RG represents normal red-green color vision, and rg represents red-green color deficiency. Any son who receives an rg gene from his mother is red-green color deficient, because the Y gene has no gene for color vision. A daughter could be color deficient only if her father has color deficiency and her mother is a carrier for the condition.

08202_ch04_ptg01.indd 106 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 107

X chromosomes contain the gene for color vision deficiency, then 8 percent of men will be color deficient, but less than one percent of women will be (0.08 3 0.08).

Distinct from sex-linked genes are the sex-limited genes, present in both sexes but active mainly in one sex. Examples include the genes that control the amount of chest hair in men, breast size in women, amount of crowing in roosters, and rate of egg production in hens. Both sexes have the genes, but sex hormones activate them in one sex and not the other, or one sex much more than the other. Many sex-limited genes show their effects at puberty.

Genetic Changes Genes change in several ways. One way is by mutation, a heri- table change in a DNA molecule. Changing just one base in DNA to any of the other three types means that the mutant gene will code for a protein with a different amino acid at one location in the molecule. Given that evolution has already had eons to select the best makeup of each gene, a mutation is rarely advantageous. Still, those rare exceptions are impor- tant. The human FOXP2 gene differs from the chimpanzee version of that gene in just two bases, but those two mutations modified the human brain and vocal apparatus in several ways that facilitate language development (Konopka et al., 2009).

Another kind of mutation is a duplication or deletion. During the process of reproduction, part of a chromosome that ordinarily appears once might instead appear twice or not at all. When this process happens to just a tiny portion of a chromosome, we call it a microduplication or microdele- tion. Although it is possible for a microduplication to be help- ful, most are not. Microduplications and microdeletions of brain-relevant genes are responsible for several psychological or neurological disorders, probably including some cases of schizophrenia.

Epigenetics In addition to mutations that cause permanent changes in genes, the field of epigenetics deals with changes in gene ex- pression. Every cell in your body has the same DNA as every other cell (except your red blood cells, that have no DNA). However, the activity of a gene can vary. The genes that are most active in your brain are not the same as those active in your lungs or kidneys, and those most active in one part of your brain are not the most active in another part. Many genes that are essential to a developing fetus become less active after

birth, and others that did little for the fetus become important after birth (Hannon et al., 2016; Jaffe et al., 2016). At puberty, certain genes that had been almost silent become much more active (Lomniczi et al., 2013). A gene may be active in one person and not another. After all, monozygotic (“identical”) twins sometimes differ in handedness, mental health, or other aspects.

Various experiences can turn a gene on or off. Even form- ing a new memory or habit increases the activity of certain genes in particular neurons (Feng, Fouse, & Fan, 2007). If a mother rat is malnourished during pregnancy, her offspring alter the expression of certain genes to conserve energy and adjust to a world in which food will presumably be hard to find. If in fact rich food becomes abundant later in life, those offspring are predisposed, because of their gene expression, to a high probability of obesity and heart disease (Godfrey, Lillycrop, Burdge, Gluckman, & Hanson, 2007). Epigenetic changes can be inherited, at least for a generation or two. When mice were conditioned to fear a particular odor, the first and second generations of offspring showed increased sensitivity to that odor (Dias & Ressler, 2014). When male mice were exposed to chronic stressful experiences, their offspring showed a weakened hormonal response to stresses and altered gene expression in part of the brain. The effect was traced to RNA molecules in the father’s sperm (Rodgers, Morgan, Leu, & Bale, 2015).

Epigenetic changes in humans are also critical. Drug ad- diction produces epigenetic changes in the brain (Sadri-Vakili et al., 2010; Tsankova, Renthal, Kumar, & Nestler, 2007). The experience of feeling socially isolated or rejected alters the ac- tivity of hundreds of genes (Slavich & Cole, 2013). How well one of your grandparents was nourished or malnourished in childhood correlates with your chances for a long, healthy life, apparently because of changes in your father’s sperm cells (Pembrey et al., 2006).

How could an experience modify gene expression? First, let’s look at how gene expression is regulated, and then see how environmental factors can influence that regulation. Standard illustrations of the DNA molecule, as in Figure 4.2, show it as a straight line, which is an oversimplification. In fact, proteins called histones bind DNA into a shape that is more like string wound around a ball (see Figure 4.5). The histone molecules in the ball have loose ends to which certain chemical groups can attach. To activate a gene, the DNA must partially unwind from the histones.

The result of an experience—maternal deprivation, co- caine exposure, new learning, or whatever—in some way al- ters the chemical environment within a cell. In some cases the outcome adds acetyl groups (COCH3) to the histone tails near a gene, causing the histones to loosen their grip on the DNA, and facilitating the expression of that gene. Removal of the acetyl group causes the histones to tighten their grip on the DNA, and turns the gene off. Another possibility is to add or remove methyl groups from DNA, usually at the promoter re- gions at the beginning of a gene. Adding methyl groups (CH3) to a promoter turns off a gene, and removing them turns on

STOP & CHECK 4. How does a sex-linked gene differ from a sex-limited gene?

ANSWER

4. A sex-linked gene is on the X or Y chromosome. A sex-limited gene is on an autosomal chromosome, but activated in one sex more than the other.

08202_ch04_ptg01.indd 107 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

108 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

a gene (Tsankova et al., 2007). For example, severe traumatic experiences in early childhood decrease methylation of many brain genes, increasing the later risk of depression, post- traumatic stress disorder, and so forth (Klengel et al., 2013).

The general point is that what you do at any moment not only affects you now, but also produces epigenetic effects that alter gene expression for longer periods of time. Furthermore, the distinction between “genetic” effects and “experiential” ef- fects has become blurrier than ever. Experiences act by alter- ing the activity of genes.

DNA

Nucleosome: DNA wound around core of histone molecules

Histone

Histone tail

2 nm

Figure 4.5 DNA bound into a ball shape by histone proteins Acetyl groups that attach to a loose end of a histone molecule loosen the histone’s grip on DNA, exposing more genes to the possibility of being active.

STOP & CHECK 5. How does an epigenetic change differ from a mutation? 6. How does adding a methyl or acetyl group to a histone pro-

tein alter gene activity?

ANSWERS

5. A mutation is a permanent change in part of a chro- mosome. An epigenetic change is an increase or decrease in the activity of a gene or group of genes. 6. Adding a methyl group turns genes off. An acetyl group loosens histone’s grip and increases gene activation.

sing better than someone else, the reason could be different genes, better training, or both. If the variations in some char- acteristic depend largely on genetic differences, the charac- teristic has high heritability. Heritability ranges from zero, indicating no genetic contribution to the variation, to one, indicating complete control.

But how could we determine the heritability of a charac- teristic? Researchers rely mainly on three kinds of evidence. First, they compare monozygotic (“from one egg”) twins and dizygotic (“from two eggs”) twins. People usually call monozygotic twins “identical” twins, but that term is mis- leading, because they sometimes differ in important ways. For example, some are mirror images of each other, one of them right-handed and the other one left-handed. Still, they have the same genes, whereas dizygotic twins do not. A stronger resemblance between monozygotic than dizygotic twins sug- gests a genetic contribution. However, that evidence by itself is not totally decisive, because the way you look influences the way people treat you, and therefore the way you act. Re- searchers sometimes also examine “virtual twins”—children of the same age, adopted at the same time into a single fam- ily. They grow up in the same environment from infancy, but without any genetic similarity. Any similarities in behavior imply environmental influences. However, the behavioral differences—which are in many cases substantial—suggest genetic influences (Segal, 2000).

A second kind of evidence is studies of adopted children. Any tendency for adopted children to resemble their biologi- cal parents suggests a hereditary influence. However, again the evidence is not always decisive. The biological mother con- tributes not only her genes, but also the prenatal environment.

Heredity and Environment Does singing ability depend on heredity or environment? That question as stated is meaningless. Unless you had both heredity and environment, you couldn’t sing at all. However, we can rephrase the question meaningfully: Do the observed differences among individuals depend more on differences in heredity or differences in environment? For example, if you

08202_ch04_ptg01.indd 108 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 109

A mother’s health, diet, and smoking and drinking habits dur- ing pregnancy can greatly influence her child’s development, especially the brain development. A similarity between an ad- opted child and the genetic mother could reflect either genetic influences or prenatal environment.

Using twin studies and adoption studies, researchers have found evidence for significant heritability of almost every behav- ior they have tested, including loneliness (McGuire & Clifford, 2000), neuroticism (Lake, Eaves, Maes, Heath, & Martin, 2000), television watching (Plomin, Corley, DeFries, & Fulker, 1990), childhood misbehavior (Burt, 2009), social attitudes (Posner, Baker, Heath, & Martin, 1996), cognitive performance (Plomin et al., 2013), educational attainment (Rietveld et al., 2013), and speed of learning a second language (Dale, Harlaar, Haworth, & Plomin, 2010). About the only behavior that has not shown a significant heritability is religious affiliation—such as Protestant or Catholic (Eaves, Martin, & Heath, 1990).

Any estimate of the heritability of a trait is specific to a given population. Consider alcohol abuse, which has mod- erate heritability in the United States. Imagine a population somewhere in which some families teach very strict prohibi- tions on alcohol use, perhaps for religious reasons, and other families are more permissive. With such strong environmental differences, the genetic influences exert less effect, and herita- bility will be relatively low. Then imagine another population where all families have the same rules, but people happen to differ substantially in genes that affect their reactions to alco- hol. In that population, heritability will be higher. In short, any estimate of heritability applies only to a particular population at a particular time.

In addition to twin and adoption studies, a third and po- tentially most decisive approach is to identify specific genes linked to some behavior. Using the candidate gene approach, researchers test a hypothesis, such as “a gene that increases the activity of the serotonin transporter may be linked to an increased risk of depression.” The candidate gene approach has identified one gene with a significant influence on the risk of alcohol abuse, and a few other genes with moderate effects, but many studies have yielded small or uncertain ef- fects (Dick et al., 2015). Another approach, a genome wide as- sociation study, examines all the genes while comparing two groups, such as people with and without schizophrenia. The problem with that approach is that it tests thousands of hy- potheses at once (one for each gene) and therefore has a risk of seeing an apparent effect by accident, especially in studies with a small sample. The approach can also have misleading results when applied to an ethnically diverse sample. Suppose some disorder, psychological or otherwise, is more common in one ethnic group than another. Then any other gene that is common in that ethnic group will appear to be a “risk factor,” even if in fact the gene has nothing to do with the disorder (Dick et al., 2015).

A review titled “Top 10 replicated findings from behav- ioral genetics” (Plomin, DeFries, Knopik, & Neiderhiser, 2016) listed statements that are well supported, although not very specific. For example, almost everything in psychology shows

ANSWERS

STOP & CHECK 7. What are the main types of evidence to estimate the heritabil-

ity of some behavior? 8. Suppose someone determines the heritability of IQ scores for

a given population. Then society changes in a way that pro- vides the best possible opportunity for everyone within that population. Will heritability of IQ increase, decrease, or stay the same?

7. One type of evidence is greater similarity between monozygotic twins than dizygotic twins. Another is resem- blance between adopted children and their biological parents. A third is a demonstration that a particular gene is more common than average among people who show a particular behavior. 8. Heritability will increase. Heritabil- ity estimates how much of the variation is due to differ- ences in genes. If everyone has the same environment, then differences in environment cannot account for much of the remaining differences in IQ scores. Therefore, the relative role of genetic differences will be greater.

an important genetic influence, nothing in psychology has 100 percent heritability, heritability almost always depends on many genes with small effects, and stability of behavior over age is due to genetics. However, as one critic pointed out, we still have few cases of identified genes with major effects, and we rarely know much about how any gene exerts its effects on behavior (Turkheimer, 2016).

If nearly everything in psychology has significant herita- bility, but nevertheless researchers cannot locate a gene with a strong link to a behavior, what might they be overlooking? In addition to the possibility of a huge number of genes each exerting small effects, another possibility is microduplications or microdeletions, which we know contribute in some cases. Another possibility is mutations that have a large effect but occur too rarely for typical research methods to find them. Still another possibility is that what appear to be genetic ef- fects might actually be epigenetic effects.

Environmental Modification Even a trait with high heritability can be modified by environ- mental interventions. A prime example is phenylketonuria (FEE-nil-KEET-uhn-YOOR-ee-uh), or PKU, a genetic inabil- ity to metabolize the amino acid phenylalanine. If PKU is not treated, phenylalanine accumulates to toxic levels, impairing brain development and leaving a child mentally retarded, rest- less, and irritable. Approximately one percent of Europeans carry a recessive gene for PKU. Fewer Asians and almost no Africans have the gene (T. Wang et al., 1989).

Although PKU is a hereditary condition, environmental interventions can modify it. Physicians in many countries routinely test the level of phenylalanine or its metabolites in each baby’s blood or urine. If a baby has high levels, indicat- ing PKU, physicians advise the parents to put the baby on a

08202_ch04_ptg01.indd 109 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

110 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

strict low-phenylalanine diet to protect the brain (Waisbren, Brown, de Sonneville, & Levy, 1994). The success of this diet shows that heritable does not mean unmodifiable.

A couple of notes about PKU: The required diet is diffi- cult. People have to avoid meats, eggs, dairy products, grains, and especially aspartame (NutraSweet), which is 50 percent phenylalanine. Instead, they eat an expensive formula con- taining the other amino acids. Physicians long believed that children with PKU could quit the diet after a few years. Later experience has shown that high phenylalanine levels damage mature brains, too. A woman with PKU should be especially careful during pregnancy and when nursing. Even a geneti- cally normal baby cannot handle the enormous amounts of phenylalanine that an affected mother might pass through the placenta.

ANSWER

STOP & CHECK 9. What example illustrates the point that even if some charac-

teristic is highly heritable, a change in the environment can alter it?

9. Keeping a child with the PKU gene on a strict low- phenylalanine diet prevents the mental retardation that the gene ordinarily causes. The general point is that sometimes a highly heritable condition can be modified environmentally.

over generations in the frequencies of various genes in a population.

We distinguish two questions about evolution: How did some species evolve, and how do species evolve? To ask how a species did evolve is to ask what evolved from what. For exam- ple, because humans are more similar to chimpanzees than to other species, biologists infer a common ancestor. Fossils also help to illuminate changes over time. As new evidence becomes available, biologists sometimes change their opinions about the evolutionary relationship between one species and another.

In contrast, the question of how species do evolve is a question of how the process works, and that process is a nec- essary outcome from what we know about reproduction. The reasoning goes as follows:

●● Because of genetic influences, offspring generally resem- ble their parents. That is, “like begets like.”

●● Mutations, recombinations, and microduplications of genes introduce new heritable variations that help or harm an individual’s chance of surviving and reproducing.

●● Certain individuals reproduce more than others do, thus passing on their genes to the next generation. Any gene that is associated with greater reproductive success will become more prevalent in later generations. Therefore, the current generation of any species resembles the individuals who reproduced in the past. If a change in the environment causes a different gene to increase the prob- ability of survival and reproduction, then that gene will spread in the population.

Because plant and animal breeders have long understood this idea, they choose individuals with a desired trait and make them the parents of the next generation through a process called artificial selection. Over many generations, breeders have produced exceptional racehorses, chickens that lay huge numbers of eggs, hundreds of kinds of dogs, and so forth. Darwin’s (1859) insight was that nature also selects. If certain individuals are more successful than others in finding food, es- caping enemies, resisting illness, attracting mates, or protecting their offspring, then their genes will become more prevalent in later generations. Given a huge amount of time, this process can produce the wide variety of life that we in fact observe.

Common Misunderstandings about Evolution Let’s clarify the principles of evolution by addressing a few misconceptions:

●● Does the use or disuse of some structure or behavior cause an evolutionary increase or decrease in that feature? You may have heard people say something like, “Because we hardly ever use our little toes, they get smaller and smaller in each succeeding generation.” This idea is a carryover of biologist Jean-Baptiste Lamarck’s theory of evolu- tion through the inheritance of acquired characteristics, known as Lamarckian evolution. According to this idea, if you exercise your arm muscles, your children will be born with bigger arm muscles, and if you fail to use your

How Genes Influence Behavior No gene produces its effects by itself. A gene produces a pro- tein that interacts with the rest of body chemistry and with the environment. Exactly how a gene might influence behavior is a complex issue, with many answers in different cases. A gene could influence your behavior even without being expressed in your brain. Suppose your genes make you unusually attrac- tive. As a result, strangers smile at you and many people want to get to know you. If their reactions to your appearance influ- ence your personality, then the genes altered your behavior by altering your environment!

For another example, imagine a child born with genes pro- moting greater than average height and running speed. Because of these factors, the child shows early success at basketball, and soon spends more and more time playing basketball. As a result, the child spends less time than average on other pursuits—watching television, playing chess, or anything else. This is a hypothetical example, but it illustrates the point: Genes can influence behavior in roundabout ways. We should not be amazed by reports that nearly every human behavior has some heritability.

The Evolution of Behavior Charles Darwin, known as the founder of evolutionary theory, didn’t like the term evolution. He preferred descent with modification, emphasizing the idea of changes without necessarily implying improvement. Evolution is a change

08202_ch04_ptg01.indd 110 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 111

little toes, your children’s little toes will be smaller than yours. However, biologists have found no mechanism for Lamarckian evolution to occur and no evidence that it does. Using or failing to use some body structure does not change the genes. People’s little toes will shrink in future generations only if people with genes for smaller little toes manage to reproduce more than other people do.

●● Have humans stopped evolving? Because modern medi- cine can keep almost anyone alive, and because welfare programs in prosperous countries provide the necessi- ties of life for almost everyone, some people assert that humans are no longer subject to the principle of “survival of the fittest.” Therefore, the argument goes, human evo- lution has slowed or stopped.

The flaw in this argument is that evolution depends on reproduction, not just survival. If people with certain genes have more than the average number of children, their genes will spread in the population.

●● Does “evolution” mean “improvement”? It depends on what you mean by “improvement.” By definition, evolu- tion improves fitness, which is operationally defined as the number of copies of one’s genes that endure in later generations. If you have more children than average, and they survive long enough to reproduce, you are evolution- arily fit, regardless of whether you are successful in any other way. You also increase your fitness by supporting your relatives, who share many of your genes and spread them by their own reproduction. Any gene that spreads is, by definition, fit. However, genes that increase fitness at one time and place might be disadvantageous after a change in the environment. For example, the colorful tail feathers of the male peacock enable it to attract females

ANSWER

STOP & CHECK 10. Many people believe the human appendix is useless. Will it

become smaller and smaller with each generation?

10. No. Failure to need a structure does not make it smaller in the next generation. The appendix will shrink only if people with a gene for a smaller appendix repro- duce more successfully than other people do.

but might become disadvantageous in the presence of a new predator that responds to bright colors. In other words, the genes of the current generation evolved because they were fit for previous generations. They may or may not be adaptive in the future.

●● Does evolution benefit the individual or the species? Nei- ther: It benefits the genes! In a sense, you don’t use your genes to reproduce yourself. Rather, your genes use you to reproduce themselves (Dawkins, 1989). Imagine a gene that causes you to risk your life to protect your children. If that gene enables you to leave behind more surviving children than you would have otherwise, then that gene will increase in prevalence within your population.

Natural selection cannot favor a gene that benefits the species while disadvantaging the individuals with the gene. Some people have claimed—incorrectly—that when lem- ming populations become too high, some of the lemmings jump off cliffs to decrease the overpopulation problem. If that were true (and it is not!), the next generation would all descend from those lemmings that failed to jump. The “self-sacrificing” gene would die out with those who had it.

China’s policy to limit each family to one child decreases the possibility of genetic changes between generations.

Sometimes, a sexual display, such as a peacock’s spread of its tail feath- ers, improves reproductive success and spreads the associated genes. In a changed environment, this gene could become maladaptive.

Ba rry

L ew

is /A

la m

y St

oc k

Ph ot

o

F. J.

H ie

rs ch

e/ Sc

ie nc

e So

ur ce

08202_ch04_ptg01.indd 111 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

112 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Evolutionary Psychology Evolutionary psychology concerns how behaviors evolved. The emphasis is on evolutionary and functional explanations— that is, how our genes reflect those of our ancestors and why natural selection might have favored the genes that pro- mote certain behaviors. The assumption is that any behavior characteristic of a species arose through natural selection and presumably provided some advantage, at least in ancestral times. Consider these examples:

●● Some animal species have better color vision than others, and some have better peripheral vision. Species evolve the kind of vision they need for their way of life (Chapter 5).

●● Animals that are in danger of being attacked while they sleep get by with little sleep per night, as compared to seldom-attacked species like lions, bats, and armadillos, that sleep many hours (Chapter 8).

●● Bears eat all the food they can find, storing fat to help them survive during times when food is scarce. Small birds eat only enough to satisfy their immediate needs, because any extra weight would interfere with their abil- ity to fly away from predators. Eating habits relate to the needs of each species (Chapter 9).

Several human behaviors make no sense except in terms of evolution. For example, people get “goose bumps”—erections of the hairs, especially on their arms and shoulders—when they are cold or frightened. Goose bumps produce little if any benefit to humans because our shoulder and arm hairs are short and usually covered by clothing. In most other mam- mals, however, erected hairs make a frightened animal look larger and more intimidating (see Figure 4.6). They also pro- vide extra insulation when the air is cold. We explain human goose bumps by saying that the behavior evolved in our re- mote ancestors and we inherited the mechanism.

Figure 4.7 Grasp reflex in human and monkey infants The grasp reflex, which accomplishes little or nothing for human infants, makes sense as an evolutionary remnant of a behavior necessary for the survival of our monkey-like ancestors.

Also consider the infant grasp reflex (see Figure 4.7). An infant will grasp tightly onto a finger, pencil, or similar object placed in the palm of the hand. What good does that accom- plish? Little or none for humans, but for our monkey-like an- cestors, it was critical. A mother monkey often needs all four limbs to climb a tree for food or to run away from a predator. An infant monkey that couldn’t hold on would jeopardize its life.

Certain other proposed evolutionary explanations are more controversial. Consider two examples:

●● More men than women enjoy the prospect of casual sex with multiple partners. Theorists have related this tendency to the fact that a man can spread his genes by impregnating many women, whereas a woman cannot multiply her children by having more sexual partners (Buss, 1994). Are men and women prewired to have dif- ferent sexual behaviors? To what extent is this behavior biologically driven and to what extent culturally driven? We shall explore this topic in a later chapter.

●● People grow old and die, with an average survival time of 70 to 80 years under favorable circumstances. However, people vary in how rapidly they deteriorate in old age, and

Figure 4.6 A frightened cat with erect hairs For animals with long hairs, erecting those hairs increases insulation from cold and makes the animal look larger and more dangerous. We humans continue to erect our hairs in those same situations as a remnant from our evolutionary past.

Ja ne

B ur

to n/

na tu

re pl

.c om

iS to

ck .c

om /C

ha la

ba la

Jo E

lle n

Ka la

t

08202_ch04_ptg01.indd 112 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 113

part of that variation is under genetic control. Researchers have identified several genes that are significantly more common among people who remain healthy and alert at ages 85 and beyond (Halaschek-Wiener et al., 2009; Poduslo, Huang, & Spiro, 2009; Puca et al., 2001). Why don’t we all have those genes? Perhaps living many years after the end of your reproductive years is evolutionarily disadvantageous. Did we evolve a tendency to grow old and die in order to get out of the way and stop compet- ing with our children and grandchildren? Curiously, a few species of turtles and fish continue reproducing through- out their long lives, and they do not seem to deteriorate with age. Greenland sharks can live for 400 years, maybe more (Nielsen et al., 2016). On the opposite extreme, some insects die of old age within weeks. Again, the idea is that human life span may be an evolved adaptation, rather than a physical necessity.

To further illustrate evolutionary psychology, consider the theo- retically interesting example of altruistic behavior, an action that benefits someone other than the actor. A gene that encour- ages altruistic behavior would help other individuals survive and spread their genes, at a possible cost to the altruistic individual. Could a gene for altruism spread, and if so, how?

How common is altruism? It certainly occurs in humans: We contribute to charities. We try to help people in distress. A student may explain something to a classmate who is compet- ing for a good grade in a course. Some people donate a kidney to save the life of someone they didn’t even know (MacFarqu- har, 2009).

Among nonhumans, altruism is less common. Coopera- tion occurs, certainly. A pack of animals may hunt together or forage together. A flock of small birds may “mob” an owl or hawk to drive it away. Chimpanzees sometimes share food (Hamann, Warneken, Greenberg, & Tomasello, 2011). But real altruism, in the sense of helping a nonrelative without quickly getting something in return, is unusual for nonhu- mans (Cheney, 2011). In one study, a chimpanzee could pull one rope to bring food into its own cage or a second rope that would bring food to itself and additional food to a familiar but unrelated chimpanzee in a neighboring cage. Most often, chimps pulled whichever rope happened to be on the right at the time—suggesting right-handedness—apparently indif- ferent to the welfare of the other chimpanzee, even when the other made begging gestures (Silk et al., 2005).

Even when animals do appear altruistic, they often have a selfish motive. When a crow finds food on the ground, it caws loudly, attracting other crows that will share the food. Altruism? Not really. A bird on the ground is vulnerable to attack by cats and other enemies. Having other crows around means more eyes to watch for dangers.

Also consider meerkats (a kind of mongoose). Periodically, one or another member of a meerkat colony stands and, if it sees danger, emits an alarm call that warns the others (see Figure 4.8). Its alarm call helps the others (including its relatives), but the one who sees the danger first and emits the alarm call is the one most likely to escape (Clutton-Brock et al., 1999).

Figure 4.8 Sentinel behavior: altruistic or not? As in many other prey species, meerkats sometimes show sentinel behav- ior in watching for danger and warning the others. However, the meerkat that emits the alarm is the one most likely to escape the danger.

For the sake of illustration, let’s suppose—without evidence—that some gene increases altruistic behavior—a behavior that helps others and not yourself. Could it spread within a population? One common reply is that most altruistic behaviors cost very little. True, but costing little is not good enough. A gene spreads only if the individuals with it repro- duce more than those without it. Another common reply is that the altruistic behavior benefits the species. True again, but the rebuttal is the same. A gene that benefits the species but fails to help the individual dies out with that individual.

A better explanation is kin selection—selection for a gene that benefits the individual’s relatives. A gene spreads if it causes you to take great efforts, even risking your life, to protect your children, because they share many of your genes, including perhaps a gene for protecting their own chil- dren. Natural selection can also favor altruism toward other relatives—such as brothers and sisters, cousins, nephews, and nieces (Dawkins, 1989; Hamilton, 1964; Trivers, 1985). In both humans and nonhumans, helpful behavior is more common toward relatives than toward unrelated individuals (Bowles & Posel, 2005; Krakauer, 2005).

Ec oP

rin t/

Sh ut

te rs

to ck

.c om

08202_ch04_ptg01.indd 113 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

114 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Another explanation is reciprocal altruism, the idea that individuals help those who will return the favor. Researchers find that people are prone to help not only those who helped them but also people whom they observed helping some- one else. Even young children show this tendency (Martin & Olson, 2015). The idea is not just “you scratched my back, so I’ll scratch yours,” but also “you scratched someone else’s back, so I’ll scratch yours.” By helping others, you build a reputation for helpfulness, and others are willing to cooperate with you. This system works only if individuals recognize one another. Otherwise, an uncooperative individual can accept favors, prosper, and never repay the favors. In other words, reciprocal altruism requires an ability to identify individuals and remember them later. Humans, of course, are excellent at recognizing one another even over long delays.

A third hypothesis is group selection. According to this idea, altruistic groups thrive better than less cooperative ones (Bowles, 2006; Kohn, 2008). Although this idea is certainly true, it faces a problem: Even if cooperative groups do well, wouldn’t an uncooperative individual within the cooperative group gain an advantage? Nevertheless, theorists have concluded that group selection does work under certain circumstances, such

as when cooperative individuals do most of their interactions with one another (Simon, Fletcher, & Doebeli, 2013). Group selection works especially well for humans, because of our ability to punish or expel uncooperative people.

At its best, evolutionary psychology leads to research that helps us understand a behavior. The search for a functional explanation directs researchers to explore species’ different habitats and ways of life until we understand why they behave differently. The approach is criticized when its practitioners propose explanations without testing them (Schlinger, 1996).

ANSWER

STOP & CHECK 11. What are plausible ways for possible altruistic genes to

spread in a population?

11. Altruistic genes could spread because they facilitate care for one’s kin or because they facilitate exchanges of favors with others (reciprocal altruism). Group selection may also work under some circumstances, especially if the cooperative group has a way to punish or expel an uncooperative individual.

In the control of behavior, genes are important but not all- important. Certain behaviors have a high heritability, such as the ability to taste PTC. Many other behaviors are influenced by genes but also subject to strong influence by experience. Our genes and our evolution make it possible for humans to be what we are today, but they also give us the flexibility to change our behavior as circumstances warrant.

Understanding the genetics of human behavior is impor- tant but also especially difficult, because researchers have such

limited control over environmental influences and no control over who mates with whom. Inferring how human behavior evolved is also difficult, partly because we do not know enough about the lives of our ancient ancestors.

Finally, we should remember that the way things are is not necessarily the same as the way they should be. Even if our genes predispose us to behave in a particular way, we can still decide to try to overcome those predispositions if they do not suit the needs of modern life.

Summary 1. Genes are chemicals that maintain their integrity from

one generation to the next and influence the develop- ment of the individual. A dominant gene affects devel- opment regardless of whether a person has pairs of that gene or only a single copy per cell. A recessive gene affects development only in the absence of the dominant gene. 104

2. Genes can change by mutations, microduplications, and microdeletions. 107

3. Gene expression can also change in a process called epigenetics, as chemicals activate or deactivate parts of chromosomes. Experiences can cause epigenetic changes, and in some cases an epigenetic change can influence the next generation. 107

4. Most behavioral variations reflect the combined influ- ences of genes and environmental factors. Heritability is an estimate of the amount of variation that is due to genetic variation as opposed to environmental variation. 108

5. Researchers estimate heritability of a human condition by comparing monozygotic and dizygotic twins and by comparing adopted children to their biological and adoptive parents. They also search for genes that are more common in people with one type of behavior than another. 108

6. Even if some behavior shows high heritability for a given population, a change in the environment might signifi- cantly alter the behavioral outcome. 109

Genes and Behavior Module 4.1 In Closing

08202_ch04_ptg01.indd 114 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.1 Genetics and Evolution of Behavior 1154.1 Genetics and Evolution of Behavior 115

altruistic behavior 113 artificial selection 110 autosomal genes 106 chromosomes 104 deoxyribonucleic acid (DNA) 104 dizygotic twins 108 dominant gene 105 epigenetics 107 evolution 110

evolutionary psychology 112 fitness 111 genes 104 group selection 114 heritability 108 heterozygous 105 histones 107 homozygous 105 kin selection 113

Lamarckian evolution 110 monozygotic twins 108 mutation 107 phenylketonuria (PKU) 109 recessive gene 105 reciprocal altruism 114 ribonucleic acid (RNA) 105 sex-limited genes 107 sex-linked genes 106

7. Genes influence behavior directly by altering brain chemi- cals and indirectly by affecting other aspects of the body and therefore the way other people react to us. 110

8. The process of evolution through natural selection is a necessary outcome, given what we know about reproduc- tion: Mutations sometimes occur in genes, and individuals with certain sets of genes reproduce more successfully than others do. 110

9. Evolution spreads the genes of the individuals who have reproduced the most. Therefore, if some characteristic is widespread within a population, it is reasonable to look for ways in which that characteristic is or has been adap- tive. However, we need to evaluate the relative contribu- tions of genetics and cultural influences. 112

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

1. For what human behaviors, if any, are you sure that heritability would be extremely low?

2. Certain genes influence the probability of developing Alzheimer’s disease or other conditions that occur

mostly in old age. Given that the genes controlling old age have their onset long after people have stopped having children, how could evolution have any effect on such genes?

Thought Questions

Module 4.1 End of Module Quiz

1. What is a sex-linked gene? A. A gene that influences sexual behavior B. A gene that has greater effects on one sex than the

other

C. A gene on either the X or Y chromosome D. A gene that becomes activated during sexual behavior

2. What is a sex-limited gene? A. A gene that influences sexual behavior B. A gene that has greater effects on one sex than the

other

C. A gene on either the X or Y chromosome D. A gene that becomes activated during sexual behavior

3. What does a microdeletion remove? A. Part of a protein B. Part of a brain wave

C. Part of a chromosome D. Part of a neuron

4. How does an epigenetic change differ from a mutation? A. An epigenetic change is a duplication or deletion of

part of a gene. B. An epigenetic change alters gene activity without

replacing any gene.

C. An epigenetic change alters more than one gene at a time.

D. An epigenetic change is beneficial, whereas a muta- tion is harmful.

08202_ch04_ptg01.indd 115 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

116 CHAPTER 4 Genetics, Evolution, Development, and Plasticity116 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

5. How does adding a methyl or acetyl group to a histone protein alter gene activity? A. A methyl group turns genes off. An acetyl group loos-

ens histone’s grip and increases gene activation. B. A methyl group turns genes on. An acetyl group tight-

ens histone’s grip and decreases gene activation.

C. A methyl group increases the probability of a muta- tion, whereas an acetyl group decreases the probability.

D. A methyl group decreases the probability of a mutation, whereas an acetyl group increases the probability.

6. Most estimates of heritability of human behavior use what type(s) of evidence? A. Studies of changes in behavior as people grow older B. Studies of similarities between parents and children

C. Comparisons of twins and studies of adopted children D. Comparisons of people living in different cultures

7. What is the difference between monozygotic (MZ) and dizygotic (DZ) twins? A. MZ twins develop from two eggs, whereas DZ twins

develop from a single egg. B. MZ twins develop from a single egg, whereas DZ

twins develop from two eggs.

C. MZ twins are one male and one female, whereas DZ twins are of the same gender.

D. MZ twins are of the same gender, whereas DZ twins are one male and one female.

8. Which of the following offers strong evidence that environmental changes can largely counteract the effect of a gene? A. The effects of temperature on children with autism

spectrum disorder B. The effects of diet on children with phenylketonuria

(PKU)

C. The effects of muscle training on children who have suffered a concussion

D. The effects of sleep on children with malaria

9. Which of these is responsible for evolutionary changes in a species? A. Using or failing to use part of the body increases or

decreases its size for the next generation. B. A gene that has long-term benefits to the species

will become more common.

C. Individuals with certain genes reproduce more than average.

D. Evolutionary changes anticipate the adaptations that will be advantageous in the future.

10. What, if anything, can we predict about the future of human evolution? A. People will get smarter, wiser, and more cooperative. B. People will not change, because evolution no longer

affects humans.

C. People will become more like whichever people tend to have the most children.

D. We cannot make any of these predictions.

11. Why do human infants show a grasp reflex? A. The reflex is an accidental by-product of brain

development. B. The reflex is an imitation of actions the infant sees

adults doing.

C. The reflex helps the infant develop motor skills that will be helpful later.

D. The reflex was advantageous to infants of our remote ancestors.

Answers: 1C, 2B, 3C, 4B, 5A, 6C, 7B, 8B, 9C, 10C, 11D.

08202_ch04_ptg01.indd 116 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

117

Development of the Brain

Think of all the things you can do that you couldn’t have done a few years ago—analyze statistics, read a foreign lan- guage, write brilliant critiques of complex issues, and so on. Have you developed these new skills because of brain growth? Many of your dendrites have grown new branches, but your brain as a whole hasn’t grown.

Now think of all the things that 1-year-old children can do that they could not do at birth. Have they developed their new skills because of brain growth? To a large extent, yes, although the results depend on experiences as well. In this module, we consider how neurons develop, how their axons connect, and how experience modifies development.

Maturation of the Vertebrate Brain The earliest stages of development are remarkably similar across species. A series of genes known as homeobox genes— found in vertebrates, insects, plants, even fungi and yeast— regulate the expression of other genes and control the start of anatomical development, including such matters as which end is the front and which is the rear. All these genes share a large sequence of DNA bases. A mutation in one homeobox gene causes insects to form legs where their antennas should be, or to form an extra set of wings. In humans, mutations

in homeobox genes have been linked to many brain disorders including mental retardation, as well as physical deformities (Conti et al., 2011).

The human central nervous system begins to form when the embryo is about 2 weeks old. The dorsal surface thickens and then long thin lips rise, curl, and merge, form- ing a neural tube that surrounds a fluid-filled cavity (see Figure 4.9). As the tube sinks under the surface of the skin, the forward end enlarges and differentiates into the hind- brain, midbrain, and forebrain (see Figure 4.10). The rest becomes the spinal cord. The fluid-filled cavity within the neural tube becomes the central canal of the spinal cord and the four ventricles of the brain, containing the cerebro- spinal fluid (CSF). The first muscle movements start at age 7½ weeks, and their only accomplishment is to stretch the muscles. At that age, spontaneous activity in the spinal cord drives all the muscle movements, as the sensory organs are not yet functional (Provine, 1972). That is, contrary to what we might guess, we start making movements before we start receiving sensations.

At birth, the average human brain weighs about 350 grams. By the end of the first year, it weighs 1,000 g, close to the adult weight of 1,200 to 1,400 g. In early infancy, the primary sensory areas of the cortex—responsible for registering vision, hearing,

(a) (b) (c) (d)

Neural plate

Neural fold

Neural groove

Developing heart bulge

Neural tube

Future brain

Figure 4.9 Early development of the human central nervous system The brain and spinal cord begin as folding lips surrounding a fluid-filled canal. The stages shown occur at approximately 2 to 3 weeks after conception.

Module 4.2

08202_ch04_ptg01.indd 117 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

118 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

and other senses—are more mature than the rest of the cortex. Their gyri and sulci are mostly formed, and their connections with the thalamus are fairly well established. They continue to develop, of course, but the greatest changes over the first cou- ple of years happen in the prefrontal cortex and other cortical areas responsible for attention, working memory, and decision making (Alcuter et al., 2014; G. Li et al., 2014). In short, the infant brain is set up to see, hear, and so forth, but limited in its ability to interpret that information or to decide what to do about it. The human prefrontal cortex continues slowly matur- ing through the teenage years and beyond. In general, the brain areas that are slowest to develop, such as the prefrontal cortex, are the ones most likely to deteriorate in conditions such as Alzheimer’s disease (Douaud et al., 2014).

Growth and Development of Neurons Neuroscientists distinguish several stages in the development of neurons. Proliferation is the production of new cells. Early in development, the cells lining the ventricles of the brain di- vide. Some cells remain where they are as stem cells, continuing to divide, whereas others migrate to other parts of the nervous system. In humans, most of the migration occurs before birth, but a small number continue to migrate for the first few months after birth (Paredes et al., 2016). One of the major differences between human brains and chimpanzee brains is that human neurons continue proliferating longer (Rakic, 1998; Vrba, 1998). Nearly all neurons form within the first 28 weeks of gestation, and premature birth before that time inhibits neuron formation (Malik et al., 2013).

3 weeks 7 weeks

11 weeks At birth

Forebrain

Midbrain

Forebrain

Forebrain

Spinal cord

Cranial nerves

Hindbrain

Midbrain Forebrain

Midbrain (hidden)

Midbrain Hindbrain

Hindbrain

Medulla

Cerebellum

Figure 4.10 Human brain at four stages of development The growing forebrain quickly surrounds the midbrain and part of the hindbrain.

Early in development, the primitive cells, not yet identifi- able as neurons or glia, begin to migrate (move). Chemicals known as immunoglobulins and chemokines guide neuron mi- gration. A deficit in these chemicals leads to impaired migration, decreased brain size, and mental retardation (Berger-Sweeney & Hohmann, 1997; Crossin & Krushel, 2000; Tran & Miller, 2003). The brain has many kinds of immunoglobulins and chemokines, reflecting the complexity of brain development.

As a cell differentiates into a neuron, it begins to form its dendrites, axon, and synapses. Synaptogenesis, the for- mation of synapses, begins long before birth, but it continues throughout life, as neurons form new synapses and discard old ones. The process generally slows in older people, as does the formation of new dendritic branches (Buell & Coleman, 1981; Jacobs & Scheibel, 1993).

A later and slower stage of neuronal development is myelination, the process by which glia produce the insulating fatty sheaths that accelerate transmission in many vertebrate axons. Myelin forms first in the spinal cord and then in the hindbrain, midbrain, and forebrain. Myelination continues gradually for decades and increases as a result of learning a new motor skill (Fields, 2015; McKenzie et al., 2014).

ANSWER

STOP & CHECK 12. Which comes first: migration, synaptogenesis, or

myelination?

12. Migration occurs first.

08202_ch04_ptg01.indd 118 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 119

New Neurons Later in Life Can the adult vertebrate brain generate new neurons? The tra- ditional belief, dating back to Cajal’s work in the late 1800s, as discussed in Chapter 1, was that vertebrate brains formed all their neurons in embryological development or early infancy at the latest. Beyond that point, neurons could modify their shape, but the brain could not develop new neurons. Later re- searchers found exceptions.

The first exceptions were the olfactory receptors, which are exposed to the outside world and its toxic chemicals. The nose contains stem cells that remain immature throughout life. Periodically, they divide, with one cell remaining imma- ture while the other differentiates to replace a dying olfactory receptor. It grows its axon back to the appropriate site in the brain (Gogos, Osborne, Nemes, Mendelsohn, & Axel, 2000; Graziadei & deHan, 1973).

The olfactory receptors send axons to the olfactory bulb, and later researchers also demonstrated the formation of new neurons in the olfactory bulb for many species (Gage, 2000). However, new neurons do not form in this area for humans, at least after the first year or so of life (Bergmann et al., 2012; Sanai et al., 2011).

In songbirds, one brain area that is necessary for sing- ing loses neurons in fall and winter and regains them the next spring (mating season) (Nottebohm, 2002; Wissman & Brenowitz, 2009). Also, new neurons form in the adult hip- pocampus of birds (Smulders, Shiflett, Sperling, & DeVoogd, 2000) and mammals (Song, Stevens, & Gage, 2002; van Praag et al., 2002). The hippocampus is an important area for mem- ory formation. A supply of new neurons keeps the hippocam- pus “young” for learning new tasks (Ge, Yang, Hsu, Ming, & Song, 2007; Schmidt-Hieber, Jonas, & Bischofberger, 2004). Blocking the formation of new neurons (such as by expos- ing the hippocampus to X-rays) impairs the formation of new memories (Clelland et al., 2009; Meshi et al., 2006).

How could researchers determine whether new neurons form in the adult brain in humans? A clever method relies on a radioactive isotope of carbon, 14C. The concentration of 14C in the atmosphere, compared with other isotopes of carbon, was nearly constant over time until the era of nuclear bomb testing released much radioactivity. That era ended with the Test Ban Treaty of 1963. The concentration of 14C peaked in 1963 and has been declining since then. If you examine tree rings, you find that a ring that formed in 1963 has the 14C content typical of 1963, a ring that formed in 1990 has the 14C content typical of 1990, and so forth. Researchers examined carbon in the DNA of various human cells. Every cell acquires DNA molecules when it forms and keeps them until it dies. When researchers examined people’s skin cells, they found a concentration of 14C corresponding to the year in which they did the test. That is, skin cells turn over rapidly, and your skin cells are less than a year old. When they examined skeletal muscle cells, they found a 14C concentration corresponding to 15 years ago, indicating that skeletal muscles are replaced slowly, making the average cell 15 years old. Cells of the heart are, on average, almost as old as the person, indicating that the

body replaces no more than one percent of heart cells per year (Bergmann et al., 2009). When researchers examined neurons in the cerebral cortex (of dead people at autopsy), they found a 14C concentration corresponding to the year of the person’s birth. These results indicate that the mammalian cerebral cortex forms few or no new neurons after birth (Spalding, Bhardwaj, Buchholz, Druid, & Frisén, 2005). Further research confirmed that suffering a stroke does not prompt the human cortex to form new neurons (Huttner et al., 2014). However, the 14C concentration of the human hippocampus indicates that we replace almost 2 percent of neurons in that area per year (Spalding et al., 2013). We also replace some of the neurons in parts of the basal ganglia known as the striatum, including the caudate nucleus, putamen, and nucleus accum- bens (see Figures 3.11 and 3.15) (Ernst et al., 2014). The hip- pocampus and basal ganglia, the two areas where we make new neurons throughout life, are both important for new learning. The new neurons are invariably small interneurons, not neurons with long axons extending to other brain areas.

ANSWERS

STOP & CHECK 13. New receptor neurons form in which sensory system? 14. What evidence indicates that new neurons form in the

human hippocampus and basal ganglia? 13. Olfaction 14. The mean 14C concentration of the DNA of human neurons in the hippocampus and basal ganglia corresponds to a level slightly more recent than the year the person was born, indicating that some of those neurons formed after birth.

Pathfinding by Axons If you asked someone to run a cable from one place to another in your room, your directions could be simple. But imagine asking someone to run a cable to somewhere on the other side of the country. You would have to give detailed instructions about how to find the right city, building, and location within the building. The developing nervous system faces a similar challenge because it sends axons over great distances. How do they find their way?

Chemical Pathfinding by Axons A famous biologist, Paul Weiss (1924), conducted an experi- ment in which he grafted an extra leg to a salamander and then waited for axons to grow into it. Unlike mammals, salaman- ders and other amphibians accept transplants of extra limbs and generate new axon branches to the extra limbs. Much re- search requires finding the right species to study. After the axons reached the muscles, the extra leg moved in synchrony with the normal leg next to it.

Weiss dismissed the idea that each axon found its way to the correct muscle in the extra limb. He suggested instead that the nerves attached to muscles at random and then sent a variety of messages, each one tuned to a different muscle.

08202_ch04_ptg01.indd 119 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

120 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

He supposed that muscles were like radios tuned to different stations: Each muscle received many signals but responded to only one. (The 1920s were the early days of radio, and it was an appealing analogy to think the nervous system might work like a radio. In the 1600s, Descartes thought the nervous system worked like a hydraulic pump, the most advanced technology of the time. Today, many people think the ner- vous system works like a computer, our own most advanced technology.)

Specificity of Axon Connections Later evidence supported the interpretation that Weiss had re- jected: The salamander’s extra leg moved in synchrony with its neighbor because each axon found the correct muscle.

Roger Sperry, a former student of Weiss, performed a classic experiment that showed how sensory axons find their way to their correct targets. The principle is the same as for axons finding their way to muscles. First, Sperry cut the op- tic nerves of some newts. (Note the importance of choosing the right species: A cut optic nerve grows back in amphibians, but not in mammals or birds.) The damaged optic nerve grew back and connected with the tectum, which is amphibians’ main visual area (see Figure 4.11), thereby reestablishing nor- mal vision. So then Sperry’s question was: Did they grow at random, or did they grow to a specific target?

For the next set of newts, Sperry (1943) cut the optic nerve and rotated the eye by 180 degrees. When the axons grew back to the tectum, the axons from what had originally been the dorsal portion of the retina (which was now ven- tral) grew back to the area responsible for vision in the dorsal retina. Axons from other parts of the retina also grew back to their original targets. The newt now saw the world upside down and backward, responding to stimuli in the sky as if they were on the ground and to stimuli on the left as if they were on the right (see Figure 4.12). Each axon regenerated to the same

place where it had originally been, presumably by following a chemical trail.

Chemical Gradients The next question was: How does an axon find its target? The current estimate is that humans have fewer than 30,000 genes total, probably fewer than 20,000—far too few to specify indi- vidual targets for each of the brain’s billions of neurons.

A growing axon follows a path of cell surface molecules, at- tracted by certain chemicals and repelled by others, in a process that steers the axon in the correct direction (Yu & Bargmann, 2001). Eventually, axons sort themselves over the surface of their target area by following a gradient of chemicals. One protein in the amphibian tectum is 30 times more concentrated in the axons of the dorsal retina than of the ventral retina and 10 times more concentrated in the ventral tectum than in the dorsal tectum. As axons from the retina grow toward the tec- tum, the retinal axons with the greatest concentration of this chemical connect to the tectal cells with the highest concentra- tion. The axons with the lowest concentration connect to the tectal cells with the lowest concentration. A similar gradient of another protein aligns the axons along the anterior–posterior

Optic nerve

Optic tectum

Chiasm

Lateral

Medial

Anterior (rostral)

Posterior (caudal)

Figure 4.11 Connections from eye to brain in a newt The optic tectum is a large structure in fish, amphibians, reptiles, and birds. Note: Connections from eye to brain in a newt differ from those in a human, as described in the module on lateralization.

Roger W. Sperry (1913–1994) When subjective values have objective consequences . . . they become part of the content of science. . . . Science would become the final determinant of what is right and true, the best source and authority available to the human brain for finding ultimate axioms and guideline beliefs to live by, and for reaching an intimate understanding

and rapport with the forces that control the universe and created man. (Sperry, 1975)

Co ur

te sy

o f t

he A

rc hi

ve s,

C al

ifo rn

ia In

st itu

te o

f Te

ch no

lo gy

08202_ch04_ptg01.indd 120 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 121

Anterior Anterior Posterior

Dorsal

Ventral

Dorsal

Ventral

Retina Tectum

Retina Tectum

Retina Tectum

Posterior

Posterior Anterior Posterior

Old ventral

Old dorsal

Dorsal

Ventral

Anterior

Optic nerve cut

Posterior Anterior Posterior

Old ventral

Old dorsal

Dorsal

VentralAxons regrow and attach to the same target neurons as before.

Eye rotated

Anterior

Figure 4.12 Sperry’s experiment on nerve connections in newts After he cut the optic nerve and inverted the eye, the axons grew back to their original targets, not to the targets corresponding to the eye’s current position.

Retina

Optic tectum

Figure 4.13 Retinal axons find targets in the tectum by follow- ing chemical gradients One protein is concentrated mostly in the dorsal retina and the ventral tectum. Axons rich in that protein attach to tectal neurons that are also rich in that chemical. A second protein directs axons from the posterior retina to the anterior portion of the tectum.

ANSWER

STOP & CHECK 15. What was Sperry’s evidence that axons grow to a specific

target instead of attaching at random?

15. If he cut a newt’s eye and inverted it, axons grew back to their original targets, even though the connections were inappropriate to their new positions on the eye.

axis (Sanes, 1993) (see Figure 4.13). By analogy, you could think of men lining up from tallest to shortest, pairing up with women who lined up from tallest to shortest.

Competition among Axons as a General Principle When axons initially reach their targets, chemical gradients steer them to approximately their correct location, but it would be hard to imagine that they achieve perfect accuracy. Instead, each axon forms synapses onto many cells in approximately the correct location, and each target cell receives synapses from many axons. Over time, each postsynaptic cell strengthens the most appropriate synapses and eliminates others (Hua & Smith,

08202_ch04_ptg01.indd 121 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

122 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

2004). This adjustment depends on the pattern of input from incoming axons (Catalano & Shatz, 1998). For example, one part of the thalamus receives input from many retinal axons. During embryological development, long before the first expo- sure to light, repeated waves of spontaneous activity sweep over the retina from one side to the other. Consequently, axons from adjacent areas of the retina send almost simultaneous messages to the thalamus. Each thalamic neuron selects a group of axons that are simultaneously active. In this way, it finds receptors from adjacent regions of the retina (Meister, Wong, Baylor, & Shatz, 1991). It then rejects synapses from other locations.

These results suggest a general principle, called neural Darwinism (Edelman, 1987). In the development of the nervous system, we start with more neurons and synapses than we can keep, and then a selection process keeps some of the synapses and rejects others. The most successful combinations survive, and the others fail. The principle of competition is an im- portant one, although we should use the analogy with Darwinian evolution cautiously. Mutations in the genes are random events, but neurotrophins steer new axonal branches and synapses in approximately the right direction.

and glands. Each ganglion has enough axons to supply the mus- cles and glands in its area, with no axons left over. How does the match come out so exact? Long ago, one hypothesis was that the muscles sent chemical messages to tell the sympathetic ganglion how many neurons to form. Rita Levi-Montalcini was largely re- sponsible for disconfirming this hypothesis.

Rita Levi-Montalcini Many years later, I often asked myself how we could have dedicated ourselves with such enthusiasm to solving this small neu- roembryological problem while German armies were advancing throughout Europe, spreading destruction and death wherever they went and threatening the very survival of Western civilization. The answer lies in the desperate and partially unconscious

desire of human beings to ignore what is happening in situations where full awareness might lead one to self-destruction.

Er ic

h Ha

rtm an

n/ M

ag nu

m P

ho to

s

Carla J. Shatz The functioning of the brain depends upon the precision and patterns of its neural circuits. How is this amazing computational machine assembled and wired during devel- opment? The biological answer is so much more wonderful than anticipated! The adult precision is sculpted from an early imprecise pattern by a process in which connections are verified by the functioning

of the neurons themselves. Thus, the developing brain is not simply a miniature version of the adult. Moreover, the brain works to wire itself, rather than assembling itself first and then flipping a switch, as might happen in the assembly of a computer. This kind of sur- prise in scientific discovery opens up new vistas of understanding and possibility and makes the process of doing science infinitely exciting and fascinating. (Shatz, personal communication)

Determinants of Neuronal Survival Getting the right number of neurons for each area of the nervous system is more complicated than it might seem. Consider an ex- ample. The sympathetic nervous system sends axons to muscles

Levi-Montalcini’s early life would seem most unfavorable for a scientific career. She was a young Italian Jewish woman during the Nazi era. World War II destroyed the Italian econ- omy, and at the time almost everyone discouraged women from scientific or medical careers. She had to spend several years in hiding during the war, but she spent those years conducting re- search on development of the nervous system, as she described in her autobiography (Levi-Montalcini, 1988) and a later inter- view with Moses Chao (2010). She developed a love for research and eventually discovered that the muscles do not determine how many axons form; they determine how many survive.

Initially, the sympathetic nervous system forms far more neurons than it needs. When one of its neurons forms a synapse onto a muscle, that muscle delivers a protein called nerve growth factor (NGF) that promotes the survival and growth of the axon (Levi-Montalcini, 1987). An axon that does not receive NGF degenerates, and its cell body dies. That is, each neuron starts life with a “suicide program”: If its axon does not make contact with an appropriate postsynaptic cell by a certain age, the neuron kills itself through a process called apoptosis,1 a programmed mechanism of cell death. (Apoptosis is distinct from necrosis, which is death caused by an injury or a toxic substance.) NGF cancels the program for apoptosis; it is the postsynaptic cell’s way of telling the incom- ing axon, “I’ll be your partner. Don’t kill yourself.”

The sympathetic nervous system’s way of overproducing neurons and then applying apoptosis enables the CNS to match the number of axons to the number of receiving cells. When the sympathetic nervous system begins sending axons toward the muscles and glands, it doesn’t know the exact size of the muscles

1Apoptosis is based on the Greek root ptosis (meaning “dropping”), which is pro- nounced TOE-sis. Therefore, many scholars insist that the second p in apoptosis should be silent, a-po-TOE-sis. Others argue that helicopter is also derived from a root with a silent p (pteron), but we pronounce the p in helicopter, so we should also pronounce the second p in apoptosis. Most people today do pronounce the second p, but be prepared for either pronunciation.

ANSWER

STOP & CHECK 16. If axons from the retina were prevented from showing spon-

taneous activity during early development, what would be the probable effect on development of the thalamus?

16. The axons would attach based on a chemical gradient but could not fine-tune their adjustment based on experi- ence. Therefore, the connections would be less precise.

Ca rla

J . S

ha tz

08202_ch04_ptg01.indd 122 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 123

or glands. It makes more neurons than necessary and discards the excess. In fact, all areas of the developing nervous system make more neurons than will survive into adulthood. Each brain area has a period of massive cell death, becoming littered with dead and dying cells (see Figure 4.14) (Forger & Breedlove, 1987). This loss of cells is a natural part of development. In fact, loss of cells in a particular brain area often indicates maturation. Maturation of successful cells is linked to simultaneous loss of less successful ones.

Nerve growth factor is a neurotrophin, meaning a chemi- cal that promotes the survival and activity of neurons. (The word trophin derives from a Greek word for “nourishment.”) In addition to NGF, the nervous system responds to brain-derived neurotrophic factor (BDNF) and several other neurotrophins (Airaksinen & Saarma, 2002). Neurotrophins are essential for growth of axons and dendrites, formation of new synapses, and learning (Alleva & Francia, 2009; Pascual et al., 2008; Rauskolb et al., 2010). Remember the term BDNF, because it becomes important again in the discussion of depression.

Although neurotrophins are essential to the survival of motor neurons in the periphery, they do not control survival of neurons within the brain. When cortical neurons reach a certain age in early development, a certain percentage of them die. How many neurons are present doesn’t seem to mat- ter. Experimenters transplanted extra neurons into mouse cortex with no apparent effect on the survival of the neurons already present (Southwell et al., 2012). What controls neuron death in the brain is not yet understood, but one factor is that neurons need input from incoming neurons. In one study, re- searchers examined mice with a genetic defect that prevented release of neurotransmitters. The brains initially assembled normal anatomies, but then the neurons started dying rapidly (Verhage et al., 2000).

The Vulnerable Developing Brain According to Lewis Wolpert (1991), “It is not birth, marriage, or death, but gastrulation, which is truly the most important time of your life.” (Gastrulation is one of the early stages of embryological development.) Wolpert’s point was that if you mess up in early development, you have problems from then on. Actually, if you mess up during gastrulation, your life is over.

During early development, the brain is highly vulner- able to malnutrition, toxic chemicals, and infections that would produce milder problems at later ages. For example, impaired thyroid function produces lethargy in adults but mental retardation in infants. (Thyroid deficiency was com- mon in the past because of iodine deficiency. It is rare today because table salt is fortified with iodine.) A fever is a mere annoyance to an adult, but it impairs neuron proliferation in a fetus (Laburn, 1996). Low blood glucose decreases an adult’s pep, but before birth, it impairs brain development (Nelson et al., 2000).

The infant brain is highly vulnerable to damage by alco- hol. Children of mothers who drink heavily during pregnancy are born with fetal alcohol syndrome, a condition marked by hyperactivity, impulsiveness, difficulty maintaining atten- tion, varying degrees of mental retardation, motor problems, heart defects, and facial abnormalities. Drinking during preg- nancy leads to thinning of the cerebral cortex that persists to adulthood (Zhou et al., 2011) (see Figure 4.15). More drinking causes greater deficits, but even moderate drinking produces a measurable effect (Eckstrand et al., 2012).

200,000

175,000

150,000

125,000

100,000 10 20 30

N um

b er

o f

m o

to r

n eu

ro n

s

Gestational age in weeks

Figure 4.14 Cell loss during development of the nervous system The number of motor neurons in the spinal cord of human fetuses is highest at 11 weeks and drops steadily until about 25 weeks. Axons that fail to make synapses die. (Source: From “Motoneuronal death in the human fetus,” by N. G. Forger and S. M. Breedlove, 1987, Journal of Comparative Neurology, 264, pp. 118–122. Copyright © 1987 Alan R. Liss, Inc. Reprinted by permission of N. G. Forger..)

ANSWERS

STOP & CHECK 17. What process assures that the spinal cord has the right

number of axons to innervate all the muscle cells? 18. What class of chemicals prevents apoptosis in the sympathetic

nervous system? 19. At what age does a person have the greatest number of neurons—

early in life, during adolescence, or during adulthood?

17. The nervous system builds more neurons than it needs and discards through apoptosis those that do not make lasting synapses. 18. Neurotrophins, such as nerve growth factor 19. The neuron number is greatest early in life.

Figure 4.15 Cortical thinning as a result of prenatal alcohol exposure The cortical areas marked in red are thinner, on average, in adults whose mothers drank alcohol during pregnancy. (Source: From “Developmental cortical thinning in fetal alcohol spectrum disorders,” by D. Zhou et al., 2011, NeuroImage, 58, pp. 16–25.)

08202_ch04_ptg01.indd 123 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

124 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Exposure to alcohol damages the brain in several ways. At the earliest stage of pregnancy, it interferes with neuron pro- liferation. A little later, it impairs neuron migration and differ- entiation. Still later, it impairs synaptic transmission (Kleiber, Mantha, Stringer, & Singh, 2013). Alcohol kills neurons partly by apoptosis. To prevent apoptosis, a brain neuron must re- ceive input from incoming axons. Alcohol inhibits receptors for glutamate, the brain’s main excitatory transmitter, and en- hances receptors for GABA, the main inhibitory transmitter. Because of the decrease in net excitation, many neurons un- dergo apoptosis (Ikonomidou et al., 2000). Further harm oc- curs after a bout of drinking, while the alcohol is washing out of the system. While alcohol was inhibiting the glutamate re- ceptors, many neurons compensated by quickly building more glutamate receptors. Then, when alcohol leaves, glutamate overexcites its receptors, bringing excess sodium and calcium into the cell and poisoning the mitochondria. The result is in- creased cell death in several brain areas (Clements et al., 2012).

The developing brain is highly responsive to many influ- ences from the mother. If a mother rat is exposed to stressful experiences, she becomes more fearful, she spends less than the usual amount of time licking and grooming her offspring, and her offspring become permanently more fearful in a variety of situations (Cameron et al., 2005). Analogously, the children of impoverished and abused women have, on average, increased problems in both their academic and social lives. The mecha- nisms in humans are not the same as those in rats, but the overall principles are similar: Stress to the mother changes her behavior in ways that change her offspring’s behavior.

immigrant children: Those who enter a country when very young master the correct pronunciation, whereas older children retain an accent.

In one fascinating experiment, researchers explored what would happen to the immature auditory portions of the brain if they received input from the eyes instead of the ears. Ferrets—mammals in the weasel family—are born so immature that their optic nerves (from the eyes) have not yet reached the thalamus. On one side of the brain, research- ers damaged the superior colliculus and the occipital cortex, the two main targets for the optic nerves. On that side, they also damaged the auditory input. Therefore, the optic nerve could not attach to its usual target, and the auditory area of the thalamus lacked its usual input. As a result, the op- tic nerve attached to what is usually the auditory area of the thalamus. What would you guess happened? Did the visual input cause auditory sensations, or did the auditory areas of the brain turn into visual areas?

The result, surprising to many, was this: What would have been the auditory thalamus and cortex reorganized, developing some (but not all) of the characteristic appear- ance of visual areas (Sharma, Angelucci, & Sur, 2000). But how do we know whether the animals treated that activity as vision? Remember that the researchers performed these procedures on one side of the brain. They left the other side intact. The researchers presented stimuli to the nor- mal side of the brain and trained the ferrets to turn one direction when they heard something and the other direc- tion when they saw a light, as shown in Figure 4.16. After the ferrets learned this task well, the researchers presented a light that the rewired side could see. The result: The fer- rets turned the way they had been taught to turn when they saw something. In short, the rewired temporal cor- tex, receiving input from the optic nerve, produced visual responses (von Melchner, Pallas, & Sur, 2000).

In a related study with newborn mice, researchers dam- aged the thalamic nucleus responsible for touch. As a result, axons from the nucleus responsible for pain sent their axons both to their usual target and to the cortical area usually re- ceptive to touch. The cortex then reorganized to be responsive to pain in both areas (Pouchelon et al., 2014). The overall con- clusion is that to some extent, the sensory input instructs the cortex about how to develop.

ANSWER

STOP & CHECK 20. Anesthetic drugs and anxiety-reducing drugs increase activity

of GABA, decreasing brain excitation. Why would we predict that exposure to these drugs might be dangerous to the brain of a fetus?

20. Prolonged exposure to anesthetics or anxiety-reducing drugs might increase apoptosis of developing neurons. Increased GABA activity decreases excitation, and devel- oping neurons undergo apoptosis if they do not receive enough excitation.

Differentiation of the Cortex Neurons differ in shape and chemistry. When and how does a neuron “decide” which kind of neuron it is going to be? It is not a sudden decision. Immature neurons ex- perimentally transplanted from one part of the developing cortex to another develop the properties characteristic of their new location (McConnell, 1992). However, neu- rons transplanted at a slightly later stage develop some new properties while retaining some old ones (Cohen- Tannoudji, Babinet, & Wassef, 1994). It is like the speech of

ANSWER

STOP & CHECK 21. In the ferret study, how did the experimenters determine that

visual input to the auditory portions of the brain actually produced a visual sensation?

21. They trained the ferrets to respond to stimuli on the normal side, turning one direction in response to sounds and the other direction to lights. Then they presented light to the rewired side and saw that the ferret again turned in the direction it had associated with lights.

08202_ch04_ptg01.indd 124 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 125

Fine-Tuning by Experience The blueprints for a house determine its overall plan, but be- cause architects cannot anticipate every detail, construction workers often have to improvise. The same is true for your nervous system. Because of the unpredictability of life, our brains have evolved the ability to remodel themselves in re- sponse to experience (Shatz, 1992).

Experience and Dendritic Branching Decades ago, researchers doubted that adult neurons sub- stantially changed their shape. Although the central structure of a dendrite becomes stable by adolescence, the periph- eral branches of a dendrite remain flexible throughout life (Koleske, 2013). Dale Purves and R. D. Hadley (1985) injected a dye that let them watch the structure of a living mouse neuron over days or weeks. They found that some dendritic branches extended between one viewing and another, whereas others retracted or disappeared (see Figure 4.17). About 6 percent of dendritic spines appear or disappear within a month (Xu, Pan, Yang, & Gan, 2007). The gain or loss of spines means a turnover of synapses, which relates to learning (Yang, Pan, & Gan, 2009).

Experiences guide the neuronal changes. Let’s start with a simple example. Decades ago, it was typical for a laboratory rat to live alone in a small gray cage. Imagine by contrast several rats in a larger cage with a few objects to explore. Research- ers called this an enriched environment, but it was enriched only by comparison to the deprived experience of a typical rat

Ferret with rewired left hemisphere learns to turn left when it hears a tone.

Initial Training

Test

Now �ash the red light so that the left (rewired) hemisphere sees it.

Result: Ferret turns right.

And learns to turn right when it sees a red light �ashed brie�y in the left visual �eld (stimulating right hemisphere, which is wired normally).

Figure 4.16 A ferret with rewired temporal cortex First, the normal (right) hemisphere is trained to respond to a red light by turning to the right. Then, the rewired (left) hemisphere is tested with a red light. The fact that the ferret turns to the right indicates that it regards the stimulus as light, not sound.

cage. A rat in the more stimulating environment developed a thicker cortex, more dendritic branching, and improved learning (Greenough, 1975; Rosenzweig & Bennett, 1996). As a result of this research, most rats today are kept in a more enriched environment than was typical in the past. Further research found differences between the brains of laboratory- reared rats and wild rats that someone captured. Here, the difference is not just a matter of less enriched versus more enriched, but different types of stimulation and activities. The wild-caught rats had more neurons in the visual areas of the brain and fewer in the auditory areas (Campi, Collins, Todd, Kaas, & Krubitzer, 2011). A stimulating environment enhances sprouting of axons and dendrites in many other spe- cies also (Coss, Brandon, & Globus, 1980) (see Figure 4.18).

We might suppose that the neuronal changes in an en- riched environment depend on interesting experiences and social interactions. No doubt some of them do, but much of the enhancement produced by the enriched environment is due to physical activity. Using a running wheel enhances growth of axons and dendrites, as well as learning, even for rodents in isolation (Marlatt, Potter, Lucassen, & van Praag, 2012; Pietropaolo, Feldon, Alleva, Cirulli, & Yee, 2006; Rhodes et al., 2003; Robinson, Buttolph, Green, & Bucci, 2015; van Praag, Kempermann, & Gage, 1999).

Can we extend these results to humans? Physical activity appears to be as beneficial for brain functioning in humans as in laboratory animals. The results on enriched environments are more debatable. Remember, the studies with laboratory rats merely showed that having a bigger cage with something to do was better than a small gray cage with nothing but food

08202_ch04_ptg01.indd 125 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

126 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

32 days later

30 days later

50 μm

Figure 4.17 Changes in dendritic trees of two mouse neurons During a month, some branches elongated and others retracted. Source: Based on the results of “Changes in dendritic branching of adult mammalian neurons revealed by repeated imaging in situ,” by D. Purves and R. D. Hadley, 1985, Nature, 315, pp. 404–406.

and water. So far as that goes, yes, humans in a normal en- vironment do better intellectually than children in orphan- ages where the staff provides little more than minimum care (Helder, Mulder, & Gunnoe, 2016; Loman et al., 2013). But the more important question is how much we could increase in- telligence beyond normal by providing special training or en- hanced experiences.

Educators have long operated on the assumption that training children to do something difficult will enhance their intellect in general. Long ago, British schools taught children Greek and Latin. Today it might be calculus, but in either case, the idea is to teach something challenging and hope students get smarter in other ways, too. The psychological term is far transfer. (Near transfer occurs if training on one task pro- duces improvement on a similar task.) In general, far trans- fer is a weak effect. Many studies have attempted to improve memory or intelligence by computerized tasks that practice verbal and spatial skills. Despite high claims by the publishers of these programs, most studies show little or no improvement in real-world performance (Melby-Lervåg, Redick, & Hulme, 2016; Simons et al., 2016). Typically, people showed clear ben- efits on the skills they had practiced, especially right after the training, but little improvement of any skills unlike the prac- ticed ones, and declining benefits as time passes. Similarly, many people advise old people to do crossword puzzles or Sudoku puzzles to “exercise their brains.” Experimental stud- ies suggest that practicing such puzzles improves their skills at the puzzles, but not much else (Salthouse, 2006).

(a) (b)

Figure 4.18 Effect of a stimulating environment (a) A jewelfish reared in isolation develops neurons with fewer branches. (b) A fish reared with others has more dendritic branches. (Source: Richard Coss)

08202_ch04_ptg01.indd 126 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 127

Computerized training may yet prove to be valuable, but if so it will probably need to include more varied or more dif- ficult skills. Some promising results emerged from a study in which people spent weeks playing a complex three-dimen- sional video game (Clemenson & Stark, 2015).

Applying this procedure to the occipital cortex of people who are blind interferes with their ability to identify Braille sym- bols, whereas it does not affect touch perception in sighted people. In short, blind people, unlike sighted people, use the occipital cortex to help identify what they feel (Cohen et al., 1997). In people blind since birth, the occipital cortex also re- sponds to auditory information (Watkins et al., 2013), espe- cially language (Bedny, Richardson, & Saxe, 2015).

Just as people who are blind from an early age become more sensitive to touch and sound, people who are deaf from an early age become more responsive to touch and vision. Just as touch and sound come to activate what would be the visual cortex in blind people, touch and vision come to activate what would be the auditory cortex in deaf people (Karns, Dow, & Neville, 2012). The auditory cortex not only responds to vi- sion, but responds specifically to certain aspects of vision. For example, different cells respond to different locations of visual stimuli (Almeida et al., 2015).

ANSWER

STOP & CHECK 22. An enriched environment promotes growth of axons and den-

drites in laboratory rodents. What is known to be one impor- tant reason for this effect?

22. Animals in an enriched environment are more active, and their exercise enhances growth of axons and dendrites.

Effects of Special Experiences So far, generalized training programs to enhance overall in- telligence have produced only temporary or modest benefits. However, prolonged practice of a particular activity does pro- duce definite brain changes that enhance the ability to per- form the task.

Brain Adaptations in People Blind since Infancy What happens to the brain if one sensory system is impaired? Recall the experiment on ferrets, in which axons of the visual system, unable to contact their normal targets, attached in- stead to the brain areas usually devoted to hearing, and man- aged to convert them into more or less satisfactory visual areas. Might anything similar happen in the brains of people born deaf or blind?

People often say that blind people become better than usual at touch and hearing. That statement is true in a way, but we need to be more specific. Blind people improve their atten- tion to touch and sound, based on practice. Researchers found that blind people have greater than average touch sensitivity in their fingers, especially blind people who read Braille and therefore practice their finger sensitivity extensively. Touch sensitivity does not increase at all for the lips, where blind people pay no more attention to touch than anyone else does (Wong, Gnanakumaran, & Goldreich, 2011).

In several studies, investigators asked sighted people and people blind since infancy to feel Braille letters or other objects and say whether two items were the same or different. On av- erage, blind people performed more accurately than sighted people, as you would guess. More surprisingly, while blind people performed these tasks, brain scans showed substantial activity in the occipital cortex, which is usually limited to vi- sual information (Burton et al., 2002; Sadato et al., 1996, 1998). Evidently, touch information had invaded this cortical area.

To double-check this conclusion, researchers asked peo- ple to perform the same kind of task during temporary inacti- vation of the occipital cortex. Intense magnetic stimulation on the scalp temporarily inactivates neurons beneath the magnet.

ANSWER

STOP & CHECK 23. Name two kinds of evidence indicating that touch informa-

tion from the fingers activates the occipital cortex of people blind since birth.

23. First, brain scans indicate increased activity in the occipital cortex while blind people perform tasks such as feeling two objects and saying whether they are the same or different. Second, temporary inactivation of the occipital cortex blocks blind people’s ability to perform that task, without affecting the ability of sighted people.

Music Training People who develop expertise in any area spend enormous amounts of time practicing, generally beginning in childhood, and it seems reasonable to look for corresponding changes in their brains. Of the various kinds of expertise, which would you want to examine? Researchers’ favorite choice has been musicians, for two reasons. First, we have a good idea of where in the brain to look for changes—the brain areas responsible for hearing and finger control. Second, serious musicians are numerous and easy to find. Almost any big city has an orches- tra, and so do most colleges.

One study used magnetoencephalography to record re- sponses of the auditory cortex to pure tones. The responses in musicians were about twice as strong as those in nonmusi- cians. An examination of their brains, using MRI, found that one area of the temporal cortex in the right hemisphere was about 30 percent larger in the musicians (Schneider et al., 2002). Other studies found enhanced responses of subcorti- cal brain structures to musical sounds and speech sounds, compared to nonmusicians (Herdener et al., 2010; Lee, Skoe, Kraus, & Ashley, 2009; Musacchia, Sams, Skoe, & Kraus, 2007). Even as little as three years of musical training in

08202_ch04_ptg01.indd 127 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

128 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

childhood produces a measurable increase in brainstem re- sponses to sounds (Skoe & Kraus, 2012).

These brain changes help musicians attend to slight changes in sounds that other people might not distinguish. For example, older adults who practice music tend to have better speech perception than others of their age (Bidelman & Alain, 2015). Also, on average, musicians are quicker than oth- ers to learn to distinguish the sounds of a tonal language, such as Chinese, in which nián (with a rising tone) means year, and niàn (with a falling tone) means study (Wong, Skoe, Russo, Dees, & Kraus, 2007).

According to a study using MRI, gray matter of several cortical areas was thicker in professional musicians than in amateurs and thicker in amateurs than in nonmusicians, as shown in Figure 4.19 (Gaser & Schlaug, 2003). The most strongly affected areas related to hand control and vision (which is important for reading music). A related study on stringed instrument players found that a larger than normal section of the somatosensory cortex in the right hemisphere was devoted to representing the fingers of the left hand, which they use to control the strings (Elbert, Pantev, Wienbruch, Rockstroh, & Taub, 1995). The area devoted to the left fingers was largest in those who began their music practice early and therefore also continued for more years.

These results suggest that practicing a skill reorganizes the brain to maximize performance of that skill. However, an alternative hypothesis is that brain characteristics that were present from birth attract people to one occupation or an- other. The structure of the auditory cortex predicts who can learn most quickly to distinguish very similar or unfamiliar speech sounds (Golestani, Molko, Dehaene, LeBihan, & Palier, 2007; Golestani, Price, & Scott, 2011). Might it also be the case that inborn brain features attract certain people to music?

One way to address that question is with a longitudinal study. Researchers examined 15 6-year-olds who were beginning piano lessons and 16 other children not taking music lessons. At the start of training, neither brain scans nor cognitive tests showed any significant difference between the two groups. After 15 months, the trained group performed better on mea- sures of rhythm and melody discrimination, and they showed enlargements of brain areas responsible for hearing and hand movements, similar to those seen in adult musicians (Hyde et al., 2009a, 2009b). These results imply that the brain differ- ences are the result of musical training, not the cause.

Another issue is whether music training produces bigger effects if it begins early in life, while the brain is more easily modified. Several studies found major differences between young adults who started music training in childhood and those who began as teenagers. However, because the adults who started in childhood had practiced for more years, those studies did not separate the effects of age at starting from the effects of total years of practice. Two later studies compared people who started music training before age 7 with people who started later but continued for just as many years. In both studies, those who started younger showed greater changes in sensory discriminations and brain anatomy (Steele, Bailey, Zatorre, & Penhune, 2013; Watanabe, Savion-Lemieux, & Penhune, 2007).

Precentral and postcentral gyri (Body sensations and motor control, including ngers)

Inferior visual cortex (Vision, such as reading music)

Left inferior frontal gyrus

Figure 4.19 Brain correlates of music practice Areas marked in red showed thicker gray matter among professional keyboard players than in amateurs and thicker among amateurs than in nonmusicians. Areas marked in yellow showed even stronger differences in that same direction. (Source: Gaser & Schlaug, 2003)

ANSWER

STOP & CHECK 24. Which brain area shows expanded representation of the left

hand in people who began practicing stringed instruments in childhood and continued for many years?

24. Somatosensory cortex (postcentral gyrus) of the right hemisphere.

08202_ch04_ptg01.indd 128 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 129

Brain Changes after Briefer Practice Being blind or deaf from birth leads to altered brain anatomy, and so does long-term musical training. Might briefer experi- ences also modify brain anatomy? In a sense, the answer is, “Yes, of course.” Anything you learn must have some effect on the brain. Just reading this sentence has rearranged a few mol- ecules in your brain. The issue is whether a relatively brief ex- perience produces a big enough effect that we might observe it with MRI or similar technology.

Many studies have in fact reported changes in adult brain anatomy from tasks such as learning to juggle three balls (Draganski et al., 2004; Zatorre, Fields, & Johansen-Berg, 2012), 16 hours of playing a complex video game (Colom et al., 2012), or 40 hours of playing golf for the first time (Bezzola, Mérillat, Gaser, & Jäncke, 2011). However, skeptics have raised objec- tions (Thomas & Baker, 2013): Many of the studies compared mean MRIs of the entire brains of the trained group to the

entire brains of a control group. In effect, they tested a huge number of hypotheses at once—one hypothesis for each brain area. That procedure has a high risk of finding an apparent re- sult by accident, and we should withhold judgment until some- one replicates a result. Nevertheless, one study found that two brain areas enlarged after learning to juggle three balls and were also expanded (only more so) in expert jugglers (Gerber et al., 2014). That finding strengthens our confidence that the briefer experience did in fact induce a measurable change in the brain.

When Brain Reorganization Goes Too Far If playing music or practicing anything else expands a relevant brain area, the change is good, right? Usually it is, but not al- ways. As mentioned, when people play musical instruments many hours a day for years, the representation of the hand increases in the somatosensory cortex. Imagine the normal representation of the fingers in the cortex:

Intr a-a

bdo min

alPhar ynx

Tongu e

Genitals

1 2 3

4 5

Precentral gyrus (primary motor cortex)

Postcentral gyrus (primary somatosensory cortex)

Jaw

H ip

Toes

Leg

Gums Teeth

Lips

Face

Nose

Eye

Thum b

Fingers

Hand Forearm

Elbow Arm

H ead

N eck

Trunk

Somatosensory cortex Portion of somatosensory cortex

Portion of somatosensory cortex

Intr a-a

bdo min

alPhar ynx

Tongu e

Genitals

Precentral gyrus (primary motor cortex)

Postcentral gyrus (primary somatosensory cortex)

Jaw

H ip

Toes

Leg

Gums Teeth

Lips

Face

Nose

Eye

Thum b

Fingers

Hand Forearm

Elbow Arm

H ead

N eck

Trunk

Somatosensory cortex

1

2 3

4 5

With extensive musical practice, the expanding representations of the fingers might spread out like this:

08202_ch04_ptg01.indd 129 9/15/17 6:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

130 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

In some cases, the latter process does occur, such that stimulation on one finger excites mostly the same cortical areas as another finger (Byl, McKenzie, & Nagarajan, 2000; Elbert et al., 1998; Lenz & Byl, 1999; Sanger, Pascual-Leone, Tarsy, & Schlaug, 2001; Sanger, Tarsy, & Pascual-Leone, 2001). If you cannot clearly feel the difference between one finger and another, it is difficult to move them indepen- dently. Furthermore, the motor cortex changes also. Rep- resentation of the middle fingers expands, overlapping and displacing representation of the index finger and little fin- ger. One or more fingers may go into constant contraction (Beck et al., 2008; Burman, Lie-Nemeth, Brandfonbrener, Parisi, & Meyer, 2009). Moving one finger without mov- ing another becomes more difficult. This condition, known as “musician’s cramp” or more formally as focal hand dystonia, can threaten a musician’s career. Similar prob- lems sometimes happen to writers, surgeons, golfers, or anyone else who repetitively practices precise hand move- ments (Furuya & Hanakawa, 2016).

Previously, physicians assumed that musician’s cramp was in the hands themselves, in which case the treatment would be hand surgery or injection of some drug into the hand. Now that we have identified brain reorganization as the problem, the approach is to find an appropriate type of retraining. Proprioceptive training provides bursts of vi- bration to affected muscles or trains the person to reach toward targets. This procedure improves sensation and muscle control for people with musician’s cramp and re- lated disabilities (Aman, Elangovan, Yeh, & Konczak, 2015; Rosenkranz, Butler, Williamson, & Rothwell, 2009).

Portion of somatosensory cortex

Intr a-a

bdo min

alPhar ynx

Tongu e

Genitals

Precentral gyrus (primary motor cortex)

Postcentral gyrus (primary somatosensory cortex)

Jaw

H ip

Toes

Leg

Gums Teeth

Lips

Face

Nose

Eye

Thum b

Fingers

Hand Forearm

Elbow Arm

H ead

N eck

Trunk

Somatosensory cortex

1 2 4

3 5

Someone with musician’s cramp or writer’s cramp has difficulty moving one finger independently of others. One or more fingers may twitch or go into a constant contraction.

Or the representations of all fingers could grow from side to side without spreading out so that representation of each finger overlaps that of its neighbor:

To m

as D

el A

m o/

Al am

y St

oc k

Ph ot

o

08202_ch04_ptg01.indd 130 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 131

Brain Development and Behavioral Development As people grow older, their behavior changes. How much of that change has to do with the brain? Let’s consider adoles- cence and old age.

Adolescence Adolescents are widely regarded as impulsive and prone to seek immediate pleasure, as compared to adults. Impulsive- ness is a problem if it leads to risky driving, drinking, sex, spending sprees, and so forth.

In addition to being more impulsive than older adults, children and adolescents tend to “discount the future” more than adults do. Which would you prefer, $100 now or $125 a year from now? What about $100 now versus $150 a year from now? How much bigger would next year’s payoff have to be to make you willing to wait? Adolescents are more likely to choose the immediate reward than adults are, in a variety of situations (Steinberg et al., 2009). To be fair, the situation is not the same for people of different ages, especially with regard to money. Adults are more likely to be financially

ANSWER

STOP & CHECK 25. What change in the brain is responsible for musician’s

cramp?

25. Extensive practice of violin, piano, or other instru- ments causes expanded representation of the fingers in the somatosensory cortex, as well as displacement of representation of one or more fingers in the motor cortex. If the sensory representation of two fingers overlaps too much, the person cannot feel them separately or move them separately.

secure and better able to wait for a higher reward. Still, ado- lescents tend to prefer immediate rewards even with rewards other than money, and adolescent rats and mice show a sim- ilar tendency to prefer immediate food instead of a larger portion later (Doremus-Fitzwater, Barretto, & Spear, 2012; Pinkston & Lamb, 2011).

Many studies have found that adolescent humans show weaker responses than adults do in the areas of the prefron- tal cortex responsible for inhibiting behaviors (e.g., Geier, Terwilliger, Teslovich, Velanova, & Luna, 2010). Further- more, the degree of maturity of the prefrontal cortex and its connections correlates positively with restraint of im- pulses (Gilaie-Dotan et al., 2014; van den Bos, Rodriguez, Schweitzer, & McClure, 2014). That type of evidence influ- enced the U.S. Supreme Court to rule that the death penalty is unconstitutional for adolescents, because adolescents are less able to restrain their impulses (Steinberg, 2013). How- ever, although the prefrontal cortex is indeed not quite mature in adolescents, its immaturity is only a small part of the explanation for impulsivity. In laboratory tests most adolescents inhibit impulses just as well as adults. Most of the riskiest behaviors, especially antisocial risky behaviors, come from individuals with a lifelong history of trouble- some behaviors, beginning in childhood and extending into adulthood (Bjork & Pardini, 2015). Furthermore, if risky, impulsive behavior were the product of an immature prefrontal cortex, we should expect it to decline over the teenage years as the cortex gradually matures. In fact, most types of risky behavior become more common toward the later teenage years (see Figure 4.20) (Shulman, 2014). A more likely explanation for risky adolescent behaviors is that the brain’s response to rewards, especially anticipa- tion of rewards, increases strongly during the teenage years (Braams, van Duijvenvoorde, Peper, & Crone, 2015; Larsen & Luna, 2015). Adolescents seek excitement, espe- cially when they are trying to impress their peers (Casey & Caudle, 2013; Crone & Dahl, 2012; Luna et al., 2010).

Age

R is

k fa

vo ra

b ili

ty

15 14 13 12 11 10

9 8 7 6 5 4 3 2 1 0

10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Male Female

Figure 4.20 Changes in Attitudes toward Risky Behaviors People of various ages were asked how favorable they felt toward risky actions such as bicycling down a staircase or surfing in very high waves. (Source: Shulman, 2014)

08202_ch04_ptg01.indd 131 9/15/17 6:33 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

132 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Old Age Many studies confirm that, on average, old people’s memory and reasoning begin to fade. Many neurons lose some of their synapses, and the remaining synapses change more slowly than before in response to experiences (Morrison & Baxter, 2012). The thickness of the temporal cortex shrinks by about half a percent per year, on average (Fjell et al., 2009). The fron- tal cortex begins thinning at age 30 (Brans et al., 2010)!

The volume of the hippocampus also gradually declines in old age, and certain aspects of memory decline in propor- tion to the loss of hippocampus (Erickson et al., 2010). Old people are apt to decline rapidly after an injury or illness be- cause of brain inflammation (Barrientos et al., 2011).

Nevertheless, most chief executives of major corpora- tions, world political leaders, and college presidents are over 60 years old. Is this a problem? Should we fire them and re- place them with 25-year-olds? Much of the research underes- timates older people, for several reasons. The average implies that everyone is decaying a little each year, but averages can be misleading. Some people deteriorate markedly, whereas oth- ers show little sign of loss (Barzilai, Alzmon, Derby, Bauman, & Lipton, 2006; Pudas et al., 2013). In general, those who remain

ANSWER

STOP & CHECK 26. Why is immaturity of the prefrontal cortex not a satisfactory

explanation for risky behaviors in adolescents?

26. As the teenage years progress, risky behavior tends to increase, even though the prefrontal cortex is becoming more mature.

physically fit also retain their cognitive abilities (Fletcher et al., 2016). Also, even those who may be slower in certain intel- lectual activities have developed a great base of knowledge and experience. On certain kinds of questions, older people do significantly better than younger people (Queen & Hess, 2010). Third, many older people find ways to compensate for losses, such as by activating more widespread brain areas to compensate for decreased arousal in one or two areas (Park & McDonough, 2013).

What procedures might help protect against cognitive de- cline in old age? Experimental studies in which people were randomly assigned to daily exercise or sedentary activities have generally found improvements in cortical activity, atten- tion, and sometimes memory (Hayes, Hayes, Cadden, & Verfa- ellie, 2013; Hötting & Röder, 2013). Chemical interventions are also worth investigating. After researchers transfused blood from old mice into young mice, the young mice showed a tem- porary impairment of synaptic plasticity and learning (Villeda et al., 2011). Transferring blood from young mice to old ones increased their number of dendritic spines and improved their learning and memory (Villeda et al., 2014). However, many procedures that work well with rats or mice yield disappoint- ing results with humans, so we need to await further research before getting too excited. (In the meantime, if you need a blood transfusion, hope that you get it from a young person!)

ANSWER

STOP & CHECK 27. What is one way in which older adults compensate for less

efficient brain functioning?

27. Many of them compensate by activating additional brain areas.

Brain Development Module 4.2 In Closing

Once a machine is built, it might need repair, but the construc- tion is finished. Your brain isn’t like that. Although the changes

are most rapid at first, structural changes continue throughout life. You are forever a work in progress.

Summary 1. In vertebrate embryos, the central nervous system

begins as a tube surrounding a fluid-filled cavity. Devel- oping neurons proliferate, migrate, differentiate, and develop synapses and myelin. Neuron proliferation var- ies among species mainly by the number of cell divisions. Migration depends on chemicals that guide immature neurons to their destinations. 117

2. In adult vertebrates, new neurons form only in a few parts of the brain. Adult humans form new olfactory

receptors, but the brain develops new neurons only in the hippocampus and the basal ganglia, both of which are important for new learning. 119

3. Growing axons find their way close to the right locations and then arrange themselves over a target area by fol- lowing chemical gradients. 119

4. After axons reach their targets based on chemical gradi- ents, the postsynaptic cell adjusts the connections based on experience, accepting certain combinations of axons and rejecting others. This kind of competition among axons continues throughout life. 120

08202_ch04_ptg01.indd 132 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 1334.2 Development of the Brain 133

5. Initially, the nervous system develops more neurons than will actually survive. Axons of the sympathetic nervous system survive only if they reach a target cell that releases to them nerve growth factor. Otherwise, they die in a process called apoptosis. Apoptosis also occurs in the brain, but the factors controlling it are less well understood. Prenatal exposure to alcohol increases apoptosis. 122

6. The developing brain is vulnerable to chemical insult. Many chemicals that produce only mild, tempo- rary problems for adults can impair early brain development. 123

7. At an early stage of development, the cortex is suf- ficiently plastic that visual input can cause what would have been the auditory cortex to develop different prop- erties and now respond visually. 124

8. Enriched experience leads to greater branching of axons and dendrites, partly because animals in enriched environments are more active than those in deprived environments. 125

9. Specialized experiences can alter brain development, especially early in life. For example, in people who are born blind, representation of touch and hearing expands in the brain areas usually reserved for vision. 127

10. Extensive practice of a skill expands the brain’s represen- tation of sensory and motor information relevant to that skill. For example, the representation of fingers expands in people who regularly practice musical instruments. 127

11. Although controversy remains, several studies report that even brief practice of a skill, such as juggling, can produce measurable changes in brain anatomy. 129

12. Although expanded representation in the brain is ordinar- ily a good thing, it can be harmful if carried too far. Some musicians and others who use their hands many hours each day develop brain changes that interfere with their ability to feel or use one finger independently of the others. 129

13. Compared to adults, adolescents tend to be impulsive and centered more on present pleasures than future prospects. In most cases, risky behaviors in adolescents probably reflect increased drive for excitement, more than lack of ability to inhibit impulses. 131

14. On average, people in old age show declining memory and reasoning, and shrinkage of certain brain areas. However, these averages do not apply to all individuals or all situations. On average, physically fit people tend to maintain their cognitive abilities. Many older people compensate for inefficiency of certain brain functions by recruiting activity in additional brain areas. 132

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

apoptosis 122 differentiates 118 far transfer 126 fetal alcohol syndrome 123 focal hand dystonia 130

migrate 118 myelination 118 nerve growth factor (NGF) 122 neural Darwinism 122 neurotrophin 123

proliferation 118 stem cells 118 synaptogenesis 118

Module 4.2 End of Module Quiz 1. In early brain development, what is the relationship between the sensory systems and muscle movements?

A. The sensory systems develop before the first muscle movements.

B. The first muscle movements occur at the same time as when the sensory systems develop.

C. The first muscle movements occur before the sensory systems develop.

D. First vision develops, then movements, and then the other sensory systems.

Thought Question

Biologists can develop antibodies against nerve growth factor (i.e., molecules that inactivate nerve growth factor). What would happen if someone injected such antibodies into a developing nervous system?

08202_ch04_ptg01.indd 133 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

134 CHAPTER 4 Genetics, Evolution, Development, and Plasticity134 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

2. Which parts of the cerebral cortex are most likely to deteriorate in Alzheimer’s disease and other conditions? A. The areas that mature at the earliest ages, such as

the primary visual cortex. B. The areas most distant from the heart, such as the

parietal cortex.

C. The areas responsible for emotional processing, such as the amygdala.

D. The areas that mature at the latest age, such as the prefrontal cortex.

3. In which areas of the human brain do some new neurons develop during adulthood? A. The primary visual cortex and the primary auditory

cortex B. The hippocampus and the basal ganglia

C. The olfactory bulbs and the areas responsible for speech

D. The corpus callosum and the cerebellum

4. When Sperry cut a newt’s optic nerve and turned the eye upside down, what happened? A. Axons of the optic nerve grew randomly and

attached diffusely to target cells. B. Axons of the optic nerve grew back to their original

targets.

C. Axons of the optic nerve grew back to targets appro- priate to their new location in the eye.

D. At first the axons grew back randomly, but then they established appropriate connections by learning.

5. In the sympathetic nervous system, which of the following prevents apoptosis? A. Steroid hormones B. Nerve growth factor

C. Physical exercise D. Myelination

6. Why does the spinal cord have the right number of axons to innervate all the muscle cells? A. Each muscle cell sends a chemical message telling

the spinal cord to make a neuron. B. The genes cause a certain number of neurons to

form and the same number of muscles to form.

C. Immature cells divide, with one daughter cell becom- ing a neuron and the other becoming a muscle.

D. The spinal cord makes an excess of neurons, but those that fail to innervate a muscle die.

7. At what age does a person have the largest number of neurons? A. Before or shortly after birth B. Equally at all times of life

C. Adolescence D. Adulthood

8. If a pregnant woman drinks alcohol, alcohol harms the brain of the fetus not only while it is in the system, but also while it is washing away after drinking. What is the danger while alcohol is washing away? A. Temperature in the brain may decrease. B. Blood pressure in the brain may decrease.

C. Excess inhibition at GABA synapses can lead to apoptosis.

D. Overstimulation at glutamate synapses can poison the mitochondria.

9. In the ferret study, what evidence indicated that visual input to the auditory portions of the brain actually produced a visual sensation? A. Bright flashes of light to the rewired eye caused the

ferrets to blink both eyes. B. Recordings from individual cells of the rewired tem-

poral cortex showed the same patterns usually seen in cells of the occipital cortex.

C. Ferrets could find their way around an unfamiliar room even with the normal eye closed.

D. Ferrets that learned to turn one way in response to light in the normal eye turned the same way to light in the rewired eye.

10. An enriched environment including social interactions promotes growth of axons and dendrites in laboratory rodents. What else can produce the same effect? A. Improved diet B. Physical activity

C. Exposure to music D. Extra sleep

11. According to most research, what are the effects of computerized programs to practice memory skills? A. Temporary improvement of the skills that were

practiced B. Temporary improvement of both the practiced skills

and general intelligence (“far transfer”)

C. Long-term improvement of both the practiced skills and general intelligence (“far transfer”)

D. No benefits, not even temporarily

08202_ch04_ptg01.indd 134 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.2 Development of the Brain 1354.2 Development of the Brain 135

12. If a person is born blind, what happens to the occipital (“visual”) cortex? A. Its cells shrink and gradually die. B. Its cells remain intact but forever inactive.

C. Its cells become responsive to touch or hearing. D. Its cells become spontaneously active, producing

hallucinations.

13. In people who practice violin or other stringed instruments for many years, what changes in the cerebral cortex? A. Both hemispheres begin controlling speech equally. B. Parts of the occipital cortex stop responding to

vision and switch to hearing.

C. A larger than average portion of the cortex responds to the passage of time.

D. A larger than average portion of the cortex responds to fingers of the left hand.

14. What causes musician’s cramp? A. Changes in the muscles and tendons of the hand B. Rewiring of the cerebral cortex

C. Loss of myelin on the motor nerves to the hand D. Changes in the touch receptors of the hand

15. What is the most likely biological explanation for increased risky behavior among adolescents? A. Immaturity of the prefrontal cortex B. Increased activity in brain areas that anticipate

reward

C. Increased activity in brain areas responsible for depressed mood

D. Immaturity of the corpus callosum

16. Why do many older people continue to hold important jobs in spite of the declines in memory and brain function that are known to occur in old age? A. Laws prevent them from being fired. B. Most of their jobs don’t require much brain activity.

C. Old people take the credit for work that younger people actually do.

D. The declines on average do not apply to all people.

Answers: 1C, 2D, 3B, 4B, 5B, 6D, 7A, 8D, 9D, 10B, 11A, 12C, 13D, 14B, 15B, 16D.

08202_ch04_ptg01.indd 135 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

136

Module 4.3

Plasticity after Brain Damage

An American soldier who suffered a wound to the left hemi-sphere of his brain during the Korean War was at first unable to speak at all. Three months later, he could speak in short fragments. When he was asked to read the letter- head, “New York University College of Medicine,” he replied, “Doctors—little doctors.” Eight years later, when someone asked him again to read the letterhead, he replied, “Is there a catch? It says, ‘New York University College of Medicine’” (Eidelberg & Stein, 1974).

Almost all survivors of brain damage show behavioral re- covery to some degree. Some of the mechanisms rely on the growth of new branches of axons and dendrites, similar to the mechanisms of brain development. Understanding the pro- cess leads to better therapies for people with brain damage and contributes to our understanding of brain functioning.

Brain Damage and Short-Term Recovery Possible causes of brain damage include tumors, infections, ex- posure to radiation or toxic substances, and degenerative con- ditions such as Parkinson’s disease and Alzheimer’s disease. In young people, the most common cause is closed head injury, a sharp blow to the head that does not puncture the brain. The effects of closed head injury depend on severity and fre- quency. Many children and young adults sustain at least one mild blow to the head from a fall, a bicycle or automobile accident, or a sports injury. Most recover without treatment, possibly suffering an occasional headache afterward (Babikian, Merkeley, Savage, Giza, & Levin, 2015). However, about 7 or 8 young people per thousand require hospital treatment, and of those, about 20 percent suffer a persisting disability (Thurman, 2016). If a blow to the head causes a period of con- fusion and loss of recent memory, then the duration of this period is a strong predictor of long-term problems (Briggs, Brookes, Tate, & Lah, 2015).

One cause of damage after closed head injury is the ro- tational forces that drive brain tissue against the inside of the skull. Another cause is blood clots that interrupt blood flow to the brain (Kirkpatrick, Smielewski, Czosnyka, Menon, & Pickard, 1995). Given the dangers from a blow to the head,

how do woodpeckers manage to avoid giving themselves con- cussions? If you banged your head into a tree 20 times per second at a speed strong enough to tear a hole in the bark, you would not be in good shape.

Using slow-motion photography, researchers found that woodpeckers usually start with a couple of quick preliminary taps against the wood, much like a carpenter lining up a nail with a hammer. Then the birds make a hard strike in a straight line, keeping a rigid neck. They almost completely avoid rota- tional forces and whiplash (May, Fuster, Haber, & Hirschman, 1979). Furthermore, the spongy bone of the woodpecker’s head makes an excellent shock absorber (Yoon & Park, 2011).

The implication is that football helmets, race car helmets, and so forth would give more protection if they extended down to the shoulders to prevent rotation and whiplash. Also, if you see a crash about to happen, you should tuck your chin to your chest and tighten your neck muscles.

Reducing the Harm from a Stroke A common cause of brain damage, especially in older people, is temporary interruption of normal blood flow to a brain area during a stroke, also known as a cerebrovascular accident. The more common type of stroke is ischemia (iss-KEE- me-uh), the result of a blood clot or other obstruction in an ar- tery. The less common type is hemorrhage (HEM-oh-rage), the result of a ruptured artery. Effects of strokes vary from barely noticeable to immediately fatal. Figure 4.21 shows the brains of three people: one who died immediately after a stroke, one who survived long after a stroke, and a bullet wound victim.

In ischemia, the neurons deprived of blood lose much of their oxygen and glucose supplies. In hemorrhage, they are flooded with blood and excess oxygen, calcium, and other chemicals. Both ischemia and hemorrhage lead to many of the same problems, including edema (the accumulation of fluid), which increases pressure on the brain and the probability of additional strokes (Unterberg, Stover, Kress, & Kiening, 2004). Both ischemia and hemorrhage also impair the sodium– potassium pump, leading to an accumulation of sodium in- side neurons. The combination of edema and excess sodium provokes excess release of the transmitter glutamate (Rossi, Oshima, & Attwell, 2000), which overstimulates neurons,

08202_ch04_ptg01.indd 136 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.3 Plasticity after Brain Damage 137

damaging both neurons and synapses (Castro-Alvarez, Guti- errez-Vargas, Darnaudéry, & Cardona-Gómez, 2011).

Immediate Treatments As recently as the 1980s, hospitals had little to offer to stroke patients. Today, prospects are good for ischemia if physicians act quickly. A drug called tissue plasminogen activator (tPA) breaks up blood clots. To get a benefit, a patient should receive tPA quickly, at least within 4.5 hours after a stroke. Emergency wards have improved their response times, but the limiting factor is that most stroke victims don’t get to the hospital quickly enough, sometimes because they did not realize they had suffered a stroke.

It is difficult to determine whether a stroke was isch- emic or hemorrhagic. Given that tPA is useful for ischemia but could only make matters worse in a hemorrhage, what is a physician to do? An MRI scan distinguishes between the two kinds of stroke, but MRIs take time, and time is limited. The usual decision is to give the tPA. Hemorrhage is less common and usually fatal anyway, so the risk of making a hemorrhage worse is small compared to the hope of alleviating ischemia.

What other treatments might be effective shortly after a stroke? Given that strokes kill neurons by overstimulation, one approach has been to decrease stimulation by blocking gluta- mate synapses or blocking calcium entry. Other approaches include cooling the brain, antioxidants, antibiotics, albumin, and treatments affecting the immune system. Each of these and more have shown promise in studies with laboratory ani- mals, but all of them have produced disappointing results with humans (Moretti, Ferrari, & Villa, 2015). A possible explana- tion is that the lab animals were young and healthy before

(a) (b) (c)

Figure 4.21 Three damaged human brains (a) Brain of a person who died immediately after a stroke. Note the swelling on the right side. (b) Brain of someone who survived for a long time after a stroke. Note the cavities on the left side, where many cells were lost. (c) Brain of a person who suffered a gunshot wound and died immediately. (Source: Dr. Dana Copeland)

the induced stroke, whereas most human stroke patients are old and have other health problems. Also, the lab animals re- ceived the drugs immediately, whereas humans receive them hours later. Furthermore, physicians are reluctant to give hu- mans large doses of experimental drugs, for fear of dangerous side effects. In spite of the discouraging results, research is continuing on many possible remedies.

Another procedure might surprise you: Exposure to can- nabinoids (the chemicals found in marijuana) minimizes the damage caused by strokes in laboratory animals. You might wonder how anyone thought of trying such a thing. One the- oretical rationale was that cannabinoids decrease the release of glutamate. If excessive glutamate is one of the reasons for cell loss, then cannabinoids might be helpful. They do, in fact, minimize the damage after a stroke in rats, as shown in Figure 4.22, although the explanation for the benefit is not yet clear (Schomacher, Müller, Sommer, Schwab, & Schäbitz, 2008). In addition to putting the brakes on glutamate, can- nabinoids exert anti-inflammatory effects and alter brain chemistry in several ways that might protect against damage (Fernández-Ruiz, Moro, & Martínez-Orgado, 2015).

So far, very little research has examined possible effects for human stroke patients. Again the problem is that canna- binoids are helpful only if administered within the first hours after a stroke. In fact, the research on laboratory animals in- dicates that cannabinoids are most effective if taken shortly before the stroke. One study did find that stroke patients with cannabinoids in their blood stream, indicating marijuana use before the stroke, had on average less severe damage from the stroke (Di Napoli et al., 2016). However, the mean age of the marijuana users was 47, and the mean for nonusers was 69.

08202_ch04_ptg01.indd 137 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

138 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

It is difficult to know how much of the difference in outcome was due to a possibly beneficial effect of marijuana, and how much was due to the difference in age. A similar problem re- lates to reports (Wolff et al., 2013) that marijuana users are more likely than average to have certain physical and mental illnesses: Does marijuana increase the risk of disorders? Or are people with certain disorders more likely than average to use marijuana? In the absence of any random-assignment ex- periments, we should be wary about drawing conclusions.

Increased Brain Stimulation A behavioral deficit after brain damage reflects more than just the cells that died. After damage to any brain area, other areas that have lost part of their normal input become less active. For example, shortly after damage in one brain hemisphere, its input to the other hemisphere declines, and therefore the other hemisphere shows deficits also (van Meer et al., 2010).

Diaschisis (di-AS-ki-sis, from a Greek term meaning “to shock throughout”) refers to the decreased activity of surviv- ing neurons after damage to other neurons. If diaschisis con- tributes to behavioral deficits following brain damage, then increased stimulation should help. In a series of experiments, D. M. Feeney and colleagues measured the behavioral effects of cortical damage in rats and cats. Depending on the location of the damage, the animals showed impairments in movement or depth perception. Injecting amphetamine significantly enhanced both behaviors, and animals that practiced the be- haviors under the influence of amphetamine showed long- lasting benefits. Injecting a drug to block dopamine synapses impaired behavioral recovery (Feeney & Sutton, 1988; Feeney, Sutton, Boyeson, Hovda, & Dail, 1985; Hovda & Feeney, 1989; Sutton, Hovda, & Feeney, 1989). Although amphetamine is too risky for use with human patients, other drugs that in- crease dopamine release have shown promise in a few studies (Sami & Faruqui, 2015).

(a) (b)

Figure 4.22 Effects of a cannabinoid on stroke damage Row (a) shows slices through the brains of five rats treated with a high dose of a cannabinoid shortly after a stroke. Row (b) shows slices for rats not treated with cannabinoids. The white areas on the right of each brain show the extent of the damage. (Source: From “Endocannabinoids mediate neuroprotection after transient focal cerebral ischemia,” by M. Schomacher, H. D. Müller, C. Sommer, S. Schwab, & W.-R. Schäbitz, 2008, Brain Research, 1240, pp. 213–220.)

ANSWERS

STOP & CHECK 28. What are the two kinds of stroke, and what causes each kind? 29. Why is tPA not helpful in cases of hemorrhage?

28. The more common form, ischemia, is the result of an occlusion of an artery. The other form, hemorrhage, is the result of a ruptured artery. 29. The drug tPA breaks up blood clots, and hemorrhage results from a ruptured blood vessel, not a blood clot.

Later Mechanisms of Recovery After the first days following brain damage, many of the surviving brain areas increase or reorganize their activity (Nishimura et al., 2007). In most cases the recovery depends mostly on increased activity by the spared cells surrounding the area of damage (Murata et al., 2015).

ANSWER

STOP & CHECK 30. After someone has had a stroke, would it be best (if possible)

to direct stimulant drugs to the cells that were damaged or somewhere else?

30. It is best to direct a stimulant drug to the cells that had been receiving input from the damaged cells. Presum- ably, the loss of input has produced diaschisis.

Regrowth of Axons Damage to the brain or spinal cord damages many axons of neurons that survived the damage. Getting those axons to grow back and connect to the correct targets could offer a great benefit. In principle, axon regrowth would seem to be possible. Damaged axons in the peripheral nervous system do grow back at a rate of about 1 mm per day, following its myelin sheath to the original target. Damaged axons also grow back in the spinal cord of a fish, under the control of a gene that is ac- tive in glia cells (Mokalled et al., 2016; Zhang, Pizarro, Swain, Kang, & Selzer, 2014). However, axons do not grow back in the mammalian brain or spinal cord, at least not enough to pro- duce any benefit. Many efforts have been made to find ways to promote axon regrowth in mammals.

A cut in the nervous system causes astrocytes to form scar tissue, thicker in mammals than in fish. One hypothesis has been that scar tissue is the main impediment, and that re- ducing the scar tissue might enable axon regrowth. However,

08202_ch04_ptg01.indd 138 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.3 Plasticity after Brain Damage 139

more recent studies indicate that the scar tissue is more help- ful than harmful. The astrocytes release chemicals that keep nearby neurons alive, and procedures that remove the scar lead to tissue degeneration (Anderson et al., 2016; Sabelström et al., 2013).

A damaged axon does not automatically start growing back. Several chemicals can stimulate regrowth, and research with laboratory rats has shown that such chemicals sometimes enable axons to return to their normal targets (Anderson et al., 2016; Ruschel et al., 2015; Wong, Gibson, Arnold, Pepinsky, & Frank, 2015). Even then, behavioral recovery is not automatic. To get proper function, the animal needs much practice of the relevant movements (Hollis et al., 2016; Wahl et al., 2014). If the damaged axons were sensory rather than motor, then extensive sensory experience is necessary for the axons to restore function (Lim et al., 2016).

In short, researchers have made much progress in facilitating regrowth of damaged axons in laboratory animals. However, we do not yet know how well these procedures might work with humans.

Axon Sprouting Ordinarily, the surface of dendrites and cell bodies is cov- ered with synapses, and a vacant spot doesn’t stay vacant for long. After a cell loses input from an axon, it secretes neu- rotrophins that induce other axons to form new branches, or collateral sprouts, that take over the vacant synapses (Ramirez, 2001) (see Figure 4.23). In the area near the dam- age, new synapses form at a high rate, especially for the first two weeks (C. E. Brown, Li, Boyd, Delaney, & Murphy, 2007).

Collateral sprouting in the cortex contributes to behav- ioral recovery in some cases (e.g., Li et al., 2015; Siegel, Fink, Strittmatter, & Cafferty, 2015). However, the result depends on whether the sprouting axons convey information similar to those that they replace. For example, the hippocampus re- ceives much input from an area called the entorhinal cortex. If the entorhinal cortex is damaged in one hemisphere, then ax- ons from the entorhinal cortex of the other hemisphere sprout, take over the vacant synapses, and largely restore behavior

(Ramirez, Bulsara, Moore, Ruch, & Abrams, 1999; Ramirez, McQuilkin, Carrigan, MacDonald, & Kelley, 1996). However, if the entorhinal cortex is damaged in both hemispheres, then axons from other locations sprout into the vacant synapses, conveying different information. Under those conditions, the sprouting interferes with behavior and prevents recovery (Ramirez, 2001; Ramirez et al., 2007).

Denervation Supersensitivity Neurons make adjustments to maintain a nearly constant level of arousal. After learning strengthens one set of syn- apses, other synapses weaken. (If this didn’t happen, then ev- ery time you learned something, your brain would get more and more aroused.) Conversely, if a certain set of synapses becomes inactive—perhaps because of damage elsewhere in the brain—the remaining synapses become more responsive, more easily stimulated. This process of enhanced response, known as denervation supersensitivity or receptor supersen- sitivity, has been demonstrated mostly with dopamine syn- apses (Kostrzewa, Kostrzewa, Brown, Nowak, & Brus, 2008).

Denervation supersensitivity helps compensate for de- creased input. However, when either collateral sprouting or denervation supersensitivity occurs, it can strengthen not only the desirable connections, but also undesirable ones, such as those responsible for pain. Unfortunately, many treatments that facilitate the regrowth of axons in a damaged spinal cord also lead to chronic pain (Brown & Weaver, 2012).

At first

Axon 2

Dendrites

Cell body

Axon 1

Loss of an axon Sprouting to fill vacant synapses

Collateral sprouting

Axon injured, degenerates

Figure 4.23 Collateral sprouting A surviving axon grows a new branch to replace the synapses left vacant by a damaged axon.

ANSWERS

STOP & CHECK 31. Is collateral sprouting a change in axons or dendritic

receptors? 32. Is denervation supersensitivity a change in axons or dendritic

receptors?

31. Axons 32. Dendritic receptors

08202_ch04_ptg01.indd 139 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

140 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

Reorganized Sensory Representations and the Phantom Limb If a brain area loses some of its incoming axons, we can ex- pect denervation supersensitivity, collateral sprouting, or both. The result is either increased response to a synapse that previously produced little effect, or response to an axon that previously did not attach at all. Let’s imagine how these pro- cesses might apply in the case of an amputation.

Reexamine Figure 3.23. Each section along the somato- sensory cortex receives input from part of the body. Within the area marked “fingers” in that figure, a closer examination reveals that each subarea responds more to one finger than to others. Figure 4.24 shows the arrangement for a monkey brain. In one study, experimenters amputated finger 3 of an owl monkey. The cortical cells that previously responded to information from finger 3 lost their input. Soon those cells became more responsive to finger 2, finger 4, or part of the palm, until the cortex developed the pattern of responsiveness shown in Figure 4.24b (Kaas, Merzenich, & Killackey, 1983; Merzenich et al., 1984).

What happens if an entire arm is amputated? For many years, neuroscientists assumed that the cortical area corre- sponding to that arm would remain permanently silent, be- cause axons from other cortical areas could not sprout far enough to reach the area representing the arm. Then came a surprise. Investigators recorded from the cerebral cortices of monkeys whose sensory nerves from one forelimb had been cut 12 years previously. They found that the stretch of cortex previously responsive to that limb was now respon- sive to the face (Pons et al., 1991). After loss of sensory in- put from the forelimb, the axons representing the forelimb degenerated, leaving vacant synaptic sites at several levels

of the CNS. Evidently, axons representing the face sprouted into those sites in the spinal cord, brainstem, and thalamus (Florence & Kaas, 1995; Jones & Pons, 1998). Or perhaps axons from the face were already present but became stron- ger through denervation supersensitivity. Brain scan studies confirm that the same processes occur with humans. Later studies showed that this process can occur much quicker than 12 years.

Now consider that reorganized cortex. The cells that previously responded to arm stimulation now receive in- formation from the face. Does it feel like stimulation on the face or on the arm? The answer: It feels like the arm (Davis et al., 1998). Evidently the brain areas that start off as arm areas, hand areas, or whatever retain those proper- ties even after decades without normal input. One patient had a hand amputated at age 19; 35 years later, a new hand was grafted in its place. Within months, he started to feel normal sensations in that hand (Frey, Bogdanov, Smith, Watrous, & Breidenbach, 2008).

Physicians have long noted that many people with am- putations experience a phantom limb, a continuing sensa- tion of an amputated body part. That experience can range from tingling to intense pain, either occasionally or con- stantly (Giummarra et al., 2010). People can have a phantom hand, foot, or any other body part. The phantom sensa- tion might last days, weeks, or a lifetime (Ramachandran & Hirstein, 1998).

Until the 1990s, no one knew what caused phantom pains, and most physicians believed that the sensations came from the stump of the amputated limb. However, removing more of the limb in an attempt to eliminate the phantom sensations accomplished nothing. Modern meth- ods show that phantom limbs develop when the relevant

D5 D4 D3

D2

D1 P1

P2

P3

P4

D5

D4 D3 D2

D1 P4

P3 P2 P1

D5

D4 D2

D1 P4

P3 P2

P1

D5 D4

D2

D1

Hand

(a) Normal (before amputation) (b) After amputation of 3rd digit

Somatosensory cortex

Fa ce

Bo dy

P1

P2

P3

P4

Figure 4.24 Somatosensory cortex of a monkey after a finger amputation Note that the cortical area previously responsive to the third finger (D3) becomes responsive to the second and fourth fingers (D2 and D4) and part of the palm (P3). (Source: Redrawn from the Annual Review of Neuroscience, Vol. 6, © 1983, by Annual Reviews, Inc. Reprinted by permission of Annual Reviews, Inc. and Jon H. Kaas.)

08202_ch04_ptg01.indd 140 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.3 Plasticity after Brain Damage 141

portion of the somatosensory cortex reorganizes and be- comes responsive to alternative inputs (Flor et al., 1995). For example, suppose axons representing the face come to activate the cortical area previously devoted to an am- putated hand. A touch on the face now produces a facial sensation but it also produces a sensation in the phantom hand. Figure 4.25 shows a map of which face area stimulates sensation in which part of the phantom hand, for one per- son (Aglioti, Smania, Atzei, & Berlucchi, 1997). For some people, seeing someone else being touched can also elicit a sensation in the phantom limb (Goller, Richards, Novak, & Ward, 2013).

Note in Figure 3.23 that the part of the cortex responsive to the feet is adjacent to the part responsive to the genitals. Two patients with foot amputations felt a phantom foot during sexual arousal! One reported feeling orgasm in the phantom foot as well as the genitals—and enjoyed it intensely (Ramachandran & Blakeslee, 1998). Evidently, the represen- tation of the genitals had spread into the cortical area respon- sible for foot sensation.

Is there any way to relieve a painful phantom sensation? In some cases, yes. Many amputees who learn to use an artifi- cial arm report that their phantom sensations gradually disap- pear (Lotze et al., 1999). As they start attributing sensations to the artificial arm, they displace the abnormal connections that caused phantom sensations.

Learned Adjustments in Behavior If you cannot find your keys, perhaps you accidentally dropped them into the trash (so they are gone forever), or perhaps you absentmindedly put them in an unusual place (where you will find them if you keep looking). Similarly, someone with brain damage may have lost some ability totally or may be able to find it with enough effort. Much recovery from brain damage

1

2 4 5

1 2 3 5

Figure 4.25 Sources of phantom sensation for one person Stimulation in the areas marked on the cheek produced phantom sensa- tions of digits 1 (thumb), 2, 4, and 5. Stimulation on the shoulder also evoked phantom sensations of digits 1, 2, 3, and 5. (Source: Based on Phantoms in the Brain by V. S. Ramachandran, M.D., Ph.D. and Sandra Blakeslee. Copyright © 1998 by V. S. Ramachandran and Sandra Blakeslee.)

ANSWER

STOP & CHECK 33. What is responsible for the phantom limb experience?

33. Synapses that used to receive input from the now amputated part become vacant. Axons representing another part of the body take over those synapses. Now stimulation of this other part activates the synapses associ- ated with the amputated area, but that stimulation feels like the amputated area.

Amputees who feel a phantom limb are likely to lose those phantom sensations if they learn to use an artificial arm or leg.

AP P

ho to

/A nd

y M

an is

Ph ot

oM ed

ia Gr

ou p/

Sh ut

te rs

to ck

.c om

08202_ch04_ptg01.indd 141 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

142 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

depends on learning to make better use of the abilities that were spared. For example, if you lose your peripheral vision, you learn to move your head from side to side to compensate (Marshall, 1985).

Sometimes, a person or animal with brain damage ap- pears unable to do something but is in fact not trying. Con- sider an animal that incurred damage to the sensory nerves from a forelimb to the spinal cord, as in Figure 4.26. The ani- mal no longer feels the limb, although the motor nerves still connect to the muscles. We say the limb is deafferented be- cause it has lost its afferent (sensory) input. A monkey with a deafferented limb does not spontaneously use it for walking, picking up objects, or any other voluntary behaviors (Taub & Berman, 1968). At first investigators assumed that the mon- key was unable to use the deafferented limb. In a later experi- ment, however, they cut the afferent nerves of both forelimbs. Despite this more extensive damage, the monkey used both of its deafferented limbs to walk, climb, and pick up food. Appar- ently, a monkey fails to use a deafferented forelimb only be- cause walking on three limbs is easier than using an impaired limb. When it has no choice but to use its deafferented limbs, it does. Similarly, one treatment for people recovering from a stroke is to force them to use the weaker limb by preventing them from using the normal limb (Sens et al., 2012).

Therapy for a person with brain damage begins with careful evaluation of a patient’s abilities and disabilities. For example, someone who has trouble carrying out spoken in- structions might be impaired in hearing, memory, language, muscle control, or alertness. After identifying the problem, a physical therapist or occupational therapist helps the patient practice the impaired skills.

Behavior recovered after brain damage is effortful, and its recovery is precarious. A person with brain damage who

White matter

Dorsal root (sensory)

Ventral root (motor)

Central canal

Gray matter

Figure 4.26 Cross section through the spinal cord A cut through the dorsal root (as shown) deprives the animal of touch sensations from part of the body but leaves the motor nerves intact.

appears to be functioning normally is working harder than usual. The recovered behavior deteriorates markedly after drinking alcohol, physical exhaustion, or other kinds of stress that would minimally affect most other people (Fleet & Heil- man, 1986). It also deteriorates in old age (Corkin, Rosen, Sul- livan, & Clegg, 1989).

ANSWER

STOP & CHECK 34. A monkey that loses sensation from one arm stops using it,

but a monkey that loses sensation from both arms does use them. Why?

34. A monkey that lost sensation in one arm is capable of moving it, but finds it easier to walk with the three intact limbs. When both arms lose their sensations, the monkey is forced to rely on them.

Brain Damage and Recovery Module 4.3 In Closing

The mammalian body is well equipped to replace lost blood cells or skin cells but poorly prepared to deal with lost brain cells. Even the processes that do occur after brain damage, such as collateral sprouting of axons or reorganization of sen- sory representations, are not always helpful. It is tempting to speculate that we failed to evolve mechanisms to recover from

brain damage because, through most of our evolutionary his- tory, an individual with brain damage was not likely to survive long enough to recover. Today, many people with brain and spinal cord damage survive for years, and we need continuing research on how to improve their lives.

Summary 1. Brain damage has many causes, including blows to the

head, obstruction of blood flow to the brain, or a ruptured blood vessel in the brain. Strokes kill neurons largely by overexcitation. 136

2. During the first hours after an ischemic stroke, tis- sue plasminogen activator (tPA) can reduce cell loss by

breaking up the blood clot. However, not many patients get treatment in time for tPA to be helpful. 137

3. Many procedures for reducing the effects of nervous sys- tem injury have shown promise with laboratory animals, but so far none of them have been reliably helpful with humans. One reason is that many of the treatments are

08202_ch04_ptg01.indd 142 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

4.3 Plasticity after Brain Damage 1434.3 Plasticity after Brain Damage 143

effective only if administered promptly after nervous sys- tem damage. Also, many patients have additional health problems, not just the stroke or other damage. 137

4. When one brain area is damaged, other areas become less active than usual because of their loss of input. Stimulant drugs can help restore normal function of these undam- aged areas. 138

5. After an area of the CNS loses its usual input, other axons begin to excite it as a result of either sprouting or dener- vation supersensitivity. The anatomical reorganization is helpful in some cases but not always. 138

6. The phantom limb experience occurs because axons from another body part invade the cortical area ordi- narily devoted to sensation from the now lost body part. Stimulation of the other body part now produces sensation as if it had come from the amputated part. 140

7. Many individuals with brain damage are capable of more than they show because they avoid using skills that have become impaired or difficult. 141

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

cerebrovascular accident 136 closed head injury 136 collateral sprouts 139 deafferent 142 denervation supersensitivity 139

diaschisis 138 edema 136 hemorrhage 136 ischemia 136 phantom limb 140

stroke 136 tissue plasminogen activator (tPA)

137

1. Ordinarily, patients with advanced Parkinson’s disease (who have damage to dopamine-releasing axons) move very slowly if at all. However, during an emer- gency (e.g., a fire in the building), they may move rapidly and vigorously. Suggest a possible explanation.

2. Drugs that block dopamine synapses tend to impair or slow limb movements. However, after people have taken such drugs for a long time, some experience invol- untary twitches or tremors in their muscles. Based on material in this chapter, propose a possible explanation.

Thought Questions

1. Tissue plasminogen activator (tPA) is helpful in reducing the effect of a stroke only under which of these conditions? A. It is helpful only if the stroke was due to a

hemorrhage. B. It is helpful only if administered within the first hours

after a stroke.

C. It is helpful only if the patient practices relevant movements while taking the drug.

D. It is effective only for laboratory animals, not for humans.

2. What would be the purpose of giving a drug that stimulates dopamine receptors to a stroke patient? A. To break up blood clots in the nervous system B. To increase collateral sprouting

C. To combat diaschisis D. To stimulate regrowth of axons

3. Name two procedures that decrease the damage caused by strokes in laboratory animals, although physicians so far have seldom tried them with people. A. Dehydration and lithium B. Increased blood flow and antidepressants

C. Decreased body temperature and cannabinoids D. Increased body temperature and tranquilizers

4. In which species, if any, can axons regrow in the spinal cord? A. In humans only B. In fish

C. In birds D. In no species

Module 4.3 End of Module Quiz

08202_ch04_ptg01.indd 143 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

144 CHAPTER 4 Genetics, Evolution, Development, and Plasticity144 CHAPTER 4 Genetics, Evolution, Development, and Plasticity

5. Where does collateral sprouting take place? A. In the cell body B. In the axon

C. In the dendrites D. In both the axons and the dendrites

6. Where does denervation supersensitivity take place? A. In the blood flow to the brain B. In glia cells

C. At synapses D. In axon membranes

7. What causes the phantom limb experience? A. Irritation of receptors at the stump where the amputa-

tion occurred B. Spontaneous activity of receptors at the stump where

the amputation occurred

C. Reorganization of the sensory cortex D. A psychiatric reaction based on denial of the

amputation

8. Suppose a patient uses only the right arm following injury that blocked all sensation from the left arm. Of the following, which is the most promising therapy? A. Electrically stimulate the skin of the left arm. B. Tie the right arm behind the person’s back.

C. Blindfold the person. D. Increase visual stimulation on the right side of the body.

Suggestions for Further Reading

Answers: 1B, 2C, 3C, 4B, 5B, 6C, 7C, 8B.

Levi-Montalcini, R. (1988). In praise of imperfection. New York: Basic Books. Autobiography by the discoverer of nerve growth factor.

Ramachandran, V. S., & Blakeslee, S. (1998). Phantoms in the brain. New York: Morrow. One of the most thought- provoking books ever written about human brain damage, including the phantom limb phenomenon.

08202_ch04_ptg01.indd 144 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch04_ptg01.indd 145 9/14/17 12:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch05_ptg01.indd 146 9/14/17 9:41 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

147

Imagine that you are a piece of iron. So there you are, sitting around doing nothing, as usual, when along comes a drop of water. What will be your per- ception of the water? Yes, of course, a bar of iron doesn’t have a brain, and it

wouldn’t have any perception at all. But let’s ignore that inconvenient fact and

imagine what it would be like if a bar of iron could perceive the water. From

the standpoint of a piece of iron, water is above all rustish.

Now return to your perspective as a human. You know that rustishness is

not really a property of water itself but of how it reacts with iron. The same is

true of human perception. When you see grass as green, the green is no more

a property of grass than rustish is a property of water. Green is the experience

that results when the light bouncing off grass reacts with the neurons in your

brain. Greenness is in us—just as rust is in the piece of iron.

Module 5.1

Visual Coding General Principles of Perception The Eye and Its Connections to the Brain Visual Receptors: Rods and Cones Color Vision In Closing: Visual Receptors

Module 5.2 

How the Brain Processes Visual Information An Overview of the Mammalian Visual System Processing in the Retina Further Processing The Primary Visual Cortex Development of the Visual Cortex In Closing: Understanding Vision by

Understanding the Wiring Diagram

Module 5.3

Parallel Processing in the Visual Cortex The Ventral and Dorsal Paths Detailed Analysis of Shape Motion Perception In Closing: Aspects of Vision

After studying this chapter, you should be able to:

1. Remember that we see because light strikes the retina, sending a message to the brain.

2. List the properties of cones and rods. 3. Explain the main features of color vision. 4. Trace the route of visual information from

the retina to the cerebral cortex. 5. Explain lateral inhibition in terms of the

connections among neurons in the retina. 6. Define and give examples of receptive

fields. 7. Describe research on how experiences alter

development of the visual cortex. 8. Discuss specific deficits that can occur

after damage to parts of the visual cortex, such as impaired facial recognition or impaired motion perception.

Chapter 5 Vision

Chapter Outline

Learning Objectives

Opposite:

Later in this chapter, you will understand why this prairie falcon has tilted its head. (Tom McHugh/Science Source)

08202_ch05_ptg01.indd 147 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

148

Module 5.1

Visual Coding

Several decades ago, a graduate student taking his final oral exam for a PhD in psychology was asked, “How far can an ant see?” He turned pale. He did not know the answer, and evi- dently he was supposed to. He tried to remember everything he knew about insect vision. Finally, he gave up and admitted he did not know.

With an impish grin, the professor told him, “Presumably, an ant can see 93 million miles—the distance to the sun.” Yes, this was a trick question. However, it illustrates an important point: How far an ant sees, or how far you see, depends on how far the light travels before it strikes the eyes. You do not send out “sight rays.” That principle was probably the first scientific discovery in psychology (Steffens, 2007). About a thousand years ago, the Arab philosopher Ibn al-Haytham (965–1040) observed that when you open your eyes at night, you immediately see the distant stars. He reasoned that if you saw by sending out sight rays, they couldn’t get to the stars that fast. Then he demonstrated that light rays bounce off an object in all directions, but you see only those rays that reflect off the object and strike your retina (Gross, 1999).

The point is worth emphasizing, because a distressingly large number of college students believe they send out sight rays from their eyes when they see (Winer, Cottrell, Gregg, Fournier, & Bica, 2002). Even some students who have taken courses in physics or visual perception hold that profound misunderstanding. Here is one of the most important prin- ciples to remember from this text: When you see a tree, for example, your perception is not in the tree. It is in your brain. You see something only when light from the object alters your brain activity. Even if you did send out rays from your eyes— and you don’t—when they struck some object, you wouldn’t know about it, unless they bounced back and returned to your eyes. Similarly, you feel something only when touch informa- tion reaches your brain. When you feel something with your fingers, you don’t feel it in your fingers. You feel it in your brain.

General Principles of Perception You see an object when it emits or reflects light that stimulates receptors that transmit information to your brain. How does your brain make sense of that information? The 17th-century philosopher René Descartes believed that the nerves from the eye would send the brain a pattern of impulses arranged like a picture of the perceived object, right side up. In fact, your brain encodes the information in a way that doesn’t resemble what you see. A computer’s representation of a triangle is a series of 0s and 1s that are in no way arranged like a triangle. Similarly, your brain stores a representation of a triangle in terms of altered activity in many neurons, and if you examine those neurons, you see nothing that looks like a triangle.

The brain codes information largely in terms of which neurons are active, and how active they are at any moment. Impulses in certain neurons indicate light, whereas im- pulses in others indicate sound, touch, or other sensa- tions. In 1838, Johannes Müller described this insight as the law of specific nerve energies. Müller held that whatever excites a particular nerve establishes a special kind of energy unique to that nerve. In modern terms, the brain somehow interprets the action potentials from the auditory nerve as sounds, those from the olfactory nerve as odors, and so forth. Admittedly, that word somehow glosses over a deep mystery.

STOP & CHECK 1. What was Ibn al-Haytham’s evidence that we see only because

light enters the eyes, not by sending out sight rays?

ANSWER

1. First, you can see distant objects such as stars far faster than we could imagine any sight rays reaching them. Second, when light strikes an object, we see only the light rays that reflect off the object and into the eyes.

08202_ch05_ptg01.indd 148 9/15/17 6:48 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 149

(see Figure 5.3). Additional cells called amacrine cells get infor- mation from bipolar cells and send it to other bipolar, amacrine, and ganglion cells. Amacrine cells refine the input to ganglion cells, enabling certain ones to respond mainly to particular shapes, directions of movement, changes in lighting, color, and other visual features (Masland, 2012). Researchers have identi- fied dozens of types of ganglion and amacrine cells, varying in their chemistry and connections (Kántor et al., 2016).

One consequence of this anatomy is that light passes through the ganglion, amacrine, and bipolar cells en route to the receptors. However, these cells are transparent, and light passes through them without distortion. A more important consequence is the blind spot. The ganglion cell axons join to form the optic nerve that exits through the back of the eye. The point at which it leaves (also where the blood vessels en- ter and leave) is a blind spot because it has no receptors. You can demonstrate your own blind spot with Figure 5.4. Close your left eye and focus your right eye on the top o. Then move the page forward and back. When the page is about 10 inches (25 cm) away, the x disappears because its image strikes the blind spot.

Now repeat with the lower part of the fig- ure. When the page is again about 10 inches away from your eyes, what do you see? The gap disappears! When the blind spot inter- rupts a straight line or other regular pattern, your brain fills in the gap.

In everyday life, you never notice your blind spot, for two reasons. First, your brain fills in the gap, as you just experienced. Second, anything in the blind spot of one eye is visible to the other eye. Use Figure 5.4 again to locate the blind spot in your right eye. Then close your right eye and open the left one. You will see the spot that the right eye couldn’t see.

Here is a demonstration: If you rub your eyes, you may see spots or flashes of light even in a totally dark room. You applied mechani- cal pressure, which excited visual receptors in your eyes. Anything that excites those recep- tors is perceived as light. (If you try this demonstration, first remove any contact lenses. Shut your eyelids and rub gently.)

STOP & CHECK 2. If someone electrically stimulated the auditory receptors in

your ear, what would you perceive? 3. If it were possible to flip your entire brain upside down,

without breaking any of the connections to sense organs or muscles, what would happen to your perceptions of what you see, hear, and so forth?

ANSWER

2. Because of the law of specific nerve energies, you would perceive it as sound, not as shock. (Of course, a strong enough shock might spread far enough to excite pain receptors also.) 3. Your perceptions would not change. The way visual or auditory information is coded in the brain does not depend on the physical location within the brain. Seeing something as “on top” or “to the left” depends on which neurons are active but does not depend on the physical location of those neurons.

TRY IT YOURSELF

The Eye and Its Connections to the Brain Light enters the eye through an opening in the center of the iris called the pupil (see Figure 5.1). It is focused by the lens (adjustable) and cornea (not adjustable) and projected onto the retina, the rear surface of the eye, which is lined with vi- sual receptors. Light from the left side of the world strikes the right half of the retina, and vice versa. Light from above strikes the bottom half of the retina, and light from below strikes the top half. The inversion of the image poses no problem for the nervous system. Remember, the visual system does not dupli- cate the image. It codes it by various kinds of neuronal activity. If you find this idea puzzling, think about a computer. Some chip in the computer indicates what to display at the upper left of your screen, but there is no reason why that chip needs to be in the upper left part of the computer.

Route within the Retina If you were designing an eye, you would probably send the re- ceptors’ messages directly back to the brain. In the vertebrate retina, however, messages go from the receptors at the back of the eye to bipolar cells, located closer to the center of the eye (see Figure 5.2). The bipolar cells send their messages to ganglion cells, located still closer to the center of the eye. The ganglion cells’ axons join together and travel back to the brain

TRY IT YOURSELF

TRY IT YOURSELF

STOP & CHECK 4. What makes the blind spot of the retina blind?

ANSWER 4. The blind spot has no receptors because it is occupied by exiting axons and blood vessels.

Fovea and Periphery of the Retina When you look at details such as letters on this page, you fixate them on the central portion of your retina, especially the fovea (meaning “pit”), a tiny area specialized for acute, detailed vision (see Figure 5.1). Because blood vessels and ganglion cell axons are almost absent near the fovea, it has nearly unimpeded vi- sion. The tight packing of receptors aids perception of detail.

More importantly for perceiving detail, each receptor in the fovea connects to a single bipolar cell, which in turn connects to a single ganglion cell that has an axon to the brain. The gan- glion cells in the fovea of humans and other primates are called

08202_ch05_ptg01.indd 149 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

150 CHAPTER 5 Vision

midget ganglion cells because each is small and responds to just a single cone. That is, each cone in the fovea has a direct route to the brain. Because the midget ganglion cells provide 70 percent of the input to the brain, your vision is dominated by what you see in and near the fovea (Nassi & Callaway, 2009).

You have heard the expression “eyes like a hawk.” Many birds’ eyes occupy most of the head, compared to only 5 percent of the head in humans. Furthermore, many bird species have two foveas per eye, one pointing ahead and one pointing to the side (Wallman & Pettigrew, 1985). The extra foveas enable perception of detail in the periphery.

Hawks and other predatory birds have a greater density of vi- sual receptors on the top half of their retinas (looking down) than on the bottom half (looking up). That arrangement is adaptive because predatory birds spend most of their day looking down, either while flying or while perched high in a tree. However, to look up, the bird must turn its head, as in Figure 5.5 (Waldvogel, 1990). Conversely, many prey species such as rats have most of their receptors on the bottom half of the retina, enabling them

Lens

Cornea

Pupil

Iris (colored area)

Ciliary muscle (controls the lens)

Retina

Rods and cones

Optic nerve

Blind spot

Fovea

Figure 5.1 Cross section of the vertebrate eye An object in the visual field produces an inverted image on the retina. The optic nerve exits the eyeball on the nasal side (the side closer to the nose).

Soma of bipolar cell

Receptors

Ganglion cells

Figure 5.2 A bipolar cell from the retina of a carp, stained yellow Bipolar cells get their name from the fact that a fibrous process is attached to each end (or pole) of the neuron. (Source: Dowling, 1987)

08202_ch05_ptg01.indd 150 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 151

Optic nerve

Blood vessels

Horizontal cell

Ganglion cells

Amacrine cell

Bipolar cells

Receptors

Axons from ganglion cells

Figure 5.3 Visual path within the eye Receptors send their messages to bipolar and horizontal cells, which in turn send messages to amacrine and ganglion cells. The axons of the ganglion cells form the optic nerve, which exits the eye at the blind spot and continues to the brain.

O

O

Figure 5.4 Demonstrations of the blind spot of the retina Close your left eye and focus your right eye on the o in the top part. Move the page toward you and away, noticing what happens to the x. At a distance of about 10 inches (25 cm), the x disappears. Now repeat this procedure with the bottom part. At that same distance, what do you see?

Figure 5.5 A consequence of how receptors are arranged on the retina One owlet has turned its head almost upside down to look up. Birds of prey have many receptors on the upper half of the retina, enabling them to see down in great detail during flight. But they see objects above them- selves poorly, unless they turn their heads. Take another look at the prairie falcon at the start of this chapter. It is not a one-eyed bird; it is a bird that has tilted its head. Do you now understand why?

Ch as

e Sw

ift /G

et ty

Im ag

es

08202_ch05_ptg01.indd 151 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

152 CHAPTER 5 Vision

(a) (b)

Cones in fovea

Bipolar cells

Rods in periphery

Bipolar cells

Figure 5.6 Convergence of input onto bipolar cells In the fovea, each bipolar cell receives excitation from just one cone (and inhibition from a few surrounding cones), and relays its information to a single midget ganglion cell. In the periphery, input from many rods converges onto each bipolar cell, resulting in higher sensitivity to faint light and low sensitivity to spatial location.

Rod

(a) (b)

Cone

X

X

T

ATE

Visual Receptors: Rods and Cones The vertebrate retina contains two types of receptors: rods and cones (see Figure 5.7). The rods, abundant in the periphery of the human retina, respond to faint light but are not useful in daylight because bright light bleaches them. Cones, abundant in and near the fovea, are less active in dim light, more useful in bright light, and essential for color vision. Because of the distribution of rods and cones, you have good color vision in the fovea but not in the periphery. Table 5.1 summarizes the differences between foveal and peripheral vision.

to see up better than they see down (Lund, Lund, & Wise, 1974). You can see the evolutionary advantages for these species.

Toward the periphery of the retina, more and more re- ceptors converge onto bipolar and ganglion cells, as shown in Figure 5.6. As a result, the brain cannot detect the exact lo- cation or shape of a peripheral light source (Rossi & Roorda, 2010). However, the summation enables perception of fainter lights in the periphery. In short, foveal vision has better acuity (sensitivity to detail), and peripheral vision has better sensitiv- ity to dim light.

In the periphery, your ability to detect detail is limited by interference from other nearby objects (Pelli & Tillman, 2008). In the following displays, focus on the x. For the first display, you can probably identify the letter to the right. For the second display, it is harder to read that same letter in the same location, because of interference from the neighboring letters.

TRY IT YOURSELF

Figure 5.7 Structure of rod and cone (a) Diagram of a rod and a cone. (b) Photo of rods and a cone, produced with a scanning electron microscope. Magnification x 7000. (Source: Reprinted from Brain Research, 15(2), E.R. Lewis, Y.Y. Zeevi and F.S. Werblin, Scanning electron microscopy of vertebrate visual receptors, 1969, with permission from Elsevier.)

08202_ch05_ptg01.indd 152 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 153

visual stimuli (Halpern, Andrews, & Purves, 1999). Heightened visual responses are valuable in many activities, especially in sports that require aim. Researchers find that top performers in tennis, squash, fencing, baseball, and badminton show en- hanced processing of visual stimuli, compared to other people (Muraskin, Sherwin, & Sajda, 2015; Nakata, Yoshie, Miura, & Kudo, 2010; C.-H. Wang et al., 2015). Of course, excellent vision is hardly the only ingredient for athletic success, but it helps.

Both rods and cones contain photopigments, chemi- cals that release energy when struck by light. Photopigments consist of 11-cis-retinal (a derivative of vitamin A) bound to proteins called opsins, which modify the photopigments’ sen- sitivity to different wavelengths of light. Light converts 11-cis- retinal to all-trans-retinal, thus releasing energy that activates second messengers within the cell (Q. Wang, Schoenlein, Pe- teanu, Mathies, & Shank, 1994). (The light is absorbed in this process. It does not continue to bounce around the eye.)

Although rods outnumber cones by about 20 to 1 in the human retina, cones provide about 90 percent of the brain’s input (Masland, 2001). Remember the midget ganglion cells: In the fovea, each cone has its own line to the brain. In the periphery (mostly rods), each receptor shares a line with tens or hundreds of others. Overall, 120 million rods and 6 million cones converge onto 1 million axons in the optic nerve, on average.

A 20:1 ratio of rods to cones may sound high, but the ratio is much higher in species that are active at night. South American oilbirds, which live in caves and emerge only at night, have about 15,000 rods per cone. As a further adaptation to detect faint lights, their rods are packed three deep throughout the retina (Martin, Rojas, Ramírez, & McNeil, 2004).

People vary substantially in the number of axons in their optic nerve and the size of the visual cortex, largely for genetic reasons (Bakken et al., 2012). Some people have two or three times as many axons from the eyes to the brain as others do. They also have more cells in their visual cortex (Andrews, Halpern, & Purves, 1997; Stevens, 2001; Sur & Leamey, 2001) and greater ability to detect brief, faint, or rapidly changing

STOP & CHECK 5. You sometimes find that you can see a faint star on a dark

night better if you look slightly to the side of the star instead of straight at it. Why?

6. If you found a species with a high ratio of cones to rods in its retina, what would you predict about its way of life?

ANSWERS

5. If you look slightly to the side, the light falls on an area of the retina with more rods and more convergence of input. 6. We should expect this species to be highly active during the day and seldom active at night.

Table 5.1 Human Foveal and Peripheral Vision

Characteristic Foveal Vision Peripheral Vision Receptors Cones only Proportion of rods

increases toward periphery

Convergence of input

Each ganglion cell excited by a single cone

Each ganglion cell excited by many receptors

Brightness sensitivity

Distinguishes among bright lights; responds poorly to dim light

Responds to dim light; poor for distinguishing among bright lights

Sensitivity to detail

Good detail vision because each cone’s own ganglion cell sends a message to the brain

Poor detail vision because many receptors converge their input onto a given ganglion cell

Color vision Good (many cones) Poor (few cones)

Color Vision Visible light consists of electromagnetic radiation within the range from less than 400 nm (nanometer, or 10–9 m) to more than 700 nm. We perceive the shortest visible wavelengths as violet. Progressively longer wavelengths are perceived as blue, green, yellow, orange, and red (see Figure 5.8). We call these wavelengths “light” only because the receptors in our eyes are tuned to detecting them. If we had different receptors, we would define light differently. Indeed, many species of birds,

350 Violet

Gamma rays FM AMRadar AC circuits

TVX- ray

Infrared rays

Ultra violet rays

10–3

Wavelength (nm)

10–1 101 103 105 107 109 1011 1013 1015

500 Green

600 Yellow

700 Red

Figure 5.8 A beam of light separated into its wavelengths Although the wavelengths vary as a con- tinuum, we perceive distinct colors.

Co lin

B la

ke m

or e/

Ox fo

rd U

ni ve

rs ity

08202_ch05_ptg01.indd 153 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

154 CHAPTER 5 Vision

cone types. Each cone responds to a broad range of wave- lengths but to some more than others.

According to the trichromatic theory, we discriminate among wavelengths by the ratio of activity across the three types of cones. For example, light at 550 nm excites the medium- wavelength and long-wavelength receptors about equally and the short-wavelength receptor almost not at all. This ratio of responses among the three cones determines a perception of yellow-green. More intense light increases the activity of all three cones without much change in their ratio of responses. As a result, the light appears brighter but still the same color. When all three types of cones are equally active, we see white or gray.

Think about this example of coding: Your perception of color depends on the frequency of response in each cell rela- tive to the frequency of other cells. The response of any one cone is ambiguous. For example, a low response rate by a middle-wavelength cone might indicate low-intensity 540 nm light or brighter 500 nm light or still brighter 460 nm light. The nervous system determines the color of the light by com- paring the responses of different types of cones.

Given the desirability of seeing all colors in all locations, we might suppose that the three kinds of cones would be equally abun- dant and evenly distributed. In fact, they are not. Long- and medium-wavelength cones are far more abundant than short-wavelength (blue) cones. Con- sequently, it is easier to see tiny red, yellow, or green dots than blue dots (Roorda & Williams, 1999). Try this: Look at the dots in the following display, first from close and then from greater distances. You probably will notice that the blue dots look blue when close but appear black from a greater distance. The other colors remain distinct when the blue is not.

fish, and insects have visual receptors sensitive to what we call ultraviolet radiation (Stevens & Cuthill, 2007). Of course, we cannot know what it looks like to them, but so far as they are concerned, ultraviolet radiation is a type of light. In some spe- cies of birds, the male and female look alike to us, but different to birds, because the male reflects more ultraviolet light.

The Trichromatic (Young-Helmholtz) Theory People distinguish red, green, yellow, blue, orange, pink, pur- ple, greenish blue, and so forth. Presuming that we don’t have a separate receptor for every possible color, how many recep- tor types do we have?

The first person to advance our understanding on this question was an amazingly productive man named Thomas Young (1773–1829). Young was the first to start deciphering the Rosetta stone. He also founded the modern wave theory of light, defined energy in its modern form, founded the calcula- tion of annuities, introduced the coefficient of elasticity, dis- covered much about the anatomy of the eye, and made major contributions to other fields (Martindale, 2001). Previous scientists thought they could explain color by understanding the physics of light. Young recognized that color required a biological explanation. He proposed that we perceive color by comparing the responses across a few types of receptors, each of which was sensitive to a different range of wavelengths.

This theory, later modified by Hermann von Helmholtz, is now known as the trichromatic theory of color vision, or the Young-Helmholtz theory. According to this theory, we perceive color through the relative rates of response by three kinds of cones, each one maximally sensitive to a different set of wavelengths. (Trichromatic means “three colors.”) How did Helmholtz decide on the number three? He found that people could match any color by mixing appropriate amounts of just three wavelengths. Therefore, he concluded that three kinds of receptors—we now call them cones—are sufficient to ac- count for human color vision.

Figure 5.9 shows wavelength-sensitivity functions for the short-wavelength, medium-wavelength, and long-wavelength

100

75

50

25

0 400 450 500 550 600 650

Response of short- wavelength cones

Response of medium- wavelength cones

Response of long- wavelength cones

Rods

Pe rc

en ta

g e

o f

m ax

im um

r es

p o

n se

Wavelength (nanometers)

Figure 5.9 Responses of rods and three kinds of cones Note that each kind responds somewhat to a wide range of wavelengths but best to wavelengths in a particular range. (Source: Adapted from Bowmaker & Dartnall, 1980)

TRY IT YOURSELF

Jo se

H ue

sc a/

N ew

sc om

/E ur

op ea

n Pr

es sp

ho to

Ag

en cy

/M ad

rid /S

pa in

08202_ch05_ptg01.indd 154 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 155

yellow to blue, and another from white to black. After you stare at one color in one location long enough, you fatigue that response and swing to the opposite.

Part of the explanation for this process pertains to the connections within the retina. For example, imagine a bipolar cell that receives excitation from a short-wavelength cone and inhibition from long- and medium-wavelength cones. It in- creases its activity in response to short-wavelength (blue) light and decreases it in response to yellowish light. After prolonged exposure to blue light, the fatigued cell decreases its response. Because a low level of response by that cell usually means yellow, you perceive yellow. When researchers around 1950 first demon- strated that certain neurons in the visual system increased their activity in response to one wavelength of light and decreased it to another, they revolutionized our understanding of vision, and of the nervous system in general (Jacobs, 2014).

However, that explanation cannot be the whole story. Try this: Stare at the x in the fol- lowing diagram for about a minute under a bright light and then look at a white page.

Although the short-wavelength (blue) cones are about evenly distributed across the retina, the other two kinds are dis- tributed haphazardly, with big differences among individuals (Solomon & Lennie, 2007). Figure 5.10 shows the distribution of short-, medium-, and long-wavelength cones in two people’s retinas, with colors artificially added to distinguish them. Note the patches of all medium- or all long-wavelength cones. Some people have more than 10 times as many of one kind as the other. Surprisingly, these variations produce only small differ- ences in people’s color perceptions (Solomon & Lennie, 2007).

In the retina’s periphery, cones are so scarce that you have no useful color vision (Diller et al., 2004; P. R. Martin, Lee, White, Solomon, & Rütiger, 2001). Try this: Get someone to put a colored dot on the tip of your finger without telling you the color. A spot of colored ink will do. While keep- ing your eyes straight ahead, slowly move your finger from be- hind your head into your field of vision and gradually toward your fovea. At what point do you first see your finger? At what point do you see the color? Certainly you see your finger before you see the color. The smaller the dot, the farther you have to move it into your visual field—that is, the part of the world that you see—before you can identify the color.

The Opponent-Process Theory The trichromatic theory is incomplete as a theory of color vision. For example, try the fol- lowing demonstration: Pick a point near the center of Figure 5.11 and stare at it under a bright light, without moving your eyes, for a minute. (The brighter the light and the longer you stare, the stronger the effect.) Then look at a plain white surface, such as a wall or a blank sheet of paper. Keep your eyes steady. You will see a negative color afterimage, a replacement of the red you had been staring at with green, green with red, yellow and blue with each other, and black and white with each other.

To explain this and related phenomena, Ewald Hering, a 19th-century physiologist, proposed the opponent-process theory: We perceive color in terms of opposites (Hurvich & Jameson, 1957). That is, the brain has a mechanism that per- ceives color on a continuum from red to green, another from

Figure 5.10 Distribution of cones in two human retinas Investigators artificially colored these images of cones from two people’s retinas, indicating short- wavelength cones with blue, medium-wavelength cones with green, and long-wavelength cones with red. Note the difference between the two people, the scarcity of short-wavelength cones, and the patchiness of the distributions. (Source: Reprinted by permission from Macmillan Publishers Ltd: Nature, The arrangement of the three cone classes in the living human eye, Roorda & Williams, 1999)

TRY IT YOURSELF

TRY IT YOURSELF

Figure 5.11 Stimulus for demonstrating negative color afterimages Stare at one point under bright light for about a minute, without moving your eyes, and then look at a white field. You should see two oranges, a lime, two bananas, and two apples, all in their normal color.

TRY IT YOURSELF

Jo E

lle n

Ka la

t

08202_ch05_ptg01.indd 155 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

156 CHAPTER 5 Vision

If you see a whole green square, it is the afterimage of an illusion! The red square you “saw” wasn’t really there. This demonstration suggests that afterimages depend on the whole context, not just the light on individual receptors. The cerebral cortex must be responsible, not the bipolar or gan- glion cells.

For the afterimage of the surrounding area, you saw red, as the theory predicts. But what about the circle inside? Theo- retically, you should see a gray or black afterimage (the op- posite of white), but in fact, if you used a bright enough light, you saw a green afterimage. What you saw in the surround influenced what you saw in the center.

Here is another demonstration: First, look at Figure 5.12. Note that although it shows four red quarter circles, you have the illusion of a whole red square. (Look carefully to con- vince yourself that it is an illusion.) Now stare at the x in Figure 5.12 for at least a minute under bright lights. Then look at a white surface.

People usually report that the afterimage fluctuates. Sometimes, they see four green quarter circles:

X

TRY IT YOURSELF

And sometimes, they see a whole green square (Shimojo, Kamitani, & Nishida, 2001):

x

Figure 5.12 An afterimage hard to explain in terms of the retina Stare at the x under bright light for a minute and then look at a white surface. Many people report an alternation between two afterimages, one of them based on the illusion of a red square. (Source: Reprinted with permission from “Afterimage of perceptually filled-in surface,” by S. Shimojo, Y. Kamitani, and S. Nishida, 2001, Science, 293, 1677–1680, specifically Figure 1A, p. 1678 (left hand). Copyright 2001 American Association for the Advance- ment of Science.)

STOP & CHECK 7. Examine Figure 5.9. According to the trichromatic theory,

what causes you to perceive red? 8. According to the opponent-process theory, under what cir-

cumstance would you perceive a white object as blue?

ANSWERS

7. Activity of the long-wavelength cone is not sufficient. In fact, notice that the long-wavelength cone responds to what we call yellow more than to what we call red. A perception of red occurs only if the long-wavelength cone has a high ratio of response relative to the other two types of cone. 8. If you stared at a bright yellow object for a minute or so and then looked at a white object, it would appear blue.

The Retinex Theory The trichromatic theory and the opponent-process theory cannot easily explain color constancy, the ability to recog- nize colors despite changes in lighting (Kennard, Lawden, Morland, & Ruddock, 1995; Zeki, 1980, 1983). If you wear green-tinted glasses or replace your white light bulb with a green one, you still identify bananas as yellow, paper as white, and so forth. Your brain compares the color of one object with the color of another, in effect subtracting a certain amount of green from each.

To illustrate, examine Figure 5.13 (Purves & Lotto, 2003). Although different colors of light illuminate the two objects at the top, you easily identify the squares as red, yel- low, blue, and so forth. Note the result of removing context. The bottom part shows the squares that looked blue in the top left part and yellow in the top right part. Without the context that indicated yellow light or blue light, all these squares look gray. For this reason, we should avoid talking about the color of a wavelength of light. A certain wave- length of light can appear as different colors depending on the background.

Similarly, we perceive the brightness of an object by comparing it to other objects. Examine Figure 5.14 (Purves, Shimpi, & Lotto, 1999). The object in the center appears to have a dark gray top and a white bottom. Now cover the border between the top and the bottom with a finger. You see that the top of the object has exactly the same brightness as the bottom! For additional examples like this, visit the

TRY IT YOURSELF

08202_ch05_ptg01.indd 156 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 157

(a)

(b)

(c)

Figure 5.13 Effects of context on color perception After removal of the context, squares that appeared blue on the left or yellow on the right now appear gray. (Source: From Why we see what we do, by D. Purves and R. B. Lotto, Figure 5.10, p. 134. Copyright 2003 Oxford Publishing Limited. Reprinted by permission.)

Figure 5.14 Brightness constancy In the center of this figure, do you see a gray object above and a white object below? Place a finger over the border between them and then compare the objects. (Source: From “An empirical explanation of cornsweet effect,” by D. Purves, A. Shimpi, and R. B. Lotto, Journal of Neuroscience, 19, p. 8542–8551. Copyright 1999 by the Society for Neuroscience.)

08202_ch05_ptg01.indd 157 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

158 CHAPTER 5 Vision

Color deficiency results because people with certain genes fail to develop one type of cone, or develop an abnormal type of cone (Nathans et al., 1989). In red-green color deficiency, the most common form of color deficiency, people have trouble distinguishing red from green because their long- and medium- wavelength cones have the same photopigment instead of different ones. The gene causing this deficiency is on the X chromosome. About 8 percent of northern European men (and a smaller percentage of men from other backgrounds) are red-green colorblind, compared with less than 1 percent of women (Bowmaker, 1998). Women with one normal gene and one color-deficient gene—and that includes all women with a red-green color-deficient father—are slightly less sensitive to red and green than the average for other people (Bimler & Kirkland, 2009).

Suppose an adult with a red-green deficiency suddenly developed all three types of normal cones. Would the brain start seeing in full color? No one has tested this question for people, but we do know what would happen for monkeys. Researchers took adult monkeys with red-green color defi- ciency from birth, and used gene therapy to add a third kind of cone to their retinas. They quickly learned to discriminate red from green (Mancuso et al., 2009). Evidently, the brain adapts to use the information it receives.

What would happen if people had a fourth type of cone? Actually, some women do, in a way. The long-wavelength cone shows genetic variation. At one point in the protein, most genes code for the amino acid serine but 16 to 38 per- cent of the genes (depending on people’s ethnic background) produce instead the amino acid alanine. Because the gene is on the X chromosome, a man has only one or the other. However, because women have two X chromosomes, some women have one long-wavelength receptor with serine and one with alanine. Those two versions of the long-wavelength receptor differ slightly in their responsiveness to light (Deeb, 2005). Women with different versions of that receptor make somewhat finer distinctions between one color and an- other, compared to other people (Jameson, Highnote, & Wasserman, 2001). Because some women have two types of long-wavelength receptors and others have just one, women’s performance on color vision tests is more variable than men’s is (Dees & Baraas, 2014).

website of Dale Purves, Center for Cognitive Neuroscience, Duke University.

To account for color and brightness constancy, Edwin Land proposed the retinex theory (a combination of the words retina and cortex): The cortex compares information from various parts of the retina to determine the brightness and color for each area (Land, Hubel, Livingstone, Perry, & Burns, 1983).

Dale Purves and colleagues have expressed a similar idea in more general terms: Whenever we see anything, we make an inference. For example, when you look at the objects in Figures 5.13 and 5.14, you ask yourself, “On occasions when I have seen something that looked like this, what was it really?” You go through the same process for perceiving shapes, mo- tion, or anything else (Lotto & Purves, 2002; Purves & Lotto, 2003). That is, visual perception requires reasoning and infer- ence, not just retinal stimulation.

STOP & CHECK 9. When a television set is off, its screen appears gray. When

you watch a program, parts of the screen appear black, even though more light is actually showing on the screen than when the set was off. What accounts for the black perception?

10. Figure 5.9 shows light at about 510 nm as green. Why should we nevertheless not call it “green light”?

ANSWERS

9. The black experience arises by contrast with the brighter areas around it. 10. Color perception depends not just on the wavelength of light from a given spot but also the light from surrounding areas. As in Figure 5.13, the context can change the color perception.

Color Vision Deficiency One of the first discoveries in psychology was colorblind- ness, better described as color vision deficiency. (Complete colorblindness, perception of only black and white, is rare.) Today we are familiar with the idea that some people see color better than others do, but before the 1600s, people assumed that everyone sees the same way, and that what we perceive is what the object actually is (Fletcher & Voke, 1985). Then investigators demonstrated that some people have otherwise satisfactory vision without seeing all the color that other people do. That is, color is in the brain, not in the light or the object itself. In contrast to our three types of cones, many birds, reptiles, and fish have four types (Bowmaker, 2008). So far as they are concerned, all humans are color deficient.

STOP & CHECK 11. Why is color vision deficiency a better term than color

blindness?

ANSWER

11. Very few people see the world entirely in black and white. The more common condition is difficulty discriminating red from green.

08202_ch05_ptg01.indd 158 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Visual Receptors

I remember once explaining to my then teenage son a newly discovered detail about the visual system, only to have him reply, “I didn’t realize it would be so complicated. I thought the light strikes your eyes and then you see it.” As you should now be starting to realize—and if not, the rest of the chapter should convince you—vision requires complicated processing. If you

tried to equip a robot with vision, you would quickly discover that shining light into its eyes accomplishes nothing, unless its visual detectors are connected to devices that identify the useful information and use it to select the proper action. We have such devices in our brains, and they produce the amazing results that we call vision.

Module 5.1 In Closing

Summary 1. You see because light strikes your retina, causing it to

send a message to your brain. You send no sight rays out to the object. 148

2. According to the law of specific nerve energies, the brain interprets any activity of a given sensory neuron as repre- senting a particular type of sensory information. 148

3. Sensory information is coded so that the brain can pro- cess it. The coded information bears no physical similarity to the stimuli it describes. 148

4. Light passes through the pupil of a vertebrate eye and stimulates the receptors lining the retina at the back of the eye. 149

5. The axons from the retina loop around to form the optic nerve, which exits from the eye at a point called the blind spot. 149

6. Visual acuity is greatest in the fovea, the central area of the retina. Because so many receptors in the periphery converge their messages to their bipolar cells, our periph- eral vision is highly sensitive to faint light but poorly sensitive to detail. 149

7. The retina has two kinds of receptors: rods and cones. Rods, more numerous in the periphery of the retina, are

more sensitive to faint light. Cones, more numerous in the fovea, are more useful in bright light. 152

8. People vary in their number of axons from the retina to the brain. Those with more axons show a greater ability to detect brief, faint, or rapidly changing stimuli. 153

9. According to the trichromatic (or Young-Helmholtz) theory of color vision, color perception begins with a given wavelength of light stimulating a distinctive ratio of responses by the three types of cones. 154

10. According to the opponent-process theory of color vision, visual system neurons beyond the receptors respond with an increase in activity to indicate one color of light and a decrease to indicate the opposite color. The three pairs of opposites are red-green, yellow-blue, and white-black. 155

11. According to the retinex theory, the cortex compares the responses across the retina to determine brightness and color of each object. 156

12. For genetic reasons, certain people are unable to distin- guish one color from another. Red-green color defi- ciency is the most common type. 158

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

bipolar cells 149 blind spot 149 color constancy 156 color vision deficiency 158 cones 152 fovea 149 ganglion cells 149

law of specific nerve energies 148 midget ganglion cells 150 negative color afterimage 155 opponent-process theory 155 optic nerve 149 photopigments 153 pupil 149

retina 149 retinex theory 158 rods 152 trichromatic theory (or Young-

Helmholtz theory) 154 visual field 155

5.1 Visual Coding 159

08202_ch05_ptg01.indd 159 9/15/17 6:47 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

160 CHAPTER 5 Vision

Module 5.1 End of Module Quiz

1. What happens when you see something? A. You send out sight rays that strike the object. B. Light rays reflect off the object and strike your

retina.

C. You send out sight rays, and light reflecting off the object strikes your retina.

D. You neither send out sight rays nor receive light rays onto your retina.

2. What is the route from retinal receptors to the brain? A. Receptors send axons directly to the brain. B. Receptors connect to bipolars, which connect to gan-

glion cells, which send axons to the brain.

C. Receptors connect to ganglion cells, which connect to bipolars, which send axons to the brain.

D. Receptors connect to amacrine cells, which send axons to the brain.

3. Where does the optic nerve exit from the retina? A. At the blind spot B. At the fovea

C. From the edge of the fovea D. Diffusely from all parts of the retina

4. Why is vision most acute at the fovea? A. The fovea is closest to the pupil. B. The fovea has an equal ratio of cones to rods.

C. The cornea produces the least distortion of light at the fovea.

D. Each receptor in the fovea has a direct line to the brain.

5. Vision in the periphery of the retina has poor sensitivity to detail but great sensitivity to faint light. Why? A. Toward the periphery, the retina has more midget

ganglion cells. B. Toward the periphery, the retina has more cones and

fewer rods.

C. Toward the periphery, the retina has more conver- gence of input.

D. Toward the periphery, the light falls farther from the blind spot.

6. Why do some people have greater than average sensitivity to brief, faint, or rapidly changing visual stimuli? A. They do not have a blind spot in their retina. B. The blind spot in their retina is smaller than average.

C. They have more axons from the retina to the brain. D. They have four types of cones instead of three.

7. Suppose you perceive something as red. According to the trichromatic theory, what is the explanation? A. Light from the object has excited your long-wave-

length cones more strongly than your other cones. B. Light from the object has excited your short-wave-

length cones more strongly than your other cones.

C. Ganglion cells that increase response to red and decrease their response to green are firing strongly.

D. The cortex compares activity over all parts of the retina and computes that one area is red.

8. If you stare at a white circle surrounded by a green background, and then look at a white surface, you perceive a green circle surrounded by a red background. What does this observation imply about the opponent-process theory? A. We perceive colors based on the pattern of input to

the bipolar and ganglion cells of the retina. B. The mechanisms of color vision vary from one species

to another.

C. Opponent-process color perception depends on the visual cortex, not just the cells in the retina.

D. The opponent-process theory is wrong.

How could you test for the presence of color vision in a bee? Examining the retina does not help because inver- tebrate receptors resemble neither rods nor cones. It is possible to train bees to approach one visual stimulus and not another. However, if you train bees to approach, say, a yellow card and not a green card, you do not know

whether they solved the problem by color or by bright- ness. Because brightness is different from physical inten- sity, you cannot assume that two colors equally bright to humans are also equally bright to bees. How might you get around the problem of brightness to test color vision in bees?

Thought Question

08202_ch05_ptg01.indd 160 9/15/17 6:54 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.1 Visual Coding 161

9. An object that reflects all wavelengths equally ordinarily appears gray, but it may appear yellow, blue, or any other color, depending on what? A. Brightness of the light B. Contrast with surrounding objects

C. The culture in which you grew up D. The ratio of cones to rods in your retina

10. Color vision deficiency demonstrates which fundamental point about perception? A. Color is in the brain and not in the light itself. B. Each sensory system depends on a different part of

the cerebral cortex.

C. Color perception varies because of cultural influences. D. Fatiguing a receptor can lead to a negative afterimage.

Answers: 1B, 2B, 3A, 4D, 5C, 6C, 7A, 8C, 9B, 10A.

08202_ch05_ptg01.indd 161 9/15/17 6:55 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

162

How the Brain Processes Visual Information

Module 5.2

V ision is complicated. We shall go through it in some detail, for two reasons. First, without vision and other senses, you would have no more mental experience than a tree does. Everything in psychology starts with sensations. Second, neu- roscientists have investigated vision in more detail than any- thing else that the brain does. Examining the mechanisms of vision illustrates what it means to explain something in bio- logical terms. It provides a model of what we would like to accomplish eventually for other psychological processes.

An Overview of the Mammalian Visual System Let’s begin with a general outline of the anatomy of the mam- malian visual system. The rods and cones of the retina make synapses with horizontal cells and bipolar cells (see Figures 5.3 and 5.15). The horizontal cells make inhibitory contact onto bipolar cells, which in turn make synapses onto amacrine cells and ganglion cells. All these cells are within the eyeball.

The axons of the ganglion cells form the optic nerve, which leaves the retina and travels along the lower surface of the brain. The optic nerves from the two eyes meet at the op- tic chiasm (see Figure 5.16a), where, in humans, half of the axons from each eye cross to the opposite side of the brain. As shown in Figure 5.16b, information from the nasal half of each eye (the side closer to the nose) crosses to the contralateral hemisphere. Information from the temporal half (the side to- ward the temporal cortex) goes to the ipsilateral hemisphere. The percentage of crossover varies from one species to an- other depending on the location of the eyes. In species with eyes far to the sides of the head, such as rabbits and guinea pigs, nearly all axons cross to the opposite side.

Most ganglion cell axons go to the lateral geniculate nucleus, part of the thalamus. (The term geniculate comes from the Latin root genu, meaning “knee.” To genuflect is to bend the knee. The lateral geniculate looks somewhat like a knee, if you use some imagination.) A smaller number of ax- ons go to the superior colliculus and other areas, including part of the hypothalamus that controls the waking–sleeping

Receptors

Bipolar cells

Ganglion cells Axons from ganglion cells(b)

A A

B BBB

R R

B B

G G G G

Rod and cone receptors (R)

Outer segment

Inner segment

Optic nerve fibers

Horizontal cell (H)

Bipolar cells (B)

Amacrine cells (A)

Ganglion cells (G)

Light rays

(a)

R R R R

R R R

H

Figure 5.15 The vertebrate retina The top of the figure is the back of the retina. The optic nerve fibers group together and exit through the back of the retina, in the “blind spot” of the eye. (Source: Based on “Organization of the primate retina,” by J. E. Dowling and B. B. Boycott, Proceedings of the Royal Society of London, B, 1966, 166, pp. 80–111. Used by permission of the Royal Society of London and John Dowling.)

Ra lp

h C.

E ag

le J

r./ Sc

ie nc

e So

ur ce

08202_ch05_ptg01.indd 162 9/15/17 6:48 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 163

place to be? You don’t want to be in the middle of the group who receive cookies, because after gaining 5 you would have to throw away one of your own and lose one to each of your neighbors (a total loss of 3). But if you’re either the first or last person to receive a cookie, you’ll throw one away and lose one to just one neighbor (a total loss of 2). The worst place to be is right before or after the group receiving cookies. You would receive none, and lose the one you already had. The result is a sharp contrast at the border between those receiving cookies and those not.

The analogy may sound silly—okay, it is silly—but it il- lustrates something that happens in the retina. The receptors send messages to excite nearby bipolar cells (like giving them cookies) and also send messages to horizontal cells that slightly inhibit those bipolar cells and the neighbors to their sides (like subtracting cookies). The net result is to heighten the contrast between an illuminated area and its darker surround.

Actually, light striking the rods and cones decreases their spontaneous output, and the receptors make inhibitory syn- apses onto the bipolar cells. Therefore, light on the rods or cones decreases their inhibitory output. A decrease in inhibi- tion means net excitation, so to avoid double negatives, let’s think of the receptors’ output as excitation of the bipolar cells.

In the fovea, each cone attaches to just one bipolar cell. We’ll consider that simple case. In the following diagram, green arrows represent excitation, and the width of an arrow indicates the amount of excitation. Receptor 8, which is high- lighted, excites bipolar cell 8. It also excites a horizontal cell, which inhibits a group of bipolar cells, as shown by red ar- rows. Because the horizontal cell spreads widely, excitation of any receptor inhibits the surrounding bipolar cells. However, because the horizontal cell is a local cell, with no axon and

schedule. The lateral geniculate, in turn, sends axons to other parts of the thalamus and the visual cortex. Axons return- ing from the cortex to the thalamus modify thalamic activity (Ling, Pratte, & Tong, 2015).

Retina

Lateral geniculate nucleus of thalamus

Visual cortex

Optic nerve

Optic chiasm

Superior colliculus

(a)

Visual field of right retina (reversed by the lens)

Nasal half of each visual field crosses to opposite hemisphere.

Right visual cortex’s view of the right eye’s field

Left visual cortex’s view of the right eye’s field

Optic nerve

Optic tract

Lateral geniculate

Optic chiasm

Primary visual cortex

Left Right

(b)

Figure 5.16 Major connections in the visual system (a) Part of the visual input goes to the thalamus and from there to the visual cortex. Another part goes to the superior colliculus. (b) Axons from the retina maintain their relationship to one another—what we call their retinotopic organization—throughout their journey from the retina to the lateral geniculate and then from the lateral geniculate to the cortex.

STOP & CHECK 12. Where does the optic nerve start and where does it end?

ANSWER

12. It starts with the ganglion cells in the retina. Most of its axons go to the lateral geniculate nucleus of the thalamus, but some go to the hypothalamus and superior colliculus.

Processing in the Retina Combined, your two eyes include about a quarter of a billion receptors. Your brain would not be able to handle a quarter of a billion separate messages, nor would that much informa- tion be useful. You need to extract the meaningful patterns. To understand how the wiring diagram of your retina highlights those patterns, let’s start by exploring one example in detail: lateral inhibition.

Lateral inhibition is the retina’s way of sharpening con- trasts to emphasize the borders of objects. For analogy, sup- pose 15 people stand in a line. At first, each holds one cookie. Now someone hands 5 extra cookies to the 5 people in the middle of the line, but then each of those 5 people has to throw away one of his or her own cookies, and throw away one cookie that the person on each side is holding. Presuming that you want as many cookies as possible, where is the best

08202_ch05_ptg01.indd 163 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

164 CHAPTER 5 Vision

These results illustrate lateral inhibition, the reduction of ac- tivity in one neuron by activity in neighboring neurons (Har- tline, 1949). Lateral inhibition heightens contrast. When light falls on a surface, as shown here, the bipolars just inside the border are most excited, and those outside the border respond the least.

Lateral inhibition is important for many functions in the nervous system. In olfaction, a strong stimulus can suppress the response to another one that follows slightly after it, be- cause of inhibition in the olfactory bulb (Whitesell, Sorensen, Jarvie, Hentges, & Schoppa, 2013). In touch, stimulation of one spot on the skin weakens the response to stimulation of a neighboring spot, again by lateral inhibition (Severens, Farquhar, Desain, Duysens, & Gielen, 2010). In hearing, inhi- bition makes it possible to understand speech amid irrelevant noise (Bashford, Warren, & Lenz, 2013).

no action potentials, its depolarization decays with distance. The horizontal cell inhibits bipolar cells 7 through 9 strongly, bipolars 6 and 10 a bit less, and so on. Bipolar cell 8 shows net excitation, because the excitatory synapse outweighs the effect of the horizontal cell’s inhibition. (It’s like gaining some cookies and then losing a smaller number.) However, the bi- polar cells to the sides (laterally) get no excitation but some inhibition by the horizontal cell. (They gained none and then they lost some.) Bipolar cells 7 and 9 are strongly inhibited, and bipolars 6 and 10 are inhibited less. In this diagram, the thickness of the arrow indicates the amount of excitation or inhibition. The lightness of blue indicates the net amount of excitation in each bipolar cell.

151413121110987654321

Receptors

Horizontal cell

Bipolar cells

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Direction of light

Now imagine that light excites receptors 6 through 10. These receptors excite bipolar cells 6 through 10 and the horizontal cell. Bipolar cells 6 through 10 all receive the same amount of excitation. Bipolar cells 7, 8, and 9 are inhibited by input on both sides, but bipolar cells 6 and 10 are inhibited from one side and not the other. That is, the bipolar cells in the middle of the excited area are inhibited the most, and those on the edges are inhibited the least. Therefore, bipolar cells 6 and 10, the ones on the edges of the field of excitation, respond more than bipolars 7 through 9.

Next, consider bipolar cells 5 and 11. What excitation do they receive? None. However, the horizontal cell inhibits them. Therefore, receiving inhibition but no excitation, they respond less than bipolar cells that are farther from the area of excitation.

54321

Receptors

Horizontal cell

Bipolar cells

1

Area of darkness

2 3 4 5 6 7 8 9 10 11 12 13 14 15

1514131211109876

Area of light on the retina

Area of darkness

STOP & CHECK 13. When light strikes a receptor, does the receptor excite or

inhibit the bipolar cells? What effect does it have on hori- zontal cells? What effect does the horizontal cell have on bipolar cells?

14. If light strikes only one receptor, what is the net effect (excit- atory or inhibitory) on the nearest bipolar cell that is directly connected to that receptor? What is the effect on bipolar cells to the sides? What causes that effect?

15. Examine Figure 5.17. You should see grayish diamonds at the crossroads among the black squares. Explain why.

ANSWERS

13. The receptor excites both the bipolar cells and the horizontal cell. The horizontal cell inhibits the same bipo- lar cell that was excited plus additional bipolar cells in the surround. 14. It produces more excitation than inhibition for the nearest bipolar cell. For surrounding bipolar cells, it produces only inhibition. The reason is that the recep- tor excites a horizontal cell, which inhibits all bipolar cells in the area. 15. In the parts of your retina that look at the long white arms, each neuron is inhibited by white input on two of its sides (either above and below or left and right). In the crossroads, each neuron is in hibited by input on all four sides. Therefore, the response in the crossroads is decreased compared to that in the arms.

Further Processing Each cell in the visual system of the brain has a receptive field, an area in visual space that excites or inhibits it. The receptive field of a rod or cone is simply the point in space from which light strikes the cell. Other visual cells derive their receptive fields from the connections they receive. This concept is im- portant, so let’s spend some time with it. Suppose you keep track of the events on one city block. We’ll call that your re- ceptive field. Someone else keeps track of events on the next block, another person on the block after that, and so on. Now suppose that everyone responsible for a block on your street

08202_ch05_ptg01.indd 164 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 165

Primate ganglion cells fall into three categories: parvo- cellular, magnocellular, and koniocellular (Nassi & Callaway, 2009). The parvocellular neurons, with small cell bodies and small receptive fields, are mostly in or near the fovea. (Parvo- cellular means “small celled,” from the Latin root parv, mean- ing “small.”) The magnocellular neurons, with larger cell bodies and receptive fields, are distributed evenly throughout the retina. (Magnocellular means “large celled,” from the Latin root magn, meaning “large.” The same root appears in mag- nify.) The koniocellular neurons have small cell bodies, simi- lar to the parvocellular neurons, but they occur throughout the retina. (Koniocellular means “dust celled,” from the Greek root meaning “dust.” They got this name because of their gran- ular appearance.)

The parvocellular neurons, with their small receptive fields, are well suited to detect visual details. They also respond to color, each neuron being excited by some wavelengths and inhibited by others. The high sensitivity to detail and color relates to the fact that parvocellular cells are located mostly in and near the fovea, which has many cones. The magnocel- lular neurons, with larger receptive fields, respond strongly to movement and large overall patterns, but they do not respond to color or fine details. Magnocellular neurons are found throughout the retina, including the periphery. Koniocellular

reports to a supervisor. That supervisor’s receptive field is the whole street, because it includes reports from each block on the street. The supervisors for several streets report to the neighborhood manager, whose receptive field is the whole neighborhood. The neighborhood manager reports to a dis- trict chief, and so on.

The same idea applies to vision and other sensations. A rod or cone has a tiny receptive field in space to which it is sensitive. One or more receptors connect to a bipolar cell, with a receptive field that is the sum of the receptive fields of all those rods or cones connected to it (including both excit- atory and inhibitory connections). Several bipolar cells report to a ganglion cell, which therefore has a still larger receptive field, as shown in Figure 5.18. The receptive fields of several ganglion cells converge to form the receptive field at the next level, and so on.

To find a cell’s receptive field, an investigator records from the cell while shining light in various locations. If light from a particular spot excites the neuron, then that location is part of the neuron’s excitatory receptive field. If it inhibits activity, the location is in the inhibitory receptive field.

A ganglion cell has a receptive field consisting of a cir- cular center and an antagonistic doughnut-shaped surround. That is, the receptive field might be excited by light in the cen- ter and inhibited by light in the surround, or the opposite.

Figure 5.17 An illustration of lateral inhibition Do you see dark diamonds at the “crossroads”?

Receptive �eld of this receptor (point in visual �eld that can affect it)

Receptor

Receptors connect through bipolar cells to a given ganglion cell

Ganglion cell

Combined receptive �eld of the ganglion cell

Bipolar cells

Receptors

Figure 5.18 Receptive fields The receptive field of any neuron in the visual system is the area of the visual field that excites or inhibits it. Receptors have tiny receptive fields and later cells have progressively larger receptive fields.

Inhibitory part of receptive �eld

Excitatory part of receptive �eld

08202_ch05_ptg01.indd 165 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

166 CHAPTER 5 Vision

something, activity increases in area V1 in a pattern similar to what happens when you actually see that object (Kosslyn & Thompson, 2003; Stokes, Thompson, Cusack, & Duncan, 2009). If you see an optical illusion, the activity in area V1 cor- responds to what you think you see, not what the object really is (Sperandie, Chouinard, & Goodale, 2012). Although we do not know the exact role of area V1 in consciousness, V1 is apparently necessary for it. People with damage to area V1 re- port no conscious vision, no visual imagery, and no visual im- ages in their dreams (Hurovitz, Dunn, Domhoff, & Fiss, 1999). In contrast, adults who lose vision because of eye damage con- tinue to have visual imagery and visual dreams.

Some people with damage to area V1 show a surprising phenomenon called blindsight, the ability to respond in limited ways to visual information without perceiving it consciously. Within the damaged part of their visual field, they are unaware of visual input, unable even to distinguish between bright sun- shine and utter darkness. Nevertheless, they might be able to point accurately to something in the area where they cannot see, or move their eyes toward it, while insisting that they are “just guessing” (Bridgeman & Staggs, 1982; Weiskrantz, Warrington, Sanders, & Marshall, 1974). Some blindsight patients can reach for an object they cannot consciously see, avoiding obstacles in the way (Striemer, Chapman, & Goodale, 2009). Some can identify an object’s color, direction of movement, or approxi- mate shape, also insisting that they are just guessing (Radoeva, Prasad, Brainard, & Aguirre, 2008). Some can identify or copy the emotional expression of a face that they insist they do not see (Gonzalez Andino, de Peralta Menendez, Khateb, Landis, & Pegna, 2009; Tamietto et al., 2009). With practice, blindsight can improve (Das, Tadin, & Huxlin, 2014).

The research supports two explanations for blindsight: First, in some cases, small islands of healthy tissue remain within an otherwise damaged visual cortex, not large enough to provide conscious perception but enough to support lim- ited visual functions (Fendrich, Wessinger, & Gazzaniga, 1992; Radoeva et al., 2008). Second, the thalamus sends visual input to several other brain areas, including parts of the tem- poral cortex (Schmid et al., 2013). In one study, every patient with blindsight had intact connections from the thalamus to the temporal cortex, whereas blindsight was absent for people without those connections (Ajina, Pestilli, Rokem, Kennard, & Bridge, 2015). In any case, the conclusion remains that con- scious visual perception requires activity in area V1.

Even if your brain is intact, you can experience something like blindsight under certain circumstances. Researchers set up an apparatus so that people saw a face or a tool for three-tenths of a second in just one eye, while the other eye was viewing a display that changed 10 times a second. In this procedure, known as continuous flash suppression, a viewer is conscious of the rapidly changing stimuli and not the steady picture. However, even though people insisted they did not see a face or tool, when they were asked to guess where it was (upper left, upper right, lower left, or lower right), they were correct almost half the time, as opposed to the one-fourth we could expect by chance (Hesselmann, Hebart, & Malach, 2011).

neurons have several functions, and their axons terminate in several locations (Hendry & Reid, 2000). The existence of so many kinds of ganglion cells implies that the visual system analyzes information in many ways from the start. Table 5.2 summarizes the three kinds of primate ganglion cells.

Axons from the ganglion cells form the optic nerve, which proceeds to the optic chiasm, where half of the axons (in hu- mans) cross to the opposite hemisphere. Most of the axons go to the lateral geniculate nucleus of the thalamus. Cells of the lateral geniculate have receptive fields that resemble those of the ganglion cells—an excitatory or inhibitory central por- tion and a surrounding ring with the opposite effect. After the information reaches the cerebral cortex, the receptive fields become more complicated.

Table 5.2 Three Kinds of Primate Ganglion Cells

Parvocellular neurons

Magno- cellular neurons

Koniocellu- lar neurons

Cell bodies Small Large Small

Receptive fields Small Large Mostly small, but variable

Retinal location In and near fovea

Throughout the retina

Throughout the retina

Color sensitive? Yes No Some are

Respond to Detailed shape Movement and broad outlines of shape

Varied

STOP & CHECK 16. As we progress from bipolar cells to ganglion cells to later

cells in the visual system, are receptive fields ordinarily larger, smaller, or the same size? Why?

17. What are the differences between the parvocellular and magnocellular systems?

ANSWERS

16. They become larger because each cell’s receptive field is made by inputs converging at an earlier level. 17. Neurons of the parvocellular system have small cell bodies with small receptive fields, are located mostly in and near the fovea, and are specialized for detailed and color vision. Neurons of the magnocellular system have large cell bodies with large receptive fields, are located in all parts of the retina, and are specialized for perception of large patterns and movement.

The Primary Visual Cortex Information from the lateral geniculate nucleus of the thala- mus goes to the primary visual cortex in the occipital cor- tex, also known as area V1 or the striate cortex because of its striped appearance. If you close your eyes and imagine seeing

08202_ch05_ptg01.indd 166 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 167

Hubel and Wiesel distinguished several types of cells in the visual cortex. Figure 5.19 illustrates the receptive field of a simple cell. A simple cell has a receptive field with fixed excit- atory and inhibitory zones. The more light shines in the excit- atory zone, the more the cell responds. The more light shines in the inhibitory zone, the less the cell responds. In Figure 5.19, the receptive field is a vertical bar. Tilting the bar slightly de- creases the cell’s response because light then strikes inhibitory regions as well. Moving the bar left, right, up, or down also reduces the response. Most simple cells have bar-shaped or edge-shaped receptive fields. More of them respond to hori- zontal or vertical orientations than to diagonals. That dispar- ity makes sense, considering the importance of horizontal

Simple and Complex Receptive Fields In the 1950s, David Hubel and Torsten Wiesel (1959) in- serted thin electrodes to record activity from cells in cats’ and monkeys’ occipital cortex while they shined light pat- terns on the retina. At first, they presented dots of light, using a slide projector and a screen, but they found little response by cortical cells. They wondered why cells were so unresponsive, when they knew the occipital cortex was essential for vision. Then they noticed a big response while they were moving a slide into place. They quickly realized that the cell was responding to the edge of the slide. It had a bar-shaped receptive field, rather than a circular receptive field like cells in the retina and lateral geniculate (Hubel & Wiesel, 1998). Their research, for which they received a No- bel Prize, has often been called “the research that launched a thousand microelectrodes” because it inspired so much further research. By now, it has probably launched a million microelectrodes.

STOP & CHECK 18. If you were in a darkened room and researchers wanted to

“read your mind” just enough to know whether you were having visual fantasies, what could they do?

19. What is an example of an unconscious response to visual information?

ANSWERS

18. Researchers could use fMRI, EEG, or other recording methods to see whether activity increased in your primary visual cortex. 19. In blindsight, someone can point toward an object or move the eyes toward the object, despite insisting that he or she sees nothing.

David Hubel (1926–2013) Brain science is difficult and tricky, for some reason; consequently one should not believe a result (one’s own or anyone else’s) until it is proven backwards and forwards or fits into a framework so highly evolved and systematic that it couldn’t be wrong. (Hubel, personal communication)

Torsten Wiesel (b. 1924) Neural connections can be modulated by environmental influences during a critical period of postnatal development. . . . Such sensitivity of the nervous system to the effects of experience may represent the fundamental mechanism by which the organism adapts to its environment during the period of growth and development. (Wiesel, 1982, p. 591)

Occipital cortex

Action potentials

Electrode

Horizontal line, no response

Stimulus on

Stimulus on

Stimulus on

Stimulus on

Stimulus on

The stimulus Cortical cell’s response to the stimulus

Near-vertical line, partial response

Vertical line, strong response

Figure 5.19 Responses of a cat’s simple cell to a bar of light This cell responds best to a vertical line in a particular location. Other simple cells respond to lines at other orientations. (Source: Right, from D. H. Hubel and T. N. Wiesel, “Receptive fields of single neurons in the cat’s striate cortex,” Journal of Physiology, 148, 1959, 574–591. Copyright © 1959 Cam- bridge University Press. Reprinted by permission.)

Co lin

B la

ke m

or e/

Ox fo

rd U

ni ve

rs ity

Jo se

H ue

sc a/

N ew

sc om

/E ur

op ea

n Pr

es sp

ho to

Ag

en cy

/M ad

rid /S

pa in

08202_ch05_ptg01.indd 167 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

168 CHAPTER 5 Vision

The Columnar Organization of the Visual Cortex Cells with similar properties group together in the visual cor- tex in columns perpendicular to the surface (Hubel & Wiesel, 1977) (see Figure 5.22). For example, cells within a given col- umn might respond to only the left eye, only the right eye, or both eyes about equally. Also, cells within a given column respond best to lines of a single orientation.

Figure 5.22 shows what happens when an investigator lowers an electrode through the visual cortex and records from each cell along the way. Each red line represents a neuron and shows the angle of orientation of its receptive field. In elec- trode path A, the first series of cells are all in one column and show the same orientation preferences. However, after passing through the white matter, the end of path A invades columns

and vertical objects in our world (Coppola, Purves, McCoy, & Purves, 1998).

Unlike simple cells, complex cells, located in areas V1 and V2, do not respond to the exact location of a stimulus. A complex cell responds to a pattern of light in a particular ori- entation (e.g., a vertical bar) anywhere within its large recep- tive field (see Figure 5.20). Most complex cells respond most strongly to a stimulus moving in a particular direction—for example, a vertical bar moving horizontally. The best way to classify a cell as simple or complex is to present the stimulus in several locations. A cell that responds to a stimulus in only one location is a simple cell. One that responds equally throughout a large area is a complex cell.

End-stopped, or hypercomplex, cells resemble com- plex cells with one exception: An end-stopped cell has a strong inhibitory area at one end of its bar-shaped recep- tive field. The cell responds to a bar-shaped pattern of light anywhere in its broad receptive field, provided the bar does not extend beyond a certain point (see Figure 5.21). Table 5.3 summarizes the properties of simple, complex, and end- stopped cells.

High response

High response

High response

Low response

Low response Time

Time when stimulus is present

Strong response Strong response

Strong response Weak or no response

Figure 5.20 The receptive field of a complex cell Like a simple cell, its response depends on a bar of light’s angle of orienta- tion. However, a complex cell responds the same for a bar in any location within a large receptive field.

Figure 5.21 The receptive field of an end-stopped cell The cell responds to a bar in a particular orientation (in this case horizon- tal) anywhere in its receptive field, provided the bar does not extend into a strongly inhibitory area.

STOP & CHECK 20. How could a researcher determine whether a given neuron in

the visual cortex is simple or complex?

ANSWER

20. First identify a stimulus, such as a horizontal line, that stimulates the cell. Then present the stimulus in several locations. If the cell responds strongly in only one location, it is a simple cell. If it responds in several locations, it is a complex cell.

08202_ch05_ptg01.indd 168 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 169

Are Visual Cortex Cells Feature Detectors? Given that neurons in area V1 respond strongly to bar- or edge-shaped patterns, we might suppose that the activity of such a cell represents the perception of a bar, line, or edge. That is, such cells might be feature detectors—neurons whose responses indicate the presence of a particular feature.

Supporting the idea of feature detectors is the fact that prolonged exposure to a given visual feature decreases sen- sitivity to that feature, as if it fatigued the relevant detectors. For example, if you stare at a waterfall for a minute or more and then look to the side, the rocks and trees next to the wa- terfall appear to flow upward. This waterfall illusion suggests that you have fatigued the neurons that detect downward motion, leaving unopposed the detectors for the opposite motion.

Long ago, Gestalt psychologists cast doubt on the idea that our vision depends entirely on feature detectors. For ex- ample, if you examine Figure 5.23, you might at first see noth- ing. Then suddenly you exclaim, “Oh, that’s a face! [pause] And another face!” Simply looking at these displays (known as Mooney faces) should excite whatever feature detectors your brain has, but seeing them as faces requires interpretation and reorganization of the material. When you start seeing them as faces, the pattern of responses in your visual cortex suddenly changes (Hsieh, Vul, & Kanwisher, 2010). That result implies “top-down” processes in which other brain areas interpret the visual stimulus and send messages back to reorganize the ac- tivity in the primary visual cortex. Similarly, when you see an optical illusion, it is due to feedback from other cortical areas to change responses in the primary visual cortex (Wokke, Van- denbroucke, Scholte, & Lamme, 2013). Your brain’s response to any visual stimulus depends on your expectations as well as on the stimulus itself (Roth et al., 2016). In other words, excita- tion of feature detectors is not sufficient to explain all of vision.

Furthermore, later researchers found that a cortical cell that responds well to a single bar or line

with different preferred orientations. Electrode path B, which is not perpendicular to the surface of the cortex, crosses through columns and encounters cells with different properties. In short, the cells within a given column process similar information. The existence of columns indicates that the various layers of the cerebral cortex communicate richly with one another, instead of being independent, as researchers at one time thought.

Table 5.3 Cells in the Primary Visual Cortex

Simple cells Complex cells End-stopped cells Location V1 V1 and V2 V1 and V2

Binocular input? Yes Yes Yes

Size of receptive field Smallest Medium Largest

Shape of receptive field Bar- or edge-shaped, with fixed excitatory and inhibitory zones

Bar- or edge-shaped, but responding equally throughout a large receptive field

Same as complex cell, but with a strong inhibitory zone at one end

Gray matter

A B

White matter

Figure 5.22 Columns of neurons in the visual cortex When an electrode passes perpendicular to the surface of the cortex (first part of line A), it encounters a sequence of neurons responsive to the same orientation of a stimulus. (The colored lines show the preferred stimulus orientation for each cell.) When an electrode passes across columns (B, or second part of A), it encounters neurons responsive to different orienta- tions. Column borders are drawn here to illustrate the point; no such borders are visible in the real cortex. (Source: Hubel, 1963)

STOP & CHECK 21. What do cells within a column of the visual cortex have in

common?

ANSWER

21. They respond best to lines in the same orientation. Also, they are similar in their preference for one eye or the other, or both equally.

08202_ch05_ptg01.indd 169 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

170 CHAPTER 5 Vision

Thus, a series of spatial frequency detectors, some sensitive to horizontal patterns and others to vertical patterns, could represent any possible display. Still, we perceive the world as objects, not sine waves. Output from the primary visual cortex leads to further processing in other brain areas, but exactly how a conscious visual perception emerges remains a fasci- nating mystery.

responds even more strongly to a sine wave grating of bars or lines:

Figure 5.23 Mooney faces At first glance, you may see only meaningless blobs. With some time and effort you may get an “Aha” experience when you suddenly see them as faces.

Many cortical neurons respond best to a particular spatial frequency and hardly at all to other frequencies (DeValois, Albrecht, & Thorell, 1982). Most visual researchers there- fore believe that neurons in area V1 detect spatial frequen- cies rather than bars or edges. If so, it is a feature detector for a feature that we don’t perceive consciously. How do we translate a series of spatial frequencies into perception? From a mathematical standpoint, sine wave frequencies are easy to work with. A branch of mathematics called Fourier analysis demonstrates that a combination of sine waves can produce an unlimited variety of other patterns. For example, the graph at the top of the following display is the sum of the five sine waves below it:

STOP & CHECK 22. What is a feature detector?

ANSWER

22. It is a neuron that detects the presence of a particular aspect of an object, such as a shape or a direction of movement.

Development of the Visual Cortex How do cells in the visual cortex develop their properties? Suppose you had lived all your life in the dark. Then today, for the first time, you came out into the light and looked around. Would you understand anything?

Unless you were born blind, you did have this experience— on the day you were born! At first, presumably you had no idea what you were seeing. Within months, however, you began to recognize faces and crawl toward your favorite toys. How did you learn to make sense of what you saw?

In a newborn mammal, many of the normal properties of the visual system develop normally at first, before birth (Lein & Shatz, 2001; Shatz, 1996). Waves of spontaneous activity sweep over the developing retina, synchronizing the activity of neighboring receptors and enabling appropriate combina- tions of receptors to establish connections with cells in the brain (Ackman, Burbridge, & Crair, 2012; Zhang, Ackman, Xu, & Crair, 2012). Still, when an animal first opens its eyes, cells of the visual system show patterns of activity that are little more than random noise. Watching a visual stimulus quickly reduces the noise (Smith et al., 2015).

08202_ch05_ptg01.indd 170 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 171

Uncorrelated Stimulation in the Two Eyes Most neurons in the human visual cortex respond to both eyes—specifically, to approximately corresponding areas of both eyes. By comparing the inputs from the two eyes, you achieve stereoscopic depth perception.

Stereoscopic depth perception requires the brain to detect retinal disparity, the discrepancy between what the left and right eyes see. Experience fine-tunes binocular vision, and abnormal experience disrupts it. Imagine a kit- ten with weak or damaged eye muscles so that its eyes do not point in the same direction. Both eyes are active, but no cortical neuron consistently receives messages from one eye that match messages from the other eye. Each neuron in the visual cortex becomes responsive to one eye or the other, and few neurons respond to both (Blake & Hirsch, 1975; Hubel & Wiesel, 1965). The behavioral result is poor depth perception.

A similar phenomenon occurs in humans. Certain chil- dren are born with strabismus (or strabismic amblyopia), also known as “lazy eye,” a condition in which the eyes do not point in the same direction. Generally, these children attend to one eye and not the other. The usual treatment is to put a patch over the active eye, forcing attention to the other one. That procedure works to some extent, especially if it begins early (Lewis & Maurer, 2005), but many children refuse to wear an eye patch for as long as they need to. In any case, the child is not learning to use both eyes at the same time.

A promising therapy for lazy eye is to ask a child to play three-dimensional action video games that require at- tention to both eyes. Good performance requires increasing attention to exactly the kind of input we want to enhance. This procedure appears to improve the use of both eyes better than patching does, although neither procedure has much effect on stereoscopic depth perception (S. Li et al., 2014).

What about connections beyond the primary visual cor- tex? A study of people who were born without eyes found that the connections from the primary visual cortex to its main targets were more or less normal (Bock et al., 2015). Evidently, certain axon paths develop automatically, without any need for guidance by experience. Nevertheless, visual experience after birth modifies and fine-tunes many of the connections.

Deprived Experience in One Eye What would happen if a young animal could see with one eye but not the other? When a kitten opens its eyes at about age 9 days, each neuron responds to areas in the two retinas that focus on approximately the same point in space—a process necessary for binocular vision. However, innate mechanisms cannot make the connections exactly right because the exact distance between the eyes varies from one kitten to another, and the distance changes over age. Therefore, experience is necessary for fine-tuning.

If an experimenter sutures one eyelid shut for a kitten’s first 4 to 6 weeks of life, synapses in the visual cortex gradually become unresponsive to input from the deprived eye (Ritten- house, Shouval, Paradiso, & Bear, 1999). After the deprived eye is opened, the kitten does not respond to it. A similar pe- riod of deprivation in older animals weakens the response to the deprived eye, but not as strongly as it does in young ones (Wiesel, 1982; Wiesel & Hubel, 1963). After an eye deprived of vision in adults is reopened, cells gradually return to their previous levels of responsiveness (Rose, Jaepel, Hübener, & Bonhoeffer, 2016).

Deprived Experience in Both Eyes If both eyes stayed shut for the first few weeks, what would you expect? You might guess that the kitten would become insensitive to both eyes, but it does not. When just one eye is open, the synapses from the open eye inhibit the synapses from the closed eye (Maffei, Nataraj, Nelson, & Turrigiano, 2006). If neither eye is active, no axon outcompetes any other. For at least 3 weeks, the kitten’s cortex remains responsive to visual input, although most cells become responsive to just one eye or the other and not both (Wiesel, 1982). If the eyes remain shut still longer, the cortical responses start to become sluggish and lose their well-defined receptive fields (Crair, Gillespie, & Stryker, 1998). Eventually, the visual cortex starts responding to auditory and touch stimuli instead.

For each aspect of visual experience, researchers iden- tify a sensitive period, when experiences have a particu- larly strong and enduring influence (Lewis & Maurer, 2005; Tagawa, Kanold, Majdan, & Shatz, 2005). The sensitive pe- riod depends on inhibitory neurons. In fact, a study with mice found that transplanting inhibitory neurons from an infant into an older mouse could induce a new period of heightened susceptibility to experience (Southwell, Froemke, Alvarez-Buylla, Stryker, & Gandhi, 2010). However, even

STOP & CHECK 23. What is the effect of closing one eye early in life? What is the

effect of closing both eyes?

ANSWER

23. If one eye is closed during early development, the cortex becomes unresponsive to it. If both eyes are closed, cortical cells remain somewhat responsive for several weeks and then gradually become sluggish and unselective in their responses.

long after the sensitive period, a prolonged experience— such as a full week without visual stimulation to one eye— produces a smaller but measurable effect on the visual cortex (Sato & Stryker, 2008). Cortical plasticity is greatest in early life, but it never ends.

08202_ch05_ptg01.indd 171 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

172 CHAPTER 5 Vision

What happens if human infants are exposed mainly to vertical or horizontal lines instead of both equally? They be- come more sensitive to the kind of line they have seen. You might wonder how such a bizarre thing could happen. No par- ents would let an experimenter subject their child to such a procedure, and it never happens in nature. Right?

Wrong. In fact, it probably happened to you! About 70 percent of all infants have astigmatism, a blurring of vision for lines in one direction (e.g., horizontal, vertical, or one of the diagonals), caused by an asymmetric curvature of the eyes. Normal growth reduces the prevalence of astigma- tism to about 10 percent in 4-year-old children.

You can informally test yourself for astigmatism with Figure 5.25. Do the lines in one direction look darker than

Early Exposure to a Limited Array of Patterns If a kitten spends its entire early sensitive period wearing gog- gles with horizontal lines painted on them (see Figure 5.24), nearly all its visual cortex cells become responsive only to hor- izontal lines (Stryker & Sherk, 1975; Stryker, Sherk, Leventhal, & Hirsch, 1978). Even after months of later normal experience, the cat does not respond to vertical lines (Mitchell, 1980).

Two examples of lazy eye.

STOP & CHECK 24. What early experience would cause a kitten or human child

to lose stereoscopic depth perception?

ANSWER

24. If the eye muscles cannot keep both eyes focused in the same direction, the developing brain loses the ability for any neuron in the visual cortex to respond to input from both eyes. Instead, each neuron responds to one eye or the other. Stereoscopic depth perception requires cells that compare the input from the two eyes.

Figure 5.24 Procedure for restricting a kitten’s visual experience For a few hours a day, the kitten wears goggles that show just one stimulus, such as horizontal stripes or diagonal stripes. For the rest of the day, the kitten stays with its mother in a dark room without the mask. (Source: Photo courtesy of Helmut V. B. Hirsch)

Figure 5.25 An informal test for astigmatism Do the lines in one direction look darker or sharper than the other lines do? If so, notice what happens when you rotate the page. If you wear cor- rective lenses, try this demonstration both with and without your lenses.

Ph ot

o Co

ur te

sy o

f H el

m ut

V . B

. H irs

ch

Bi op

ho to

A ss

oc ia

te s/

Sc ie

nc e

So ur

ce Su

e Fo

rd /S

ci en

ce S

ou rc

e

08202_ch05_ptg01.indd 172 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 173

Various other aspects of vision remained impaired. For ex- ample, when viewing something like Figure 5.26, he reported seeing three objects, instead of a partly transparent object overlapping a second one (Fine et al., 2013). As a blind man, he had learned to ski by following directions and memoriz- ing hills. When he tried skiing with his eyes open, the result was frightening. By two years later he was willing to open his eyes while skiing, and he could use vision to estimate the steepness of a hill. However, on the most difficult hills, he insisted on closing his eyes! Evidently, the visual under- standing that most of us take for granted depends on prac- tice early in life.

another? If so, rotate the page to demonstrate that the dark- ness is in you, not in the lines themselves. The appearance of the lines depends on their position. If you wear corrective lenses, try this demonstration with and without them. If you see a difference in the lines only without your lenses, then the lenses have corrected your astigmatism.

Impaired Infant Vision and Long-Term Consequences At the start of this section, we raised the question of what you would see if you lived all your life in the dark and then suddenly could see. Newborn infants have that experience, and we assume they have no idea what they are seeing. We have to assume, because we cannot ask newborns what they see. However, in some countries, a newborn with dense cata- racts (cloudy spots on the lenses that prevent perception of anything other than bright versus dark) may have to wait years for surgery to enable vision. When the cataracts are fi- nally removed, researchers can ask the children about their experience.

At first, these children have only a limited idea of what they are seeing. In one study, children looked at a picture of a toy building block, and another picture with two blocks. The task was to point to the block in the second picture that matched the first. Children did well on this task, indicating that they could see. However, when the task was to feel a building block and point to which of two choices was the picture of that block, performance was only a little better than chance. They could see the pictures, but they didn’t understand them. A week later, without any special training, they did much better on this task (Held et al., 2011). Within weeks they could start recognizing faces. With much practice, they began to develop hand–eye coordination. Seeing well enough to ride a bicycle took a year and a half (Chatterjee, 2015; Gandhi, Ganesh, & Sinha, 2014). However, some aspects of vision never fully re- covered. Their acuity (ability to see detail) remained poor, and their motion perception and depth perception never reached normal levels (Dormal, Lepore, & Collignon, 2012; Ellemberg, Lewis, Maurer, Brar, & Brent, 2002).

One man had normal vision in early childhood until age 3½, when a chemical explosion destroyed one eye and damaged the cornea of his other eye so badly that he could see nothing more than light versus dark. By adulthood, he had no visual memories and no visual imagery. At age 43, a corneal transplant enabled him to recover vision. Immedi- ately he could see colors and he could soon identify simple shapes. Eventually he learned to recognize common house- hold objects, but unlike most people who identify objects immediately, he had to think about it more carefully (Fine et al., 2003). Even 10 years later, he could not identify whether a face was male or female, happy or sad (Huber et al., 2015).

STOP & CHECK 25. What causes astigmatism? 26. If an infant is born with dense cataracts on both eyes and

they are surgically removed years later, how well does the child see at first?

ANSWERS

25. Astigmatism results when the eyeball is not quite spherical. As a result, the person sees one direction of lines more clearly than the other. 26. The child sees well enough to identify whether two objects are the same or different, but the child doesn’t understand what the visual information means. In particular, the child cannot answer which visual display matches something the child touches. However, understanding of vision improves with practice.

Figure 5.26 How many squares? Most people immediately see two squares, one overlapping the other. A man who lost vision from age 3½ until 43 sees this display as three objects.

08202_ch05_ptg01.indd 173 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

174 CHAPTER 5 Vision

Summary 1. The optic nerves of the two eyes join at the optic chi-

asm, where half of the axons from each eye cross to the opposite side of the brain. Most of the axons then travel to the lateral geniculate nucleus of the thalamus, which communicates with the visual cortex. 162

2. Lateral inhibition is a mechanism by which stimula- tion in any area of the retina suppresses the responses in neighboring areas, thereby enhancing the contrast at light–dark borders. 163

3. Lateral inhibition in the vertebrate retina occurs because receptors stimulate bipolar cells and also stimu- late the much wider horizontal cells, which inhibit both the stimulated bipolar cells and those to the sides. 163

4. Each neuron in the visual system has a receptive field, an area of the visual field to which it is connected. Light in the receptive field excites or inhibits a neu- ron depending on the light’s location, wavelength, and movement. 164

5. The mammalian vertebrate visual system has a partial division of labor. In general, the parvocellular system is specialized for perception of color and fine details; the magnocellular system is specialized for perception of depth, movement, and overall patterns. 165

6. After damage to area V1, people report no vision, even in dreams. However, some kinds of response to light (blindsight) can occur after damage to V1 despite the lack of conscious perception. 166

7. Within the primary visual cortex, neuroscientists distin- guish simple cells with fixed excitatory and inhibitory fields, and complex cells that respond to a light pattern of a particular shape regardless of its exact location. 167

8. Neurons within a column of the primary visual cortex have similar properties, such as responding to lines in the same orientation. 168

9. Understanding what you see requires much more than just adding up points and lines. Vision is an active pro- cess based partly on expectations. 169

10. During infancy, the cells of the visual cortex have nearly normal properties. However, experience is necessary to maintain and fine-tune vision. Abnormal visual experi- ence can change the properties of visual cells, especially if the experience occurs early in life. 171

11. Cortical neurons become unresponsive to axons from an inactive eye because of competition with the active eye. If both eyes are closed, each cortical cell remains somewhat responsive to axons from one eye or the other, although that response becomes sluggish and unselective as the weeks of deprivation continue. 171

12. To develop good stereoscopic depth perception, a kitten or human child must have experience seeing the same object with corresponding portions of the two eyes early in life. Otherwise, each neuron in the visual cortex becomes responsive to input from just one eye. 171

13. If a kitten sees only horizontal or vertical lines during its sensitive period, most of the neurons in its visual cortex become responsive to such lines only. For the same reason, a child with astigmatism may have decreased responsiveness to one kind of line or another. 172

14. Some people have cataracts removed after years of cloudy vision. Vision, useless at first, improves with practice but remains imperfect in several ways. 173

Your eyes are bombarded with a complex pattern of light ema- nating from every source in front of you. Out of all this, your brain needs to extract the most useful information. The nervous system from the start identifies the borders between one object and another through lateral inhibition. It identifies lines and their locations by simple and complex cells in the primary visual

cortex. Researchers have gone a long way toward mapping out the excitatory and inhibitory connections that make these cells possible. The visual experiences you have at any moment are the result of an awe-inspiring complexity of connections and interactions among a huge number of neurons. Understanding what you see is also the product of years of experience.

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

astigmatism 172 blindsight 166 complex cells 168

end-stopped (or hypercomplex) cells 168

feature detectors 169

horizontal cells 162 koniocellular neurons 165 lateral geniculate nucleus 162

Understanding Vision by Understanding the Wiring Diagram Module 5.2 In Closing

08202_ch05_ptg01.indd 174 9/15/17 6:51 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.2 How the Brain Processes Visual Information 175

lateral inhibition 164 magnocellular neurons 165 parvocellular neurons 165

primary visual cortex (or area V1) 166

receptive field 164 retinal disparity 171

sensitive period 171 simple cell 167 strabismus 171

1. After a receptor cell is stimulated, the bipolar cell receiv- ing input from it shows an immediate strong response. A fraction of a second later, the bipolar’s response decreases, even though the stimulation from the recep- tor cell remains constant. How can you account for that decrease? (Hint: What does the horizontal cell do?)

2. A rabbit’s eyes are on the sides of its head instead of in front. Would you expect rabbits to have many cells with binocular receptive fields—that is, cells that respond to both eyes? Why or why not?

Thought Questions

Module 5.2 End of Module Quiz

1. What do horizontal cells in the retina do? A. They inhibit neighboring receptors. B. They inhibit bipolar cells.

C. They inhibit ganglion cells. D. They stimulate ganglion cells.

2. In humans, what crosses to the contralateral hemisphere at the optic chiasm? A. Half of each optic nerve, the part representing the

nasal half of the retina B. Half of each optic nerve, the part representing the

temporal half of the retina

C. Half of each optic nerve, originating from random parts of the retina

D. All of each optic nerve

3. What is the function of lateral inhibition in the retina? A. To sharpen borders B. To enhance colors

C. To recognize objects D. To increase attention

4. Suppose light strikes the retina in a circle, surrounded by dark. Which bipolar cells will show the greatest response, and which will show the least? A. Bipolars connected to receptors in the center of the

circle respond the most. Those connected to recep- tors farthest from the circle respond the least.

B. Bipolars connected to the receptors just outside the circumference of the circle respond most. Those connected to receptors just inside the circumference respond least.

C. Bipolars connected to the receptors just inside the circumference of the circle respond most. Those connected to receptors just outside the circumference respond least.

D. All bipolars within the circle respond equally, and those outside the circle do not respond at all.

5. What is the shape of a receptive field of a ganglion cell? A. Either a bar or an edge, in a fixed position B. Either a bar or an edge, anywhere within a large area

of the retina

C. Either a bar or an edge, with a strong inhibitory field at one end

D. A circle, with a surround that responds in the oppo- site way

6. What is the shape of a receptive field of a simple cell in the primary visual cortex? A. Either a bar or an edge, in a fixed position B. Either a bar or an edge, anywhere within a large area

of the retina

C. Either a bar or an edge, with a strong inhibitory field at one end

D. A circle, with a surround that responds in the oppo- site way

7. In contrast to parvocellular neurons, magnocellular neurons are more sensitive to ____. A. color B. small details

C. movement D. the fovea

08202_ch05_ptg01.indd 175 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

176 CHAPTER 5 Vision

8. If you were in a darkened room and researchers wanted to know whether you were having visual fantasies (without asking you), they could measure activity in which brain area? A. The retina B. The lateral geniculate nucleus of the thalamus

C. The primary visual cortex D. The parietal cortex

9. In most cases, blindsight apparently depends on what connection? A. From the thalamus to the temporal cortex B. From the occipital cortex to the temporal cortex

C. From the thalamus to the frontal cortex D. From the occipital cortex to the frontal cortex

10. What evidence suggests that certain types of feature detectors operate in the human visual cortex? A. When you examine Mooney faces, at first you see

only meaningless blobs, but with time and effort you start to perceive faces.

B. After you stare at a waterfall or other steadily moving display, you see stationary objects as moving in the opposite direction.

C. An electrode traveling through a section of the cortex may encounter one neuron after another with recep- tive fields in the same orientation.

D. Children who are deprived of input in one eye become attentive only to the other eye.

11. If a kitten has one eye shut for its first few weeks of life, its visual cortex becomes insensitive to that eye. Why? A. The receptors die. B. Any axon that is not used for that long becomes

unable to respond.

C. Activity from the active eye inhibits synapses from the inactive eye.

D. The visual cortex becomes responsive to sounds instead of light.

12. What early experience, if any, is necessary to maintain binocular input to the neurons of the visual cortex? A. Cortical cells will always maintain binocular respon-

siveness, regardless of their experience. B. Cortical cells must receive some input to each eye

every day.

C. Cortical cells must receive an equal amount of input from the two eyes.

D. Cortical cells must usually receive simultaneous input from the two eyes.

13. If someone is born with dense cataracts on both eyes, and the cataracts are removed years later, what happens? A. The person remains permanently blind. B. The person gradually recovers all aspects of

vision.

C. The person gains some vision, but remains impaired on object recognition, motion vision, and depth perception.

D. The person gains almost all aspects of vision, but remains greatly impaired on color perception.

Answers: 1B, 2A, 3A, 4C, 5D, 6A, 7C, 8C, 9A, 10B, 11C, 12D, 13C.

08202_ch05_ptg01.indd 176 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

177

Module 5.3

Parallel Processing in the Visual Cortex

pathway, because of its importance for identifying and recog- nizing objects. The dorsal stream through the parietal cortex is the action pathway or the “how” pathway, because of its im- portance for visually guided movements.

The distinction is based partly on animal studies, and partly on MRI and fMRI studies (Milner, 2012), but mostly on observations of a few patients with brain damage. A woman known as patient DF was exposed to carbon monoxide, caus- ing damage mainly to the ventral stream—that is, the tempo- ral cortex and its connections with the primary visual cortex (Bridge et al., 2013). She cannot name the objects she sees, can- not recognize faces, and cannot even distinguish a square from a rectangle. When she was shown a slot in the wall, she could not say whether it was horizontal or vertical. Nevertheless, when she was asked to put an envelope through the slot, she aimed it correctly at once. When asked to guess the size of an object she sees, she performs at chance levels. However, when asked to pick up the object, she reaches out correctly, adjusting her thumb and finger before touching the object (Whitwell, Milner, & Goodale, 2014). Several other patients with tempo- ral lobe damage have similar problems. One man could not say where objects were in his room, but he could take a walk, accurately avoiding obstacles in his way. He could reach out to

If you were working on an important project for some busi-ness or government, you might receive information on a “need-to-know” basis. For example, if you were told to carry a particular package, you would need to know how heavy it is and whether it is fragile, but you might not need to know any- thing else. Someone else who is keeping track of the finances would need to know how much the object costs and whether it needs insurance. A third person might open the package and check to make sure the color matched the specifications.

Similarly, different parts of the brain’s visual system get information on a need-to-know basis. Cells that help your hand muscles reach out to an object need to know the size and location of the object, but they don’t need to know about color. They need to know a little about shape, but not in great detail. Cells that help you recognize people’s faces need to be extremely sensitive to details of shape, but they can pay less attention to location.

It is natural to assume that anyone who sees an object sees everything about it—the shape, color, location, and movement. However, one part of your brain sees its shape, another sees color, another detects location, and another per- ceives movement (Livingstone, 1988; Livingstone & Hubel, 1988; Zeki & Shipp, 1988). Consequently, after localized brain damage, it is possible to see certain aspects of an object and not others. Centuries ago, people found it difficult to imagine how someone could see an object without seeing what color it is. Even today, you might find it surprising to learn about people who see an object without seeing where it is, or see it without seeing whether it is moving.

The Ventral and Dorsal Paths The primary visual cortex (V1) sends information to the secondary visual cortex (area V2), which processes the in- formation further and transmits it to additional areas, as shown in Figure 5.27. The connections in the visual cortex are reciprocal. For example, V1 sends information to V2, and V2 returns information to V1. From V2, the information branches out in several directions for specialized processing.

Researchers distinguish between the ventral stream and the dorsal stream. They call the ventral stream through the temporal cortex the perception pathway or the “what”

V3 (largely interior) V2

V1

V5 (MT)

V4

Inferotemporal cortex

Figure 5.27 Approximate Locations of Some Major Visual Areas in Human Cortex Information passes from V1 to V2 and from there to other areas. The other areas also receive some information directly from the thalamus.

08202_ch05_ptg01.indd 177 9/15/17 6:52 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

178 CHAPTER 5 Vision

some V2 cells respond best to corners, textures, or complex shapes (Freeman, Ziemba, Heeger, Simoncelli, & Movshon, 2013). Areas V2 and V3 (see Figure 5.27) have some cells highly responsive to color, and other cells highly responsive to the disparity between what the left and right eyes see— critical information for stereoscopic depth perception (Nasr, Polimeni, & Tootell, 2016). In later parts of the visual system, receptive properties become still more complex.

The Inferior Temporal Cortex Cells in the inferior temporal cortex (see Figure 5.27) learn to recognize meaningful objects. A cell that responds to the sight of some object initially responds mainly when it sees that object from the same angle, but after a bit of experience it learns to respond almost equally to that object from other viewpoints. It is responding to the object, regardless of ma- jor changes in the pattern that reaches the retina (Murty & Arun, 2015). Similarly, in Figure 5.28, cells in a monkey’s in- ferior temporal cortex that responded strongly to the original profile responded about the same way to its mirror image or contrast reversal, but not to a figure–ground reversal (Baylis & Driver, 2001). In terms of the actual pattern of light and dark, the figure–ground reversal is much like the original, but most people (and evidently monkeys also) see it as a white object on a black background, rather than a face.

Another study considered the phenomenon of object per- manence. Children as young as age 3½ months show evidence of understanding that an object continues to exist after it goes

grab objects, and he could reach out to shake hands (Karnath, Rüter, Mandler, & Himmelbach, 2009). Another patient had such trouble recognizing objects by sight that she attached dis- tinctive colored tapes to the important objects she needed to find in her house. However, she had no trouble reaching out to pick up any of the objects, once she had found them (Plant, James-Galton, & Wilkinson, 2015). In short, people with tem- poral lobe damage can use vision to guide their actions, but they cannot identify what the objects are.

People with damage to the dorsal stream (parietal cor- tex) have somewhat the opposite problem: They see objects but they don’t integrate their vision well with their arm and leg movements. They can read, recognize faces, and describe objects in detail but they cannot accurately reach out to grasp an object. While walking, they can describe what they see, but they bump into objects, oblivious to their location. Although they can describe from memory what their furniture looks like, they cannot remember where it is located in their house (Kosslyn, Ganis, & Thompson, 2001). Often they seem un- certain where certain parts of their body are (Schenk, 2006). One patient had dorsal stream damage only in his left hemi- sphere. He showed low accuracy at aiming his right arm or leg toward an object on the right side of his body. However, his accuracy was normal when aiming his left arm or leg toward either side, or when aiming his right arm toward the left side (Cavina-Pratesi, Connolly, & Milner, 2013). So his problem is not with attention, and not exactly vision either. It is specifi- cally a problem of using vision to control certain arm and leg movements.

Although the distinction between ventral and dorsal pathways is useful, we should not overstate it. Ordinarily you use both systems in coordination with each other (Farivar, 2009).

STOP & CHECK 27. Suppose someone can describe an object in detail but

stumbles and fumbles when trying to walk toward it and pick it up. Which is probably damaged, the dorsal path or the ventral path?

ANSWER

27. The inability to guide movement based on vision implies damage to the dorsal path.

Detailed Analysis of Shape In Module 5.2, we encountered simple and complex cells of the primary visual cortex (V1). As visual information goes from the simple cells to the complex cells and then to other brain areas, the receptive fields become larger and more spe- cialized. In the secondary visual cortex (V2), just anterior to V1 in the occipital cortex, most cells are similar to V1 cells in responding to lines, edges, or sine wave gratings, except that V2 receptive fields are more elongated (Liu et al., 2016). Also,

Original Contrast reversal

Mirror image Figure–ground reversal

Figure 5.28 Transformations of a drawing In the inferior temporal cortex, cells that respond strongly to the original respond about the same to the contrast reversal and mirror image but not to the figure–ground reversal. Note that the figure–ground reversal resembles the original in terms of the pattern of light and darkness, but it is not perceived as the same object. (Source: Based on Baylis & Driver, 2001)

08202_ch05_ptg01.indd 178 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.3 Parallel Processing in the Visual Cortex 179

strongly to faces than to anything else. And an area close to this face area responds more strongly to bodies than to any- thing else (Downing, Chan, Peelen, Dodds, & Kanwisher, 2005; Kanwisher, 2010). The brain is amazingly adept at detecting biological motion—the kinds of motion produced by people and animals. If you attach glow-in-the-dark dots to someone’s elbows, knees, hips, shoulders, and a few other places, then when that person moves in an otherwise dark room, you per- ceive a moving person, even though you are actually watching only a few spots of light. You can view a wonderful demonstra- tion by doing an Internet search for Biomotion Lab and then clicking on Demos.

Recognizing Faces Face recognition is an important skill for humans. For civiliza- tion to succeed, we have to know whom to trust and whom to distrust, and that distinction requires us to recognize people that we haven’t seen in months or years. Someday you may attend a high school or college reunion and reunite with peo- ple you haven’t seen in decades. You will recognize many of them, even though they have gained weight, become bald, or dyed their hair (Bruck, Cavanagh, & Ceci, 1991). Computer programmers who have tried to build machines to recognize faces have discovered the difficulty of this task that seems so easy for people.

Human newborns come into the world predisposed to pay more attention to faces than other stationary displays (see Figure 5.30). That tendency supports the idea of a built-in face recognition module. However, the infant’s concept of face is not like an adult’s. Experimenters recorded infants’ times of gazing at one face or the other, as shown in Figure 5.31. New- borns showed a strong preference for a right-side-up face over an upside-down face, regardless of whether the face was realis- tic (left pair) or distorted (central pair). When confronted with two right-side-up faces (right pair), they showed no significant

behind an object that prevents a child from seeing it (Baillar- geon, 1987). Studies of the inferotemporal cortex show a pos- sible basis. A monkey saw an object, and then saw some other object move in front and occlude the first object. When the occluder moved away, either the original object reappeared, or a new object appeared in its place. Some cells in the in- ferotemporal cortex responded strongly whenever an original object reappeared, and some responded strongly whenever a new, “surprising” object appeared (Puneeth & Arun, 2016).

As we might expect, damage to the ventral pathway of the cortex leads to specialized deficits. Visual agnosia (meaning “visual lack of knowledge”) is an inability to recognize objects despite otherwise satisfactory vision. It is a common result from damage in the temporal cortex. Someone might be able to point to visual objects and slowly describe them but fail to recognize what they are. For example, one patient, when shown a key, said, “I don’t know what that is. Perhaps a file or a tool of some sort.” When shown a stethoscope, he said that it was “a long cord with a round thing at the end.” When he could not identify a smoker’s pipe, the examiner told him what it was. He then replied, “Yes, I can see it now,” and pointed out the stem and bowl of the pipe. Then the examiner asked, “Sup- pose I told you that the last object was not really a pipe?” The patient replied, “I would take your word for it. Perhaps it’s not really a pipe” (Rubens & Benson, 1971).

Within the brain areas specialized for perceiving shape, are there further specializations for particular types of shapes? According to fMRI studies as people viewed pictures, most ob- jects do not activate one brain area more than another. That is, the brain does not have a specialized area for seeing flowers, fish, birds, clothes, food, or rocks. However, three types of ob- jects do produce specific responses. One part of the parahip- pocampal cortex (next to the hippocampus) responds strongly to pictures of places, and not so strongly to anything else. Part of the fusiform gyrus of the inferior temporal cortex, espe- cially in the right hemisphere (see Figure 5.29), responds more

Fusiform gyrus

Figure 5.29 The fusiform gyrus Many cells here are especially active during recognition of faces. (Source: Courtesy of Dr. Dana Copeland)

Face Circles Newsprint White Yellow Red

36

32

28

24

20 16

12

8

4 0

Pe rc

en t

o f

fi xa

ti o

n t

im e

Figure 5.30 Amount of time infants spend looking at patterns Even in the first 2 days after birth, infants look more at faces than at most other stimuli. (Source: Based on Fantz, 1963)

08202_ch05_ptg01.indd 179 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

180 CHAPTER 5 Vision

In several cases, physicians electrically stimulated the fusiform gyrus during exploratory surgery. Varying with the intensity and duration of stimulation, the result was either a difficulty in perceiving faces (Chong et al., 2013) or a vivid distortion of faces. One patient exclaimed, “You just turned into somebody else. Your face metamorphosed” (Parvizi et al., 2012, p. 14918).

People vary considerably in their ability to recognize faces, and the reason is not just that some people don’t care or don’t pay attention. People with severe problems are said to have prosopagnosia (PROSS-oh-pag-NOH-see-ah), mean- ing impaired ability to recognize faces. That problem can re- sult from damage to the fusiform gyrus, or from a failure of that gyrus to develop fully. In some people the right fusiform gyrus is significantly smaller than average and has fewer than normal connections with the occipital cortex (Grueter et al., 2007; Lohse et al., 2016; Thomas et al., 2009; Zhang, Liu, & Xu, 2015; Zhu et al., 2011). In contrast, if you can recognize faces more easily than average, it may be that you have richer than average connections between fusiform gyrus and occipi- tal cortex.

Oliver Sacks, famous for writing about other people’s neurological problems, suffered from prosopagnosia himself. In his words, “I have had difficulty recognizing faces for as long as I can remember. I did not think too much about this as a child, but by the time I was a teenager, in a new school, it was often a cause of embarrassment. . . . My problem with recognizing faces extends not only to my nearest and dearest but also to myself. Thus, on several occasions I have apolo- gized for almost bumping into a large bearded man, only to

preference between a realistic one and a distorted one (Cassia, Turati, & Simion, 2004). Evidently, a newborn’s concept of face requires the eyes to be on top, but the face does not have to be realistic.

According to fMRI data, young children activate more of their brain than adults do, when trying to recognize a face (Haist, Adamo, Wazny, Lee, & Stiles, 2013). Their accuracy is also lower than that of adults. Through childhood and the early teenage years, connections strengthen between the fusi- form gyrus (Figure 5.29), especially in the right hemisphere, and part of the inferior occipital cortex known as the occipi- tal face area (Song, Zhu, Li, Wang, & Liu, 2015). The occipi- tal face area responds strongly to parts of a face, such as the eyes and mouth (Arcurio, Gold, & James, 2012). The fusiform gyrus responds strongly to a face viewed from any angle, as well as line drawings and anything else that looks like a face (Caldara & Seghier, 2009; Kanwisher & Yovel, 2006). In fact, people are highly predisposed to see faces wherever possible. Just draw two dots and an upward curved line below them, and people call it a “smiley face.”

160

120

80

40

0

To ta

l fi xa

ti o

n t

im e

(s )

Upright face

p < .03

Upside-down face

160

120

80

40

0

Bottom-heavy con�guration

Top-heavy con�guration

160

120

80

40

0

Upright face Top-heavy con�guration

p < .001 p = .39

Figure 5.31 How infants divided their attention between faces A right-side-up face drew more attention than an upside-down one, regardless of whether the faces were realistic (left pair) or distorted (central pair). Infants divided their attention about equally between two right-side-up faces (right pair), even though one was realistic and the other was distorted. (Source: From “Can a nonspecific bias toward top-heavy patterns explain newborns’ face preference?” by V. M. Cassia, C. Turati, & F. Simion, 2004. Psychological Science, 15, 379–383.)

08202_ch05_ptg01.indd 180 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.3 Parallel Processing in the Visual Cortex 181

realize that the large bearded man was myself in a mirror. The opposite situation once occurred at a restaurant. Sitting at a sidewalk table, I turned toward the restaurant window and be- gan grooming my beard, as I often do. I then realized that what I had taken to be my reflection was not grooming himself but looking at me oddly” (Sacks, 2010, p. 37).

People with prosopagnosia can read, so visual acuity is not the problem. They recognize people’s voices, so their problem is not memory (Farah, Wilson, Drain, & Tanaka, 1998). Furthermore, if they feel clay models of faces, they are worse than other people at determining whether two clay models are the same or different (Kilgour, de Gelder, & Leder- man, 2004). Their problem is not vision, but something that relates specifically to faces.

When people with prosopagnosia look at a face, they can describe each element of a face, such as brown eyes, big ears, a small nose, and so forth, but they do not recognize the face as a whole. You would have a similar difficulty if you viewed faces quickly, upside down. One patient was shown 34 photographs of famous people and had a choice of two identifications for each. By chance alone, he should have identified 17 correctly; in fact, he got 18. He remarked that he seldom enjoyed watch- ing movies or television programs because he had trouble keeping track of the characters. Curiously, his favorite movie was Batman, in which the main characters wore masks much of the time (Laeng & Caviness, 2001).

Did we really evolve a brain module devoted to faces? Or does the fusiform gyrus serve for all types of detailed visual recognition, for which faces are just a good example? Children with an intense interest in Pokemon cards show strong re- sponse in the fusiform gyrus when they look at Pokemon char- acters (James & James, 2013). Chess experts show a response there when they look at a chessboard (Bilalic, Langner, Ulrich, & Grodd, 2011). One study found that children who devoted at least an hour a day to some special interest, such as watch- ing soccer or looking at pictures of space travel, showed fusi- form gyrus responses to images related to that interest. The response was even greater for children with autism spectrum disorder, who pay less than usual attention to faces (Foss-Feig et al., 2016). As people learn to read, the fusiform gyrus be- comes more responsive to words and (in the left hemisphere) less responsive to faces (Dehaene et al., 2010).

Evidently the fusiform gyrus participates in many types of detailed visual recognition. However, even in people with extreme levels of expertise, many cells in the fusiform gy- rus respond more vigorously to faces than to anything else (Kanwisher & Yovel, 2006).

Motion Perception Moving objects often merit immediate attention. A moving object might be a possible mate, something you could hunt and eat, or something that wants to eat you. If you are going to respond, you need to identify what the object is, where it is going, and how fast. The brain is set up to make those calcula- tions quickly and efficiently.

STOP & CHECK 28. The brain has no specialized areas for perceiving flowers,

clothes, or food. For what items does it have specialized areas?

29. The ability to recognize faces correlates with the strength of connections between which brain areas?

ANSWERS

28. The temporal cortex has specialized areas for perceiv- ing places, faces, and bodies, including bodies in motion. 29. Ability to recognize faces correlates with the strength of connections between the occipital face area and the fusiform gyrus.

The Middle Temporal Cortex Two areas especially important for motion perception are area MT (for middle temporal cortex), also known as area V5 (see Figure 5.27), and an adjacent region, area MST (medial superior temporal cortex). These areas receive input mostly from the magnocellular path (Nassi & Callaway, 2006), which detects overall patterns, including movement over large areas of the visual field. Given that the magnocellular path is color insensitive, MT is also color insensitive.

Most cells in area MT respond selectively when some- thing moves at a particular speed in a particular direction (Perrone & Thiele, 2001). MT cells detect acceleration or de- celeration as well as the absolute speed (Schlack, Krekelberg, & Albright, 2007), and they respond to motion in all three di- mensions (Rokers, Cormack, & Huk, 2009). Area MT also re- sponds to photographs that imply movement, such as a photo of people running (Kourtzi & Kanwisher, 2000). People who had electrical stimulation of area MT (while they were un- dergoing exploratory studies to find the cause of their severe epilepsy) report seeing vibrations or other hallucinated move- ments during the stimulation (Rauschecker et al., 2011). They also become temporarily impaired at seeing something that really is moving (Becker, Haarmeier, Tatagiba, & Gharabaghi, 2013). In short, MT activity is apparently central to the expe- rience of seeing motion. Cells in the dorsal part of area MST respond best to more complex stimuli, such as the expansion, contraction, or rotation of a large visual scene, as illustrated in Figure 5.32. That kind of experience occurs when you move forward or backward or tilt your head.

When you move your head or eyes from left to right, ev- erything in your visual field moves across your retina as if the world itself had moved right to left. (Go ahead and try it.) Yet the world seems stationary, because nothing moved relative to anything else. Neurons in areas MT and the ventral part of MST respond briskly if something moves relative to the back- ground, but they show little response if the object and the back- ground both move in the same direction and speed (Takemura, Ashida, Amano, Kitaoka, & Murakami, 2012). In short, MT and MST neurons enable you to distinguish between the re- sult of eye movements and the result of object movements.

08202_ch05_ptg01.indd 181 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

182 CHAPTER 5 Vision

discovery of area MT from monkey research, researchers saw a mechanism whereby motion blindness could (and should) occur, and the report about patient LM was acceptable.

You wonder what it would be like to be motion blind. Try this demonstration: Look at yourself in a mirror and focus on your left eye. Then shift your focus to your right eye. (Please do this now.) Did you see your eyes move? No, you did not. (Oh, please try the demonstration!)

Why didn’t you see your eyes move? Your first impulse is to say that the movement was too small or too fast. Wrong. Try looking at someone else’s eyes while he or she focuses first on your one eye and then the other. You do see the other person’s eyes move, even though they moved the same dis- tance and the same speed as your own. So an eye movement is neither too small nor too fast for you to see.

You do not see your own eyes move because area MT and parts of the parietal cortex decrease their activity dur- ing voluntary eye movements, known as saccades (Bremmer, Kubischik, Hoffmann, & Krekelberg, 2009). (Activity does not decrease while your eyes are following a moving object.) The brain areas that monitor saccades tell area MT and the pari- etal cortex, “We’re about to move the eye muscles, so take a rest for the next split second.” Neural activity and blood flow in MT and part of the parietal cortex begin to decrease 75 milliseconds (ms) before the eye movement and remain sup- pressed during the movement (Burr, Morrone, & Ross, 1994; Paus, Marrett, Worsley, & Evans, 1995; Vallines & Greenlee, 2006). In short, during a voluntary eye movement, you be- come motion blind, but just for a split second. Perhaps now you understand a little better what people with motion blind- ness experience all the time.

The opposite of motion blindness also occurs: Some people are blind except for the ability to detect which

Motion Blindness Given that areas MT and MST respond strongly to moving objects, and only to moving objects, what would happen after damage to these areas? The result is motion blindness, being able to see objects but unable to see whether they are moving or, if so, which direction and how fast (Marcar, Zihl, & Cowey, 1997). People with motion blindness are better at reaching for a moving object than at describing its motion (Schenk, Mai, Ditterich, & Zihl, 2000), but in all aspects of dealing with visual motion, they are far behind other people.

Motion blindness in the absence of other dysfunction is a rare condition. The best described case, “LM,” reported that she felt uncomfortable when people walked around be- cause they “were suddenly here or there but I have not seen them moving.” People would seem to appear or disappear sud- denly, even when she was trying to keep track of them. Some- one who was walking would appear to her as “restless,” but she would not know which direction the person was going. She would find it so unsettling that she would stop her own walking until the other person was gone. She could not cross a street without help, because she could not tell which cars were moving, or how fast. Pouring coffee became difficult. The flowing liquid appeared to be frozen and unmoving, so she did not stop pouring until the cup overfilled (Zihl, von Cramon, & Mai, 1983; Zihl & Heywood, 2015).

People with full color vision can imagine what it would be like to be color deficient, but it is difficult to imagine be- ing motion blind. If something is moving, and you see it, how could you fail to see that it is moving? Because this experience seems so odd, neurologists for many years resisted the idea of motion blindness. Several patients were reported who appar- ently became motion blind as a result of brain damage, but most scientists ignored or disbelieved those reports. After the

Expansion

Rotation

Figure 5.32 Stimuli that excite the dor- sal part of area MST Cells here respond if a whole scene expands, contracts, or rotates. That is, they respond if the observer moves forward or backward or tilts his or her head.

TRY IT YOURSELF

08202_ch05_ptg01.indd 182 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

5.3 Parallel Processing in the Visual Cortex 183

direction something is moving. How could someone see movement without seeing the object that is moving? Area MT gets some input directly from the lateral geniculate nu- cleus of the thalamus. Therefore, even after extensive dam- age to area V1 (enough to produce blindness), area MT still has enough input to permit motion detection (Sincich, Park, Wohlgemuth, & Horton, 2004). Again, we try to imagine this person’s experience. What would it be like to see motion without seeing the objects that are moving? (Their answers don’t help. When they say which direction something is moving, they insist they are just guessing.) The general point is that different areas of your brain process different kinds of visual information, and it is possible to develop many kinds of disability.

STOP & CHECK 30. When you move your eyes, why does it not seem as if the

world is moving? 31. Under what circumstance does someone with an intact

brain become motion blind, and what accounts for the motion blindness?

ANSWERS

30. Neurons in areas MT and MST respond strongly when an object moves relative to the background, and not when the object and background move in the same direc- tion and speed. 31. People become motion blind shortly before and during a saccade (voluntary eye movement), because of suppressed activity in area MT.

Aspects of Vision

Anatomists have identified at least nearly a hundred brain areas that contribute to vision in various ways. We have dis- cussed areas responsible for detecting location, shape, faces, and movement. Why do we have so many visual areas? We can only infer that the brain, like a human society, benefits from specialization. Life works better if some people become experts at repairing cars, some at baking cakes, some at deliv- ering babies, some at moving pianos, and so forth, than if each

of us had to do everything for ourselves. Similarly, your visual system works better because visual areas specialize in a par- ticular task without trying to do everything.

A related question: How do we put it all together? When you watch a bird fly by, you perceive its shape, color, location, and movement all at once. So it seems, anyway. How do you do that? This is the binding problem, as discussed in Chapter 3. Answering that question remains a major challenge.

Module 5.3 In Closing

Summary 1. Researchers distinguish between the ventral visual

stream, responsible for perceiving objects, and the dorsal stream, responsible for visual guidance of movements. 177

2. The inferior temporal cortex detects objects and rec- ognizes them despite changes in position, size, and so forth. 178

3. A circuit including the fusiform gyrus of the temporal cortex is specialized for recognizing faces. People with impairments in this circuit experience prosopagnosia, a difficulty in recognizing faces despite nearly normal vision in other regards. 179

4. Although the fusiform gyrus is important for recogniz- ing faces, it also contributes to other types of visual expertise. 181

5. The middle temporal cortex (including areas MT and MST) is specialized for detecting the direction and speed of a moving object. People with damage in this area expe- rience motion blindness, an impairment in their ability to perceive movement. 181

6. Even people with an intact brain experience a brief period of motion blindness beginning about 75 ms before a voluntary eye movement and continuing during the eye movement. 182

Key Terms Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

dorsal stream 177 fusiform gyrus 179 inferior temporal cortex 178 motion blindness 182

MST 181 MT (or area V5) 181 prosopagnosia 180 saccade 182

secondary visual cortex 177 ventral stream 177 visual agnosia 179

08202_ch05_ptg01.indd 183 9/15/17 6:53 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

184 CHAPTER 5 Vision

1. The visual system has specialized areas for perceiv- ing faces, bodies, and places, but not other kinds of objects. Why might we have evolved specialized areas for these functions but not others?

2. Why is it advantageous to become motion blind dur- ing voluntary eye movements? That is, why might we have evolved this mechanism?

Thought Questions

Module 5.3 End of Module Quiz

1. The ventral stream of the visual system is specialized for which of these? A. Identifying locations B. Coordinating vision with movement

C. Peripheral vision and vision under poor lighting D. Detailed identification of objects

2. If someone can identify objects, but does not seem to know where they are, what location of brain damage is likely? A. Primary visual cortex (V1) B. Middle temporal cortex (MT or V5)

C. Secondary visual cortex (V2) D. Parietal cortex

3. What is distinctive about visual perception in the inferior temporal cortex? A. Cells respond only to objects that are symmetrical. B. Cells respond in proportion to the brightness

of light.

C. Cells respond only to objects that are moving at a particular speed.

D. Cells respond to an object regardless of the angle of view.

4. The fusiform gyrus is specialized for which of the following? A. Recognizing faces and other highly familiar objects B. Maintaining color recognition despite changes in

room lighting

C. Identifying the direction and speed of a visual object D. Coordinating vision with hearing and other senses

5. If someone has trouble recognizing faces, what pathway in the nervous system is probably deficient? A. Connections between the primary visual cortex and

area MT (V5) B. Connections between the fusiform gyrus and part of

the occipital cortex

C. Connections between the temporal cortex and the parietal cortex

D. Connections between the occipital cortex and the primary motor cortex

6. What happens after damage limited to area MT? A. Motion blindness B. Face blindness

C. Color blindness D. Night blindness

7. Why is it difficult to watch your own eyes move when looking in the mirror? A. The eye movements are too fast to see. B. The eye movements are too small to see.

C. During a saccadic eye movement, the eyes do not move relative to the background of the rest of the face.

D. During saccadic eye movements, activity decreases in area MT.

Answers: 1D, 2D, 3D, 4A, 5B, 6A, 7D.

Purves, D., & Lotto, R. B. (2003). Why we see what we do: An empirical theory of vision. Sunderland, MA: Sinauer Associates.

This presents a discussion of how our perception of color, size, and other visual qualities depends on our previous experience with objects and not just on the light striking the retina.

Sacks, O. (2010). Mind’s eye. New York: Alfred Knopf.

This book includes case histories of people with brain dam- age who lost the ability to recognize faces, the ability to read, the ability to find their way around, and other specific visual abilities.

Suggestions for Further Reading

08202_ch05_ptg01.indd 184 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch05_ptg01.indd 185 9/14/17 9:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch06_ptg01.indd 186 9/14/17 9:51 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

187

Module 6.1

Audition Sound and the Ear Pitch Perception The Auditory Cortex Sound Localization Individual Differences In Closing: Functions of Hearing

Module 6.2

The Mechanical Senses Vestibular Sensation Somatosensation Pain Itch In Closing: The Mechanical Senses

Module 6.3

The Chemical Senses Taste Olfaction Pheromones Synesthesia In Closing: Senses as Ways of Knowing the

World

Chapter 6Other Sensory Systems

Chapter Outline

After studying this chapter, you should be able to:

1. Describe the receptors for hearing, vestibu- lar sensation, the somatic senses, and the chemical senses.

2. Explain the mechanisms of pitch percep- tion and sound localization.

3. Compare physical and emotional pain. 4. Describe methods of relieving pain. 5. Discuss individual differences in taste and

olfaction. 6. Define and describe synesthesia.

Learning Objectives

Opposite:

The sensory world of bats—which find insects by echolocation—must be very different from that of humans. (Danita Delimont/Getty Images)

According to a Native American saying, “A pine needle fell. The eagle saw it. The deer heard it. The bear smelled it” (Herrero, 1985). Each species responds to the most useful kinds of information. Some birds have receptors

to detect magnetic fields, useful information when orienting north and south

during migration (Wu & Dickman, 2012). The ears of the green tree frog,

Hyla cinerea, are most sensitive to sounds at the frequencies prominent in the

adult male’s mating call (Moss & Simmons, 1986). Mosquitoes evolved a spe-

cial receptor that detects the odor of human sweat—and therefore helps them

find us and bite us (McBride et al., 2014). Bats locate insects by emitting sonar

waves at 20,000 to 100,000 hertz (Hz, cycles per second), well above the range

of adult human hearing (Griffin, Webster, & Michael, 1960), and then locating

the insects from the echoes. Bats hear the calls they use for localizing things

better than they hear any other sounds (Wohlgemuth & Moss, 2016). Curi-

ously, some moths jam the signals by emitting similar high-frequency calls of

their own (Corcoran, Barber, & Conner, 2009).

Humans, too, have important sensory specializations. Our sense of taste

alerts us to the bitterness of poisons (Richter, 1950; Schiffman & Erickson,

1971) but does not respond to substances such as cellulose that neither help

nor harm us. Our olfactory systems are unresponsive to gases that we don’t

need to detect (e.g., nitrogen) but highly responsive to the smell of rotting

meat. This chapter concerns how our sensory systems process biologically

useful information.

08202_ch06_ptg01.indd 187 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

188

Module 6.1

Evolution has been described as “thrifty.” After it has solved one problem, it modifies that solution for other problems instead of starting from scratch. For example, imagine a gene for visual receptors in an early vertebrate. Make a duplicate of that gene, modify it slightly, and presto: The new gene makes receptors that respond to different wavelengths of light, and color vision becomes possible. In this chapter, you will see more examples of that principle. Various sensory systems have their specializations, but they also have much in common.

Sound and the Ear Under optimum conditions, human hearing is sensitive to sounds that vibrate the eardrum by less than one-tenth the diameter of an atom, and we can detect a difference be- tween two sounds as little as 1/30 the interval between two piano notes (Hudspeth, 2014). Ordinarily, however, we at- tend to hearing in order to extract useful information. If you hear footsteps in your home or a snapped twig in the forest, you know you are not alone. If you hear breathing, you know some person or animal is close. Then you hear the sound of a familiar friendly voice, and you know that all is well.

Physics and Psychology of Sound Sound waves are periodic compressions of air, water, or other media. When a tree falls, the tree and the ground vibrate, setting up sound waves in the air that strike the ears. Sound waves vary in amplitude and frequency. The amplitude of a sound wave is its intensity. In general, sounds of greater amplitude seem louder, but exceptions occur. For example, a rapidly talking person seems louder than slow music of the same physical amplitude.

The frequency of a sound is the number of compressions per second, measured in hertz (Hz, cycles per second). Pitch is the related aspect of perception. Sounds higher in frequency are higher in pitch. Figure 6.1 illustrates the amplitude and frequency of sounds. The height of each wave corresponds to amplitude, and the number of waves per second corresponds to frequency.

Figure 6.1 Four sound waves The top line represents five sound waves in 0.1 second, or 50 Hz—a low-frequency sound that we experience as a low pitch. The other three lines represent 100 Hz. The vertical extent of each line represents its amplitude, which we experience as loudness.

Low frequency

Higher frequency

Low amplitude

Higher amplitude

0.1 second

A m

p lit

ud e

Most adult humans hear sounds starting at about 15 to 20 Hz and ranging up to almost 20,000 Hz. Children hear higher frequencies than adults, because the ability to perceive high frequencies decreases with age and exposure to loud noises (Schneider, Trehub, Morrongiello, & Thorpe, 1986). As a rule, larger animals like elephants hear best at lower pitches, and small animals like mice hear higher pitches, including a range well above what humans hear.

In addition to amplitude and pitch, the third aspect of sound is timbre (TAM-ber), meaning tone quality or tone complexity. Two musical instruments playing the same note at the same loudness sound different, as do two people singing the same note at the same loudness. For example, any instru- ment playing a note at 256 Hz will simultaneously produce sound at 128 Hz, 512 Hz, and so forth, known as harmonics of the principal note. The amount of each harmonic differs among instruments.

People communicate emotion by alterations in pitch, loudness, and timbre. For example, the way you say “that was

Audition

08202_ch06_ptg01.indd 188 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.1 Audition 189

interesting” could indicate approval (it really was interesting), sarcasm (it really was boring), or suspicion (you think someone was hinting something). Conveying emotional information by tone of voice is known as prosody.

Structures of the Ear Rube Goldberg (1883–1970) drew cartoons of complicated, far-fetched inventions. For example, a person’s tread on the front doorstep might pull a string that raised a cat’s tail, awakening the cat, which then chases a bird that had been

(d)

Anvil

Auditory nerve

Hair cells

Hair cells

Basilar membrane

Anvil

Tympanic membrane

Scala tympani

Scala vestibuli

Cochlea

Round window

Hammer

Pinna

External auditory canal

Tympanic membrane (eardrum)

Semicircular canals

Stirrup

Hammer

Stirrup

Auditory nerve

Scala media

Basilar membrane

Cochlear neuron

Oval window (membrane behind stirrup)

Round window

Tectorial membrane

(c)

(a)

(b)

resting on a balance, which swings up to strike a doorbell. The functioning of the ear is complex enough to resemble a Rube Goldberg device, but unlike Goldberg’s inventions, the ear actually works.

Anatomists distinguish the outer ear, the middle ear, and the inner ear (see Figure 6.2). The outer ear includes the pinna, the familiar structure of flesh and cartilage attached to each side of the head. By altering the reflections of sound waves, the pinna helps us locate the source of a sound. We have to learn to use that information because each person’s pinna is shaped differently from anyone else’s (Van Wanrooij

Figure 6.2 Structures of the ear When sound waves strike the tympanic membrane in (a), they vibrate three tiny bones—the hammer, anvil, and stirrup—that convert the sound waves into stronger vibrations in the fluid-filled cochlea (b). Those vibrations displace the hair cells along the basilar membrane in the cochlea. (c) A cross section through the cochlea. (d) A close-up of the hair cells.

08202_ch06_ptg01.indd 189 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

190 CHAPTER 6 Other Sensory Systems

& Van Opstal, 2005). Rabbits’ large movable pinnas enable them to localize sound sources even more precisely.

After sound waves pass through the auditory canal (see Figure 6.2), they enter the middle ear, a structure that had to evolve when ancient fish evolved into land animals. Because animal tissues respond to water vibrations almost the same way that water itself does, fish hearing receptors can be relatively simple. But because the same receptors would not respond well to vibrations in the air, early land animals would have heard only low-frequency sounds that were loud enough to vibrate the whole head (Christensen, Christensen-Dalsgaard, & Madsen, 2015). To develop ef- fective hearing on land, animals needed to evolve a way to amplify sound vibrations. The structures of the middle ear and inner ear accomplish that.

When sound waves reach the middle ear, they vibrate the tympanic membrane, or eardrum. The tympanic mem- brane connects to three tiny bones that transmit the vibra- tions to the oval window, a membrane of the inner ear. These bones, the smallest bones in the body, are sometimes known by their English names (hammer, anvil, and stirrup) and sometimes by their Latin names (malleus, incus, and stapes). The tympanic membrane is about 20 times larger than the footplate of the stirrup, which connects to the oval window. As in a hydraulic pump, the vibrations of the tym- panic membrane amplify into more forceful vibrations of the smaller stirrup. The net effect converts the sound waves into waves of greater pressure on the small oval window.

When the stirrup vibrates the oval window, it sets into mo- tion the fluid in the cochlea (KOCK-lee-uh), the snail-shaped structure of the inner ear. Figure 6.2c shows a cross section through the cochlea and its tunnels. The auditory receptors, known as hair cells, lie between the basilar membrane of the co- chlea on one side and the tectorial membrane on the other (see Figure 6.2d). Vibrations in the fluid of the cochlea displace the hair cells, thereby opening ion channels in its membrane. Figure 6.3

shows an electron micrograph of human hair cells. The hair cells stimulate the cells of the auditory nerve, which is part of the eighth cranial nerve.

Pitch Perception Your ability to understand speech or enjoy music depends on your ability to differentiate among sounds of different fre- quencies. How do you do it?

According to the place theory, the basilar membrane resembles the strings of a piano, with each area along the membrane tuned to a specific frequency. If you sound a note with a tuning fork near a piano, you vibrate the piano string tuned to that note. According to this theory, each frequency activates the hair cells at only one place along the basilar membrane, and the nervous system distinguishes among fre- quencies based on which neurons respond. The downfall of this theory is that the various parts of the basilar membrane are bound together too tightly for any part to resonate like a piano string.

According to the frequency theory, the entire basi- lar membrane vibrates in synchrony with a sound, causing auditory nerve axons to produce action potentials at the same frequency. For example, a sound at 50 Hz would cause 50 action potentials per second in the auditory nerve. The downfall of this theory in its simplest form is that the re- fractory period of a neuron, though variable among neu- rons, is typically about 1/1,000 second, so the maximum firing rate of a neuron is about 1000 Hz, far short of the highest frequencies we hear.

The current theory is a modification of both theories. For low-frequency sounds (up to about 100 Hz—more than an octave below middle C in music, which is 264 Hz), the basilar membrane vibrates in synchrony with the sound waves, in accordance with the frequency theory, and the au- ditory nerve axons generate one action potential per wave. Soft sounds activate fewer neurons, and stronger sounds activate more. Thus, at low frequencies, the frequency of impulses identifies the pitch, and the number of firing cells identifies loudness.

As sounds exceed 100 Hz, it becomes harder for any neu- ron to continue firing in synchrony with the sound waves. At higher frequencies, a neuron might fire on some of the waves and not others. Its action potentials are phase-locked to the peaks of the sound waves (i.e., they occur at the same phase in the sound wave), as illustrated here:

Sound wave (about 1000 Hz)

Action potentials from one auditory neuronFigure 6.3 Hair cells from a human cochlea

This artificially colored electron micrograph shows stereocilia (the crescent-shaped structures across the center of the photo) atop hair cells. As a sound wave moves the fluid across the stereocilia, it bends them, trig- gering responses by the hair cells.

Other auditory neurons also produce action potentials that are phase-locked with peaks of the sound wave, but they can be out of phase with one another:

St ev

e Gs

ch m

ei ss

ne r/

Ge tty

Im ag

es

08202_ch06_ptg01.indd 190 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.1 Audition 191

The Auditory Cortex As information from the auditory system passes through subcortical areas, axons cross over in the midbrain to enable each hemisphere of the forebrain to get most of its input from the opposite ear (Glendenning, Baker, Hutson, & Masterton, 1992). The information ultimately reaches the primary auditory cortex (area A1) in the superior temporal cortex, as shown in Figure 6.5.

The organization of the auditory cortex parallels that of the visual cortex (Poremba et al., 2003). For example, just as the visual system has separate pathways for identify- ing objects and acting upon them, the auditory system has a pathway in the anterior temporal cortex specialized for identifying sounds, and a pathway in the posterior temporal cortex and the parietal cortex specialized for locating sounds (Lomber & Malhotra, 2008). Just as patients with damage in area MT become motion blind, patients with damage in parts of the superior temporal cortex become motion deaf. They hear sounds, but they do not detect that a source of a sound is moving (Ducommun et al., 2004).

Just as the visual cortex is active during visual imagery, area A1 responds to imagined sounds as well as real ones. It becomes active when people view short silent videos that suggest sound—such as someone playing a piano, or a glass vase shattering on the ground (Meyer et al., 2010). In one study, people listened to several familiar and unfamiliar songs. At various points, parts of each song were replaced by 3- to 5-second gaps. When people were listening to familiar songs, they reported that they heard “in their heads” the notes or words that belonged in the gaps. That experience was ac- companied by activity in area A1. During similar gaps in the unfamiliar songs, they did not hear anything in their heads, and area A1 showed no response (Kraemer, Macrae, Green, & Kelley, 2005).

ANSWERS

1. At low frequencies, the basilar membrane vibrates in synchrony with the sound waves, and each responding axon in the auditory nerve sends one action potential per sound wave. 2. At intermediate frequencies, no single axon fires an action potential for each sound wave, but different axons fire for different waves, and so a volley (group) of axons fires for each wave. 3. At high frequen- cies, the sound causes maximum vibration for the hair cells at one location along the basilar membrane.

STOP & CHECK 1. Through which mechanism do we perceive low-frequency

sounds (up to about 100 Hz)? 2. How do we perceive middle-frequency sounds (100 to 4000 Hz)? 3. How do we perceive high-frequency sounds (above 4000 Hz)?Each wave of a high-frequency tone excites at least a

few auditory neurons. According to the volley principle of pitch discrimination, the auditory nerve as a whole produces volleys of impulses for sounds up to about 4000 per second, even though no individual axon approaches that frequency (Rose, Brugge, Anderson, & Hind, 1967). However, beyond about 4000 Hz, even staggered volleys of impulses cannot keep pace with the sound waves.

Most human hearing takes place below 4000 Hz, the approximate limit of the volley principle. For comparison, the highest key on a piano is 4224 Hz. When we hear still higher frequencies, we use a mechanism similar to the place theory. The basilar membrane varies from stiff at its base, where the stirrup meets the cochlea, to floppy at the other end of the cochlea, the apex (see Figure 6.4). A high-pitched sound sets up a traveling wave that peaks at some point along the basilar membrane, and then stops. The point at which it peaks identifies the frequency of the sound (Hudspeth, 2014). The highest frequency sounds

Sound wave

Neuron 1

Neuron 2

Neuron 3 Sum of

neurons

20,000 Hz

(Stiff)

7000 Hz

1500 Hz

1000 Hz

800 Hz

Base of cochlea (by oval window)

600 Hz

4000 Hz 3000 Hz

2000 Hz 5000 Hz

Apex

400 Hz

200 Hz

(Floppy)

Figure 6.4 Basilar membrane of the human cochlea High-frequency sounds excite hair cells near the base. Low-frequency sounds excite cells near the apex.

vibrate hair cells near the base, and lower frequency sounds vibrate hair cells farther along the membrane (Warren, 1999).

08202_ch06_ptg01.indd 191 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

192 CHAPTER 6 Other Sensory Systems

Also like the visual system, development of the auditory system depends on experience. Just as rearing an animal in the dark impairs visual development, rearing one in constant noise impairs auditory development (Chang & Merzenich, 2003). (In constant noise, it is difficult to identify and learn about in- dividual sounds.)

However, the visual and auditory systems differ in this respect: Whereas damage to the primary visual cortex (area V1) leaves someone blind, damage to the primary auditory cortex does not produce deafness. People with damage to the primary auditory cortex have trouble with speech and music, but they can identify and localize single sounds (Tanaka, Kamo, Yoshida, & Yamadori, 1991). Evidently, the cortex is not necessary for hearing, but for processing the information.

When researchers record from cells in the primary au- ditory cortex while playing pure tones, they find that most cells have a preferred tone. The auditory cortex provides what researchers call a tonotopic map of sounds, as shown in Figure 6.6. Note that cells responsive to similar frequen- cies tend to group together. The tonotopic map differs in detail from one person to another (Leaver & Rauschecker, 2016).

Although some cells in the auditory cortex respond well to a single tone, most cells respond best to a complex sound, such as a dominant tone and several harmonics

(Barbour & Wang, 2003; Griffiths, Uppenkamp, Johnsrude, Josephs, & Patterson, 2001; Penagos, Melcher, & Oxenham, 2004; Wessinger et al., 2001). For example, for a tone of 400 Hz, the harmonics are 800 Hz, 1200 Hz, and so forth. We experience a tone with harmonics as richer than one without them. Surrounding the primary auditory cortex are the secondary auditory cortex and additional areas that re- spond best to relevant natural sounds, such as animal calls, birdsong, machinery noises, music, and speech (Theunissen & Elie, 2014). While people were undergoing an exploratory procedure preliminary to surgery for epilepsy, researchers recorded from individual cells in the area surrounding the primary auditory cortex. Some cells responded strongly to particular speech sounds, such as all the vowels or all the nasal sounds (m, n, and ñ) (Mesgarani, Cheung, Johnson, & Chang, 2014).

The auditory cortex is important not just for hearing, but also for thinking about concepts related to hearing. Peo- ple were asked to look at letter arrays and press a button to indicate whether each one was or was not a real word. The task was easy enough that most people were almost always correct. People with damage to the auditory cortex performed normally, except for words relating to sounds. Not always, but frequently, they might look at something like “thunder” indicate, “No, that is not a word” (Bonner & Grossman, 2012). That study is significant, as it supports

Primary auditory cortex Medial

geniculate

Superior olive

Signal from right ear

Inferior colliculus

Cochlear nucleus

Signal from left ear

Figure 6.5 Route of auditory impulses from the receptors in the ear to the auditory cortex The cochlear nucleus receives input from the ipsilat- eral ear only (the one on the same side of the head). All later stages have input from both ears.

08202_ch06_ptg01.indd 192 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.1 Audition 193

ANSWERS

4. Any of the following: (a) Both vision and hearing have “what” and “where” pathways. (b) Areas in the superior temporal cortex analyze movement of both visual and auditory stimuli. Damage there can cause motion blind- ness or motion deafness. (c) The visual cortex is essential for visual imagery, and the primary auditory cortex is essential for auditory imagery. (d) Both the visual and auditory cortices need normal experience early in life to develop normal sensitivities. 5. Damage to the primary visual cortex leaves someone blind, but damage to the pri- mary auditory cortex merely impairs perception of complex sounds without making the person deaf. 6. People with damage to the auditory cortex regard many sound-related words, such as “thunder,” as if they were nonwords.

STOP & CHECK 4. How is the auditory cortex like the visual cortex? 5. What is one way in which the auditory and visual cortices differ? 6. What evidence suggests that human concepts rely on activation

of the relevant sensory or motor areas of the cortex?

Primary auditory cortex

Secondary auditory cortex

Highest piano notes

Treble clef

Very high squeaky sounds

(a)

(b)

Figure 6.6 The human primary auditory cortex Cells in each area respond mainly to tones of a particular frequency. Based on the data of Leaver & Rauschecker, 2016.

Sound Localization You are walking alone when suddenly you hear a loud noise. You want to know what produced it (friend or foe), but equally, you want to know where it came from. Sound localization is less accurate than visual localization, but nevertheless impressive. Owls localize sounds well enough to capture mice in the dark.

Determining the direction and distance of a sound requires comparing the responses of the two ears. One method is the difference in time of arrival at the two ears. A sound coming directly from one side reaches your closer ear about 600 microseconds (µs) before the other. A smaller difference in arrival times indicates a sound source nearer to your midline. Time of arrival is useful for local- izing sounds with a sudden onset. Most birds’ alarm calls increase gradually in loudness, making them difficult for a predator to localize.

Another cue for location is the difference in inten- sity between the ears. For high-frequency sounds, with a wavelength shorter than the width of the head, the head creates a sound shadow (see Figure 6.7), making the sound louder for the closer ear. In adult humans, this mechanism produces accurate sound localization for frequencies above 2000 to 3000 Hz and less accurate localizations for lower frequencies.

the theory that human concepts rely on associations with the sensations or actions that initially established them. If you cannot imagine a sound, then a word relating to sound seems meaningless.

08202_ch06_ptg01.indd 193 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

194 CHAPTER 6 Other Sensory Systems

A third cue is the phase difference between the ears. Every sound wave has phases with peaks 360 degrees apart. Figure 6.8 shows sound waves that are in phase or out of phase. If a sound originates to the side of the head, the sound wave strikes the two ears out of phase, as shown in Figure 6.9. How much out of phase depends on the frequency of the sound, the size of the head, and the direction of the sound. Phase differ- ences provide information that is useful for localizing sounds with frequencies up to about 1500 Hz in humans. Speech sounds and music are well within this range.

If your head is under water, you will have trouble localizing low- and medium-frequency sounds. The reason is that sounds travel faster in water than in air, so a sound arrives at the two ears almost simultaneously and the phase differences are small, also.

In short, humans localize low frequencies by phase differ- ences, and high frequencies by loudness differences. We can lo- calize a sudden sound of any frequency by the times of onset. All of these methods require learning, because as your head grows, the distance between your ears increases, and you need to recali- brate how you localize sounds (Kumpik, Kacelnik, & King, 2010).

What would happen if you became deaf in one ear? At first, as you would expect, all sounds would seem to come directly from the side of the intact ear. (That ear hears a sound louder and sooner than the other ear because the other ear doesn’t hear it at all.) Eventually, however, people learn to interpret loudness cues when they hear familiar sounds in a familiar location. They infer that louder sounds come from the side of the intact ear and softer sounds come from the opposite side. Their accuracy does not match that of people with two ears, but it becomes helpful under some conditions (Van Wanrooij & Van Opstal, 2004).

Extra distance sound must travel to reach right ear

Sound shadow

Sound source

Path of sound to far (right) ear

Path of sound to near (left) ear

Figure 6.7 Loudness and arrival times as cues for sound localization Sounds reaching the closer ear arrive sooner as well as louder because the head produces a “sound shadow.” (Source: Based on Lindsay & Norman, 1972)

Sound waves in phase

458 out of phase

908 out of phase

1808 out of phase

Figure 6.8 Sound waves in phase or out of phase Sound waves that reach the two ears in phase are perceived as coming from directly in front of (or behind) the hearer. The more out of phase the waves, the farther the sound source is from the body’s midline.

ANSWER

7. An animal with a small head localizes sounds mainly by differences in loudness because the ears are not far enough apart for differences in onset time to be useful. An animal with a large head localizes sounds mainly by differences in onset time because its ears are far apart and well suited to noting differences in phase or onset time.

STOP & CHECK 7. Which method of sound localization is more effective for an

animal with a small head? Which is more effective for an ani- mal with a large head? Why?

08202_ch06_ptg01.indd 194 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.1 Audition 195

Individual Differences An estimated 4 percent of people have amusia, commonly called “tone deafness” (Hyde & Peretz, 2004). Although not really unable to detect differences in tones, they generally do not detect a change less than about the difference between C and C-sharp (Loui, Alsop, & Schlaug, 2009). Furthermore, they have trouble recognizing tunes, cannot tell whether someone is singing off-key, and do not detect a “wrong” note in a melody. They also have trouble gauging people’s mood, such as happy or sad, from tone of voice (Thompson, Marin, & Stewart, 2012).

For people with amusia, the auditory cortex appears to be approximately normal, but it has fewer than average connec- tions to the frontal cortex (Hyde et al., 2007; Loui et al., 2009; Norman-Haignere et al., 2016). That is, the deficit is evidently not in hearing itself. Rather, these people have poor memory for pitch (Tillman, Leveque, Fornoni, Abouy, & Caclin, 2016), and perhaps poor attention to pitch. Transcranial alternating current applied to the scalp is a noninvasive way to stimulate the underlying area of the brain. When this procedure was applied to part of the right prefrontal cortex of people with amusia, their ability to remember pitch improved to almost normal levels (Schaal, Pfeifer, Krause, & Pollok, 2015). The im- plication is that amusia results from either an impairment of the prefrontal cortex, or input to it from the auditory cortex.

Absolute pitch (or “perfect pitch”) is the ability to hear a note and identify it—for example, “That’s a B-flat.” Ge- netic predisposition contributes (Theusch, Basu, & Gitschier, 2009), but early musical training is also important. Not ev- eryone with musical training develops absolute pitch, but almost everyone with absolute pitch had early musical train- ing (Athos et al., 2007). Absolute pitch is also more common among people who speak tonal languages, such as Vietnamese and Mandarin Chinese (Deutsch, Henthorn, Marvin, & Xu, 2006). In those languages, the meaning of a sound depends on its pitch, and therefore, people learn from infancy to pay close attention to slight changes of pitch.

In the traditional manner of testing for absolute pitch, a researcher plays a pure note and asks someone to name it. By that method, only about one person in 10,000 qualifies, and we are tempted to think of absolute pitch as a “superpower.” However, by other methods of testing, the ability seems more common. For example, many professional violinists can- not name the pitch of a pure note but become much more accurate if they hear a violin note with its harmonics. Simi- lar results apply to pianists and presumably people who play other instruments (Wong & Wong, 2014). Nonmusicians can- not name a note, but if they listen to the theme song from a familiar television show, most can tell whether it was played in its usual key or a different one (Schellenberg & Trehub, 2003). Evidently the ability to recognize a pitch is common, even if the ability to name it is not.

Deafness Although few people are totally unable to hear, many people have enough impairment to prevent speech comprehension. The two categories of hearing loss are conductive deafness and nerve deafness.

Diseases, infections, or tumorous bone growth can prevent the middle ear from transmitting sound waves properly to the cochlea. The result, conductive deafness or middle-ear deafness, is sometimes temporary. If it per- sists, it can be corrected by surgery or by hearing aids that amplify sounds. Because people with conductive deafness have a normal cochlea and auditory nerve, they readily hear their own voices, conducted through the bones of the skull directly to the cochlea, bypassing the middle ear. Because they hear themselves clearly, they may accuse others of mumbling or talking too softly.

Nerve deafness, or inner-ear deafness, results from damage to the cochlea, the hair cells, or the auditory nerve. If it is confined to one part of the cochlea, it impairs hearing of certain frequencies and not others. Nerve deafness can be inherited, it can result from disease, or it can result from ex- posure to loud noises. For example, many soldiers, construc- tion workers, and fans of loud rock music expose themselves to noise levels that damage the synapses and neurons of the auditory system. Gradually they begin to notice ringing in the ears or impaired hearing (Kujawa & Liberman, 2009).

Tinnitus (tin-EYE-tus) is frequent or constant ringing in the ears. In some cases, tinnitus may be due to a phenomenon similar to phantom limb, discussed in Chapter 4. Damage to part of the cochlea is like an amputation: If the brain no longer gets its normal input, axons representing other parts of the body may invade part of the brain area that usually responds to sounds. In many cases, people who have lost their hearing in a particular range report ringing in the ears in the same range, suggesting that some other input is activating part of the auditory cortex. However, many people have tinnitus without hearing loss or reorganization of the cortex (Elgoyhen, Langguth, De Ridder, & Vanneste, 2015). Evidently tinnitus can result from more than one cause.

Figure 6.9 Phase differences as a cue for sound localization A sound coming from anywhere other than straight ahead or straight behind reaches the two ears at different phases of the sound wave. The difference in phase is a signal to the sound’s direction. With high-frequency sounds, the phases become ambiguous.

08202_ch06_ptg01.indd 195 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

196 CHAPTER 6 Other Sensory Systems

Hearing, Attention, and Old Age Many older people have hearing problems despite wearing hearing aids. The hearing aids make the sounds loud enough, but people still have trouble understanding speech, especially in a noisy room or if someone speaks rapidly.

Part of the explanation is that the brain areas responsible for language comprehension have become less active (Peelle, Troiani, Grossman, & Wingfield, 2011). This trend might be just a natural deterioration, or it might be a reaction to prolonged degradation of auditory input. That is, if someone delays getting hearing aids, the language cortex doesn’t get its normal input and it begins to become less responsive.

The rest of the explanation relates to attention. Frequently you want to listen to one person in a noisy room. To hear what you care about, you need to filter out all the other sounds (Mesgarani & Chang, 2013). Healthy young people can filter out irrelevant sounds highly effectively (Molloy, Griffiths, Chait, & Lavie, 2015).

Many older people have a loss of inhibitory neurotrans- mitters in the auditory portions of the brain. As a result, they have trouble suppressing irrelevant sounds. Also, because of decreased inhibitory transmission, the auditory cortex has gradual, spread-out responses to each sound instead of a quick, crisp response to each one. Therefore, the re- sponse to one sound partly overlaps the response to another (Anderson, Parbery-Clark, White-Schwoch, & Kraus, 2012). Attention improves if the listener watches the speaker’s face

(Golumbic, Cogan, Schroeder, & Poeppel, 2013). We all do more lip-reading than we realize, and focusing on the speaker helps to lock attention onto the corresponding sounds. Many older people can attend to their spouse’s voice more effectively than other voices (Johnsrude et al., 2013).

ANSWERS

8. Absolute pitch occurs almost entirely among people who had early musical training and is also more common among people who speak tonal languages, which require greater attention to pitch. 9. Nerve deafness is common among rock band members because their frequent expo- sure to loud noises causes damage to the cells of the ear. 10. In some cases the language areas of the cortex have become less responsive. Also, auditory areas of the brain have decreased levels of inhibitory neurotransmitters, and the result is decreased ability to focus attention on one speaker in a noisy environment.

STOP & CHECK 8. What evidence suggests that absolute pitch depends on

special experiences? 9. Which type of hearing loss—conductive deafness or nerve

deafness—would be more common among members of rock bands and why?

10. Why do many older people have trouble hearing speech in spite of wearing hearing aids?

Functions of Hearing

Module 6.1 In Closing

We spend much of our day listening to language, and we some- times forget that the original, primary function of hearing has to do with simpler but extremely important issues: What do I hear?

Where is it? Is it coming closer? Is it a potential mate, a potential enemy, potential food, or something irrelevant? The organization of the auditory system is well suited to answering these questions.

Summary 1. Sound waves vibrate the tympanic membrane. Three

tiny bones convert these vibrations into more forceful vibrations of the smaller oval window, setting in motion the fluid inside the cochlea. Waves of fluid inside the cochlea stimulate the hair cells that send messages to the brain. 188

2. We detect the pitch of low-frequency sounds by the frequency of action potentials in the auditory system. At intermediate frequencies, we detect volleys of responses across many receptors. We detect the pitch of the highest- frequency sounds by the area of greatest response along the basilar membrane. 190

3. The auditory cortex resembles the visual cortex in many ways. Both have one system specialized for identifying stimuli and one system for localizing them. Both are important for imagining sensory stimuli. Both have specialized areas for detecting motion. 191

4. Each cell in the primary auditory cortex responds best to a particular frequency of tones, although many respond better to complex tones than to a single frequency. 192

5. Areas bordering the primary auditory cortex respond to more complex sounds and analyze their meaning. The auditory cortex contributes to understanding the meaning of words related to sound. 192

08202_ch06_ptg01.indd 196 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.1 Audition 1976.1 Audition 197

6. We localize high-frequency sounds according to differences in loudness between the ears. We localize low-frequency sounds by differences in phase. If a sound occurs suddenly, we localize it by the times of onset in the two ears. 193

7. People vary in their attention to sounds and their ability to process them. Some people are impaired at detecting or remembering differences in sounds. Some people can listen to a tone and identify it, such as C-sharp. 195

8. Deafness may result from damage to the nerve cells or to the bones that conduct sounds to the nerve cells. 195

9. Many older people have trouble attending to relevant information and filtering out the distractions, largely because of the loss of inhibitory neurotransmitters in auditory areas of the brain. 196

Key Terms

amplitude 188 cochlea 190 conductive deafness (middle-ear

deafness) 195 frequency 188 frequency theory 190 hair cells 190

nerve deafness (inner-ear deafness) 195

oval window 190 pinna 189 pitch 188 place theory 190

primary auditory cortex (area A1) 191

timbre 188 tinnitus 195 tympanic membrane 190 volley principle 191

Terms are defined in the module on the page number indicated. They’re also presented in alphabetical order with definitions in the book’s Subject Index/Glossary, which begins

on page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

1. Why do you suppose that the human auditory system evolved sensitivity to sounds in the range of 20 to 20,000 Hz instead of some other range of frequencies?

2. The text explains how we might distinguish loudness for low-frequency sounds. How might we distinguish loudness for a high-frequency tone?

Thought Questions

Module 6.1 End of Module Quiz

1. When ancient fish evolved into land animals, why did they need to evolve the elaborate mechanisms of the middle ear and inner ear? A. To amplify sounds B. To localize sounds

C. To remember sounds D. To distinguish among pitches

2. Where are the auditory receptors, known as hair cells? A. In the auditory nerve B. Along the basilar membrane of the cochlea

C. Between the incus and the stapes D. In the pinna

3. How do we identify a low-pitched sound? A. Low frequencies cause only weak vibrations of the

basilar membrane. B. Each frequency produces a peak response at one point

along the basilar membrane.

C. The whole basilar membrane vibrates in synchrony with the sound frequency.

D. Each frequency vibrates a different part of the pinna.

4. How do we identify a high-pitched sound? A. High frequencies cause only weak vibrations of the

basilar membrane. B. Each frequency produces a peak response at one point

along the basilar membrane.

C. The whole basilar membrane vibrates in synchrony with the sound frequency.

D. Each frequency vibrates a different part of the pinna.

08202_ch06_ptg01.indd 197 9/15/17 6:58 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

198 CHAPTER 6 Other Sensory Systems198 CHAPTER 6 Other Sensory Systems

5. What is one way in which the auditory cortex is not analogous to the visual cortex? A. The auditory cortex does not have separate pathways

for identifying and localizing stimuli. B. Damage to the primary auditory cortex does not cause

deafness.

C. Just imagining a sound does not activate the auditory cortex.

D. Variations in early experience do not modify the audi- tory cortex.

6. What is meant by a “tonotopic map”? A. Each location in the auditory cortex responds to a

preferred tone. B. The auditory cortex has axons back and forth to every

other part of the cortex.

C. Each neuron in the auditory cortex responds differ- ently depending on the location of the source of sound in space.

D. Each cell in the auditory cortex has a “partner” cell in the visual cortex.

7. What type of sound do we localize by comparing the time of arrival at the two ears? A. Slow-onset sounds B. Sudden sounds

C. High-frequency sounds D. Low-frequency sounds

8. Absolute pitch is more common among what type of people? A. People who had a period of auditory deprivation dur-

ing early childhood B. People with extensive musical training beginning in

early childhood

C. People who learned two languages beginning in early childhood

D. People with many older brothers and sisters

9. Why do many older people have trouble understanding speech despite using hearing aids? A. Lack of inhibitory transmission in the auditory cortex B. Gradual shrinkage of the cochlea

C. Decrease in social responsiveness D. Inability to remember the meanings of common words

Answers: 1A, 2B, 3C, 4B, 5B, 6A, 7B, 8B, 9A.

08202_ch06_ptg01.indd 198 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

If you place your hand on the surface of your radio, you feel the vibrations that you hear. If you practiced enough, could you learn to “hear” the vibrations with your fingers? Sorry, that won’t work. If an earless species had enough time, might its vibration detectors evolve into sound detectors? Yes! In fact, our ears did evolve in that way. Much of evolution consists of taking something that evolved for one purpose and modifying it for another purpose.

The mechanical senses respond to pressure, bending, or other distortions of a receptor. They include touch, pain, and other body sensations, as well as vestibular sensation, which detects the position and movement of the head. Audition is also a mechanical sense because the hair cells are modified touch receptors. We considered it separately because of its complexity and importance.

Vestibular Sensation Try to read a page while you jiggle your head up and down or back and forth. You will find that you can read it fairly easily, unless you jiggle your head too fast. Now hold your head steady and jiggle the page up and down, back and forth. In that case, you can hardly read it at all. Why?

When you move your head, the vestibular organ adjacent to the cochlea monitors movements and directs compensa- tory movements of your eyes. When your head moves left, your eyes move right; when your head moves right, your eyes move left. Effortlessly, you keep your eyes focused on what you want to see (Brandt, 1991). When you quickly move the page back and forth, however, the vestibular organ cannot keep your eyes on target.

Sensations from the vestibular organ detect the direction of tilt and the amount of acceleration of the head. You use that information automatically for guiding eye movements and maintaining balance. Mice with an impairment of vestibular sensation frequently lose their balance and fall down. They cannot swim or float because they are often upside down (Mariño et al., 2010). Similarly, people with impairments of the vestibular system stagger and fall.

The vestibular organ, shown in Figure 6.10, consists of the saccule, utricle, and three semicircular canals. Like the hearing receptors, the vestibular receptors are modified touch receptors.

Calcium carbonate particles called otoliths lie next to the hair cells. When the head tilts in different directions, the otoliths push against different sets of hair cells and excite them (Hess, 2001). The otoliths tell the brain which direction you are moving, but they also record which direction the head tilts when you are at rest.

The three semicircular canals, oriented in perpendicular planes, are filled with a fluid and lined with hair cells. Accel- eration of the head at any angle causes the fluid in one of these canals to move, just as the water in a bucket will splash if you jerk the bucket from side to side. The fluid then pushes against the hair cells in the semicircular canals, setting up action po- tentials. Unlike the saccule and utricle, the semicircular canals record only the amount of acceleration, not the position of the head at rest. They are also insensitive to sustained motion. If you start forward on a bicycle, car, or airplane, the semicircu- lar canals respond as you accelerate, but as you continue at a steady pace, the receptors stop responding.

The vestibular organ is nearly the same size for all mam- malian species. Whales are 10 million times as massive as mice, but their vestibular organ is only 5 times as large (Squires, 2004). Evidently a small vestibular organ provides all the information we need. For analogy, small thermometers can be nearly as accurate as larger ones.

Module 6.2

TRY IT YOURSELF

ANSWER

11. The vestibular system enables the brain to shift eye movements to compensate for changes in head position. Without feedback about head position, a person would not be able to correct the eye movements, and the experi- ence would be like watching a jiggling book page.

STOP & CHECK 11. People with damage to the vestibular system have trouble

reading street signs while walking. Why?

Somatosensation The somatosensory system, the sensation of the body and its movements, is not one sense but many, including discriminative touch (which identifies the shape of an object), deep pressure, cold, warmth, pain, itch, tickle, and the position and movement of joints.

199

The Mechanical Senses

08202_ch06_ptg01.indd 199 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

200 CHAPTER 6 Other Sensory Systems

(b)

(c)

(a)

Semicircular canals

Saccule and utricle

Hair cell

Inner ear

Vestibular nerve bers

Otoliths

Figure 6.10 Structures for vestibular sensation (a) Location of the vestibular organs. (b) Structures of the vestibular organs. (c) Cross section through a utricle. Calcium carbonate particles, called otoliths, press against different hair cells depending on the tilt and acceleration of the head.

Somatosensory Receptors Table 6.1 describes somatosensory receptors, including those shown in Figure 6.11 (Iggo & Andres, 1982; Zimmerman, Bai, & Ginty, 2014). Other receptors not in the table respond to joint movement or muscle movements.

Consider the Pacinian corpuscle, which detects vibra- tions or sudden displacements on the skin (see Figure 6.12). At the center is the neuron membrane. The onion-like outer structure provides mechanical support that resists gradual or constant pressure. It thereby insulates the neuron against most touch stimuli. However, a sudden or vibrating stimulus bends the membrane, enabling sodium ions to enter, depolar- izing the membrane (Loewenstein, 1960).

Merkel disks respond to light touch, such as when you feel an object. Suppose you feel objects with thin grooves like these, without looking at them, and try to feel whether the grooves go left to right or up and down:

The experimenter varies the width of the grooves to find the narrowest grooves you can discern. On average, women can detect grooves about 1.4 mm apart, whereas men need the grooves to be about 1.6 mm apart. Your first question might be, “Who cares?” but if you get past that question, your sec- ond question might be why men and women differ. Unlike many sex differences, this one is easy to explain. It reflects the fact that on the average, women have smaller fingers. Appar- ently women have the same number of Merkel disks as men, but compacted into a smaller area. If you compare men and women who have the same finger size, their touch sensitivity is the same (Peters, Hackeman, & Goldreich, 2009).

The body has specialized receptors to detect tempera- ture, a critical variable to monitor, given that overheating or

Receptor Location Responds to:

Free nerve ending Any skin area Pain and temperature

Hair-follicle receptors

Hair-covered skin

Movement of hairs

Meissner’s corpuscles

Hairless areas Movement across the skin

Pacinian corpuscles Any skin area Vibration or sudden touch

Merkel’s disks Any skin area Static touch

Ruffini endings Any skin area Skin stretch

Krause end bulbs Mostly hairless areas

Uncertain

Table 6.1 Somatosensory Receptors and Probable Functions

08202_ch06_ptg01.indd 200 9/14/17 3:49 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.2 The Mechanical Senses 201

overcooling the body can be fatal. The systems for cooling and heating show an interesting asymmetry: Cold-sensitive neu- rons in the spinal cord respond to a drop in temperature. For example, a cell that responds to a drop from 39° C to 33° C would also respond to a drop from 33° C to 27° C. Thus, on a very hot day, you might detect a breeze as “cool,” even though the air in the breeze is fairly warm. Cold-sensitive neurons adapt quickly, and show little response to a constant low tem- perature. In contrast, heat-sensitive neurons in the spinal cord respond to the absolute temperature, and they do not adapt. A cell that responds to 44° C will respond the same way re- gardless of whether the skin was hotter, cooler, or the same temperature a minute or two ago (Ran, Hoon, & Chen, 2016).

Meissner’s corpuscle

Merkel disks

Pacinian corpuscle

Pain receptor

Ruf�ni ending

Figure 6.11 Sensory recep- tors in the skin The receptors respond to several types of skin sensation, as described in Table 6.1.

ANSWER

12. Jalapeños and other hot peppers contain capsaicin, which stimulates receptors that are sensitive to painful heat.

STOP & CHECK 12. How do jalapeños produce a hot sensation?

Figure 6.12 A Pacinian corpuscle Pacinian corpuscles are receptors that respond best to sudden displace- ment of the skin or to high-frequency vibrations. The onion-like outer structure provides a mechanical support to the neuron inside it so that a sudden stimulus can bend it but a sustained stimulus cannot. (Source: Ed Reschke)

Our temperature receptors also respond to certain chemi- cal stimuli. Capsaicin, a chemical found in hot peppers such as jalapeños, stimulates the receptors for painful heat. Capsaicin can produce burning or stinging sensations on many parts of your body, as you may have experienced if you ever touched the insides of hot peppers and then rubbed your eyes. Szechuan peppers stimulate the heat receptors, and in addition stimulate certain touch receptors that give a tingling sensation (Bautista et al., 2008). Menthol and mint stimulate the coolness recep- tor (McKemy, Neuhausser, & Julius, 2002). So advertisements mentioning “the cool taste of menthol” are literally correct.

Tickle The sensation of tickle is interesting but poorly understood. Why does it exist at all? Why do you laugh if someone fingers your arm- pit, neck, or the soles of your feet? Chimpanzees respond to simi- lar sensations with bursts of panting that resemble laughter. And yet tickling is unlike humor. We love humor, but most people don’t like being tickled, at least not for long. Laughing at a joke makes you more likely to laugh at the next joke. But being tickled doesn’t change your likelihood of laughing at a joke (Harris, 1999).

Why can’t you tickle yourself? It is for the same reason that you cannot surprise yourself. When you touch yourself, your brain compares the resulting stimulation to the “expected”

08202_ch06_ptg01.indd 201 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

202 CHAPTER 6 Other Sensory Systems

stimulation and generates a weaker somatosensory response than you would experience from an unexpected touch (Blake- more, Wolpert, & Frith, 1998). Actually, some people can tickle themselves—a little—if they tickle the right side of the body with the left hand or the left side with the right hand. Also, you might be able to tickle yourself as soon as you wake up, before your brain is fully aroused. See whether you can remember to try that some time when you awaken.

Somatosensation in the Central Nervous System Information from touch receptors in the head enters the cen- tral nervous system (CNS) through the cranial nerves. Informa- tion from receptors below the head enters the spinal cord and passes toward the brain through any of the 31 spinal nerves (see Figure 6.13), including 8 cervical nerves, 12 thoracic nerves,

Brain

Cervical nerves (8 pairs)

First thoracic vertebra

Thoracic nerves (12 pairs)

Lumbar nerves (5 pairs)

Sacral nerves (5 pairs)

Coccygeal nerves (1 pair)

Spinal cord

Figure 6.13 The human central nervous system (CNS) Spinal nerves from each segment of the spinal cord exit through the cor- respondingly numbered opening between vertebrae. (© Argosy Publishing Inc.)

T3 T4 T5 T6 T7 T8 T9 T10 T11 T12

I II III

C7 C8

C6

T1

C5 T2

C2

C3 C4

C5 T2

C6

T1

C7 C8

S2

S2

L5

L4

S1 S1

S2

L3 L3

L5

L2 L2 S 2

L1

S2

S2

L5

L4

S1

Figure 6.14 Dermatomes innervated by the 31 sensory spinal nerves Areas I, II, and III of the face are not innervated by the spinal nerves but instead by three branches of the fifth cranial nerve. Although this figure shows distinct borders, the dermatomes actually overlap one another by about one-third to one-half of their width.

TRY IT YOURSELF

5 lumbar nerves, 5 sacral nerves, and 1 coccygeal nerve. Each spinal nerve has a sensory component and a motor component.

Each spinal nerve innervates (connects to) a limited area of the body called a dermatome (see Figure 6.14). For example, the third thoracic nerve (T3) innervates a strip of skin just above the nipples as well as the underarm area. But the borders between dermatomes are less distinct than Figure 6.14 implies. Each der- matome overlaps one-third to one-half of the next dermatome.

Various types of somatosensory information—such as touch, pressure, and pain—travel through the spinal cord in separate pathways toward the thalamus, which then sends impulses to dif- ferent areas of the primary somatosensory cortex, located in the parietal lobe. Information about skin sensations also goes to areas such as the anterior portion of the cingulate gyrus (see Figure 3.10) and insular cortex, which respond only to the pleasantness of the sensation, not the sensation itself (Case et al., 2016).

Two parallel strips along the somatosensory cortex re- spond mostly to touch on the skin. Two other parallel strips respond mostly to deep pressure and movement of the joints and muscles (Kaas, 1983). In short, various aspects of body

08202_ch06_ptg01.indd 202 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.2 The Mechanical Senses 203

Pain Many sensations sometimes evoke strong emotions, but pain is unique among senses because it always evokes an emotion, an unpleasant one. Pain and depression are closely linked. Peo- ple in pain are likely to become depressed and unmotivated (Schwartz et al., 2014). People who are depressed become more sensitive to pain. Economic insecurity leads to depres- sion and makes a pain feel worse (Chou, Parmar, & Galinsky, 2016). Even a signal that suggests possible danger increases pain (Harvie et al., 2015). Some languages do not have a sep- arate word for depressed; they describe a depressed state of mind as “sick” or “pained.” Also, pain and depression are both sensitive to placebo effects. But more about that issue later.

Have you ever wondered why morphine decreases pain after surgery but not during the surgery itself? Or why some people seem to tolerate pain so much better than others? Or why even the slightest touch on sunburned skin is so painful? Research on pain addresses these and other questions.

Stimuli and Spinal Cord Paths Pain sensation begins with the least specialized of all receptors, a bare nerve ending (see Figure 6.11). Because the axons car- rying pain information have little or no myelin, they conduct impulses relatively slowly, in the range of 2 to 20 meters per sec- ond (m/s). The thicker and faster axons convey sharp pain. The thinner ones convey duller pain, such as postsurgical pain. Mild pain releases the neurotransmitter glutamate, whereas stronger pain releases glutamate but also certain neuropeptides includ- ing substance P and CGRP (calcitonin gene-related peptide).

The pain-sensitive cells in the spinal cord relay informa- tion to several sites in the brain. One path extends to the ventral posterior nucleus of the thalamus and then to the somatosen- sory cortex. The spinal paths for pain and touch are parallel, but with one important difference, as illustrated in Figure 6.15: The pain pathway crosses immediately from receptors on one side of the body to a tract ascending the contralateral side of the spi- nal cord. Touch information travels up the ipsilateral side of the spinal cord to the medulla, and then crosses to the contralateral side. Consider what happens to pain and touch if someone re- ceives a cut that goes halfway through the spinal cord. You can reason out the answer in the next Stop & Check question.

sensation remain mostly separate all the way to the cortex. Along each strip of somatosensory cortex, each subarea re- sponds to a particular area of the body, as shown in Figure 3.23.

The primary somatosensory cortex is essential for touch experiences. When weak, brief stimuli are applied to the fingers, people are conscious of only those that pro- duce a certain level of arousal in the primary somatosensory cortex (Palva, Linkenkaer-Hansen, Näätäen, & Palva, 2005). If someone touches you quickly on two nearby points on the hand, you will probably have an illusory experience of a single touch midway between those two points. When that happens, the activity in the primary somatosensory cortex corresponds to that midway point (Chen, Friedman, & Roe, 2003). In other words, the activity corresponds to what you experience, not what has actually stimulated your receptors.

Damage to the somatosensory cortex impairs body percep- tions. A patient who had damage in the somatosensory cortex had trouble putting her clothes on correctly. Also she could not point correctly in response to such directions as “show me your elbow,” although she pointed correctly to objects in the room. When told to touch her elbow, her most frequent response was to feel her wrist and arm and suggest that the elbow was probably around there, somewhere (Sirigu, Grafman, Bressler, & Sunderland, 1991).

One patient had an illness that destroyed all the myelin- ated somatosensory axons from below his nose but spared his unmyelinated axons. He still felt temperature, pain, and itch, because they depend on the unmyelinated axons. However, he had no conscious perception of touch, which depends on my- elinated axons. Curiously, if someone lightly stroked his skin, he experienced a vague sense of pleasure. Recordings from his brain indicated no arousal of his primary somatosensory cortex but increased activity in the insular cortex, which responds to light touch and other pleasant emotional experiences (Björns- dotter, Löken, Olausson, Vallbo, & Wessberg, 2009). Evidently, unmyelinated axons conveyed enough activity to the insular cortex to produce the emotional aspect of touch even though he had no conscious sensation of the touch itself.

ANSWERS

13. We have several types of receptors, sensitive to touch, heat, and so forth, and different parts of the somatosensory cortex respond to different kinds of skin stimulation. 14. People are conscious of only those touch stimuli that produce sufficient arousal in the pri- mary somatosensory cortex. Also, cells in the somato- sensory cortex respond to what someone experiences, even if it is an illusion. 15. The somatosensory cortex is necessary for conscious perception of the location and type of skin sensation. The insular cortex and anterior cingulate cortex respond to the pleasantness.

STOP & CHECK 13. In what way is somatosensation several senses instead of one? 14. What evidence suggests that the somatosensory cortex is

essential for the conscious perception of touch? 15. How do the responses to skin sensations differ between the

somatosensory cortex and the insular cortex or the anterior cingulate cortex?

ANSWER

16. You will lose pain sensation on the left side of the body because pain information crosses the spinal cord at once. You will lose touch sensation on the right side because touch pathways remain on the ipsilateral side until they reach the medulla.

STOP & CHECK 16. Suppose you suffer a cut through the spinal cord on the

right side only. For the part of the body below that cut, will you lose pain sensation on the left side or the right side? Will you lose touch sensation on the left side or the right side?

08202_ch06_ptg01.indd 203 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

204 CHAPTER 6 Other Sensory Systems

Emotional Pain In addition to the somatosensory cortex, painful stimuli also activate a path that goes through the medulla, and then to the

Cerebral cortex

Discriminative touch (recognition of shape, size, texture)

From medulla to cerebral cortex, both touch and pain are represented on the contralateral side.

(Note cross-over)

In spinal cord, information from one side of the body travels on ipsilateral side for touch and contralateral side for pain.

Ventricle

Thalamus

Midbrain

Medulla

Spinal cord segments

Pain, temperature, tickle

Figure 6.15 Spinal path- ways for touch and pain Pain information crosses to the contralateral side of the spinal cord at once, whereas touch information does not cross until the medulla. Touch and pain sensations from the right side of the body (not shown in the figure) are the mirror image of what you see here.

Somatosensory cortex

Thalamus

Cingulate cortex

Hypothalamus

Cross section through the spinal cord

Amygdala

Skin

Hippocampus

Figure 6.16 Pain messages in the human brain A pathway to the thalamus, and from there to the somatosensory cortex, conveys the sensory aspects of pain. A separate pathway to the hypothalamus, amygdala, and cingulate cortex produces the emotional aspects. (Source: Hunt & Mantyh, 2001)

thalamus, and then to the amygdala, hippocampus, prefrontal cortex, and anterior cingulate cortex (see Figure 6.16). These areas react not to the sensation itself but to its emotional as- pect (Hunt & Mantyh, 2001). If you watch someone—especially

08202_ch06_ptg01.indd 204 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.2 The Mechanical Senses 205

Ways of Relieving Pain You would not want to be free from the ability to feel pain. People with a gene that inactivates pain axons do not know when they are getting hurt (Dib-Hajj, Black, & Waxman, 2015). They sometimes ignore their injuries and they do not learn to avoid dangers. One boy with this condition performed street theater in Pakistan by thrusting a knife through his arm or walking on burning coals. He died at age 14 by falling off a roof (Cox et al., 2006). Nevertheless, although you wouldn’t want to eliminate pain, it is good to control it.

Opioids and Endorphins After pain alerts you to an injury, you do not need constant reminders, at least not of the same intensity. The brain puts the brakes on prolonged pain by opioid mechanisms— systems that respond to opiate drugs and similar chemicals. Candace Pert and Solomon Snyder (1973) discovered that opi- ates bind to receptors found mostly in the spinal cord and the periaqueductal gray area of the midbrain (see Figures 6.17 and 6.18).

The discovery of opiate receptors was important because it showed that opiates act mainly on the nervous system rather than the injured tissue. Furthermore, it implied that the ner- vous system has its own opiate-type chemicals. The transmit- ters that attach to the same receptors as morphine are known as endorphins—a contraction of endogenous morphines. The brain produces several types of endorphins, which relieve dif- ferent types of pain, such as the pain from a cut versus the pain from a burn (Scherrer et al., 2009).

Inescapable pain is especially potent at stimulating en- dorphins and inhibiting further pain (Sutton et al., 1997). Pre- sumably, the evolutionary function is that continued intense pain accomplishes nothing when you already know about the problem but cannot escape. Endorphins are also released dur- ing intense pleasures, such as orgasm and when you listen to thrilling music that sends a chill down your spine (Goldstein, 1980). Those experiences tend to decrease pain. An enjoy- able meal also decreases pain sensitivity (Foo & Mason, 2009), probably by releasing dopamine rather than endorphins (Sch- weinhardt, Seminowicz, Jaeger, Duncan, & Bushnell, 2009).

The discovery of endorphins provided physiological details for the gate theory, proposed decades earlier by Ronald Melzack and P. D. Wall (1965). The gate theory was an attempt to explain why some people withstand pain better than others and why the same injury hurts worse at some times than others. According to the gate theory, spinal cord neurons that receive messages from

someone you care about—experiencing pain, you experience sympathetic pain that shows up as activity in your cingulate cor- tex and other cortical areas (Corradi-Dell’Acqua, Hofstetter, & Vuilleumier, 2011; Singer et al., 2004). A hypnotic suggestion to feel no pain decreases the responses in the cingulate cortex without much effect on the somatosensory cortex (Rainville, Duncan, Price, Carrier, & Bushnell, 1997). That is, someone responding to a hypnotic sensation feels the painful sensation almost normally but reacts with emotional indifference. People with damage to the cingulate gyrus still feel pain, but it no lon- ger distresses them (Foltz & White, 1962).

Sometimes you might say that someone hurt your feelings. After a romantic breakup, you might say you feel emotional pain. Is it just an expression, or is emotional distress really like pain?

Hurt feelings do resemble physical pain in several re- gards. Imagine yourself in this experiment: You sit in front of a computer screen, playing a virtual ball-tossing game with two people your own age. You “catch” a ball and then “throw” it to one of the others, who then tosses it back to someone. Unbe- knownst to you, the other two have been paid to play certain roles. At first they throw it to you a fair share of times, but be- fore long they start passing it back and forth between the two of them, leaving you out. Not much is at stake here, but the expe- rience reminds you of all those times when people left you out of a conversation, times when people didn’t invite you to their parties, and so forth since early childhood. It hurts. Experi- menters monitored people’s brain activity during this virtual ball-throwing task and found significantly increased activity in the cingulate cortex, an area responsive to the emotional as- pects of pain (Eisenberger, Lieberman, & Williams, 2003).

What happens with more intense hurt feelings? Experi- menters measured brain activity while young adults remem- bered a recent romantic breakup, made more intense by looking at a photo of the ex-boyfriend or ex-girlfriend. In this case, the hurt feelings showed up as activity in both the emotional areas (especially the cingulate cortex) and the sensory areas responsive to physical pain (Kross, Berman, Mischel, Smith, & Wager, 2011).

Hurt feelings are like real pain in another way: You can relieve hurt feelings with pain-relieving drugs such as acet- aminophen (Tylenol®)! Researchers repeated the virtual ball- tossing study, but gave some people acetaminophen and the others a placebo. Those taking acetaminophen showed much less response in the cingulate cortex and other emotionally re- sponsive areas. The researchers also asked college students to keep daily records about hurt feelings and social pain, while some took daily acetaminophen pills and others took a pla- cebo. Those taking acetaminophen reported fewer cases of hurt feelings, and the frequency of hurt feelings declined over days as they continued taking the pills (De Wall et al., 2010). In short, hurt feelings are a great deal like physical hurt. (The next time someone says you hurt their feelings, just tell them to quit complaining and take a Tylenol!) However, there is a price to pay: People taking acetaminophen also decrease their evaluations of positive experiences (Durso, Luttrell, & Way, 2015). Under the influence of that pill, the bad experiences are not as bad, and the good experiences are not as good.

ANSWER

17. Hurt feelings activate the cingulate cortex, just as physical pain does. Also, acetaminophen decreases hurt feelings (as well as pleasant feelings).

STOP & CHECK 17. In what ways are hurt feelings similar to physical pain?

08202_ch06_ptg01.indd 205 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

206 CHAPTER 6 Other Sensory Systems

Opiate receptors

Pain afferent

Endorphin

Figure 6.17 Synapses for pain and its inhibition A neuron releases endorphins at presynaptic synapses, thereby inhibiting a cell conveying pain sensations.

Release endorphins, which inhibit an inhibitory cell and therefore excite...

Excites Pons

To spinal cordInhibits activity

Axons carrying pain messages

Medulla

Periaqueductal gray area

Area in rostral part of medulla

Areas of spinal cord that receive pain messages

Certain kinds of painful and other stimuli

Figure 6.18 The periaqueductal gray area, where electrical stimulation relieves pain Periaqueductal means “around the aque- duct,” a passageway of cerebrospinal fluid between the third and fourth ventricles.

08202_ch06_ptg01.indd 206 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.2 The Mechanical Senses 207

pain receptors also receive input from touch receptors and from axons descending from the brain. These other inputs can close the “gates” for the pain messages—and they do so at least partly by releasing endorphins. You have no doubt noticed that when you have an injury, you can decrease the pain by gently rubbing the skin around it or by concentrating on something else.

Morphine does not affect large-diameter axons that convey sharp pain. For that reason, morphine is ineffective against the sharp pain of a surgeon’s knife. However, morphine does block messages from thinner axons that convey slower, duller pain such as postsurgical pain (Taddese, Nah, & McCleskey, 1995).

Cannabinoids and Capsaicin Morphine and other opiates are effective pain reducers, but they have limitations. For example, prolonged treatment of pain with morphine activates parts of the immune system, with results that include an increase in sensitivity to pain (Grace et al., 2016). Thus, researchers search for other ways to relieve pain. Cannabinoids—chemicals derived from or similar to marijuana—block certain kinds of pain. However, cannabinoids can produce problems of their own, including memory impairment (Viñals et al., 2015), and research on cannabinoids for pain relief has not been extensive.

Unlike opiates, cannabinoids act mainly in the periphery of the body rather than the CNS. Researchers found that if they deleted the cannabinoid receptors in the peripheral ner- vous system of laboratory animals while leaving the receptors intact in the CNS, cannabinoids lost most of their ability to decrease pain (Agarwal et al., 2007).

Another approach uses capsaicin, a chemical in jalapeños and similar peppers that stimulates receptors for heat. Cap- saicin rubbed onto a sore shoulder, an arthritic joint, or other painful area produces a temporary burning sensation followed by a longer period of decreased pain. When applied in high doses, or at lower doses for a prolonged period, capsaicin causes an excessive buildup of calcium in heat receptors, and damages the mitochondria in those receptors, rendering the cell nonfunctional for a substantial time (Anand & Bley, 2011).

Do not try eating hot peppers to reduce pain in, say, your legs. The capsaicin you eat passes through the digestive system without entering the blood. Therefore, eating it will not relieve your pain— unless the pain is in your tongue (Karrer & Bartoshuk, 1991).

Placebos In much medical research, an experimental group receives a potentially active treatment and the control group receives a placebo, a drug or other procedure with no pharmacological effects. Placebos have little influence on most conditions, but they often relieve pain, depression, and anxiety (Hróbjartsson & Gøtzsche, 2001; Wager & Atlas, 2015). People who receive placebos do not just say the pain decreased; scans of the brain and spinal cord also show a decreased response (Eippert, Fin- sterbusch, Binget, & Büchel, 2009). Conversely, if someone is told to expect pain to increase, the nervous system increases its response (Geuter & Büchel, 2013; Koban & Wager, 2016). Place- bos reduce pain but they produce an even greater effect on the

emotional response to pain, as recorded in the cingulate cortex (Petrovic, Kalso, Petersson, & Ingvar, 2002; Wager, Scott, & Zu- bieta, 2007). They also reduce the emotional response to watch- ing someone else in pain (Rütgen, Seidel, Riecansky, & Lamm, 2015). Oddly, placebos can reduce pain even when people know they are receiving a placebo. The physician can say that this is just a placebo but many people respond well to a placebo, and sure enough, that is the result (Rosenzweig, 2016).

Although placebos decrease pain partly by relaxation, that is not the whole explanation. In one study, people were given painful injections into both hands and both feet. They were also given a placebo cream on one hand or foot and told that it was a powerful painkiller. People reported decreased pain in the area that got the placebo but normal pain on the other three extremities (Benedetti, Arduino, & Amanzio, 1999). If placebos were simply producing relaxation, the relaxation should have affected all four extremities. Distraction is not the whole ex- planation, either. Distraction plus placebo relieves pain more than distraction alone does (Buhle, Stevens, Friedman, & Wa- ger, 2012). A placebo increases activity in parts of the prefrontal cortex, suggesting that a placebo exerts its effects by top-down control of sensations and emotions (Meyer et al., 2015).

ANSWERS

18. Endorphins block messages from the thinnest pain fibers, conveying dull pain, but not from thicker fibers, carrying sharp pain. 19. Unlike opiates, cannabinoids exert most of their pain-relieving effects in the peripheral nervous system, not the CNS. 20. Placebos primarily relieve the emotional aspect of pain.

STOP & CHECK 18. Why do opiates relieve dull pain but not sharp pain? 19. How do the pain-relieving effects of cannabinoids differ

from those of opiates? 20. Which aspect of pain is most responsive to relief by

placebos?

Sensitization of Pain If you have ever been sunburned, you remember how even a light touch on that sunburned skin became dreadfully pain- ful. Damaged or inflamed tissue, such as sunburned skin, releases histamine, nerve growth factor, and other chemicals that help repair the damage but also magnify the responses of nearby heat and pain receptors (Chuang et al., 2001; Devor, 1996; Tominaga et al., 1998). Nonsteroidal anti-inflammatory drugs, such as ibuprofen, relieve pain by reducing the release of chemicals from damaged tissues (Hunt & Mantyh, 2001).

Some people suffer chronic pain long after an injury has healed. As we shall see in the chapter on memory, a barrage of stimulation to a neuron can potentiate its synaptic receptors so that they respond more vigorously to the same input in the future. That mechanism is central to learning and memory, but unfortunately, pain activates the same mechanism. A bar- rage of painful stimuli potentiates the cells responsive to pain

08202_ch06_ptg01.indd 207 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

208 CHAPTER 6 Other Sensory Systems

cowhage (a tropical plant with barbed hairs), also produces itch. Antihistamines block the itch that histamines cause but not the itch that cowhage causes. Conversely, rubbing the skin with cap- saicin relieves the itch that cowhage causes, but it has little effect on the itch that histamine causes (Johanek et al., 2007).

The itch receptors are slow to respond, and when they do, their axons transmit impulses at the unusually slow velocity of only half a meter per second. At that rate, an action potential from your foot needs 3 or 4 seconds to reach your head. Imagine the delay for a giraffe or an elephant. You might try lightly rubbing some rough leaves against your ankle. Note how soon you feel the touch sensation and how much more slowly you notice the itch.

Itch is useful because it directs you to scratch the itchy area and remove whatever is irritating your skin. Vigorous scratch- ing produces mild pain, and pain inhibits itch (Davidson, Zhang, Khasabov, Simone, & Giesler, 2009). Opiates, which decrease pain, increase itch (Andrew & Craig, 2001; Y. Liu et al., 2010; Moser & Giesler, 2013). This inhibitory relationship between pain and itch is clear evidence that itch is not a type of pain. Further evidence is the demonstration that blocking itch fibers does not reduce pain (Roberson et al., 2013).

This research helps explain an experience that you may have noticed. When a dentist gives you Novocain before drilling a tooth, part of your face becomes numb. An hour or more later, as the drug’s effects start to wear off, you may feel an itchy sensation in the numb portion of your face. But when you try to scratch it, you feel nothing because the touch and pain sensations are still numb. Evidently, the effects of Novocain wear off faster for itch than for touch and pain. The fact that you can feel itch at this time is evidence that it is not just a form of touch or pain. It is interesting that scratch- ing the partly numb skin does not relieve the itch. Evidently, scratching has to produce some pain to decrease the itch.

so that they respond more vigorously to similar stimulation in the future (Bliss, Collingridge, Kaang, & Zhuo, 2016). In effect, the brain learns how to feel pain, and it gets better at it.

Therefore, to prevent chronic pain, it helps to limit pain from the start. Suppose you are about to undergo major sur- gery. Which approach is best?

1. Take medication to relieve pain before the surgery. 2. Begin medication soon after awakening from surgery. 3. Postpone the medication as long as possible and take as

little as possible.

Perhaps surprisingly, the research supports answer 1: Take a pain-relieving treatment before the surgery (Coderre, Katz, Vac- carino, & Melzack, 1993). Allowing pain messages to bombard the brain during and after the surgery increases the sensitivity of the pain nerves and their receptors (Malmberg, Chen, Tonagawa, & Basbaum, 1997). People who begin taking morphine or other medications before surgery need less help afterward.

ANSWERS

21. Anti-inflammatory drugs block the release of chemicals from damaged tissues, which would other- wise magnify the effects of pain receptors. 22. One mechanism for memory is that repeated stimulation at a synapse increases its later response to the same type of stimulation. Similarly, repeated pain messages increase a synapse’s response to similar stimuli, and therefore the result is chronic pain.

STOP & CHECK 21. How do ibuprofen and other nonsteroidal anti-inflamma-

tory drugs decrease pain? 22. In what way is chronic pain like memory?

Itch Have you ever wondered, “What is itch, anyway? Is it a kind of pain? A kind of touch? Or something else altogether?” The answer is, itch is a separate sensation. Researchers have identi- fied special receptors for itch (Y.-G. Sun et al., 2009) and two spinal cord paths conveying itch (Bourane et al., 2015).

You have two kinds of itch that feel about the same, al- though their causes are different. First, when you have mild tis- sue damage, such as when your skin is healing after a cut, your skin releases histamines that dilate blood vessels and produce an itching sensation. Second, contact with certain plants, especially

TRY IT YOURSELF

ANSWERS

23. Opiates increase itch by blocking pain sensations. (Pain decreases itch.) 24. Two kinds of drugs might help—histamines or capsaicin—depending on the source of the itch.

STOP & CHECK 23. Do opiates increase or decrease itch sensations? 24. Suppose someone suffers from constant itching. What kinds

of drugs might help relieve it?

The Mechanical Senses Module 6.2 In Closing

The mechanical senses alert you to important information, from heat to cold and from pain to gentle, pleasant touch. The system consists of many receptors, spinal paths, and

brain areas. Yet we perceive all this information together— for instance, when you feel the shape and temperature of an object.

08202_ch06_ptg01.indd 208 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.2 The Mechanical Senses 2096.2 The Mechanical Senses 209

You also integrate touch with other senses. For example, suppose someone touches you so lightly that you don’t feel it. If at the same time you see a picture of someone touching you

in just that way, facilitation by what you see enables you to feel the touch (Serino, Pizzoferrato, & Làdavas, 2008). All the senses combine to give a unified experience.

Summary 1. The vestibular system detects the position and accelera-

tion of the head and adjusts body posture and eye move- ments accordingly. 199

2. The somatosensory system has receptors that detect several kinds of stimulation of the skin and internal tissues. 199

3. The brain maintains several parallel somatosensory representations of the body. 202

4. Activity in the primary somatosensory cortex corre- sponds to what someone is experiencing, even if it is illusory. 203

5. Injurious stimuli excite pain receptors, which are bare nerve endings. 203

6. Painful information takes two routes to the brain. A route leading to the somatosensory cortex conveys the sensory information, including location in the body. A route to the anterior cingulate cortex conveys the emotional aspect. 204

7. Hurt feelings are like pain. They activate the cingulate cortex, as physical pain does, and acetaminophen relieves both hurt feelings and physical pain. 205

8. Opiate drugs attach to the brain’s endorphin receptors. Endorphins decrease pain by blocking activity of pain neurons. Both pleasant and unpleasant experiences release endorphins. 205

9. A harmful stimulus may give rise to a greater or lesser degree of pain depending on other current and recent stimuli. According to the gate theory of pain, other stimuli close gates in the spinal cord and block the trans- mission of pain. 205

10. Placebos decrease pain, especially the emotional aspect of pain. They do so by top-down control from the pre- frontal cortex. 207

11. Chronic pain bombards pain synapses with repetitive input, and increases their responsiveness to later stimuli through a process like learning. Morphine is most effec- tive as a painkiller if it is used promptly. Allowing the nervous system to be bombarded with prolonged pain messages increases the later sensitivity to pain. 207

12. Itch is relayed to the brain by spinal cord pathways sepa- rate from pain and touch. The axons for itch transmit impulses more slowly than other sensations. They can be inhibited by pain messages. 208

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

capsaicin 201 dermatome 202 endorphins 205 gate theory 205

opioid mechanisms 205 Pacinian corpuscle 200 periaqueductal gray area 205 placebo 207

semicircular canals 199 somatosensory system 199

Module 6.2 End of Module Quiz

1. The vestibular system is responsible for which of these observations about behavior? A. Foods have stronger taste while they are hot than

while the same foods are cold. B. You can localize sounds well in the air, but poorly

when you are under water.

C. You can describe the positions of your hands and feet without looking at them.

D. You can read a page better while shaking your head than while shaking the page.

How could you determine whether hypnosis releases endorphins?

Thought Question

08202_ch06_ptg01.indd 209 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

210 CHAPTER 6 Other Sensory Systems

2. Under which of these circumstances would the semicircular canals respond most vigorously? A. When you are lying in an unusual, uncomfortable

position B. When you are moving at a slow, steady speed

C. When you are moving at a rapid, steady speed D. When you are moving and changing speed

3. To what extent does the nervous system maintain separate representations of touch, heat, pain, and other aspects of somatic sensation? A. Not at all. A single kind of receptor responds to all

kinds of somatic sensation. B. The receptors vary, but all kinds of sensation merge

in the spinal cord.

C. The spinal cord maintains separate representations, but the various types merge in the cerebral cortex.

D. Different types of sensation remain separate even in the cerebral cortex.

4. In which of these ways do coldness receptors differ from heat receptors? A. Coldness receptors respond to a change in tempera-

ture, not to the absolute temperature. B. The response of a coldness receptor grows stronger

and stronger until you find a warmer place.

C. Coldness receptors also respond to certain chemicals, whereas heat receptors do not.

D. Coldness receptors respond only to life-threatening levels of cold.

5. What does the anterior cingulate cortex contribute to both the sense of touch and the sense of pain? A. It responds to an increase or decrease of the sensa-

tion, not the absolute level. B. It responds to the emotional aspect of the sensation.

C. It stores a memory of the sensation. D. It compares touch or pain to visual and auditory

sensations.

6. Suppose you suffer a cut through the spinal cord on the left side only. For the part of the body below that cut, you will lose pain sensation on the right side of the body and touch sensation on the left side. Why? A. The left side of the body is more sensitive to pain

than the right side is. B. The right side of the body is more sensitive to pain

than the left side is.

C. Pain axons cross the spinal cord at once, but touch fibers do not.

D. Pain axons regrow after injury, but touch axons do not.

7. Certain drugs that relieve pain also relieve which of the following? A. Itch B. Attention deficit disorder

C. Hurt feelings D. Narcolepsy

8. In what way does pain relief by cannabinoids differ from pain relief by opiates? A. Cannabinoids act on the periphery, not the brain. B. Cannabinoids produce no unwanted side effects.

C. The benefits of cannabinoids are mostly placebo effects.

D. Cannabinoids act mainly by effects on the medulla.

9. Do placebos relieve pain just by relaxation? And what is the evidence? A. Yes. People who are already relaxed gain no benefits

from placebos. B. Yes. Placebos are effective only for people who are

high in neuroticism.

C. No. A placebo can relieve pain in one body part with- out affecting another.

D. No. People who take a placebo become even more nervous than before.

10. Why do many people suffer chronic pain long after an injury has healed? A. The brain has learned to increase its pain perception. B. The skin exhausts its supply of histamine.

C. They took morphine too soon after a surgical operation.

D. The blood flow to the injured area did not increase.

11. Which type of sensation inhibits itch sensations? A. Olfaction B. Taste

C. Pain D. Hearing

Answers: 1D, 2D, 3D, 4A, 5B, 6C, 7C, 8A, 9C, 10A, 11C.

210 CHAPTER 6 Other Sensory Systems

08202_ch06_ptg01.indd 210 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 211

The Chemical Senses

Suppose you had the godlike power to create a new species of animal, but you could equip it with only one sensory system. Which sense would you give it?

Your first impulse might be to choose vision or hearing because of their importance to humans. But an animal with only one sensory system is not going to be much like humans, is it? And if you had only vision, and never tasted anything or felt pain or touch, would you have any idea what those visual stimuli meant? To have any chance of survival, your animal will have to be small, slow, and maybe even one-celled. What sense will be most useful to such an animal?

Theorists believe that the first sensory system of the earli- est animals was a chemical sensitivity (Parker, 1922). A chemi- cal sense enables a small animal to find food, avoid certain kinds of danger, and even locate mates.

Now imagine that you have to choose one of your senses to lose. Which one will it be? Most of us would not choose to lose vision, hearing, or touch. Losing pain sensitivity can be dangerous. You might choose to sacrifice your smell or taste.

Curious, isn’t it? If an animal is going to survive with only one sense, it almost has to be a chemical sense, and yet to humans, with many other well-developed senses, the chemical senses seem dispensable. Perhaps we underestimate their importance.

Taste Vision, hearing, and touch provide information useful for many purposes, but taste is useful for just one function, telling us whether to swallow something or spit it out. That function is more important for some species than for others. Dolphins have almost no taste receptors (Jiang et al., 2012). Because they eat only fish, and swallow them whole, they have little need for the sense of taste. Cats, hyenas, seals, and sea lions have no sweetness receptors (Jiang et al., 2012). Being carnivores (meat eaters), they never choose their food by sweetness. If you see a cat lapping up milk, it is going for the proteins or fats, not the sweetness.

Taste results from stimulation of the taste buds, the re- ceptors on the tongue. When we talk about the taste of food, we generally mean flavor, which is a combination of taste and smell. Whereas other senses remain separate throughout the cortex, taste and smell axons converge onto many of the same

cells in an area called the endopiriform cortex (Fu, Sugai, Yo- shimura, & Onoda, 2004). That convergence enables taste and smell to combine their influences on food selection.

Taste Receptors The receptors for taste are not true neurons but modified skin cells. Like neurons, taste receptors have excitable membranes and release neurotransmitters to excite neighboring neurons, which in turn transmit information to the brain. Like skin cells, however, taste receptors are gradually sloughed off and replaced, each one lasting about 10 to 14 days (Kinnamon, 1987).

Mammalian taste receptors are in taste buds located in papillae on the surface of the tongue (see Figure 6.19). A given papilla may contain up to 10 or more taste buds (Arvidson & Friberg, 1980), and each taste bud contains about 50 receptor cells.

In adult humans, taste buds lie mainly along the edge of the tongue. You can demonstrate this principle as follows: Soak a small cotton swab in sugar water, salt water, or vinegar. Then touch it lightly on the center of your tongue, not too far toward the back. If you get the posi- tion right, you will experience little or no taste. Then try it again on the edge of your tongue and notice the taste.

Now change the procedure a bit. Wash your mouth out with water and prepare a cotton swab as before. Touch the soaked portion to one edge of your tongue and then slowly stroke it to the center of your tongue. It will seem as if you are moving the taste to the center of your tongue. In fact, you are getting only a touch sensation from the center of your tongue. You attribute the taste you had on the side of your tongue to every other spot you stroke (Bartoshuk, 1991).

How Many Kinds of Taste Receptors? Traditionally, people in Western society have described tastes in terms of sweet, sour, salty, and bitter. However, some tastes defy categorization in terms of these four labels (Schiffman & Erickson, 1980; Schiffman, McElroy, & Erickson, 1980). How could we determine how many kinds of taste we have?

One way to identify taste receptor types is to find pro- cedures that alter one receptor but not others. For example,

Module 6.3

TRY IT YOURSELF

211

08202_ch06_ptg01.indd 211 9/14/17 9:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

212 CHAPTER 6 Other Sensory Systems

so bad? Most toothpastes contain sodium lauryl sulfate, a chemical that intensifies bitter tastes and weakens sweet ones, apparently by coating the sweet receptors and preventing any- thing from reaching them (DeSimone, Heck, & Bartoshuk, 1980; Schiffman, 1983).

Another taste-modifying substance is an extract from the plant Gymnema sylvestre (Frank, Mize, Kennedy, de los Santos, & Green, 1992). Some health food and herbal remedy stores sell dried leaves of Gymnema sylvestre, from which you can brew a tea. (Gymnema sylvestre pills won’t work for this demonstration.) Soak your tongue in the tea for about 30 seconds and then try tasting various substances. Salty, sour, and bitter substances taste the same as usual, but sugar becomes tasteless. Candies taste sour, bitter, or salty. (Those tastes were already present, but you barely noticed them

chewing a miracle berry (native to West Africa) gives little taste itself but temporarily changes sweet receptors. Miracle berries contain a protein—miraculin—that modifies sweet receptors, enabling acids to stimulate them (Bartoshuk, Gentile, Moskowitz, & Meiselman, 1974). If you try miracle berry extracts (available via the Internet), anything acidic will taste sweet in addition to its usual sour taste for the next half hour. Some people use these extracts as diet aids, so they can get sweet tastes without the calories.

But don’t overdo it. A colleague and I once spent an eve- ning experimenting with miracle berries. We drank straight lemon juice, sauerkraut juice, even vinegar. All tasted ex- tremely sweet, but we awoke the next day with mouths full of ulcers. Those things are still acids, even when they taste sweet.

Have you ever drunk orange juice just after brushing your teeth? How could something so wonderful suddenly taste

TRY IT YOURSELF

(b)

Taste buds

Vallate (or circumvallate) papilla

Taste bud close-up

Foliate papilla

Fungiform papilla

(a)

Figure 6.19 The organs of taste (a) The tip, back, and sides of the tongue are covered with taste buds. Taste buds are located in papillae. (©Argosy Publishing Inc.) (b) Photo show- ing cross section of a taste bud. Each taste bud contains about 50 receptor cells. (Cultura Science/ Alvin Telser, PhD/Oxford Scientific/Getty Images)

08202_ch06_ptg01.indd 212 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 213

steady (Di Lorenzo, Chen, & Victor, 2009). Do these patterns actually code taste experiences? Yes. Researchers stimulated rats’ brain cells responsive to taste with an electrical pattern matching that for quinine. The rats backed away from what- ever they were drinking at the time, reacting as if they were tasting something bitter (Di Lorenzo, Leshchinsky, Moroney, & Ozdoba, 2009). Electrical stimulation at other temporal pat- terns did not cause this reaction.

Jalapeños and other hot peppers produce a hot mouth sen- sation that is not considered a taste. The evolution of hot peppers is an interesting story. Most plants produce chemicals that dis- courage animals from eating them. The capsaicin in hot peppers discourages mammals, but not birds, because birds’ heat receptor does not respond to capsaicin. A bird that eats a jalapeño eventu- ally excretes its seeds, undigested, along with the other compo- nents of bird poop that serve as fertilizer. That is, birds spread the seeds and nourish their growth. Mammals, in contrast, chew any seeds that they eat, rendering them inactive. In short, jalapeños and similar plants gain an advantage by discouraging mammals but permitting birds to eat them.

Mechanisms of Taste Receptors The saltiness receptor is simple. Recall that a neuron produces an action potential when sodium ions cross its membrane. A saltiness receptor, which detects the presence of sodium, sim- ply permits sodium ions on the tongue to cross its membrane. Chemicals that prevent sodium from crossing the membrane weaken salty tastes (DeSimone, Heck, Mierson, & DeSimone, 1984; Schiffman, Lockhead, & Maes, 1983). Sour receptors detect the presence of acids (Huang et al., 2006).

because of the sweetness.) Curiously, the artificial sweetener aspartame (NutraSweet®) loses only some, not all, of its sweet- ness, implying that it stimulates an additional receptor besides the sugar receptor (Schroeder & Flannery-Schroeder, 2005). Note: This demonstration is probably risky for anyone with diabetes, because Gymnema sylvestre also alters sugar absorp- tion in the intestines. Also note: One side effect of this demon- stration is greenish bowel movements for the next few days. Don’t panic if you notice that little souvenir of your experience. The overall point of these demonstrations is that we do have receptors that are sensitive to one taste or another.

Further evidence for separate types of taste receptors comes from studies of the following type: Soak your tongue for 15 seconds in a sour solution, such as unsweetened lemon juice. Then try tasting some other sour solution, such as di- lute vinegar. You will find that the second solution tastes less sour than usual, and perhaps not sour at all. This phenomenon, called adaptation, reflects the fatigue of receptors sensitive to sour tastes. Now try tasting something salty, sweet, or bit- ter. These substances taste about the same as usual. In short, you fail to show cross-adaptation—reduced response to one taste after exposure to another (McBurney & Bartoshuk, 1973). Evidently, the sour receptors are different from the other taste receptors. Similarly, you can show that salt receptors are different from the others and so forth.

Although we have long known that people have at least four kinds of taste receptors, several types of evidence suggest a fifth, glutamate, as in monosodium glutamate (MSG). The tongue has a glutamate receptor that resembles the receptors for glu- tamate as a neurotransmitter (Chaudhari, Landin, & Roper, 2000). Recall the idea that evolution is “thrifty”: After something evolves for one purpose, it can be modified for other purposes. Glutamate tastes somewhat like unsalted chicken broth. The English language had no word for this taste, so English-speaking researchers adopted the Japanese word umami.

Perhaps we have a sixth type of taste also, the taste of fats. When people taste long-chain fatty acids, they say the taste is not sweet, sour, salty, nor bitter, and only slightly resembles umami. Researchers did their best to make sure people were responding to a taste experience, and not just a texture. They suggested the term oleogustus for the taste of fats (Running, Craig, & Mattes, 2015). We shall see whether that term becomes popular.

In addition to the fact that different chemicals excite dif- ferent receptors, they produce different rhythms of action potentials. For other senses we assume—rightly or wrongly— that what matters is the number of action potentials per unit of time. In taste, the temporal pattern is also important, per- haps more important. Figure 6.20 shows the responses of a brain neuron to five-second presentations of sucrose (sweet), NaCl (salty), HCl (sour), and quinine (bitter). This neuron responded to all four, but with different patterns over time. For example, its response to NaCl faded rapidly, whereas the response to sucrose took longer to start and then remained

TRY IT YOURSELF

Figure 6.20 Responses of a cell in a rat brain to four tastes Each taste was presented for 5 seconds, marked by the Stimulus line at the bottom. Responses persisted until the tongue was washed with water, at the point marked by the arrow. The four lines represent S = sucrose (sweet); N = NaCl, table salt (salty); H = HCl, hydrochloric acid (sour); and Q = quinine (bitter). (Source: From “Quality time: Representation of a multidimensional sensory domain through temporal coding,” by P. M. Di Lorenzo, J.-Y. Chen, & J. D. Victor, 2009, Journal of Neuroscience, 29, pp. 9227–9238.)

TRY IT YOURSELF

08202_ch06_ptg01.indd 213 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

214 CHAPTER 6 Other Sensory Systems

about 40 percent that you would experience taste “phantoms,” analogous to the phantom limb experience discussed in Chap- ter 4 (Yanagisawa, Bartoshuk, Catalanotto, Karrer, & Kveton, 1998). That is, you might experience taste even when nothing was on your tongue. Evidently, the inputs from the anterior and posterior parts of your tongue interact in complex ways.

The taste nerves project to the nucleus of the tractus solitarius (NTS), a structure in the medulla (Travers, Pfaffmann, & Norgren, 1986). From the NTS, information branches out, reaching the pons, the lateral hypothalamus, the amygdala, the ventral-posterior thalamus, and two areas of the cerebral cortex (Pritchard, Hamilton, Morse, & Norgren, 1986; Yamamoto, 1984). One of these areas, the somatosensory cortex, responds to the touch aspects of tongue stimulation. The other area, known as the insula, is the primary taste cortex. The insula in each hemisphere of the cortex receives input from both sides of the tongue (Stevenson, Miller, & McGrillen, 2013). A few of the major connections are illustrated in Figure 6.21. Certain areas of the insula are dominated by cells responding mainly to sweet tastes, whereas other areas are dominated by cells responding to bitter (Peng et al., 2015).

Variations in Taste Sensitivity It is easy to assume that foods taste the same to someone else as they do to you. And if we ask people to describe how strong various foods taste, they agree on which foods have bland, strong, or very strong flavors. However, when you rate some food as tasting “very strong,” you mean that it is strong compared to your other taste experiences, which might be stronger or weaker than someone else’s. In fact, some people have three times as many taste buds as other people do on the fungiform papillae near the tip of the tongue (Hayes, Bartoshuk, Kidd, & Duffy, 2008). (See Figure 6.22.) That anatomical difference depends partly on genetics but also on age, hormones, and other influences. Women’s taste sensitivity varies with their hormones and reaches its maxi- mum during early pregnancy, when estradiol levels are high (Prutkin et al., 2000). That tendency is probably adaptive: During pregnancy, a woman needs to be more careful than usual to avoid harmful foods.

People with more taste buds, known as supertasters, tend to dislike strongly flavored foods, especially foods that taste very bitter to them, but only mildly bitter to other people. People at the opposite end, having the fewest taste buds, tolerate many somewhat bitter foods. A demonstra- tion sometimes used in biology laboratory classes is to taste phenylthiocarbamide (PTC) or 6-n-propylthiouracil (PROP). Most people taste low concentrations as bitter, but people with the fewest taste buds—misleadingly known as nontasters—taste it only at high concentrations. One gene controls most of the variance, although other genes contrib- ute as well (Kim et al., 2003).

Researchers have collected extensive data about the percentage of nontasters in different populations, as shown in Figure 6.23 (Guo & Reed, 2001). The figure shows no obvious

Sweetness, bitterness, and umami receptors resemble the metabotropic synapses discussed in Chapter 2. After a molecule binds to one of these receptors, it activates a G protein that releases a second messenger within the cell. People have two types of sweetness receptors and two types of umami receptors, each with somewhat different sensitivi- ties (Barretto et al., 2015).

Bitter taste used to be a puzzle because bitter substances include a long list of dissimilar chemicals. Their only common factor is that they are to some degree toxic. What receptor could identify such a diverse set of chemicals? The answer is that we have not one bitter receptor but a family of 30 or more (Barretto et al., 2015; Matsunami, Montmayeur, & Buck, 2000). Each responds to a few related compounds (Born, Levit, Niv, Meyerhof, & Belvens, 2013).

One consequence of having so many bitter receptors is that we detect a great variety of dangerous chemicals. The other is that because each type of bitter receptor is present in small numbers, we don’t detect very low concentrations of bitter substances.

Many bitter chemicals also trigger receptors in the nose, provoking coughing and sneezing if you happen to inhale them (Tizzano et al., 2010). That is, bitter chemicals are toxic, and the body does anything it can to expel them.

ANSWERS

25. You could test for cross-adaptation. If the new taste cross-adapts with others, then it uses the same receptors. If it does not cross-adapt, it may have a receptor of its own. Another possibility would be to find some procedure that blocks this taste without blocking other tastes. 26. The chemical would block your experiences of sweet, bitter, and umami but should not prevent you from tasting salty and sour.

STOP & CHECK 25. Suppose you find a new, unusual-tasting food. How could

you determine whether we have a special receptor for that food or whether we taste it with a combination of the other known taste receptors?

26. If someone injected into your tongue a chemical that blocks the release of second messengers, how would it affect your taste experiences?

Taste Coding in the Brain Information from the receptors in the anterior two-thirds of the tongue travels to the brain along the chorda tympani, a branch of the seventh cranial nerve (the facial nerve). Taste information from the posterior tongue and the throat travels along branches of the ninth and tenth cranial nerves. What do you suppose would happen if someone anesthetized your chorda tympani? You would no longer taste anything in the anterior part of your tongue, but you probably would not notice, because you would still taste with the posterior part. However, the probability is

08202_ch06_ptg01.indd 214 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 215

supertaster, taster, or nontaster based on just your food preferences. Culture and fa- miliarity exert large effects on people’s food preferences, in addition to the role of the taste buds.

If you would like to classify yourself as a taster, nontaster, or supertaster, follow the instructions in Table 6.2.

relationship between tasting PTC and cuisine. For example, nontasters are common in India, where the food is spicy, and also in Britain, where it is relatively bland.

Although most supertasters avoid strong-tasting or spicy foods, you cannot confidently identify yourself as

From taste buds on tongue

Nucleus of tractus solitarius

Somatosensory cortex

Corpus callosum

Ventral posteromedial thalamus

Hypothalamus

Orbital prefrontal cortex

Amygdala

Insula (primary taste cortex)

Figure 6.21 Major routes of impulses related to taste in the human brain The thalamus and cerebral cortex receive impulses from both the left and the right sides of the tongue. (Source: Based on Rolls, 1995)

TRY IT YOURSELF

Supertaster

Nontaster

Figure 6.22 Fungiform papillae on the human tongue People with a greater density of papillae (top) are supertasters, with strong reactions to intense tastes. People with fewer papillae are tasters or non- tasters (bottom). (Source: Linda Bartoshuk)

Equipment: ¼-inch hole punch, small piece of wax paper, cotton swab, blue food coloring, flashlight, and magnifying glass Make a ¼-inch hole with a standard hole punch in a piece of wax paper. Dip the cotton swab in blue food coloring. Place the wax paper on the tip of your tongue, just right of the center. Rub the cotton swab over the hole in the wax paper to dye a small part of your tongue. With the flashlight and magnifying glass, have someone count the number of pink, unstained circles in the blue area. They are your fungiform papillae. Compare your results to the following averages:

Supertasters: 25 papillae

Tasters: 17 papillae

Nontasters: 10 papillae

Table 6.2 Are You a Supertaster, Taster, or Nontaster?

08202_ch06_ptg01.indd 215 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

216 CHAPTER 6 Other Sensory Systems

Olfaction Olfaction, the sense of smell, is the response to chemi- cals that contact the membranes inside the nose. For most mammals, olfaction is critical for finding food and mates and for avoiding dangers. For example, rats and mice show an immediate, unlearned avoidance of the smells of cats, foxes, and other predators. Those smells also cause them to release stress hormones (Kondoh et al., 2016). Mice that lack the relevant olfactory receptors fail to avoid, as illus- trated in Figure 6.24 (Kobayakawa et al., 2007). People with certain diseases have a characteristic, unpleasant odor, and people who avoid that odor decrease the risk of contagion (Olsson et al., 2014).

Consider also the star-nosed mole and water shrew, two species that forage along the bottom of ponds and streams for worms, shellfish, and other invertebrates. We might assume that olfaction would be useless under water. However, these animals exhale tiny air bubbles onto the ground and then inhale them again. By doing so, they can

India 34%

Egypt 17%

Japan 11%

China 15%

England 30%

Mexico 10%

Nigeria 13%

United States: European American 28% African American 21% Native American 18%

Turkey 14%

Figure 6.23 Percentage of nontasters in several human populations Most of the percentages are based on large samples, including more than 31,000 in Japan and 35,000 in India. (Source: Based on Guo & Reed, 2001)

Li nd

a Ba

rto sh

uk

Figure 6.24 The result of losing one type of olfactory receptor Normal mice innately avoid the smell of cats, foxes, and other predators. This cat had just finished a large meal. (Source: Kobayakawa et al., 2007)

Ph ot

o by

K o

& R

ei ko

K ob

ay ak

aw a

follow an underwater trail well enough to track their prey (Catania, 2006).

We marvel at feats like this and at the ability of a blood- hound to find someone by following an olfactory trail through a forest. We assume that we could never do anything like that. Of course we cannot follow an olfactory trail while stand- ing upright, with our noses far above the ground! But what if you got down on your hands and knees and put your nose to

ANSWER

27. They have more taste buds.

STOP & CHECK 27. Why are supertasters more sensitive to tastes than other

people are?

08202_ch06_ptg01.indd 216 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 217

So our olfaction is better than we might guess, if we give it a fair chance (even though bloodhounds are still much better).

Olfaction is especially important for our food selection. Much of the flavor of a food is really based on its odor. Try holding your nose while you eat, and notice how much flavor you lose.

Olfaction also plays an important role in social behav- ior. You may have heard the expression “smell of fear,” and research supports that idea. Experimenters collected sweat from young men’s armpits while the men watched videos that evoked fear, disgust, or no emotion. Later the researchers re- corded facial expressions by young women who sniffed the samples. Women smelling the fear samples showed a mild fear expression and those who smelled the disgust samples looked disgusted. Those smelling the neutral samples showed little or no expression (de Groot, Smeets, Kaldewaij, Duijndam, & Semin, 2012). Evidently smells give us a clue to how someone else is feeling.

If you were exposed to the smells of other people (with no other information about them), and you rated their desir- ability as a potential romantic partner, you would probably prefer people who smell a little different from yourself and your family members (Havlicek & Roberts, 2009). Avoiding a mate who smells like your brother or sister reduces the chance of inbreeding. It also increases the probability that your children will have a good variety of immunities, because chemicals from the immune system contribute to body odors. Curiously, when women start taking contraceptive pills, their preference for a different-smelling mate decreases (Roberts, Gosling, Carter, & Petrie, 2008). One speculation is that the risk of inbreeding is unimportant for women who cannot become pregnant at that moment.

Olfactory Receptors Researchers estimate that people can distinguish among more than a trillion olfactory stimuli. Yes, “estimate.” Don’t imagine some participant facing a trillion vials of odorous chemicals. On each trial, the researchers offered two vials that were the same and one that was different, and the task was to pick the one that was different. The two identical vials might have a mixture of 30 chemicals, whereas the different one had 20 of those same chemicals plus 10 other ones. From people’s ability to pick out the different vial, the researchers calculated that more than a trillion distinctions are possible (Bushdid, Mag- nasco, Vosshall, & Keller, 2014).

The neurons responsible for smell are the olfactory cells that line the olfactory epithelium in the rear of the nasal air passages (see Figure 6.26). In mammals, each olfactory cell has cilia (threadlike dendrites) that extend from the cell body into the mucous surface of the nasal passage. Olfactory receptors are located on the cilia.

How many kinds of olfactory receptors do we have? Researchers answered the analogous question for color vision in the 1800s but took much longer for olfaction. Linda Buck and Richard Axel (1991) identified a family of

the ground? Researchers blindfolded 32 young adults, made them wear gloves, and then asked them to try to follow a scent trail across a field. The scent was chocolate oil. (They decided to use something that people care about.) Most of the par- ticipants succeeded and improved their performance with practice. Figure 6.25 shows one example (Porter et al., 2007).

A water shrew

Figure 6.25 A person following a scent trail Most people successfully followed a trail with only their nose to guide them. (Source: Reprinted by permission from Macmillan Publishers Ltd. From: Nature Neuroscience, 10, 27–29, Mechanisms of scent-tracking in humans; J. Porter et. al, 2007.)

Te rry

W hi

tta ke

r/ Al

am y

St oc

k Ph

ot o

08202_ch06_ptg01.indd 217 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

218 CHAPTER 6 Other Sensory Systems

proteins in olfactory receptors, as shown in Figure 6.27. Like metabotropic neurotransmitter receptors, each of these proteins traverses the cell membrane seven times and responds to a chemical outside the cell (here an odor- ant molecule instead of a neurotransmitter) by triggering changes in a G protein inside the cell. The G protein then provokes chemical activities that lead to an action poten- tial. The best estimate is that humans have several hundred olfactory receptor proteins, whereas rats and mice have about a thousand types (Zhang & Firestein, 2002). Cor- respondingly, rats can distinguish among odors that seem the same to humans (Rubin & Katz, 2001). Each olfactory neuron has only one of the possible olfactory receptor proteins (Hanchate et al., 2015).

Olfactory bulb

Olfactory bulb

Olfactory nerve axons

Olfactory epithelium

Olfactory receptor cell

Supporting cell

Olfactory cilia (dendrites)

Olfactory nerve

(a)

(b)

Figure 6.26 Olfactory receptors (a) Location of receptors in nasal cavity. (b) Close-up of olfactory cells.

ANSWER

28. Like metabotropic neurotransmitter receptors, an olfactory receptor acts through a G protein that triggers further events within the cell.

STOP & CHECK 28. In what way do olfactory receptors resemble metabotropic

neurotransmitter receptors?

Implications for Coding We have only three kinds of cones and five kinds of taste re- ceptors, so researchers were surprised to find so many kinds of olfactory receptors. That diversity makes possible narrow

08202_ch06_ptg01.indd 218 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 219

chemicals that smell similar to us evoke activity in neighbor- ing cells (Howard, Plailly, Grueschow, Haynes, & Gottfried, 2009).

Olfactory receptors are vulnerable to damage because they are exposed to the air. Unlike your receptors for vision and hearing, which remain with you for a lifetime, an olfactory receptor has an average survival time of just over a month. At that point, a stem cell matures into a new olfactory cell in the same location as the first and expresses the same receptor protein (Nef, 1998). Its axon then has to find its way to the cor- rect target in the olfactory bulb. Each olfactory neuron axon contains copies of its olfactory receptor protein, which it uses like an identification card to find its correct partner (Barnea et al., 2004; Strotmann, Levai, Fleischer, Schwarzenbacher, & Breer, 2004). However, if the entire olfactory surface is dam- aged at once by a blast of toxic fumes so that the system has to replace all the receptors at the same time, many of them fail to make the correct connections, and olfactory experience does not fully recover (Iwema, Fang, Kurtz, Youngentob, & Schwob, 2004).

Individual Differences People vary in their sense of smell more than you might guess. Most of the genes controlling olfactory receptors have variant forms, and on average, two people chosen at random probably differ in about 30 percent of their olfactory receptor genes (Mainland et al., 2014). Compared to anyone else you know, you probably experience some smells as stronger, some as weaker, some as more pleasant, and some as less pleasant.

In addition to individual differences based on genes, odor sensitivity declines with age. The decline varies among odors. For example, sensitivity to mushroom odor apparently

specialization of functions. To illustrate, because we have only three kinds of cones, each cone contributes to every color perception. Each olfactory receptor responds to only a few stimuli. The response of one receptor might mean, “a fatty acid with a straight chain of three to five carbon atoms.” The response of another might mean, “either a fatty acid or an al- dehyde with a straight chain of five to seven carbon atoms” (Araneda, Kini, & Firestein, 2000; Imamura, Mataga, & Mori, 1992; Mori, Mataga, & Imamura, 1992). The combined activ- ity of those two receptors identifies a chemical precisely.

The question may have occurred to you, “Why did evolu- tion go to the bother of designing so many olfactory receptor types? After all, color vision gets by with just three types of cones.” The main reason is that light energy can be arranged along a single dimension, wavelength. Olfaction processes air- borne chemicals that do not range along a single continuum.

Messages to the Brain When an olfactory receptor is stimulated, its axon carries an impulse to the olfactory bulb (see Figure 3.12). Although the receptors sensitive to a particular chemical are scattered hap- hazardly in the nose, their axons find their way to the same target cells in the olfactory bulb, such that chemicals of simi- lar smell excite neighboring areas, and chemicals of different smell excite more separated areas (Horowitz, Saraiva, Kuang, Yoon, & Buck, 2014).

The olfactory bulb sends axons to the olfactory area of the cerebral cortex. A complex substance such as a food acti- vates a scattered population of cells (Lin, Shea, & Katz, 2006; Rennaker, Chen, Ruyle, Sloan, & Wilson, 2007). Many cells respond strongly to a particular kind of food, such as berries or melons (Yoshida & Mori, 2007). As in the olfactory bulb,

Outside the cell

Inside the cell

Figure 6.27 One of the olfactory receptor proteins This protein resembles the synaptic receptor protein in Figure 2.16. It responds to a chemical outside the cell and triggers activity of a G protein inside the cell. Different olfac- tory receptors differ slightly in their structure. Each little circle in this diagram represents one amino acid of the protein. The light green circles represent amino acids that are the same in most of the olfactory receptor proteins. The dark green circles represent amino acids that vary. (Source: Based on Buck & Axel, 1991)

08202_ch06_ptg01.indd 219 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

220 CHAPTER 6 Other Sensory Systems

The behavioral effects of pheromones apparently occur unconsciously. That is, people react to certain chemicals in human skin even when they describe them as odorless. The smell of a sweaty woman increases a man’s testosterone secre- tions, especially if the woman was near her time of ovulation (Miller & Maner, 2010). This effect is stronger for heterosex- ual men than for homosexual men (Savic, Berglund, & Lind- ström, 2005). The smell of a sweaty man does not increase sexual arousal in women. Instead, it increases release of cor- tisol, a stress hormone (Wyart et al., 2007). Evidently a man reacts to a sweaty woman as a sex signal, and a woman reacts to a sweaty man as a potential danger signal.

The best-documented effect of a human pheromone re- lates to the timing of women’s menstrual cycles. According to several (but not all) reports, women who spend much time to- gether find that their menstrual cycles become more synchro- nized, unless they are taking birth control pills (McClintock, 1971; Weller, Weller, Koresh-Kamin, & Ben-Shoshan, 1999; Weller, Weller, & Roizman, 1999). To test whether phero- mones are responsible for the synchronization, researchers exposed young volunteer women to the underarm secretions of a donor woman. In two studies, most of the women exposed to the secretions became synchronized to the donor’s men- strual cycle (Preti, Cutler, Garcia, Huggins, & Lawley, 1986; Russell, Switz, & Thompson, 1980).

Another study dealt with the phenomenon that a woman in an intimate relationship with a man tends to have more regular menstrual periods than women not in an intimate relationship. According to one hypothesis, the man’s pheromones promote this regularity. In the study, young women who were not sexu- ally active were exposed daily to a man’s underarm secretions. (Getting women to volunteer for this study wasn’t easy.) Gradually, over 14 weeks, most of these women’s menstrual periods became more regular than before (Cutler et al., 1986). In short, human body secretions probably do act as pheromones, although the effects are more subtle than in most other mammals.

remains constant as people age, sensitivity to onion odor de- clines moderately, and sensitivity to rose odor declines greatly (Seow, Ong, & Huang, 2016). A sharp decline in odor sensitiv- ity is often an early symptom of Alzheimer’s disease or Parkin- son’s disease (Doty & Kamath, 2014).

Women detect odors more readily than men, at all ages and in all cultures that researchers have tested (Doty, Apple- baum, Zusho, & Settle, 1985; Saxton et al., 2014; Yousem et al., 1999). In addition, young adult women gradually become more and more sensitive to a faint odor they repeatedly attend to, until they can detect it in concentrations one ten-thousandth of what they could at the start (Dalton, Doolittle, & Breslin, 2002). Men, girls before puberty, and women after menopause do not show that effect, so it apparently depends on female hormones. We can only speculate on why we evolved a con- nection between female hormones and odor sensitization.

ANSWERS

29. Most olfactory receptors survive a little more than a month before dying and being replaced. 30. People differ in olfactory sensitivity because of genetics, age, and gender.

STOP & CHECK 29. What is the mean life span of an olfactory receptor? 30. What factors contribute to individual differences in olfactory

sensitivity?

Pheromones An additional sense is important for most mammals, although less so for humans. The vomeronasal organ (VNO) is a set of receptors located near, but separate from, the olfactory receptors. Unlike olfactory receptors, the VNO receptors re- spond only to pheromones, chemicals released by an animal that affect the behavior of other members of the same species. For example, if you have ever had a female dog that wasn’t neutered, whenever she was in her fertile (estrus) period, even though you kept her indoors, your yard attracted every male dog in the neighborhood that was free to roam.

Each VNO receptor responds to just one pheromone, in concentrations as low as one part in a hundred billion (Leinders-Zufall et al., 2000). Furthermore, the receptor does not adapt to a repeated stimulus. Have you ever been in a room that seems smelly at first but not a few minutes later? Your ol- factory receptors respond to a new odor but not to a continu- ing one. VNO receptors, however, continue responding even after prolonged stimulation (Holy, Dulac, & Meister, 2000).

In adult humans, the VNO is tiny and has no recep- tors (Keverne, 1999; Monti-Bloch, Jennings-White, Dolberg, & Berliner, 1994). It is vestigial—that is, a leftover from our evolutionary past. Nevertheless, part of the human olfactory mucosa contains receptors that resemble other species’ pher- omone receptors (Liberles & Buck, 2006; Rodriguez, Greer, Mok, & Mombaerts, 2000).

ANSWER

31. Olfactory receptors adapt quickly to a continu- ous odor, whereas receptors of the vomeronasal organ continue to respond. Also, vomeronasal sensations are apparently capable of influencing behavior even without being consciously perceived.

STOP & CHECK 31. What is a major difference between olfactory receptors and

those of the vomeronasal organ?

Synesthesia Finally, let’s consider something that is not one sense but a combination: Synesthesia is the experience some people have in which stimulation of one sense evokes a perception of that sense and another one also. For example, someone might

08202_ch06_ptg01.indd 220 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 221

they had used as children, such as red A, yellow C, and green D (Witthoft & Winawer, 2013). Only a small percentage of chil- dren who play with these magnets develop synesthesia, and most people with synesthesia have other associations, so the toys represent only one part of the explanation.

When people misperceive a stimulus—as in an illusion—the synesthetic experience corresponds to what the person thought the stimulus was, not what it actually was (Bargary, Barnett, Mitchell, & Newell, 2009). This result implies that the phenom- enon occurs in the cerebral cortex, not in the receptors or their first connections to the nervous system. Furthermore, for some people, the idea of a word triggers a synesthetic experience be- fore they have thought of the word itself. One person who could not think of “castanets” said it was on the tip of the tongue . . . not sure what the word was, but it tasted like tuna (Simner & Ward, 2006). One man with color vision deficiency reports synesthetic colors that he does not see in real life. He calls them “Martian colors” (Ramachandran, 2003). Evidently, his brain can see all the colors, even though his cones cannot send the messages.

One hypothesis is that axons from one cortical area branch into another cortical area. This explanation does apply to at least some cases. One woman suffered damage to the somatosensory area of her right thalamus. Initially she was, as expected, insen- sitive to touch in her left arm and hand. Over a year and a half, she gradually recovered part of her touch sensation. However, during that period, the somatosensory area of her right cortex was receiving little input. Some axons from her auditory system invaded the somatosensory cortex. As a result, she developed an unusual auditory-to-touch synesthesia. Many sounds cause her to feel an intense tingling sensation in her left arm and hand (Beauchamp & Ro, 2008; Naumer & van den Bosch, 2009).

perceive the letter J as green or say that each taste feels like a particular shape on the tongue (Barnett et al., 2008). In the words of one person, “To me, the taste of beef is dark blue. The smell of almonds is pale orange. And when tenor saxophones play, the music looks like a floating, suspended coiling snake- ball of lit-up purple neon tubes” (Day, 2005, p. 11).

Various studies attest to the reality of synesthesia. People reporting synesthesia have increased amounts of gray matter in certain brain areas and altered connections to other areas (Jäncke, Beeli, Eulig, & Hänggi, 2009; Rouw & Scholte, 2007; Weiss & Fink, 2009). People who perceive colors in letters and numbers have increased connections between the brain areas responding to colors and those responding to letters and num- bers (Tomson, Narayan, Allen, & Eagleman, 2013). They also show behavioral characteristics that would be hard to pretend. Try to find the 2 among the 5s in each of the following displays:

555555555555 555555555555 555555525555 555555555555

555555555555 555555555555 555555555555 555555555525

555555555555 552555555555 555555555555 555555555555

One person with synesthesia was able to find the 2 consis- tently faster than other people, explaining that he just looked for a patch of orange! However, he was slower than other people to find an 8 among 6s because both 8 and 6 look blue to him (Blake, Palmeri, Marois, & Kim, 2005). Another person had trouble finding an A among 4s because both look red but could easily find an A among 0s because 0 looks black (Laeng, Svartdal, & Oelmann, 2004). Oddly, however, someone who sees the letter P as yellow had no trouble finding it when it was printed in black ink on a yellow page. In some way, he sees the letter both in its real color (black) and its synesthetic color (Blake et al., 2005).

What causes synesthesia? It clusters in families, suggesting a genetic predisposition (Barnett et al., 2008), and it frequently occurs in the same families as people with absolute pitch, sug- gesting that the two conditions share a genetic predisposition (Gregerson et al., 2013). However, obviously people are not born with a letter-to-color or number-to-color synesthesia. (No one is born knowing the letters of the alphabet.) In some cases, we see where people learned their associations. Researchers found 10 people with synesthesia whose associations matched or nearly matched the colors of Fisher-Price refrigerator magnets

ANSWERS

32. Some people have letter-color synesthesia that matches the colors of refrigerator magnets they played with in childhood. 33. Someone who perceives a letter as yellow (when it is actually in black ink) can nevertheless see it on a yellow page.

STOP & CHECK 32. What evidence indicates that people learn their synesthetic

associations, at least in some cases? 33. If someone reports seeing a particular letter in color, in what

way is it different from a real color?

Senses as Ways of Knowing the World

Ask the average person to describe the current environment, and you will probably get a description of what he or she sees and hears. If nonhumans could talk, most species would start by describing what they smell. A human, a dog, a bat, and a

snail may be in the same place, but the environments they perceive are very different. Our senses are adapted to pro- vide us with information useful to our way of life.

Module 6.3 In Closing

08202_ch06_ptg01.indd 221 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

222 CHAPTER 6 Other Sensory Systems

We sometimes underestimate the importance of taste and smell. People who lose their sense of taste say they no longer enjoy eating and find it difficult to swallow (Cowart, 2005). Many peo- ple who lose the sense of smell feel permanently depressed. Taste

and smell cannot compete with vision and hearing for telling us about what is happening in the distance, but they are essential for telling us about what is right next to us or about to enter our bod- ies. They are also important for our enjoyment of life.

Summary 1. Taste receptors are modified skin cells inside taste buds

in papillae on the tongue. 211 2. We have receptors sensitive to the tastes of sweet, sour,

salty, bitter, umami (glutamate), and possibly fat. Taste is coded by the relative activity of different kinds of cells but also by the rhythm of responses within a given cell. 211

3. Salty receptors respond simply to sodium ions crossing the membrane. Sour receptors detect the presence of acids. Sweet, bitter, and umami receptors act by a second mes- senger within the cell, similar to the way a metabotropic neurotransmitter receptor operates. 213

4. Mammals have 30 or more kinds of bitter receptors, enabling them to detect many types of harmful substances. 214

5. Part of the seventh cranial nerve conveys information from the anterior two-thirds of the tongue. Parts of the ninth and tenth cranial nerves convey information from the posterior tongue and the throat. The two nerves interact in complex ways. 214

6. People vary in their sensitivity to tastes, especially bitter tastes, because of variations in their number of taste buds. 214

7. Olfactory receptors are proteins, each of them highly responsive to a few related chemicals and unresponsive

to others. Vertebrates have hundreds of olfactory recep- tors, each contributing to the detection of a few related odors. 217

8. Olfactory neurons in the cerebral cortex respond to complex patterns, such as those of a food. 219

9. Olfactory neurons survive only a month or so. The new cells that replace them become sensitive to the same chemicals as the ones they replace, and they send their axons to the same targets. 219

10. People vary in their sensitivity to odors, because of dif- ferences in genetics, age, and gender. 219

11. In most mammals, each vomeronasal organ (VNO) receptor is sensitive to only one chemical, a pheromone. A pheromone is a social signal. Humans also respond somewhat to pheromones, although our receptors are in the olfactory mucosa, not the VNO. 220

12. Some people experience synesthesia, a sensation in one modality after stimulation in another one. For example, someone might see purple neon tubes while listening to saxophones. In some cases, the explanation is that axons from one sense have invaded brain areas responsible for a different sense. 220

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

adaptation 213 cross-adaptation 213 nucleus of the tractus solitarius

(NTS) 214

olfaction 215 olfactory cells 217 papillae 211 pheromones 220

supertasters 214 synesthesia 220 taste bud 211 vomeronasal organ (VNO) 220

Module 6.3 End of Module Quiz

1. What type of cell is a taste receptor? A. A modified neuron B. A modified skin cell

C. A modified gland cell D. A modified muscle cell

Suppose a chemist synthesizes a new chemical that turns out to have an odor. Presumably, we do not have a specialized receptor for that chemical. Explain how our receptors detect it.

Thought Question

222 CHAPTER 6 Other Sensory Systems

08202_ch06_ptg01.indd 222 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

6.3 The Chemical Senses 223

2. Which of these observations provides evidence that we have several types of taste receptor? A. Certain chemicals can modify one taste without

affecting others. B. People from different cultures tend to have different

taste preferences.

C. Increasing the temperature of a food enhances its flavors.

D. Taste receptors are replaced after lasting two weeks or less.

3. The receptors for sweet, bitter, and umami tastes all resemble which of these? A. Metabotropic synaptic receptors B. The rods in the retina

C. The hair cells of the auditory system D. Endocrine glands

4. Why is it possible for us to taste a wide variety of chemicals as bitter? A. All bitter substances are chemically similar. B. We have 30 or more types of bitter receptors.

C. We have a bitter receptor that is versatile enough to detect many types of chemicals.

D. Sweet and sour receptors can detect bitter substances. 5. Why are some people more sensitive than others are to low concentrations of taste or smell?

A. People with more activity in their prefrontal cortex pay more attention to sensations.

B. People who know more words for taste or smell can remember and report them better.

C. Some people have faster axons between the tongue and the brain.

D. Some people have more taste receptors or odor recep- tors than others do.

6. How do we manage to smell a wide variety of chemicals? A. An olfactory receptor varies the amplitude and velocity

of its action potentials to indicate the type of odor. B. The difference in response between the left nostril

and the right nostril identifies the odor.

C. The ratio of firing among three types of olfactory receptors identifies the odor.

D. We have hundreds of types of olfactory receptors.

7. When a new olfactory receptor forms to replace one that died, does it connect to the same site in the olfactory bulb as the previous receptor? If so, how? A. No, it connects at random with a site in the olfactory

bulb. B. It connects to the correct site because only one neu-

ron in the olfactory bulb has a vacancy.

C. It finds the correct site by chemical attraction. D. Each axon connects to the nearest neuron in the

olfactory bulb.

8. The vomeronasal organ responds to what stimuli? A. Pheromones B. Pain and temperature

C. Tilt and acceleration of the head D. Taste

9. What is the best-documented example of an effect of pheromones on humans? A. The smell of a sweaty man increases a woman’s

sexual arousal. B. People tend to be sexually attracted to someone who

smells like members of their own family.

C. Women who spend much time together tend to syn- chronize their menstrual cycles.

D. Men can detect a woman’s sexual interest by phero- mones she secretes.

10. What behavioral evidence indicates that synesthesia is real, and not just something that people claim to experience? A. Some people’s associations match the colors of

refrigerator magnets they played with in childhood. B. Most people change their synesthetic associations

from one year to the next.

C. People with synesthesia can find a 2 among 5s, or a 6 among 8s, faster than usual if they have different syn- esthetic colors, and slower if they have the same color.

D. It is easy to teach someone to develop a synesthesia.

Suggestions for Further Reading

Henshaw, J. M. (2012). A tour of the senses. Baltimore: Johns Hopkins University Press. Excellent explanation of the physics of hearing and other senses.

Horowitz, S. S. (2012). The universal sense: How hear- ing shapes the mind. New York: Bloomsbury. Entertaining description of sound, music, and the role of hearing in the lives of humans and other species.

Answers: 1B, 2A, 3A, 4B, 5D, 6D, 7C, 8A, 9C, 10C.

Thernstrom, M. (2010). The pain chronicles. New York: Far- rar, Straus and Giroux. Why can some people withstand ter- rible injuries with little apparent pain? Why do others suffer endlessly? This book explores these and other questions about pain.

6.3 The Chemical Senses 223

08202_ch06_ptg01.indd 223 9/14/17 9:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch07_ptg01.indd 224 9/14/17 10:00 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

225

Before we get started, please try this: Get out a pencil and a sheet of paper, and put the pencil in your nondominant hand. For example, if you are right-handed, put it in your left

hand. Now, with that hand, draw a face in profile—that is, fac-

ing one direction or the other but not straight ahead. Please do this now before

reading further.

If you tried the demonstration, you probably notice that your drawing is

more childlike than usual. It is as if part of your brain stored the way you used

to draw as a young child. Now, if you are right-handed and therefore drew

the face with your left hand, why did you draw it facing to the right? At least I

assume you did, because more than two-thirds of right-handers drawing with

their left hand draw the profile facing right. They revert to the pattern shown

by young children. Up to about age 5 or 6, children drawing with the right

hand almost always draw people and animals facing left, but when using the

left hand, they almost always draw them facing right. But why? They say, “it’s

easier that way,” but why is it easier that way? We have much to learn about the

control of movement and how it relates to perception, motivation, and other

functions. 

Module 7.1

The Control of Movement Muscles and Their Movements Units of Movement In Closing: Categories of Movement

Module 7.2

Brain Mechanisms of Movement The Cerebral Cortex The Cerebellum The Basal Ganglia Brain Areas and Motor Learning Conscious Decisions and Movement In Closing: Movement Control and Cognition

Module 7.3

Movement Disorders Parkinson’s Disease Huntington’s Disease In Closing: Movement Disorders Affect More

Than Movement

Chapter 7 Movement

Chapter Outline

After studying this chapter, you should be able to:

1. List the types of muscles and the proprio- ceptors that control them.

2. Describe the cortical mechanisms that control movement and its inhibition.

3. Contrast the anatomy and functions of the lateral and medial corticospinal tracts.

4. Describe the functions of the cerebellum and basal ganglia.

5. Evaluate the evidence regarding the role of consciousness in planning a movement.

6. Discuss the causes of Parkinson’s disease and Huntington’s disease.

Learning Objectives

Opposite:

Ultimately, what brain activity accomplishes is the control of movement—a far more complex process than it might seem. (ZUMA Press Inc./Alamy Stock Photo)

TRY IT YOURSELF

08202_ch07_ptg01.indd 225 9/14/17 10:00 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

226

Module 7.1

The Control of Movement

Why do we have a brain? Plants survive just fine without one. So do sponges, which are animals, even if they don’t act like them. But plants don’t move, and neither do sponges. A sea squirt (a marine invertebrate) has a brain during its infant stage, when it swims, but when it transforms into an adult, it attaches to a surface, becomes a stationary filter feeder, and digests its own brain, as if to say, “Now that I’ve stopped traveling, I won’t need this brain thing anymore.” Ultimately, the purpose of a brain is to control behaviors, and behaviors are movements.

the body in relation to the environment, and cardiac muscles that control the heart.

Each muscle is composed of many fibers, as Figure 7.2 illustrates. Although each muscle fiber receives information from only one axon, a given axon may innervate more than one muscle fiber. For example, the eye muscles have a ratio of about one axon per three muscle fibers, and the biceps muscles of the arm have a ratio of one axon to more than a hundred fibers (Evarts, 1979). This difference allows the eye to move more precisely than the biceps.

A neuromuscular junction is a synapse between a mo- tor neuron axon and a muscle fiber. In skeletal muscles, every axon releases acetylcholine at the neuromuscular junction, and acetylcholine always excites the muscle to contract. A deficit of acetylcholine or its receptors impairs movement. Each muscle makes just one movement, a contraction. There is no message to cause relaxation; the muscle relaxes when it receives no message to contract. There is also no message to move a muscle in the opposite direction. Moving a leg or arm back and forth requires opposing sets of muscles, called antagonistic muscles. At your elbow, for example, your flexor muscle brings your hand toward your shoulder and your extensor muscle straightens the arm (see Figure 7.3).

STOP & CHECK 1. Why do we move the eye muscles with greater precision than

the biceps muscles? 2. Which transmitter causes a skeletal muscle to contract?

ANSWERS

1. Each axon to the biceps muscles innervates about a hundred fibers; therefore, it is not possible to change the movement by a small amount. In contrast, an axon to the eye muscles innervates only about three fibers. 2. Acetylcholine. And remember that a muscle’s only movement is to contract.

Adult sea squirts attach to a surface, never move again, and digest their own brains.

“But wait,” you might reply. “We need a brain for other things, too, don’t we? Like seeing, hearing, understanding speech . . .”

Well, what would be the value of seeing and hearing if you couldn’t do anything? Understanding speech wouldn’t do you much good unless you could do something about it. A great brain without muscles would be like a computer without a monitor, printer, or other output. No matter how powerful the internal processing, it would be useless.

Muscles and Their Movements All animal movement depends on muscle contractions. Ver- tebrate muscles fall into three categories (see Figure 7.1): smooth muscles that control the digestive system and other organs, skeletal or striated muscles that control movement of

Fast and Slow Muscles Imagine you are a small fish. Your only defense against big- ger fish, diving birds, and other predators is your ability to swim away (see Figure 7.4). Your temperature is the same as

Re in

ha rd

D irs

ch er

l/A la

m y

St oc

k Ph

ot o

08202_ch07_ptg01.indd 226 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.1 The Control of Movement 227

(a) (b)

Mitochondrion

(c)

Figure 7.1 Vertebrate muscles (a) Smooth muscle, found in the intestines and other organs, consists of long, thin cells. (b) Skeletal, or striated, muscle consists of long cylindrical fibers with stripes. (c) Cardiac muscle, found in the heart, consists of fibers that fuse together at various points. Because of these fusions, cardiac muscles con- tract together, not independently. (Illustrations after Starr & Taggart, 1989) All © Ed Reschke

Figure 7.2 An axon branching to innervate several muscle fibers Movements can be more precise where each axon innervates only a few fibers, as with eye muscles, than where it innervates many fibers, as with biceps muscles.

Biceps contracts

Triceps relaxes

Biceps relaxes

Triceps contracts

Figure 7.3 Antagonistic muscles The biceps of the arm is a flexor. The triceps is an extensor. (Source: Starr & Taggart, 1989)

Ed R

es ch

ke

08202_ch07_ptg01.indd 227 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

228 CHAPTER 7 Movement

We rely on our slow-twitch and intermediate fibers, similar to a fish’s red muscles, for the least strenuous activities. For example, you could talk for hours without fatiguing your lip muscles. You might walk for a long time, too. But if you run up a steep hill at full speed, you switch to fast-twitch fibers that fatigue rapidly.

Slow-twitch fibers do not fatigue because they are aerobic—they use oxygen during their movements. You can think of them as “pay as you go.” Prolonged use of fast-twitch fibers results in fatigue because the process is anaerobic— using reactions that do not require oxygen at the time but need oxygen for recovery. Using them builds up an oxygen debt. Imagine yourself bicycling. At first your activity is aer- obic, using your slow-twitch fibers. However, your muscles use glucose, and after a while your glucose supplies begin to dwindle. Low glucose activates a gene that inhibits the mus- cles from using glucose, thereby saving glucose for the brain’s use (Booth & Neufer, 2005). You start relying more on the fast- twitch muscles that depend on anaerobic use of fatty acids. As you continue bicycling, your muscles gradually fatigue.

People vary in their percentages of fast-twitch and slow- twitch fibers, for reasons based on both genetics and training. The Swedish ultramarathon runner Bertil Järlaker built up so many slow-twitch fibers in his legs that he once ran 2,188 mi (3,521 km) in 50 days (an average of 1.7 marathons per day) with only minimal signs of pain or fatigue (Sjöström, Friden, & Ekblom, 1987). Contestants in the Primal Quest race have to traverse approximately 500 kilometers (310 miles) by run- ning, mountain climbing, mountain biking, river rafting, and ocean kayaking over 6 to 10 days in summer heat. To endure this ordeal, contestants need many adaptations of their mus- cles and metabolism (Pearson, 2006). In contrast, competitive sprinters have more fast-twitch fibers and other adaptations for speed instead of endurance (Andersen, Klitgaard, & Saltin, 1994; Canepari et al., 2005).

the water around you, and because muscle contractions are chemical processes, they slow down in the cold. So when the water gets cold, presumably you will move more slowly, right? Strangely, you will not. You will have to use more muscles than before, but you will swim at about the same speed (Rome, Loughna, & Goldspink, 1984).

A fish has three kinds of muscles: red, pink, and white. Red muscles produce the slowest movements, but they do not fatigue. White muscles produce the fastest movements, but they fatigue rapidly. Pink muscles are intermediate in speed and rate of fatigue. At high temperatures, a fish relies mostly on red and pink muscles. At colder temperatures, the fish re- lies more and more on white muscles, maintaining its speed but fatiguing faster.

All right, you can stop imagining you are a fish. Human and other mammalian muscles have various kinds of muscle fibers mixed together, not in separate bundles as in fish. Our muscle types range from fast-twitch fibers with fast contrac- tions and rapid fatigue to slow-twitch fibers with less vig- orous contractions and no fatigue (Hennig & Lømo, 1985).

Figure 7.4 Temperature and movement Fish are “cold blooded,” but many of their predators, such as this pelican, are not. At cold temperatures, each fish muscle contracts more slowly than usual, but a fish compensates by using more muscles.

STOP & CHECK 3. In what way are fish movements impaired in cold water? 4. Duck breast muscles are red (“dark meat”), whereas chicken

breast muscles are white. Which species probably can fly for a longer time before fatiguing?

ANSWERS

3. Although a fish can move rapidly in cold water, it fatigues easily. 4. Ducks can fly great distances, as they often do during migration. The white muscle of a chicken breast has the power necessary to get a heavy body off the ground, but it fatigues rapidly. Chickens seldom fly far.

Muscle Control by Proprioceptors As you are walking along on a bumpy road, you occasionally set your foot down a little too hard or not quite hard enough. You adjust your posture and maintain your balance without even thinking about it. How do you do that?

zim m

yt w

s/ Sh

ut te

rs to

ck .c

om

08202_ch07_ptg01.indd 228 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.1 The Control of Movement 229

are stretched, the spindle sends a message that results in a muscle contraction that opposes the stretch.

When you set your foot down on a bump on the road, your knee bends a bit, stretching the extensor muscles of that leg. The sensory nerves of the spindles send action potentials to the motor neuron in the spinal cord, and the motor neu- ron sends action potentials to the extensor muscle. Contract- ing the extensor muscle straightens the leg, adjusting for the bump on the road.

A physician who asks you to cross your legs and then taps just below the knee is testing your stretch reflexes (see Figure 7.6). The tap stretches the extensor muscles and their spindles, resulting in a message that jerks the lower leg up- ward. A leg that jerks excessively or not at all may indicate a neurological problem.

Golgi tendon organs, also proprioceptors, respond to increases in muscle tension. Located in the tendons at op- posite ends of a muscle, they act as a brake against an ex- cessively vigorous contraction. Some muscles are so strong that they could damage themselves if too many fibers con- tracted at once. Golgi tendon organs detect the tension that results during a muscle contraction. Their impulses travel to the spinal cord, where they excite inter- neurons that inhibit the motor neurons. In short, a vigorous muscle contraction inhibits further contraction by activating the Golgi tendon organs.

The proprioceptors not only control important reflexes but also provide the brain with information. Here is an illusion that you can try: Find a small, dense object and a larger, less dense object that weighs the same as the small one. For example, you might try a golf ball and a large

A baby is lying on its back. You playfully tug its foot and then let go. At once, the leg bounces back to its original posi- tion. How and why?

In both cases, proprioceptors control the movement (see Figure 7.5). A proprioceptor (from the Latin proprius, meaning “one’s own”) is a receptor that detects the position or movement of a part of the body—in these cases, a muscle. Muscle proprioceptors detect the stretch and tension of a muscle and send messages that enable the spinal cord to adjust its signals. When a muscle is stretched, the spinal cord sends a signal to contract it reflexively. This stretch reflex is caused by a stretch; it does not produce one.

One kind of proprioceptor is the muscle spindle, a recep- tor parallel to the muscle that responds to a stretch. Whenever the muscle is stretched more than the antagonistic muscle, the muscle spindle sends a message to a motor neuron in the spi- nal cord, which in turn sends a message back to the muscle, causing a contraction (Dimitriou, 2014). Note that this reflex provides for negative feedback: When a muscle and its spindle

Spinal cord

Information to brain

Sensory neurons

Muscle spindle

Golgi tendon organ

Motor neurons

Muscle

+

+ –

Figure 7.5 Two kinds of proprioceptors regulate muscle contractions When a muscle is stretched, nerves from the muscle spindles transmit impulses that lead to contraction of the muscle. Contraction of the muscle stimulates the Golgi tendon organ, which acts as a brake or shock absorber to prevent a contraction that is too quick or extreme.

Figure 7.6 The knee-jerk reflex This is one example of a stretch reflex.

TRY IT YOURSELF

08202_ch07_ptg01.indd 229 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

230 CHAPTER 7 Movement

will probably reverse the direction of your foot movement. It is difficult to make “voluntary” clockwise and counterclock- wise movements on the same side of the body at the same time. However, it is not at all difficult to move your left hand in one direction while moving the right foot in the opposite direction.

Movements Varying in Sensitivity to Feedback The military distinguishes ballistic missiles from guided missiles. A ballistic missile is launched like a thrown ball: Once it is launched, no one can change its aim. A guided missile detects the target and adjusts its trajectory to cor- rect its aim.

Similarly, some movements are ballistic, and others are corrected by feedback. A ballistic movement, such as a reflex, is executed as a whole: Once initiated, it cannot be altered. However, most behaviors are subject to feedback cor- rection. For example, when you thread a needle, you make a slight movement, check your aim, and then readjust. Simi- larly, a singer who holds a single note hears any wavering of the pitch and corrects it.

Sequences of Behaviors Many rapid sequences of behaviors depend on central pattern generators, neural mechanisms in the spinal cord that generate rhythmic patterns of motor output. Examples include the mechanisms that generate wing flapping in birds, fin movements in fish, and the “wet dog shake.” The stimu- lus that activates a central pattern generator does not control the frequency of the alternating movements. For example, a cat scratches itself at a rate of three to four strokes per sec- ond, regardless of what caused it to start scratching. Cells in the lumbar segments of the spinal cord generate this rhythm, and they continue doing so even if they are isolated from the brain or if the muscles are paralyzed (Deliagina, Orlovsky, & Pavlova, 1983). Researchers have identified the neural mecha- nisms of excitation and inhibition that produce these rhythms (Hägglund et al., 2013).

A fixed sequence of movements is called a motor program. For example, a mouse periodically grooms itself by sitting up, licking its paws, wiping them over its face, closing its eyes as the paws pass over them, licking the paws again, and so forth (Fentress, 1973). Once begun, the se- quence is fixed from beginning to end. By comparing species, we see that a motor program can be gained or lost through evolution. For example, if you hold a chicken above the ground and drop it, its wings extend and flap. Chickens with featherless wings make the same movements, even though they fail to break their fall (Provine, 1979, 1981). Chickens, of course, still have the genetic programming to fly. On the other hand, ostriches, emus, and rheas, which have not used their wings for flight for millions of generations, have lost

plastic model of a golf ball. Drop one of the objects onto someone’s hand while he or she is watching. (Watching is essential.) Then remove it and drop the other object onto the same hand. Most people report that the small one felt heavier. The reason is that with the larger object, people set themselves up with an expectation of a heavier weight. The actual weight displaces their proprioceptors less than expected and therefore yields the perception of a lighter ob- ject. You can get a similar result by asking someone to lift a small, heavy box and a larger box that weighs the same, or even a bit more. The smaller box will seem heavier. A general principle is that the brain reacts to sensations that differ from its expectations or predictions (Barrett & Simmons, 2015).

STOP & CHECK 5. If you hold your arm straight out and someone pulls it down

slightly, it quickly bounces back. Which proprioceptor is responsible?

6. What is the function of Golgi tendon organs?

ANSWERS

5. The muscle spindle 6. Golgi tendon organs respond to muscle tension and thereby prevent excessively strong muscle contractions.

Units of Movement Movements include speaking, walking, threading a needle, and throwing a basketball while off balance and evading two defenders. Different kinds of movement need different kinds of control by the nervous system.

Voluntary and Involuntary Movements Reflexes are consistent automatic responses to stimuli. We generally think of reflexes as involuntary because they are in- sensitive to reinforcements, punishments, and motivations. The stretch reflex is one example. Another is the constriction of the pupil in response to bright light.

Few behaviors are purely voluntary or involuntary, re- flexive or nonreflexive. Walking, which we think of as volun- tary, includes involuntary components. When you walk, you automatically compensate for the bumps and irregularities in the road. The knee-jerk reflex that your physician tests con- tributes to walking; raising the upper leg reflexively moves the lower leg forward in readiness for the next step. You also swing your arms automatically as an involuntary consequence of walking.

Try this: While sitting, raise your right foot and make clockwise circles. Keep your foot moving while you draw the number 6 in the air with your right hand. Or just move your right hand in counterclockwise circles. You

TRY IT YOURSELF

08202_ch07_ptg01.indd 230 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.1 The Control of Movement 231

the genes for flight movements and do not flap their wings when dropped (Provine, 1984). (You might pause to think about the researcher who found a way to drop these huge birds to test the hypothesis.)

Do humans have any built-in motor programs? Yawning is one example (Provine, 1986). A yawn includes a prolonged open-mouth inhalation, often accompanied by stretching, and a shorter exhalation. Yawns are consistent in duration, with a mean of just under 6 seconds. Certain facial expressions are also programmed, such as smiles, frowns, and the raised- eyebrow greeting. Hugging is not a built-in motor program, but it is interesting to note that the average nonromantic hug lasts 3 seconds for people throughout the world (Nagy, 2011). That is, even our voluntary behaviors have a surprising degree of regularity and predictability.

Nearly all birds reflexively spread their wings when dropped. However, emus—which lost the ability to fly through evolutionary time—do not spread their wings.

Categories of Movement

Charles Sherrington described a motor neuron in the spinal cord as “the final common path.” He meant that regardless of what sensory and motivational processes occupy the brain, the final result is either a muscle contraction or the delay of a

muscle contraction. A motor neuron and its associated muscle participate in a great many kinds of movements, and we need many brain areas to control them.

Module 7.1 In Closing

Summary 1. Vertebrates have smooth, skeletal, and cardiac muscles.

226 2. All nerve–muscle junctions rely on acetylcholine as their

neurotransmitter. 226 3. Skeletal muscles range from slow muscles that do not

fatigue to fast muscles that fatigue quickly. We rely on the slow muscles most of the time, but we recruit the fast muscles for brief periods of strenuous activity. 228

4. Proprioceptors are receptors sensitive to the posi- tion and movement of a part of the body. Two kinds of

proprioceptors, muscle spindles and Golgi tendon organs, help regulate muscle movements. 229

5. Some movements, especially reflexes, proceed as a unit, with little if any guidance from sensory feedback. Other movements, such as threading a needle, are guided and redirected by sensory feedback. 230

6. Central pattern generators produce fixed sequences of behaviors with a fixed rhythm. 230

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

Al be

rto L

oy o/

Sh ut

te rs

to ck

.c om

08202_ch07_ptg01.indd 231 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

232 CHAPTER 7 Movement

aerobic 228 anaerobic 228 antagonistic muscles 226 ballistic movement 230 cardiac muscles 226 central pattern generators 230 extensor 226

fast-twitch fibers 228 flexor 226 Golgi tendon organs 229 motor program 230 muscle spindle 229 neuromuscular junction 226 proprioceptor 229

reflexes 230 skeletal (striated) muscles 226 slow-twitch fibers 228 smooth muscles 226 stretch reflex 229

Module 7.1 End of Module Quiz

1. After acetylcholine causes a flexor muscle to move your hand toward your shoulder, what would move it the other direction? A. A different transmitter causes the muscle to relax. B. A different transmitter causes the muscle to move the

other direction.

C. Acetylcholine causes the extensor muscle to contract. D. A different transmitter causes the extensor muscle to

contract.

2. What happens to a fish’s movement speed in colder water? A. The fish swims more slowly. B. The fish swims at the same speed by making each

muscle contract more strongly.

C. The fish swims at the same speed by recruiting more muscle fibers.

D. The fish swims faster.

3. Which of the following is true of mammals’ slow-twitch muscle fibers? A. Because they are aerobic, they are subject to rapid

fatigue. B. Because they are anaerobic, they are subject to rapid

fatigue.

C. Because they are aerobic, they do not fatigue rapidly. D. Because they are anaerobic, they do not fatigue

rapidly.

4. Which of the following describes a stretch reflex? A. The receptor detects that a muscle is stretched, and

sends a signal to contract it reflexively. B. The receptor detects that a muscle is contracted, and

sends a signal to stretch it reflexively.

5. A muscle spindle and a Golgi tendon organ are both described as what? A. Optic receptors B. Metabolic receptors

C. Proprioceptors D. Chemoreceptors

6. What determines the rhythm of a cat’s scratching movements, or the wet dog shakes? A. The rhythm of activity produced by the stimulus itself B. The structure of the muscles

C. Commands from the prefrontal cortex D. A set of neurons in the spinal cord

Answers: 1C, 2C, 3C, 4A, 5C, 6D.

Would you expect jaguars, cheetahs, and other great cats to have mostly slow-twitch, nonfatiguing muscles in their legs or mostly fast-twitch, quickly fatiguing muscles? What kinds of animals might have mostly the opposite kind of muscles?

Thought Question

08202_ch07_ptg01.indd 232 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

233

Module 7.2

Brain Mechanisms of Movement

of the figure at this point. We shall attend to each area in due course.

The Cerebral Cortex Since the pioneering work of Gustav Fritsch and Eduard Hitzig (1870), neuroscientists have known that direct electri- cal stimulation of the primary motor cortex—the precentral gyrus of the frontal cortex, just anterior to the central sulcus (see Figure 7.9)—elicits movements. The motor cortex does not send messages directly to the muscles. Its axons extend to the brainstem and spinal cord, which generate the impulses that control the muscles. In most mammals, axons from the cerebral cortex connect only to interneurons of the brainstem or spinal cord, which in turn control motor neurons. In hu- mans and other primates, some axons go directly from the ce- rebral cortex to motor neurons, presumably giving us greater dexterity (Kinoshita et al., 2012).

The cerebral cortex is particularly important for complex actions such as talking or writing. It has much less control over coughing, sneezing, gagging, laughing, or crying (Rinn, 1984). Perhaps the lack of cerebral control explains why it is hard to perform those actions voluntarily. The primary motor cortex is also active when you imagine movements, remem- ber movements, or understand verbs related to movements (Tomasino & Gremese, 2016).

Figure 7.10 (which repeats parts of Figure 3.23) shows which areas of the somatosensory cortex feel which parts of the body, and which areas of the motor cortex control muscles in which parts of the body. A key point is the similarity be- tween the two. The motor cortex is just anterior to the so- matosensory cortex, and the two match up nicely. The brain area that controls the left hand is near the area that feels the left hand, the area that controls the left foot is near the area that feels the left foot, and so forth. You need to feel a body part to control its movement accurately.

Don’t read Figure 7.10 as implying that each spot in the motor cortex controls a single muscle. The region responsi- ble for any finger overlaps the regions responsible for other fingers (Sanes, Donoghue, Thangaraj, Edelman, & Warach, 1995). Furthermore, the output of a given neuron influences movements of the hand, wrist, and arm, and not just a single muscle (Vargas-Irwin et al., 2010).

Why do we care how the brain controls movement? One goal is to help people who have spinal cord damage or limb amputations. Suppose we could listen in on their brain messages and decode what movements they would like to make. Then biomedical engineers might route those messages to muscle stimulators or robotic limbs. Sound like science fiction? Not really. Researchers implanted an array of microelectrodes into the motor cortex of a woman who was paralyzed from the neck down. Then they connected electrodes in her primary motor cortex to a robotic arm, enabling her to make simple reaching and grasping movements, as shown in Figure 7.7 (Hochberg et al., 2012). A man who became quadriplegic after a diving acci- dent gradually learned to use his brain activity to control a device that stimulated muscles in his arm. For example, he learned to pick up a bottle and pour it into a cup (Bouton et al., 2016). Fur- ther progress will depend on both the technology and advances in understanding the brain mechanisms of movement.

Controlling movement depends on many brain areas, as illustrated in Figure 7.8. Don’t get too bogged down in details

Figure 7.7 Recordings from the brain control a robotic arm After a stroke in this woman’s midbrain cut off connections from her cortex to the spinal cord, she lost all control of her arm and leg muscles. A neural decoder connected cells in her motor primary motor cortex to a robotic arm, enabling her to pick up a coffee cup, drink from it, and put it back. Source: From Reach and grasp by people with tetraplegia using aneurally controlled robotic arm, by L. R. J. Vogel et al., 2012, Nature, 485, pp. 372–375.

08202_ch07_ptg01.indd 233 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

234 CHAPTER 7 Movement

Basal ganglia (blue)

Input to reticular formation

Primary motor cortex

Primary somatosensory cortex

Premotor cortex

Red nucleus

Reticular formation

Ventromedial tract

Dorsolateral tract

Cerebellum

Premotor cortex

Supplementary motor cortex

Prefrontal cortex

Primary motor cortex

Primary somatosensory cortex

Posterior parietal cortex

Central sulcus

Figure 7.8 Motor control in mammals Motor neurons in the medulla and spinal cord control muscle contractions. Pathways from the primary motor cortex, other corti- cal areas, midbrain, and medulla control those motor neurons.

Figure 7.9 Principal motor areas of the human cortex The primary motor cortex provides most of the output to the medulla and spinal cord.

08202_ch07_ptg01.indd 234 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 235

Planning a Movement One of the first areas to become active in planning a move- ment is the posterior parietal cortex (see Figure 7.9), which monitors the position of the body relative to the world (Snyder, Grieve, Brotchie, & Andersen, 1998). This part of the cortex is proportionately larger in humans than in most other primates, reflecting its enhanced role in selecting appropri- ate actions (Kaas & Stepniewska, 2016). People with posterior parietal damage have trouble finding objects in space, even after describing their appearance accurately. When walking, they frequently bump into obstacles (Goodale, 1996; Goodale, Milner, Jakobson, & Carey, 1991).

Brain surgery is sometimes conducted on people who are awake and alert, with only the skin of their scalp anesthetized. (The brain itself has no pain receptors.) During the course of such surgery, physicians can briefly stimulate certain brain ar- eas and record the results. When they stimulate parts of the posterior parietal cortex, people frequently report an intention to move—such as an intention to move the left hand. After more intense stimulation at the same locations, people report that they believe they did make the movement—although, in fact, they did not (Desmurget et al., 2009).

Several studies used fMRI to measure brain responses while people were preparing to move. The details vary, but the general idea is that people see a first signal that tells them what they are supposed to do, and then they have to wait a few seconds for a second signal that says to make the move- ment now. Or people see a first signal with partial informa- tion about what they will or will not have to do, and then after a short delay a second signal that tells them more precisely what to do. In each of these cases, the posterior parietal cor- tex is active throughout the delay, evidently preparing for the movement (Hesse, Thiel, Stephan, & Fink, 2006; Lindner, Iyer, Kagan, & Andersen, 2010).

For many years, researchers studied the motor cortex in laboratory animals by stimulating neurons with brief electri- cal pulses, usually less than 50 milliseconds (ms) in duration. The results were brief muscle twitches. Later researchers found different results when they lengthened the pulses to half a second. Instead of twitches, they elicited complex move- ment patterns. For example, stimulation of one spot caused a monkey to make a grasping movement with its hand, move its hand to just in front of the mouth, and open its mouth— as if it were picking up something and getting ready to eat it (Graziano, Taylor, & Moore, 2002). Repeated stimulation of this same spot elicited the same result each time, regardless of the initial position of the monkey’s hand. That is, the stim- ulation produced a certain outcome, not a particular muscle movement. The motor cortex orders an outcome and leaves it to the spinal cord and other areas to find the right combina- tion of muscles (Scott, 2004).

(a) Somatosensory cortex (b) Motor cortex

H ip

Knee

Trunk

Shoulder

ArmElbowWristHandFingers ThumbNeckBrowEye

Face

Lips

Jaw

Tongu e

Swa llow

ing

Intr a-a

bdo min

alPhar ynx

Tongu e

Genitals

Jaw

H ip

Toes

Leg

Gums Teeth

Lips

Face

Nose

Eye

Thum b

Fingers

Hand Forearm

Elbow Arm

H ead

N eck

Trunk

Figure 7.10 Coronal section through the primary somatosensory cortex and primary motor cortex The motor cortex lies just anterior to the somatosen- sory cortex. The motor area responsible for moving a certain body part is aligned with the somatosensory area responsible for feeling that body part. Commu- nication between sensing and moving is essential. (Adapted from Penfield & Rasmussen, 1950)

STOP & CHECK 7. What aspect of brain anatomy facilitates communication

between body sensations and body movements? 8. What evidence indicates that cortical activity represents

the “idea” of the movement and not just the muscle contractions?

ANSWERS

7. The motor cortex and the somatosensory cortex are adjacent, and the area of motor cortex devoted to a par- ticular body structure is aligned with the somatosensory cortex area responsive to the same structure. 8. Activity in the motor cortex leads to a particular outcome, such as movement of the hand to the mouth, regardless of what muscle contractions are necessary given the hand’s current location.

08202_ch07_ptg01.indd 235 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

236 CHAPTER 7 Movement

sending competing messages, and the outcome depends on whether the stop message arrives in time to cancel the action message (Schmidt, Leventhal, Mallet, Chen, & Berke, 2013).

Another example—not a particularly important behav- ior for its own sake, but a convenient one for psychologists to study—is the antisaccade task. A saccade is a voluntary eye movement from one target to another. Suppose you are staring straight ahead when something to one side or the other moves. You have a strong tendency to look toward the moving object. In the antisaccade task, you are supposed to look the opposite direction. You can try it yourself: Hold one hand to the left of someone’s head and the other hand to the right. When you wiggle a finger, the person is instructed to look at the other hand. Or have someone do the same for you. Most people agree that it is easier to look at the finger that moved than the other finger.

Before age 5 to 7 years, most children find it almost im- possible to ignore the wiggling finger and look the other way. Ability to perform this task gradually improves as the prefron- tal cortex slowly matures, reaching peak levels in young adult- hood (Bucci & Seessau, 2012). Performance deteriorates in old age, because the prefrontal cortex is highly vulnerable to damage (Sweeney, Rosano, Berman, & Luna, 2001). Perform- ing the antisaccade task requires sustained activity in parts of the prefrontal cortex and basal ganglia before seeing the wiggling finger (Velanova, Wheeler, & Luna, 2009; Watanabe & Munoz, 2010). That is, the brain prepares to inhibit the unwanted action and substitute a different one. Many adults who have neurological or psychiatric disorders affecting the prefrontal cortex or basal ganglia have trouble on this task (Munoz & Everling, 2004). As you might guess, people with attention deficit/hyperactivity disorder (ADHD), who tend to be impulsive in other ways, also have difficulty with the anti- saccade task (Lee, Lee, Chang, & Kwak, 2015; Loe, Feldman, Yasui, & Luna, 2009).

Mirror Neurons Of discoveries in neuroscience, one of the most exciting to psychologists has been mirror neurons, which are active both during preparation for a movement and while watch- ing someone else perform the same or a similar movement (Rizzolatti & Sinigaglia, 2010). Mirror neurons were first re- ported in the premotor cortex of monkeys (Gallese, Fadiga, Fogassi, & Rizzolatti, 1996) and later in other areas and other species, including humans (Dinstein, Hasson, Rubin, & Heeger, 2007; Kilner, Neal, Weiskopf, Friston, & Frith, 2009). These neurons became theoretically exciting because of the idea that they may be important for understanding other people, identifying with them, and imitating them. For example, mir- ror neurons in part of the frontal cortex become active when people smile or see someone else smile, and they respond especially strongly in people who report identifying strongly with other people (Montgomery, Seeherman, & Haxby, 2009). Many people have speculated that a lack of mirror neurons might be responsible for autism or schizophrenia, disorders

The prefrontal cortex and the supplementary motor cortex are also important for planning and organizing a rapid sequence of movements (Shima, Isoda, Mushiake, & Tanji, 2007; Tanji & Shima, 1994). If you have a habitual action, such as turning left when you get to a certain corner, the supple- mentary motor cortex is essential for inhibiting that habit when you need to do something else (Isoda & Hikosaka, 2007). The supplementary motor cortex also becomes active after an error in movement, developing ways to inhibit the incorrect movement the next time (Bonini et al., 2014).

The premotor cortex is most active immediately before a movement. It receives information about the target to which the body is directing its movement, as well as information about the body’s current position and posture (Hoshi & Tanji, 2000). Both kinds of information are, of course, necessary to direct a movement toward a target.

The prefrontal cortex, which is also active during a delay before a movement, stores sensory information relevant to a movement. It is also important for considering the probable outcomes of possible movements (Tucker, Luu, & Pribram, 1995). If you had damage to this area, many of your move- ments would be disorganized, such as showering with your clothes on or pouring water on the tube of toothpaste instead of the toothbrush (Schwartz, 1995). Interestingly, this area is inactive during dreams, and the actions we dream about doing are often as illogical as those of people with prefrontal cor- tex damage (Braun et al., 1998; Maquet et al., 1996). If you do something absentminded first thing in the morning, it may be that your prefrontal cortex is not fully awake.

STOP & CHECK 9. How does the posterior parietal cortex contribute to movement?

The premotor cortex? The supplementary motor cortex? The prefrontal cortex?

ANSWER

9. The posterior parietal cortex is important for perceiv- ing the location of objects and the position of the body relative to the environment. It is also active for planning of a movement. The premotor cortex and supplementary motor cortex are also active in preparing a movement shortly before it occurs. The supplementary motor cortex inhibits a habitual action when it is inappropriate. The prefrontal cortex stores sensory information relevant to a movement and considers possible outcomes of a movement.

Inhibiting a Movement Next, consider the situation in which you need to restrain yourself from following some impulse. The traffic light changes from red to green, but just as you are about to drive forward, you hear an ambulance siren telling you to get out of the way. Or you start to swing at a tennis ball in a doubles match when your partner shouts, “let it go,” because it will land out of bounds. In cases like these, two brain areas are

TRY IT YOURSELF

08202_ch07_ptg01.indd 236 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 237

Several types of evidence suggest that mirror neurons de- velop their properties by learning. In both monkey and human infants, many mirror neurons do not respond to observations of others’ movements until after the infants have practiced mak- ing those movements themselves (Shaw & Czekóová, 2013). Also, researchers identified mirror neurons that responded both when people moved a certain finger, such as the index finger, and when they watched someone else move the same finger. Then they asked people to watch a display on the screen and move their index finger whenever the hand on the screen moved the little finger. They were to move their little finger whenever the hand on the screen moved the index finger. After some practice, these “mirror” neurons turned into “counter- mirror” neurons that responded to movements of one finger by that person and the sight of a different finger on the screen (Catmur, Walsh, & Heyes, 2007). In other words, many mirror neurons modify their properties by learning, and probably de- veloped their original properties by learning also.

associated with deficient social relationships. However, sev- eral studies found evidence of normal mirror neurons in both of these conditions (e.g., Andrews, Enticott, Hoy, Thomson & Fitzgerald, 2015; Dinstein et al., 2010).

Mirror neurons are activated not only by seeing an ac- tion, but also by any reminder of the action. Certain cells re- spond to hearing an action as well as seeing or doing it (Kohler et al., 2002; Ricciardi et al., 2009). Other cells respond to either doing an action or reading about it (Foroni & Semin, 2009; Speer, Reynolds, Swallow, & Zacks, 2009).

The possibilities are exciting, but before we speculate too far, we need to address an important question: Do mir- ror neurons cause imitation and social behavior, or do they result from them? Put another way, are we born with neurons that respond to the sight of a movement and also facilitate the same movement? If so, they could be important for so- cial learning. Or do we learn which visible movements cor- respond to movements of our own, and then develop the connections that produce mirror neurons? In the latter case, mirror neurons are not responsible for imitation or socializa- tion (Heyes, 2010).

The best, perhaps only, evidence for inborn mirror neu- rons came from reports that some newborn infants imitate tongue protrusion and other expressions, as shown in Fig- ure 7.11. That result suggests built-in mirror neurons that connect the sight of a movement to the movement itself (Meltzoff & Moore, 1977). However, later results have cast doubt on that conclusion. Newborns react to many types of excitement by protruding the tongue, and what appears to be imitation can be coincidental. An extensive study found that infants’ expressions and gestures do not match what they see more often than we would expect by chance (Oostenbroek et al., 2016).

Figure 7.11 Infants appear to imitate certain facial expressions What appears to be imitation may be coincidence. Infants’ expressions sometimes match what they see, but not always. (Source: From A.N. Meltzoff & M.K. Moore, "Imitation of facial and manual gestures by human neonates." Science, 1977, 198, pp. 75–78.)

STOP & CHECK 10. When expert pianists listen to familiar, well-practiced music,

they imagine the finger movements, and the finger area of their motor cortex becomes active, even if they are not mov- ing their fingers (Haueisen & Knösche, 2001). If we regard those neurons as another kind of mirror neuron, what do these results imply about the origin of mirror neurons?

ANSWER

10. These neurons must have acquired these properties through experience. That is, they did not enable pianists to copy what they hear. They developed as pianists learned to copy what they hear.

08202_ch07_ptg01.indd 237 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

238 CHAPTER 7 Movement

in some way to nearly all movements, but certain movements rely on one tract more than the other.

The lateral corticospinal tract is a pathway of axons from the primary motor cortex, surrounding areas of the cor- tex, and from the red nucleus, a midbrain area that controls certain aspects of movement (see Figure 7.12). Axons of the lateral tract extend directly from the motor cortex to their target neurons in the spinal cord. In bulges of the medulla called pyramids, the lateral tract crosses to the contralateral

Connections from the Brain to the Spinal Cord Messages from the brain must reach the medulla and spinal cord, which control the muscles. Diseases of the spinal cord impair the control of movement in various ways, as listed in Table 7.1. Paths from the cerebral cortex to the spinal cord are called the corticospinal tracts. We have two such tracts, the lateral and medial corticospinal tracts. Both tracts contribute

Table 7.1 Disorders of the Spinal Cord

Disorder Description Cause Paralysis Inability for voluntary movement in part of the body Damage to motor neurons or their axons in the spinal cord

Paraplegia Loss of sensation and voluntary muscle control in the legs (Despite the lack of sensations from the genitals, stimulation of the genitals can produce orgasm.)

A cut through the spinal cord in the thoracic region or lower

Quadriplegia (or tetraplegia)

Loss of sensation and voluntary muscle control in both arms and legs

Cut through the spinal cord in the cervical (neck) region (or cortical damage)

Hemiplegia Loss of sensation and voluntary muscle control in the arm and leg of either the right or left side

Cut halfway through the spinal cord or damage to one hemisphere of the cerebral cortex

Tabes dorsalis Impaired sensations and muscle control in the legs and pelvic region, including bowel and bladder control

Damage to the dorsal roots of the spinal cord from the late stage of syphilis

Poliomyelitis Paralysis A virus that damages motor neurons in the spinal cord

Amyotrophic lateral sclerosis

Gradual weakness and paralysis, starting with the arms and spreading to the legs

Unknown. Traced to genetic mutations in some cases, and to exposure to toxins in other cases

(a) Cerebral hemisphere

Corpus callosum

Thalamus

(A)

(c) (d)

(b)

(a)

(b) Midbrain

(c) Upper level of medulla

Pyramids of medulla

Dorsolateral tract (from contralateral

cortex)

Red nucleus

(d) Spinal cord

Dorsal

Ventral

(a) Cerebral hemisphere

(B)

(b) Midbrain

Tectum

Caudate nucleus

Cerebellar cortex

Cerebellar nuclei Vestibular nucleus

Ventromedial tract Reticular formation

Thalamus

Cerebral cortex

Basal ganglia Reticular formation

(c) Medulla and cerebellum

(d) Spinal cord

Fibers from cerebral cortex (especially the primary motor cortex)

Figure 7.12 The lateral and medial corticospinal tracts The lateral tract (a) crosses from one side of the brain to the opposite side of the spinal cord and controls precise and discrete movements of the extremi- ties, such as hands, fingers, and feet. The medial tract (b) controls trunk muscles for postural adjustments and bilateral movements such as standing, bending, turning, and walking.

08202_ch07_ptg01.indd 238 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 239

movement. You have to know what your hands are doing now to control their next action.

Suppose someone suffers a stroke that damages the pri- mary motor cortex of the left hemisphere. The result is a loss of the lateral tract from that hemisphere and a loss of move- ment control on the right side of the body. Eventually, depend- ing on the location and amount of damage, the person may regain some muscle control from spared axons in the lateral tract. If not, using the medial tract can approximate the in- tended movement. For example, someone with no direct con- trol of the hand muscles might move the shoulders, trunk, and hips in a way that repositions the hand.

(opposite) side of the spinal cord. (For that reason, the lateral tract is also called the pyramidal tract.) It controls movements in peripheral areas, especially the hands and feet.

The medial corticospinal tract includes axons from many parts of the cerebral cortex, not just the primary mo- tor cortex and its surrounding areas. The medial path also includes axons from the midbrain tectum, the reticular for- mation, and the vestibular nucleus, a brain area that receives input from the vestibular system (see Figure 7.12). Axons of the medial tract go to both sides of the spinal cord, not just to the contralateral side. The medial tract controls mainly the muscles of the neck, shoulders, and trunk and therefore bi- lateral movements as walking, turning, bending, standing up, and sitting down (Kuypers, 1989). You can move your fingers on just one side of the body, but a movement such as standing up or sitting down must include both sides.

The functions of the lateral and medial tracts should be easy to remember: The lateral tract controls muscles in the lateral parts of the body, such as hands and feet. The medial tract controls muscles in the medial parts of the body, includ- ing trunk and neck.

Figure 7.12 compares the lateral and medial corticospi- nal tracts. Figure 7.13 compares the lateral tract to the spi- nal pathway bringing touch information to the cortex. Note that both paths cross in the medulla and that the touch in- formation arrives at brain areas side by side with those areas responsible for motor control. Touch is obviously essential for

Cerebral cortex

Discriminative touch (recognition of shape, size, texture)

Ventricle

Thalamus

Midbrain

Medulla

Lateral corticospinal tract

To muscles

Spinal cord segment

Figure 7.13 The touch path and the lateral corticospinal tract Both paths cross in the medulla so that each hemisphere has access to the opposite side of the body. The touch path goes from touch receptors toward the brain; the corticospinal path goes from the brain to the muscles.

STOP & CHECK 11. What kinds of movements does the lateral tract control? The

medial tract?

ANSWER

11. The lateral tract controls detailed movements in the periphery on the contralateral side of the body. For exam- ple, the lateral tract from the left hemisphere controls the right side of the body. The medial tract controls trunk movements bilaterally.

The Cerebellum The term cerebellum is Latin for “little brain.” Decades ago, most texts described the function of the cerebellum as “bal- ance and coordination.” Well, yes, people with cerebellar dam- age do lose balance and coordination, but that description understates the importance of this structure. The cerebellum contains more neurons than the rest of the brain combined (Williams & Herrup, 1988) and a huge number of synapses.

The cerebellum contributes to many aspects of brain functioning, especially anything that relates to aim or timing. People with cerebellar damage have trouble tapping a rhythm, clapping hands, pointing at a moving object, speaking, writing, typing, or playing a musical instrument. They are impaired at almost all athletic activities, except ones like weight lifting that do not require aim or timing. Researchers have found en- larged cerebellums in college basketball players (Park et al., 2009), competitive speed skaters (Park et al., 2012), and world- class mountain climbers (Di Paola, Caltagirone, & Petrosini, 2013). However, we do not know whether the enlargement is the cause or the result of skillful activity.

Cerebellar damage does not impair continuous motor ac- tivity (Spencer, Zelaznik, Diedrichsen, & Ivry, 2003). For ex- ample, people with such damage can draw continuous circles like the ones shown here, which do not require starting or stopping an action.

08202_ch07_ptg01.indd 239 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

240 CHAPTER 7 Movement

simply lifted objects, the cerebellum showed little activity. When they felt things with both hands to decide whether they were the same or different, the cerebellum was much more ac- tive. The cerebellum responded even when the experimenter rubbed an object across an unmoving hand. That is, the cer- ebellum responds to sensory stimuli even in the absence of movement. The cerebellum also responds to violations of sen- sory expectations. If you reach out your hand expecting to feel something and then don’t feel it, or feel something when you didn’t expect to, your cerebellum reacts strongly (Schlerf, Ivry, & Diedrichsen, 2012).

Richard Ivry and his colleagues have emphasized the importance of the cerebellum for behaviors that depend on precise timing of short intervals (from about a millisecond to 1.5 seconds). For example, people with cerebellar damage can accurately judge the loudness of a sound, but not its duration. Consider a classical conditioning procedure in which a sound predicts a puff of air to your eyes to occur one second later. Someone with cerebellar damage learns the connection, but does not time the eyeblink to the appro- priate time. Timing is also important for aim. If you have trouble timing a moving object, such as a ball thrown toward you, you will not be able to anticipate its trajectory, and you will fail to catch it. In short, when cerebellar damage impairs movement, the reason may be that the damage impaired the perception of timed stimuli related to the movement (Baumann et al., 2015).

People who are accurate at one kind of timed movement, such as tapping a rhythm with a finger, tend also to be good at other timed movements, such as tapping a rhythm with a foot, and at judging which visual stimulus moved faster and which delay between tones was longer. People with cerebellar damage are impaired at all of these tasks (Ivry & Diener, 1991; Keele & Ivry, 1990).

The cerebellum also appears critical for certain aspects of attention. In one study, people were told to keep their eyes fixated on a central point. At various times, they would see the letter E on either the left or right half of the screen, and they were to indicate the direction in which it was oriented (E,

E

, E, or E ) without moving their eyes. Sometimes, they

Here is a quick way to test the cerebellum: Ask someone to look at one spot and then to move the eyes quickly to fo- cus on another spot. Saccades (sa-KAHDS), voluntary eye movements from one fixation point to another, depend on impulses from the cerebellum and the frontal cortex to the cranial nerves. Someone with cerebellar damage has difficulty programming the angle and distance of eye movements (Dich- gans, 1984). The eyes make many short movements until, by trial and error, they eventually find the intended spot.

In the finger-to-nose test, the person is instructed to hold one arm straight out and then, at command, to touch his or her nose as quickly as possible. A normal person does so in three steps. First, the finger moves ballistically to a point just in front of the nose. This move function depends on the cere- bellar cortex (the surface of the cerebellum), which sends mes- sages to the deep nuclei (clusters of cell bodies) in the interior of the cerebellum (see Figure 7.14). Second, the finger remains steady at that spot for a fraction of a second. This hold function depends on the nuclei alone (Kornhuber, 1974). Finally, the finger moves to the nose by a slower movement that does not depend on the cerebellum.

Someone with damage to the cerebellar cortex has trou- ble with the initial rapid movement. The finger misses the nose, stops too soon, or goes too far. Someone with damage to the cerebellar nuclei has difficulty with the hold segment: The finger reaches a point in front of the nose and then wavers.

The symptoms of cerebellar damage resemble those of alcohol intoxication: clumsiness, slurred speech, and inac- curate eye movements. A police officer testing someone for drunkenness may use the finger-to-nose test or similar tests because the cerebellum is one of the first brain areas that alcohol affects.

Functions Other than Movement The cerebellum is not only a motor structure, and it becomes active in many situations when the individual is not moving. In one study, functional MRI measured cerebellar activity while people performed several tasks (Gao et al., 1996). When they

TRY IT YOURSELF

Cerebellum

Pons

Cerebellar cortex

Nuclei Figure 7.14 Location of the cerebellar nuclei relative to the cerebellar cortex In the inset at the upper left, the line indicates the plane shown in detail at the lower right.

08202_ch07_ptg01.indd 240 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 241

saw a signal telling where the letter would be on the screen. For most people, that signal improved their performance even if it appeared just 100 ms before the letter. For people with cerebellar damage, the signal had to appear nearly a second before the letter to be helpful. Evidently, people with cere- bellar damage need longer to shift their attention (Townsend et al., 1999).

STOP & CHECK 12. What kind of perceptual task would be most impaired by dam-

age to the cerebellum?

ANSWER 12. Damage to the cerebellum impairs perceptual tasks that depend on accurate timing.

Cellular Organization The cerebellum receives input from the spinal cord, from the sensory systems by way of the cranial nerve nuclei, and from the cerebral cortex. That information eventually reaches the cerebellar cortex, the surface of the cerebellum (see Figure 7.14).

Figure 7.15 shows the types and arrangements of neurons in the cerebellar cortex. The figure is complex, but concen- trate on these main points:

●● The neurons are arranged in a precise geometrical pat- tern, with multiple repetitions of the same units.

●● The Purkinje (pur-KIN-jee) cells are flat (two- dimensional) cells in sequential planes, parallel to one another.

●● The parallel fibers are axons parallel to one another and perpendicular to the planes of the Purkinje cells.

●● Action potentials in parallel fibers excite one Pur- kinje cell after another. Each Purkinje cell then transmits an inhibitory message to cells in the nuclei of the cerebellum (clusters of cell bodies in the interior of the cerebellum) and the vestibular nuclei in the brainstem, which in turn send information to the midbrain and the thalamus.

●● Depending on which and how many parallel fibers are active, they might stimulate only the first few Purkinje cells or a long series of them. Because the parallel fibers’ messages reach Purkinje cells one after another, the greater the number of excited Purkinje cells, the greater their collective duration of response. That is, if the parallel fibers stimulate only the first few Purkinje cells, the result is a brief message to the target cells; if they stimulate more Purkinje cells, the message lasts longer. The sequence of Purkinje cells controls the timing of the output, including both its onset and offset (Thier, Dicke, Haas, & Barash, 2000).

The Basal Ganglia The term basal ganglia applies collectively to a group of large subcortical structures in the forebrain (see Figure 7.16). (Ganglia is the plural of ganglion.) Various authorities dif- fer in which structures they include as part of the basal gan- glia, but everyone includes at least the caudate nucleus, the putamen (pyuh-TAY-men), and the globus pallidus. The caudate nucleus and putamen together are known as the striatum or dorsal striatum. The striatum receives input from the cerebral cortex and substantia nigra and sends its output to the globus pallidus, which then sends output to the thalamus and frontal cortex (Saunders et al., 2015). Figure 7.17 shows two pathways, known as the direct and indirect path- ways. The direct pathway from the striatum inhibits the globus pallidus, which inhibits part of the thalamus. By inhibiting an inhibitor, the net effect is excitation. Neuroscientists long be- lieved that the direct pathway stimulates movements whereas the indirect pathway inhibits them. However, later evidence found that both pathways are active before a movement and neither is active when the animal is at rest (Calabresi, Picconi, Tozzi, Ghiglieri, & Di Filippo, 2014; Cui et al., 2013). Probably the direct pathway enhances the selected movement, whereas the indirect pathway inhibits inappropriate competing move- ments (Kravitz, Tye, & Kreitzer, 2012). The indirect pathway is essential for learned performance. Researchers found that impairing the indirect pathway greatly slowed rats’ ability to learn to press one lever or another depending on what tone they heard (Nishizawa et al., 2012).

The basal ganglia are particularly important for sponta- neous, self-initiated behaviors. For example, a monkey in one study was trained to move one hand to the left or right to re- ceive food. On trials when it heard a signal indicating exactly when to move, the basal ganglia showed little activity. How- ever, on other trials the monkey saw a light indicating that it should start its movement in not less than 1.5 seconds and finish in not more than 3 seconds. Therefore, the monkey had to choose its own starting time. Under those conditions, the basal ganglia were highly active (Turner & Anderson, 2005).

In another study, people used a computer mouse to draw lines on a screen while researchers used PET scans to exam- ine brain activity. Activity in the basal ganglia increased when

STOP & CHECK 13. How are the parallel fibers arranged relative to one another

and to the Purkinje cells? 14. If a larger number of parallel fibers are active, what is the

effect on the collective output of the Purkinje cells?

ANSWERS

13. The parallel fibers are parallel to one another and perpendicular to the planes of the Purkinje cells. 14. As a larger number of parallel fibers become active, the Purkinje cells increase their duration of response.

08202_ch07_ptg01.indd 241 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

242 CHAPTER 7 Movement

in class, ordinarily you ponder it for a while, eventually decide to ask the question, and slowly raise your hand. But if the pro- fessor asks how many would like to postpone Friday’s test, you raise your hand at once.

The difference between stimulus-initiated and self-ini- tiated behaviors has an interesting consequence. Many old Western movies included a gunfight between the hero and the villain. Always the villain drew his gun first, but the hero was faster, and even though he started later, he won the draw.

people drew a new line but not when they traced a line al- ready on the screen (Jueptner & Weiller, 1998). Again, the basal ganglia seem critical for self-initiated actions, and not for stimulus-elicited actions. In general, self-initiated behav- iors have a slower onset than those in response to a stimulus. For example, if you are driving your car and you decide you need to change lanes to make a turn, you react slowly. Imagine how much faster you react if a deer charges in front of you. Another example: When you raise your hand to ask a question

Purkinje cells

Parallel �bers

Figure 7.15 Cellular organization of the cerebellum Parallel fibers (yellow) activate one Purkinje cell after another. Purkinje cells (red) inhibit a target cell in one of the nuclei of the cerebellum (not shown, but toward the bottom of the illustration). The more Purkinje cells that respond, the longer the target cell is inhibited. In this way, the cerebellum controls the duration of a movement.

08202_ch07_ptg01.indd 242 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 243

Globus pallidus (lateral part)

Caudate nucleus

Subthalamic nucleus

Substantia nigra

Putamen

Globus pallidus (medial part)

Thalamus

Figure 7.16 Location of the basal ganglia The basal ganglia surround the thalamus and are surrounded by the cerebral cortex.

(a) The direct pathway (b) The indirect pathway

Cerebral cortex

Cerebral cortex

Thalamus

Substantia nigra Substantia nigra Subthalamus

Globus pallidus Globus

pallidus

Amygdala

Striatum Striatum Thalamus

Amygdala

Subthalamus

Figure 7.17 Two pathways through the basal ganglia The indirect pathway has extra connections within the globus pallidus and back and forth to the subthalamus.

08202_ch07_ptg01.indd 243 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

244 CHAPTER 7 Movement

Brain Areas and Motor Learning Of all the brain areas responsible for control of movement, which ones are important for learning new skills? The appar- ent answer is all of them.

Neurons in the motor cortex adjust their responses as a person or animal learns a motor skill. At first, movements are slow and inconsistent. As movements become faster, relevant neurons in the motor cortex increase their firing rates (Cohen & Nicolelis, 2004). After prolonged training, the movement patterns become more consistent from trial to trial, and so do the patterns of activity in the motor cortex. In engineer- ing terms, the motor cortex increases its signal-to-noise ratio (Kargo & Nitz, 2004).

The basal ganglia are critical for learning new habits (Yin & Knowlton, 2006). For example, when you are first learning to drive a car, you have to think about everything you do. Even- tually, you learn to signal for a left turn, change gears, turn the wheel, and change speed all at once. You also inhibit many ir- relevant actions. If you try to explain exactly what you do, you will probably find it difficult. People with basal ganglia damage are impaired at learning motor skills and at converting new movements into smooth, “automatic” responses (Poldrack et al., 2005; Willingham, Koroshetz, & Peterson, 1996).

Researchers wondered, is that realistic? Could someone draw second and still win? The answer is yes, and in some cases the person drawing second might even have an advantage, be- cause a reaction to a stimulus (seeing the other person go for his gun) is faster than a spontaneous movement. In one ex- periment, two people had a competition. While watching each other, they had to wait an unpredictable period of time—if they acted too soon, the results didn’t count—and then press three buttons in a particular order (analogous to drawing a gun and shooting). So, each person sometimes initiated the action and sometimes reacted after seeing the other person act, but the one who completed the action first was the winner. On aver- age, when people were reacting to the other person’s act, they made the movements 9 percent faster (Welchman, Stanley, Schomers, Miall, & Bülthoff, 2010). A replication found simi- lar results (La Delfa et al., 2013). So, you just learned some- thing useful for the next time you get into a gunfight.

The role of the basal ganglia in movement control has gradually become clearer. Because cells in the primary motor cortex become active before those in the basal ganglia, the basal ganglia must not be responsible for selecting which movement to make. Rather, their role is to regulate the vigor of the move- ment (Turner & Desmurget, 2010). Many cells in the basal gan- glia cells respond strongly to signals indicating that a response will probably lead to reward (Ikemoto, Yan, & Tan, 2015). Stim- ulating dopamine type 1 receptors (D1) in the direct pathway of the striatum produces the same behavioral effects that an in- crease in reward does (Tai, Lee, Benavidez, Bonci, & Wilbrecht, 2012). Activity in the indirect pathway makes responses slower and less vigorous (Yttri & Dudman, 2016).

After damage to the striatum, animals still learn to choose the response that produces the larger reward, but they don’t respond more vigorously for the larger reward (Wang, Miura, & Uchida, 2013). Describing the role of the basal ganglia in these terms makes sense of what we see in patients with dam- age to the basal ganglia, as in Parkinson’s disease. They are capable of strong movements, and sometimes they do move strongly, in response to immediate signals. (Remember, the basal ganglia control mainly self-initiated movements.) How- ever, their spontaneous movements are slow and weak, as if they felt little motivation to move. We consider Parkinson’s disease in more detail in the next module. Also consider the relevance to depression: When the dopamine pathway to the striatum becomes less active, the result is depressed mood and a lack of motivation.

STOP & CHECK 15. In general, do the basal ganglia have more effect on

responses to a stimulus or on self-initiated movements? 16. Which aspect of movement do the basal ganglia control?

ANSWERS

15. The basal ganglia have more influence on self- initiated movements, which are generally slower. 16. The basal ganglia control the vigor of movements.

STOP & CHECK 17. What kind of learning depends most heavily on the basal

ganglia?

ANSWER 17. The basal ganglia are essential for learning motor habits that are difficult to describe in words.

Conscious Decisions and Movement Where does conscious decision come into all of this? Each of us has the feeling, “I consciously decide to do something, and then I do it.” That sequence seems so obvious that we might not even question it, but research casts doubt on this assumption.

Imagine yourself in the following study (Libet, Gleason, Wright, & Pearl, 1983). You are instructed to flex your wrist whenever you choose. You don’t choose which movement to make, but you choose the time freely. You should not decide in advance when to move but let the urge occur as spontane- ously as possible. The researchers take three measurements. First, they attach electrodes to your scalp to record evoked electrical activity over your motor cortex. Second, they attach a sensor to record when your hand starts to move. The third measurement is your self-report: You watch a clocklike device, as shown in Figure 7.18, in which a spot of light moves around the circle every 2.56 seconds. You are to watch that clock.

08202_ch07_ptg01.indd 244 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 245

decision occurred then. People report the decision later.) For example, if you reported that your decision to move occurred at position 25, your decision came 200 ms before the move- ment that began at position 30. (Remember, the light moves around the circle in 2.56 seconds.) However, your motor cor- tex produces a kind of activity called a readiness potential before any voluntary movement, and on the average, the read- iness potential begins at least 500 ms before the movement. In this example, it would start when the light was at position 18, as illustrated in Figure 7.19.

The results varied among individuals, but most were similar. The key point is that the brain activity responsible for the movement apparently began before the person’s conscious decision! The results seem to indicate that your conscious de- cision does not cause your action. Rather, you become con- scious of the decision after the process leading to action has already been underway for about 300 milliseconds.

As you can imagine, this experiment has sparked much discussion among philosophers as well as psychologists. The research has been replicated in several laboratories, so the results are solid (e.g., Lau, Rogers, Haggard, & Passingham, 2004; Trevena & Miller, 2002). One objection is that people cannot accurately report the time they become conscious of something. However, when people are asked to report the time of a sensory stimulus, or the time that they made a move- ment (instead of the decision to move), their estimates are usually within 30 to 50 ms of the correct time (Lau et al., 2004; Libet et al., 1983). That is, they cannot report the exact time when something happens, but they are close.

Nevertheless, we are probably less accurate at reporting the time of a conscious decision than the time of a sensory stimulus. After all, we often need to know when something happened, but we seldom need to know exactly when we made a decision. Furthermore, Libet’s method asks someone

Do not decide in advance that you will flex your wrist when the spot on the clock gets to a certain point. However, when you do decide to move, note where the spot of light is at the moment when you decide, and remember it so you can report it later.

The procedure starts. You think, “Not yet . . . not yet . . . not yet . . . NOW!” You note where the spot was at that critical instant and report, “I made my decision when the light was at the 25 position.” The researchers compare your report to their records of your brain activity and your wrist movement. On the average, people report that their decision to move occurred about 200 ms before the actual movement. (The

15

10

555

50

45

40

35 30

25

20

Figure 7.18 Procedure for Libet’s study of conscious decision and movement The participant was to make a spontaneous decision to move the wrist and remember where the light was at the time of that decision. (Source: From “Time of conscious intention to act in relation to onset of cerebral activi- ties (readiness potential): The unconscious initiation of a freely voluntary act,” by B. Libet et al., in Brain, 106, pp. 623–42. Reprinted by permission of Oxford University Press.)

Readiness potential

Time

15

Where the light was when the readiness potential began.

Brain’s readiness potential begins to rise in preparation for the movement.

Person reports that the conscious decision occurred here.

The movement itself starts here.

10

555

50

45

40

35 30

25

20

Where the light was when the wrist movement began.

Where the light was at the time of the reported decision.

Figure 7.19 Results from study of conscious decision and movement On average, the brain’s readiness potential began at least 300 ms before the reported decision, which occurred 200 ms before the movement. (Source: From “Time of conscious intention to act in relation to onset of cerebral activities (readiness potential): The unconscious initiation of a freely voluntary act,” by B. Libet et al., in Brain, 106, pp. 623–42. Reprinted by permission of Oxford University Press.)

08202_ch07_ptg01.indd 245 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

246 CHAPTER 7 Movement

or right hand 7 to 10 seconds before the response (Soon, Brass, Heinze, & Haynes, 2008). That is, someone monitoring your cortex could, in this situation, predict which choice you were going to make a few seconds before you were aware of mak- ing the decision. Evidently a decision to move develops more slowly than we might have guessed, and we are conscious of the decision only toward the end of the process.

None of these results deny that you make a voluntary de- cision. The implication, however, is that what we identify as a conscious decision is the perception of a gradual brain pro- cess. It probably begins with unconscious processes that build up to a certain level before they become conscious.

Does brain activity always start 7 to 10 seconds before a movement? Of course not. If you see or hear something that calls for an action—such as a pedestrian darting into the road while you are driving—you respond within a split sec- ond. Again you see the importance of the distinction between stimulus-triggered movements and self-initiated movements.

to identify the instant when he or she decided to flex the wrist, as if the decision happened instantaneously. In fact, such a de- cision builds up gradually (Guggisberg & Mottaz, 2013). The movement is a spontaneous, self-initiated movement, the type that depends on the basal ganglia, the type of movement that has a slow onset. Reporting when you decided to make a vol- untary movement is like reporting when you fell in love with someone: You can report the time when you were sure of it, but the process developed gradually long before that.

When people report the time of their decision, maybe they are just guessing. Suppose we repeat Libet’s experiment with one change: When you make your movement, you will hear a sound, which you naturally assume is simultaneous with your movement. Sometimes it is, but sometimes it is delayed by a fraction of a second after your movement. On occasions when it is delayed, your reported time of making a conscious decision is also delayed! Apparently your report of when you made your decision depends on when you think the movement occurred (Banks & Isham, 2009; Rigoni, Brass, & Sartori, 2010). If your report of when you decided is little more than a guess, then Libet’s results don’t tell us as much as we thought they did.

Let’s consider one more experiment: You watch a screen that displays letters of the alphabet, one at a time, changing ev- ery half-second. In this case you choose not just when to act, but which of two acts to do. You should decide at some point whether to press a button on the left or one on the right. When you make that decision, press the button immediately, and re- member what letter was on the screen at the moment when you decided which button to press. Meanwhile, the research- ers record activity from your cortex. The result: People usually report a letter they saw within one second of making the re- sponse. Remember, the letters changed only twice a second, so it wasn’t possible to determine the time of decision with great accuracy. However, it wasn’t necessary, because parts of the frontal and parietal cortices showed activity specific to the left

STOP & CHECK 18. Explain the evidence suggesting that a conscious decision to

move does not cause the movement. 19. Why are some researchers skeptical of this evidence?

ANSWERS

18. Researchers recorded responses in people’s cortex that predicted the upcoming response. Those brain responses occurred earlier than the time people reported as “when they made the decision.” 19. The studies assume that people accurately report the times of their intentions. However, people’s reports are influenced by events after the movement, and therefore we cannot be confident of their accuracy. Furthermore, a decision to make a voluntary movement is a gradual process that cannot be pinpointed to a single instant.

Movement Control and Cognition

It is tempting to describe behavior in three steps—first we perceive, then we think, and finally we act. Brain areas do not fall into those neat categories. For example, the posterior pari- etal cortex monitors the position of the body relative to visual space and thereby helps guide movement. Its functions are sensory, cognitive, and motor. The cerebellum has traditionally been considered a major part of the motor system, but it is now known to be important in timing sensory processes. People

with basal ganglia damage are slow to start or select a move- ment. They are also often described as cognitively slow; that is, they hesitate longer than usual before making any kind of choice. In short, organizing a movement is not something we tack on at the end of our thinking. It is intimately intertwined with all of our sensory and cognitive processes. The study of movement is not just the study of muscles. It is the study of how we decide what to do.

Module 7.2 In Closing

Summary 1. The primary motor cortex is the main source of brain

input to the spinal cord. The spinal cord contains central pattern generators that actually control the muscles. 233

2. Each area of the motor cortex is closely aligned with a portion of the somatosensory cortex that pertains to the same body part. 233

08202_ch07_ptg01.indd 246 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.2 Brain Mechanisms of Movement 247

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

antisaccade task 236 basal ganglia 241 caudate nucleus 241 cerebellar cortex 241 corticospinal tracts 238 globus pallidus 241 lateral corticospinal tract 238 medial corticospinal tract 239

mirror neurons 236 nuclei of the cerebellum 241 parallel fibers 241 posterior parietal cortex 235 prefrontal cortex 236 premotor cortex 236 primary motor cortex 233 Purkinje cells 241

putamen 241 readiness potential 245 red nucleus 238 striatum or dorsal striatum 241 supplementary motor cortex 236 vestibular nucleus 239

Human infants are at first limited to gross movements of the trunk, arms, and legs. The ability to move one finger at a time matures gradually over at least the first year.

What hypothesis would you suggest about which brain areas controlling movement mature early and which areas mature later?

Thought Question

3. The primary motor cortex produces patterns representing the intended outcome, not just the muscle contractions. 235

4. Areas near the primary motor cortex—including the pre- frontal, premotor, and supplementary motor cortices—are active in detecting stimuli for movement and preparing for a movement. 236

5. The ability to inhibit an inappropriate behavior devel- ops gradually in children and adolescents, depending on maturation of the prefrontal cortex and basal ganglia. 236

6. Mirror neurons in various brain areas respond to both a self-produced movement and an observation of a similar movement by another individual. Their role in imitation and social behavior is uncertain. In many, possibly all, cases they develop their properties by learning, and they may be a result of imitation more than a cause of it. 236

7. The lateral tract, which controls movements in the periphery of the body, has axons that cross from one side of the brain to the opposite side of the spinal cord. The medial tract controls bilateral movements near the midline of the body. 238

8. The cerebellum is critical for movements that require accurate aim and timing. 239

9. The cerebellum has multiple roles in behavior, including sensory functions related to perception of the timing or rhythm of stimuli. 240

10. The cells of the cerebellum are arranged in a regular pat- tern that enables them to produce outputs of precisely controlled duration. 241

11. The basal ganglia are a group of large subcortical struc- tures that are important for self-initiated behaviors. The basal ganglia process information about probable rewards and thereby regulate the vigor of responses. 241

12. The learning of a motor skill depends on changes occur- ring in both the cerebral cortex and the basal ganglia. 244

13. When people identify the instant when they formed a conscious intention to move, their time precedes the actual movement by about 200 ms but follows the start of motor cortex activity by about 300 ms. However, it is not clear how accurately people can report the time of a conscious decision. A voluntary decision to move develops gradually, not suddenly. 244

Module 7.2 End of Module Quiz

1. What is the route from the motor cortex to the muscles? A. Axons from the motor cortex go directly to the

muscles. B. Axons from the motor cortex go to the thalamus,

which has axons to the muscles.

C. Axons from the motor cortex go to the cerebellum, which has axons to the muscles.

D. Axons from the motor cortex go to the brainstem and spinal cord, which have axons to the muscles.

2. A half-second stimulation in the motor cortex produces what kind of result? A. Isolated muscle twitches B. Contraction of a particular combination of muscles

C. Contraction of whatever muscles are necessary to produce a particular outcome

D. Contractions of different muscles that vary unpredict- ably from one trial to another

08202_ch07_ptg01.indd 247 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

248 CHAPTER 7 Movement

Answers: 1D, 2C, 3A, 4A, 5D, 6A, 7B, 8B, 9B, 10D, 11A, 12B, 13C.

3. When a movement occurs, which of the following brain areas is the last one to reach its peak of activity? A. The primary motor cortex B. The posterior parietal cortex

C. The premotor cortex D. The prefrontal cortex

4. What does the antisaccade task measure? A. The ability to inhibit a movement B. The ability to vary the strength of a movement

C. The ability to control the speed of a movement D. The ability to alternate between antagonistic muscles

5. Before we conclude that mirror neurons help people imitate, which of the following should research demonstrate? A. Mirror neurons respond to both seeing and hearing

someone else’s movement. B. Mirror neurons occur in the same brain areas of

humans as in monkeys.

C. Mirror neurons have different properties for people from different cultures.

D. Mirror neurons develop their properties before chil- dren start to imitate.

6. What does the medial corticospinal tract control? A. Bilateral movements of the trunk of the body B. Contralateral movements of the trunk of the body

C. Bilateral movements of the arms, hands, and feet D. Contralateral movements of the arms, hands, and feet

7. What does the finger-to-nose test measure? A. Possible dysfunction of the basal ganglia B. Possible dysfunction of the cerebellum

C. Possible dysfunction of the prefrontal cortex D. Possible dysfunction of the primary motor cortex

8. The cerebellum is most important for which aspect of movement? A. Strength B. Timing

C. Direction D. Inhibition

9. How are the parallel fibers arranged relative to the Purkinje cells? A. They are parallel to them. B. They are perpendicular to them.

C. They are arranged at random angles. D. They circle around each Purkinje cell.

10. Which of the following characterizes the movements that depend heavily on the basal ganglia? A. Stimulus-triggered, and generally faster than self-

initiated movements B. Stimulus-triggered, and generally slower than self-

initiated movements

C. Self-initiated, and generally faster than responses that a stimulus triggers

D. Self-initiated, and generally slower than responses that a stimulus triggers

11. In what way, if at all, does basal ganglia activity relate to motivation? A. The basal ganglia increase vigor of response depend-

ing on expected reward value. B. The basal ganglia help to maintain constant behavior

even when motivation is low.

C. The basal ganglia become active only when you are competing against someone else.

D. Basal ganglia activity has nothing to do with motivation.

12. What kind of learning depends most heavily on the basal ganglia? A. Learned movements that depend on precise timing B. Motor habits that are difficult to describe in words

C. Learning to recall specific life events D. Learning what foods to eat

13. According to Libet’s study, what is the order of events in a voluntary movement? A. People form an intention, then activity begins in the

premotor cortex, and finally the movement starts. B. People form an intention at the same time that activ-

ity begins in the premotor cortex, and a bit later, the movement starts.

C. Activity begins in the premotor cortex, and a bit later, people are aware of forming an intention, and finally the movement starts.

D. Activity begins in the premotor cortex, and a bit later, people are aware of forming an intention, and simul- taneously the movement starts.

08202_ch07_ptg01.indd 248 9/14/17 10:01 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

249

Module 7.3

Movement Disorders

to the thalamus, as shown in Figure 7.20. The primary re- sults are rigidity, muscle tremors, slow movements, and dif- ficulty initiating voluntary activity. People with Parkinson’s disease are still capable of movement, and sometimes they move normally in response to signals or instructions, such as when following a parade (Teitelbaum, Pellis, & Pellis, 1991). However, their spontaneous movements are slow and weak. The movement problems include both a difficulty activating a movement and a difficulty inhibiting inappropriate move- ments (Jahanshahi, Obeso, Rothwell, & Obeso, 2015). An- other common symptom is a lack of motivation and pleasure (Martínez-Horta et al., 2014). Many but not all Parkinson’s patients have cognitive deficits, which may include problems with attention, language, or memory (Miller, Neargarder, Risi, & Cronin-Golomb, 2013).

If you have damage in your spinal cord, peripheral nerves, or muscles, you cannot move, but cognitively you are the same as ever. In contrast, brain disorders that impair movement also impair mood, memory, and cognition. We consider two examples: Parkinson’s disease and Huntington’s disease.

Parkinson’s Disease Parkinson’s disease (also known as Parkinson disease), which strikes 1 to 2 percent of people over age 65, results from the gradual loss of dopamine-releasing axons from the substan- tia nigra to the striatum (part of the basal ganglia). With the loss of this input, the striatum decreases its inhibition of the globus pallidus, which therefore increases its inhibitory input

(a) (b)

Cerebral cortex

Thalamus

Substantia nigra

Amygdala

Putamen

Globus pallidus Cerebral

cortex

Thalamus

Amygdala

Decreased excitation from thalamus to cortex

Decreased excitation from substantia nigra to putamen

Increased inhibition from globus pallidus to thalamus

Decreased inhibition from putamen to globus pallidus

Figure 7.20 Connections from the substantia nigra: (a) normal and (b) in Parkinson’s disease Excitatory paths are shown in green; inhibitory are in red. Decreased excitation from the substantia nigra decreases inhibition from the striatum, leading to increased inhibition from the globus pallidus. The net result is decreased excitation from the thalamus to the cortex. (Source: Based on Yin & Knowlton, 2006)

08202_ch07_ptg01.indd 249 9/14/17 10:02 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

250 CHAPTER 7 Movement

found that people who drank 10 or more cups of coffee per day had only one-fourth the risk of Parkinson’s disease that other people had (Sääksjärvi, Knekt, Rissanen, Laaksonen, Reunanen, & Männistö, 2008). However, correlation does not mean causation. People who drink that much coffee may differ from other people in other ways as well.

Causes The problem starts in the substantia nigra, but what causes the damage to the substantia nigra? Researchers have identi- fied at least 28 gene variants that increase the risk of Parkin- son’s disease (Nalls et al., 2014). None of those genes by itself has a major effect, but having several of them produces a cu- mulative effect. Still, no one can examine your chromosomes and predict with much accuracy whether or not you will de- velop the disease (Darweesh et al., 2016).

An accidental discovery implicated exposure to toxins as another factor in Parkinson’s disease (Ballard, Tetrud, & Langston, 1985). In northern California in 1982, several young adults developed symptoms of Parkinson’s disease after using a drug similar to heroin. Before the investigators could alert the community to the danger, many other users had devel- oped symptoms ranging from mild to fatal (Tetrud, Langston, Garbe, & Ruttenber, 1989). The substance responsible for the symptoms was MPTP, a chemical that the body converts to MPP+, which accumulates in, and then destroys, neurons that release dopamine, partly by impairing the transport of mitochondria from the cell body to the synapse1 (Kim-Han, Antenor-Dorsey, & O’Malley, 2011; Nicklas, Saporito, Basma, Geller, & Heikkila, 1992).

No one supposes that Parkinson’s disease often results from using illegal drugs. A more likely hypothesis is that people are sometimes exposed to hazardous environmental chemicals that damage cells of the substantia nigra. Many studies, though not all, have shown a somewhat increased risk of Parkinson’s disease among people with much exposure to insecticides, herbicides, and fungicides (Freire & Koifman, 2012; Pezzoli & Cereda, 2013; Tanner et al., 2011; Wan & Lin, 2016; Wang et al., 2011). Exposure to these chemicals in- creases the risk especially among people with any of the genes that predispose to Parkinson’s (Cannon & Greenamyre, 2013). If someone also had a traumatic head injury, the risk goes up even more (Lee, Bordelon, Bronstein, & Ritz, 2012). In short, most cases result from a combination of influences.

What else might influence the risk of Parkinson’s disease? Researchers compared the lifestyles of people who did and didn’t develop the disease. One factor that stands out consis- tently is cigarette smoking and coffee drinking: People who smoke cigarettes or drink coffee have less chance of develop- ing Parkinson’s disease (Li, Li, Liu, Shen, & Tang, 2015; Ritz et al., 2007). (Read that sentence again.) One study took ques- tionnaire results from more than a thousand pairs of young adult twins and compared the results to medical records de- cades later. Of the twins who had never smoked, 18.4 percent developed Parkinson’s disease. In contrast, 13.8 percent of the smokers developed the disease, as did only 11.6 percent of the heaviest smokers (Wirdefeldt, Gatz, Pawitan, & Peder- sen, 2005). Needless to say, smoking cigarettes increases the risk of lung cancer and other diseases more than it decreases the risk of Parkinson’s disease. One study focusing on coffee

1The full names of these chemicals are 1-methyl-4 phenyl-1,2,3,6-tetrahydropyridine and 1-methyl-4-phenylpyridinium ion. (Let’s hear it for abbreviations.)

STOP & CHECK 20. How does MPTP exposure influence the likelihood of Parkin-

son’s disease? What are the effects of cigarette smoking?

ANSWER

20. Exposure to MPTP can induce symptoms of Parkin- son’s disease. Cigarette smoking is correlated with decreased risk of the disease.

L-Dopa Treatment Because Parkinson’s disease results from a dopamine defi- ciency, a logical goal is to restore the missing dopamine. A dopamine pill would be ineffective because dopamine does not cross the blood–brain barrier. Physicians in the 1950s and 1960s reasoned that L-dopa, a precursor to dopamine that does cross the barrier, might be a good treatment. In contrast to all the medicines that were discovered by trial and error, this was the first drug in psychiatry or neurology, and one of the first in all of medicine, to emerge from a plausible theory. Taken as a daily pill, L-dopa reaches the brain, where neurons convert it to dopamine. L-dopa is still the most common treat- ment for Parkinson’s disease.

However, L-dopa treatment is disappointing in several ways (Obeso et al., 2008). It increases dopamine release in all axons, including those that had deteriorated and those that were still functioning normally. It produces spurts of high re- lease alternating with lower release. Even if it adequately re- places lost dopamine, it does not replace other transmitters that are also depleted (Tritsch, Ding, & Sabatinni, 2012). It does not slow the continuing loss of neurons. And it produces unpleasant side effects such as nausea, restlessness, sleep problems, low blood pressure, repetitive movements, and sometimes hallucinations and delusions.

Other Therapies Given the limitations of L-dopa, researchers have sought al- ternatives and supplements. The most common choices are drugs that directly stimulate dopamine receptors and drugs that block the metabolic breakdown of dopamine. To vary- ing degrees, these drugs reduce the symptoms, although none of them halt the underlying disease. In some cases, these drugs provoke impulsive or compulsive behaviors (Wylie et al., 2012). In advanced cases, physicians sometimes implant electrodes to stimulate areas deep in the brain (de Hemptinne et al., 2015). Exactly why that procedure helps is uncertain. One hypothesis is that people with Parkinson’s disease have

08202_ch07_ptg01.indd 250 9/14/17 10:02 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.3 Movement Disorders 251

The research on brain transplants has suggested yet an- other possibility for treatment. In several experiments, the transplanted tissue failed to survive, but the recipient showed behavioral recovery anyway (Redmond et al., 2007). Presum- ably, the transplanted tissue released neurotrophins that stimulated axon and dendrite growth in the recipient’s own brain. Work with mice has shown promising results for a neu- rotrophin to repair Parkinson-like damage (Airavaara et al., 2012). Applying that procedure to humans would still require surgery to deliver the neurotrophin, as neurotrophins do not cross the blood–brain barrier.

excessive synchrony of firing in the basal ganglia, and the stimulation breaks up unhealthy rhythms.

A potentially exciting strategy has been “in the experi- mental stage” since the 1980s. In a pioneering study, M. J. Perlow and colleagues (1979) injected the chemical 6-OHDA (6-hydroxydopamine, a chemical modification of dopamine) into rats to damage the substantia nigra of one hemisphere, producing Parkinson’s-type symptoms on the opposite side of the body. After the movement abnormalities stabilized, the experimenters transplanted substantia nigra tissue from rat fetuses into the damaged brains. Most recipients recovered much of their normal movement within four weeks. Control animals that suffered the same brain damage without receiv- ing grafts showed little or no recovery. This is only a partial brain transplant, but still, the Frankensteinian implications are striking.

If such surgery works for rats, might it also for humans? Ordinarily, scientists test any experimental procedure exten- sively with laboratory animals before trying it on humans, but with Parkinson’s disease, the temptation was too great. People in the late stages have little to lose and are willing to try almost anything. The obvious problem is where to get the donor tis- sue. Several early studies used tissue from the patients’ own adrenal gland. Although that tissue is not composed of neu- rons, it does produce dopamine. Unfortunately, the adrenal gland transplants seldom produced much benefit (Backlund et al., 1985).

Another possibility is to transplant brain tissue from aborted fetuses. Fetal neurons transplanted into the brain of patients with Parkinson’s sometimes survive for years and make synapses with the patients’ own cells. However, the operation is expensive and difficult, requiring brain tissue from four to eight aborted fetuses. For years, the benefits to the patients were small at best (Freed et al., 2001; Olanow et al., 2003). Results improved when physicians aided survival of the graft by giving drugs to suppress the immune reaction. Occasionally the procedure has been reasonably successful. One 59-year-old man received a transplant from four human embryos into the putamen on the right side of his brain. His condition improved dramatically, and for the next 10 years he had only minor symptoms, while remaining on a low dose of L-dopa. After that, he gradually deteriorated. Still, when he died 24 years after the operation, a postmortem analysis re- vealed that thousands of the transplanted cells still survived, with intact synapses (Li et al., 2016). So, the procedure can work, although it is still far from ideal. The effectiveness de- pends on the age and health of the patients, the number and placement of transplanted cells, the immune response, and other factors (Wenker, Leal, Farías, Zeng, & Pitossi, 2016).

A related approach is to take stem cells—immature cells that are capable of differentiating into other cell types—guide their development so that they produce large quantities of L-dopa, and then transplant them into the brain. The idea sounds promising, but researchers will need to overcome sev- eral difficulties before this might become an effective treat- ment (Bjorklund & Kordower, 2013).

STOP & CHECK 21. How does L-dopa relieve the symptoms of Parkinson’s

disease? 22. In what ways is L-dopa treatment disappointing? 23. What procedure has improved the effectiveness of brain

grafts for treatment of Parkinson’s disease?

ANSWERS

21. L-dopa enters the brain, where neurons convert it to dopamine, thus increasing the supply of a depleted neurotransmitter. 22. L-dopa increases dopamine activity in spurts and in all neurons, not steadily and not just in those that need help. It does not stop the loss of neurons. It has unpleasant side effects. 23. Results improved somewhat after physicians began giving drugs to suppress the immune response.

Huntington’s Disease Huntington’s disease (also known as Huntington disease or Huntington’s chorea) is a severe neurological disorder. The prevalence varies geographically and ethnically. The condition affects about 17 per 100,000 Americans of European ancestry, less than half that many Europeans within Europe itself, prob- ably fewer Africans—although the data for Africa are sparse— and very few Asians (Rawlins et al., 2016).

Motor symptoms usually begin with arm jerks and fa- cial twitches. Then tremors spread to other parts of the body and develop into writhing (M. A. Smith, Brandt, & Shad- mehr, 2000). (Chorea comes from the same root as choreog- raphy. The rhythmic writhing of chorea resembles dancing.) Gradually, the tremors interfere more and more with walk- ing, speech, and other voluntary movements. People lose the ability to develop motor skills (Willingham et al., 1996). The disorder is associated with gradual, extensive brain damage, especially in the basal ganglia but also in the cerebral cortex (Tabrizi et al., 1999) (see Figure 7.21). Because the output from the basal ganglia is inhibitory to the thalamus, damage to the basal ganglia leads to increased activity in motor areas of the thalamus. That increase produces the involuntary jerky movements.

08202_ch07_ptg01.indd 251 9/14/17 3:50 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

252 CHAPTER 7 Movement

the Huntington’s gene is dominant implies that it produces the gain of some undesirable function.

Imagine that as a young adult you learn that your mother or father has Huntington’s disease. In addition to your grief about your parent, you know that you have a 50 percent chance of getting the disease yourself. Would you want to know in advance whether or not you were going to get the disease? Knowing the answer might help you decide whether to have children, whether to enter a career that required many years of education, and so forth. However, getting bad news might not be easy to handle.

In 1993, researchers located the gene for Huntington’s disease on chromosome number 4, a spectacular accomplish- ment for the technology available at the time (Huntington’s Disease Collaborative Research Group, 1993). Now an exami- nation of your chromosomes can reveal with almost perfect accuracy whether or not you will get Huntington’s disease.

The critical area of the gene includes a sequence of bases C-A-G (cytosine, adenine, guanine), which is repeated 11 to 24 times in most people. That repetition produces a string of 11 to 24 glutamines in the resulting protein. People with up to 35 C-A-G repetitions are considered safe from Huntington’s disease. Those with 36 to 38, possibly even 39 or 40, might not get the disease, and if they do, it probably will not mani- fest until old age (Kay et al., 2016). People with more repeti- tions are nearly certain to get the disease, unless they die of other causes earlier. The more C-A-G repetitions someone has, the earlier the probable onset of the disease, as shown in Figure 7.22 (U.S.–Venezuela Collaborative Research Project, 2004). In short, a chromosomal examination predicts not only

People with Huntington’s disease also suffer psycho- logical disorders including apathy, depression, sleeplessness, memory impairment, anxiety, hallucinations and delusions, poor judgment, alcoholism, drug abuse, and sexual disorders ranging from complete unresponsiveness to indiscriminate promiscuity (Shoulson, 1990). In many cases the psycho- logical problems, especially apathy, become apparent up to 10 years before the motor symptoms lead to a diagnosis (Martinez-Horta et al., 2016).

Huntington’s disease can occur at any age, but most often between the ages of 30 and 50. Once the symptoms emerge, both the psychological and motor symptoms grow progres- sively worse and culminate in death.

Figure 7.21 Brain of a normal person (left) and a person with Huntington’s disease (right) The angle of cut through the normal brain makes the lateral ventricle look larger in this photo than it actually is. Even so, note how much larger it is in the patient with Huntington’s disease. The ventricles expand because of the loss of neurons. (Robert E. Schmidt, Washington University)

STOP & CHECK 24. Why does damage to the basal ganglia lead to involuntary

movements?

ANSWER

24. Output from the basal ganglia to the thalamus is inhibitory. After damage to the basal ganglia, the thala- mus, and therefore the cortex, receive less inhibition. Thus, they produce unwanted actions.

Heredity and Presymptomatic Testing For every other disorder we consider in this text, a genetic contribution is present, but no one gene produces a major effect. Huntington’s disease is an exception to that rule. One gene—an autosomal dominant gene (i.e., one not on the X or Y chromosome)—is responsible. As a rule, a mutant gene that causes the loss of a function is recessive. The fact that

4240 44 46 48 50 52 54 56 58 62 64 66 69 76 86

A g

e o

f o

n se

t

Number of C-A-G repeats

20

40

60

80

0

Figure 7.22 Relationship between C-A-G repeats and age of onset of Huntington’s disease For each number of C-A-G repeats, the graph shows the age of onset. The green bars show the range that includes the middle 50 percent of observa- tions, from the 75th percentile to the 25th percentile. The vertical lines show the full range of observations. (Source: From the U.S.-Venezuela Collaborative Research Project (2004). Proceedings of the National Academy of Sciences, USA, 101, pp. 3498–3503.)

08202_ch07_ptg01.indd 252 9/14/17 10:02 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.3 Movement Disorders 253

In the early stages of the disease, it increases neurotransmitter release, sometimes causing overstimulation of the target cells (Romero et al., 2007). Later, the protein forms clusters that impair the neuron’s mitochondria (Panov et al., 2002). It also impairs the transport of chemicals down the axon (Morfini et al., 2009).

Identifying the abnormal huntingtin protein and its cellular functions has enabled investigators to search for drugs that might be helpful. One promising approach is to develop drugs that partially suppress the expression of the gene for huntingtin. Research with animal models has shown favorable results for this possibility (Keiser, Kordasiewicz, & McBride, 2016).

whether someone will get Huntington’s disease but also ap- proximately when. The graph shows a considerable amount of variation in age of onset, especially for those with fewer C-A-G repeats. Evidently other factors besides genes also influence the age of onset, such as stressful experiences, drug or alcohol abuse, and perhaps diet and exercise (Byars, Beglinger, Moser, Gonzalez-Alegre, & Nopoulos, 2012).

Figure 7.23 shows comparable data for Huntington’s dis- ease and seven other neurological disorders. Each of them re- lates to an extended sequence of C-A-G repeats in a gene. An extended sequence of repeats also increases the risk of several other conditions not shown in the figure, including fragile X syndrome and amyotrophic lateral sclerosis (Nelson, Orr, & Warren, 2013). In each case, people with the greatest number of repeats have the earliest onset of disease (Gusella & Mac- Donald, 2000). Those with a smaller number will be older, if they get the disease at all. As a rule, heritability is greater for early-onset disorders than for those with later onset. We also see that pattern for Parkinson’s disease, Alzheimer’s disease, alcoholism, depression, and schizophrenia.

Identification of the gene for Huntington’s disease led to the discovery of the protein that it codes, which has been designated huntingtin. Huntingtin occurs throughout the human body, although its mutant form produces no known harm outside the brain. The mutant form impairs neurons and glia in several ways, including effects on mitochondria and potassium channels (Tong et al., 2014; Yano et al., 2014).

70

60

50

40

30

20

10

0 60 80 100 12040

Huntington’s disease

Machado-Joseph disease

Spinal and bulbar muscular dystrophy

Dentatorubro-pallidoluysian dystrophy

20

A g

e at

o n

se t

(y ea

rs )

Number of C-A-G codons

Figure 7.23 Relationship between C-A-G repeats and age of onset of eight diseases The x axis shows the number of C-A-G repeats; the y axis shows the mean age at onset of disease. The various lines represent Huntington’s disease and seven others. The four unlabeled lines are for four types of spinocerebellar ataxia. The key point is that for each disease, the greater the number of repeats, the earlier the probable onset of symptoms. (Reproduced with permission from “Molecular genetics: Unmasking polyglutamine triggers in neurogenerative disease,” by J. F. Gusella and M. E. MacDonald, Figure.1, p. 111 in Neuroscience, 1, pp. 109–115, copyright 2000 Macmillan Magazines, Ltd.)

STOP & CHECK 25. What procedure enables physicians to predict who will or will

not get Huntington’s disease and to estimate the age of onset?

ANSWER

25. Physicians can count the number of consecutive repeats of the combination C-A-G on one gene on chro- mosome 4. If the number is fewer than 36, the person will not develop Huntington’s disease. For repeats of 36 or more, the larger the number, the more certain the person is to develop the disease and the earlier the probable age of onset.

08202_ch07_ptg01.indd 253 9/14/17 10:02 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

254 CHAPTER 7 Movement

Parkinson’s disease and Huntington’s disease emphasize the point that control of movement is closely related to cogni- tion. People with either condition are likely to suffer apathy, cognitive deficits, and a lack of pleasure and motivation. The

psychological problems often develop before any noticeable motor problems. In short, the mechanisms of movement are also the mechanisms of thought.

Summary 1. Parkinson’s disease and Huntington’s disease both result

from brain deterioration that includes the basal ganglia. 249, 251

2. Parkinson’s disease is characterized by impaired initiation of activity, slow and inaccurate movements, tremor, rigid- ity, depression, and cognitive deficits. 249

3. Parkinson’s disease is associated with the degeneration of dopamine-containing axons from the substantia nigra to the caudate nucleus and putamen. 249

4. Researchers have identified many gene variants that increase the risk of Parkinson’s disease, although none of them by itself has a major effect. 250

5. The chemical MPTP selectively damages neurons in the substantia nigra and leads to the symptoms of Parkinson’s disease. Some cases of Parkinson’s disease may result in part from exposure to toxins. 250

6. The most common treatment for Parkinson’s disease is L-dopa, which crosses the blood–brain barrier and enters neurons that convert it into dopamine. However, the

effectiveness of L-dopa varies, and it produces unwel- come side effects. 250

7. Many other treatments are in use or in the experimental stage, including the transfer of immature neurons into a damaged brain area. 250

8. Huntington’s disease is a hereditary condition marked by deterioration of motor control as well as apathy, depression, memory impairment, and other cognitive disorders. 251

9. By examining a gene on chromosome 4, physicians can determine whether someone is likely to develop Huntington’s disease later in life. The more C-A-G repeats in the gene, the earlier the likely onset of symptoms. 252

10. The gene responsible for Huntington’s disease alters the structure of a protein, known as huntingtin. Inhibiting the production of that protein is a theoretically possible treatment. 253

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

huntingtin 253 Huntington’s disease 251 L-dopa 250

MPP+ 250 MPTP 250

Parkinson’s disease 249 stem cells 251

Haloperidol is a drug that blocks dopamine synapses. What effect would it probably have for Parkinson’s disease?

Thought Question

Module 7.3 End of Module Quiz

1. Deterioration of which axons leads to Parkinson’s disease? A. Axons from the primary motor cortex to the spinal

cord B. Axons from the basal forebrain to the prefrontal cortex

C. Axons from the substantia nigra to the striatum D. Axons from the basal ganglia to the cerebellum

Movement Disorders Affect More than Movement

Module 7.3 In Closing

08202_ch07_ptg01.indd 254 9/15/17 7:00 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

7.3 Movement Disorders 255

2. People with Parkinson’s disease show the greatest impairment with which type of movement? A. Reflexes B. Spontaneous voluntary movements

C. Movements in response to a stimulus D. Movements when other people are around

3. Which of these chemicals damages the brain in a way that resembles Parkinson’s disease? A. Capsaicin B. L-dopa

C. Cannabinol D. MPTP

4. In what way is L-dopa treatment for Parkinson’s disease unusual? A. It produces behavioral benefits without entering the

brain. B. Unlike most drugs, it produces no unpleasant side

effects.

C. The treatment becomes more and more effective over time.

D. It was based on a theory instead of trial and error.

5. What is the most common age of onset for Huntington’s disease? A. Early childhood (3 to 7 years old) B. The teenage years (13 to 19)

C. Middle age (30 to 50) D. Old age (65 to 80)

6. Why does damage to the basal ganglia lead to involuntary movements in Huntington’s disease? A. The damage interrupts inhibitory axons from the

primary motor cortex to the spinal cord. B. The cerebellum takes over the functions of the basal

ganglia, and overcompensates.

C. The person voluntarily tries to overcome the lack of coordination.

D. Basal ganglia damage reduces inhibition of the thalamus.

7. An examination of C-A-G repeats on one gene enables physicians to predict who will develop Huntington’s disease. What else does it help them predict? A. What other diseases the person will get B. The individual’s personality

C. The effectiveness of treatment D. The age of onset of symptoms

Answers: 1C, 2B, 3D, 4D, 5C, 6D, 7D.

Klawans, H. L. (1996). Why Michael couldn’t hit. New York: Freeman. A collection of fascinating sports examples related to the brain and its disorders.

Lashley, K. S. (1951). The problem of serial order in behav- ior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior

(pp. 112–136). New York: Wiley. This classic article in psy- chology is a thought-provoking appraisal of what a theory of movement should explain.

Suggestions for Further Reading

08202_ch07_ptg01.indd 255 9/14/17 10:02 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch08_ptg01.indd 256 9/14/17 2:11 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

257

Module 8.1

Rhythms of Waking and Sleeping Endogenous Rhythms Setting and Resetting the Biological Clock Mechanisms of the Biological Clock In Closing: Sleep–Wake Cycles

Module 8.2

Stages of Sleep and Brain Mechanisms Sleep and Other Interruptions of

Consciousness The Stages of Sleep Paradoxical or REM Sleep Brain Mechanisms of Wakefulness, Arousal,

and Sleep Brain Activity in REM Sleep Sleep Disorders In Closing: Stages of Sleep

Module 8.3

Why Sleep? Why REM? Why Dreams? Functions of Sleep Functions of REM Sleep Biological Perspectives on Dreaming In Closing: Our Limited Self-Understanding

Chapter 8Wakefulness and Sleep

Chapter Outline

After studying this chapter, you should be able to:

1. Define and describe endogenous rhythms. 2. Explain the mechanisms that set and reset

the biological clock. 3. List and characterize the stages of sleep. 4. Describe the brain mechanisms of waking

and sleeping. 5. Discuss several consequences of thinking of

sleep as a localized phenomenon. 6. List several sleep disorders with their

causes. 7. Evaluate possible explanations of the func-

tions of sleep. 8. Describe possible explanations of

dreaming.

Learning Objectives

Opposite:

Sleep is an important part of life for nearly all animals.

(Hoberman Collection/Getty Images)

Anyone deprived of sleep suffers. But if life evolved on another planet with different conditions, could animals evolve life without a need for sleep? Imagine a planet that doesn’t rotate on its axis. Some animals evolve

adaptations to live in the light area, others in the dark area, and still others in

the twilight zone separating light from dark. There would be no need for any

animal to alternate active periods with inactive periods on any fixed schedule

and perhaps no need for prolonged inactive periods. If you were the astronaut

who discovered these sleepless animals, you might be surprised.

Now imagine that astronauts from that planet set out on their first voyage

to Earth. Imagine their surprise to discover animals like us with long inactive

periods resembling death. To someone who hadn’t seen sleep before, it would

seem mysterious indeed. For the purposes of this chapter, let’s adopt their

perspective and ask why animals as active as we are spend a third of our lives

doing so little.

08202_ch08_ptg01.indd 257 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

258

Module 8.1

You are probably not amazed to learn that your body spon-taneously generates its own rhythm of wakefulness and sleep. Psychologists of an earlier era strongly resisted that idea. When radical behaviorism dominated experimental psy- chology during the mid-1900s, many psychologists believed that every behavior could be traced to external stimuli. There- fore, they believed, alternation between wakefulness and sleep must depend on something in the outside world, such as changes in light or temperature. Research as early as that of Curt Richter (1922) implied that the body generates its own cycles of activity and inactivity, but it took decades of research to convince the skeptics. The idea of self-generated rhythms was a major step toward viewing animals as active producers of behaviors.

Endogenous Rhythms An animal that produced its behavior entirely in response to current stimuli would be at a serious disadvantage. Animals often need to anticipate changes in the environment. For ex- ample, migratory birds start flying toward their winter homes before their summer territory becomes too cold. A small bird that waited for the first frost would probably die. Similarly, squirrels begin storing nuts and putting on extra layers of fat in preparation for winter long before food becomes scarce.

Animals’ readiness for a change in seasons comes partly from internal mechanisms. Changes in the light–dark pattern of the day tell a migratory bird when to fly south for the winter, but what tells it when to fly back north? In the tropics, the temperature and amount of daylight are nearly the same throughout the year. Nevertheless, migratory birds fly north at the right time. Even if they are kept in a cage with no clues to the season, they become restless in the spring, and if they are released, they fly north (Gwinner, 1986). Evidently, birds gen- erate a rhythm that prepares them for seasonal changes. We refer to that rhythm as an endogenous circannual rhythm. (Endogenous means “generated from within.” Circannual comes from the Latin words circum, for “about,” and annum, for “year.”)

Animals also produce endogenous circadian rhythms that last about a day. (Circadian comes from the Latin circum, for “about,” and dies, for “day.”) If you go without

Rhythms of Waking and Sleeping

sleep all night—as most college students do, sooner or later—you feel sleepier and sleepier as the night goes on, but as morning arrives, you feel more alert, not less. Especially in the posterior areas of the cerebral cortex, activity corre- lates mainly with your circadian rhythm, and only second- arily with how long you have been awake (Muto et al., 2016).

Figure 8.1 represents the activity of a flying squirrel kept in total darkness for 25 days. Each horizontal line represents one 24-hour day. A thickening in the line represents a period of activity. Even in this unchanging environment, the animal generates a consistent rhythm of activity and sleep. Depend- ing on the individual and the details of the procedure, the self- generated cycle may be slightly shorter than 24 hours, as in Figure 8.1, or slightly longer (Carpenter & Grossberg, 1984).

1

5

10

15

20

25

noon 6 pm midnight Time of day in hours

6 am noon

D ay

s o

f ex

p er

im en

t

Waking period

Sleep period starts earlier each day than the last.

Waking period starts earlier each day than the last.

Figure 8.1 Activity record of a flying squirrel kept in constant darkness The thickened segments indicate periods of activity as measured by a running wheel. Note that this free-running activity cycle lasts slightly less than 24 hours. (Source: From “Phase control of activity in a rodent,” by P. J. DeCoursey, 1960, Cold Spring Harbor Symposia on Quantitative Biology, 25, pp. 49–55. Reprinted by permission of Cold Spring Harbor and P. J. DeCoursey.)

08202_ch08_ptg01.indd 258 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.1 Rhythms of Waking and Sleeping 259

Regardless of whether people started this procedure at 10 a.m. or 5 p.m., most reported their most pleasant mood around 5 p.m. and their least pleasant mood at around 5 a.m. (Murray et al., 2009). These results suggest a biologi- cally driven circadian rhythm in our emotional well-being (see Figure 8.3).

Humans also generate 24-hour wake–sleep rhythms, which we can modify only a little. If we ever send astro- nauts to Mars, they will have to adjust to the Martian day, which lasts about 24 hours and 39 minutes of Earth time. Engineers who were monitoring the Phoenix robot mission on Mars had to live on the Martian schedule, starting work 39 minutes later each day. Most (1315 who were studied) managed to synchronize their biological rhythms to the Martian schedule, although they did not sleep as much as usual, and some of them suffered a loss of alertness (Barger et al., 2012).

Our circadian rhythm does not easily adjust to more severe departures from a 24-hour schedule. Naval person- nel on submarines are cut off from sunlight for months at a time, living under faint artificial light. In many cases, they live on a schedule of 6 hours of work, 6 hours of recreation, and 6 hours of sleep. Even though they try to sleep on this 18-hour schedule, their bodies generate rhythms of alertness and body chemistry that average about 24.3 to 24.4 hours (Kelly et al., 1999).

Circadian rhythms affect much more than just waking and sleeping. We have circadian rhythms in our eating and drinking, urination, hormone secretion, metabolism, sensi- tivity to drugs, and other variables. For example, although we ordinarily think of human body temperature as 37°C, our temperature fluctuates over the course of a day from a low near 36.7°C during the night to almost 37.2°C in late afternoon (see Figure 8.2). We also have circadian rhythms in mood. In one study, young adults recorded their mood throughout the day. Most showed increases in positive mood (happiness) from waking until late afternoon, and then a slight decline until bedtime. In a follow-up study, the same investigators kept young adults awake for 30 consecu- tive hours, starting at either 10 a.m. or 5 p.m., in a labora- tory setting with constant levels of light and temperature.

Figure 8.2 Mean rectal temperatures for nine adults Body temperature reaches its low for the day about 2 hours after sleep onset; it reaches its peak about 6 hours before sleep onset. (Source: From “Sleep-onset insomniacs have delayed temperature rhythms,” by M. Morris, L. Lack, and D. Dawson, 1990, Sleep, 13, pp. 1–14. Reprinted by permission.)

36.6

36.7

36.8

36.9

37.0

37.1

37.2

97.9

98.9

98.0 98.1 98.2 98.3 98.4 98.5 98.6 98.7 98.8

–12 –10 –8 –6 –4 –2 0 2 4 6 8 Hours from sleep onset

R ec

ta l t

em p

er at

ur e

(° C

)

R ec

ta l t

em p

er at

ur e

(° F)

STOP & CHECK 1. What evidence indicates that humans have an internal

biological clock?

ANSWER

1. People who have lived in an environment with a light– dark schedule much different from 24 hours fail to follow that schedule and instead become wakeful and sleepy on about a 24-hour basis.

Setting and Resetting the Biological Clock Our circadian rhythms generate a period close to 24 hours, but they are not perfect. We readjust our internal workings daily to stay in phase with the world. Sometimes, we misadjust them. On weekends, when most of us are freer to set our own schedules, we expose ourselves to lights, noises, and activity at night and then awaken late the next morning. By Monday morning, when the clock on your table indicates 7  a.m., your biological clock may say 5 a.m., and you stagger off to work or school without much pep (Moore-Ede, Czeisler, & Richardson, 1983).

Although circadian rhythms persist without light, your rhythm is not perfect. Unless something resets it from time to time, it would gradually drift away from the correct time. The stimulus that resets the circadian rhythm is referred to by the German term zeitgeber (TSITE-gay-ber), meaning “time-giver.” Light is by far the dominant zeitgeber for land animals (Rusak & Zucker, 1979), whereas the tides are important for some marine animals. In addition to light, other zeitgebers include exercise (Eastman, Hoese, Youngstedt, & Liu, 1995), arousal of any kind (Gritton, Sutton, Martinez, Sarter, & Lee, 2009), meals, and the temperature of the environment (Refinetti, 2000). Social stimuli—that is, the effects of other people—are ineffective as zeitgebers, unless they induce exercise or other vigorous ac- tivity (Mistlberger & Skene, 2004). Although these additional zeitgebers modify the effects of light, they have only weak ef- fects on their own. For example, people who are working in Antarctica during the constant darkness of an Antarctic winter try to maintain a 24-hour rhythm, but they drift away from it. Different people generate slightly different rhythms, until they find it more and more difficult to work together (Kennaway & Van Dorp, 1991). Astronauts in orbit face a special problem: As they orbit the Earth, a 45-minute period of daylight alternates

08202_ch08_ptg01.indd 259 9/14/17 3:52 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

260 Chapter 8 Wakefulness and Sleep

Figure 8.4 Sun time competes with social time On days when people have no obligation to awaken at a particular time, they awaken about half an hour earlier at the eastern edge of Germany than at the western edge. Points along the y axis represent the midpoint between the preferred bedtime and the preferred waking time. Data are for people living in towns and cities with populations less than 300,000. (Source: From “The human circadian clock entrains to sun time,” by T. Roenneberg, C. J. Kumar, and M. Merrow, 2007, Current Biology, 17, pp. R44–R45. Reprinted by permission of the Copyright Clearance Center.)

4.8

4.6

4.4

4.2

4.0

3.8 EastWest

M id

p o

in t

o f

th e

n ig

h t’

s sl

ee p

Particularly impressive evidence for the importance of sunlight comes from a study in Germany. Sunrise occurs at the eastern end of Germany about half an hour earlier than at the western end, even though all people set their clocks to the same time. Researchers asked adults for their preferred times of awak- ening and going to sleep and determined for each person the midpoint of those values. For example, if on weekends and holidays you pre- fer to go to bed at 12:30 a.m. and awaken at 8:30 a.m., your sleep midpoint is 4:30 a.m. Figure 8.4 shows the results. People at the eastern edge have a sleep midpoint about 30 minutes earlier than those at the west, cor- responding to the fact that the sun rises earlier at the eastern edge (Roenneberg, Kumar, & Merrow, 2007). Other researchers reported similar results for Turkey and South Africa (Masal et al., 2015; Shawa & Roden, 2016).

What about blind people, who need to set their circadian rhythms by zeitgebers other than light? The results vary. Some do set their circadian rhythms by noise, temperature, meals, and activity. However, others who are not sufficiently sensitive to these secondary zeitgebers produce circa- dian rhythms that are a little longer than 24 hours. When their cycles are in phase with the clock, all is well, but when they drift out of phase, they experience insomnia at night and sleepiness during the day (Sack & Lewy, 2001). More than half of all blind people report frequent sleep problems (Warman et al., 2011).

2.5

2

1.5

1

0.5

0

–0.5

–1

–1.5

–2

–2.5R ep

o rt

s o

f p

o si

ti ve

m o

o d

, r el

at iv

e to

a n

a ve

ra g

e o

f ze

ro

1 P.M

.

Time (hr)

2

1.5

1

0.5

0

–0.5

–1

–1.5

–2

–2.5R ep

o rt

s o

f p

o si

ti ve

m o

o d

, r el

at iv

e to

a n

a ve

ra g

e o

f ze

ro

Time (hr)

11 A.

M .

9 A.

M .

7 A.

M .

5 A.

M .

3 A.

M .

1 A.

M .

11 P.M

.

9 P.M

.

7 P.M

.

5 P.M

.

3 P.M

.

1 P.M

.

7 P.M

.

9 P.M

.

11 P.M

.

1 A.

M .

3 A.

M .

5 A.

M .

9 A.

M .

11 A.

M .

1 P.M

.

3 P.M

.

5 P.M

.

7 P.M

.

9 P.M

.

Figure 8.3 Reported positive mood over time During 30 hours in an unchanging laboratory environment, the average young adult reported most pleasant mood in the late afternoon or early evening, and the least pleasant mood around 5 to 7 a.m. The pattern was similar for those who started the procedure in the morning (above) or in the evening (below). (Source: From “Nature’s clocks and human mood: The circadian system modulates reward motivation,” by G. Murray, C. L. Nicholas, J. Kleiman, R. Dwyer, M. J. Carrington, N. B. Allen, et al., 2009, Emotion, 9, pp. 705–716.)

with 45 minutes of darkness. If they retreat from the flight deck to elsewhere in the spacecraft, they have constant dim light. As a result, they are not fully alert during their wakeful periods or deeply asleep during rest periods (Dijk et al., 2001). On long as- signments, many of them experience depression and impaired performance (Mallis & DeRoshia, 2005).

Even when we try to set our wake–sleep cycles by the clock, sunlight has its influence. Consider what happens when we shift to daylight saving time in spring. You set your clock to an hour later, and when it shows your usual bedtime, you dutifully go to bed, even though it seems an hour too early. The next morning, when the clock says it is 7 a.m. and time to get ready for work, your brain registers 6 a.m. Most people remain ill rested for days after the shift to daylight saving time. The adjustment is especially difficult for people who were already sleep deprived, including most college students (Lahti et al., 2006; Monk & Aplin, 1980). In fall, when daylight saving time ends, some people have sleep problems then, too (Harrison, 2013).

08202_ch08_ptg01.indd 260 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.1 Rhythms of Waking and Sleeping 261

could be air travel itself. A good control group would have been flight attendants who flew long north–south routes.

Shift Work People who sleep irregularly—such as pilots, medical interns, and shift workers in factories—find that their duration of sleep depends on when they go to sleep. When they have to sleep in the morning or early afternoon, they sleep only briefly, even if they have been awake for many hours (Frese & Harwich, 1984; Winfree, 1983). People who have done shift work for years tend to perform worse than average on cognitive tests, although be- cause the measures are correlational, we cannot be sure of cause and effect (Marquié, Tucker, Folkard, Gentil, & Ansiau, 2015).

People who work on a night shift, such as midnight to 8 a.m., sleep during the day. At least they try to. Even after months or years on such a schedule, many workers adjust in- completely. They continue to feel groggy on the job, they sleep poorly during the day, and their body temperature continues to peak when they are sleeping in the day instead of while they are working at night. In general, night-shift workers have more accidents than day-shift workers.

People who work at night have great difficulty adjusting their circadian rhythm, because most buildings use artificial lighting in the range of 150 to 180 lux, which is only moderately effective in resetting the rhythm (Boivin, Duffy, Kronauer, & Czeisler, 1996). People adjust best to night work if they sleep in a very dark room during the day and work under very bright lights at night, comparable to the noonday sun (Czeisler et al., 1990). Short-wavelength (bluish) light helps to reset the circadian rhythm better than long-wavelength light does (Czeisler, 2013).

Morning People and Evening People Circadian rhythms differ among individuals. Some people (“morning people,” or “larks”) awaken early, reach their peak of productivity early, and become less alert later in the day. Others (“evening people,” or “owls”) warm up more slowly, both literally and figuratively, reaching their peak in the late

STOP & CHECK 2. Why do people at the eastern edge of a time zone awaken

earlier than those at the western edge on their weekends and holidays?

ANSWER

2. The sun rises earlier at the eastern edge than at the western edge. Evidently, the sun controls waking–sleeping schedules even when people follow the same clock time for their work schedule.

Figure 8.5 Jet lag Eastern time is later than western time. People who travel five time zones east fall asleep on the plane and then must awaken when it is morning at their destination but night back home.

(a) Leave New York at 7 P.M. (b) Arrive in London at 7 A.M., which is 2 A.M. in New York

Jet Lag A disruption of circadian rhythms due to crossing time zones is known as jet lag. Travelers complain of sleepiness during the day, sleeplessness at night, depression, and impaired con- centration. All these problems stem from the mismatch be- tween internal circadian clock and external time (Haimov & Arendt, 1999). Most people find it easier to adjust to crossing time zones going west than east. Going west, we stay awake later at night and then awaken late the next morning, already partly adjusted to the new schedule. We phase-delay our cir- cadian rhythms. Going east, we phase-advance to sleep earlier and awaken earlier (see Figure 8.5). Most people find it dif- ficult to go to sleep before their body’s usual time and difficult to wake up early the next day.

Adjusting to jet lag is often stressful. Stress elevates blood levels of the adrenal hormone cortisol, and many studies have shown that prolonged elevations of cortisol damage neurons in the hippocampus, a brain area important for memory. One study examined flight attendants who had spent the previous 5 years making flights across seven or more time zones—such as Chicago to Italy—with mostly short breaks (fewer than 6 days) between trips. On the average, the flight attendants had smaller than average volumes of the hippocampus and sur- rounding structures, and they showed memory impairments (Cho, 2001). These results suggest a danger from repeated ad- justments of the circadian rhythm, although the problem here

08202_ch08_ptg01.indd 261 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

262 Chapter 8 Wakefulness and Sleep

In similar societies after gaining electric lights, people stay awake later and get less sleep (de la Iglesia et al., 2015; Yetish et al., 2015). People who live in a big city, surrounded by bright lights, are more likely to stay up late than are people in rural areas.

The tendency for most young people to be evening types causes problems. In the United States and many other countries, high school classes start at 8:00 a.m. or earlier. Most teenagers are at least a bit drowsy at that time, some more than others. Those who are strongly evening types tend to get lower than average test scores, especially in their morning classes, even if they have average or above-average intelligence (Preckel, Lipn- evich, Anastasiya, Schneider, & Roberts, 2011; Preckel et al., 2013; van der Vinne et al., 2015). Possibly as a result of school frustration, or perhaps just as a result of staying up late, they are more likely than others to use alcohol, overeat, and engage in other risky behaviors (Hasler & Clark, 2013; Roenneberg, Allebrandt, Merrow, & Vetter, 2012). Even beyond the teenage years, morning people report being happier than evening peo- ple, on average, possibly because their biological rhythms are more in tune with their 9-to-5 work schedule (Biss & Hasher, 2012). The morning type versus evening type distinction affects other aspects of behavior also. One study found that morning type people tend to be more moral and honest in the morning, whereas evening type people tend to be more moral and honest in the evening (Gunia, Barnes, & Sah, 2014).

Mechanisms of the Biological Clock How does the body generate a circadian rhythm? Curt Rich- ter (1967) introduced the concept that the brain generates its own rhythms—a biological clock—and he reported that the

afternoon or evening. They tolerate staying up all night bet- ter than morning people do (Taillard, Philip, Coste, Sagaspe, & Bioulac, 2003). Among shift workers, morning people are most impaired when working the night shift and evening peo- ple are most impaired when working the morning shift (Juda, Vetter, & Roenneberg, 2013). Many people are, of course, in- termediate between the two extremes.

A convenient way to classify people is to ask, “On holidays and vacations when you have no obligations, what time is the middle of your sleep?” For example, if you sleep from 1 a.m. un- til 9 a.m. on those days, your middle is 5 a.m. As Figure 8.6 shows, people differ by age. As a child, you almost certainly went to bed early and woke up early. As you entered adoles- cence, you started staying up later and waking up later, when you had the opportunity. The mean preferred time of going to sleep gets later and later until about age 20 and then gradually reverses (Roenneberg et al., 2004). The tendency to stay up later and awaken later during adolescence occurs in every culture that researchers have studied throughout the world (Gradisar, Gardner, & Dohnt, 2011). The same trend also occurs in rats, monkeys, and other species (Hagenauer & Lee, 2012; Wino- cur & Hasher, 1999, 2004), apparently resulting from increased levels of sex hormones (Hagenauer & Lee, 2012; Randler et al., 2012). From a functional standpoint, we can only speculate as to why staying up late and waking up late might be more advan- tageous for adolescents than for children or adults.

So, being a morning person or an evening person depends partly on age. It also depends on genetics and several environ- mental factors, including artificial light. In low-tech societies without electric lights, people go to sleep about three hours after sunset, seldom awaken during the night, and wake up at sunrise.

Figure 8.6 Age differences in circa- dian rhythms People reported the time of the middle of their sleep, such as 3 a.m. or 5 a.m., on days when they had no obligations. (Source: Reprinted from “A marker for the end of adolescence,” by T. Roenneberg et al., Current Biology, 14, pp. R1038–R1039, Figure 1, copyright 2004, with permission from Elsevier.)

10

3

4

5

20 30 40 50 60 Age (years)

Ti m

e o

f th

e m

id d

le o

f sl

ee p

o n

d ay

s w

it h

o ut

o b

lig at

io n

s

Males

Females

08202_ch08_ptg01.indd 262 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.1 Rhythms of Waking and Sleeping 263

biological clock is insensitive to most forms of interference. Blind or deaf animals generate circadian rhythms, although they slowly drift out of phase with the external world. The circadian rhythm remains surprisingly steady despite food or water de- privation, X-rays, tranquilizers, alcohol, anesthesia, lack of oxy- gen, most kinds of brain damage, or the removal of endocrine organs. Even an hour or more of induced hibernation often fails to reset the biological clock (Gibbs, 1983; Richter, 1975). Evidently, the biological clock is a hardy, robust mechanism.

Curt P. Richter (1894–1988) I enjoy research more than eating. (Richter, personal communication)

Figure 8.7 The suprachias- matic nucleus (SCN) of rats and humans The SCN is at the base of the brain, as seen in these coronal sections through the plane of the anterior hypothalamus. Each rat was injected with radioac- tive 2-deoxyglucose, which is absorbed by the most active neurons. A high level of absorp- tion of this chemical produces a dark appearance on the slide. Note the greater activity in SCN neurons of a rat injected during the day (a), than in one injected at night (b). (Source: From “Suprachiasmatic nucleus: Use of 14C-labeled deoxyglu- cose uptake as a functional marker,” by W. J. Schwartz and H. Gainer, 1977, Science, 197, pp. 1089–1091. Reprinted by permission from AAAS/American Association for the Advancement of Science.) (c) A sagittal section through a human brain showing the loca- tion of the SCN and the pineal gland.

(a)

(c)

(b)

Thalamus Cerebral cortex

Corpus callosum

Basal ganglia

Cerebral cortex

Pineal gland

SCN

Suprachiasmatic nucleus

Optic chiasm

Hypothalamus

The Suprachiasmatic Nucleus (SCN) Although cells throughout the body generate circadian rhythms, the main driver of rhythms for sleep and body tem- perature is the suprachiasmatic (soo-pruh-kie-as-MAT-ik) nucleus, or SCN, a part of the hypothalamus (Refinetti & Menaker, 1992). It gets its name from its location just above (“supra”) the optic chiasm (see Figure 8.7). After damage to the SCN, the body’s rhythms become erratic.

The SCN generates circadian rhythms itself in a geneti- cally controlled manner. If SCN neurons are disconnected from the rest of the brain or removed from the body and maintained in tissue culture, they continue to produce a circadian rhythm of action potentials (Earnest, Liang, Ratcliff, & Cassone, 1999; Inouye & Kawamura, 1979). Even a single isolated SCN cell can maintain a circadian rhythm, although interactions among cells sharpen the accuracy of the rhythm (Long, Jutras, Connors, & Burwell, 2005; Yamaguchi et al., 2003).

A mutation in one gene causes hamsters’ SCN to produce a 20-hour instead of 24-hour rhythm (Ralph & Menaker, 1988). Elli

ot t B

la ss

/U ni

ve rs

ity o

f M

as sa

ch us

et ts

a t A

m he

rs t

08202_ch08_ptg01.indd 263 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

264 Chapter 8 Wakefulness and Sleep

eyes are covered with folds of skin and fur. They are evolution- arily adapted to spend most of their lives underground. They have fewer than 900 optic nerve axons compared with 100,000 in hamsters. Even a bright flash of light evokes no startle re- sponse and no measurable change in brain activity. Neverthe- less, light resets their circadian rhythms, enabling them to be awake only at night (de Jong, Hendriks, Sanyal, & Nevo, 1990).

The surprising explanation is that the retinohypotha- lamic path to the SCN comes from a special population of retinal ganglion cells that have their own photopigment, called melanopsin, unlike the ones found in rods and cones (Hannibal, Hindersson, Knudsen, Georg, & Fahrenkrug, 2001; Lucas, Douglas, & Foster, 2001). These special ganglion cells receive some input from rods and cones (Gooley et al., 2010; Güler et al., 2008), but even if they do not receive that input, they respond directly to light (Berson, Dunn, & Takao, 2002). These special ganglion cells are located mainly near the nose, from which they see toward the periphery (Visser, Beersma, & Daan, 1999). They respond to light slowly and turn off slowly when the light ceases (Berson, Dunn, & Takao, 2002). There- fore, they respond to the overall average amount of light, not to instantaneous changes in light. The average intensity over a period of time is, of course, exactly the information the SCN needs to gauge the time of day. These ganglion cells respond mainly to short-wavelength (blue) light. For that reason, ex- posure to television, video games, computers, and so forth, all of which emit mostly short-wavelength light, tends to phase- delay the circadian rhythm and make it difficult to fall asleep at the usual time (Czeisler, 2013).

Researchers surgically removed the SCN from adult hamsters and transplanted SCN tissue from hamster fetuses into the adults. When they transplanted SCN tissue from fetuses with a 20-hour rhythm, the recipients produced a 20-hour rhythm. When they transplanted tissue from fetuses with a 24-hour rhythm, the recipients produced a 24-hour rhythm (Ralph, Foster, Davis, & Menaker, 1990). That is, the rhythm followed the pace of the donors, not the recipients. Again, the results show that the rhythms come from the SCN itself.

STOP & CHECK 3. What evidence strongly indicates that the SCN produces the

circadian rhythm itself?

ANSWER

3. SCN cells produce a circadian rhythm of activity even if they are kept in cell culture isolated from the rest of the body. Also, when hamsters received transplanted SCN neurons, their circadian rhythm followed the pattern of the donor animals.

How Light Resets the SCN Figure 8.7 shows the position of the SCN in the human brain, just above the optic chiasm. A small branch of the optic nerve, known as the retinohypothalamic path, from the retina to the SCN, alters the SCN’s settings.

Most of the input to that path, however, does not come from normal retinal receptors. Mice with genetic defects that destroy nearly all their rods and cones nevertheless reset their biological clocks in synchrony with the light (Freedman et al., 1999; Lucas, Freedman, Muñoz, Garcia-Fernández, & Foster, 1999). Also, consider blind mole rats (see Figure 8.8), whose

Figure 8.8 A blind mole rat Although blind mole rats are blind in other regards, they reset their circa- dian rhythms in response to light. (Source: Courtesy of Eviatar Nevo)

STOP & CHECK 4. How does light reset the biological clock? 5. People who are blind because of cortical damage can still syn-

chronize their circadian rhythm to the local pattern of day and night. Why?

ANSWERS

4. A branch of the optic nerve, the retinohypothalamic path, conveys information about light to the SCN. The axons comprising that path originate from special gan- glion cells that respond to light by themselves, even if they do not receive input from rods or cones. 5. If the retina is intact, melanopsin-containing ganglion cells can still send messages to the SCN, resetting its rhythm.

The Biochemistry of the Circadian Rhythm The suprachiasmatic nucleus produces the circadian rhythm, but how? Research on production of the circadian rhythm began with insects. Studies on the fruit fly Drosophila found several genes responsible for a circadian rhythm (X. Liu et al., 1992; Sehgal, Ousley, Yang, Chen, & Schotland, 1999). Two of these genes, known as period (abbreviated PER) and timeless (TIM), produce the proteins PER and TIM. The concentra- tion of these two proteins, which promote sleep and inactivity,

08202_ch08_ptg01.indd 264 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.1 Rhythms of Waking and Sleeping 265

Melatonin The SCN regulates waking and sleeping by controlling activity levels in other brain areas, including the pineal gland (PIN-ee-al; see Figure 8.7), an endocrine gland located just posterior to the thalamus (Aston-Jones, Chen, Zhu, & Oshinsky, 2001; von Gall et al., 2002). The pineal gland releases the hormone melatonin. Melatonin is a widespread chemical, found in nearly all animals— sponges are the only known exception—as well as in plants and bacteria. In all cases, it is released mostly at night. In diurnal ani- mals like humans, it increases sleepiness. In nocturnal animals, it increases wakefulness, even in such a remote example as the larval form of a marine worm (Tosches, Bucher, Vopalensky, & Arendt, 2014). People who have pineal gland tumors sometimes stay awake for days at a time (Haimov & Lavie, 1996). In addition to regulating sleep and wakefulness, melatonin also helps control the onset of puberty and bodily adjustments to changes of season (such as hibernation).

Melatonin secretion starts to increase about 2 or 3 hours before bedtime. Taking a melatonin pill in the evening has little effect on sleepiness because the pineal gland produces melato- nin at that time anyway. However, people who take melatonin earlier start to become sleepy (Crowley & Eastman, 2013). In the process, it shifts the circadian rhythm such that the person starts to become sleepy earlier than usual the next day also. Melato- nin pills are sometimes helpful for people who travel across time zones and need to sleep at an unaccustomed time.

oscillates over a day, based on feedback interactions among neurons. Early in the morning, the messenger RNA levels re- sponsible for producing PER and TIM start at low concentra- tions. As they increase during the day, they increase synthesis of the proteins, but the process takes time, and so the protein concentrations lag hours behind, as shown in Figure 8.9. As the PER and TIM protein concentrations increase, they feed back to inhibit the genes that produce the messenger RNA mole- cules. Thus, during the night, the PER and TIM concentrations are high, but the messenger RNA concentrations are declin- ing (Nitabach & Taghert, 2008). By the next morning, PER and TIM protein levels are low, the flies awaken, and the cycle is ready to start again. Because the feedback cycle takes about 24 hours, the flies generate a circadian rhythm even in an un- changing environment. However, in addition to the automatic feedback, light activates a chemical that breaks down the TIM protein, thereby increasing wakefulness and synchronizing the internal clock to the external world (Ashmore & Sehgal, 2003).

Why do we care about flies? The reason is that analyz- ing the mechanism in flies told researchers what to look for in humans and other mammals. Mammals have three ver- sions of the PER protein and several proteins closely related to TIM and the others found in flies (Reick, Garcia, Dudley, & McKnight, 2001; Zheng et al., 1999). Mutations in the genes producing PER proteins lead to alterations of sleep schedules. People with certain PER mutations have been found to have a circadian rhythm shorter than 24 hours, as if they were mov- ing about a time zone east every day (Chong, Ptácek, & Fu, 2012; Jones et al., 1999; Zhang et al., 2016). They consistently get sleepy early in the evening and awaken early in the morn- ing. Most people look forward to days when they can stay up late. People with an altered PER gene look forward to times when they can go to bed early. Most people with this sleep abnormality suffer from depression (Xu et al., 2005). As we see again in Chapter 14, sleep impairments and depression are closely linked. Other known mutations shorten the amount of sleep needed per day or impair people’s ability to rebound from temporary sleep deprivation (Dijk & Archer, 2010; Jones, Huang, Ptácek, & Fu, 2013).

Figure 8.9 Feedback between proteins and genes to control sleepiness In fruit flies (Drosophila), the concentrations of the mRNA levels for PER and TIM oscillate over a day, and so do the proteins that they produce.

Sunrise SunriseSunset

Day

Wakefulness Sleep Wake

Night

Per and tim mRNA concentrations

PER and TIM protein concentrations

STOP & CHECK 6. How do the proteins TIM and PER relate to sleepiness in

Drosophila?

ANSWER

6. The proteins TIM and PER remain low during most of the day and begin to increase toward evening. They reach high levels at night, promoting sleep. They also feed back to inhibit the genes that produce them, so that their level declines toward morning.

08202_ch08_ptg01.indd 265 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

266 Chapter 8 Wakefulness and Sleep

Sleep–Wake Cycles Module 8.1 In Closing

Unlike an electric appliance that stays on until some- one turns it off, the brain periodically turns itself on and off. Sleepiness is not a voluntary or optional act. We have

biological mechanisms that prepare us to wake at certain times and sleep at other times, even if we would prefer other schedules.

Summary 1. Animals, including humans, have circadian rhythms—

internally generated rhythms of activity and sleep lasting about 24 hours, even in an unchanging environment. It is difficult to adjust to a sleep schedule much different from 24 hours. 258

2. Although the biological clock continues to operate in con- stant light or constant darkness, the onset of light resets the clock. Even when people set their waking and sleeping times by the clock, the timing of sunrise strongly influ- ences their circadian rhythm. 259

3. It is easier for most people to follow a cycle slightly longer than 24 hours (as when traveling west) than to follow a cycle shorter than 24 hours (as when traveling east). 261

4. If people wish to work at night and sleep during the day, the best way to shift the circadian rhythm is to have bright lights at night and darkness during the day. 261

5. Some people are most alert early in the morning, and oth- ers become more alert later in the day. On average, young

adults show the greatest preference for staying awake late and sleeping late the next morning. 261

6. The suprachiasmatic nucleus (SCN), a part of the hypo- thalamus, generates the body’s circadian rhythms for sleep and temperature. 263

7. Light resets the biological clock partly by a branch of the optic nerve that extends to the SCN. Those axons originate from a special population of ganglion cells that respond directly to light in addition to receiving some input from rods and cones. 264

8. The genes controlling the circadian rhythm are almost the same in mammals as in insects. Circadian rhythms result from a feedback cycle based on genes that produce the proteins PER and TIM, and the ability of those proteins to inhibit the genes that produce them. 264

9. The SCN controls the body’s rhythm partly by directing the release of melatonin by the pineal gland. The hormone melatonin increases sleepiness; if given at certain times of the day, it can also reset the circadian rhythm. 265

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

endogenous circadian rhythms 258 endogenous circannual rhythm 258 jet lag 261

melatonin 265 pineal gland 265 suprachiasmatic nucleus (SCN) 263

zeitgeber 259

Module 8.1 End of Module Quiz

1. Workers on certain submarines work 6 hours, relax 6 hours, and then sleep 6 hours. After weeks on this schedule, what hap- pens to their circadian rhythm? A. It adjusts to produce an 18-hour rhythm. B. It continues producing the usual 24-hour rhythm.

C. It produces a rhythm intermediate between 18 and 24 hours.

D. It stops producing any rhythm at all.

Why would evolution have enabled blind mole rats to synchronize their SCN activity to light, even though they cannot see well enough to make any use of the light?

Thought Question

08202_ch08_ptg01.indd 266 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

2. Why do people in Antarctica during the winter often find it difficult to work together? A. Their work schedules keep them so busy that they

cannot sleep enough. B. Their circadian rhythms drift out of phase with one

another.

C. After living together in close quarters for so long, they start to irritate one another.

D. They get homesick.

3. For most young adults, what happens to mood as a function of time of day? A. Mood tends to be most pleasant early in the

morning. B. Mood tends to be most pleasant around noon.

C. Mood tends to be most pleasant in late afternoon or early evening.

D. Mood fluctuates, but on average is about the same for one time as for another.

4. Why do people in eastern Germany awaken earlier, on average, than those in western Germany? A. The sun rises earlier in eastern Germany. B. Eastern Germany is in a different time zone.

C. A gene that inactivates melatonin is more common in eastern Germany.

D. A gene that inactivates melatonin is more common in western Germany.

5. Why do many high school students get worse test grades in the morning than in the afternoon? A. Most schools schedule the math and science courses

mainly in the morning. B. Teenagers tend to stay up late and awaken late.

C. Many teenagers do not eat a healthy breakfast. D. Many high schools are not adequately heated during

the morning.

6. What evidence most strongly indicates that the SCN produces the circadian rhythm itself? A. Damage to the SCN disrupts the circadian rhythm. B. SCN cells isolated from the body continue to pro-

duce a circadian rhythm.

C. Animals with a faster circadian rhythm have a larger SCN.

D. The SCN increases its activity during wakeful periods and decreases it during sleep.

7. Light can reset the SCN’s rhythm even after damage to all rods and cones. Why? A. The SCN itself responds to light. B. The SCN receives input from the pineal gland.

C. The SCN receives input from skin cells that respond to light.

D. The SCN receives input from ganglion cells that respond to light.

8. If you want to get to sleep on time, what should you avoid? A. Long-wavelength light late in the evening B. Short-wavelength light late in the evening

C. Long-wavelength light early in the morning D. Short-wavelength light early in the morning

9. After the proteins TIM and PER reach a high level during the day, what causes their level to decrease at night? A. High levels of the proteins inhibit the genes that

produce these proteins. B. The genes that produce these proteins become less

active when temperature drops.

C. Rapid production of the proteins depleted the supply of the amino acids needed to make them.

D. Decreased light stimulation decreases excitatory transmission throughout the nervous system.

10. When is melatonin mostly released? A. At night, for all species B. During the day, for all species

C. At night for species active at night; during the day for species active during the day

D. At night for species active during the day; during the day for species active at night

Answers: 1B, 2B, 3C, 4A, 5B, 6B, 7D, 8B, 9A, 10A.

8.1 Rhythms of Waking and Sleeping 267

08202_ch08_ptg01.indd 267 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

268

Module 8.2

until someone has shown no sign of brain activity for 24 hours before pronouncing brain death, at which point most people believe it is ethical to remove life support.

The Stages of Sleep Nearly every scientific advance comes from new or improved measurements. Researchers did not even suspect that sleep has stages until they accidentally measured them. The electroencephalograph (EEG), as described in Chapter 3, records an average of the electrical potentials of the cells and fibers in the brain areas nearest to each electrode on the scalp (see Figure 8.10). If half the cells in some area increase their electrical potentials while the other half decrease, they cancel out. The EEG record rises or falls when most cells do the same thing at the same time. You might compare it to a record of the noise in a sports stadium: It shows only slight fluctuations until some event gets everyone yelling at once. The EEG enables brain researchers to monitor brain activity during sleep.

Figure 8.11 shows data from a polysomnograph, a com- bination of EEG and eye-movement records, for a college student during various stages of sleep. Figure 8.11a presents a period of relaxed wakefulness for comparison. Note the steady series of alpha waves at a frequency of 8 to 12 per second. Alpha waves are characteristic of relaxation, not of all wakefulness.

Suppose you buy a new battery-powered toy. After you play with it for 4 hours, it suddenly stops. You wonder whether the batteries are dead or whether the toy needs repair. Later, you discover that this toy always stops after playing for 4 hours but it operates again a few hours later even without repairs or a battery change. You begin to suspect that the manufac- turer designed it to prevent you from playing with it all day. Now you try to find the device that turns it off. You are asking a new question. If you thought that the toy stopped because it needed repairs or new batteries, you would not ask which device turned it off.

Similarly, if we think of sleep as something like wearing out a machine, we do not ask which part of the brain produces it. But if we think of sleep as a specialized state evolved to serve particular functions, we look for the mechanisms that regulate it.

Sleep and Other Interruptions of Consciousness Let’s start with some distinctions. Sleep is a state that the brain actively produces, characterized by decreased activity and de- creased response to stimuli. In contrast, coma (KOH-muh) is an extended period of unconsciousness caused by head trauma, stroke, or disease. Someone in a coma has a low level of brain activity and little or no response to stimuli. A strong pinch or a loud noise can awaken a sleeping person but not someone in a coma. Typically, someone in a coma either dies or begins to recover within a few weeks.

Someone in a vegetative state alternates between peri- ods of sleep and moderate arousal, although even during the more aroused state, the person shows no awareness of sur- roundings and no purposeful behavior. Breathing is more reg- ular, and a painful stimulus produces at least the autonomic responses of increased heart rate, breathing, and sweating. A minimally conscious state is one stage higher, with brief pe- riods of purposeful actions and a limited amount of speech comprehension. A vegetative or minimally conscious state can last for months or years.

Brain death is a condition with no sign of brain activ- ity and no response to any stimulus. Physicians usually wait

Stages of Sleep and Brain Mechanisms

Figure 8.10 Sleeping person with electrodes in place on the scalp for recording brain activity

RG B

Ve nt

ur es

/S up

er St

oc k/

Al am

y St

oc k

Ph ot

o

08202_ch08_ptg01.indd 268 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.2 Stages of Sleep and Brain Mechanisms 269

with one another, the EEG is full of short, rapid, choppy waves. During slow-wave sleep, input to the cerebral cortex is greatly inhibited, and most cells synchronize their activity.

In Figure 8.11b, sleep has just begun. During this period, called stage 1 sleep, the EEG is dominated by irregular, jag- ged, low-voltage waves. Brain activity is less than in relaxed wakefulness but higher than in other sleep stages. As Figure 8.11c shows, the prominent characteristics of stage 2 are K-complexes and sleep spindles. A K-complex is a sharp wave associated with temporary inhibition of neuronal firing (Cash et al., 2009). A sleep spindle is a burst of 12- to 14-Hz waves for at least half a second. Sleep spindles result from oscillat- ing interactions between cells in the thalamus and the cortex. Sleep spindles increase in number after new learning, and the number of sleep spindles correlates positively with improve- ments in certain types of memory (Eschenko, Mölle, Born, & Sara, 2006; Mednick et al., 2013; Hennies, Ralph, Kempkes, Cousins, & Lewis, 2016). Evidently the sleep spindles repre- sent activity related to the consolidation of memory. Most people are fairly consistent in their amount of spindle activity from one night to another, and the amount of spindle activ- ity correlates more than 0.7 with nonverbal tests of IQ (Fogel, Nader, Cote, & Smith, 2007). Who would have guessed that brain waves during sleep could predict IQ scores?

During slow-wave sleep, heart rate, breathing rate, and brain activity decrease, whereas slow, large-amplitude waves become more common (see Figures 8.11d and e). Older sources distinguished between stage 3 sleep (Figure 8.11d) with fewer slow waves, and stage 4 (Figure 8.11e) with more of them.

Slow waves indicate that neuronal activity is highly syn- chronized. In stage 1 and in wakefulness, the cortex continues substantial activity. Because most neurons are out of phase

Figure 8.11 Polysomnograph records from a college student For each of these records, the top line is the EEG from one electrode on the scalp. The middle line is a record of eye movements. The bottom line is a time marker, indicating 1-sec- ond units. Note the abundance of slow waves in slow-wave sleep. (Source: Records provided by T. E. LeVere)

(a) Relaxed, awake

(b) Stage 1 sleep

K-complexSleep spindle

(c) Stage 2 sleep

(d) Slow-wave sleep

(e) Slow-wave sleep

(f) REM, or “paradoxical” sleep

STOP & CHECK 7. What do large, slow waves on an EEG indicate?

ANSWER 7. Large, slow waves indicate a low level of activity, with much synchrony of response among neurons.

Paradoxical or REM Sleep Many discoveries occur when researchers stumble upon some- thing by accident. In the 1950s, the French scientist Michel Jouvet was trying to test the learning abilities of cats after removal of the cerebral cortex. Because, as you can imagine, decorticate mammals don’t do much, Jouvet recorded slight movements of the muscles and EEGs from the hindbrain. He noticed that dur- ing certain periods of apparent sleep, the cats’ brain activity was relatively high, but their neck muscles were completely relaxed. Jouvet (1960) then recorded the same phenomenon in normal, intact cats and named it paradoxical sleep because it is deep sleep in some ways and light in others. (The term paradoxical means “apparently self-contradictory.”)

Meanwhile, in the United States, Nathaniel Kleitman and Eugene Aserinsky were observing eye movements to

08202_ch08_ptg01.indd 269 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

270 Chapter 8 Wakefulness and Sleep

sleep back to stage 2 and then REM. The sequence repeats, with each cycle lasting about 90 minutes. (Some people have inferred that because a cycle lasts 90 minutes, you need to sleep at least 90 minutes to get any benefit. No evidence sup- ports that claim.)

Early in the night, slow-wave sleep predominates. As time passes, REM occupies an increasing percentage of the time. Figure 8.12 shows typical sequences for young adults. The amount of REM depends on time of day more than how long you have been asleep. That is, if you go to sleep later than usual, you still increase your REM at about the same time that you would have ordinarily (Czeisler, Weitzman, Moore-Ede, Zimmerman, & Knauer, 1980).

The pattern of sleep stages varies as a function of age, health, and other factors. Figure 8.13 compares sleep for a typical young adult and a typical older adult. The older adult has less slow-wave sleep and many more awakenings dur- ing the night (Scullin & Bliwise, 2015). The results vary from one older adult to another, depending on health and other factors (Mander et al., 2015). The frequency of awakenings correlates with loss of cells in the hypothalamus, and with a tendency toward cognitive decline (Blackwell et al., 2014; Lim et al., 2014).

Shortly after the discovery of REM, researchers believed it was almost synonymous with dreaming. William Dement and Nathaniel Kleitman (1957b) found that people who were awakened during REM reported dreams 80 percent to 90 percent of the time. Later research, however, found that people awakened during non-REM sleep sometimes report dreams also. REM dreams are more likely than NREM dreams to include visual imagery and complicated plots, but not always. Some people continue to report dreams despite an apparent lack of REM (Solms, 1997). In short, REM is not the same thing as dreaming.

measure the onset and offset of sleep, assuming that eye movements stop during sleep. After someone fell asleep, they turned the machine off for most of the night because the recording paper was expensive and they did not expect to see anything interesting in the middle of the night anyway. When they occasionally turned on the machine during the night and saw evidence of eye movements, they at first assumed that something was wrong with their machines. Only after re- peated careful measurements did they conclude that periods of rapid eye movements occur during sleep (Dement, 1990). They called these periods rapid eye movement (REM) sleep (Aserinsky & Kleitman, 1955; Dement & Kleitman, 1957a), and soon realized that REM sleep was synonymous with what Jouvet called paradoxical sleep. Researchers use the term REM sleep when referring to humans but often pre- fer the term paradoxical sleep for species that lack eye movements. The stages other than REM are known as non-REM (NREM) sleep.

During paradoxical or REM sleep, the EEG shows irregu- lar, low-voltage fast waves that indicate increased neuronal activity. In this regard, REM sleep is light, and similar to stage 1 except for the eye movements, as shown in Figure 8.11f. However, the postural muscles of the body, including those that support the head, are more relaxed during REM than in other stages. In this regard, REM is deep sleep. REM is also associated with erections in males and vaginal moistening in females. Heart rate, blood pressure, breathing rate, and facial twitches fluctuate during REM more than in other stages. In short, REM sleep combines aspects of deep sleep, light sleep, and features that are difficult to classify as deep or light.

When you fall asleep, you start in stage 1 and slowly prog- ress to stage 2 and then into slow-wave sleep, although loud noises or other intrusions can interrupt the progress. After about an hour of sleep, you begin to cycle from slow-wave

Figure 8.12 Sleep stages on three nights Columns indicate awake, stage 2, slow-wave sleep, and REM. Deflections in the line at the bottom of each chart indicate shifts in body position. Note that slow-wave sleep occurs mostly in the early part of the night’s sleep, whereas REM sleep becomes more prevalent later. (Based on Dement & Kleitman, 1957a)

11 P.M. 12 P.M. 1 A.M. 2 A.M. 3 A.M. 4 A.M. 5 A.M. 6 A.M.

11 P.M. 12 P.M. 1 A.M. 2 A.M. 3 A.M. 4 A.M. 5 A.M.

11 P.M. 12 P.M. 1 A.M. 2 A.M. 3 A.M. 4 A.M. 5 A.M. 6 A.M.

2

RE M

RE M

RE M

RE M2 2 2 2 2 2 ASS2SS2A

S S

RE M

RE M

RE MS S2 2 2 2 2 2 AA

S SS

RE M

RE M

RE M

RE MS S2 2 2 2 2 2 2 2 A A2 22A

08202_ch08_ptg01.indd 270 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.2 Stages of Sleep and Brain Mechanisms 271

suppose a simple explanation: The cut isolated the brain from the sensory stimuli that come up from the medulla and spinal cord. However, if a researcher cuts each individual tract that enters the medulla and spinal cord, thus depriving the brain of the sensory input, the animal still has normal periods of wake- fulness and sleep. Evidently, the midbrain does more than just relay sensory information. It has its own mechanisms to pro- mote wakefulness.

A cut through the midbrain decreases arousal by dam- aging the reticular formation, a structure that extends from the medulla into the forebrain. Some neurons of the reticu- lar formation have axons ascending into the brain, and some have axons descending into the spinal cord. Those with ax- ons descending into the spinal cord form part of the medial tract of motor control, as discussed in Chapter 7. In 1949, Giuseppe Moruzzi and H. W. Magoun proposed that the reticular formation neurons with ascending axons are well suited to regulate arousal. The term reticular (based on the Latin word rete, meaning “net”) describes the widespread connections among neurons in this system. One part of the reticular formation that contributes to cortical arousal is known as the pontomesencephalon (Woolf, 1996). (The term derives from pons and mesencephalon, or “midbrain.”) These neurons receive input from many sensory systems and also generate activity of their own, varying with the circadian rhythm. Their axons extend into the forebrain, as shown in Figure 8.14. Axons from some of the cells release GABA, which inhibits or interrupts behavior and promotes slow-wave sleep (Anaclet et al., 2014; Giber et al., 2015). Ax- ons from other cells release acetylcholine, glutamate, or do- pamine, producing arousal in the hypothalamus, thalamus, and basal forebrain. These transmitters produce wakeful- ness partly by regulating the levels of potassium and other ions that produce a constant state of arousal. After the ions are in a state that supports arousal, they tend to remain at a stable concentration. For that reason, waking up is generally faster than falling asleep (Ding et al., 2016).

Brain Mechanisms of Wakefulness, Arousal, and Sleep Any animal needs to regulate its level of alertness carefully. Maintaining maximum alertness at all times would waste energy. Becoming completely unresponsive would be risky. Many brain areas participate in the control of sleep and wakefulness.

Brain Structures of Arousal and Attention After a cut through the midbrain separates the forebrain and part of the midbrain from all the lower structures, an animal enters a prolonged state of sleep for the next few days. Even af- ter weeks of recovery, the wakeful periods are brief. We might

William Dement The average person would not, at first blush, pick watching people sleep as the most apparent theme for a spine-tingling scientific adventure thriller. However, there is a subtle sense of awe and mystery sur- rounding the “short death” we call sleep. (Dement, 1972, p. xi)

STOP & CHECK 8. How can an investigator determine whether a sleeper is in

REM sleep? 9. During which part of a night’s sleep is REM most common?

ANSWERS

8. Examine EEG pattern and eye movements. 9. REM becomes most common toward the end of the night’s sleep.

10 P.M. 12 A.M. 2 A.M. 4 A.M. 6 A.M.

10 P.M. 12 A.M. 2 A.M.

Young Adult

Older Adult 4 A.M. 6 A.M.

RE M

RE M

RE M

RE M

RE M

RE M

RE M

RE M

RE M

A AAAAAAAAAAA1 1 1 1 1 1 112 2 2 2 2 2 222S S S

A AA1 2 2 2 2 2 2 2 2 2 2S S S S

Figure 8.13 Typical sleep stages for a young adult and an older adult Columns indicate awake, stage 1, stage 2, slow-wave sleep, and REM. Note that the older adult has less slow-wave sleep and more frequent awakenings. Based on data from Scullin & Bliwise (2015).

W ill

ia m

D em

en t

08202_ch08_ptg01.indd 271 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

272 Chapter 8 Wakefulness and Sleep

information and enhanced memory (Eldar, Cohen, & Niv, 2013).

The hypothalamus has intermingled neurons, some that promote wakefulness and some that promote sleep (Konad- hode, Pelluru, & Shiromani, 2015). One axon pathway from the hypothalamus releases the excitatory neurotransmitter hista- mine (Lin, Hou, Sakai, & Jouvet, 1996), which enhances arousal and alertness throughout the brain (Panula & Nuutinen, 2013). Many antihistamine drugs, often used for allergies, counteract this transmitter and produce drowsiness. Antihistamines that do not cross the blood–brain barrier avoid that side effect.

The locus coeruleus (LOW-kus ser-ROO-lee-us; liter- ally, “dark blue place”), a small structure in the pons, is usu- ally inactive, especially during sleep, but it emits bursts of impulses in response to meaningful events, especially those that produce emotional arousal (Sterpenich et al., 2006). Axons from the locus coeruleus release norepinephrine widely throughout the cortex, so this tiny area has a huge influence. Output from the locus coeruleus increases what engineers call “gain.” That is, it increases the activity of the most active neurons and decreases the activity of less ac- tive neurons. The result is enhanced attention to important

Figure 8.14 Brain mechanisms of sleeping and waking Green arrows indicate excitatory connections. Red arrows indicate inhibitory connections. (Source: Based on J.-S. Lin, Hou, Sakai, & Jouvet, 1996; Robbins & Everitt, 1995; Szymusiak, 1995.)

Pontomesencephalon Dorsal raphe

Hypothalamus

Basal forebrain

Norepinephrine

Locus coeruleus

08202_ch08_ptg01.indd 272 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.2 Stages of Sleep and Brain Mechanisms 273

(Andrillon, Poulsen, Hansen, Léger, & Kouider, 2016). During any stage, an intense enough stimulus produces arousal.

During sleep, spontaneously active neurons continue fir- ing at only slightly less than their usual rate. How, then, do we remain unconscious in spite of sustained neuronal activ- ity? The answer is inhibition. During sleep, axons that release the inhibitory neurotransmitter GABA increase their activity, interfering with the spread of information from one neuron to another (Massimini et al., 2005). Connections from one brain area to another become weaker (Boly et al., 2012; Esser, Hill, & Tononi, 2009). When stimulation doesn’t spread through the brain, you don’t become conscious of it. (This point arises again in the module about consciousness.)

Because sleep depends on GABA-mediated inhibition, sleep can be local within the brain (Krueger et al., 2008). That is, you might have substantial inhibition in one brain area and not so much in another. Ordinarily, all brain areas wake up or go to sleep at nearly the same time, but not always. Thinking of sleep as a local phenomenon helps make sense of some other- wise puzzling phenomena. Consider sleepwalking, also known by the fancier term somnambulism. Sleepwalkers are asleep in much of the brain, but awake in the motor cortex and a few other areas (Terzaghi et al., 2012). They generally have their eyes open, they orient to the world enough to find their way around, and they often remember some of what they did while sleepwalking. Nevertheless, they are confused and vulnerable to hurting themselves or others, because most of the brain is not alert enough to process information and make reasonable decisions (Zadra, Desautels, Petit, & Montplaisir, 2013).

Another example is lucid dreaming. During lucid dream- ing, someone is dreaming but aware of being asleep and dream- ing. Although most of the brain is asleep, much activity around 40 Hz (cycles per second) occurs in the frontal and temporal cortex (Voss et al., 2014). Evidently that activity enables con- scious monitoring of dreams that the rest of the brain is gener- ating. Someone having a lucid dream can control the content of the dream to some extent, as well as eye movements. In one study, young adults who had frequent lucid dreams learned to use their eye movements to signal the onset of a lucid dream. When they had lucid dreams about moving their hands, activ- ity increased in the areas of motor cortex responsible for pre- paring for an actual hand movement (Dresler et al., 2011).

Another example: Have you ever had the experience of waking up but finding that you cannot move your arms or legs? During REM sleep, cells in the pons and medulla send messages that inhibit the spinal neurons that control the body’s large muscles (Brooks & Peever, 2012). A cat with dam- age to those cells moves around awkwardly during REM sleep, as if it were acting out its dreams (Morrison, Sanford, Ball, Mann, & Ross, 1995; see Figure 8.15). Ordinarily, when you awaken from a REM period, those cells in the pons shut off quickly and you regain muscle control. But occasionally, most of the brain wakes up while the pons remains in REM. The result is your experience of being temporarily paralyzed—a disturbing experience, if you don’t understand it (Cheyne & Pennycook, 2013).

Another pathway from the hypothalamus, mainly from the lateral and posterior nuclei of the hypothalamus, releases a peptide neurotransmitter called either orexin or hypocretin. The reason for two names is that two research teams discov- ered this chemical almost simultaneously in 1998, and gave it different names. For simplicity, this text will stick to the term orexin, but if you find the term hypocretin elsewhere, it means the same thing. The axons releasing orexin extend from the hypothalamus to the basal forebrain and many other areas, enhancing wakefulness and activity (Sakurai, 2007). Orexin is not necessary for waking up, but it is for staying awake. That is, most adult humans stay awake for roughly 16 to 17 hours at a time, even when nothing much is happening. Staying awake depends on orexin, especially toward the end of the day (Lee, Hassani, & Jones, 2005). Mice lacking orexin alternate between waking and sleeping, even during an activity that usually sus- tains arousal, such as running in a running wheel (Anaclet et al., 2009). Optogenetic inhibition of orexin neurons causes mice to go quickly into slow-wave sleep (Tsunematsu, Kilduff, Boyden, Takahashi, & Yamanaka, 2011).

Drugs that block orexin receptors help people go to sleep (Kukkonen, 2013; Uslaner et al., 2013). The United States Food and Drug Administration has approved one such drug, suvorexant.

Other pathways from the lateral hypothalamus regulate cells in the basal forebrain (an area just anterior and dorsal to the hypothalamus). Basal forebrain cells provide axons that extend throughout the thalamus and cerebral cortex, some of them increasing wakefulness and others inhibiting it (Xu et al., 2015) (see Figure 8.14). Acetylcholine stimulates the basal forebrain cells that promote wakefulness, although those cells release other transmitters to the cortex (Zant et al., 2016).

STOP & CHECK 10. Why do most antihistamines make people drowsy? 11. What would happen to the sleep–wake schedule of someone

who lacked orexin?

ANSWERS

10. A pathway from the hypothalamus uses histamine as its neurotransmitter to increase arousal. Antihistamines that cross the blood–brain barrier block those synapses. 11. Someone without orexin would alternate between brief periods of waking and sleeping.

Sleep and the Inhibition of Brain Activity Sleep depends partly on decreased sensory input to the cerebral cortex. During sleep, neurons in the thalamus become hyper- polarized, decreasing their readiness to respond to stimuli and decreasing the information they transmit to the cortex (Coenen, 1995). However, although responsiveness decreases, a moderate amount remains. For example, parents usually awaken quickly at the sound of a crying infant. During the lighter stages of non-REM sleep, the brain responds to any meaningful speech

08202_ch08_ptg01.indd 273 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

274 Chapter 8 Wakefulness and Sleep

Brain Activity in REM Sleep Researchers interested in the mechanisms of REM decided to use a PET scan to determine which brain areas increased or decreased their activity during REM. Although that research might sound simple, PET requires injecting a radioactive chemical. Imagine trying to give sleepers an injection with- out awakening them. Further, a PET scan yields a clear image only if the head remains motionless during data collection. If the person tosses or turns even slightly, the blurry image is worthless.

To overcome these difficulties, researchers in two stud- ies persuaded young people to sleep with their heads firmly attached to masks that did not permit any movement. They also inserted a cannula (plastic tube) into each person’s arm so that they could inject radioactive chemicals at various times during the night. So imagine yourself in that setup. You have a cannula in your arm and your head is locked into position. Now try to sleep.

Because the researchers foresaw the difficulty of sleep- ing under these conditions (!), they had their participants stay awake the entire previous night. Someone who is tired enough can sleep even under trying circumstances. (Maybe.)

Now that you appreciate the heroic nature of the pro- cedures, here are the results: During REM sleep, activity in- creased in the pons (which triggers the onset of REM sleep) and the limbic system (which is important for emotional re- sponses). Activity decreased in the primary visual cortex, the motor cortex, and the dorsolateral prefrontal cortex but in- creased in parts of the parietal and temporal cortex (Braun et al., 1998; Maquet et al., 1996). REM sleep is associated with a distinctive pattern of high-amplitude electrical potentials known as PGO waves, for pons-geniculate-occipital (see Figure 8.16). Waves of neural activity are detected first in the pons, shortly afterward in the lateral geniculate nucleus of the thalamus, and then in the occipital cortex (Brooks & Bizzi, 1963; Laurent, Cespuglio, & Jouvet, 1974).

A path of axons from the ventral medulla releasing GABA promotes REM sleep. Exciting or inhibiting these axons can initiate or stop REM. Apparently these axons initiate REM by inhibiting other inhibitory neurons—a case of excitation by a double negative (Weber et al., 2015). Several other trans- mitters also influence REM. Injections of the drug carba- chol, which stimulates acetylcholine synapses, quickly move a sleeper into REM sleep (Baghdoyan, Spotts, & Snyder, 1993). Note that acetylcholine is important for both wakefulness and REM sleep, states of brain arousal. Serotonin and norepineph- rine interrupt REM sleep (Boutrel, Franc, Hen, Hamon, & Adrien, 1999; Singh & Mallick, 1996).

Sleep Disorders How much sleep is enough? Individuals vary genetically in their need for sleep. Mice with one genetic mutation sleep almost four hours per day longer than other mice, and if de- prived of some of that extra sleep, they react just as badly as

Figure 8.15 A cat with a lesion in the pons, wobbling about during REM sleep Cells of an intact pons send inhibitory messages to the spinal cord neurons that control the large muscles. (Source: Morrison, A. R., Sanford, L. D., Ball, W. A., Mann, G. L., & Ross, R. J., “Stimulus-elicited behavior in rapid eye movement sleep without atonia”, Behavioral Neuroscience, 109, pp. 972–979, 1995. Published by APA and reprinted with permission.)

STOP & CHECK 12. What would happen to sleeping and waking if you took a

drug that blocked GABA? 13. Someone who has just awakened sometimes speaks in a

loose, unconnected, illogical way. How could you explain this finding?

ANSWERS

12. You would remain awake, or at least somewhat conscious. (Tranquilizers put people to sleep by facilitat- ing GABA.) 13. People often awaken from a REM period, because REM is abundant toward morning when people usually awaken. Different brain areas don’t wake up all at once. Shortly after awakening, certain brain areas may still be in a REM-like state, and thinking may have an illogical, dreamlike quality.

08202_ch08_ptg01.indd 274 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.2 Stages of Sleep and Brain Mechanisms 275

normal mice that are deprived of part of their sleep. That is, the mutant gene increases their need for sleep (Funato et al., 2016). The average adult human needs 7½ to 8 hours of sleep per night, but some people need more, and a few have been known to do well with as little as 3 hours per night (Jones & Oswald, 1968; Meddis, Pearson, & Langford, 1973). The best gauge of insomnia—inadequate sleep—is how someone feels the following day. If you feel tired during the day, you are not sleeping enough at night. Sleep deprivation impairs memory, attention, and cognition (Scullin & Bliwise, 2015). It also mag- nifies unpleasant emotional reactions and increases the risk of depression (Altena et al., 2016).

Causes of insomnia include noise, uncomfortable tem- peratures, stress, pain, diet, and medications. Insomnia can also be the result of epilepsy, Parkinson’s disease, brain tumors, depression, anxiety, or other neurological or psy- chiatric conditions. Some children suffer insomnia because they are milk-intolerant, and their parents, not realizing the intolerance, give them milk to drink right before bedtime (Horne, 1992). One man suffered insomnia until he real- ized that he dreaded going to sleep because he hated wak- ing up to go jogging. After he switched his jogging time to late afternoon, he slept without difficulty. In short, try to identify the reason for your sleep problems before you try to solve them.

Some cases of insomnia relate to shifts in circadian rhythms (MacFarlane, Cleghorn, & Brown, 1985a, 1985b). Or- dinarily, people fall asleep while their temperature is declin- ing and awaken while it is rising, as in Figure 8.17a. Someone whose rhythm is phase delayed, as in Figure 8.17b, has trouble falling asleep at the usual time, as if the hypothalamus thinks it isn’t late enough (Morris, Lack, & Dawson, 1990). Some- one whose rhythm is phase advanced, as in Figure 8.17c, falls asleep easily but awakens early.

Occipital cortex

Geniculate

O

G

Pons

P

Figure 8.16 PGO waves PGO waves start in the pons (P), and then show up in the lateral genicu- late (G) and the occipital cortex (O). Each PGO wave is synchronized with an eye movement in REM sleep.

Sleep period

Sleep period

Sleep period

3-hr phase delay

3-hr phase advance

(a) Normal circadian rhythm of body temperature

(b) Phase delay

(c) Phase advance

Dif�culty getting to sleep

Dif�culty staying asleep

Figure 8.17 Insomnia and circadian rhythms People with a phase delay have trouble getting to sleep. People with a phase advance have trouble staying asleep.

Another cause of insomnia is, paradoxically, the use of sleeping pills. Frequent use causes dependence and an inabil- ity to sleep without the pills (Kales, Scharf, & Kales, 1978). For most people, drinking coffee during the evening interferes

08202_ch08_ptg01.indd 275 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

276 Chapter 8 Wakefulness and Sleep

Narcolepsy Narcolepsy, a condition characterized by frequent peri- ods of sleepiness during the day, strikes about 1 person in 1,000. It sometimes runs in families, but most cases emerge in people with no affected relatives. The H1N1 flu virus in 2009–2010 caused many cases of narcolepsy (Tesoriero et al., 2016). Narcolepsy has four main symptoms, although not every patient has all four. Each of these symptoms can be interpreted as an intrusion of a REM-like state into wakefulness:

1. Attacks of sleepiness during the day. 2. Occasional cataplexy—an attack of muscle weakness

while the person remains awake. Cataplexy is often trig- gered by strong emotions, such as anger or great excite- ment. (One man suddenly collapsed during his wedding ceremony.)

3. Sleep paralysis—an inability to move while falling asleep or waking up. Many people have experienced sleep paralysis at least once or twice, but people with narcolepsy experience it frequently.

4. Hypnagogic hallucinations—dreamlike experiences that the person has trouble distinguishing from reality, often occurring at the onset of sleep.

The cause relates to the neurotransmitter orexin. People with narcolepsy lack the hypothalamic cells that produce and re- lease orexin (Thannickal et al., 2000). Why they lack them is unknown, but the most likely possibility is an autoimmune reaction, in which the immune system attacks part of the body—in this case, cells with orexin (Hallmayer et al., 2009). Recall that orexin is important for maintaining wakefulness. Consequently, people lacking orexin alternate between short waking periods and short sleepy periods, instead of staying

with sleep. Coffee also phase-delays the circadian rhythm, causing a delay in the release of melatonin (Burke et al., 2015). Ordinarily that delay causes problems, although it might help combat jet lag after traveling west.

Sleep Apnea One type of insomnia is sleep apnea, impaired ability to breathe while sleeping. People with sleep apnea have breath- less periods of a minute or so from which they awaken gasping for breath. They may not remember their awakenings, al- though they certainly notice the consequences, such as sleepi- ness during the day and impaired attention. People with sleep apnea are at increased risk of stroke, heart problems, and other disorders. People with sleep apnea have multiple brain areas that appear to have lost neurons, and consequently, many of them show deficiencies of learning, reasoning, at- tention, and impulse control (Beebe & Gozal, 2002; Macey et al., 2002). These correlational data do not tell us whether the brain abnormalities led to sleep apnea or sleep apnea led to the brain abnormalities. However, research with rodents sug- gests the latter: Mice that are subjected to frequent periods of low oxygen (as if they hadn’t been breathing) lose some neurons and impair others, especially in areas responsible for alertness (Zhu et al., 2007).

Sleep apnea results from several causes, including ge- netics, hormones, and old-age deterioration of the brain mechanisms that regulate breathing. Another cause is obesity, especially in middle-aged men. Many obese men have nar- rower than normal airways and have to compensate by breath- ing frequently or vigorously. During sleep, they cannot keep up that rate of breathing. Furthermore, their airways become even narrower than usual when they adopt a sleeping posture (Mezzanotte, Tangel, & White, 1992).

People with sleep apnea are advised to lose weight and avoid alcohol and tranquilizers (which impair the breathing muscles). The most common treatment is a mask that cov- ers the nose and delivers air under enough pressure to keep the breathing passages open (see Figure 8.18). That procedure improves sleep and blood pressure, but only slightly decreases the risk of stroke or heart attack, probably because many people continue to be overweight (Guo et al., 2016). Unfortu- nately, the device is uncomfortable and many people refuse to continue wearing it. Surgery to open the breathing spaces can be helpful in some cases, but disappointing in others. Surgery on the jawbone has shown promise in a small number of pa- tients (Tsui, Yang, Cheung, & Leung, 2016).

Figure 8.18 A continuous positive airway pressure (CPAP) mask The mask fits snugly over the nose and delivers air at a fixed pressure, strong enough to keep the breathing passages open. (Russell Curtis/Science Source)

STOP & CHECK 14. What kinds of people are most likely to develop sleep

apnea?

ANSWER

14. Sleep apnea is most common among people with a genetic predisposition, old people, and overweight middle-aged men.

08202_ch08_ptg01.indd 276 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.2 Stages of Sleep and Brain Mechanisms 277

Mice deficient in GABA and other inhibitory neurotrans- mitters show running, jerking, and chewing movements dur- ing REM sleep, and overall disrupted sleep. Because of these similarities to human cases, the results suggest that inad- equate inhibitory transmission may be responsible for REM behavior disorder (Brooks & Peever, 2011).

Night Terrors and Sleepwalking Night terrors are experiences of intense anxiety from which a person awakens screaming in terror. A night terror is more severe than a nightmare, which is simply an unpleasant dream. Night terrors occur during NREM sleep and are more com- mon in children than adults. Dream content, if any, is usually simple, such as a single image.

Sleepwalking runs in families and occurs mostly in chil- dren. Most people who sleepwalk, and many of their rela- tives, have one or more additional sleep difficulties such as chronic snoring, disordered sleep breathing, bed-wetting, and night terrors (Cao & Guilleminault, 2010). The causes of sleepwalking are not well understood, but it is more com- mon when people are sleep deprived or under unusual stress (Zadra & Pilon, 2008). It is most common during slow-wave sleep early in the night and usually not accompanied by dreaming. (It does not occur during REM sleep, when the large muscles are completely relaxed.) Sleepwalking is usu- ally harmless but not always. One teenage girl walked out of her house, climbed a crane, and went back to sleep on a support beam. Fortunately, a pedestrian saw her and called the police. Sleepwalkers have been known to eat, rearrange furniture, fall off balconies, and drive cars—while disre- garding lanes and traffic lights. Unlike wakeful actions, the deeds of sleepwalkers are poorly planned and usually not remembered. Evidently, some parts of the brain are awake and other parts are asleep (Gunn & Gunn, 2007). Inciden- tally, contrary to common sayings, it is not dangerous to awaken a sleepwalker. It is not particularly helpful either, but it is not dangerous.

An analogous condition is sleep sex or “sexsomnia,” in which sleeping people engage in sexual behavior, either with a partner or by masturbation, and do not remember it after- ward. Some cases occur when someone with sleep apnea sud- denly awakens partially and confused during non-REM sleep. One case resulted from a peculiar, apparently unprecedented side effect of an antidepressant drug. Many people with sex- somnia were sleepwalkers as children. Overall, the condition is not well understood (Schenck, 2015).

Sexsomnia poses a threat to romances and marriages. As one woman said, “After getting married a few years ago, my hus- band told me I was masturbating in my sleep. I was mortified, thinking back to all the slumber parties as a girl, and then when I was older and my little sister stayed the night at my house! How many others might have witnessed and not said anything? My new marriage is on the rocks, since I’m having such good sex in my sleep, I have NO desire while I’m awake. This is killing my relationship with my husband” (Mangan, 2004, p. 290).

awake throughout the day. Dogs that lack the gene for orexin receptors have symptoms much like human narcolepsy, with frequent alternations between wakefulness and sleep (Lin et al., 1999). The same is true for mice that lack orexin (Hara, 2001; Mochizuki et al., 2004).

As discussed in Chapter 7, people with Huntington’s dis- ease have widespread damage in the basal ganglia. In addition, most lose neurons in the hypothalamus, including the neu- rons that make orexin. As a result, they have problems stay- ing awake during the day and difficulty staying asleep at night (Morton et al., 2005).

So far no one has developed a drug that specifically ac- tivates orexin receptors. Administering orexin itself is not a good option, because it does not readily cross the blood–brain barrier. The most common treatment is stimulant drugs such as methylphenidate (Ritalin), which enhance dopamine and norepinephrine activity.

STOP & CHECK 15. What is the relationship between orexin and narcolepsy?

ANSWER

15. Orexin is important for staying awake. Therefore, people or animals lacking either orexin or the receptors for orexin develop narcolepsy, characterized by bouts of sleepiness during the day.

Periodic Limb Movement Disorder Another sleep disorder is periodic limb movement disorder, characterized by repeated involuntary movement of the legs and sometimes the arms during sleep. It is distinct from rest- less leg syndrome, in which people often feel an urge to kick a leg even while awake.

Many people, perhaps most, experience an occasional involuntary kick, especially when starting to fall asleep. Leg movements are not a problem unless they become per- sistent. In people with periodic limb movement disorder, mostly middle-aged and older, the legs kick once every 20 to 30 seconds for minutes or hours, mostly during NREM sleep.

REM Behavior Disorder For most people, the major postural muscles are relaxed and inactive during REM sleep. However, people with REM behavior disorder move around vigorously during their REM periods, apparently acting out their dreams. They frequently dream about defending themselves against attack, and they may punch, kick, and leap about. They often injure themselves or other people and damage property (Olson, Boeve, & Silber, 2000).

08202_ch08_ptg01.indd 277 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

278 Chapter 8 Wakefulness and Sleep

1. During sleep, brain activity decreases, but a stimulus can awaken the person. Someone in a coma cannot be awakened. A vegetative state or minimally conscious state can last months or years, during which the person shows only limited responses. Brain death is a condition without brain activity or responsiveness of any kind. 268

2. Over the course of about 90 minutes, a sleeper goes through stages 1, 2, and slow-wave sleep and then returns through stage 2 to a stage called REM (rapid eye movement sleep). 268

3. REM sleep or paradoxical sleep is a condition marked by rapid eye movements, more cortical activity than other sleep, relaxation of the body’s postural muscles, and an increased probability of vivid dreams. 269

4. The brain has multiple systems for arousal. The pon- tomesencephalon, hypothalamus, and basal forebrain include some neurons that promote wakefulness and others that promote sleep. 271

5. The locus coeruleus is active in response to meaningful events. It facilitates attention and new learning. 272

6. Orexin is a peptide that maintains wakefulness. Cells in the lateral and posterior nuclei of the hypothalamus release this peptide. 273

7. During sleep, enhanced release of GABA limits neuronal activity and blocks the spread of activation. Sometimes this suppression is stronger in one brain area than another. Therefore, it is possible for part of the brain to be more awake than another is. 273

8. REM sleep is associated with activity in a number of brain areas, including the pons, limbic system, and parts of the parietal and temporal cortex. Activity decreases in the prefrontal cortex, the motor cortex, and the primary visual cortex. 274

9. REM sleep begins with PGO waves, which are waves of brain activity transmitted from the pons to the lateral geniculate to the occipital lobe. 274

10. People with sleep apnea have long periods without breathing while they sleep. So far, none of the treatments is fully satisfactory. 276

11. People with narcolepsy have attacks of sleepiness during the day. Narcolepsy is associated with a deficiency of the neurotransmitter orexin. 276

12. Sleepwalking and sexsomnia are cases of somewhat purposeful, somewhat confused behaviors during partial arousal from sleep. The person is unlikely to remember the episode later. 277

Stages of Sleep Module 8.2 In Closing

Chemists divide the world into elements, biologists divide life into species, and physicians distinguish one disease from another. Similarly, psychologists try to recognize the most natural or useful distinctions among types of behavior or experience. The discovery of stages of sleep was a major landmark in psychology because researchers found a previ- ously unrecognized distinction that is both biologically and

psychologically important. It also demonstrated that exter- nal measurements—in this case, EEG recordings—can be used to identify internal experiences. We now take it largely for granted that an electrical or magnetic recording from the brain can tell us something about a person’s experience, but it is worth pausing to note what a surprising discovery that was in its time.

Summary

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

alpha waves 268 basal forebrain 273 brain death 268 coma 268 insomnia 275 K-complex 269 locus coeruleus 272 minimally conscious state 268 narcolepsy 276

night terrors 277 non-REM (NREM) sleep 270 orexin (or hypocretin) 273 paradoxical sleep 269 periodic limb movement

disorder 277 PGO waves 274 polysomnograph 268 pontomesencephalon 271

rapid eye movement (REM) sleep 270

REM behavior disorder 277 reticular formation 271 sleep apnea 276 sleep spindle 269 slow-wave sleep (SWS) 269 vegetative state 268

08202_ch08_ptg01.indd 278 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

1. Of the following, which shows the LEAST brain activity? A. Slow-wave sleep B. Coma

C. Vegetative state D. Minimally conscious state

2. Sleep spindles in stage 2 sleep appear to be important for which of the following? A. Consolidation of memory B. Inhibition of impulses

C. Defense mechanisms against anxiety D. Control of body temperature

3. What do the high-amplitude slow waves of slow-wave sleep indicate? A. An increased level of brain activity B. Synchrony among neurons

C. Muscle contractions D. Responses to sensory stimulation

4. Why is REM sleep also known as paradoxical sleep? A. Activity in the left hemisphere does not match the

activity in the right hemisphere. B. We did not know it existed until its discovery in the 1950s.

C. It is deep sleep in some ways and light in others. D. Because a pair of docs discovered it.

5. At which time, if any, is slow-wave sleep most common? A. Immediately after falling asleep B. Not immediately, but during the early part of the

night’s sleep

C. Near the end of the night’s sleep D. During all parts equally

6. What tends to activate the locus coeruleus? A. Stomach contractions B. Conflict between emotions

C. Meaningful information D. Sexual desire

7. What is the role of orexin with regard to wakefulness and sleep? A. It stimulates REM sleep. B. It inhibits the spread of brain activity while someone

is asleep.

C. It helps someone stay awake. D. It is active during switches back and forth between

wakefulness and sleep.

8. Why are people unconscious during slow-wave sleep? A. Inhibitory transmitters block the spread of activity in

the cortex. B. The sensory receptors become unresponsive to

nearly all input.

C. Spontaneous activity ceases in the neurons of the cortex.

D. Circulating hormones block the sodium gates in axon membranes.

9. If you awaken but find you temporarily cannot move your arms or legs, what is happening? A. You are probably developing a severe neurological

disease. B. You are probably just being lazy.

C. You need more time to get the blood flowing to your muscles.

D. Most of your brain is awake, but part of your pons and medulla remain in REM sleep.

10. Of the following, which one is not associated with an increased probability of sleep apnea? A. Having a relative with sleep apnea B. Being female

C. Being overweight D. Being middle-aged

11. Narcolepsy is linked to a deficit of which neurotransmitter? A. Dopamine B. GABA

C. Orexin D. Acetylcholine

Module 8.2 End of Module Quiz

Answers: 1B, 2A, 3B, 4C, 5B, 6C, 7C, 8A, 9D, 10B, 11C.

Unlike adults, infants alternate between short waking periods and short naps. What can we infer about their neurotransmitters?

Thought Question

8.2 Stages of Sleep and Brain Mechanisms 279

08202_ch08_ptg01.indd 279 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

280

Module 8.3

added others later. Even bacteria have circadian rhythms of activity and inactivity (Mihalcescu, Hsing, & Leibler, 2004). What benefit of sleep applies to all species, even those with little or no nervous system?

A likely hypothesis is that sleep’s original function—and still an important one—is to save energy (Kleitman, 1963; Siegel, 2009, 2012). Nearly every species is more efficient at some times of day than at others. Those with good vision are more efficient in the day. Those that rely on other senses in- stead of vision are more efficient at night, when their predators cannot see them. Sleep conserves energy during the inefficient times, when activity would be wasteful and possibly danger- ous. NASA’s Rover spacecraft, built to explore Mars, had a mechanism to make it “sleep” at night to conserve its batter- ies. During sleep, a mammal’s body temperature decreases by 1° or 2°C, enough to save a significant amount of energy. Muscle activity decreases, saving more energy. Animals in- crease their sleep duration during food shortages, when energy conservation is especially important (Berger & Phillips, 1995).

Sleep is therefore in some ways analogous to hibernation. Hibernation is a true need. A ground squirrel that is prevented from hibernating becomes as disturbed as a person who is prevented from sleeping. However, the function of hiberna- tion is simply to conserve energy while food is scarce.

Analogous to Sleep: Hibernation Hibernating animals decrease their body temperature to only slightly above that of the environment, but not low enough for their blood to freeze. Heart rate drops to almost nothing, brain activity drops to almost nothing, neuron cell bodies shrink, and many synapses disappear, regenerating later when body temperature increases (Peretti et al., 2015). A few curi- ous facts about hibernation:

1. Whether or not bears hibernate is a matter of definition. Bears sleep most of the winter, lowering their body tem- perature a few degrees and decreasing their metabolism and heart rate (Tøien et al., 2011), but their state is not as extreme as that of smaller hibernators such as bats and ground squirrels.

2. Hamsters also hibernate, and the pet stores generally do not tell people about it. If you keep your pet hamster in

Why Sleep? Why REM? Why Dreams?

Why do you sleep? “That’s easy,” you reply. “I sleep because I get tired.” Well, yes, but you are not tired in the sense of muscle fatigue. You need almost as much sleep after a day of sitting around the house as after a day of intense physical or mental activity (Horne & Minard, 1985; Shapiro, Bortz, Mitchell, Bartel, & Jooste, 1981). Furthermore, you could rest your muscles just as well while awake as while asleep. (In fact, if your muscles ache after strenuous exercise, you probably find it difficult to sleep.)

You feel tired at the end of the day because inhibitory pro- cesses in your brain force you to become less aroused and less alert. That is, we evolved mechanisms to cause sleep. Why?

Functions of Sleep Sleep serves many functions. During sleep, we rest our mus- cles, decrease metabolism, perform cellular maintenance in neurons (Vyadyslav & Harris, 2013), reorganize synapses, and strengthen memories. People who don’t get enough sleep react more severely than average to stressful events (Minkel et al., 2012). They may develop symptoms of mental illness or may aggravate symptoms they already had (van der Kloet, Merck- elbach, Giesbrecht, & Lynn, 2012). Inadequate sleep is a major cause of accidents by workers and poor performance by col- lege students. Driving while sleep deprived is comparable to driving under the influence of alcohol (Falleti, Maruff, Collie, Darby, & McStephen, 2003). Even one night of sleeplessness activates the immune system (Matsumoto et al., 2001). That is, you react to sleep deprivation as if you were ill. Clearly, we need to sleep. Is there, however, a primary or original reason?

Sleep and Energy Conservation Even if we identified what seems to be the most important function of sleep for humans today, it might not be the func- tion for which sleep originally evolved. By analogy, what is the main function of computers? You might use a computer to write papers, send email, search the Internet, play video games, store and display photographs, play music, or find a date. All of those are valuable functions, but the original pur- pose was to do mathematical calculations. Similarly, sleep probably started with a simple function to which evolution

08202_ch08_ptg01.indd 280 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.3 Why Sleep? Why REM? Why Dreams? 281

alert enough to come to the surface periodically for a breath of air. To do so, they evolved the ability to sleep on one side of the brain at a time. The two hemispheres take turns sleep- ing, always leaving one awake enough to control swimming and breathing (Rattenborg, Amlaner, & Lima, 2000). Seals also sleep in one hemisphere at a time when they are at sea, al- though they sleep in both hemispheres at the same time when they are on land (Lyamin, Kosenko, Lapierre, Muikhametov, & Siegel, 2008).

Swifts are small, dark birds that chase insects. They get all the nutrition and water they need from the insects. When a baby European swift first takes off from its nest, how long would you guess its first flight lasts, until it comes to land again?

a cool, dimly lit place during the winter, and it appears to have died, make sure that it is not just hibernating before you bury it!

3. Many reptiles and amphibians become dormant, a state similar to hibernating, during the winter. They depress their metabolism and remain inactive until spring (Sand- ers et al., 2015).

4. Hibernating animals come out of hibernation for a few hours, either once every few days or once in a few weeks, depending on the species. However, they spend most of this nonhibernating time asleep (Barnes, 1996; Williams, Barnes, Richter, & Buck, 2012).

5. Hibernation retards or suspends the aging process. Ham- sters that spend longer times hibernating have propor- tionately longer life expectancies than other hamsters do (Lyman, O’Brien, Greene, & Papafrangos, 1981). Fat-tailed dwarf lemurs, which hibernate, survive years longer than related species of the same size that do not hibernate (Blanco & Zehr, 2015). Hibernation is also a period of relative invulnerability to infection and trauma. Proce- dures that would ordinarily damage the brain, such as inserting a needle into it, produce little if any harm during hibernation (Zhou et al., 2001).

Species Differences in Sleep If one of the main functions of sleep is to decrease activity at times of relative inefficiency, we might expect to find little or no sleep in species that are equally effective at all times of day. Indeed, evidence supports that expectation. Mexican cavefish, which you can buy at a pet store, are from a species that has one population that lives in normal waters subject to day and night, and several populations that evolved to live in caves with no light and virtually no changes in temperature. In contrast to the population in normal waters, which average more than 13 hours of sleep per day, the populations in caves vary be- tween 2 and 4 hours of sleep per day (Duboué & Keene, 2016; Duboué, Keene, & Borowsky, 2011; Kavanau, 1998). Many an- imals that live near the North or South Pole greatly decrease their sleep during summer, when the sun is constantly above the horizon. For example, while male sandpipers are compet- ing for mates above the Arctic Circle, many of them are active up to 23 hours per day for nearly three weeks, with no ap- parent harm to their health or alertness (Lesku et al., 2012). Many reindeer and penguins have long periods of nearly con- stant wakefulness, with no apparent circadian rhythm (Bloch, Barnes, Gerkema, & Helm, 2013).

Certain other species abandon or decrease their sleep under certain circumstances. After a dolphin or whale gives birth, both mother and baby stay awake 24 hours a day for the first couple of weeks while the baby is especially vulner- able. Neither shows any sign of harm from sleep deprivation (Lyamin, Pryaslova, Lance, & Siegel, 2005). Even at other times, dolphins, whales, and other aquatic mammals face a problem related to sleep: At all times of day, they need to be

A European swift

The answer: up to 2 years. Except during treacherous storms, the bird doesn’t land on solid ground until it is old enough to mate and build a nest. In the meantime, it spends both days and nights in the air. At night it heads into the wind, sticks out its wings, and glides (Bäckman & Alerstam, 2001). Does it sleep all night while flying? Does it sleep with one hemisphere at a time? Or has it abandoned sleep alto- gether? Answering these questions would require recording EEG from a small bird in flight, not much bigger than a house sparrow. However, measuring EEG is more feasible in a much larger bird that also spends most nights in the air. Great frig- ate birds fly over the ocean for weeks or months at a time, eating flying fish, flying squid (yes, there is such a thing), and anything else that comes at or above the surface. These birds never land on the water, because their feathers would become waterlogged and prevent the bird from taking flight again. So frigate birds spend the night in the air. EEG records show that they have periods of slow-wave sleep in just one hemisphere, and REM periods in both hemispheres equally. Moreover, their sleep episodes are brief, averaging just 11 seconds, and totaling less than 45 minutes per night. By contrast, when they are on land (mainly to nest and rear young), they sleep 12 or more hours per day (Rattenborg et al., 2016). A bird flying at sea needs nearly constant alertness, but a large bird sitting on a nest does not.

Al an

W ill

ia m

s/ Al

am y

St oc

k Ph

ot o

08202_ch08_ptg01.indd 281 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

282 Chapter 8 Wakefulness and Sleep

Migrating birds face a problem: During a week or two in fall and spring, they forage for food during the day and do their migratory flying at night, leaving them little time for sleep. They apparently decrease their need for sleep during migration. If a bird is kept in a cage during the migration season, it flutters around restlessly at night, sleeping only a third its usual amount. It compensates to some extent with brief drowsy periods (less than 30 seconds each) during the day (Fuchs, Haney, Jechura, Moore, & Bingman, 2006). Still, it gets very little sleep, while remain- ing alert and performing normally on learning tasks. If the same bird is deprived of sleep during other seasons of the year, its performance suffers (Rattenborg et al., 2004). Exactly how a mother dolphin, great frigate bird, or migratory bird de- creases its sleep need is unknown, but the fact that it is possible fits with the idea that sleep is primarily a way to conserve energy, rather than a way to fulfill a need that one could not fulfill in other ways.

Animal species vary in their sleep habits in ways that make sense if we ask how many hours the animal needs to be awake, and there- fore how long it can afford to spend conserving energy (Allison & Cicchetti, 1976; Campbell & Tobler, 1984). Grazing animals that need to eat for many hours per day get less sleep than carni- vores (meat eaters) that satisfy their nutritional needs with a single meal. Animals that need to be on the alert for predators get little sleep, whereas the predators themselves sleep easily. Insect-eating bats are active in the early eve- ning, when moths and similar insects are most abundant, and then they sleep the rest of the day (see Figure 8.19).

A great frigate bird

The lion sleeps tonight . . . and maybe part of the morning . . . and much of the afternoon, too.

Jo E

lle n

Ka la

t

Little sleep, easily aroused

Moderate amount of sleep per day

Much sleep per day

19.9 hr

Cat

18.5 hr

14.5 hr

9.8 hr

9.6 hr

8.4 hr

8.0 hr

Fox

3.9 hr

3.8 hr

3.8 hr

2.9 hr

Cow

Sheep

Goat

Horse

Human

Rabbit

Rhesus monkey

Bat

Armadillo

Figure 8.19 Hours of sleep per day for various species Generally, predators and others that are safe when they sleep tend to sleep a great deal. Animals in danger of being attacked while they sleep spend less time asleep.

Uw e

Be rg

w itz

/S hu

tte rs

to ck

.c om

08202_ch08_ptg01.indd 282 9/15/17 7:45 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.3 Why Sleep? Why REM? Why Dreams? 283

learning, except that they were more rapid during sleep. Fur- thermore, the amount of hippocampal activity during sleep correlated highly with the subsequent improvement in per- formance (Derégnaucourt, Mitra, Fehér, Pytte, & Tchernich- ovski, 2005; Euston, Tatsuno, & McNaughton, 2007; Huber, Ghilardi, Massimini, & Tononi, 2004; Ji & Wilson, 2007; Ma- quet et al., 2000; Peigneux et al., 2004). As the brain replays its experiences during sleep it forms new dendritic branches and strengthens the memories (Yang et al., 2014). However, the hippocampus also replays recently learned patterns dur- ing quiet waking periods, not just during sleep (Karlsson & Frank, 2009).

One way for sleep to strengthen memory is by weeding out the less successful connections. The chapter on memory (Chapter 12) describes long-term potentiation, the abil- ity of new experiences to strengthen synaptic connections. Suppose that every time you learn something, your brain strengthened certain synapses without making adjustments elsewhere. As you learned more and more, you would have more and more brain activity. By middle age, your brain might be burning with constant activity. To prevent runaway overactivity, your brain compensates for strengthening some synapses by weakening or removing others, mostly during sleep (Liu, Faraguna, Cirelli, Tononi, & Gao, 2010; Maret, Faraguna, Nelson, Cirelli, & Tononi, 2011; Vyazovskiy, Cirelli, Pfister-Genskow, Faraguna, & Tononi, 2008). Weakening less appropriate synapses emphasizes the ones that were strength- ened during wakefulness.

Sleep and Memory Another function of sleep is improved memory. If you do not get a good night’s sleep, your memory and cognition will suf- fer the next day (Appleman, Albouy, Doyon, Cronin-Golomb, & King, 2016; Yoo, Hu, Gujar, Jolesz, & Walker, 2007). In con- trast, if you learn something and then go to sleep, or even take a nap, your memory solidifies and may even become better than it was before sleep (Hu, Stylos-Allan, & Walker, 2006; Korman et al., 2007; Nettersheim, Hallschmid, Born, & Diekelmann, 2015; Payne et al., 2015). In one study, students memorized a foreign vocabulary list (in Swahili) until they had said each item correctly just once. Then 12 hours later they tried again. Those who learned the list in the morning and tried again in the evening had forgotten most of the words. Those who learned in the evening, slept, and tried again in the morning did much better (Mazza et al., 2016). So, if you want to memorize something, study it before going to sleep. Better yet, study before going to sleep and then review after you awaken.

Sleep also helps people reanalyze their memories: In one study, people who had just practiced a complex task were more likely to perceive a hidden rule (an “aha” experience) after a period of sleep than after a similar period of wakeful- ness (Wagner, Gais, Haider, Verleger, & Born, 2004). Another study found that a nap that included REM sleep enhanced per- formance on certain kinds of creative problem solving (Cai, Mednick, Harrison, Kanady, & Mednick, 2009). However, an afternoon nap also leaves someone less alert than usual for the next half hour (Groeger, Lo, Burns, & Dijk, 2011). Both REM sleep and slow-wave sleep have been linked to strengthen- ing of memories (Boyce, Glasgow, Williams, & Adamantidis, 2016; Gais, Plihal, Wagner, & Born, 2000; Plihal & Born, 1997; Wei, Krishnan, & Bazhenov, 2016).

How does sleep enhance memory? Researchers recorded activity in the hippocampus during learning, and then re- corded from the same locations during sleep, using micro- electrodes within cells for laboratory animals and electrodes on the scalp for humans. The results: Patterns that occurred during sleep resembled those that had occurred during

STOP & CHECK 16. What might one predict about the sleep of fish that live

deep in the ocean? 17. What kind of animal tends to get more than the average

amount of sleep?

ANSWERS

16. The deep ocean, like a cave, has no light and no dif- ference between day and night. These fish might not need to sleep because they are equally efficient at all times of day and have no reason to conserve energy at one time more than another. 17. Predators get much sleep, and so do species that are unlikely to be attacked during their sleep (such as armadillos).

STOP & CHECK 18. How does weakening synapses during sleep improve

memory?

ANSWER 18. Weakening the less active synapses enables the strengthened ones to stand out by contrast.

Functions of REM Sleep An average person spends about a third of his or her life asleep and about a fifth of sleep in REM, totaling about 600 hours of REM per year. Presumably, REM serves a biological function. But what is it?

One way to approach this question is to compare the peo- ple or animals with more REM to those with less. REM sleep is widespread in mammals and birds, indicating that it is part of our ancient evolutionary heritage. Some species, however, have far more than others. As a rule, the species with the most total sleep hours also have the highest percentage of REM sleep (Siegel, 1995). Cats spend up to 16 hours a day sleeping, much or most of it in REM sleep. Rabbits, guinea pigs, and sheep sleep less and spend little time in REM.

08202_ch08_ptg01.indd 283 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

284 Chapter 8 Wakefulness and Sleep

don’t sleep long, you have less need to shake up the stagnant fluid.) However, as mentioned, many people take antidepres- sants that restrict REM sleep. They are not known to suffer damage to the cornea.

Figure 8.20 illustrates the relationship between age and REM sleep for humans. The trend is the same for other mam- malian species. Infants get more REM and more total sleep than adults do, confirming the pattern that more total sleep predicts a higher percentage of REM sleep. Among adult hu- mans, those who sleep 9 or more hours per night have the highest percentage of REM sleep, and those who sleep 5 or fewer hours have the least percentage. This pattern implies that although REM is no doubt important, NREM is more tightly regulated. The amount of NREM varies less among in- dividuals and among species.

One hypothesis is that REM is important for strength- ening memory (Crick & Mitchison, 1983). Although memory consolidation does occur during REM, many people take anti- depressant drugs that severely decrease REM sleep but cause no memory problems (Rasch, Pommer, Diekelmann, & Born, 2009). Research on laboratory animals indicates that antide- pressant drugs sometimes even enhance memory (Parent, Habib, & Baker, 1999).

Another hypothesis sounds odd because we tend to imagine a glamorous role for REM sleep: David Maurice (1998) proposed that REM just shakes the eyeballs back and forth enough to get sufficient oxygen to the corneas of the eyes. The corneas, unlike the rest of the body, get oxygen di- rectly from the surrounding air. During sleep, because they are shielded from the air, they deteriorate slightly (Hoffmann & Curio, 2003). They do get some oxygen from the fluid be- hind them (see Figure 5.1), but when the eyes are motionless, that fluid becomes stagnant. Moving the eyes increases the oxygen supply to the corneas. According to this view, REM is a way of arousing a sleeper just enough to shake the eyes back and forth, and the other manifestations of REM are just by-products. This idea makes sense of the fact that REM oc- curs mostly toward the end of the night’s sleep, when the fluid behind the eyes would be the most stagnant. It also makes sense of the fact that individuals who spend more hours asleep devote a greater percentage of sleep to REM. (If you

24

16

14

12

10

8

6

4

2

0

Waking

REM sleep

NREM sleep Total daily sleep

1-15 Day

3-5 Mo

6-23 Mo

2-3 Yr

3-5 Yr

5-9 Yr

10-13 Yr

14-18 Yr

19-30 Yr

33-45 Yr

50-70 Yr

70-85 Yr

H o

ur sFigure 8.20 Sleep patterns for

people of various ages REM sleep occupies about 8 hours a day in newborns but less than 2 hours in most adults. The sleep of infants is not quite like that of adults, however, and the criteria for identifying REM sleep are not the same. (Source: From “Ontogenetic development of human sleep-dream cycle,” by H. P. Roffwarg, J. N. Muzio, and W. C. Dement, 1966, Science, 152, pp. 604–609. Copyright 1966 AAAS. Reprinted by permission.)

STOP & CHECK 19. What kinds of individuals get more REM sleep than others?

(Think in terms of age, species, and long versus short sleepers.)

ANSWER

19. Much REM sleep is more typical of the young than the old, and of those who get much sleep than those who get little.

Biological Perspectives on Dreaming Dream research faces a special problem: All we know about dreams comes from people’s self-reports, and researchers have no way to check the accuracy of those reports. In fact, we forget most dreams, and even when we do remember them, the details fade quickly.

The Activation-Synthesis Hypothesis According to the activation-synthesis hypothesis, a dream represents the brain’s effort to make sense of sparse and distorted information. Dreams begin with periodic bursts of spontaneous activity in the pons—the PGO waves previously described—that activate some parts of the cortex but not others. The cortex com- bines this haphazard input with whatever other activity was al- ready occurring and does its best to synthesize a story that makes sense of the information (Hobson & McCarley, 1977; Hobson, Pace-Schott, & Stickgold, 2000; McCarley & Hoffman, 1981).

Consider how this theory handles a couple of common dreams. Most people have had occasional dreams of falling or flying. While you are asleep, you lie flat, unlike your posture for

08202_ch08_ptg01.indd 284 9/15/17 7:02 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

8.3 Why Sleep? Why REM? Why Dreams? 285

dream, and sudden scene changes are common. We also lose a sense of volition—that is, planning (Hobson, 2009). It seems that events just happen, without any intention on our part.

Meanwhile, activity is relatively high in the inferior (lower) part of the parietal cortex, an area important for visuo- spatial perception. Patients with damage here fail to bind body sensations with vision. They also report no dreams. Fairly high activity is also found in the areas of visual cortex other than the primary visual cortex. Those areas are presumably impor- tant for the visual imagery that accompanies most dreams. Finally, activity is high in the hypothalamus, amygdala, and other areas important for emotions and motivations (Gvilia, Turner, McGinty, & Szymusiak, 2006).

So the idea is that either internal or external stimulation ac- tivates parts of the parietal, occipital, and temporal cortex. The arousal develops into a hallucinatory perception, with no sensory input from area V1 to override it. This idea, like the activation- synthesis hypothesis, is hard to test because it does not make specific predictions about who will have what dream and when.

the rest of the day. Your brain in its partly aroused condition feels the vestibular sensation of your position and interprets it as flying or falling. Have you ever dreamed that you were try- ing to move but couldn’t? Most people have. An interpretation based on the activation-synthesis theory is that during REM sleep (which accompanies most dreams), your motor cortex is inactive and your major postural muscles are virtually paralyzed. That is, when you are dreaming, you really cannot move, you feel your lack of movement, and thus, you dream of failing to move.

One criticism is that the theory’s predictions are vague. If we dream about falling because of the vestibular sensations from lying down, why don’t we always dream of falling? If we dream we cannot move because our muscles are paralyzed dur- ing REM sleep, why don’t we always dream of being paralyzed? Furthermore, most dreams have no apparent connection to any current stimuli (Foulkes & Domhoff, 2014; Nir & Tononi, 2010).

The Neurocognitive Hypothesis The neurocognitive hypothesis regards dreams as thinking that takes place under unusual conditions. It emphasizes that dreams begin with spontaneous brain activity related to re- cent memories (Solms, 1997, 2000).

During sleep, the brain gets relatively little information from the sense organs, and the primary visual and auditory areas of the cortex have lower than usual activity. Therefore, other brain areas are free to generate images without con- straints or interference. Also, the primary motor cortex is suppressed, as are the motor neurons of the spinal cord, so arousal cannot lead to action. Activity is suppressed in the pre- frontal cortex, which is important for working memory. Con- sequently, we not only forget most dreams after we awaken, but we also lose track of what has been happening within a

STOP & CHECK 20. According to the neurocognitive hypothesis, why do we have

visual imagery during dreams? Why do dreams sometimes make an incoherent or illogical story?

ANSWER

20. We have visual imagery because areas of the visual cortex other than the primary visual cortex become active, without any input from the eyes. Dreams are some- times incoherent or illogical because low activity in the prefrontal cortex means poor memory for what has just happened.

Our Limited Self-Understanding Module 8.3 In Closing

Without minimizing how much we do understand about sleep, it is noteworthy how many basic questions remain. What is the function of REM sleep? Does dreaming have a function, or is it just an accident? Our lack of knowledge about activities that

occupy so much of our time underscores a point about the biol- ogy of behavior: We evolved tendencies to behave in certain ways that lead to survival and reproduction. The behavior can serve its function even when we do not fully understand that function.

Summary 1. One important function of sleep is to conserve energy

at a time when the individual would be less efficient. Animal species vary in their sleep per day depending on their feeding habits and how much danger they face while asleep. 280

2. In addition to saving energy, sleep serves other functions, including enhancement of memory. 283

3. REM sleep occupies the greatest percentage of sleep in the individuals and species that sleep the most total hours. 283

4. According to the activation-synthesis hypothesis, dreams are the brain’s attempts to make sense of the information reaching it, based mostly on haphazard input originating in the pons. 284

5. According to the neurocognitive hypothesis, dreams orig- inate mostly from the brain’s own motivations, memories, and arousal. The stimulation often produces peculiar results because it does not have to compete with normal visual input and does not get organized by the prefrontal cortex. 285

08202_ch08_ptg01.indd 285 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

286 Chapter 8 Wakefulness and Sleep

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and cross- word puzzles are among the online resources available to help you learn these terms and the concepts they represent.

activation-synthesis hypothesis 284 neurocognitive hypothesis 285

Why would it be harder to deprive someone of just NREM sleep than just REM sleep?

Thought Question

Module 8.3 End of Module Quiz

1. Certain animal species have evolved to sleep very little under which of these circumstances? A. The animals can easily find an abundance of food. B. The environment is about the same 24 hours a day.

C. The weather often changes drastically from one day to the next.

D. Several closely related species live in the same geo- graphical area.

2. How do whales and dolphins get oxygen at night? A. They absorb oxygen from the water. B. They sleep in just one hemisphere at a time.

C. They lower their metabolism so that they need to breathe only a few times per night.

D. They store oxygen in their digestive system.

3. When frigate birds spend weeks at sea, what do they do about sleep? A. They sleep while floating on the water. B. They sleep only in brief episodes, and not much

overall.

C. They go without sleep altogether. D. They sleep as much as usual, but while gliding.

4. If we want to predict how many hours a day some species sleeps, which of these questions would be most helpful in making that prediction? A. What color is the animal? B. Does the animal live north or south of the equator?

C. What does the animal eat? D. How intelligent is the animal?

5. Sleep often improves memory. How? A. Synapses increase their supply of serotonin and

norepinephrine. B. Certain synapses become weakened, enabling others

to stand out by contrast.

C. Overall brain activity increases. D. The brain increases its ratio of sodium ions to potas-

sium ions.

6. Of the following groups, which one tends to spend the highest percentage of sleep in the REM stage? A. Infants B. Those who sleep only a few hours per night

C. Prey animals, such as sheep and horses D. Teenagers

7. According to the neurocognitive hypothesis, what are dreams? A. Dreams are disguised representations of unconscious

wishes. B. Dreams are reactions to whatever sensory stimuli are

present at the time.

C. Dreams are memories of the experiences of our ancestors.

D. Dreams are thinking that occurs under unusual conditions.

Answers: 1B, 2B, 3B, 4C, 5B, 6A, 7D.

08202_ch08_ptg01.indd 286 9/15/17 7:03 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Dement, W. C. (1992). The sleepwatchers. Stanford, CA: Stanford Alumni Association.

Fascinating, entertaining account of sleep research by one of its leading pioneers.

Moorcroft, W. H. (2013). Understanding sleep and dreaming, 2nd ed. New York: Springer.

Excellent review of the psychology and neurology of sleep and dreams.

Refinetti, R. (2016). Circadian physiology (3rd ed.). Boca Raton, FL: CRC Press.

Marvelous summary of research on circadian rhythms and the relevance to human behavior.

Suggestions for Further Reading

8.3 Why Sleep? Why REM? Why Dreams? 287

08202_ch08_ptg01.indd 287 9/14/17 2:12 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch09_ptg01.indd 288 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

289

Module 9.1

Temperature Regulation Homeostasis and Allostasis Controlling Body Temperature In Closing: Combining Physiological and

Behavioral Mechanisms

Module 9.2

Thirst Mechanisms of Water Regulation Osmotic Thirst Hypovolemic Thirst and Sodium-Specific

Hunger In Closing: The Psychology and Biology of

Thirst

Module 9.3

Hunger Digestion and Food Selection Short- and Long-Term Regulation of Feeding Brain Mechanisms Eating Disorders In Closing: The Multiple Controls of Hunger

Chapter 9Internal Regulation

Chapter Outline

After studying this chapter, you should be able to:

1. List examples of how temperature regula- tion contributes to behaviors.

2. Explain why a constant high body tem- perature is worth all the energy it costs.

3. Describe why a moderate fever is advanta- geous in fighting an infection.

4. Distinguish between osmotic and hypovo- lemic thirst, including the brain mecha- nisms for each.

5. Describe the physiological factors that influence hunger and satiety.

Learning Objectives

Opposite:

All life on Earth requires water, and animals drink it wherever they can find it. (© iStock.com/StockPhotoAstur)

What is life? You could define life in many ways depending on whether your purpose is medical, legal, philosophical, or poetic. Biologically, the necessary condition for life is a coordinated set of chemical reactions.

Not all chemical reactions are alive, but all life has well-regulated chemical

reactions.

Every chemical reaction in a living body takes place in a water solution at

a rate that depends on the types of molecules, their concentration, and their

temperature. Our behavior is organized to keep the right chemicals in the

right proportions and at the right temperature.

08202_ch09_ptg01.indd 289 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

290

Temperature Regulation

Module 9.1

Here’s an observation that puzzled biologists for years: When a small male garter snake emerges from hibernation in early spring, it emits female pheromones for the first day or two. The pheromones attract larger males that swarm all over him, trying to copulate. Presumably, the tendency to release female pheromones must have evolved to provide the small male some advantage. But what? Biologists speculated about ways in which this pseudo-mating experience might help the small male attract real females. The truth is simpler: A male that has just emerged from hibernation is so cold that it has trouble slithering out of its burrow. The larger males emerged from hibernation earlier and already had a chance to warm themselves in a sunny place. When the larger males swarm all over the smaller male, they warm him and increase his activity level (Shine, Phillips, Waye, LeMaster, & Mason, 2001).

Here are more examples that temperature regulation helps to explain:

●● Have you ever noticed gulls, ducks, or other large birds standing on one leg (see Figure 9.1)? Why do they do that, when balancing on two legs would seem easier? One reason is to conserve body heat on cold days. By standing on one leg, they protect the heat in the other leg (Ehrlich, Dobkin, & Wheye, 1988).

●● Vultures sometimes defecate onto their own legs. Are they just careless slobs? No. They defecate onto their legs on hot days so that the evaporating excretions will cool their legs (Ehrlich, Dobkin, & Wheye, 1988).

●● For many years, biologists puzzled about the function of toucans’ huge, clumsy bills (see Figure 9.2). The answer is temperature regulation (Tattersall, Andrade, & Abe, 2009). While flying on hot days, a toucan directs more blood flow to the beak, where the passing air cools it. At night the toucan tucks its bill under a wing to prevent undue loss of heat.

●● Most lizards live solitary lives, but Australian thick-tailed geckos sometimes form tight huddles. Why? They live in an environment with rapid temperature fluctuations. They huddle only when the environmental temperature is falling rapidly. By huddling, they increase insulation and prevent a rapid drop in body temperature (Shah, Shine, Hudson, & Kearney, 2003).

●● The Japanese giant hornet sometimes invades bee colo- nies, kills one or more bees, and takes them to feed to its larvae. When one of these hornets invades a hive of Japanese honeybees, the bees form a tight swarm of more than 500, surrounding the hornet in a tiny ball. Why? The combined body heat of all those bees raises the tempera- ture to a level that is lethal to the hornet, but not to the bees (Ono, Igarashi, Ohno, & Sasaki, 1995).

●● Migratory birds do most of their migratory flying at night. Why? The nights are cooler. A bird flying in midday would overheat and frequently have to stop for a drink, often in places where fresh water is difficult to find.

Figure 9.1 Why do birds sometimes stand on one foot? One reason is that holding one leg next to the body keeps it warm. (F1online digitale Bildagentur GmbH/Alamy Stock Photo)

08202_ch09_ptg01.indd 290 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.1 Temperature Regulation 291

●● Decades ago, psychologists reported that infant rats appeared deficient in certain aspects of learning, eating, and drinking. Later results showed that the real problem was temperature control. Researchers generally test ani- mals at room temperature, about 208 to 238C (68 to 738F), which is comfortable for adult humans but dangerously cold for an isolated baby rat (see Figure 9.3). Infant rats that seem incapable of some task in a cold room do much better in a warmer room (Satinoff, 1991).

●● Certain studies found that female rats learned best dur- ing their fertile period (estrus), but in other studies, they learned best a day or two before their fertile period (pro- estrus). The difference depended on the temperature of the room. Rats in estrus do better in a cooler environment, presumably because they are generating so much heat on their own. Rats in proestrus do better in a warmer envi- ronment (Rubinow, Arseneau, Beverly, & Juraska, 2004).

The point is that temperature affects behavior in many ways that we easily overlook. The modules on thirst and hunger, later in this chapter, present further examples of how temper- ature control affects behavior.

Homeostasis and Allostasis Physiologist Walter B. Cannon (1929) introduced the term homeostasis (HO-mee-oh-STAY-sis) to refer to tempera- ture regulation and other biological processes that keep body variables within a fixed range. The process resembles the thermostat in a house with heating and cooling systems. Someone sets the minimum and maximum temperatures on the thermostat. When the temperature in the house drops below the minimum, the thermostat triggers the furnace to provide heat. When the temperature rises above the maximum, the thermostat turns on the air conditioner. For another example, stand and balance on one foot. Whenever your weight happens to shift left, right, forward, or backward, you quickly correct your position to maintain balance.

Homeostatic processes in animals trigger physiological and behavioral activities that keep certain variables within a set range. In many cases, the range is so narrow that we refer to it as a set point, a single value that the body works to main- tain. For example, if calcium is deficient in your diet and its concentration in the blood begins to fall below the set point of 0.16 g/L (grams per liter), storage deposits in your bones release additional calcium into the blood. If the calcium level in the blood rises above 0.16 g/L, you store part of the excess in your bones and excrete the rest. Similar mechanisms main- tain constant blood levels of water, oxygen, glucose, sodium chloride, protein, fat, and acidity (Cannon, 1929). Processes that reduce discrepancies from the set point are known as negative feedback. Much of motivated behavior can be de- scribed as negative feedback: Something causes a disturbance, and behavior proceeds until it relieves the disturbance.

However, the concept of homeostasis is not fully satisfac- tory, because the body does not maintain complete constancy. For example, your body temperature is about half a Celsius degree higher in mid-afternoon than in the middle of the night. Most animals maintain a nearly constant body weight from day to day, but add body fat in fall and decrease it in spring. (The increased fat is a good reserve in preparation for probable food shortage during the winter. It also provides insulation against the cold.) We can describe these altera- tions as changes in the set point, but even changes in the set point don’t fully account for many observations. Much of our behavior anticipates a need before it occurs. For example, a sign of danger provokes a sudden increase in heart rate, blood pressure, and sweating, preparing the body for vigorous activ- ity. Similarly, as the air is starting to warm up, a hiker increases thirst and decreases urine production by the kidneys, antici- pating probable sweating and dehydration. (Other animals do the same.) To describe these dynamic changes, researchers use the term allostasis (from the Greek roots meaning “variable”

Figure 9.2 Why do toucans have such huge bills? They use their bills to radiate heat when they need to cool the body. They cover the bill at night to decrease heat loss.

Figure 9.3 Difficulties of temperature regulation for a newborn rodent A newborn rat has no hair, thin skin, and little body fat. If left exposed to the cold, it becomes inactive. (A. Blank/NAS/Science Source)

hi ro

na i/S

hu tte

rs to

ck .c

om

08202_ch09_ptg01.indd 291 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

292 CHAPTER 9 Internal Regulation

and “standing”), which means the adaptive way in which the body anticipates needs depending on the situation, avoid- ing errors rather than just correcting them (McEwen, 2000; Sterling, 2012). We shall encounter additional examples of al- lostasis later in this chapter. Homeostasis and allostasis don’t work perfectly, of course. If they did, we would not have prob- lems such as obesity, high blood pressure, or diabetes.

Mammals and birds are endothermic, meaning that they generate enough body heat to remain significantly above the temperature of the environment. A synonym is homeothermic, from Greek roots meaning “same heat.” Endothermic animals use physiological mechanisms to keep their core temperature nearly constant. Endothermy is costly, especially for small animals. An animal generates heat in proportion to its total mass, but it radiates heat in proportion to its surface area. A small mammal or bird, such as a mouse or a hummingbird, has a high surface- to-volume ratio and therefore radiates heat rapidly. Such animals need much fuel each day to maintain their body temperature.

To cool ourselves when the air is warmer than body tem- perature, we have only one physiological mechanism, evapo- ration. Humans sweat to expose water for evaporation. For species that don’t sweat, the alternatives are licking them- selves and panting. As water evaporates, it cools the body. However, if the air is humid as well as hot, the moisture does not evaporate. Furthermore, you endanger your health if you cannot drink enough to replace the water you lose by sweat- ing. If you sweat without drinking, you become dehydrated (low on water). You then protect your body water by sweating less, despite the risk of overheating (Tokizawa et al., 2010).

Several physiological mechanisms increase your body heat in a cold environment. One is shivering. Any muscle contrac- tions, such as those of shivering, generate heat. Second, de- creased blood flow to the skin prevents the blood from cooling too much. The consequence is warm internal organs but cold skin. A third mechanism works well for most mammals, though not humans: When cold, they fluff out their fur to increase in- sulation. (We humans also fluff out our “fur” by erecting the tiny hairs on our skin—“goose bumps.” That mechanism was more useful back when our remote ancestors had a fuller coat of fur.)

We also use behavioral mechanisms, just as ectothermic animals do. In fact, we prefer to rely on behavior when we can. The more we regulate our temperature behaviorally, the less energy we need to spend physiologically (Refinetti & Carlisle, 1986). Finding a cool place on a hot day is much better than sweating (see Figure 9.4). Finding a warm place on a cold day is

STOP & CHECK 1. How does the idea of allostasis differ from homeostasis?

ANSWER

1. Homeostasis keeps certain body variables within a fixed range by reacting to changes. Allostasis acts in advance to prevent or minimize changes.

Controlling Body Temperature If you were to list your strongest motivations in life, you might not think to include temperature regulation, but it has a high priority biologically. An average young adult expends about 2600 kilocalories (kcal) per day. Where do you suppose all that energy goes? It is not to muscle movements or mental activ- ity. Most of it goes to basal metabolism, the energy used to maintain a constant body temperature while at rest. Maintain- ing your body temperature uses about twice as much energy as all other activities combined (Burton, 1994). We produce that much heat largely by metabolism in brown adipose cells, cells that are more like muscle cells than like white fat cells. They burn fuel as muscle cells do, but release it directly as heat instead of as muscle contractions.

Amphibians, reptiles, and most fish are ectothermic, meaning that they depend on external sources for body heat instead of generating it themselves. A synonym is poikilothermic, from Greek roots meaning “varied heat.” An ectothermic animal’s body temperature is nearly the same as the temperature of its environment. People often call such animals “cold-blooded,” but they are cold only when the environment is cold. Poikilothermic animals lack physiological mechanisms of temperature regulation such as shivering and sweating, but they can regulate their body temperature behaviorally. A desert lizard moves between sunny areas, shady areas, and burrows to maintain a fairly steady body temperature. However, behavioral methods do not enable animals to maintain the same degree of con- stancy that mammals and birds have.

Although nearly all fish, amphibians, and reptiles are ectothermic, a few exceptions to that rule do occur. A few large fish, including sharks and tuna, maintain their core body temperature well above that of the surrounding water most of the time (Bernal, Donley, Shadwick, & Syme, 2005). The tegu lizards of South America, about the size of a large rabbit, increase their metabolism during the mating season, raising their body temperature to sometimes 108C above that of the environment (Tattersall et al., 2016).

Figure 9.4 One way to cope with the heat On a hot day, wouldn’t you do the same? (Sun-Journal/Ken Love/AP Images)

08202_ch09_ptg01.indd 292 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.1 Temperature Regulation 293

much smarter than shivering. Here are a few other behavioral mechanisms of temperature regulation:

●● Put on more clothing or take it off. This human strategy accomplishes what other mammals accomplish by fluffing out or sleeking their fur.

●● Become more active to get warmer or less active to avoid overheating.

●● To get warm, huddle with others. If you are waiting at a bus stop on a cold day, you might feel shy about suggest- ing to a stranger that you hug each other to keep warm. Other species have no such inhibitions (see Figure 9.5). Emperor penguin chicks huddle together to pool their heat, increasing their insulation enough to survive an Antarctic winter. Spectacled eiders (in the duck family) spend their winters in the Arctic Ocean, which is mostly covered with ice. When more than 150,000 eiders crowd together, they not only keep warm but also melt a big hole in the ice where they can dive for fish (Weidensaul, 1999).

Surviving in Extreme Cold If the atmospheric temperature drops below 08C (328F), you maintain your body temperature by shivering, shifting blood flow away from the skin, and so forth. However, an ectother- mic animal, which by definition takes the temperature of its environment, is vulnerable. If its body temperature drops below the freezing point of water, ice crystals form. Because water expands when it freezes, ice crystals would tear apart blood vessels and cell membranes, killing the animal.

Many amphibians and reptiles avoid that risk by bur- rowing or finding other sheltered locations. However, some frogs, fish, and insects survive through winters in northern Canada where even the underground temperature approaches –408 C (which is also –408 F). How do they do it? Some insects and fish stock their blood with glycerol and other antifreeze

chemicals at the start of the winter (Liou, Tocilj, Davies, & Jia, 2000). Wood frogs actually do freeze, but they have several mechanisms to reduce the damage. They start by withdrawing most fluid from their organs and blood vessels and storing it in extracellular spaces. Therefore, ice crystals have room to expand when they form, without tearing blood vessels or cells. Also, the frogs have chemicals that cause ice crystals to form gradually, not in chunks. Finally, they have extraordinary blood-clotting capacity that quickly repairs any blood vessels that do rupture (Storey & Storey, 1999).

The Advantages of Constant High Body Temperature As mentioned, we spend about two-thirds of our total energy maintaining body temperature (basal metabolism). An ecto- thermic animal, with a much lower level of basal metabolism, needs far less fuel. If we didn’t maintain a constant, high body temperature, we could eat less and spend less effort finding food. Given the substantial costs of maintaining our body temperature, it must provide an important advantage, or we would not have evolved these mechanisms. What is that advantage?

For the answer, think back to the chapter on movement: As the water gets colder, a fish recruits more and more fast- twitch muscle fibers to remain active, despite the risk of rapid fatigue. The same is true for amphibians and reptiles. On a very cold day, a lizard has to change its defense strategy: If it ran away from a predator, it would either run more slowly than usual or recruit all of its fast-twitch muscles and fatigue rapidly. So, instead of running, it tries to fight the predator— an act requiring a briefer burst of activity, though it is often a losing battle (James, 2013).

Birds and mammals keep their bodies warm at all times and therefore stay constantly ready for vigorous activity, regardless of the temperature of the air. In other words, we eat a great deal to support our high metabolism so that even if the weather is cold, we can still run rapidly without great fatigue. Let’s qualify this point, however: On a cold day, you divert blood away from the periphery to protect the internal organs and to avoid losing too much heat to the surrounding air. The result is that your muscles are not quite as warm as usual. A competitive athlete needs to warm up, literally, to increase the muscles’ temperature on a cold day.

Why did mammals evolve a body temperature of 378C (988F) instead of some other value? From the standpoint of muscle activity, we gain an advantage by being as warm as possible. A warmer animal has warmer muscles and therefore runs faster with less fatigue than a cooler animal. When a rep- tile has a choice of environments at different temperatures, it usually chooses to warm itself to 378 to 388C (988 to 1008F) (Wagner & Gleeson, 1997).

If warmer is better, why not heat ourselves to an even higher temperature? First, maintaining a higher temperature requires more fuel and energy. Second, and more importantly, beyond about 418C (1058F), proteins begin to break their

Figure 9.5 Behavioral regulation of body temperature Spectacled eiders pool their body heat to melt holes in the ice of the Arctic Ocean, thereby surviving the winter without migrating.

Aa ro

n La

ng /U

SF W

S

08202_ch09_ptg01.indd 293 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

bonds and lose their useful properties. Birds’ body tempera- tures are in fact about 418C.

It is possible to evolve proteins that are stable at higher temperatures; indeed, odd microscopic animals called ther- mophiles survive in boiling water. However, to do so, they need many extra chemical bonds to stabilize their proteins. The enzymatic properties of a protein depend on its flexibility, so making proteins rigid enough to withstand high temperatures makes them inactive at more moderate temperatures (Feller, 2010). In short, our body temperature of 378C is a trade-off between the advantages of high temperature for rapid move- ment and the disadvantages of high temperature for protein stability and energy expenditure.

Reproductive cells require a cooler environment than the rest of the body (Rommel, Pabst, & McLellan, 1998). Birds lay eggs and sit on them, instead of developing them internally, because the birds’ internal temperature is too hot for an em- bryo. Similarly, in most male mammals, the scrotum hangs outside the body, because sperm production requires a cooler temperature than the rest of the body. (It’s not just for decora- tion.) A man who wears his undershorts too tight keeps his testes too close to the body, overheats them, and produces fewer healthy sperm cells. Pregnant women are advised to avoid hot baths and anything else that might overheat a developing fetus.

STOP & CHECK 2. What is the primary advantage of maintaining a constant

high body temperature? 3. Why did mammals evolve a temperature of 378C (988F)

instead of some other temperature?

ANSWERS

2. A constant high body temperature keeps an animal ready for rapid, prolonged muscle activity even in cold weather. 3. Animals gain an advantage in being as warm as possible and therefore as fast as possible. However, proteins lose stability at temperatures much above 378C (988F).

Anterior commissure

Third ventricle

Pineal body

Mamillary body

Hypothalamus

Pituitary

Dorsal hypothalamus

Dorsomedial hypothalamus

Posterior hypothalamus

Ventromedial hypothalamus

Posterior pituitary

Paraventricular nucleus of hypothalamus

Anterior commissure

Lateral hypothalamus (behind plane of view)

Anterior hypothalamus

Preoptic area

Suprachiasmatic nucleus

Optic chiasm

Anterior pituitary

Mamillary body

Arcuate nucleus

Brain Mechanisms The physiological changes that regulate body temperature— such as shivering, sweating, and changes in blood flow to the skin—depend on areas in and near the hypothalamus (see Figure 9.6), especially the anterior hypothalamus and the preoptic area, located just anterior to the anterior hypo- thalamus. (It is called preoptic because it is near the optic chiasm, where the optic nerves cross.) Because of the close relationship between the preoptic area and the anterior

Figure 9.6 Major subdivi- sions of the hypothalamus and pituitary (Based on Nieuwenhuys, Voogd, & vanHuijzen, 1988)

294 CHAPTER 9 Internal Regulation

08202_ch09_ptg01.indd 294 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.1 Temperature Regulation 295

hypothalamus, researchers often treat them as a single area, the preoptic area/anterior hypothalamus, or POA/AH. The POA/AH and a couple other hypothalamic areas send output to the hindbrain’s raphe nucleus, which controls the auto- nomic responses such as shivering, sweating, changes in heart rate and metabolism, and changes in blood flow to the skin (Morrison, 2016; Yoshida, Li, Cano, Lazarus, & Saper, 2009).

The POA/AH integrates several types of information (Nakamura, 2011). It receives input from temperature receptors in the skin, in the organs, and in the hypothalamus (Song et al., 2016). If either the skin or the hypothalamus is hot, an animal sweats or pants vigorously and seeks a cooler location. If either is cold, the animal shivers and seeks a warmer location. The animal reacts most vigorously if the skin and hypothalamus are both hot or both cold. The POA/AH also receives input from the immune system, which reacts to an infection by sending prostaglandins and histamines to the POA/AH (Ek et al., 2001; Leon, 2002; Tabarean, Sanchez-Alavez, & Sethi, 2012). Those chemicals are the cause of shivering, increased metabolism, and other processes that produce a fever. People lacking the appro- priate receptors for those chemicals fail to develop a fever, even when they have pneumonia or similar diseases (Hanada et al., 2009). Figure 9.7 summarizes the role of the POA/AH.

The POA/AH is not the only brain area that detects tem- perature, but it is the primary area for controlling physiological mechanisms of temperature regulation such as sweating or shivering. After damage to the POA/AH, mammals can still regulate body temperature, but less efficiently. They also use the behavioral mechanisms that a lizard might use, such as seeking a warmer or colder location (Satinoff & Rutstein, 1970; Van Zoeren & Stricker, 1977).

Fever A fever represents an increased set point for body tempera- ture. Just as you shiver or sweat when your body temperature goes below or above its usual 378C, when you have a fever of, say, 398C (1028F), you shiver or sweat whenever your tem- perature deviates from that level. In other words, fever is not something an infection does to the body; it is something the hypothalamus directs the body to produce. Moving to a cooler room does not lower your fever. Your body just works harder to keep its temperature at the feverish level.

Because newborn rabbits have an immature hypothal- amus, they do not shiver in response to infections. If they are given a choice of environments, however, they select a spot warm enough to raise their body temperature and produce a fever by behavioral means (Satinoff, McEwen, & Williams, 1976). Fish and reptiles with an infection also choose a warm enough environment, if they can find one, to produce a feverish body temperature (Kluger, 1991). Again, the point is that fever is something the animal does to fight an infection.

Does fever do any good? Certain types of bacteria grow less vigorously at high temperatures than at normal mam- malian body temperatures. Also, the immune system works more vigorously at an increased temperature (Skitzki, Chen, Wang, & Evans, 2007). Other things being equal, develop- ing a moderate fever increases an individual’s chance of surviving a bacterial infection (Kluger, 1991). However, a fe- ver above about 398C (1038F) in humans does more harm than good, and a fever above 418C (1098F) is life-threatening (Rommel, Pabst, & McLellan, 1998).

Temperature receptors in skin

Temperature receptors in brain and other organs

Infection Immuneresponse Prostaglandins and histamine

POA/AH

Control of shivering, sweating, heart rate, blood �ow to skin, metabolism in brown adipose tissue, etc.

Figure 9.7 Integration of temperature information by the POA/AH If the brain and skin are overheated, the POA/AH sends signals that lead to sweating and other meth- ods of heat loss. If the brain and skin are cooled, or if prostaglandins and histamine indicate an infection, the POA/AH initiates shivering, increased heart rate, decreased blood flow to the skin, and increased metabolism by brown adipose tissue.

STOP & CHECK 4. What are the sources of input to the POA/AH? 5. If you had damage to your POA/AH, what would happen to

your body temperature?

ANSWERS

4. The POA/AH receives input from temperatures in the skin, the organs, and the hypothalamus. It also receives prostaglandins and histamines when the immune system detects an infection. 5. You would be much less able to shiver, sweat, or control other physiological mechanisms that control body temperature. However, you could still try to find a place in the environment that keeps you close to your normal temperature.

STOP & CHECK 6. What evidence indicates that fever is an adaptation to fight

illness?

ANSWER

6. The body will shiver or sweat to maintain its elevated temperature at a nearly constant level. Also, fish, reptiles, and immature mammals with infections use behavioral means to raise their temperature to a feverish level. Furthermore, a moderate fever inhib- its bacterial growth and increases the probability of surviving a bacterial infection.

08202_ch09_ptg01.indd 295 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Physiological mechanisms and behavioral mechanisms work together. Your body has physiological mechanisms to maintain constant body temperature, including shivering, sweating, and changes in blood flow. You also rely on behavioral mechanisms, such as finding a cooler or warmer place, adding or removing clothing, and so forth. Redundancy reduces your risk: If one

mechanism fails, another mechanism comes to your rescue. It is not, however, a true redundancy in the sense of two mecha- nisms doing exactly the same thing. Each of your mechanisms of temperature regulation solves an aspect of the problem in a different way. We shall see this theme again in the discussions of thirst and hunger.

Combining Physiological and Behavioral Mechanisms Module 9.1 In Closing

Speculate on why birds have higher body temperatures than mammals.

Thought Question

Summary 1. It is easy to overlook the importance of temperature regu-

lation. Many seemingly odd animal behaviors make sense as ways to heat or cool the body. 290

2. Homeostasis is a tendency to maintain a body variable near a set point. Temperature, hunger, and thirst are almost homeostatic, but the set point changes in varying circumstances. 291

3. A high body temperature enables a mammal or bird to move rapidly without excessive fatigue even in a cold environment. 293

4. From the standpoint of muscle activity, the higher the body temperature, the better. However, as temperatures increase, protein stability decreases, and more energy is

needed to maintain body temperature. Mammalian body temperature of 378C is a compromise between these com- peting considerations. 293

5. The preoptic area and anterior hypothalamus (POA/AH) are critical for temperature control. Cells there moni- tor both their own temperature and that of the skin and organs. When they receive input indicating an infection, they initiate responses that produce a fever. 294

6. All animals rely partly on behavioral mechanisms for temperature regulation. 295

7. A moderate fever helps an animal combat an infection. 295

Key Terms Terms are defined in the module on the page number indi- cated. They are also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

allostasis 291 basal metabolism 292 ectothermic 292

endothermic 292 homeostasis 291 negative feedback 291

preoptic area/anterior hypothala- mus (POA/AH) 295

set point 291

1. What is meant by allostasis? A. Processes that react to any change to bring the body

back to equilibrium B. Processes that anticipate future needs

C. Random changes in the internal processes of the body D. The ideal levels of all body variables

2. Well over half of the human body’s energy is devoted to which of the following? A. Basal metabolism B. Muscle contractions

C. Brain activity D. Keeping the heart going

Module 9.1 End of Module Quiz

296 CHAPTER 9 Internal Regulation

08202_ch09_ptg01.indd 296 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.1 Temperature Regulation 297

3. How do ectothermic animals regulate their body temperature, if at all? A. They move to a location with a more favorable

temperature. B. They use physiological mechanisms such as shivering

and sweating.

C. They increase their metabolic rate. D. They do not regulate their body temperature at all.

4. Which of the following is an ectothermic animal? A. Penguin B. Human

C. Mouse D. Snake

5. What is the primary advantage of maintaining a constant high body temperature? A. It saves us the energy from having to look for a com-

fortable temperature. B. It keeps the muscles ready for rapid, prolonged activity

even in cold weather.

C. It enables the digestive system to process a greater variety of nutrients.

D. It enables us to survive in warmer climates.

6. If we inserted a probe into your POA/AH and heated it, what would happen? A. You would sweat. B. You would shiver.

C. You would seek a warmer environment. D. Your skin receptors sensitive to temperature would

become more sensitive.

7. When you have an infection, what causes the fever? A. The infective agent stimulates the heart to beat faster. B. The infective agent impairs the activity of the

hypothalamus.

C. The immune system delivers prostaglandins and his- tamine to the hypothalamus.

D. The immune system decreases blood flow to the brain.

8. Which of the following is the most correct description of a fever? A. Fever is one way in which the body fights against

bacteria. B. Fever is one way in which bacteria cause damage to

the body.

C. Fever indicates that the POA/AH is not functioning properly.

D. Fever is a result of synchrony between the heart and the lungs.

Answers: 1B, 2A, 3A, 4D, 5B, 6A, 7C, 8A.

9.1 Temperature Regulation 297

08202_ch09_ptg01.indd 297 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

298

Thirst

Module 9.2

Osmotic Thirst We distinguish two types of thirst. Eating salty foods causes osmotic thirst, and losing fluid by bleeding or sweating induces hypovolemic thirst.

The combined concentration of all solutes (molecules in solution) in mammalian body fluids remains at a nearly con- stant level of 0.15  M (molar). (Molarity is a measure of the number of particles per unit of solution, regardless of the size of each particle. A 1.0 M solution of sugar and a 1.0 M solution of sodium chloride have the same number of molecules per liter.) This fixed concentration of solutes is a set point, simi- lar to the set point for temperature. Any deviation activates mechanisms that restore the concentration of solutes to the set point.

Osmotic pressure is the tendency of water to flow across a semipermeable membrane from the area of low solute con- centration to the area of higher concentration. A semiper- meable membrane is one through which water can pass but solutes cannot. The membrane surrounding a cell is almost a semipermeable membrane because water flows across it freely and various solutes flow either slowly or not at all between the intracellular fluid inside the cell and the extracellular fluid outside it. Osmotic pressure occurs when solutes are more concentrated on one side of the membrane than on the other.

If you eat something salty, sodium ions spread through the blood and the extracellular fluid but do not cross the membranes into cells. The result is a higher concentration of solutes (including sodium) outside the cells than inside. The resulting osmotic pressure draws water from the cells into the extracellular fluid. Certain neurons detect their own loss of water and then trigger osmotic thirst, a drive for water that

Water constitutes about 70 percent of the mammalian body. Because the concentration of chemicals in water determines the rate of all chemical reactions in the body, you need to maintain the water in your body within narrow limits. The body also needs enough fluid in the circulatory system to maintain normal blood pressure. You could survive for days, maybe weeks, without food, but not long without water.

Mechanisms of Water Regulation Species differ in their strategies for maintaining water. Beavers and other animals that live in rivers or lakes drink plenty of water, eat moist foods, and excrete dilute urine. In contrast, most gerbils and other desert animals go through life without drinking at all. They gain water from their food and they have many adaptations to avoid losing water, including the ability to excrete dry feces and concentrated urine. Unable to sweat, they avoid the heat of the day by burrowing under the ground. Their highly convoluted nasal passages minimize water loss when they exhale.

We humans vary our strategy depending on circum- stances. If you cannot find enough to drink or if the water tastes bad, you conserve water by excreting more concentrated urine and decreasing your sweat, somewhat like a gerbil, although not to the same extreme. Your posterior pituitary (see Figure 9.6) releases the hormone vasopressin that raises blood pressure by constricting blood vessels. (The term vasopressin comes from vascular pressure.) The increased pressure helps compensate for the decreased blood volume. Vasopressin is also known as antidiuretic hormone (ADH) because it enables the kidneys to reabsorb water from urine and therefore make the urine more concentrated. (Diuresis means “urination.”) You also in- crease your secretion of vasopressin while sleeping so that you can preserve your body water while you cannot drink (Trudel & Bourque, 2010). Vasopressin helps you get through the night without going to the toilet.

In most cases, our strategy is closer to that of beavers: We drink more than we need and excrete the excess. (However, if you drink extensively without eating, as many alcoholics do, you may excrete enough body salts to harm yourself.) Most of our drinking is with meals or in social situations, and most people seldom experience intense thirst.

STOP & CHECK 7. If you lacked vasopressin, would you drink like a beaver or like

a gerbil? Why?

ANSWER

7. If you lacked vasopressin, you would have to drink more like a beaver. You would excrete much fluid, so you would need to drink an equal amount to replace it.

08202_ch09_ptg01.indd 298 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.2 Thirst 299

in the digestive tract, enabling it to anticipate an osmotic need before the rest of the body experiences it (Bourque, 2008).

The brain areas surrounding the third ventricle are in a good position to monitor the contents of the blood, be- cause the blood–brain barrier is weak in this area, enabling chemicals to enter that would not reach neurons elsewhere in the brain. The danger, of course, is that a weak blood– brain barrier exposes neurons to potential harm. At least in mice, new neurons form in this area, replacing ones that may have died (Hourai & Miyata, 2013). Other species have not yet been tested.

The subfornical organ has one population of neurons that increases thirst and another population that suppresses it (Abbott, Machado, Geerling, & Saper, 2016; Oka, Ye, & Zuker, 2015). Those axons combine with input from the OVLT, the stomach, and elsewhere to provide input to the hypothala- mus. The lateral preoptic area and surrounding parts of the hypothalamus control drinking (Saad, Luiz, Camargo, Renzi, & Manani, 1996). The supraoptic nucleus and the paraventricular nucleus (PVN) control the rate at which the posterior pituitary releases vasopressin.

All of this is true, so far as it goes: When your cells start to become dehydrated, they stimulate osmotic thirst. However, remember the concept of allostasis: Your body does not just react to needs, but also it anticipates needs. For example, when you eat a meal, especially a salty meal, your cells are going to need water, but you drink at once instead of waiting until your osmotic pressure changes. Also, as a study with mice showed, shortly before time to go to sleep, the body’s circadian rhythm triggers increased secretion of vasopressin, which inhibits the need to urinate and therefore helps retain water when drink- ing cannot occur. At the same time, vasopressin stimulates thirst (Gizowki, Zaelzer, & Bourque, 2016). That is why you often feel an urge to drink something shortly before going to sleep, even if your cells’ osmotic pressure is quite normal at the time.

helps restore the normal state (see Figure 9.8). The kidneys also excrete more concentrated urine to rid the body of excess sodium and maintain as much water as possible.

How does the brain detect osmotic pressure? It has receptors around the third ventricle, including the OVLT (organum vasculosum laminae terminalis) and the subfornical organ (SFO) (Hiyama, Watanabe, Okado, & Noda, 2004) (see Figure 9.9). Those receptors detect osmotic pres- sure and the sodium content of the blood (Tiruneh, Huang, & Leenen, 2013). The OVLT also receives input from receptors

Greater concentration of solutes (green dots) outside the cell than inside.

(a) Water ows out of the cell, equalizing the solute concentration and shrinking the cell.

(b)

Figure 9.8 The consequence of a dif- ference in osmotic pressure (a) Suppose a solute such as NaCl is more concentrated outside the cell than inside. (b) Water flows by osmosis out of the cell until the concentrations are equal. Neurons in certain brain areas detect their own dehydration and trigger thirst.

Subfornical organ

Third ventricleOVLT

Figure 9.9 The brain’s receptors for osmotic pressure and blood volume These neurons are in areas surrounding the third ventricle of the brain, where no blood–brain barrier prevents blood-borne chemicals from entering the brain. (Based in part on DeArmond, Fusco, & Dewey, 1974; Weindl, 1973)

08202_ch09_ptg01.indd 299 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

300 CHAPTER 9 Internal Regulation

angiotensinogen, a large protein in the blood, to form angio- tensin I, which other enzymes convert to angiotensin II. Like vasopressin, angiotensin II constricts the blood vessels, com- pensating for the drop in blood pressure (see Figure 9.10).

Angiotensin II also helps trigger thirst, in conjunction with receptors that detect blood pressure in the large veins. However, this thirst is different from osmotic thirst, because you need to restore lost salts and not just water. This kind of thirst is known as hypovolemic (HI-po-vo-LEE-mik) thirst, meaning thirst based on low volume. When angiotensin II reaches the brain, it stimulates neurons in areas adjoining the third ventricle (Fitts, Starbuck, & Ruhf, 2000; Mangiapane & Simpson, 1980; Tanaka et al., 2001). Those neurons send ax- ons to the hypothalamus, where they release angiotensin II as their neurotransmitter (Tanaka, Hori, & Nomura, 2001). That is, the neurons surrounding the third ventricle both respond to angiotensin II and release it. As in many other cases, the connection between a neurotransmitter and its function is not arbitrary. The brain uses a chemical that was already perform- ing a related function elsewhere in the body.

Whereas an animal with osmotic thirst needs water, one with hypovolemic thirst cannot drink much pure water. Pure water would dilute its body fluids and lower the solute con- centration in the blood. The animal therefore increases its preference for salty water (Stricker, 1969).

An animal that becomes deficient in sodium shows an immediate strong preference for salty tastes, known as sodium-specific hunger (Richter, 1936), even for extremely concentrated salt solutions that it would ordinarily reject (Robinson & Berridge, 2013). Neurons in several brain areas suddenly react much more strongly than usual to salty tastes (Tandon, Simon, & Nicolelis, 2012). You may have noticed this phenomenon yourself. A woman around the time of men- struation, or anyone who has sweated heavily, finds that salty snacks taste especially good. In contrast, specific hungers for other vitamins and minerals have to be learned by trial and error (Rozin & Kalat, 1971).

Sodium-specific hunger depends partly on hormones (Schulkin, 1991). When the body’s sodium reserves are low, the adrenal glands produce aldosterone (al-DOSS-ter-one), a hormone that causes the kidneys, salivary glands, and sweat glands to retain salt (Verrey & Beron, 1996). Aldosterone and angiotensin II together change the properties of taste re- ceptors on the tongue, neurons in the nucleus of the tractus solitarius (part of the taste system), and neurons elsewhere in the brain to increase salt intake (Krause & Sakal, 2007). Note that aldosterone indicates low sodium, and angiotensin

When you are thirsty, how do you know when to stop drinking? You do not continue drinking while the digestive system absorbs the water and then the circulatory system pumps it to the hypothalamus. That process takes 15 minutes or more, and if you continued drinking for that long, you would drink far more than you need. Again, allostasis to the rescue: Not only do you start when you anticipate a future need, but also you stop drinking when you anticipate that you have ful- filled a need. Researchers recording activity from mouse brains found that one minute of drinking suppressed the activity of thirst-sensitive neurons in the subfornical organ, long before water reached the blood, much less the brain (Zimmerman et al., 2016). Cooling the tongue also suppressed activity in the subfornical organ. Thus we may conclude that drinking can serve two purposes, the need for water and the need for temperature regulation.

STOP & CHECK 8. Would adding salt to the body’s extracellular fluids increase

or decrease osmotic thirst? 9. Why are you likely to feel thirst just before bedtime? Would

you feel just as thirsty if you went to sleep at an unusual time?

ANSWERS

8. Adding salt to the extracellular fluids would increase osmotic thirst because it would draw water from the cells into the extracellular spaces. 9. At bedtime, your body secretes vasopressin, which helps conserve water and also stimulates thirst. Both responses help you get through the night while you cannot drink. Your circadian rhythm trig- gers the increased vasopressin, so you would not feel as thirsty before going to sleep at an unusual time.

Hypovolemic Thirst and Sodium-Specific Hunger Suppose you lose a significant amount of body fluid by bleed- ing, diarrhea, or sweating. Although your body’s osmotic pressure stays the same, you need fluid. Your heart has trouble pumping blood to the head, and nutrients do not flow as easily as usual into your cells. Receptors in your kidneys and on your blood vessels react to the decreased blood pressure by sending messages to the brain to release vasopressin, which constricts blood vessels and conserves the fluid you still have. Also, the kidneys release the enzyme renin, which splits a portion off

Angiotensin II constricts blood vessels and stimulates cells in subfornical organ to increase drinking

Low blood volume

Proteins in blood form angiotensin I

Angiotensin I is converted to angiotensin II

Kidneys release renin into blood

Figure 9.10 Hormonal response to hypovolemia

08202_ch09_ptg01.indd 300 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.2 Thirst 301

II indicates low blood volume. Either one by itself produces only a small increase in salt intake, but their combined effect is substantial, sometimes producing a preference for

STOP & CHECK 10. Who would drink more pure water—someone with osmotic

thirst or someone with hypovolemic thirst? 11. What are the contributions of angiotensin II and

aldosterone?

ANSWERS

10. Someone with osmotic thirst would drink more water. Someone with hypovolemic thirst would drink more of a solution containing salts. 11. Angiotensin II constricts the blood vessels, and stimulates neurons that produce hypovolemic thirst. Aldosterone causes the body to retain salt, at times when blood volume is low.

Table 9.1 Osmotic and Hypovolemic Thirst

Type of Thirst Caused by

Best Relieved by

Receptor Location

Osmotic High solute concentration outside cells

Pure water OVLT, subfornical organ, and digestive tract

Hypovolemic Low blood volume

Water containing solutes, near 0.15M

Kidneys and blood vessels

salt over sugar and everything else (Geerling & Loewy, 2008). Table 9.1 summarizes the differences between osmotic thirst and hypovolemic thirst.

The Psychology and Biology of Thirst

You may have thought that temperature regulation happens automatically and that water regulation depends on your behavior. You can see now that the distinction is not entirely correct. You control your body temperature partly by auto- matic means, such as sweating or shivering, but also partly by behavioral means, such as choosing a warm or a cool place.

You control your body water partly by the behavior of drinking but also by hormones that alter kidney activity. If your kidneys cannot regulate your water and sodium adequately, your brain gets signals to change your drinking or sodium intake. In short, keeping your body’s chemical reactions going depends on both skeletal and autonomic controls.

Summary 1. Mammalian species have evolved ways of maintaining

body water, ranging from frequent drinking (beavers) to extreme conservation of fluids (gerbils). Humans alter their strategy depending on the availability of acceptable fluids. 298

2. An increase in the osmotic pressure of the blood draws water out of cells, causing osmotic thirst. Neurons in the OVLT and subfornical organ detect changes in osmotic pressure and send information to hypothalamic areas responsible for vasopressin secretion and for drinking. 298

3. The subfornical organ initiates thirst in anticipation of future need, such as during a meal and shortly before bedtime. It decreases thirst after drinking, long before the ingested water reaches the cells that need it. 299

4. Loss of blood volume causes hypovolemic thirst. To satisfy hypovolemic thirst it is necessary to drink water containing solutes. 300

5. Hypovolemic thirst is triggered by the hormone angiotensin II, which increases when blood pressure falls. 300

6. Loss of sodium salts from the body triggers a craving for salty tastes. 300

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

Module 9.2 In Closing

08202_ch09_ptg01.indd 301 9/14/17 3:34 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

aldosterone 300 angiotensin II 300 antidiuretic hormone (ADH) 298 hypovolemic thirst 300 lateral preoptic area 299

osmotic pressure 298 osmotic thirst 298 OVLT 299 paraventricular nucleus (PVN) 299 sodium-specific hunger 300

subfornical organ (SFO) 299 supraoptic nucleus 299 vasopressin 298

1. An injection of concentrated sodium chloride triggers osmotic thirst, but an injection of equally concen- trated glucose does not. Why not?

2. If all the water you drank leaked out through a tube con- nected to the stomach, how would your drinking change?

3. Many women crave salt during pregnancy. Why?

Thought Questions

1. Which of these happens after you eat something salty? A. The sodium-potassium pump becomes less active. B. The sodium-potassium pump becomes more active.

C. Salt flows into the cells. D. Water flows out of the cells.

2. What would happen as a result of adding salt to the body’s extracellular fluids? A. Increased osmotic thirst B. Decreased osmotic thirst

C. Increased hypovolemic thirst D. Decreased hypovolemic thirst

3. What does vasopressin do? A. It increases both urination and thirst. B. It decreases both urination and thirst.

C. It decreases urination and increases thirst. D. It increases urination and decreases thirst.

4. Why do you stop drinking before water reaches the cells that need it? A. Your throat is no longer dry. B. Your stomach is full.

C. Drinking inhibits neurons responsible for thirst. D. Drinking stimulates vasopressin release.

5. What is the most effective way to satisfy hypovolemic thirst? A. Drink pure water slowly. B. Drink pure water rapidly.

C. Drink water containing some salt or other solutes. D. Alternate between drinking water and drinking

alcohol.

Module 9.2 End of Module Quiz

Answers: 1D, 2A, 3C, 4C, 5C.

302 CHAPTER 9 Internal Regulation

08202_ch09_ptg01.indd 302 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

its body weight by 10 percent and then loses that amount at night (Harrison, 2008; Sharbaugh, 2001). For comparison, imagine a 50 kg (110 lb) person gaining 5 kg (11 lb) during the day and then shivering it off at night.

As a rule, people neither limit their diet as strictly as small birds do nor stuff themselves nonstop like bears. Human eating is noteworthy in that we have a relatively small digestive sys- tem for an animal of our size. A prominent speculation is that our ability to cook food (and therefore make it easier to digest) made it possible for us to evolve a smaller digestive system and nevertheless gain all the energy we need for a large brain.

Choosing which food to eat and how much to eat is an important decision. We use a wide array of learned and unlearned mechanisms to help in the process.

Digestion and Food Selection Examine the digestive system, as diagramed in Figure 9.13. Its function is to break food into smaller molecules that the cells can use. Digestion begins in the mouth, where enzymes in the saliva break down carbohydrates. Swallowed food travels

Species differ in their eating strategies. A snake or crocodile might devour a huge meal and then eat nothing more for months (see Figure 9.11). As a rule, predators have large digestive systems capable of handling infrequent but huge meals (Armstrong & Schindler, 2011). Bears eat as much as they can whenever they can. It is a sensible strategy because bears’ main foods—fruits and nuts—are available in large quantities for only short times. Bears’ occasional feasts tide them over through times of starvation. You might think of it as survival of the fattest. (Sorry about that one.)

A small bird, at the other extreme, eats only what it needs at the moment. The advantage of restraint is that low weight helps it fly away from predators, and even a few extra mil- ligrams might make a difference (see Figure 9.12). However, in cold climates, a bird needs to store a substantial amount to get through the night. To survive through Alaska winters, every night, a chickadee finds a hollowed tree or other nesting site that provides as much insulation as possible. Then it low- ers its body temperature into a state almost like hibernation. Still, it has to shiver throughout the night to prevent its body from freezing, and all that shivering requires energy. During Alaskan winters, a chickadee eats enough each day to increase

Module 9.3

Figure 9.11 A python swallowing a gazelle The gazelle weighed about 50 percent more than the snake. Many reptiles eat huge but infrequent meals. Their total intake over a year is far less than that of a mammal. We mammals need far more fuel because we use so much more energy, mainly for maintaining basal metabolism.

Figure 9.12 A great tit, a small European bird Ordinarily, when food is abundant, tits eat just what they need each day and maintain minimal fat reserves. When food is harder to find, they eat more and live off fat reserves between meals. During an era when their predators were scarce, tits started putting on more fat regardless of the food supplies.

303

Ar co

Im ag

es /R

ol fe

s, W

./A rc

o Im

ag es

G m

bH /A

la m

y St

oc k

Ph ot

o Ok

ap ia

/R ob

er t H

ar di

ng

Hunger

08202_ch09_ptg01.indd 303 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

304 CHAPTER 9 Internal Regulation

cramps, gas, and diarrhea (Ingram, Mulcare, Itan, Thomas, & Swallow, 2009; Rozin & Pelchat, 1988). The declining level of lactase may be an evolved mechanism to encourage weaning at the appropriate time.

Humans are a partial exception to this rule. Many adults have enough lactase levels to consume milk and other dairy products throughout life. However, the prevalence of the nec- essary genes varies. Nearly all the adults in China and sur- rounding countries are unable to metabolize lactose, as do varying numbers of people in other parts of the world (Curry, 2013; Flatz, 1987; Rozin & Pelchat, 1988). People who are lac- tose intolerant can consume a little milk, and larger amounts of cheese and yogurt, which are easier to digest, but they gen- erally learn to limit their intake.

The genetic ability to metabolize lactose in adulthood is common in societies with a long history of domesticated cattle. Within Africa, the distribution of ability to digest lac- tose varies sharply from place to place. Whereas Europeans who can digest lactose in adulthood all have variants of the same gene, people in various parts of Africa have genes that differ from one another and from Europeans, indicating that genes for adult lactose digestion evolved independently several times as various groups began domesticating cattle (Tishkoff et al., 2007). When cow’s milk became available, the selective pressure was strong in favor of genes enabling people to digest it. Figure 9.14 shows the distribution of lactose tolerance across the eastern hemisphere. About 25 percent of Native American adults can digest lactose. For other residents of the Americas, the probability of digesting lactose depends on the origins of their ancestors.

down the esophagus to the stomach, where it mixes with hy- drochloric acid and enzymes that digest proteins. The stom- ach stores food for a time, and then a round sphincter muscle opens at the end of the stomach to release food to the small intestine.

The small intestine has enzymes that digest proteins, fats, and carbohydrates. It also absorbs digested materials into the blood, which carries those chemicals to body cells that either use them or store them for later use. The large intestine absorbs water and minerals and lubricates the remaining materials to excrete them.

Consumption of Dairy Products Newborn mammals survive at first on mother’s milk. As they grow older, they stop nursing for several reasons: The milk supply declines, the mother pushes them away, and they begin to eat other foods. Most mammals at about the age of wean- ing lose the intestinal enzyme lactase, which is necessary for metabolizing lactose, the sugar in milk. Adult mammals can drink a little milk, but consuming too much causes stomach

Salivary glands

Mouth

Liver

Stomach

Gallbladder

Duodenum Pancreas

Esophagus

Small intestine

Large intestine

Rectum

Figure 9.13 The human digestive system STOP & CHECK 12. Why do most Southeast Asian adults avoid drinking much

milk?

ANSWER 12. Most Southeast Asian adults lack the genes that help digest lactose, the main sugar in milk.

Food Selection and Behavior Does your food selection change your behavior? Many people have unsubstantiated beliefs in this regard. For example, many people believe that eating sugar makes children hyperactive. The best way to test this claim is to have children eat snacks with sugar on randomly selected days and artificially sweetened snacks on other days, without telling them or anyone else what they received on a given day. Studies of this type have found no significant effect of sugar on children’s activity level, play behaviors, or school performance (Ells et al., 2008; Milich & Pelham, 1986). The belief that sugar causes hyperactivity is apparently an illusion based on people’s tendency to see what they expect to see.

08202_ch09_ptg01.indd 304 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 305

Short- and Long-Term Regulation of Feeding Eating is far too important to be entrusted to just one mecha- nism. Your brain gets messages from your mouth, stomach, intestines, fat cells, and elsewhere to regulate your eating.

Oral Factors You’re a busy person, right? If you could get all the nutrition you need by swallowing a pill, would you do it? Once in a while you might, but not often. People like to eat. In fact, people like to taste and chew even when they are not hungry. Figure 9.15 shows a piece of 6500-year-old chewing gum made from birch-bark tar. The small tooth marks indicate that a child or teenager chewed it. Anthropologists don’t know how the ancient people removed the sap to make the gum, and they aren’t sure why anyone would chew something that tasted as bad as this gum probably did (Battersby, 1997). Clearly, the urge to chew is strong.

Another common misconception is that eating turkey causes sleepiness, supposedly because eating turkey increases the supply of tryptophan, which enables the brain to make se- rotonin and melatonin. That idea probably originated from the observation that many people in the United States feel sleepy af- ter turkey dinner on Thanksgiving. However, turkey has only an average amount of tryptophan. The sleepiness on Thanksgiving afternoon results from overeating in general, not from turkey.

Nevertheless, it is true that tryptophan helps the brain pro- duce melatonin, which aids sleepiness. Other than taking tryp- tophan pills, the most reliable way to increase tryptophan in the brain is to eat a diet high in carbohydrates. Here is the explana- tion: Tryptophan enters the brain by an active-transport protein that it shares with phenylalanine and other large amino acids. When you eat carbohydrates, your body reacts by increasing secretion of insulin, which moves sugars into storage, and also moves phenylalanine into storage (in liver cells and elsewhere). By reducing the competition from phenylalanine, this process makes it easier for tryptophan to reach the brain, inducing sleepiness (Silber & Schmitt, 2010). In short, the dessert at your big meal induces sleepiness much more than turkey does.

On the other hand, one old belief, long dismissed as non- sense, appears to be true. That belief is that fish is brain food. Many fish, especially salmon, contain oils that support brain functioning. Mothers who eat much seafood during preg- nancy tend to have children who perform better on tests of cognitive ability, both in infancy and later (Julvez et al., 2016). Old people with a genetic risk of dementia show smaller than average cognitive declines if they consistently eat seafood (van de Rest et al., 2016).

Percentage of adult population that can digest milk

10% 90%

Figure 9.14 Percentage of adults who are lactose tolerant People in areas with high lactose toler- ance (e.g., Britain and Scandinavia) are likely to enjoy milk and other dairy products throughout their lives. Adults in areas with low tolerance (including Southeast Asia) drink less milk, if any. (Source: Curry, 2013)

Figure 9.15 Chewing gum from about 4500 b.c. The gum, made from birch-bark tar, has small tooth marks indicating that a child or adolescent chewed it. (Source: Reprinted by permission from Macmillan Publishers Ltd., “Plus c’est le meme chews,” by Stephen Battersby, Nature, 1997.)

08202_ch09_ptg01.indd 305 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

306 CHAPTER 9 Internal Regulation

also about the type and amount of nutrition. How do your in- testines “know” what you ate? You have taste receptors in your digestive tract, similar to the ones on your tongue. They do not provide you with a conscious experience, but they do alter brain activity to influence your sense of satiety (Cvijanovic, Feinle-Bisset, Young, & Little, 2015; van Avesaat et al., 2015).

Distension of the duodenum releases the hormone cholecystokinin (ko-leh-SIS-teh-KI-nehn) (CCK), which limits meal size in two ways (Gibbs, Young, & Smith, 1973). First, CCK constricts the sphincter muscle between the stomach and the duodenum, causing the stomach to hold its contents and fill more quickly than usual (McHugh & Moran, 1985; Smith & Gibbs, 1998). In that way it hastens stomach distension, the primary signal for ending a meal. Second, CCK stimulates the vagus nerve to send signals to the hy- pothalamus, causing cells there to release a neurotransmitter that is a shorter version of the CCK molecule itself (Kobelt et al., 2006; Schwartz, 2000). The process is something like sending a fax: The CCK in the intestines cannot cross the blood–brain barrier, but it stimulates cells to release some- thing almost like it. As in the case of angiotensin and thirst, the body uses the same chemical in the periphery and in the brain for closely related functions.

Given that CCK helps to end a meal, could we use it to help people who are trying to lose weight? Unfortunately, no. CCK produces short-term effects only. It limits the size of the meal, but an animal that has eaten a smaller than usual meal compensates by overeating at the next meal (Cummings & Overduin, 2007).

Could you become satiated without tasting your food? In one experiment, college students consumed lunch five days a week by swallowing one end of a rubber tube and then pushing a button to pump a liquid diet into the stomach (Jordan, 1969; Spiegel, 1973). (Yes, they were paid for participating.) After a few days of practice, each person established a consistent pat- tern of pumping in a constant volume of the liquid each day and maintaining a constant body weight. Most found the untasted meals unsatisfying, however, and reported a desire to taste or chew something (Jordan, 1969).

Could you satisfy your hunger by taste alone? In sham-feeding experiments, everything an animal swallows leaks out of a tube connected to the esophagus or stomach. Sham-feeding animals eat and swallow almost continually without becoming satiated (G. P. Smith, 1998). In short, taste contributes to satiety, but it is not sufficient.

STOP & CHECK 13. What evidence indicates that taste is not sufficient for

satiety?

ANSWER 13. Animals that sham-feed chew and taste their food but do not become satiated.

The Stomach and Intestines The main signal to end a meal is distension of the stomach. The importance of stomach distension explains why sham feeding does not satisfy hunger, and why eating satisfies your hunger before the nutrition reaches any of the cells that need it. Stomach distension was always a likely hypothesis to explain satiety, but it wasn’t easy to demonstrate. In a decisive experi- ment, researchers attached an inflatable cuff at the connec- tion between the stomach and the small intestine (Deutsch, Young, & Kalogeris, 1978). Inflating the cuff prevented food from passing to the duodenum, and deflating it allowed it to pass again. Researchers carefully ensured that the cuff was not painful to the animal and did not interfere with feeding. The key result was that, when the cuff was inflated, an animal ate a certain amount and then stopped until the cuff was deflated. Evidently, stomach distension is sufficient to produce satiety. The vagus nerve (cranial nerve X) conveys information to the brain about the stretching of the stomach walls. However, people who have had their stomach surgically removed be- cause of stomach cancer or other disease still report satiety, so mechanisms other than stomach distension can also produce satiety. Later researchers found that meals end after disten- sion of either the stomach or the duodenum (Seeley, Kaplan, & Grill, 1995).

The duodenum (DYOU-oh-DEE-num or dyuh-ODD- ehn-uhm), the part of the small intestine adjoining the stom- ach, is a major site for absorbing nutrients. Nerves from the duodenum inform the brain not only about distension, but

STOP & CHECK 14. What evidence shows that stomach distension is sufficient

for satiety? 15. What are two mechanisms by which CCK increases satiety?

ANSWERS

14. If a cuff is attached to the junction between the stomach and duodenum so that food cannot leave the stomach, an animal becomes satiated when the stomach is full. 15. When the duodenum is distended, it releases CCK, which closes the sphincter muscle between the stomach and duodenum. CCK therefore increases the rate at which the stomach distends. Also, neural signals from the intestines cause certain cells in the hypothala- mus to release CCK as a neurotransmitter, and at its receptors, it triggers decreased feeding.

Glucose, Insulin, and Glucagon Digestion converts much of a meal into glucose, an impor- tant source of energy throughout the body and nearly the only fuel of the brain. Two pancreatic hormones, insulin and glucagon, regulate the flow of glucose into cells. Immediately before a meal (as you react to the sight and smell of the food), as well as during and after a meal, the pancreas increases

08202_ch09_ptg01.indd 306 9/14/17 10:20 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 307

deposit much of each meal as fat and glycogen, grow hungry again, and continue gaining weight (see Figure 9.17). That weight gain is a valuable preparation for a season when the animal will have to survive off its fat reserves. Most humans also eat more in autumn than in other seasons, as shown in Figure 9.18 (de Castro, 2000). In the United States, we tend to blame our autumn weight gain on the Halloween and Thanksgiving holidays, but the real reason is probably an evolved drive to increase our reserves in preparation for winter. In ancient times, food was scarce in winter.

If the insulin level remains constantly low, as in people with type 1 diabetes, blood glucose levels may be three or more times the normal level, but little of it enters the cells

release of insulin, which enables glucose to enter the cells. The brain cells are an exception, because glucose can enter them without need for insulin. Some of the excess glucose produced by a meal enters the liver, which converts it to gly- cogen and stores it. Some also enters fat cells, which convert it to fat and store it. The net effect prevents blood glucose levels from rising too sharply.

As time passes after a meal, the blood glucose level falls, insulin levels drop, glucose enters the cells more slowly, and hunger increases (Pardal & López-Barneo, 2002) (see Figure 9.16). The pancreas increases release of glucagon, stimulating the liver to convert some of its stored glycogen back to glucose.

If the insulin level stays constantly high, the body con- tinues moving blood glucose into the cells, including the liver cells and fat cells, long after a meal. Before too long, blood glucose drops, because glucose is leaving the blood without any new glucose entering. The result is increased hunger. In autumn, animals that are preparing for hiber- nation have constantly high insulin levels. They rapidly

Hunger

Eating

Insulin helps glucose enter cells for use or

storage. Hunger decreases.

Blood glucose levels decline. Insulin levels

decrease.

Glucagon release increases. Some

stored supplies are converted to glucose,

which enters the blood, slowing the return of hunger.

Blood glucose increases. Insulin release increases.

Figure 9.16 Insulin and glucagon feedback system When glucose levels rise, the pancreas releases the hormone insulin, which helps glucose enter cells, including liver cells and fat cells that store fuel for future use. The entry of glucose into cells suppresses hunger and decreases eating, thereby lowering the glucose level.

Rapid return of hunger

Eating

Insulin helps glucose enter cells. Hunger

temporarily decreases.

Blood glucose levels decline but

insulin levels do not.

Blood glucose increases. Insulin

level is high.

Figure 9.17 Effects of steady high insulin levels on feeding Constantly high insulin causes blood glucose to be stored as fats and glycogen. Because it becomes difficult to mobilize the stored nutrients, hunger returns soon after each meal.

2100

2000

1900

1800

D ai

ly c

o n

su m

p ti

o n

in c

al o

ri es

W int

er

Sp rin

g

Su m

m er Fa

ll

W int

er

Sp rin

g

Su m

m er Fa

ll

Figure 9.18 People eat more in fall than in other seasons Mean intake increases by more than 10 percent, on the average, according to people’s eating diaries. (Source: Modified from de Castro, J. M., 2000, Eating behavior: Lessons from the real world of humans. Nutrition, 16, 800–813.)

08202_ch09_ptg01.indd 307 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

308 CHAPTER 9 Internal Regulation

Imagine what would happen if you consistently ate either too little or too much. The body needs a long-term mechanism to compensate for day-to-day mistakes.

It does so by monitoring fat supplies. Researchers had long suspected some kind of fat monitoring, but they discovered the actual mechanism by accident. They found that mice of a par- ticular genetic strain consistently become obese, as shown in Figure 9.20 (Zhang et al., 1994). After researchers identified the responsible gene, they found the peptide it makes, a previously unknown hormone that they named leptin, from the Greek word leptos, meaning “slender” (Halaas et al., 1995). Unlike insu- lin, which is so evolutionarily ancient that we find it throughout the animal kingdom, leptin is limited to vertebrates (Morton, Cummings, Baskin, Barsh, & Schwartz, 2006). In genetically normal mice, as well as humans and other species, the body’s fat cells produce leptin: The more fat cells, the more leptin. Mice with a mutation in the leptin gene fail to produce leptin.

Leptin signals your brain about your fat reserves. When your fat reserves decrease, leptin levels decline, and you react by eating more and becoming less active, to save energy. When leptin levels return to normal, you eat less and become more active (Campfield, Smith, Guisez, Devos, & Burn, 1995; Elias et al., 1998). In adolescence, a certain level of leptin triggers the onset of puberty. If your fat supply is too low to provide for your own needs, you don’t have enough energy to provide for a baby. On the average, thinner people enter puberty later. Leptin also activates the sympathetic nervous system and in- creases blood pressure (Mark, 2013).

Because a mouse with a mutation in the leptin gene does not make leptin, its brain reacts as if its body has no fat stores and must be starving. The mouse eats as much as possible, conserves its energy by not moving much, and fails to enter puberty. Injections of leptin reverse these symptoms: The mouse then eats less, becomes more active, and enters pu- berty (Pelleymounter et al., 1995).

(see Figure 9.19). People and animals with diabetes eat more food than normal because their cells are starving (Lindberg, Coburn, & Stricker, 1984), but they excrete most of their glu- cose, and they lose weight. Note that either prolonged high or prolonged low insulin levels increase eating, but for different reasons and with different effects on body weight.

Blood glucose levels stay high

but cells are starving.

Eating Blood glucose increases but insulin

level is low.

Glucose does not enter cells; leaves in

urine and feces instead. Hunger remains high.

Hunger

Figure 9.19 People with untreated type 1 diabetes eat much but lose weight Because of their low insulin levels, the glucose in their blood cannot enter the cells, either to be stored or to be used. Consequently, they excrete glucose in their urine while their cells are starving.

STOP & CHECK 16. Why do people with very low insulin levels eat so much?

Why do people with constantly high levels eat so much? 17. What would happen to someone’s appetite if insulin levels

and glucagon levels were both high?

ANSWERS

16. Those with very low levels, as in type 1 diabetes, can- not get glucose to enter their cells, and therefore, they are constantly hungry. They pass much of their nutrition in the urine and feces. Those with constantly high levels deposit much of their glucose into fat and glycogen, so within a short time after a meal, the supply of blood glucose drops. 17. When glucagon levels rise, stored glycogen is converted to glucose, which enters the blood. If insulin levels are high also, the glucose entering the blood is free to enter all the cells. So the result would be decreased appetite.

Leptin Taste, stomach distension, duodenum distension, and insu- lin help regulate the onset and offset of a meal. However, we cannot expect those mechanisms to be completely accurate.

Figure 9.20 The effects of a mutation in the leptin gene on body weight Mice with this gene eat more, move around less, and gain weight. (Source: Reprinted by permission from Macmillan Publishers Ltd: Nature, Positional cloning of the mouse obese gene and its human homologue, Zhang et al., 1994.)

08202_ch09_ptg01.indd 308 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 309

Brain Mechanisms How does your brain decide when you should eat and how much? Hunger depends on the contents of your stomach and intestines, the availability of glucose to the cells, and your body’s fat supplies, as well as your health and body temperature. Furthermore, if someone offers you a tasty treat, you might enjoy eating it even if you were not hungry. Just seeing a picture of highly appealing food increases your appetite (Harmon-Jones & Gable, 2009). People eat more on weekends than on other days, and more when eating with friends or family than when eating alone (de Castro, 2000). All these types of information converge onto several nuclei of the hypothalamus (see Figure 9.6).

As shown in Figure 9.21, many kinds of information im- pinge onto two kinds of cells in the arcuate nucleus of the hypothalamus, which is regarded as the master area for con- trolling appetite (Mendieta-Zéron, López, & Diéguez, 2008). Axons extend from the arcuate nucleus to other areas of the hypothalamus. Even though this figure leaves out some of the neurotransmitters and other complexities, it may be intimi- dating. Let’s go through the key mechanisms step by step.

The Arcuate Nucleus and Paraventricular Hypothalamus The arcuate nucleus of the hypothalamus has one set of neu- rons sensitive to hunger signals and a second set sensitive to satiety signals. In Figure 9.21, excitatory paths are noted in

As you might imagine, news of this research inspired pharmaceutical companies to hope they could make a for- tune by selling leptin. After all, the body makes leptin all the time, so it should not have unpleasant side effects. Leptin does produce important benefits for those rare people who are ge- netically unable to make leptin. However, the great majority of overweight people produce plenty of leptin, and giving them extra leptin produces little change in their appetite (Considine et al., 1996). At first, the interpretation was that overweight people must have developed a resistance to insulin. However, later research found that extra leptin also produces little effect on normal-weight people. Low levels of leptin trigger hunger, but beyond a certain level, additional leptin only weakly sup- presses intake (Ravussin, Leibel, & Ferrante, 2014). In fact, in general the mechanisms that promote hunger are stronger and more insistent than those for satiety. Evolution has appar- ently prepared us to avoid starvation more vigorously than we avoid eating too much.

STOP & CHECK 18. Why are leptin injections less helpful for most overweight

people than for mice with a mutation in the leptin gene?

ANSWER 18. Those mice fail to produce leptin. Nearly all over- weight people produce enough leptin, and extra leptin only weakly suppresses appetite.

Ghrelin (hunger signal)

GhrelinNPY, AgRP, & GABA

Glutam ate an

d

melan ocortin

Taste input

Leptin (long-term

satiety signal)

Insulin (intermediate-term

satiety signal)

CCK (short-term

satiety signal)

Two kinds of neurons in the arcuate nucleus of the hypothalamus

Other brain areas

Orexin/hypocretin (increases arousal & motivation)

Output to other areas, including cerebral cortex and brainstem. Output increases feeding.

Suppressed eating during illness; avoidance of foods previously associated with illness

Two kinds of neurons in the lateral nucleus of the hypothalamus

Neurons in the paraventricular nucleus of the hypothalamus

Response to highly palatable foodsGlucose and

other nutrients

Amygdala and related areas

Hunger- motive

Satiety- motive

GABA

Figure 9.21 Hypothalamic transmitters of feeding Hunger signals increase feeding by inhibiting inhibitory messages to the lateral hypothalamus. (Source: Based on Horvath, 2005; Minokoshi et al., 2004; O’Connor et al., 2015.)

08202_ch09_ptg01.indd 309 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

310 CHAPTER 9 Internal Regulation

find a safe drug that would stimulate melanocortin receptors as a weight-reduction treatment. However, every drug tested so far has unacceptable side effects (Krashes, Lowell, & Garfield, 2016). The amygdala and related areas send two kinds of input to the lateral hypothalamus. One path inhibits eating during ill- ness and mediates aversion to foods previously associated with illness (Carter, Soden, Zweifel, & Palmiter, 2013). The other path stimulates eating in response to highly tasty foods (Jennings, Rizzi, Stamatakis, Ung, & Stuber, 2013). If you cannot resist eating that delicious hot fudge sundae even though you weren’t hungry at all, you can blame these axons.

An additional pathway from the paraventricular nucleus leads to cells in the lateral hypothalamus that release orexin (Fu, Acuna-Goycolea, & van den Pol, 2004). We encountered these neurons in Chapter 8 because a deficiency of orexin leads to narcolepsy. In addition to its role in wakefulness, orexin has two roles in feeding. First, it increases animals’ persistence in seeking food (Williams, Cai, Elliott, & Harrold, 2004). Second, orexin increases activity and motivation in general (Mahler, Moorman, Smith, James, & Aston-Jones, 2014).

Note the output from hunger-sensitive neurons in the ar- cuate nucleus to “other brain areas.” When an animal becomes hungry to the point of possible starvation, it will do whatever is necessary to get food, but it suppresses almost all other activi- ties. An animal that would ordinarily fight to defend its territory will instead ignore an intruder or run away. It also ceases mating behaviors (Padilla et al., 2016). Hungry people will also sacrifice other goals to get food. Researchers found that people who con- sider themselves honest will cheat at a game to win food when

green, and inhibitory paths are in red. Most journal articles refer to one set of arcuate nucleus neurons as the “NPY/AgRP” neurons and the others as the “POMC/CART” neurons (be- cause of some distinctive neurotransmitters that they release), but for simplicity this text will refer to them as hunger neurons and satiety neurons. The input to these cells comes from cer- tain hormones such as insulin and leptin, but also from cells in the amygdala, basal forebrain, and thalamus (Cai, Haubensak, Anthony, & Anderson, 2014; Herman et al., 2016; Labouèbe, Boutrel, Tarussio, & Thorens, 2016).

Part of the input to the hunger-sensitive cells comes from axons releasing the neurotransmitter ghrelin (GRELL-in). This odd-looking word takes its name from the fact that it binds to the same receptors as growth-hormone releasing hor- mone (GHRH). The stomach releases ghrelin during a period of food deprivation, where it triggers stomach contractions. Ghrelin also acts on the hypothalamus to increase appetite. People who produce greater than average amounts of ghre- lin respond more strongly than average to the sight of food, and they are almost twice as likely as other people to become obese (Karra et al., 2013).

The satiety-sensitive cells of the arcuate nucleus receive several types of input. Distension of the intestines triggers neurons to release the neurotransmitter CCK, a short-term signal (Fan et al., 2004). Blood glucose (a short-term signal) directly stimulates satiety cells in the arcuate nucleus (Parton et al., 2007) and prompts the pancreas to release insulin, which also stimulates the satiety cells. Body fat releases leptin, a long-term satiety signal (Diéguez, Vazquez, Romero, López, & Nogueiras, 2011). Nicotine also stimulates the satiety neu- rons (Mineur et al., 2011). The result is that cigarette smoking decreases appetite, and quitting smoking increases appetite, leading to weight gain.

Much of the output from the arcuate nucleus goes to the paraventricular nucleus (PVN) of the hypothalamus. Certain types of cells in the paraventricular nucleus inhibit the lateral hypothalamus, an area important for eating (Sutton et al., 2014). In Figure 9.21, notice how the hunger cells in the arcuate nucleus inhibit the paraventricular nucleus and the paraven- tricular nucleus inhibits the lateral hypothalamus. The in- hibitory transmitters here are a combination of GABA (Tong, Jones, Elmquist, & Lowell, 2008), neuropeptide Y (NPY) (Stephens et al., 1995), and agouti-related peptide (AgRP) (Kas et al., 2004). Inhibiting an inhibitor produces net excita- tion, and that is how the stimuli for hunger increase eating and arousal. If the inhibition of the paraventricular nucleus is strong enough, rats eat huge meals, as tastelessly illustrated in Figure 9.22 (Billington & Levine, 1992; Leibowitz & Alexan- der, 1991; Morley, Levine, Grace, & Kneip, 1985).

Axons from the satiety-sensitive cells of the arcuate nucleus deliver an excitatory message to the paraventricular nucleus, re- leasing melanocortins (Ellacott & Cone, 2004) and glutamate (Fenselau et al., 2017). Melanocortin receptors in the paraven- tricular nucleus are important for limiting food intake, and any- thing that damages these receptors leads to overeating (Asai et al., 2013; Huszar et al., 1997). Researchers have attempted to

Figure 9.22 Effects of inhibiting the paraventricular nucleus of the hypothalamus On the left is the digestive system of a normal rat. On the right is the digestive system of a rat that had its paraventricular hypothalamus chemi- cally inhibited. The rat continued eating even though its stomach and intestines distended almost to the point of bursting. (Yeah, this is a little bit disgusting.) (Source: Reprinted from “Peptide YY (PYY) a potently orexigenic agent,” by J. E. Morley, A. S. Levine, M. Grace, and J. Kneip, 1985, Brain Research, 341, no. 1, pp. 200–203, with permission of Elsevier.)

08202_ch09_ptg01.indd 310 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 311

they are hungry, although they would not cheat to win something else, such as a pen (Williams, Pizarro, Ariely, & Weinberg, 2016).

As you can see, many chemicals and brain areas con- tribute to feeding and satiety. One consequence is that if the control of feeding goes wrong in one way, the brain has many other mechanisms to compensate for it. A closely related point is that researchers could develop drugs to control appetite by working on many routes—leptin, insulin, NPY, and so forth— but changing any one circuit might be ineffective because of compensations by the others.

STOP & CHECK 19. Name three hormones that increase satiety and one that

increases hunger. 20. Which neuropeptide from the arcuate nucleus to the

paraventricular nucleus is most important for satiety?

ANSWERS 19. Insulin, CCK, and leptin increase satiety. Ghrelin increases hunger. 20. Melanocortin

The Lateral Hypothalamus Output from the paraventricular nucleus acts on the lateral hypothalamus (see Figure 9.23), which includes so many neuron clusters and passing axons that it has been com- pared to a crowded train station (Leibowitz & Hoebel, 1998). The lateral hypothalamus controls insulin secretion, alters taste responsiveness, and facilitates feeding in other ways. An animal with damage in this area refuses food and water, averting its head as if the food were distasteful. The animal may starve to death unless it is force-fed, but if kept alive, it gradually recovers much of its ability to eat (see Figure 9.24).

Corpus callosum

Third ventricle

Lateral ventricles Cerebral cortex

Basal ganglia

Paraventricular hypothalamus

Lateral hypothalamus

Ventromedial hypothalamus

Figure 9.23 The lateral hypothalamus, ventromedial hypothala- mus, and paraventricular hypothalamus The side view above indicates the plane of the coronal section of the brain below it. (Based on Hart, 1976)

Plain water

Sugar water

Plain water

Sugar water

Plain water

Sugar water

Plain water

Stage 1. Aphagia and adipsia. Rat refuses all food and drink; must be force- fed to keep it alive.

Stage 2. Anorexia. Rat eats a small amount of palatable foods and drinks sweetened water. It still does not eat enough to stay alive.

Stage 3. Adipsia. The rat eats enough to stay alive, though at a lower-than- normal body weight. It still refuses plain water.

Stage 4. Near-recovery. The rat eats enough to stay alive, though at a lower-than-normal body weight. It drinks plain water, but only at meal- times to wash down its food. Under slightly stressful conditions, such as in a cold room, the rat will return to an earlier stage of refusing food and water.

In contrast, stimulation of the lateral hypothalamus increases the drive to eat.

Damage to the lateral hypothalamus not only kills the neu- rons there, but also interrupts many axons containing dopamine that pass through the area. To separate the roles of hypothalamic cells from those of passing fibers, experimenters used chemicals that damage only the cell bodies, or induced lesions in very young

Figure 9.24 Recovery after damage to the lateral hypothalamus At first, the rat refuses all food and drink. If kept alive for several weeks or months by force-feeding, it gradually recovers its ability to eat and drink enough to stay alive. However, even at the final stage of recovery, its behavior is not the same as that of normal rats. (Based on Teitelbaum & Epstein, 1962)

08202_ch09_ptg01.indd 311 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

312 CHAPTER 9 Internal Regulation

Medial Areas of the Hypothalamus Output from the ventromedial hypothalamus (VMH) inhib- its feeding (Chee, Myers, Price, & Colmers, 2010), and there- fore damage to this nucleus leads to overeating and weight gain (see Figure 9.23). Some people with a tumor in that area have gained more than 10 kg (22 lb) per month (Al-Rashid, 1971; Killeffer & Stern, 1970; Reeves & Plum, 1969). Rats with similar damage sometimes double or triple their weight (see Figure 9.26). Although these symptoms have been known as the ventromedial hypothalamic syndrome, damage limited to just the ventromedial hypothalamus does not consistently in- crease eating or body weight. To produce a large effect, the lesion must extend outside the ventromedial nucleus to invade nearby axons (Ahlskog & Hoebel, 1973; Ahlskog, Randall, & Hoebel, 1975; Gold, 1973). Neurons within the ventromedial hypothalamus itself participate in many other behaviors, in- cluding defense against attackers (Silva et al., 2016).

Recall that rats with damage to the paraventricular nucleus eat larger than average meals. In contrast, those with damage in the ventromedial area eat normal-sized meals, but they eat more frequently (Hoebel & Hernandez, 1993). One reason is that they have increased stomach motility and secretions, and their stom- ach empties faster than normal. The faster the stomach empties, the sooner the animal is ready for its next meal. Another reason for their frequent meals is that the damage increases insulin pro- duction (B. M. King, Smith, & Frohman, 1984), and therefore, much of each meal is stored as fat. If animals with this kind of damage are prevented from overeating, they gain weight anyway! According to Mark Friedman and Edward Stricker (1976), the problem is not that the rat gets fat from overeating. Rather, the rat overeats because it is storing so much fat. The high insulin levels

rats, before the dopamine axons reached the lateral hypothala- mus. In both cases, damaging the cell bodies produced a loss of feeding without impairing arousal or activity (Almli, Fisher, & Hill, 1979; Grossman, Dacey, Halaris, Collier, & Routtenberg, 1978; Stricker, Swerdloff, & Zigmond, 1978). In contrast, the axons passing through the lateral hypothalamus contribute to arousal, activity, and reward (Stuber & Wise, 2016). Figure 9.25 shows the ways in which the lateral hypothalamus promotes eating:

●● Axons from the lateral hypothalamus to the NTS (nucleus of the tractus solitarius), part of the taste pathway, alter the taste sensation and the salivation response to the tastes. When the lateral hypothalamus detects hunger, it sends messages that make the food taste better.

●● Axons from the lateral hypothalamus extend into several parts of the cerebral cortex, facilitating ingestion and swal- lowing and causing cortical cells to increase their response to the taste, smell, or sight of food (Critchley & Rolls, 1996).

●● The lateral hypothalamus increases the pituitary gland’s secretion of hormones that increase insulin secretion.

●● The lateral hypothalamus sends axons to the spinal cord, controlling autonomic responses such as digestive secre- tions (van den Pol, 1999). An animal with damage to the lateral hypothalamus has trouble digesting foods.

Nucleus accumbens (control of ingestion and swallowing)

Prefrontal cortex (food-seeking behaviors)

Hypothalamus

Thalamus

Nucleus of the tractus solitarius (NTS)

Somatosensory cortex (taste perception)

Figure 9.25 Pathways from the lateral hypothalamus Axons from the lateral hypothalamus modify activity in several other brain areas, changing the response to taste, facilitating ingestion and swallowing, and increasing food-seeking behav- iors. Also (not shown), the lateral hypothalamus controls stomach secretions.

STOP & CHECK 21. In what ways does the lateral hypothalamus facilitate feeding?

ANSWER

21. Activity of the lateral hypothalamus improves taste, enhances cortical responses to food, and increases secre- tions of insulin and digestive juices.

08202_ch09_ptg01.indd 312 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 313

400

300

200

30

10

10 20 30

DaysOperation Fo

o d

in ta

ke (

g ra

m s)

B o

d y

w ei

g h

t (g

ra m

s)

Control rat

Rat with bilateral VMH lesion

40 50 60

(b)(a)

Figure 9.26 Effects of damage to the ventromedial hypothalamus (a) On the right is a normal rat. On the left is a rat after damage to the ventromedial hypothalamus. A brain-damaged rat may weigh up to three times as much as a normal rat. (Yoav Levy/Phototake) (b) Weight and eating after damage to the ventromedial hypothalamus. Within a few days after the operation, the rat begins eating much more than normal. (Reprinted by permission of the University of Nebraska Press from “Disturbances in feeding and drinking behavior after hypothalamic lesions,” by P. Teitelbaum, pp. 39–69, in M. R. Jones, Ed., 1961, Nebraska Symposium on Motivation. Copyright © 1961 by the University of Nebraska Press. Copyright © renewed 1988 by the University of Nebraska Press.)

STOP & CHECK 22. In what way does eating increase after damage in and

around the ventromedial hypothalamus? After damage to the paraventricular nucleus?

ANSWER

22. Animals with damage to the ventromedial hypothalamus eat more frequent meals. Animals with damage to the para- ventricular nucleus of the hypothalamus eat larger meals.

Hypothalamic Area Effect of Lesion

Preoptic area Deficit in physiological mechanisms of temperature regulation

Lateral preoptic area Deficit in osmotic thirst due partly to damage to cells and partly to interruption of passing axons

Lateral hypothalamus Undereating, weight loss, low insulin level (because of damage to cell bodies); underarousal, underresponsiveness (because of damage to passing axons)

Ventromedial hypothalamus

Increased meal frequency, weight gain, high insulin level

Paraventricular nucleus Increased meal size, especially increased carbohydrate intake during the first meal of the active period of the day

Table 9.2 Effects of Hypothalamic Lesion

keep moving blood glucose into storage, even when the blood glucose level is low. Despite the weight gain, most of the body’s cells are starving for nutrition. The result is increased hunger.

Table 9.2 summarizes the effects of lesions in several ar- eas of the hypothalamus.

Eating Disorders Insulin, leptin, glucose, CCK, and other influences provide for homeostatic control of feeding. However, the homeostatic mechanisms often fail. In particular, obesity has become a widespread problem in much of the world. Perhaps we should not be surprised. Throughout human evolution and even be- fore that, our ancestors frequently faced food shortages, and evolution predisposed us to eat heartily whenever good food was available. If we offer rats an all-you-can-eat buffet of tasty, high-calorie foods, they respond by becoming obese (Geiger et al., 2009). Instead of asking why so many people become obese, maybe we should ask why everyone in a prosperous country does not become obese! Meanwhile, other people suffer from anorexia, in which they refuse to eat enough to

08202_ch09_ptg01.indd 313 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

314 CHAPTER 9 Internal Regulation

melanocortin receptor (important for satiety) overeat and become obese from childhood onward (Mergen, Mergen, Ozata, Oner, & Oner, 2001). Several other rare genes can also cause monogenic obesity (van der Klaauw & Farooqi, 2015). However, single-gene mutations account for only a few percent of cases of severe obesity (Yeo & Heisler, 2012). The third type, polygenic or common obesity, relates to many genes, each of which slightly increases the probabil- ity of obesity (Albuquerque et al., 2015). A combination of a few such genes produces more effect than any one by itself. The first such gene to be demonstrated with replicable re- sults is a variant form of the FTO gene that raises someone’s probability of obesity to about two-thirds greater than the average level (Frayling et al., 2007). Exactly how the FTO gene operates is uncertain, as is the mechanism for other genes that influence weight gain. Some may affect hunger, but others may influence activity levels, digestion, or basal metabolism.

The effects of a gene depend on the environment. Con- sider the Native American Pima of Arizona and Mexico. Most are seriously overweight, and researchers have identi- fied several genes associated with the increased risk (Bian et al., 2010; Muller et al., 2010). However, obesity was un- common among them in the early 1900s, when their diet consisted mostly of desert plants that ripen in the brief rainy season. The Pima apparently evolved a strategy of eating all they could when food was available, because it would have to carry them through periods of scarcity. They also evolved a tendency to conserve energy by limiting their activity. Now, with a more typical U.S. diet that is high in calories, the strategy of overeating and inactivity is mal- adaptive. In short, their weight depends on the combina- tion of genes and environment. Neither one by itself has this effect.

survive, or bulimia, in which they alternate between eating too much and eating too little. Certainly hunger researchers have much to try to explain.

Given that only some people become obese, it is rea- sonable to ask what makes some people more vulnerable than others. For a time, it was popular to assume that obe- sity was a reaction to psychological distress. True, many distressed people cheer themselves up temporarily by eat- ing rich foods. The sight of tasty food activates reward centers in almost anyone’s brain, and the effect is bigger in dieters who have just had a bad experience (Wagner, Boswell, Kelley, & Heatherton, 2012). However, in the long run, mood has only a weak relationship to weight gain. One study found obesity in 19 percent of people with a history of depression and in 15 percent of those who had never suffered depression (McIntyre, Konarski, Wilkins, Soczynska, & Kennedy, 2006). Another study found that the average adult with depression gained about a pound per year, whereas the average for everyone else was about 8/10 of a pound (Brumpton, Langhammer, Romundstad, Chen, & Mai, 2013).

Another possible influence is prenatal environment. A study in rats found that if a mother consumed a high-fat diet during pregnancy, her babies developed a larger than average lateral hypothalamus and produced more than the average amount of orexin and other transmitters that fa- cilitate increased eating (Chang, Gasinskaya, Karatayev, & Leibowitz, 2008). These changes persisted throughout life. In short, exposure to a high-fat diet before birth predis- poses the offspring to increased appetite and body weight. This example illustrates epigenetic effects, as described in Chapter 4: An experience can alter the expression of the genes.

Genetics and Body Weight You have probably noticed that most thin parents have thin children, and most heavy parents have heavy children. Studies of twins and adopted children in many countries have consistently found high heritability of body weight (Albuquerque, Stice, Rodríguez-López, Manco, & Nóbrega, 2015; Min, Chiu, & Wang, 2013; Silventoinen et al., 2016). Researchers distinguish three types of heritability for obesity. One type, syndromal obesity, results when a gene causes a medical problem that includes obesity. For example, Prader-Willi syndrome is marked by mild cogni- tive disabilities, short stature, and obesity. People with this syndrome have blood levels of ghrelin four to five times higher than average (Cummings et al., 2002). Ghrelin, you will recall, is a peptide related to food deprivation. The fact that people with Prader-Willi syndrome overeat and still produce high ghrelin levels suggests that their problem re- lates to an inability to turn off ghrelin release.

A second type, monogenic obesity, occurs when a sin- gle gene leads to obesity without other physical or mental abnormalities. People with a mutation in the gene for the

STOP & CHECK 23. Why did the Pima begin gaining weight in the mid-1900s?

ANSWER

23. They shifted from a diet of local plants that were seasonally available to a calorie-rich diet that is available throughout the year.

Weight Loss Techniques In the United States, obesity is considered a disease, and never mind the fact that we don’t have a clear definition of what we mean by disease. One positive consequence of calling it a dis- ease is that people are relieved from thinking of themselves as morally guilty for being overweight. Another consequence is that insurance companies will now pay treatment providers to help relieve obesity. A possible negative consequence is that some may decide that they have no control and may as well quit trying to lose weight.

08202_ch09_ptg01.indd 314 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 315

unpleasant side effects, and most physicians avoid prescrib- ing them. Still another option is gastric bypass surgery, in which part of the stomach is sewed off so that food cannot enter. Remember that stomach distension is a major con- tributor to satiety. By decreasing stomach size, the surgery makes it possible for a smaller meal to produce satiety. The surgery poses enough risk that it is recommended only in fairly serious cases of obesity, but in about two-thirds of cases, it does help people lose excess weight, improve their blood pressure, and decrease the risk of type 2 diabetes (Puzziferri et al., 2014).

Here is still another option, experimental and con- troversial: People’s digestive systems have thousands of species of microorganisms that help digest the foods and perform many other functions, some helpful to us and some harmful (Cryan & Dinan, 2012). The types of micro- organisms found in people with obesity differ from those in leaner people. Researchers working with mice found that transferring microorganisms from lean mice to obese mice helped the obese mice lose weight (Ridaura et al., 2013). Umm . . . to be more specific, what they did was to trans- plant feces from one digestive system to another. Might this work with humans?

You will hear advocates of a particular diet plan brag that many people on their plan lost a significant amount of weight. That statement may be true, but it means little unless we know how long they kept the weight off, or how many other people tried the plan and failed to lose weight. In fact, few people on any diet lose much weight and keep it off permanently. Many psychologists now recommend small changes in diet (“eat a little less than usual”) on the expectation that more people will stick to this diet (Stroebele et al., 2008). Another recommendation is to promote good health by getting good nutrition and physical exercise, re- gardless of what happens to weight (Mann, Tomiyama, & Ward, 2015). For exercise to be helpful, it does not need to be strenuous, but it needs to be sustained, such as brisk walking for an hour a day on most days (Wyatt, 2013).

Particularly important advice is to reduce or elimi- nate the intake of soft drinks. Researchers have found that people who consume at least one soft drink per day are more likely than others to be overweight, and if they are not already overweight, they are more likely than oth- ers to become overweight (Dhingra et al., 2007; Liebman et al., 2006). Around 1970, American companies began sweetening their beverages with high-fructose corn syrup instead of sugar. Fructose is somewhat sweeter than com- mon table sugar, and the hope was that people could satisfy their craving for sweets with fewer calories. Clearly, this idea didn’t work, as obesity has become more common, not less common, since then. It is possible that fructose actually increases the problem. Whereas glucose (another common sugar) stimulates release of leptin and insulin that help re- duce hunger, fructose has little effect on leptin or insulin (Teff et al., 2004). Therefore, if you drink something with fructose, you gain calories without feeling satiated. Also, if you consume much fructose, the body stores most of it as fat (Bray, Nielsen, & Popkin, 2004). Laboratory studies have shown that rats that are offered drinks containing fructose develop obesity, type 2 diabetes, and high blood pressure (Tappy & Lê, 2010).

Another idea was to sweeten beverages with nonnutri- tive sweeteners, in hopes of satisfying a craving for sweets without any calories at all. Again, this idea has been inef- fective. Since the advent of diet drinks, obesity has contin- ued to increase in prevalence, and consumption of sugars has increased. That is, many people use the diet drinks but maintain or increase their sugar intake in other ways. Fur- thermore, consumption of artificial sweeteners increases the abundance of the types of intestinal bacteria that are associated with type 2 diabetes (Suez et al., 2014).

Apparently there is no such thing as “satisfying” a craving for sweet tastes. Eating sweet, high-calorie food increases the preference for similar foods for days afterward, and people who gain weight increase their enjoyment of sweet, high-calorie foods (Liu et al., 2016; Stice & Yokum, 2016).

When diet and exercise fail to help someone lose weight, another option is weight-loss drugs. Unfortunately, most of the drugs that help people lose weight produce

STOP & CHECK 24. For someone who is trying to lose weight, why would it be a

good idea to cut down on sweets altogether?

ANSWER

24. Sugars provide many calories. Although fructose pro- vides fewer calories for a given amount of sweet taste, it is less effective at triggering a sense of satiety. People who try to satisfy their sweet cravings with artificial sweeteners do not generally cut down on total calories. Furthermore, arti- ficial sweeteners promote the types of intestinal bacteria that are associated with type 2 diabetes.

Bulimia Nervosa Bulimia nervosa is a condition in which people alternate between binges of overeating and periods of strict diet- ing. Many, but not all, induce themselves to vomit. In the United States, about 1.5 percent of women and 0.5 percent of men develop bulimia at some time in life. It has become more common over the years. That is, bulimia is more com- mon among young people today than it ever was in their parents’ generation and more common in their parents’ generation than in their grandparents’. The increase is pre- sumably due to the increased availability of large quantities of tasty high-calorie foods.

On average, people with bulimia show a variety of biochem- ical abnormalities, including increased production of ghrelin, a hormone associated with increased appetite (Monteleone, Serritella, Scognamiglio, & Maj, 2010). The biochemistry is probably a result of the binges and purges, rather than a cause.

08202_ch09_ptg01.indd 315 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

316 CHAPTER 9 Internal Regulation

do not have large numbers of relatives with depression, and they do not respond well to antidepressive drugs or psychotherapy.

An alternative view is that the primary problem is the weight loss itself. Imagine a ballet dancer, competitive athlete, or other young person who follows a strict diet to lose weight quickly. What might happen? We can model some—of course not all—of the symptoms of anorexia in rats. Force the rats onto a diet of eating for no more than one hour per day, keep them in a cool room, and provide a running wheel. Digesting food generates heat, but within an hour or two after eating, a rat starts to feel cold and reacts by running in the wheel, generating body heat but also burning calories. On this schedule, a rat loses a little weight each day. After losing a fair amount of weight, the rat stops eating even when food is available, and unless the experimenter intervenes, the rat can die of starvation in the presence of food. None of this happens in a warmer room (Cerrato, Carrera, Vazquez, Echevarria, & Gutiérrez, 2012). (Here is another example of temperature regulation influencing behavior in a surprising way!)

So, one hypothesis is that someone who diets to lose weight begins running or other exercise, especially on colder days (Carrera et al., 2012), and as a result loses more and more weight. A treatment based on this idea starts by keeping the person warm, either by wearing a jacket or staying in a warm room. Physical exercise is strictly lim- ited. Then, to overcome the person’s fear of overeating and becoming fat, food is put on a special plate connected to a computer that monitors food intake. The person tries to eat at the normal, average pace, with feedback like a video game. Six European clinics tried this approach with 571 patients. Within 13 months, three-fourths were fully recovered, and none had died (Bergh et al., 2013). That success rate is far better than what any other treatment can claim. Certainly, more research is necessary. So far, this approach is not well known in North America.

After therapy that decreases the symptoms of bulimia, the ghrelin and other body chemicals return toward normal levels (Tanaka et al., 2006).

In important ways, bulimia resembles drug addiction (Hoebel, Rada, Mark, & Pothos, 1999). Eating tasty foods activates the same brain areas as addictive drugs, such as the nucleus accumbens. Drug addicts who cannot get drugs sometimes overeat instead, and food-deprived people or ani- mals become more likely than others to use drugs.

Researchers examined rats that were food deprived for 12 hours a day, including the first 4 hours of their wakeful period, and then offered a very sweet, syrupy sugar solu- tion. Over several weeks on this regimen, the rats drank more and more each day, especially during the first hour of availability each day. The intake released dopamine and opioid (opiatelike) compounds in the brain, similar to the effects of highly addicting drugs (Colantuoni et al., 2001, 2002). It also increased the levels of dopamine type 3 receptors in the brain—again, a trend resembling that of rats that receive morphine (Spangler et al., 2004). If they were then deprived of this sweet liquid, they showed with- drawal symptoms, including head shaking, teeth chatter- ing, and tremors. An injection of morphine relieved these symptoms. In short, the rats showed clear indications of an addiction to big doses of sugar (Avena, Rada, & Hoebel, 2008). Similarly, we can regard bulimic cycles of dieting and binge eating as an addiction.

Anorexia Nervosa Anorexia nervosa is characterized by a refusal to eat enough to maintain a healthy body weight. In some cases it becomes life threatening. Anorexia occurs in about one percent of women and one-third of a percent of men, with onset in the teenage years or early 20s and generally for a long persistence (Hudson, Hiripi, Pope, & Kessler, 2007). People with anorexia do not regard food as tasting bad. Rather, they express an exaggerated fear of growing fat. When they eat, they strongly prefer low-fat, low-calorie foods (Foerde, Steinglass, Shohamy, & Walsh, 2015). Con- trary to what we might expect of people verging on star- vation, those with anorexia generally engage in extensive physical activity.

Studies of the brain in people with anorexia reveal ab- normalities of dopamine release and other variables, but these abnormalities are probably the result of prolonged weight loss rather than the cause (Sodersten, Bergh, Leon, & Zandian, 2016). The psychological abnormalities may be results rather than causes, also. For decades, psychologists and psychiatrists have considered anorexia as a reaction to depression. However, although many people with anorexia do show signs of depression, little or no evidence indicates that they suffered depression prior to having anorexia (Bühren et al., 2014; Zerwas et al., 2013). They generally

STOP & CHECK 25. What evidence from rats suggests that bulimia resembles an

addiction? 26. If rats are limited to eating for one hour a day, what determines

whether or not they will lose weight?

ANSWERS

25. Rats that alternate between food deprivation and a very sweet diet gradually eat more and more, and they react to deprivation of the sweet diet with head shaking and teeth chattering, like the symptoms of morphine withdrawal. 26. If the room is cool and the rats have access to a running wheel, they will exercise enough to keep warm, which is also enough to force them to lose weight.

08202_ch09_ptg01.indd 316 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 3179.3 Hunger 317

The brain areas that control eating monitor taste, blood glucose, stomach distension, duodenal contents, body weight, fat cells, hormones, social influences, and more. Because the system is so complex, it can produce errors in many ways. However, the complexity of the system also provides a kind of security: If one

part of the system makes a mistake, another part can coun- teract it. We notice people who choose a poor diet or eat the wrong amount, but perhaps we should be even more impressed by how many people eat appropriately. The regulation of eating succeeds not in spite of its complexity but because of it.

The Multiple Controls of Hunger Module 9.3 In Closing

1. The ability to digest a food is one major determinant of preference for that food. For example, people who cannot digest lactose generally do not like to eat dairy products. 304

2. Widespread beliefs that sugar causes hyperactivity and that turkey causes sleepiness are unfounded. However, research does support the idea that eating fish is good for brain functioning. 304

3. People and animals eat partly for the sake of taste. How- ever, a sham-feeding animal, which tastes its foods but does not absorb them, eats far more than normal. Taste is not sufficient to satisfy hunger. 305

4. In addition to taste, other factors controlling hunger include distension of the stomach and intestines, secre- tion of CCK by the duodenum, and the availability of glucose and other nutrients to the cells. 306

5. Appetite depends partly on the availability of glucose and other nutrients to the cells. The hormone insulin increases the entry of glucose to the cells, including cells that store nutrients for future use. Glucagon mobilizes stored fuel and converts it to glucose in the blood. Thus, the combined influence of insulin and glucagon deter- mines how much glucose is available at any time. 306

6. Fat cells produce a peptide called leptin, which provides the brain with a signal about weight loss or gain and therefore corrects day-to-day errors in the amount of feed- ing. Low levels of leptin increase hunger more effectively than high levels decrease it. 308

7. The arcuate nucleus of the hypothalamus receives signals of both hunger and satiety. Good-tasting foods and the trans- mitter ghrelin stimulate neurons that promote hunger. Glucose, insulin, leptin, and CCK stimulate neurons that promote satiety. 309

8. Axons from the two kinds of neurons in the arcu- ate nucleus send competing messages to the

paraventricular nucleus, releasing neuropeptides that are specific to the feeding system. Cells in the para- ventricular nucleus inhibit the lateral nucleus of the hypothalamus. Hunger signals increase feeding by decreasing the inhibition from the paraventricular nucleus. 310

9. The lateral nucleus of the hypothalamus facilitates feed- ing by axons that enhance taste responses elsewhere in the brain and increase the release of insulin and diges- tive juices. 311

10. The ventromedial nucleus of the hypothalamus and the axons passing by it influence eating by regulat- ing stomach emptying time and insulin secretion. Animals with damage in this area eat more frequently than normal because they store much of each meal as fat and then fail to mobilize their stored fats for cur- rent use. 312

11. Obesity is partly under genetic control. Syndromal obesity occurs if a gene leads to both obesity and other medical problems. Monogenic obesity results from a single gene that does not impair other body functions. Common obesity is influenced by many genes, as well as environmental factors. 314

12. Dieting is seldom an effective means of long-term weight loss. Reducing consumption of soft drinks is highly recommended. Stomach bypass surgery is an option for relatively severe cases of obesity. 315

13. Bulimia nervosa is characterized by alternation between undereating and overeating. It has been compared to addictive behaviors. 315

14. Anorexia nervosa is characterized by refusal to eat enough to maintain a healthy weight. Antidepressant treatments are seldom effective. The increased physical activity associated with anorexia may be motivated by temperature regulation. 316

Summary

08202_ch09_ptg01.indd 317 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

agouti-related peptide (AgRP) 310 anorexia nervosa 316 arcuate nucleus 309 bulimia nervosa 315 cholecystokinin (CCK) 306 duodenum 306

ghrelin 310 glucagon 307 insulin 307 lactase 304 lactose 304 lateral hypothalamus 311

leptin 308 melanocortin 310 neuropeptide Y (NPY) 310 sham-feeding 306 vagus nerve 306 ventromedial hypothalamus (VMH) 312

For most people, insulin levels tend to be higher during the day than at night. Use this fact to explain why people grow hungry a few hours after a daytime meal but not so quickly at night.

Thought Question

1. If someone lacks the gene for digesting lactose, which of these outcomes is likely? A. Bulimia nervosa B. Increased craving for sweet tastes

C. Delay in the onset of puberty D. Discomfort after drinking milk

2. Which of the following is true? A. High intake of sugar leads to hyperactive behavior. B. Turkey contains large amounts of chemicals that lead

to sleepiness.

C. Artificial sweeteners help to satisfy a craving for sweet tastes.

D. Fish oils are beneficial for brain functioning.

3. Which part of the body secretes CCK? A. The duodenum B. The fat cells

C. The stomach D. The liver

4. When food distends the duodenum, the duodenum releases the hormone CCK. By what peripheral mechanism (outside the brain) does it increase satiety? A. CCK increases stomach contractions. B. CCK tightens the sphincter muscle between the stom-

ach and the duodenum.

C. CCK increases the ability of nutrients to enter cells. D. Cells in the hypothalamus release CCK as a

neurotransmitter.

5. Which of these does insulin do? A. It helps the intestines digest glucose. B. It helps glucose enter cells.

C. It converts glucose into glutamate. D. It converts stored fats into glucose.

6. Which part of the body secretes leptin? A. The duodenum B. The fat cells

C. The stomach D. The liver

7. Which part of the brain is generally considered the master area for control of appetite? A. The hippocampus B. The prefrontal cortex

C. The caudate nucleus D. The arcuate nucleus

Module 9.3 End of Module Quiz

318 CHAPTER 9 Internal Regulation

08202_ch09_ptg01.indd 318 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

9.3 Hunger 3199.3 Hunger 319

8. Which part of the body secretes ghrelin? A. The duodenum B. The fat cells

C. The stomach D. The liver

9. How do taste and ghrelin promote eating and arousal? A. They increase excitation from the paraventricular

nucleus to the arcuate nucleus, an area that excites the lateral hypothalamus.

B. They increase inhibition from the paraventricular nucleus to the arcuate nucleus, an area that inhibits the lateral hypothalamus.

C. They increase excitation from the arcuate nucleus to the paraventricular nucleus, an area that excites the lateral hypothalamus.

D. They increase inhibition from the arcuate nucleus to the paraventricular nucleus, an area that inhibits the lateral hypothalamus.

10. If researchers could find a safe drug that stimulates melanocortin receptors, what would be the probable benefit? A. Improving memory B. Helping people go to sleep

C. Combatting anorexia nervosa D. Helping people lose weight

11. Cell bodies in the lateral hypothalamus are most important for which of the following? A. Temperature regulation B. Sleep

C. Eating D. Satiety

12. How has the prevalence of obesity changed since the availability of high-fructose corn syrup and artificially sweetened diet beverages? A. Each of them helped lower the prevalence of obesity. B. High-fructose corn syrup helped lower obesity rates,

but diet drinks did not.

C. Diet drinks helped lower obesity rates, but high- fructose corn syrup did not.

D. The prevalence of obesity has increased after the availability of both of these.

13. Bulimia nervosa has been compared to which of the following? A. Borderline personality disorder B. Paranoid schizophrenia

C. Drug addiction D. Fear of heights

14. Temperature regulation is a likely explanation for which aspect of anorexia? A. Higher prevalence in women than men B. Increased exercise

C. Fear of becoming fat D. Age of onset

Answers: 1D, 2D, 3A, 4B, 5B, 6B, 7D, 8C, 9D, 10D, 11C, 12D, 13C, 14B.

Allen, J. S. (2012). The omnivorous mind: Our evolving rela- tionship with food. Cambridge, MA: Harvard University Press. A discussion of all the ways eating affects our lives.

Gisolfi, C. V., & Mora, F. (2000). The hot brain: Survival, temperature, and the human body. Cambridge, MA: MIT Press. Discusses research on temperature regulation.

Suggestions for Further Reading

08202_ch09_ptg01.indd 319 9/14/17 10:21 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch10_ptg01.indd 320 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

321

What good is sex? Well, yes, of course: We enjoy it. Presumably we evolved to enjoy it because sexual activity sometimes leads to repro- duction, which passes on genes. You evolved from a long line of ancestors who

engaged in sexual activity at least once.

But why did we evolve to reproduce sexually instead of individually? In

some species of reptiles, a female sometimes reproduces asexually—that is,

using only her own genes and none from a male (Booth, Johnson, Moore, Schal,

& Vargo, 2011). Asexual reproduction would produce offspring exactly like

yourself, instead of only half like yourself. What advantage does sex provide?

You might suggest the advantage of having a partner while you rear chil-

dren. In humans, that kind of cooperation is usually helpful. However, many

species reproduce sexually even though the male doesn’t help at all with the

young, and in some fish species, neither sex cares for the young—they just

release their sperm and eggs in the same place and then depart.

Biologists’ explanation is that sexual reproduction increases variation

and thereby enables quick evolutionary adaptations to changes in the envi-

ronment, especially new viruses and parasites (Morran, Schmidt, Gelarden,

Parrish, & Lively, 2011). Certain invertebrates reproduce sexually when they

live in a complex and changing environment, but reproduce without sex when

they live in a constant environment (Becks & Agrawal, 2010).

Sex also avoids spreading disadvantageous genes. Suppose you have a

new helpful mutation and a harmful mutation. If you reproduced asexually,

all your offspring would have both the good and the bad mutation. But with

sexual reproduction, some will get the good without the bad (McDonald, Rice,

& Desai, 2016). Also, if you have a disadvantageous mutation in one gene and

your mate has a disadvantageous mutation in a different gene, your children

might have a normal copy of both genes (Lumley et al., 2015).

In this chapter, we consider many questions about sexual reproduction

that we often ignore or take for granted. We also consider some of the ways in

which being biologically male or female influences our behavior.

Module 10.1

Sex and Hormones Organizing Effects of Sex Hormones Activating Effects of Sex Hormones Parental Behavior In Closing: Reproductive Behaviors and

Motivations

Module 10.2

Variations in Sexual Behavior Evolutionary Interpretations of Mating

Behavior Gender Identity and Gender-Differentiated

Behaviors Sexual Orientation In Closing: We Are Not All the Same

Chapter 10Reproductive Behaviors

Chapter Outline

After studying this chapter, you should be able to:

1. Describe the role of the SRY gene in mam- malian sexual development.

2. Distinguish between organizing and activating effects of hormones.

3. Explain the role of testosterone in the development of genital anatomy.

4. Explain why brain anatomy differs on average between males and females, and why the degree of masculinization or feminization may vary among brain areas for a given individual.

5. List some examples of activating effects on the behavior of males and females.

6. Describe the roles of hormones and experi- ences in parental behavior.

7. Discuss and evaluate possible evolutionary explanations of men’s and women’s sexual behaviors.

8. Explain the relevance of intersexes for understanding the role of hormones in the development of sex-typed behaviors.

9. Discuss possible biological influences on the development of sexual orientation.

Learning Objectives

Opposite:

Humans may be the only species that plans parenthood, but all species have a strong biological drive that leads to parenthood. (Kevin Schafer/Getty Images)

08202_ch10_ptg01.indd 321 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

322

Module 10.1

Sex and Hormones

Being male or female influences many aspects of your life. For humans and other mammals, it all begins with your genes. Females have two X chromosomes, whereas males have an X and a Y chromosome. (The mechanism of sex determi- nation is different for birds, reptiles, and fish.) Biologists used to believe that the chromosomes determine sexual differentia- tion entirely through hormones. Let’s examine that story, and then see how it is incomplete.

Male and female mammals start with the same anatomy during an early stage of prenatal development. Both have a set of Müllerian ducts (precursors to female internal structures) and a set of Wolffian ducts (precursors to male internal structures), as well as undifferentiated gonads. If you examine an embryo at an early stage of development, you cannot tell whether it is male or female. A little later, a gene on the male’s Y chromosome, the SRY gene (sex-determining region on the Y chromosome), causes those undifferentiated gonads to develop into testes, the sperm-producing organs. The testes produce androgens (hormones that are more abundant in males) that increase the growth of the testes, causing them to produce more androgens

and so forth. That positive feedback cannot go on forever, but it continues during early development. Androgens also cause the Wolffian ducts to develop into seminal vesicles (saclike struc- tures that store semen) and the vas deferens (a duct from the tes- tis into the penis). The testes also produce Müllerian-inhibiting hormone (MIH) that causes the Müllerian ducts to degenerate. The final result is the development of a penis and scrotum. Because females do not have the SRY gene, their gonads develop into ovaries instead of testes, and their Wolffian ducts degener- ate. Because their ovaries do not produce MIH, females’ Mül- lerian ducts develop and mature into oviducts, uterus, and the upper vagina. Figure 10.1 shows how the primitive unisex struc- tures develop into male or female external genitals.

From then on, the males’ testes produce more androgens than estrogens (hormones that are more abundant in females), whereas the females’ ovaries produce more estrogens than andro- gens. The adrenal glands also produce both androgens and estro- gens. These two types of hormones have similar effects in some ways and opposing effects in others. They are steroid hormones, containing four carbon rings, as in Figure 10.2.

Figure 10.1 Differentiation of human genitals We begin life with undifferentiated structures, as shown in the center. The gonad of the fetus, shown in blue, develops into either the ovaries, as shown on the left, or the testes, as shown on the right. The Müllerian ducts of the fetus develop into a female’s uterus, oviducts, and the upper part of the vagina. The Wolffian ducts of the fetus develop into a male’s seminal vesicles (which store semen) and vas deferens, a duct from the testis into the penis. The Müllerian ducts degenerate in males, and the Wolffian ducts degenerate in females. (Source: Based on Netter, 1983)

Gonad

Wolffian duct

Urethra

Seminal vesicle

Fallopian tube

Prostate

Vas deferens

Testis

Ovary

Epididymis Urethra

Vagina

Uterus Müllerian duct

Undifferentiated condition in fetus

MaleFemale

08202_ch10_ptg01.indd 322 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 323

Steroids exert their effects in three ways (Nadal, Díaz, & Valverde, 2001). First, they bind to membrane receptors, like neurotransmitters, exerting rapid effects. Second, they enter cells and activate certain kinds of proteins in the cytoplasm. Third, they bind to receptors that bind to chromosomes, where they activate or inactivate certain genes (see Figure 10.3).

Androgens and estrogens are categories of chemicals; nei- ther androgen nor estrogen is a specific chemical itself. The most widely known androgen is testosterone. The most prominent type of estrogen is estradiol. Progesterone, another predomi- nantly female hormone, prepares the uterus for the implantation of a fertilized ovum and promotes the maintenance of pregnancy.

For many years, biologists assumed that hormones account for all the biological differences between males and females. Later research demonstrated that the X and Y chromosomes control some differences independently of hormones (Arnold, 2009). At least three genes on the Y chro- mosome (found only in men) are active in specific brain areas, and at least one gene on the X chromosome is active only in the female brain (Arnold, 2004; Carruth, Reisert, & Arnold, 2002; Vawter et al., 2004). In both humans and nonhumans,

the Y chromosome has many sites that alter the expression of genes on other chromosomes (Lemos, Araripe, & Hartl, 2008). In short, genes on the X and Y chromosomes produce effects beyond those that we can trace to androgens and estrogens.

O

O

Progesterone

C === O

CH3HO

Estradiol (an estrogen)

OH

Testosterone (an androgen)

OHO

Cortisol

Backbone of all steroid molecules

C === O

CH2OH

OHHO

Figure 10.2 Steroid hormones Note the chemical similarity between testosterone and estradiol.

Hormone activates kinase protein in cytoplasm.

Hormone binds to membrane receptor.

(Blood capillary)

(Membrane)

(Cytoplasm)

(Nucleus)

(Receptor molecule)

Hormone activates or inactivates certain genes.

Figure 10.3 Routes of action for steroid hormones Steroid hormones such as estrogens and androgens bind to membrane receptors, activate proteins in the cytoplasm, and activate or inactivate certain genes. (Source: Revised from Starr & Taggart, 1989)

STOP & CHECK 1. What does the SRY gene do? 2. How do sex hormones affect neurons?

ANSWERS

1. The SRY gene (sex-determining region on the Y chromo- some) causes the undifferentiated gonad of a mammal to develop into a testis, which then produces testosterone and MIH to direct development toward the male pattern. 2. Sex hormones, which are steroids, bind to receptors on the membrane, activate certain proteins in the cell’s cytoplasm, and activate or inactivate particular genes.

08202_ch10_ptg01.indd 323 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

324 CHAPTER 10 Reproductive Behaviors

distinction between organizing and activating effects is not absolute, as hormones often produce a combination of tem- porary and longer-lasting effects (Arnold & Breedlove, 1985; C. L. Williams, 1986). Still, the distinction is helpful.

Let’s focus on the organizing effects during the early sen- sitive period, when hormones determine whether an embryo develops a male or female anatomy. You might imagine that testosterone produces male anatomy and estradiol produces female anatomy. No. In mammals, differentiation of the ex- ternal genitals depends mainly on testosterone. A high level of testosterone causes the external genitals to develop the male pattern, and a low level leads to the female pattern. Estradiol and certain genes highly activated in females are essential for proper development of a female’s uterus and other internal or- gans, but they have little effect on the external genitals.

The human sensitive period for genital formation occurs during the first trimester of pregnancy (Money & Ehrhardt, 1972). At first, the external genitals of males and females look the same, as shown in Figure 10.4. As a male’s developing

Organizing Effects of Sex Hormones If we injected estrogens into adult males and androgens into adult females, could we make males act like females or females act like males? The results vary among species, but in general short-term exposure produces no apparent effect and pro- longed exposure produces only limited changes in behavior (Henley, Nunez, & Clemens, 2011). Hormones injected early in life have much stronger effects.

Biologists distinguish between the organizing and activat- ing effects of sex hormones. Organizing effects produce long- lasting structural effects. During a sensitive period in early development, for example, the first trimester of pregnancy for humans, sex hormones determine whether the body develops female or male genitals, and they alter certain aspects of brain development. Sex hormones produce additional organizing ef- fects at puberty (Schulz, Molenda-Figueira, & Sisk, 2009). The surge of hormones at puberty produces breast development in women, facial hair and penis growth in men, changes in voice, and male–female differences in the anatomy of certain parts of the hypothalamus (Ahmed et al., 2008). Some of the differences in brain anatomy between males and females increase during this time (Chung, de Vries, & Swaab, 2002). The changes developing at pu- berty persist throughout life, even after the concentration of sex hor- mones declines.

Activating effects are more temporary, continuing only while a hormone is pres- ent or shortly beyond. For ex- ample, current hormone levels influence the degree of sex drive. The burst of hormones during pregnancy produces temporary effects on emotional arousal, ag- gressive behavior, learning, and cognition (Agrati, Fernández- Guasti, Ferreño, & Ferreira, 2011; Workman, Barha, & Galea, 2012). Some women experience mood changes over the men- strual cycle (Kiesner, Mendle, Eisenlohr-Moul, & Pastore, 2016). We shall encounter other examples of activating effects later in this chapter. The orga- nizing effects set the stage for activating effects. For example, organizing effects set up the female hypothalamus such that later hormones can acti- vate the menstrual cycle. The

Undifferentiated before sixth week

Seventh to eighth week

Genital tubercle Urethral fold Urethral groove Genital fold Anal pit

Glans Area where foreskin (prepuce) forms

Urethral fold Urogenital groove

Genital fold (becomes shaft of penis or labia minora)

Labioscrotal swelling (becomes scrotum or labia majora)

Anus

Male Female

Fully developed by twelfth week

Prepuce Urethral opening (meatus)

Urethral opening (meatus) Vaginal opening

(Penis) Glans (Clitoris)

(Penis) Shaft (Clitoris)

Labia minora

Scrotum Labia majora

Anus

Male Female

a

b

c

Figure 10.4 Development of the Human Genitals The initial appearance is the same for all. Depending on the level of testosterone and its metabolite, dihydrotes- tosterone, the embryo develops either the male pattern or the female pattern.

08202_ch10_ptg01.indd 324 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 325

internal anatomy. Even if she is given estradiol injections as an adult, she shows little sexual response toward either male or female partners (Bakker, Honda, Harada, & Balthazart, 2002; Brock, Baum, & Bakker, 2011). So estradiol is essential for fe- male development, including certain aspects of brain differen- tiation, even if it is not important for external anatomy.

testes secrete testosterone, certain enzymes convert it to di- hydrotestosterone, which is far more effective at promoting growth of the penis. If levels of dihydrotestosterone are high enough, the tiny genital tubercle grows and develops into a penis. If the levels are low, the tubercle develops into a clitoris. Similarly, depending on levels of testosterone and dihydrotes- tosterone, the embryo develops either a scrotum, characteris- tic of males, or labia, characteristic of females.

Much of the research exploring sexual development has been in rodents. In rats, testosterone begins masculinizing the external genitals during the last several days of pregnancy and first few days after birth and then continues masculin- izing them at a declining rate for the next month (Bloch & Mills, 1995; Bloch, Mills, & Gale, 1995; Davis, Shryne, & Gorski, 1995; Rhees, Shryne, & Gorski, 1990). A female rat that is injected with testosterone during this period is partly masculinized, just as if her own body had produced the tes- tosterone (Ward & Ward, 1985). Her clitoris grows larger than normal, and her behavior is partly masculinized. She approaches sexually receptive females (Woodson & Balleine, 2002), mounts them, and makes copulatory thrusting move- ments rather than arching her back and allowing males to mount her. In short, early testosterone promotes the male pattern and inhibits the female pattern (Gorski, 1985; Wilson, George, & Griffin, 1981).

Injecting a genetic male with estrogens produces little ef- fect on his external anatomy. However, if he lacks androgens or androgen receptors, he develops the female-typical pattern of anatomy and behavior. That outcome could result from castration (removal of the testes), a genetic deficiency of an- drogen receptors, or prenatal exposure to drugs that interfere with androgen response, such as alcohol, marijuana, haloperi- dol (an antipsychotic drug), phthalates (chemicals common in many manufactured products), and cocaine (Ahmed, Shryne, Gorski, Branch, & Taylor, 1991; Dalterio & Bartke, 1979; Hull, Nishita, Bitran, & Dalterio, 1984; Raum, McGivern, Peterson, Shryne, & Gorski, 1990; Swan et al., 2010). Obviously, the amount of interference depends on the type of drug and the amount of exposure. To a slight extent, even aspirin interferes with the male pattern of development (Amateau & McCarthy, 2004). Although estradiol does not significantly alter a male’s external anatomy, estradiol and several related compounds do produce abnormalities of the prostate gland—the gland that produces a fluid that accompanies and protects sperm cells when ejaculated during intercourse. Some of those estradiol- like compounds are now prevalent in the linings of plastic bot- tles and cans, so almost everyone is exposed to them (Timms, Howdeshell, Barton, Richter, & vom Saal, 2005). In short, male development is vulnerable to many sources of interference.

Researchers used to say that nature’s default setting is to make every mammal a female unless told to do otherwise. Add early testosterone and the individual becomes a male; without testosterone, it develops as a female. That generalization is an overstatement. A genetic female that lacks estradiol during early life develops approximately normal female external anat- omy but does not develop normal sexual behavior or normal

STOP & CHECK 3. What would be the external genital appearance of a mammal

exposed to high levels of both androgens and estrogens during early development? What if it were exposed to low levels of both?

4. From the standpoint of protecting a male fetus’s sexual development, what are some drugs that a pregnant woman should avoid?

ANSWERS

3. A mammal exposed to high levels of both male and female hormones will appear male. One exposed to low levels of both will appear female. External genital devel- opment depends mostly on the presence or absence of androgens, and is nearly independent of estradiol levels. 4. Pregnant women should avoid alcohol, marijuana, haloperidol, phthalates, and cocaine because these drugs interfere with male sexual development. Even aspi- rin and the chemicals lining bottles and cans produce mild abnormalities. Obviously, the results depend on both quantities and timing of exposure to these chemicals.

Sex Differences in the Brain On average, male and female brains differ in many ways. Sev- eral brain areas form a larger percentage of the male than fe- male brain, whereas other areas constitute a larger portion of the female brain, as Figure 10.5 shows (Cahill, 2006). Most of the brain areas highlighted in that figure have no direct con- nection to reproductive behavior. The brain differences are not simply a result of the fact that men are larger. When re- searchers compare men and women who have the same over- all brain volume, many of the patterns shown in Figure 10.5 still emerge (Luders, Gaser, Narr, & Toga, 2009). In addition to the cortical areas shown in Figure 10.5, males and females differ on average in the hypothalamus, pituitary gland, parts of the spinal cord, and elsewhere. For example, parts of the female hypothalamus generate a cyclic pattern of hormone release, as in the human menstrual cycle, whereas the male hypothalamus releases hormones more steadily.

What causes all these differences? Research, much of it by Margaret McCarthy and her colleagues, has found that the mechanisms differ from one brain area to another. Within the hypothalamus, the differences trace back to sex hormones, but the hormones act in different ways for different areas. Most of the research has used rats, where the sex hormones act in a surprising way. During early development (shortly before birth and the first few days afterward), the blood contains high levels of alpha-fetoprotein that binds to circulating estradiol

08202_ch10_ptg01.indd 325 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

326 CHAPTER 10 Reproductive Behaviors

mechanisms. In humans and other primates, testosterone acts on the hypothalamus directly instead of by conversion to estradiol. However, the final mechanism in terms of prosta- glandins, PI3 kinase, and so forth appear to be the same as in rodents.

and prevents it from entering cells (Gorski, 1980; MacLusky & Naftolin, 1981). Therefore the female brain is not exposed to estradiol at this time. The male’s testosterone is free to enter the hypothalamus, where an enzyme converts much of it to estradiol, and the estradiol exerts masculinizing effects at this time. That is, for early development in rodents, testosterone is a way of getting estradiol into the hypothalamus. (You’re right, that is confusing.)

At any rate, the estradiol acts by different routes in dif- ferent parts of the hypothalamus. In the medial preoptic area, both testosterone itself and estradiol increase the production of a chemical called prostaglandin E2, which leads to an in- crease in microglia, dendritic spines, and synapses (Lenz, Nu- gent, Haliyur, & McCarthy, 2013; Nugent et al., 2015). These expansions make later male sexual behavior possible. In part of the ventromedial hypothalamus, estradiol activates an en- zyme called PI3 kinase that increases the release of glutamate from presynaptic neurons, and therefore causes postsynaptic neurons to increase their dendritic branching (Schwarz, Li- ang, Thompson, & McCarthy, 2008). The ventromedial hypo- thalamus contributes to aggressive and sexual behavior as well as feeding. In the arcuate nucleus and the anteroventral peri- ventricular nucleus, estradiol increases GABA production, which acts on astrocytes to decrease dendritic spines. The re- sult for males is shrinkage of these areas that are important for female sexual behavior. These areas remain larger in females because of low levels of estradiol early in life (McCarthy, 2010; McCarthy & Arnold, 2011). Table 10.1 summarizes these

Table 10.1 Sexual differentiation of the hypothalamus

Hypothalamic Area Male–Female Difference Caused by Medial preoptic area More dendritic spines and synapses in

males Testosterone and estradiol increase production of prostaglandin E2.

Ventromedial nucleus More widely branched dendrites in males Estradiol activates PI3 kinase, which increases glutamate release.

Arcuate nucleus and anteroventral periventricular nucleus

More dendritic spines and synapses in females

Estradiol increases GABA production, which acts on astrocytes to decrease dendritic branching.

Anterior Posterior

Figure 10.5 Men’s and women’s brains Areas in pink are, on the average, larger in women relative to the total mass of the brain. Areas in blue are, on the average, larger in men relative to the total mass. (Source: From Cahill, L. (2006). Why sex matters for neuroscience. Nature Reviews Neuroscience, 7, 477–484. Reprinted by permis- sion of Macmillan Publishing Ltd.)

Margaret McCarthy In the past two decades, the range of neurobiological, psychological, and psychiatric endpoints found to dif- fer between males and females has expanded beyond reproduction into every aspect of the healthy and diseased brain, and thereby demands our atten- tion. (McCarthy, 2016)

Now, why is all this important? Because the mechanisms differ from one hypothalamic area to another, it is possible for one area to become more masculinized or more feminized than another. The same is certainly true for the other brain areas, as shown in Figure 10.5. For most brain areas, the male– female differences are less well understood than they are for the hypothalamus, but researchers have established that the mechanisms include not only testosterone and estradiol, but also close to a hundred genes that are more active in one sex or the other (Reinius et al., 2008). Because genes vary, and so do factors that cause epigenetic changes, the “average” brain

08202_ch10_ptg01.indd 326 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 327

girl-typical activities at 3 usually show the greatest preference for girl-typical activities at age 13 (Golombok, Rust, Zervoulis, Golding, & Hines, 2012).

Much of this pattern results from socialization, as most parents give their sons and daughters different sets of toys. However, socialization need not be the whole story. Indeed, it may be that parents give those toys because previous gen- erations found that boys and girls often differ in their inter- ests from the start. In one study, infants 3 to 8 months old (too young to walk, crawl, or do much with a toy) sat in front of pairs of toys, where researchers could monitor eye move- ments. The girls looked at dolls more than they looked at toy trucks. The boys looked at both about equally (Alexander, Wilcox, & Woods, 2009). (Note that the children had not seen the trucks move, so at this point the trucks were simply un- known objects.) This study suggests a predisposition for boys and girls to prefer different types of toys, although we should consider an alternative explanation: Girls mature faster than boys, and perhaps it was harder for boys at this age to show a preference, whatever that preference may have been.

In two studies male monkeys played with balls and toy cars more than female monkeys did, whereas the females played more with dolls (Alexander & Hines, 2002; Hassett, Siebert, & Wallen, 2008). Figure 10.6 summarizes the results from one of those studies. Monkeys’ preferences were not as strong as most children’s, but it is noteworthy that the sexes differed at all in their first encounters with these toys. Other studies found that prenatal injections of testosterone to female monkey fetuses led to increased masculine-type play after they were born. In those cases the focus was on spontaneous, rough-and-tumble play rather than playing with toys, but the idea is similar (Wallen, 2005).

Two studies correlated chemicals in the mother’s blood during pregnancy with their children’s choices of toys years later. Researchers took blood samples from pregnant women, measuring testosterone, some of which would enter the fetus. When the daughters reached age 3½, researchers observed their toy play. The girls who had been exposed to higher tes- tosterone levels in prenatal life showed slightly elevated pref- erences for boys’ toys (Hines et al., 2002). These girls were anatomically normal, and we have no reason to believe that the parents treated girls differently based on how much testos- terone had been present in prenatal life. Another study mea- sured testosterone levels in infants over the first 6 months and

structure does not apply to any individual. Very few people have a brain that is male-typical or female-typical in all re- gards. Instead, almost anyone’s brain is a mosaic of male- typical, female-typical, and approximately neutral areas (Joel et al., 2015). How all this relates to behavior is mostly un- certain. You may hear someone remark that some difference between male and female brains “explains” why men and women behave differently in some regard. In most cases, the relationship between the brain differences and the behavioral differences is mere speculation (de Vries & Södersten, 2009). Nevertheless, it is certainly true that just as most brains are a mosaic of male-typical and female-typical areas, most people have a mixture of male-typical, female-typical, and neutral in- terests, attitudes, and activities.

STOP & CHECK 5. How would the external genitals appear on a genetic female

rat that lacked alpha-fetoprotein? 6. Why is any individual’s brain more masculinized or feminized

in some areas than others?

ANSWERS

5. A female that lacked alpha-fetoprotein would be mas- culinized by her own estradiol, as researchers have in fact demonstrated (Bakker et al., 2006). 6. The mechanisms for sexual differentiation vary from one brain area to another. People vary in the genes, as well as the epigenetic influences, that modify brain development in different brain areas.

Sex Differences in Play What aspects of behavior might prenatal hormones influence? In the second module of this chapter, we shall consider influ- ences on sexual behavior and sexual orientation, but at this point let’s consider possible influences on childhood play.

Typically, many boys play mostly with toy cars and trains, balls, guns, and roughhouse activities. Girls are more likely than boys to spend time with dolls and calmer, cooperative play. Preferences tend to be consistent over time. Children who show the greatest preference for boy-typical activities at age 3 usually show the greatest amount of boy-typical ac- tivities at age 13, and those with the greatest preference for

Boys’ toys

Girls’ toys

Neutral toys

Male monkeys Female monkeys

Boys’ toys

Girls’ toys

Neutral toys

Figure 10.6 Toy choices by male and female monkeys Male monkeys spent more time than female monkeys did with “boys’ toys.” (Source: Based on data from “Sex differences in response to children’s toys in nonhuman primates (Cercopithecus aethiops sabaeus)," by G. M. Alexander & M. Hines, 2002, Evolution and Human Behavior, 23, 467–479.)

08202_ch10_ptg01.indd 327 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

328 CHAPTER 10 Reproductive Behaviors

and it stimulates the mammary gland to release milk. Sexual pleasure also releases oxytocin, especially at orgasm (Murphy, Checkley, Seckl, & Lightman, 1990). People typically experience a state of relaxation shortly after orgasm as a result of oxytocin release. Oxytocin is apparently responsible for the calmness and lack of anxiety after orgasm (Waldherr & Neumann, 2007).

Males Testosterone, essential for male sexual arousal, acts partly by increasing touch sensitivity in the penis (Etgen, Chu, Fiber, Karkanias, & Morales, 1999). Sex hormones also bind to re- ceptors that increase responses in parts of the hypothalamus, including the ventromedial nucleus, the medial preoptic area (MPOA), and the anterior hypothalamus.

Testosterone primes the MPOA and several other brain areas to release dopamine. MPOA neurons release dopa- mine strongly during sexual arousal, and the more dopamine they release, the more likely the male is to copulate (Putnam, Du, Sato, & Hull, 2001). Castrated male rats produce normal amounts of dopamine in the MPOA, but they do not release it in the presence of a receptive female, and they do not attempt to copulate (Hull, Du, Lorrain, & Matuszewich, 1997).

In moderate concentrations, dopamine stimulates mostly type D1 and D5 receptors, which facilitate erection of the penis in the male (Hull et al., 1992) and sexually receptive postures in the female (Apostolakis et al., 1996). In higher concentra- tions, dopamine stimulates type D2 receptors, which lead to orgasm (Giuliani & Ferrari, 1996; Hull et al., 1992). Whereas dopamine stimulates sexual activity, the neurotransmitter se- rotonin inhibits it by blocking dopamine release (Hull et al., 1999). Many antidepressant drugs increase serotonin activity, and one of their side effects is decreased sexual arousal.

Levels of testosterone correlate positively with men’s sex- ual arousal and their drive to seek sexual partners. Research- ers found that, on average, married men and men living with a woman in a committed relationship have lower testosterone levels than single, unpaired men of the same age (M. McIntyre et al., 2006). Two interpretations are possible: One is that mar- riage decreases testosterone levels, because of decreased need to compete for a sexual partner. Consistent with this idea, one study found increased testosterone levels around the time of a divorce (Mazur & Michalek, 1998). The other interpretation is that men with lower testosterone levels are more likely than others to marry and remain faithfully married, and research clearly supports that idea as well (van Anders & Watson, 2006). Similar studies found that single women had higher testosterone levels than women with a long-term partner, ei- ther homosexual or heterosexual (van Anders & Goldey, 2010; van Anders & Watson, 2006). Also, both men and women with high testosterone levels are more likely than average to seek additional sex partners, even after they marry or establish a long-term relationship (M. McIntyre et al., 2006; van Anders, Hamilton, & Watson, 2007).

Decreases in testosterone levels generally decrease male sexual activity. For example, castration (removal of the

compared results to their toy choices at age 14 months. Girls with higher testosterone levels in early infancy spent more time than average playing with toy trains, compared to other girls. Boys with higher testosterone levels spent less time than other boys did playing with dolls (Lamminmäki et al., 2012).

In another study, researchers measured phthalate levels in pregnant women. Phthalates inhibit testosterone produc- tion. U.S. law bans phthalates from children’s toys, but preg- nant women are exposed to phthalates from other sources, including perfumes, hair spray, food packaging, and others. Researchers measured phthalate levels in pregnant women’s urine samples and compared results to the sons’ toy use at ages 3 to 6. On average, sons of women with high phthalate levels showed less interest in typical boys’ toys, and more interest in typical girls’ toys (Swan et al., 2010). In summary, these studies suggest that prenatal hormones, especially testosterone, alter the brain in ways that influence differences between boys and girls in their activities and interests.

Do these studies imply that prenatal hormones determine toy preferences, regardless of rearing? No. In fact, prenatal hormones and rearing interact in an interesting way. It is pos- sible for girls to develop a condition called congenital adrenal hyperplasia (discussed in the next module) as a result of very high testosterone levels before birth. Compared to other girls, they are less likely to imitate what a woman or young girl does, and less likely to be influenced by information that certain things are intended for girls (Hines et al., 2016). That is, the prenatal hormones weaken their tendency to be socialized the way most other girls are.

STOP & CHECK 7. What evidence most directly links children’s toy play to prena-

tal hormones? 8. What are the effects of phthalates on sexual development?

ANSWERS

7. Girls whose mothers had higher testosterone levels dur- ing pregnancy tend to play with boys’ toys more than the average for other girls. 8. Phthalates inhibit testosterone production. Boys whose mothers had higher phthalate exposure tend to play with boys’ toys less than the average for other boys.

Activating Effects of Sex Hormones At any time in life, not just during a sensitive period, current levels of testosterone or estradiol exert activating effects, tem- porarily modifying behavior. Behaviors can also influence hor- monal secretions. For example, when doves court each other, each stage of their behavior initiates hormonal changes that alter the birds’ readiness for the next sequence of behaviors (Erickson & Lehrman, 1964; Lehrman, 1964; Martinez-Vargas & Erickson, 1973).

In addition to the sex hormones, the pituitary hormone oxytocin is also important for reproductive behavior. Oxytocin stimulates contractions of the uterus during delivery of a baby,

08202_ch10_ptg01.indd 328 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 329

et al., 2001). Pregnant women often experience nausea be- cause of the heightened activity of that receptor. Figure 10.8 summarizes the interactions between the pituitary and the ovary. Increased sensitivity to nausea may be an evolved ad- aptation to minimize the risk of eating something harmful to the fetus.

Birth control pills prevent pregnancy by interfering with the usual feedback cycle between the ovaries and the pituitary. The most widely used birth control pill, the combination pill, containing estrogen and progesterone, prevents the surge of FSH and LH that would otherwise release an ovum. The estrogen–progesterone combination also thickens the mucus of the cervix, making it harder for a sperm to reach the egg, and prevents an ovum, if released, from implanting in the uterus. Thus, the pill prevents pregnancy in a combination of

Females A woman’s hypothalamus and pituitary interact with the ova- ries to produce the menstrual cycle, a periodic variation in hormones and fertility over the course of about 28 days (see Figure 10.7). After the end of a menstrual period, the ante- rior pituitary releases follicle-stimulating hormone (FSH), which promotes the growth of a follicle in the ovary. The follicle nurtures the ovum (egg cell) and produces several types of estrogen, including estradiol. Toward the middle of the menstrual cycle, the follicle builds up more and more re- ceptors to FSH, so even though the actual concentration of FSH in the blood is decreasing, its effects on the follicle in- crease. As a result, the follicle produces increasing amounts of estradiol. The increased release of estradiol causes an in- creased release of FSH as well as a sudden surge in the release of luteinizing hormone (LH) from the anterior pituitary (see the top graph in Figure 10.7). FSH and LH combine to cause the follicle to release an ovum.

The remnant of the follicle (now called the corpus lu- teum) releases the hormone progesterone, which prepares the uterus for the implantation of a fertilized ovum. Progesterone also inhibits the further release of LH. If the woman is preg- nant, estradiol and progesterone levels continue to increase. If she is not pregnant, both hormones decline (as shown in Figure 10.7), the lining of the uterus is cast off (menstruation), and the cycle begins again.

One consequence of high estradiol and progesterone lev- els during pregnancy is fluctuating activity at the serotonin 3 (5HT3) receptor, which is responsible for nausea (Rupprecht

testes) generally decreases a man’s sexual interest and activ- ity. Anti-androgen drugs can help sex offenders reduce their sexual impulsiveness (Winder et al., 2014). However, low tes- tosterone is not the usual basis for impotence, the inability to have an erection. The most common cause is impaired blood circulation, especially in older men. The drug silde- nafil (Viagra) increases male sexual ability by prolonging the effects of nitric oxide, which increases blood flow to the pe- nis. (As mentioned in Chapter 2, nitric oxide also increases blood flow in the brain.)

STOP & CHECK 9. By what mechanism does testosterone affect the hypotha-

lamic areas responsible for sexual behavior? 10. What are two explanations for why married men tend to

have lower testosterone levels than single men?

ANSWERS

9. Testosterone primes hypothalamic cells to be ready to release dopamine. 10. First, marriage decreases the need to seek sexual partners and therefore may lower the testosterone level. Second, men with lower testosterone levels are more likely to marry and remain married.

Days

Periovulatory period

Menstruation Follicular phase

Progesterone

Estradiol

FSHB lo

o d

le ve

ls o

f p

it ui

ta ry

h o

rm o

n es

(a rb

it ra

ry u

n it

s)

B lo

o d

le ve

ls o

f st

er o

id s

(a rb

it ra

ry u

n it

s)

Thickness of uterine lining

LH

1 5 10 15 20 25 28

Midluteal phase

Luteal phase

Figure 10.7 Blood levels of four hormones during the human menstrual cycle Note that estrogen and progesterone are both at high levels during the midluteal phase but drop sharply at menstruation.

08202_ch10_ptg01.indd 329 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

330 CHAPTER 10 Reproductive Behaviors

from day to day across one or two months found that sexual desire correlated strongly with changes in levels of estradiol, not testosterone (Roney & Simmons, 2013).

One reason why earlier researchers suspected that testos- terone was important was that a woman’s estradiol levels peak sharply during the periovulatory period, the days around the middle of the menstrual cycle, when fertility is highest, but her probability of sexual intercourse does not increase sharply at that time. Testosterone levels, which remain somewhat more stable across the month, might therefore be responsible for desire. However, a woman’s probability of sexual intercourse on a given day depends on her partner’s desires at least as much as her own. According to two studies, women not taking birth control pills initiate sexual activity more often during the peri- ovulatory period than at other times of the month (Adams, Gold, & Burt, 1978; Udry & Morris, 1968) (see Figure 10.9). Also, unmarried women flirt with an appealing man more dur- ing this period than at other times (Cantú et al., 2014; Durante & Li, 2009). On average, women during the periovulatory period become more likely than usual to wear red or pink, colors that most men consider sexy (Beall & Tracy, 2013; Eisenbruch, Simmons, & Roney, 2015). In the presence of an attractive man, they are more likely than usual to walk slowly, with a gait

ways. Note, however, that it does not protect against sexually transmitted diseases such as AIDS or syphilis. “Safe sex” must go beyond the prevention of pregnancy.

In female rats, a combination of estradiol and progester- one is the most effective combination for enhancing sexual behavior (Matuszewich, Lorrain, & Hull, 2000). Estradiol in- creases the sensitivity of the pudendal nerve, which transmits tactile stimulation from the vagina and cervix to the brain (Komisaruk, Adler, & Hutchison, 1972). Estradiol also appears to be essential to female sexual behavior in all the other mam- mals that have been tested.

Nevertheless, the idea arose that human female sexual desire might depend on testosterone. Much evidence now ar- gues against that idea. Most women report a decrease in sex- ual desire after menopause, which decreases estradiol levels, or after surgical removal of the ovaries, which also reduces estradiol levels (Graziottin, Koochaki, Rodenberg, & Denne- rstein, 2009). Administering enough estradiol to return it to normal levels increases sexual desire. Administering testos- terone can increase a woman’s sexual desire, but only if ad- ministered at levels far above what a woman would experience naturally (Cappelletti & Wallen, 2016). Furthermore, a study comparing women’s increases and decreases of sexual interest

Figure 10.8 Interactions between the pituitary and the ovary FSH from the pituitary stimulates a follicle of the ovary to develop and produce estradiol, releasing a burst of FSH and LH from the pituitary. Those hor- mones cause the follicle to release its ovum and become a corpus luteum. The corpus luteum releases progesterone while the ovary releases estradiol.

FS H

FS H

a nd

L H

FS H

Es tr

ad io

l

End of menstruation Follicular phase Ovulation

Corpus luteum

OvaryOvaryOvaryOvary

Ovum becomes fertilized or is discarded

FollicleFollicle Ovum

Es tr

ad io

l

Es tr

ad io

l

Pr og

es te

ro ne

08202_ch10_ptg01.indd 330 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 331

Another study used a method that is, shall we say, not common among laboratory researchers. The researchers studied erotic lap dancers, who earn tips by dancing between a man’s legs, rubbing up against his groin, while wearing, in most cases, just a bikini bottom. Lap dancers recorded the times of their menstrual periods and the amount of tip in- come they received each night. Lap dancers who were tak- ing contraceptive pills (which keep hormone levels nearly constant) earned about the same amount from one day to another. Those not taking contraceptive pills received the largest tips during the periovulatory period (Miller, Tybur, & Jordan, 2007). Presumably the women felt and acted sexier at this time.

Effects of Sex Hormones on Nonsexual Characteristics Men and women differ in many ways other than their sexual behavior. Nearly all those differences vary at least somewhat according to culture, and it is easy to exaggerate the extent of difference (as in “Women are from Venus, Men are from Mars”). Still, a few trends are moderately consistent.

One well-documented gender difference in behavior is that women tend to be better than men at recognizing facial expressions of emotion. Might sex hormones contribute to this difference? One way to approach the question experi- mentally is to administer extra testosterone to women. In one study, women’s task was to examine photos of faces and try to identify the expressed emotions among six choices: anger, dis- gust, fear, happiness, sadness, and surprise. The photos were morphed from 0 percent (neutral expression) to 100 percent expression of an emotion. Figure 10.10 shows the example for anger. After women received testosterone, most became tem- porarily less accurate at recognizing facial expressions of anger (van Honk & Schutter, 2007). The implication is that testoster- one interferes with attention to emotional expressions. Other studies found that testosterone decreased women’s ability to infer people’s mood from watching their eyes, whereas estra- diol increased men’s emotional responses to seeing a person in distress (Olsson, Kopsida, Sorjonen, & Savic, 2016; van Honk et al., 2011).

that men consider sexy (Fink, Hugill, & Lange, 2012; Guéguen, 2012). In short, sexual interest peaks at the periovulatory pe- riod and influences behavior in many ways, generally without the woman’s conscious recognition of the effect.

0.3

0.2

0.1

0

A ut

o se

xu al

a ct

iv it

ie s

(m ea

n n

um b

er p

er d

ay )

0.3

0.2

0.1

Fe m

al e-

in it

ia te

d h

et er

o se

xu al

a ct

iv it

ie s

(m ea

n n

um b

er p

er d

ay )

–15 –10 –5 0 Days before menstruation

Women taking birth control pills Women using intrusive methods Women using nonintrusive methods Estimated time of ovulation

Figure 10.9 Female-initiated sexual activities The top graph shows autosexual activities (masturbation and sexual fantasies); the bottom graph shows female-initiated activities with a male partner. “Intrusive” birth control methods are diaphragm, foam, and condom; “nonintrusive” methods are IUD and vasectomy. Women other than pill users initiate sex more often when their estrogen levels peak. (Source: Adams, Gold, & Burt, 1978)

0 50 100 Morph change (%)

Testosterone (51%)

Placebo (43%)

Figure 10.10 Stimuli to measure people’s ability to identify emotion For each of six emotions, researchers prepared views ranging from 0 percent to 100 percent expression of the emotion. In this case, the emotion is anger. Women identified the expression more quickly, on average, after a placebo injection than after a testosterone injection. (Source: From “Testosterone reduces conscious detection of signals serving social correction,” by J. van Honk & D. J. L. G. Schut- ter, Psychological Science, 18, 663–667. Used by permission of Blackwell Publishing.)

08202_ch10_ptg01.indd 331 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

332 CHAPTER 10 Reproductive Behaviors

behavior. The nucleus accumbens plays a central role in feed- ing. In short, most brain areas participate in a variety of be- havioral functions.

Another key hormone is vasopressin, synthesized by the hypothalamus and secreted by the posterior pituitary gland. Vasopressin is important for social behavior in many species, partly by facilitating olfactory recognition of other individuals (Tobin et al., 2010). Male prairie voles, which se- crete much vasopressin, establish long-term pair bonds with females and help rear their young. The males with the high- est vasopressin levels show the highest level of sexual fidelity to their mates (Okhovat, Berrio, Wallace, Ophir, & Phelps, 2015). Male meadow voles, which have low vasopressin levels, mate and then ignore the female and her young (see Figure 10.12). Imagine a male meadow vole in a long, narrow cage. At one end, he can sit next to a female with which he has just mated. (She is confined there.) At the other end, he can sit next to a different female. Will he choose his recent mate (showing loyalty) or the new female (seeking variety)? The answer: Neither. He sits right in the middle, by himself, as far away as possible from both females. However, researchers found a way to increase activity of the genes responsible for vasopressin in the meadow voles’ hypothalamus. Suddenly, the voles showed a strong attachment to a recent mate and, if placed into the same cage, they even helped her take care of her babies (Lim et al., 2004). Whether the female was sur- prised, we don’t know. In humans, researchers have reported that men with genes for less-active forms of the vasopressin receptor are less likely to marry, more likely to have marital conflicts or threat of divorce, and in general less likely to show altruistic behavior toward others (Walum et al., 2008; Wang et al., 2016). Women with the less-active form of the receptor were less attentive to their young children (Avinun, Ebstein, & Knafo, 2012).

Ordinarily, female rats ignore or avoid baby rats, mainly because of an aversion to their odor. When a female gives

Parental Behavior Hormonal changes during pregnancy prepare a female mam- mal to provide milk, and also prepare her to care for the young. Her behavior changes in many ways when she becomes a mother. In addition to nursing and caring for the young, she eats and drinks more than usual, and becomes less fearful and more aggressive, especially in defense of her young. When a mammalian mother delivers her babies, she increases her se- cretion of oxytocin and prolactin, which promote milk pro- duction and several aspects of maternal behavior (Rilling & Young, 2014). Prolactin also inhibits sensitivity to leptin, en- abling the mother to eat more than usual.

In addition to secreting hormones, the female changes her pattern of hormone receptors. Late in pregnancy, sensi- tivity to estradiol increases in the brain areas important for maternal behavior and attention to the young (Rosenblatt, Olufowobi, & Siegel, 1998), including the medial preoptic area, anterior hypothalamus, and nucleus accumbens (Brown, Ye, Bronson, Dikkes, & Greenberg, 1996; Pereira & Ferreira, 2016) (see Figure 10.11). We have already encountered the preoptic area/anterior hypothalamus, or POA/AH, because of its importance for temperature regulation, thirst, and sexual

STOP & CHECK 11. At what time in a woman’s menstrual cycle do her estradiol

levels increase? When are they lowest? 12. When is a woman most likely to act sexy and initiate sexual

activity?

ANSWERS

11. Estradiol levels increase during the days leading up to the middle of the menstrual cycle. They are lowest during and just after menstruation. 12. During the periovulatory period.

Figure 10.11 Brain development and maternal behavior in mice The mouse on the left shows normal maternal behavior. The one on the right has a genetic mutation that impairs the development of the preoptic area and anterior hypothalamus. (Source: Reprinted from Cell, 86/2, Brown, J. R., Ye, H., Bronson, R. T., Dikkes, P., & Greenberg, M. E., “A defect in nurturing in mice lacking the immediate early gene fosB,” 297–309, 1996, with permission of Elsevier.)

08202_ch10_ptg01.indd 332 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 333

however, human parental behavior is experience-dependent more than hormone-dependent.

Several studies show a correlation between fathers’ hormones and their behavior toward their infants and toddlers. On average, a man’s testosterone level declines and his prolactin level increases when a baby is born, but only if the man has a close relationship with the mother, and only in societies where men contribute to infant care (Edelstein et al., 2015; Storey & Ziegler, 2016). On average, men with lower testosterone levels and higher prolactin levels spend more time playing with and caring for their children (Gordon, Zagoory-Sharon, Leckman, & Feldman, 2010; Mascaro, Hackett, & Rilling, 2013). Because these are correlational data, we do not know to what extent the hormones are the cause of the men’s behavior, and to what extent they are the result.

birth, the delivery causes a change in her brain that makes the infants’ odor more appealing (Lévy, Keller, & Poindron, 2004). However, suppose an experimenter leaves a female rat that has never been pregnant with some baby rats. Because they cannot survive without the care that she fails to provide, the experimenter periodically replaces them with new, healthy babies. Over a few days, the female gradually becomes more attentive, builds a nest, assembles the babies in the nest, licks them, and does everything else that normal mothers do, ex- cept nurse them. (Without giving birth, she does not secrete the prolactin and oxytocin necessary for milk production.) This experience-dependent behavior does not require hor- monal changes and occurs even in females that had their ova- ries removed (Mayer & Rosenblatt, 1979; Rosenblatt, 1967). It occurs even in males, despite the fact that male rats ordinar- ily do not participate in care for the young. In nature, they would not remain close enough to the mother or her young to develop this effect. You might think this process is just a laboratory curiosity, but it is important in nature. Although hormonal changes trigger the early stage of maternal care, the hormones start to decline a few days later. By that time, the experience of being with the young triggers the same types of maternal behavior, and the same types of brain activity, that the early hormones did (Rosenblatt, 1970; Stolzenberg & Champagne, 2016).

In humans, the hormonal changes during pregnancy and delivery enable a mother to produce milk. Brain scans also show growth of several areas in her brain from early to late pregnancy and then delivery, especially in areas responsible for reward and motivation. The amount of expansion in those areas correlates with the positive emotions a woman expresses about having a baby (Kim, Strathearn, & Swain, 2016). Overall,

(a)

(b)

Hypothalamus

Hypothalamus

Figure 10.12 Effects of vasopressin on social and mat- ing behaviors Prairie voles (top) form long-term pair bonds. Staining of their brain shows much expression of the hormone vasopressin in the hypothalamus. A closely related species, meadow voles (bottom), show no social attachments. Their brains have lower vasopressin levels, as indicated by less staining in the hypothalamus. (Source: Reprinted with permission from “Enhanced partner preference in a promiscuous species by manipulating the expression of a single gene,” by Lim, M. M., Wang, Z., Olazabal, D. E., Ren, X., Terwillinger, E. F., & Young, L. J., Nature, 429, 754–757. Copyright 2004 Nature Publishing Group/Macmillan Magazines Ltd.)

STOP & CHECK 13. What factors are responsible for maternal behavior shortly

after rats give birth? What factors become more important in later days?

ANSWER

13. The early stage of rats’ maternal behavior depends on a surge in the release of the hormones prolactin and estradiol. A few days later, her experience with the young decreases the responses that would tend to make her reject them. Experience with the young maintains maternal behavior after the hormone levels begin to drop.

08202_ch10_ptg01.indd 333 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

334 CHAPTER 10 Reproductive Behaviors

A mother rat licks her babies all over shortly after their birth, and that stimulation is essential for their survival. Why does she do it? Presumably, she does not understand that licking will help them. She licks because they are covered with a salty fluid that tastes good to her. If she has access to other salty flu- ids, she stops licking her young (Gubernick & Alberts, 1983).

Analogously, sexual behavior in general serves the function of passing on our genes, but we engage in sexual behavior just because it feels good. We evolved a tendency to enjoy the sex act. The same principle holds for hunger, thirst, and other moti- vations: We evolved tendencies to enjoy the acts that increased our ancestors’ probability of surviving and reproducing.

Reproductive Behaviors and Motivations

Module 10.1 In Closing

Summary 1. Male and female behaviors differ because of sex hor-

mones that activate particular genes. Also, certain genes on the X and Y chromosomes exert direct effects on brain development. 322

2. Organizing effects of a hormone, exerted during a sensi- tive period, produce relatively permanent alterations in anatomy and physiology. 324

3. In the absence of sex hormones, an infant mammal develops female-looking external genitals. The addition of testosterone shifts development toward the male pattern. Extra estradiol, within normal limits, does not determine whether the individual looks male or female. However, estradiol is essential for normal development of a female’s internal anatomy. 324

4. Many brain areas differ on average between males and females. The mechanisms behind these differences vary from one area to another. Consequently a given individ- ual’s brain areas have a mosaic of male-typical, female- typical, and neutral anatomy. 325

5. In adulthood, sex hormones activate sex behaviors, partly by facilitating activity in the medial preoptic area and anterior hypothalamus. 328

6. A woman’s menstrual cycle depends on a feedback cycle that controls the release of several hormones. Although women can respond sexually at any time in their cycle, on average, their sexual desire is greatest during the fertile period of the menstrual cycle, when estradiol levels are high. 329

7. Sex hormones also influence behaviors not directly related to sexual reproduction, such as the ability to rec- ognize emotional expressions. 331

8. Hormones released around the time of giving birth facilitate maternal behavior in females of many mamma- lian species. Prolonged exposure to young also induces parental behavior. In humans, the hormonal changes dur- ing pregnancy and delivery enable a woman to produce milk. Testosterone levels decline around the time of birth for many fathers, and those with lower testosterone levels tend to participate more in infant care. 332

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

activating effects 324 alpha-fetoprotein 325 androgens 322 estradiol 323 estrogens 322 follicle-stimulating hormone

(FSH) 329 impotence 329

luteinizing hormone (LH) 329 menstrual cycle 329 Müllerian ducts 322 organizing effects 324 ovaries 322 oxytocin 328 periovulatory period 330 progesterone 323

sensitive period 324 SRY gene 322 steroid hormones 322 testes 322 testosterone 323 Wolffian ducts 322

1. The pill RU-486 produces abortions by blocking the effects of progesterone. Why would blocking proges- terone interfere with pregnancy?

2. The presence or absence of testosterone determines whether a mammal will differentiate as a male or a female. In birds, the story is the opposite: The presence

Thought Questions

08202_ch10_ptg01.indd 334 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.1 Sex and Hormones 335

or absence of estrogen is critical (Adkins & Adler, 1972). What problems would sex determination by estrogen create if that were the mechanism for mammals? Why do those problems not arise in birds? (Hint: Think about the difference between live birth and hatching from an egg.)

3. Antipsychotic drugs, such as haloperidol and chlorpromazine, block activity at dopamine syn- apses. What side effects might they have on sexual behavior?

Module 10.1 End of Module Quiz

1. What does the SRY gene do? A. It increases mammalian parental behavior. B. It controls the production of prolactin.

C. It causes a mammalian embryo to develop into a female. D. It causes a mammalian embryo to develop into a male.

2. Why is it impossible to have both a penis and a clitoris? A. Either one develops from the same embryonic

structure. B. The production of testosterone interferes with pro-

duction of estradiol.

C. Forming a clitoris requires having two X chromosomes.

D. The developing embryo would not have enough fuel to develop both structures.

3. What is the main difference between organizing effects and activating effects of hormones? A. Organizing effects are long-lasting, whereas activating

effects are temporary. B. Organizing effects alter brain activity, whereas activat-

ing effects alter other parts of the body.

C. Organizing effects are excitatory, whereas activating effects are inhibitory.

D. Organizing effects depend on estrogens, whereas activating effects depend on androgens.

4. What causes an embryo to develop female external genitals? A. A high ratio of estradiol to testosterone B. A high level of estradiol, regardless of testosterone

C. A high level of both estradiol and testosterone D. A low level of testosterone, regardless of estradiol

5. How does sexual differentiation of the brain differ between rodents and primates? A. In rodents it depends on the level of testosterone. In

primates it depends on the level of estradiol. B. In rodents it depends on the level of estradiol. In pri-

mates it depends on oxytocin.

C. In rodents, testosterone must be aromatized to estra- diol before it affects developing neurons.

D. In primates, testosterone must be aromatized to estra- diol before it affects developing neurons.

6. Which of these is true about sex differences in brain anatomy? A. On average, males and females have the same anatomy

for all brain areas. B. Wherever males and females differ in brain anatomy,

testosterone is responsible.

C. Wherever males and females differ in brain anatomy, a gene on the Y chromosome is responsible.

D. The mechanisms of sexual differentiation vary from one area to another.

7. Prenatal exposure to higher than average levels of testosterone produces what effect, if any, on girls? A. It leads to earlier than average onset of puberty. B. It leads to lower than average intelligence.

C. It leads to higher than average interest in boys’ toys and activities.

D. It produces no noticeable effect.

8. When an antidepressant drug increases serotonin levels, which inhibits dopamine release, what happens to sexual behavior? A. Indiscriminate approach to both male and female

partners B. Increased sexual arousal

C. Decreased sexual arousal D. Prolonged orgasm

9. Compared to other men, what are the testosterone levels of married men? A. Lower than average B. About the same as average C. Higher than average

08202_ch10_ptg01.indd 335 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

336 CHAPTER 10 Reproductive Behaviors

10. What does the combination pill for birth control contain? A. Estradiol and testosterone B. Testosterone and insulin

C. Estradiol and progesterone D. Oxytocin and vasopressin

11. Female sex drive depends on which hormone or hormones? A. Estradiol B. Testosterone

C. Estradiol and testosterone equally D. Oxytocin

12. Vasopressin increases male mammals’ probability of which behavior? A. Homosexuality B. Sleep

C. Care for young D. Attack

Answers: 1D, 2A, 3A, 4D, 5C, 6D, 7C, 8C, 9A, 10C, 11A, 12C.

08202_ch10_ptg01.indd 336 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

337

People vary in their frequency of sexual activity, preferred types of sexual activity, and sexual orientation. In this mod- ule, we explore some of that diversity, but first we consider a few differences between men and women in general. Do men’s and women’s mating behaviors make biological sense? If so, should we interpret these behaviors as products of evolution? These questions are difficult and controversial.

Evolutionary Interpretations of Mating Behavior Part of Charles Darwin’s theory of evolution by natural selec- tion was that individuals whose genes help them survive will produce more offspring, and therefore the next generation will resemble those with these favorable genes. A second part of his theory, not so widely accepted at first, was sexual selection: Genes that make an individual more appealing to the other sex will increase the probability of reproduction, and there- fore the next generation will resemble those with such genes.

Sexual selection can go only so far, however, if it starts to interfere with survival. A male deer with large antlers attracts females, but being impressive wouldn’t help if the weight interfered with his movement. A bird’s bright colors attract potential mates, but they also run the risk of attracting a predator’s attention. In many bird species, the male is brightly colored, but the female is not, presumably because she sits on the nest and needs to be less conspicuous. In a few species, such as phalaropes, the female is more brightly colored, but in those species, the female lays the egg and deserts it, leaving the dull-colored male to sit on the nest. In species where the male and female share the nesting duties, such as pigeons and doves, the male and female look alike, and neither is especially gaudy.

In humans, too, some of the differences between men and women may be results of sexual selection. That is, to some ex- tent women evolved based on what appeals to men, and men evolved based on what appeals to women. Certain aspects of behavior may also reflect evolutionary pressures for men and women. Evolutionary psychologists cite several possible examples, although each has been controversial (Buss, 2000). Let’s examine examples.

Interest in Multiple Mates Across cultures, more men than women seek opportunities for casual sexual relationships with many partners. Why? From the evolutionary standpoint of spreading one’s genes, men can succeed by either of two strategies (Gangestad & Simpson, 2000): Be loyal to one woman and devote your energies to helping her and her babies, or mate with many women and hope that some of them can raise your babies without your help. No one needs to be conscious of these strategies, of course. The idea is that men in the past who acted in either of these ways propagated their genes, and today’s men have inherited genes that promote these be- haviors. In contrast, a woman can have no more than one pregnancy per 9 months, regardless of her number of sex partners. So evolution may have predisposed men, or at least some men, to be more interested in multiple mates than women are.

Variations in Sexual Behavior

Module 10.2

A female phalarope is brilliantly colored, and the male is drabber. The female lays eggs and deserts the nest, leaving the male to attend to it.

Pa nu

R ua

ng ja

n/ Sh

ut te

rs to

ck .c

om

08202_ch10_ptg01.indd 337 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

338 CHAPTER 10 Reproductive Behaviors

wives’ infidelity varies. However, no known society considers infidelity more acceptable for women than for men.

Which would upset you more: if your partner had a brief sexual affair with someone else, or if he or she became emo- tionally close to someone else? In general, men tend to be more jealous about sexual infidelity than women are, whereas women tend to be more jealous about emotional infidelity. However, these differences are small, and they vary depending on the procedure and the population tested (Carpenter, 2012; Sagarin et al., 2012). Both men and women are upset about either sexual or emotional infidelity.

Evolved or Learned? In many species of mammals and birds, a male defends his sexual access to one or more females and attacks any other ap- proaching male. Meanwhile, the female shows little or no re- sponse if her male sexually approaches some other female. In such cases an interpretation in terms of evolutionary selection is generally noncontroversial. However, the interpretation is less clear for our own species. One reason is that when some- one argues that evolutionary selection led men to be interested in multiple sex partners or to be more jealous than women are, it may sound like a justification for men to act that way. (It is not. Even if we have a biological predisposition to act a certain way, it does not force us to do so. Civilization requires us to override many selfish impulses.) But even if we leave aside the ethical implications, the scientific data are not conclusive on how much of our sexual behavior is evolutionarily guided and how much is learned. Mating customs show some similarities across cultures, but also important differences. Yes, of course our behavioral tendencies are a product of evolution. But it is not clear that evolution micromanages our behavior, down to such details as whether to look for a mate with high earning potential or how jealous to be of an unfaithful mate.

One objection is that a woman does sometimes gain from having multiple sex partners (Hrdy, 2000). If her husband is infertile, then mating with another man could be her only way of reproducing. Also, another sexual partner may provide aid of various sorts to her and her children. In addition, she has the possibility of “trading up,” abandoning her first mate for a better one. So the prospect of multiple mates may be more ap- pealing to men, but it has advantages for women, too.

Another objection is that researchers have no direct evi- dence that genes influence people’s preferences for one mate or many. We shall return to this issue later.

What Men and Women Seek in a Mate Almost all people prefer a romantic partner who is healthy, in- telligent, honest, and physically attractive. Often, women have additional interests that are less common for men. In partic- ular, women are more likely than men are to prefer a mate who is likely to be a good provider (Buss, 2000). According to evolutionary theorists, the reason is this: While a woman is pregnant or taking care of a small child, she needs help getting food and other requirements. Evolution would have favored any gene that caused women to seek good providers. Related to this tendency, most women tend to be cautious during courtship. Even if a man seems interested in her, a woman is generally slow to conclude that he has a strong commitment to her (Buss, 2001). She would not want a man who acts inter- ested and then leaves when she needs him.

Men tend to have a stronger preference for a young part- ner. An evolutionary explanation is that young women are likely to remain fertile longer than older women are, so a man can have more children by pairing with a young woman. Men remain fertile into old age, so a woman has less need to in- sist on youth. Women prefer young partners when possible, but in many societies, only older men have enough financial resources.

Are these preferences rooted in genetics? Perhaps, but the variation from culture to culture suggests a strong learned component. In countries where women have good educa- tional, economic, and employment opportunities, a woman is more likely to choose a partner close to her own age, and less likely to choose based on wealth (Zentner & Mitura, 2012).

Differences in Jealousy Traditionally, in nearly all cultures, men have been more jeal- ous of a wife’s possible infidelity than women have been of a husband’s infidelity. From an evolutionary standpoint, why? If a man is to pass on his genes—the key point in evolution—he needs to be sure that the children he supports are his own. An unfaithful wife threatens that certainty. A woman knows that any children she bears are her own, so she does not have the same worry. (She might, however, worry that her husband might start supporting some other woman’s children, instead of her own children.) The degree of jealousy varies among cultures. Some cultures tolerate sexual infidelity by husbands, and some do not, and the intensity of prohibition against

STOP & CHECK 14. What evolutionary advantage is suggested for why women

are more interested in men’s wealth and success than men are interested in women’s wealth?

ANSWER

14. During pregnancy and early child care, a female is limited in her ability to get food and therefore prefers a male partner who can provide for her. A healthy male is not similarly dependent on a female.

Gender Identity and Gender- Differentiated Behaviors Many fish can change between male and female. For fish, sexual identity is more fluid than it is for us. (Please excuse the bad pun.) In the animated film Finding Nemo, after Ne- mo’s mother died, in reality the clown fish father would have changed into a female at that point. However, the biologist

08202_ch10_ptg01.indd 338 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.2 Variations in Sexual Behavior 339

feedback signal, it continues secreting more ACTH, causing the adrenal gland to secrete more and more of its other hor- mones, including testosterone. In a genetic male, the extra testosterone causes little effect. However, genetic females with this condition develop various degrees of masculiniza- tion of their external genitals. (The ovaries and other inter- nal organs are less affected.) Figure 10.13 shows an example. After birth, these children are given medical treatments to bring their adrenal hormones within normal levels. Some are also given surgery to alter their external genital appear- ance, as we shall discuss later.

A person whose sexual development is intermediate, as in Figure 10.13, is called an intersex. An alternative is to use the term differences of sexual development. How common are intersexes? An estimated 1 child in 100 in the United States is born with some degree of genital ambiguity, and 1 in 2000 has enough ambiguity to make its male or female status un- certain (Blackless et al., 2000). However, the accuracy of these estimates is doubtful, as hospitals and families keep the in- formation private. Maintaining confidentiality is of course important, but an unfortunate consequence is that intersexed people have trouble finding others like themselves. For more information, consult the website of the Intersex Society of North America (ISNA).

who advised the film producers agreed that scientific accu- racy on this point would have been more confusing to chil- dren than helpful (Cressey, 2016)!

People do not have the same flexibility as fish, but we do have variations in sexual development. Let us specify from the start: “Different” does not mean “wrong.” People differ naturally in their sexual development just as they do in any- thing else.

Gender identity is what we consider ourselves to be. The biological differences between males and females are sex dif- ferences, whereas the differences that result from people’s re- garding themselves as male or female are gender differences. To maintain this useful distinction, we should resist the trend to speak of the “gender” of fish, fruit flies, and so forth. Gender identity is a human characteristic.

Most people accept the gender identity that matches their external appearance, which also matches the way they were reared, but some do not. Psychologists used to assume that gender identity depends mainly or entirely on the way people rear their children. However, several kinds of evidence sug- gest that biological factors, especially prenatal hormones, are important also.

Intersexes A hermaphrodite (from Hermes and Aphrodite in Greek my- thology) has anatomy intermediate between male and female, or shows a mixture of male and female anatomies (Haqq & Donahoe, 1998). A true hermaphrodite has some testicular tissue and some ovarian tissue. One way for this to happen is for a woman to release two ova, each fertilized by a differ- ent sperm, which then fuse instead of becoming twins. If one of the fertilized ova had an XX chromosome pattern and the other had XY, the resulting child has some XX cells and some XY cells. True hermaphrodites are rare. Some are fertile as ei- ther male or female, although no cases are known in which someone was fertile as both. Don’t believe any report that some hermaphrodite impregnated himself/herself.

More commonly, some people develop an intermediate appearance because of an atypical hormone pattern. Recall that testosterone masculinizes the genitals and the hypothala- mus during early development. A genetic male with low levels of testosterone or a deficiency of testosterone receptors may develop a female or intermediate appearance (Misrahi et al., 1997). A genetic female who is exposed to more testosterone than the average female can be partly masculinized.

The most common cause of this condition is congenital adrenal hyperplasia (CAH), meaning overde- velopment of the adrenal glands from birth. Ordinarily, the adrenal gland has a negative feedback relationship with the pituitary gland. The pituitary secretes adrenocorticotropic hormone (ACTH), which stimulates the adrenal gland. Cortisol, one of the hormones from the adrenal gland, feeds back to decrease the release of ACTH. Some people have a genetic limitation in their ability to produce corti- sol. Because the pituitary fails to receive much cortisol as a

STOP & CHECK 15. What is a common cause for a genetic female (XX) to

develop a partly masculinized anatomy?

ANSWER

15. If a genetic female is genetically deficient in her ability to produce cortisol, the pituitary gland does not receive negative feedback signals and therefore continues stimu- lating the adrenal gland. The adrenal gland then produces large amounts of its other hormones, including testosterone, which masculinizes development.

Figure 10.13 External genitals of a genetic female, age 3 months The genitals were masculinized by excess androgens from the adrenal gland before birth.

08202_ch10_ptg01.indd 339 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

340 CHAPTER 10 Reproductive Behaviors

androgens. This condition, known as androgen insensitivity or testicular feminization, occurs in various degrees result- ing in anatomy that ranges from a smaller than average penis to genitals like those of a typical female, in which case no one has any reason to suspect the person is anything other than female, until puberty. Then, although her breasts develop and hips broaden, she does not menstruate, because her body has internal testes instead of ovaries and a uterus. The vagina is short and leads to nothing but skin. Also, pubic hair is sparse or absent, because it depends on androgens in females as well as males. Psychologically, she develops as a typical female.

Interests and Preferences of Girls with CAH For many years, the policy was to raise most intersexes as girls, on the assumption that surgery could make them look like nor- mal girls, and they would develop behaviors corresponding to the way they were reared. However, their brains were exposed to higher than normal testosterone levels during prenatal and early postnatal life compared to other girls. What happened to their behavior? As discussed in the first module of this chapter, prenatal levels of testosterone correlate with girls’ toy choices. The same idea applies here. In several studies, girls with CAH were observed in a room full of toys—including some that were girl typical (dolls, plates and dishes, cosmetics kits), some that were boy typical (toy car, tool set, gun), and some that were neutral (puzzles, crayons, board games). The girls with CAH played with boys’ toys more than most other girls did, but less than the average for boys (Pasterski et al., 2005, 2011). When the children tested with a parent present, again the girls with CAH were intermediate between the other two groups. Other studies found that the girls exposed to the largest amount of testosterone in early development showed the largest preference for boys’ toys (Berenbaum, Duck, & Bryk, 2000; Nordenström, Servin, Bohlin, Larsson, & We- dell, 2002). You might wonder whether the parents, knowing that these girls had been partly masculinized in appearance, might have encouraged tomboyish activities. Observations of the parents showed that they generally encouraged the girls to play with whatever they wanted to play with (Wong, Pas- terski, Hindmarsh, Geffner, & Hines, 2013). On average, girls with CAH also perform slightly better than most other girls on spatial and mechanical skills, on which boys generally do better than girls (Berenbaum, Bryk, & Beltz, 2012; Hampson & Rovet, 2015). It is uncertain how much the variation in these skills reflects abilities and how much it reflects interests (Feng, Spence, & Pratt, 2007; Tarampi, Heydari, & Hegarty, 2016).

A study of girls with CAH in adolescence found that, on average, their interests are intermediate between those of typical male and female adolescents. For example, they read more sports magazines and fewer style and glamour maga- zines than the average for other teenage girls (Berenbaum, 1999). In adulthood, they show more physical aggression than most other women do, and less interest in infants (Mathews, Fane, Conway, Brook, & Hines, 2009). They are more inter- ested in rough sports and more likely than average to be in heavily male-dominated occupations such as auto mechanic and truck driver (Frisén et al., 2009). Nevertheless, most continue to identify as female (Meyer-Bahlburg et al., 2016). Together, the results imply that prenatal and early postnatal hormones influence people’s interests as well as their physical development.

Testicular Feminization Certain individuals with an XY chromosome pattern produce normal amounts of androgens, including testosterone, but lack the receptor that enables those chemicals to activate genes in a cell’s nucleus. Consequently, the cells do not respond to

STOP & CHECK 16. If a genetic female is exposed to extra testosterone during

prenatal development, what behavioral effect is likely? 17. What would cause a genetic male (XY) to develop a partly

feminized external anatomy?

ANSWERS

16. A girl who is exposed to extra testosterone during prenatal development is more likely than most other girls to prefer boy-typical activities. 17. A genetic male with a gene that prevents testosterone from binding to its receptors will develop an appearance that partly or completely resembles a female.

Issues of Gender Assignment and Rearing Girls with CAH and related conditions are born with ap- pearances ranging from almost typical female to something intermediate between female and male. Some genetic males are born with a very small penis because of a condition called cloacal exstrophy, a defect of pelvis development (Reiner & Gearhart, 2004). Despite their genital anatomy, they had typi- cal male levels of testosterone in prenatal development.

How should children with either of these conditions be reared? Beginning in the 1950s, medical doctors began rec- ommending that anyone with an intermediate or ambiguous genital appearance should be reared as a girl, using surgery if necessary to make the genitals look more feminine (Dreger, 1998). The reason was that it is easier to reduce an enlarged clitoris to normal female size than expand it to penis size. If necessary, surgeons can build an artificial vagina or lengthen a short one. After the surgery, the child looks female. Physi- cians and psychologists assumed that any child who was con- sistently reared as a girl would fully accept that identity.

And she lives happily ever after, right? Not necessarily. Of the males with cloacal exstrophy who are reared as girls, all develop typical male interests, many or most eventually demand reassignment as males, and nearly all develop sexual attraction toward women, not men (Reiner & Gearhart, 2004).

Girls with the CAH history also have a difficult sexual adjustment, especially if they were subjected to clitoris-reduc- tion surgery. A surgically created or lengthened vagina may be satisfactory to a male partner, but it provides no sensation to

08202_ch10_ptg01.indd 340 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.2 Variations in Sexual Behavior 341

the assigned role, we would know that upbringing determines gender identity. Although no one would perform such an ex- periment intentionally, we can learn from accidental events. In some cases, someone was exposed to a more-or-less nor- mal pattern of male hormones before and shortly after birth but then reared as a girl.

One type of case was reported first in the Dominican Republic and then in other places, usually in communities with much inbreeding. In each case, certain genetic males fail to produce 5α-reductase 2, an enzyme that converts testos- terone to dihydrotestosterone. Dihydrotestosterone is more effective than testosterone for masculinizing the external genitals. At birth, these individuals appear to be female, al- though some have a swollen clitoris and somewhat “lumpy” labia. Although they are considered girls and reared as such, their brains had been exposed to male levels of testosterone during early development. At puberty, the testosterone levels increase sharply, and even without conversion to dihydrotes- tosterone, the result is growth of a penis and scrotum, enough to be clearly male.

Women: Imagine that at about age 12 years, your external genitals suddenly changed from female to male. Would you say, “Okay, I guess I’m a boy now”? Most of these people re- acted exactly that way. The girl-turned-boy developed a male gender identity and directed his sexual interest toward fe- males (Cohen-Kettenis, 2005; Imperato-McGinley, Guerrero, Gautier, & Peterson, 1974). Remember, these were not typical girls. Their brains had been exposed to male levels of testos- terone from prenatal life onward.

A particularly disturbing case concerns one infant boy whose penis foreskin would not retract enough for easy uri- nation. His parents took him to a physician to circumcise the foreskin, but the physician, using an electrical procedure, set the current too high and accidentally burned off the entire pe- nis. On the advice of respected authorities, the parents elected to rear the child as a female, with the appropriate surgery. What makes this case especially interesting is that the child had a twin brother (whom the parents did not let the physician try to circumcise). If both twins developed satisfactory gen- der identities, one as a girl and the other as a boy, the results would say that rearing was decisive in gender identity.

Initial reports claimed that the child reared as a girl had a female gender identity, though she also had strong tomboy- ish tendencies (Money & Schwartz, 1978). However, by about age 10, she had figured out that something was wrong and that “she” was really a boy. She had preferred boys’ activities and played only with boys’ toys. She even tried urinating in a standing position, despite always making a mess. By age 14, she insisted that she wanted to live as a boy. At that time, her (now his) father tearfully explained the earlier events. The child changed names and became known as a boy. At age 25, he married a somewhat older woman and adopted her chil- dren. Clearly, a biological predisposition had won out over the family’s attempts to rear the child as a girl (Colapinto, 1997; Diamond & Sigmundson, 1997). A few years later, the story ended tragically with this man’s suicide.

the woman and requires frequent attention to prevent it from scarring over. Many such women have urinary incontinence and significant sexual difficulties, including lack of orgasm. Many report no sexual partner ever and little pleasure in sex (Frisén et al., 2009; Meyer-Bahlburg, Dolezal, Baker, & New, 2008; Minto, Liao, Woodhouse, Ransley, & Creighton, 2003; Nordenström et al., 2010; van der Zwan et al., 2013; Zucker et al., 1996). In one study, 25 percent said they had never had a love relationship of any type (Jürgensen et al., 2013).

Many intersexes wish they had their original enlarged clitoris instead of the mutilated, insensitive structure left to them by a surgeon. Moreover, intersexes resent being de- ceived. Historian Alice Dreger (1998) describes the case of one intersex:

As a young person, [she] was told she had “twisted ovaries” that had to be removed; in fact, her testes were removed. At the age of twenty, “alone and scared in the stacks of a [medical] library,” she discovered the truth of her condition. Then “the pieces finally fit together. But what fell apart was my relationship with both my family and physicians. It was not learning about chromosomes or testes that caused enduring trauma, it was discovering that I had been told lies. I avoided all medical care for the next 18 years. . . . [The] greatest source of anxiety is not our gonads or karyotype. It is shame and fear resulting from an environment in which our condition is so unaccept- able that caretakers lie.” (p. 192)

How should such a child be reared? A growing number of spe- cialists follow these recommendations:

●● Be completely honest with the intersexed person and the family, and do nothing without their informed consent.

●● Identify the child as male or female based mainly on the predominant external appearance. That is, there should be no bias toward calling every intersex a female. Those born with masculinized external genitals seldom make a successful adaptation to a female gender assignment (Houk & Lee, 2010).

●● Rear the child as consistently as possible, but be prepared that the person might later be sexually oriented toward males, females, both, or neither.

●● Do not perform genital surgery on a child. Such surgery impairs the person’s erotic sensation and is at best prema- ture, as no one knows how the child’s sexual orientation will develop. If the intersexed person makes an informed request for such surgery in adulthood, then it is appro- priate, but otherwise it should be avoided. (Diamond & Sigmundson, 1997)

Discrepancies of Sexual Appearance To resolve the roles of rearing and hormones in determining gender identity, the most decisive observation would come from rearing a normal male baby as a female or rearing a nor- mal female baby as a male. If the resulting adult fully accepts

08202_ch10_ptg01.indd 341 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

342 CHAPTER 10 Reproductive Behaviors

people (Ward, Dahlhamer, Galinsky, & Joestl, 2014). Relatively few men are bisexual, although some are “mostly straight” or “mostly gay” (Savin-Willliams, 2016). Even though a man may have had both homosexual and heterosexual experiences, his preference and fantasies almost always lean strongly one way than the other, rather than being equal (Norris, Marcus, & Green, 2015; Rieger, Chivers, & Bailey, 2005). Some women switch between homosexual and heterosexual orientations, possibly more than once (Diamond, 2007). Men rarely switch orientations.

Behavioral and Anatomical Differences Homosexual and heterosexual people differ anatomically in several ways. On average, the shape of the nose and the shape of the forehead differ between homosexual and heterosexual men, and also between homosexual and heterosexual women (Skorska, Geniole, Vrysen, McCormick, & Bogaert, 2015). On average, heterosexual men are slightly taller and heavier than homosexual men (Bogaert, 2010). However, let’s emphasize the terms “on average” and “slightly”: The difference on aver- age is only 1.5 cm (about half an inch). Contrary to the stereo- type, some homosexual men are tall, athletic, and masculine in appearance.

On average, people who differ in sexual orientation also differ in certain behaviors that are not directly related to sex. For example, gay men are more likely than average to choose “female-typical” careers such as florist or hairdresser. That tendency has been documented in Samoa as well as in Ameri- can and European cultures (Semenyna & Vasey, 2016). Also, whereas heterosexual men usually give directions in terms of distances and north, south, east, or west, women and homo- sexual men are more likely to describe landmarks (Hassan & Rahman, 2007).

Genetics Early studies of the genetics of human sexual orientation be- gan by advertising in gay or lesbian publications for homo- sexual people with twins. When someone responded, the researchers contacted the other twin to fill out a question- naire that included sexual orientation. The results showed a stronger concordance (agreement) for monozygotic than dizygotic twins (Bailey et al., 2016). Note, this does not say that monozygotic twins are more likely to be homosexual than dizygotic twins are. It says that monozygotic twins are more likely to have the same sexual orientation.

However, the kind of person who answers an ad in a gay or lesbian magazine is probably not typical of others. A later study examined the data from all the twins in Sweden between ages 20 and 47 (Långström, Rahman, Carlström, & Lichtenstein, 2010). The Swedish study differed not only in the breadth of the sample, but also in the behavioral crite- rion. Instead of asking about sexual orientation, the research- ers asked whether someone had ever had a same-sex partner. Figure 10.14 compares the data from the two studies. The

Sexual Orientation Contrary to what biologists once assumed, same-sex genital contact occurs in many animal species, and not just in cap- tive animals, those that cannot find a member of the opposite sex, or those with hormonal abnormalities (Bagemihl, 1999). If “natural” means “occurs in nature,” then homosexuality is natural. Nevertheless, exclusive, lifelong homosexual orienta- tion has been demonstrated in only two species—humans and sheep (Bailey et al., 2016).

People discover their sexual orientation. They can choose their actions, but not their desires or orientation, any more than people choose whether to be left-handed or right- handed. Whereas most men discover their sexual orientation early, many women are slower. Boys’ feminine-type behaviors in childhood and adolescence correlate strongly with homo- sexual orientation in adulthood (Cardoso, 2009; Alanko et al., 2010), but girls’ masculine-type behaviors are poor predic- tors of later sexual orientation (Alanko et al., 2010; Udry & Chantala, 2006).

Although the results vary from one survey to another, the mean estimate is that about 3.5 percent of adults in the United States identify as gay or lesbian (Gates, 2011). The percent- age varies depending on how the question is worded (Bailey et al., 2016). The percentage also varies somewhat among countries, although we do not know how much of the appar- ent difference is due to secrecy or inaccurate reporting. In ad- dition, a few percent of people who identify as straight have had at least one homosexual experience, or acknowledge oc- casional same-sex attraction (Norris, Marcus, & Green, 2015). Transgender people—those who have switched their gender identity—constitute perhaps 0.3 percent of the American population, although researchers have less confidence in the accuracy of this number.

Bisexuality is considerably more common in women than in men, and more common in younger people than in older

STOP & CHECK 18. When children who had been reared as girls reached puberty

and grew a penis and scrotum, what happened to their gen- der identity?

ANSWER 18. Most changed their gender identity from female to male.

We should not draw universal conclusions from a single case. However, the point is that it was a mistake to impose surgery and hormonal treatments to try to force this child to become female. When the prenatal hormone pattern of the brain is in conflict with a child’s appearance, no one can be sure how that child will develop psychologically. Hor- mones don’t have complete control, but rearing patterns don’t, either.

08202_ch10_ptg01.indd 342 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.2 Variations in Sexual Behavior 343

evolution selected strongly against those genes? Several possi- bilities are worth considering. One is that genes for homosexu- ality are maintained by kin selection, as discussed in Chapter 4. That is, even if homosexual people do not have children them- selves, they might do a wonderful job of helping their brothers and sisters rear children. Survey data in the United States in- dicate that homosexual men are no more likely, and perhaps less likely, than heterosexuals to help support their relatives (Bobrow & Bailey, 2001). However, observations in Samoa found that homosexual men are more helpful than average to- ward their nephews and nieces (Vasey & VanderLaan, 2010). It is difficult to know what might have been the usual pattern through human existence.

According to a second hypothesis, genes that produce male homosexuality might produce advantageous effects in their relatives, increasing their probability of reproducing and spreading the genes. What those advantages might be is a matter for speculation. A couple of studies have reported that relatives of gay men have a somewhat greater than aver- age number of children (Camperio-Ciani, Corna, & Capiluppi, 2004; Schwartz et al., 2010). To evaluate this possibility more seriously, it would be best to study societies that do not prac- tice family planning.

A third idea is that homosexuality relates to epigenetics rather than changes in DNA sequence (Rice, Friberg, & Gavrilets, 2012). As mentioned in Chapter 4, it is possible for environmental events to attach an acetyl group or a methyl group (CH3) to activate or inactivate a gene. Some epigenetic changes persist from one generation to the next. Perhaps epi- genetic changes affect certain genes often enough to produce the observed prevalence of homosexuality.

results do not indicate number of people with homosexual ac- tivity or orientation. Rather, they indicate concordance—the probability of homosexual activity or orientation in one twin, given that the other twin had already indicated such activity. Although both sets of results show a higher concordance for monozygotic than dizygotic twins, note the huge difference between the studies. Other studies of twins in several coun- tries also found higher concordance for sexual orientation in monozygotic than dizygotic twins, but the magnitude of the effect has varied considerably (Alanko et al., 2010; Burri, Cherkas, Spector, & Rahman, 2011).

Modern methods also enable researchers to compare chromosomes. The results have identified a couple of sites where one form of a gene is somewhat more common in ho- mosexual than heterosexual men (Sanders et al., 2015). Two studies reported a higher incidence of homosexuality among the maternal than paternal relatives of homosexual men (Cam- perio-Ciani, Corna, & Capiluppi, 2004; Hamer, Hu, Magnu- son, Hu, & Pattatucci, 1993). For example, they reported that uncles and cousins on the mother’s side were more likely to be homosexual than uncles and cousins on the father’s side. These results suggested a gene on the X chromosome, which a man necessarily receives from his mother. However, other studies have found no difference between relatives on the moth- er’s and father’s side (Bailey et al., 1999; Rice, Anderson, Risch, & Ebers, 1999; VanderLaan, Forrester, Petterson, & Vasey, 2013), and one study found more homosexual relatives on the father’s side (Schwartz, Kim, Kolundzija, Rieger, & Sanders, 2010). Consequently, it seems doubtful that any gene on the X chromosome plays a major role.

An Evolutionary Question A common estimate is that the average homosexual man has one-fifth as many children as the average heterosexual man. If a homosexual orientation has a genetic basis, why hasn’t

STOP & CHECK 19. For which kind of twin pair is the concordance for sexual

orientation greatest? 20. It seems difficult to explain how a gene could remain at a

moderately high frequency in the population if most men with the gene do not reproduce. How would the hypothesis about epigenetics help with the explanation?

ANSWERS

19. Monozygotic twins have higher concordance than dizy- gotic twins. Be sure to state this point correctly: Do not say that homosexuality is more common in monozygotic than dizygotic twins. It is the concordance that is greater—that is, the probability that both twins have the same sexual orien- tation. 20. According to this hypothesis, some unidenti- fied event in the environment can attach an acetyl group or a methyl group to some gene, increasing or decreasing its activity. That gene modification could be passed to the next generation, producing evidence for a hereditary effect, even though there is no “gene for homosexuality.” If events like this happen often enough, the result could be a moderately high prevalence of homosexuality, even if men with the inactivated gene seldom reproduce.

Figure 10.14 Twin concordance for homosexuality The concordance for homosexual orientation (U.S. study) or homosexual activity (Swedish study) was higher for monozygotic twins than for dizy- gotic twins. (Source: Based on the data of Bailey & Pillard, 1991; Bailey, Pillard, Neale, & Agyei, 1993; Långström, Rahman, Carlström, & Lichtenstein, 2010.)

60

50

40

30

20

10

0 U.S. male sample

Pe rc

en t

co n

co rd

an ce

Swedish male

sample

Swedish female sample

U.S. female sample

Monozygotic

Dizygotic

08202_ch10_ptg01.indd 343 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

344 CHAPTER 10 Reproductive Behaviors

McCrea, Long, & Hennessy, 1999). The long-term effects of either prenatal stress or alcohol include several changes in the structure of the nervous system, making the affected males’ anatomy closer to that of females (Nosenko & Reznikov, 2001; I. L. Ward, Romeo, Denning, & Ward, 1999).

Although these studies pertained to rats, they prompted investigators to examine possible effects of prenatal stress on humans. Three surveys asked mothers of homosexual sons and mothers of heterosexual sons whether they experienced any unusual stress during pregnancy. In two of the three, the mothers of homosexual sons recalled more than average stressful experiences (Bailey, Willerman, & Parks, 1991; Ellis, Ames, Peckham, & Burke, 1988; Ellis & Cole-Harding, 2001). However, these studies relied on women’s memories of preg- nancies more than 20 years earlier. A better but more difficult procedure would be to measure stress during pregnancy and examine the sexual orientation of the sons many years later.

So, what explains the differences in sexual orientation? The answer is probably not the same in all instances. Genetic or epigenetic factors contribute, as well as prenatal environ- ment. Later experiences probably contribute too, although we know little about the types of experience that would be decisive.

Prenatal Influences Adult hormone levels do not explain sexual orientation. On average, homosexual and heterosexual men have nearly the same hormone levels, and most lesbian women have about the same hormone levels as heterosexual women. However, it is possible that sexual orientation depends on testosterone levels during a sensitive period of brain development (Ellis & Ames, 1987). Animal studies have shown that prenatal or early postnatal hormones can produce organizing effects on both external anatomy and brain development. External anatomy develops at a different time from the brain, and so it is pos- sible for early hormones to alter the brain without changing external anatomy.

The mother’s immune system may exert prenatal ef- fects. Studies in several countries report that the probability of a homosexual orientation is slightly higher among men who have older brothers, regardless of the number of sisters and younger brothers (Blanchard, 2008; Bogaert, 2003b; Boz- kurt, Bozkurt, & Sonmez, 2015; Purcell, Blanchard, & Zucker, 2000; Schwartz et al., 2010). Furthermore, what matters is the number of biological older brothers. Growing up with older stepbrothers or adopted brothers has no apparent influence. Having a biological older brother has an influence, even if the brothers were reared separately (Bogaert, 2006). In short, the influence does not stem from social experiences. The key is how many previous times the mother gave birth to a son. The most prominent hypothesis is that a mother’s immune system sometimes reacts against a protein in a son and then attacks subsequent sons enough to alter their development. That hy- pothesis fits with the observation that later-born homosexual men tend to be shorter than average (Bogaert, 2003a).

Another possible influence of prenatal environment re- lates to stress on the mother during pregnancy. Research has shown that prenatal stress alters sexual development in labo- ratory animals. In several experiments, rats in the final week of pregnancy had the stressful experience of confinement in tight Plexiglas tubes for more than 2 hours each day under bright lights. In some cases, they were given alcohol as well. These rats’ daughters looked and acted approximately normal. The sons, however, had normal male anatomy but, in adult- hood, often responded to the presence of another male by arching their backs in the typical rat female posture for sex (I. L. Ward, Ward, Winn, & Bielawski, 1994). Most males that were subjected to either prenatal stress or alcohol developed male sexual behavior in addition to these female sexual be- haviors, but those that were subjected to both stress and alco- hol had decreased male sexual behaviors (I. L. Ward, Bennett, Ward, Hendricks, & French, 1999).

Prenatal stress and alcohol may alter brain development through several routes. Stress releases endorphins, which can antagonize the effects of testosterone on the hypothalamus (O. B. Ward, Monaghan, & Ward, 1986). Stress also elevates levels of certain adrenal hormones (corticosterone in rats, cortisol in human) that decrease testosterone release (O. B. Ward, Ward, Denning, French, & Hendricks, 2002; M. T. Williams, Davis,

STOP & CHECK 21. By what route might having an older brother increase the

probability of male homosexuality? 22. How might stress to a pregnant rat alter the sexual orienta-

tion of her male offspring?

ANSWERS

21. Having an older brother might increase the prob- ability of male homosexuality by altering the mother’s immune system in the prenatal environment. The effect of the older brother does not depend on growing up in the same home. 22. Evidently, the stress increases the release of endorphins in the hypothalamus, and very high endorphin levels can block the effects of testosterone.

Brain Anatomy Do brains also differ as a function of sexual orientation? The results are complex. On average, homosexual men are shifted partly in the female-typical direction for some brain struc- tures but not others. Similarly, on average, homosexual wom- en’s brains are slightly shifted in the male direction in some ways but not others (Rahman & Wilson, 2003). Several of the reported differences have no clear relationship to sexuality it- self, although they may relate to other behavioral differences between heterosexual and homosexual people.

On average, the left and right hemispheres of the cerebral cortex are of nearly equal size in heterosexual females, whereas the right hemisphere is a few percent larger in heterosexual males. Homosexual males resemble heterosexual females in

08202_ch10_ptg01.indd 344 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.2 Variations in Sexual Behavior 345

who were about equal in this regard. Figure 10.15 shows typi- cal cross sections for a heterosexual man and a homosexual man. Figure 10.16 shows the distribution of volumes for the three groups. Note that the difference between heterosexual men and the other two groups is fairly large, on average, and that the cause of death (AIDS versus other) has no clear rela- tionship to the results. LeVay (1993) later examined the hy- pothalamus of a homosexual man who died of lung cancer; he had a small INAH-3, like the homosexual men who died of AIDS. In Figure 10.16, note also the substantial amount of variation among individuals. If you could examine some man’s INAH-3, you could make a reasonable guess about sexual ori- entation, but you could not be confident.

A later study partly replicated these trends. Researchers found that the INAH-3 nucleus of homosexual men was inter- mediate between those of heterosexual men and heterosexual

this regard, and homosexual females are intermediate be- tween heterosexual females and males. Also, in heterosexual females, the left amygdala has more widespread connections than the right amygdala, whereas in heterosexual males, the right amygdala has more widespread connections. Again, ho- mosexual males resemble heterosexual females in this regard, and homosexual females are intermediate (Savic & Lindström, 2008). The anterior commissure (see Figure 3.13) is, on aver- age, larger in heterosexual women than in heterosexual men. In homosexual men, it is at least as large as in women, perhaps even slightly larger (Gorski & Allen, 1992). The suprachias- matic nucleus (SCN) is also larger in homosexual men than in heterosexual men (Swaab & Hofman, 1990). However, when interpreting these and other reported differences, we should remember two cautions (Kaiser, Haller, Schmitz, & Nitsch, 2009): First, we don’t know whether these brain differences are causes or effects of sexual orientation. Brain differences can predispose to different behaviors, but it is also true that per- sistent behaviors can change brain anatomy. Second, it is rela- tively easy to publish results showing a difference between two groups, such as homosexual and heterosexual people, even if the difference was unpredicted, small, and hard to explain. It is less easy to publish results showing no difference. Thus it is likely that the published papers overstate certain anatomical differences.

The most widely cited research concerns the third inter- stitial nucleus of the anterior hypothalamus (INAH-3), which is generally more than twice as large in heterosexual men as in women. This area has more cells with androgen receptors in men than in women (Shah et al., 2004), and probably plays a role in male sexual behavior, although the exact role is uncer- tain and probably varies among animal species. In other spe- cies it is known as the sexually dimorphic nucleus, although calling it a “nucleus” is a bit of an overstatement. It is a subdi- vision of a subdivision of the preoptic hypothalamus.

Simon LeVay (1991) examined INAH-3 in 41 people who had died between the ages of 26 and 59. Of these, 16 were heterosexual men, 6 were heterosexual women, and 19 were homosexual men. All of the homosexual men, 6 of the 16 het- erosexual men, and 1 of the 6 women had died of AIDS. LeVay found that the mean volume of INAH-3 was larger in hetero- sexual men than in heterosexual women or homosexual men,

Figure 10.15 Typical sizes of interstitial nucleus 3 of the anterior hypothalamus On the average, the volume of this structure was more than twice as large in a sample of heterosexual men (left) than in a sample of homosexual men (right), for whom it was about the same size as in women. (Source: From “A difference in hypothalamic structure between heterosexual and homosexual men,” by S. LeVay, Science, 253, pp. 1034–1037. Copyright 1991. Reprinted with permission from AAAS.)

0.20

0.15

0.10

0.05

0.00

F M HM

Figure 10.16 Volumes of the interstitial nucleus 3 of the anterior hypothalamus (INAH-3) Samples are females (F), heterosexual males (M), and homosexual males (HM). Each filled circle represents a person who died of AIDS, and each triangle represents a person who died from other causes. The one open circle represents a bisexual man who died of AIDS. (Source: Reprinted with permission from “A difference in hypothalamic structure between heterosexual and homosexual men,” by S. LeVay, Science, 253, pp. 1034– 1037. Copyright © 1991 American Association for the Advancement of Science.)

08202_ch10_ptg01.indd 345 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

346 CHAPTER 10 Reproductive Behaviors

The meaning of these results is not clear. Do differences in the hypothalamus influence sexual orientation, or does sex- ual activity influence the size of hypothalamic neurons? Some brain areas do grow or shrink in adults because of hormones or behavioral activities (Cooke, Tabibnia, & Breedlove, 1999). A nonhuman study offers suggestive results. About 8 percent of rams (male sheep) direct their sexual behavior toward other males. One area of the anterior hypothalamus is larger in female-oriented rams than in male-oriented rams and larger in male-oriented rams than in females (Roselli, Larkin, Resko, Stellflug, & Stormshak, 2004). (Whether this area corresponds to human INAH-3 is uncertain.) This area becomes larger in male than female sheep before birth as a result of prenatal tes- tosterone levels (Roselli, Stadelman, Reeve, Bishop, & Storm- shak, 2007). In sheep, at least, an anatomical difference appears before any sexual behavior, and so it is more likely a cause than a result. The same may or may not be true in humans.

women. Also, the volume was smaller in HIV-positive than HIV-negative individuals (Byne et al., 2001). Figure 10.17 displays the means for five groups. On microscopic examina- tion of the INAH-3, researchers found that heterosexual men had larger neurons than homosexual men but about the same number. Neither this study nor LeVay’s earlier study included homosexual females. Still another study found INAH-3 to be larger in heterosexual males than in male-to-female transsex- uals—that is, people born as males who changed their identi- ties to female (Garcia-Falgueras & Swaab, 2008).

Hetero male HIV–

14

0.12

0.1

0.08

0.06

0.04

0.02

0 Hetero male HIV+

Homo male HIV+

Hetero female HIV–

Hetero female HIV+

Figure 10.17 Another comparison of INAH-3 In this study, the mean volume for homosexual men was larger than that of heterosexual women but smaller than that of heterosexual men. (Source: Based on data of Byne et al., 2001)

STOP & CHECK 23. In LeVay’s study, what evidence argues against the idea

that INAH-3 volume depends on AIDS rather than sexual orientation?

ANSWER

23. In his study, the average size of INAH-3 was about the same for heterosexual men who died of AIDS and those who died of other causes. One homosexual man who died of other causes had about the same size INAH-3 as homosexual men who died of AIDS.

We Are Not All the Same

When Alfred Kinsey conducted the first massive surveys of human sexual behavior in the middle of the 20th century, he found that most of the people he interviewed considered their own behavior “normal,” whatever it was. Many believed that sexual activity much more frequent than their own was abnor- mal and might even lead to insanity (Kinsey, Pomeroy, & Martin, 1948; Kinsey, Pomeroy, Martin, & Gebhard, 1953).

How far have we come since then? People today are more aware and generally more accepting of sexual diversity than they were in Kinsey’s time. Still, intolerance remains com- mon. Biological research will not tell us how to treat one another, but it can help us understand how we come to be so different.

Module 10.2 In Closing

Summary 1. In many species, males and females evolve different

appearances and behaviors because of sexual selection. That is, they evolve in ways that make them more appeal- ing to the other sex. 337

2. Many of the mating habits of people can be interpreted in terms of increasing the probability of passing on our genes. However, it is hard to know to what extent the differences between men and women are evolutionary adaptations and to what extent they are learned. 337

3. People can develop ambiguous genitals or genitals that don’t match their chromosomal sex for several reasons. The most common is congenital adrenal hyperplasia, in which a genetic defect in cortisol production leads to overstimulation of the adrenal gland and therefore extra testosterone production. When that condition occurs in a female fetus, she becomes partly masculinized. 339

4. On the average, girls with a history of congenital adrenal hyperplasia show more interest in boy-typical toys than

08202_ch10_ptg01.indd 346 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

10.2 Variations in Sexual Behavior 347

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

androgen insensitivity 340 congenital adrenal

hyperplasia 339

gender identity 339 hermaphrodite 339 intersex 339

sexual selection 337 testicular feminization 340

1. On average, intersexes have IQ scores in the 110 to 125 range, well above the mean for the population (Dalton, 1968; Ehrhardt & Money, 1967; Lewis, Money, & Epstein, 1968). One possible interpretation is that a hormonal pattern intermediate between male and female pro- motes great intellectual development. Another pos- sibility is that intersexuality may be more common in intelligent families than in less intelligent ones or that the more educated families are more likely to bring their

intersexed children to an investigator’s attention. What kind of study would be best for deciding among these hypotheses? (For one answer, see Money & Lewis, 1966.)

2. Recall LeVay’s study of brain anatomy in heterosexual and homosexual men. Certain critics have suggested that one or more of the men classified as “heterosex- ual” might actually have been homosexual or bisexual. If so, would that fact strengthen or weaken the overall conclusions?

Thought Questions

other girls do, and during adolescence and young adulthood, they continue to show partly masculinized interests. 340

5. Testicular feminization, or androgen insensitivity, is a condition in which someone with an XY chromosome pattern is partly or fully insensitive to androgens and therefore develops a female external appearance. 340

6. People born with intermediate or ambiguous genitals are called intersexes. For many years, physicians rec- ommended surgery to make these people look more feminine. However, many intersexes do not develop an unambiguous female identity, and many protest against the imposed surgery. 340

7. Some children have a gene that decreases their early pro- duction of dihydrotestosterone. Such a child looks female at birth and is considered a girl but develops a penis at adolescence. Most of these people then accept a male gender identity. 341

8. On average, homosexual people differ from heterosexual people in several anatomical and physiological regards, although the averages do not apply to every individual. 342

9. Plausible biological explanations for homosexual orientation include genetics, prenatal hormones, and (in males) reactions to the mother’s immune system. Hormone levels in adulthood are within the normal range. 342

10. Several hypotheses have been offered for how genes promoting homosexuality could remain at moderate fre- quencies in the population although homosexual people are less likely than average to have children. 343

11. On the average, certain aspects of brain anatomy differ between homosexual and heterosexual men, although it is not certain whether these differences are causes or effects of the behavior. 344

Module 10.2 End of Module Quiz

1. What is meant by the term “sexual selection”? A. Having an XX or XY chromosome pattern determines

whether one develops as a female or a male. B. Hormones during a sensitive period produce long-

lasting effects on anatomy and behavior.

C. Some people choose to switch from one gender iden- tity to another.

D. Evolution favors characteristics that make an indi- vidual more appealing to the opposite sex.

2. Evolutionary psychologists try to explain which of the following phenomena? A. On average, men are more interested in multiple sex

partners than women are. B. The mechanisms controlling sex differences in the

brain vary among brain areas.

C. Sex drive depends on testosterone in males and estra- diol in females.

D. Dopamine and serotonin have largely opposite effects on sexual arousal.

08202_ch10_ptg01.indd 347 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

348 CHAPTER 10 Reproductive Behaviors

Answers: 1D, 2A, 3D, 4B, 5B, 6B, 7C, 8C, 9C.

3. Congenital adrenal hypertrophy results from a genetic disability to produce normal amounts of which hormone? A. Testosterone B. Estradiol

C. Vasopressin D. Cortisol

4. A girl’s interest in boys’ toys correlates positively with which of the following? A. The size of her hippocampus B. Exposure to testosterone before birth

C. Exposure to cortisol before birth D. Exposure to oxytocin before birth

5. What causes testicular feminization, in which a genetic male looks female? A. High levels of estradiol during an early sensitive

period B. Lack of receptors for testosterone

C. A mutation in the SRY gene D. A genetic disability to produce cortisol

6. When genetic males appeared to be female at birth, but developed a male anatomy at puberty, what happened to their gen- der identity? A. They continued to have a female

identity. B. They switched to a male identity.

C. They alternated frequently between male and female identities.

D. They simultaneously maintained both male and female identities.

7. The conclusion that sexual orientation is partly heritable depends mainly on what evidence? A. Identification of a particular gene strongly linked to

sexual orientation B. Comparisons of sexual orientation in many cultures

C. Comparisons of monozygotic and dizygotic twins D. Comparisons of male homosexuals with female

homosexuals

8. Which of the following would increase the probability that a boy will develop a homosexual orientation? A. Living in a family with one or more older sisters B. Living in a family with an older, adopted brother

C. Having a biological older brother, even if he did not live in the same house

D. Having either an adopted or biological younger brother

9. In what way was INAH-3 distinctive for most of the homosexual men, in comparison to heterosexual men, in LeVay’s study and the follow-up research? A. This nucleus had fewer than average neurons but only

in men who died of AIDS. B. This nucleus had fewer than average neurons regard-

less of the cause of death.

C. This nucleus had neurons with smaller than average volume.

D. This nucleus had fewer neurons, but each of them had a larger than average volume.

Bailey, J. M., Vasey, P. L., Diamond, L. M., Breedlove, S. M., Vilain, E., & Epprecht, M. (2016). Sexual orientation, contro- versy, and science. Psychological Science in the Public Interest, 17, 45–101. An article that thoroughly and objectively reviews research on sexual orientation.

Colapinto, J. (2000). As nature made him: The boy who was raised as a girl. New York: HarperCollins. Describes the boy whose penis was accidentally removed, as presented on page 341.

Suggestions for Further Reading

08202_ch10_ptg01.indd 348 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch10_ptg01.indd 349 9/14/17 10:36 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch11_ptg01.indd 350 9/14/17 10:46 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

351

Unfortunately, one of the most significant things ever said about emotion may be that every- one knows what it is until they are asked to define it.

Joseph LeDoux (1996, p. 23)

Suppose researchers have discovered a new species—let’s call it species X—and psychologists begin testing its abilities. They place food behind a green card and nothing behind a red card and find that after a few trials, X

always goes to the green card. So we conclude that X shows learning, memory,

and hunger. Then researchers offer X a green card and a variety of gray cards;

X still goes to the green, so it must have color vision and not just brightness

discrimination. Next they let X touch a blue triangle that is extremely hot. X

makes a loud sound and backs away. Someone picks up the blue triangle (with

padded gloves) and starts moving with it rapidly toward X. As soon as X sees

this happening, it makes the same sound, turns, and starts moving rapidly

away. Shall we conclude that it feels fear?

If you said yes, now let me add: I said this was a new species, and so it is,

but it’s a new species of robot, not animal. Do you still think X feels fear? Most

people are willing to talk about artificial learning, memory, intelligence, or

motivation, but not emotion.

If such behavior isn’t adequate evidence for emotion in a robot, is it

adequate evidence for an animal? When a dog runs away from a threat, you

probably infer that it is afraid, but what about an insect that escapes as you

approach? Was it afraid? If you disturb a beehive and the bees attack you,

are they angry? How could you be sure, one way or the other? Emotion is a

difficult topic because it implies conscious feelings that we cannot observe.

Biological researchers therefore talk mostly about emotional behaviors, which

are observable, even if the emotional feelings are not. Still, most of us hope

eventually to understand the emotional experiences themselves.

Module 11.1

What Is Emotion? Emotions and Autonomic Arousal Do People Have a Few Basic Emotions? The Functions of Emotion In Closing: Emotions and the Nervous System

Module 11.2

Attack and Escape Behaviors Attack Behaviors Fear and Anxiety Anxiety Disorders Relief from Anxiety In Closing: Doing Something about Emotions

Module 11.3

Stress and Health Stress and the General Adaptation Syndrome Stress and the Hypothalamus-Pituitary-

Adrenal Cortex Axis Coping with Stress In Closing: Emotions and Body Reactions

Chapter 11Emotional Behaviors

Chapter Outline

After studying this chapter, you should be able to:

1. Discuss the role of the autonomic nervous system in emotional feelings.

2. Explain reasons to be skeptical of the idea of a few basic emotions.

3. Discuss the role of emotions in moral reasoning.

4. Describe what is known about the genetics of aggression and anxiety.

5. Discuss the role of the amygdala in emo- tional processing.

6. Comment on methods of relief from anxiety.

7. Define the general adaptation syndrome. 8. Describe the effects of stress on the

immune system.

Learning Objectives

Opposite:

People express emotion by facial expressions, gestures, and postures. (g-stockstudio/Shutterstock.com)

08202_ch11_ptg01.indd 351 9/14/17 10:46 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

352

Module 11.1

What Is Emotion?

By one definition, emotion includes “cognitive evaluations, subjective changes, autonomic and neural arousal, and impulses to action” (Plutchik, 1982, p. 551). That sounds okay, but by that definition, don’t hunger and thirst count as emo- tions? One definition of motivation is “an internal process that modifies the way an organism responds to a certain class of external stimuli” (Numan & Woodside, 2010). By that defini- tion, don’t happiness, sadness, fear, and anger count as moti- vations? Distinguishing between motivation and emotion is difficult, and maybe there is no real difference.

Regardless of how we define emotion, psychologists generally agree that emotion has components including cognitions (“This is a dangerous situation”), feelings (“I feel

frightened”), actions (“Run away now”), and physiological changes (increased heart rate and breathing rate). How do the components relate to one another?

Emotions and Autonomic Arousal Emotional situations arouse the two branches of the auto- nomic nervous system—the sympathetic and the parasympa- thetic. Figure 11.1 reviews the anatomy. Researchers had long recognized that the sympathetic nervous system stimulates certain organs, such as the heart, while inhibiting others, such as the stomach and intestines. Walter Cannon (1945) was the first to recognize the pattern: It stimulates organs important

Figure 11.1 The sympathetic and parasympathetic nervous systems Review Chapter 3 for more information.

Vagus nerve

Sympathetic outflow Parasympathetic outflow

Cranial nerves (12 pairs)

Postganglionic axons

Cervical nerves (8 pairs)

Thoracic nerves (12 pairs)

Lumbar nerves (5 pairs)

Sacral nerves (5 pairs)

Celiac ganglion

Pelvic nerve

(Most ganglia near spinal cord)

Preganglionic axons

08202_ch11_ptg01.indd 352 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.1 What Is Emotion? 353

for vigorous “fight-or-flight” activities while inhibiting vegeta- tive activities that can wait until later. The parasympathetic nervous system increases digestion and other processes that save energy and prepare for later events.

Nevertheless, most situations evoke a combination of sympathetic and parasympathetic arousal (Wolf, 1995). For example, nausea is associated with sympathetic stimulation of the stomach (decreasing its contractions and secretions) and parasympathetic stimulation of the intestines and sali- vary glands. We think of danger as something that would elicit sympathetic activity, but often it does not. If a small animal sees a potential predator at a great distance, it becomes alert, but inactive. (The predator is less likely to notice an immo- bile animal.) The little animal’s heart rate decreases, by para- sympathetic input. Only when the threat approaches within attacking distance does the sympathetic nervous system take over. Similarly, humans become alert and inactive with de- creased heart rate when they are aware of a danger remote in either location or time (Löw, Weymar, & Hamm, 2015).

If we think of “feeling” in its narrow sense of being a sensa- tion, the theory seems almost self-evident. Where else would sensations come from, except from something going on in the body? Still, the James-Lange theory leads to two predictions: People with weak autonomic or skeletal responses should feel less emotion, and causing or increasing someone’s responses should enhance an emotion. Let’s consider the evidence.

Is Physiological Arousal Necessary for Emotional Feelings? People with damage to the spinal cord have no sensations or voluntary movements from the level of the damage down- ward. (Reflexes remain.) Nevertheless, they generally report experiencing emotions about the same as before their injury (Cobos, Sánchez, Pérez, & Vila, 2004; Deady, North, Allan, Smith, & O’Carroll, 2010). That result might suggest that emotions don’t depend on feedback from movement, but these people continue to have facial expressions and changes in heart rate, which they can detect. So although they are cut off from some of the sensation usually associated with an emotion, they continue to feel important aspects.

In people with an uncommon condition called pure autonomic failure, output from the autonomic nervous sys- tem to the body fails, either completely or almost completely. Heart beat and other organ activities continue, but the ner- vous system no longer regulates them. Someone with this condition does not react to stressful experiences with changes in heart rate, blood pressure, or sweating. According to the James-Lange theory, we would expect such people to report no emotions. In fact, they report having the same emotions as anyone else, and they have little difficulty identifying what emotion a character in a story would probably experience

Walter B. Cannon (1871–1945) As a matter of routine I have long trusted unconscious processes to serve me. . . . [One] example I may cite was the inter- pretation of the significance of bodily changes which occur in great emotional excitement, such as fear and rage. These changes—the more rapid pulse, the deeper breathing, the increase of sugar in

the blood, the secretion from the adrenal glands—were very diverse and seemed unrelated. Then, one wakeful night, after a considerable collection of these changes had been disclosed, the idea flashed through my mind that they could be nicely integrated if conceived as bodily preparations for supreme effort in flight or in fighting.

N at

io na

l L ib

ra ry

o f M

ed ic

in e

How does the autonomic nervous system relate to emo- tions? Common sense holds that you feel an emotion that changes your heart rate and prompts other responses. In con- trast, according to the James-Lange theory (James, 1884), the autonomic arousal and skeletal actions come first. What you experience as an emotion is the label you give to your responses: You feel afraid because you run away, and you feel angry because you attack.

Commonsense View:

Frightening situation

James-Lange Theory:

Frightening situation

Running away, increased heart rate, etc.

Running away, increased heart rate, etc.

FEAR

FEAR

James-Lange Theory:

Event

Appraisal (the cognitive aspect)

Action (the behavioral aspect including physiology)

Emotional feeling (the feeling aspect)

You might object, “How would I know to run away before I was scared?” In a later paper, William James (1894) clarified his position. An emotion includes cognitions, actions, and feelings. The cognitive aspect comes first. You quickly ap- praise something as good, bad, frightening, or whatever. Your appraisal of the situation leads to an appropriate action, such as running away, attacking, or sitting motionless with your heart racing. When James said that arousal and actions lead to emotions, he meant they lead to the feeling aspect of an emotion. That is,

08202_ch11_ptg01.indd 353 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

354 CHAPTER 11 Emotional Behaviors

one emotion from another, and that it is too slow to account for how fast we identify an event as happy, sad, or frightening. He and others have proposed additional theories, and no con- sensus has emerged (Moors, 2009). So here we are, well over a hundred years after William James proposed one of the first theories in psychology, and we still haven’t decided whether it is correct. Shouldn’t psychologists be embarrassed?

The problem may be that different theorists are talk- ing about different questions, even when they use the same words. When James’s defenders talk about “emotional feel- ings,” they mean literally feelings—that is, sensations—and sensations come only from sense organs, such as those that detect body actions. Other theorists are talking about the complete emotional experience. Moreover, the debate about theories of emotion may be ultimately fruitless. Except for inspiring some interesting research studies of the types just described, theories of emotion don’t have much application. In fact, several influential modern theorists question whether our whole concept of emotion is misguided.

Is Emotion a Useful Concept? To talk about “an” emotion, such as anger or fear, implies that it is a coherent whole. Nearly all definitions of emotion say that it includes several aspects, such as cognition, feeling, and action. However, those aspects do not always stick together. Sometimes you suddenly feel nervous (a feeling), but you don’t know why (no cognition), and you do nothing about it (no action). Is your nervous feeling an emotion? You could also have the cognition “this is flu season,” and take action (a vaccination), without feel- ing any sensation of nervousness or fear. Does that combination constitute emotion, part of an emotion, or no emotion? In short, the various aspects of emotion do not always stick together.

Furthermore, although emotional feelings correlate strongly with arousal of the autonomic nervous system, no particular emotion is consistently associated with a distinc- tive pattern of autonomic activity (Lang, 2014). For example, heart rate and breathing rate increase with the intensity of an emotion, but they do not distinguish fear from anger. Mild activation of the parasympathetic nervous system facilitates compassion toward others (Kogan et al., 2014; Stellar, Cohen, Oveis, & Keltner, 2015), but it occurs in other situations as well. You could not confidently identify someone’s emotion by measuring heart rate, breathing rate, or any other autonomic response.

Traditionally, the limbic system—the forebrain areas sur- rounding the thalamus—has been regarded as critical for emo- tion (see Figure 11.2). We consider one part of it, the amygdala, in more detail later in this chapter. Much of the cerebral cortex also reacts to emotional situations. Researchers have used PET or fMRI techniques to identify the brain areas that respond while people look at emotional pictures or listen to emotional stories. In Figure 11.3, each dot represents a research study that found significant activation of a particular cortical area as- sociated with happiness, sadness, disgust, fear, or anger (Phan, Wager, Taylor, & Liberzon, 2002). The most salient point of this figure is the variability of locations for each emotion. The

(Heims, Critchley, Dolan, Mathias, & Cipolotti, 2004). How- ever, they say they feel their emotions much less intensely than before (Critchley, Mathias, & Dolan, 2001). Presumably, when they report that they experience emotions, they refer to the cognitive aspect: “Yes, I’m angry, because this is a situa- tion that calls for anger.” But if they feel the anger, they feel it weakly. Their decreased emotional feeling is consistent with predictions from the James-Lange theory.

Here is another example: Botulinum toxin (“BOTOX”) blocks transmission at synapses and nerve–muscle junctions. Physicians sometimes use it to paralyze the muscles for frown- ing and thereby remove frown lines on people’s faces. One study found that people with BOTOX injections that tempo- rarily paralyzed all the facial muscles reported weaker than usual emotional responses when they watched short videos (Davis, Senghas, Brandt, & Ochsner, 2010). The implication is that feeling a body change is important for feeling an emotion.

However, people with damage to the right somatosensory cortex have normal autonomic responses to emotional music but report little subjective experience. People with damage to part of the prefrontal cortex have weak autonomic responses but normal subjective responses (Johnsen, Tranel, Lutgendorf, & Adolphs, 2009). These results suggest that autonomic responses and sub- jective experience are not always connected to each other.

Is Physiological Arousal Sufficient for Emotions? According to the James-Lange theory, emotional feelings re- sult from the body’s actions. If your heart started racing and you started sweating and breathing rapidly, would you feel an emotion? Not necessarily. You might have those reactions from vigorous exercise, or they might accompany an illness with fever. However, if you had sudden intense arousal of the sympathetic nervous system without knowing the reason, you might experience it as an emotion. Such is the case with a panic attack, when people gasp for breath, worry that they are suffocating, and experience great anxiety (Klein, 1993).

Although physiological responses are seldom sufficient to produce emotional feelings, they increase the feelings. In- creases in heart rate intensify ratings of both pleasant and un- pleasant emotions, especially in people who are most sensitive to their internal state (Dunn et al., 2010). For example, if you watched a horror movie in a cold room, where the tempera- ture caused you to shiver, you might rate the movie as scarier than you would have in a warmer room (Sugamura & Higuchi, 2015). It is easier to feel angry while standing (and therefore in a position to attack) than while lying in a more helpless posi- tion (Harmon-Jones & Peterson, 2009). Because perceptions of your body’s actions contribute to your emotional feelings, many psychologists describe emotions as “embodied”—that is, they depend on responses of the body.

Nevertheless, many psychologists from the start have been dissatisfied with the James-Lange theory. Walter Cannon (1927) objected that feedback from the viscera is neither nec- essary nor sufficient for emotion, that it does not distinguish

08202_ch11_ptg01.indd 354 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.1 What Is Emotion? 355

The lack of any consistent link between emotional feelings and physiological responses suggests that emotion may not be a coherent category. Lisa Feldman Barrett (2012) has argued that emotions are a real category only in the same sense that weeds are a real category. Nothing in nature makes weeds different from flowers. They differ only because people favor certain plants (“flowers”) and disfavor other plants (“weeds”). Similarly, emo- tion is a socially constructed category that serves our purposes.

results apparently depend more on the details of procedure than on which emotion was targeted. Researchers have identi- fied neurons in the amygdala that appear to be specific for per- ceiving a particular emotion in someone’s expression (S. Wang et al., 2014), but with the possible exception of happiness, no brain area appears to be specific for experiencing any particu- lar emotion (Heller et al., 2013; Lindquist, Wager, Kober, Bliss- Moreau, & Barrett, 2012; Mueller et al., 2015).

Cingulate gyrus

Anterior thalamic nuclei

Septal nuclei

Frontal lobe

Olfactory bulb

Amygdala

Parahippocampal gyrus (limbic lobe)

Hippocampus

Mamillary bodies

Fornix

Figure 11.2 The limbic system The limbic system is a group of structures in the interior of the brain. Here you see them as if the exterior of the brain were transparent. (Source: Based on MacLean, 1949)

Happiness

Sadness

Disgust

Fear

Anger Figure 11.3 Brain areas associated with particular emotions Each dot represents a study that found increased activity in a given brain area associated with the emotion desig- nated by the color of the dot. (Source: Reprinted from “Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI,” by K. L. Phan, T. Wagner, S. F. Taylor, & I. Liberzon, NeuroImage, 16, 331–348. Copyright 2002, with permission from Elsevier.)

08202_ch11_ptg01.indd 355 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

356 CHAPTER 11 Emotional Behaviors

If we found that each emotion was identified with its own brain area, we would regard that as strong evidence for basic emotions, but as already mentioned, research has found no evidence for that idea. The main support for the idea of basic emotions is the existence of facial expressions for happiness, sadness, fear, anger, disgust, surprise, and perhaps other emo- tions. If shown a set of faces, such as those in Figure 11.4, and a list of emotion terms, most people in cultures throughout the world pair them up with greater-than-chance accuracy.

However, many psychologists find this evidence uncon- vincing. The faces used in most research, including those in Figure 11.4, were posed to try to maximize recognition. For spontaneous expressions, observers often see two or more emotions in a single face, and observers’ guesses do not al- ways match the self-report by the person in the photograph (Kayyal & Russell, 2013). The procedure of asking people to match the six faces to six labels makes accuracy seem higher than it would be otherwise. For example, if you already labeled the face at the lower right as “fear,” and you know one of them has to be “surprise,” you give that label to the face at the lower left. If you saw that face alone, you might have called it “fear.” If you saw the expression in the lower center by itself, you might have called it anger instead of disgust (Pochedly, Widen, & Russell, 2012).

Another problem: People recognize expressions from their own culture better than those from other cultures (Gendron, Roberson, van der Vyver, & Barrett, 2014). Young people in two cultures largely isolated from Western influ- ences were able to recognize the expression for happiness at better than 50 percent accuracy, but they had low accuracy on

Do People Have a Few Basic Emotions? In the late 1800s and early 1900s, many psychological re- searchers hoped to identify the elements of the mind, analo- gous to the elements of chemistry. They wondered whether the elements were thoughts, ideas, images, or something else. Before long, that quest seemed futile. Later, certain psycholo- gists hoped to find the elements of motivation, offering lists of the basic motivations. That pursuit led to fascinating ques- tions such as whether breathing counts as just one motiva- tion or two (inhaling and exhaling). Today, emotion is the only area in which many researchers still hope to identify elements of experience, to list a few “basic” emotions.

STOP & CHECK 1. What is the relevance of pure autonomic failure to the study

of emotions? 2. In what physiological way, if any, does one type of emotion

differ from another?

ANSWERS

1. People with pure autonomic failure do not react to events with changes in heart rate or other autonomic functions. They report still having emotional experiences but they do not feel them as strongly. 2. No type of emotion has a unique pattern of physiological activity, either in the autonomic nervous system or in the brain.

Figure 11.4 Facial expressions of emotion Can you identify which face corresponds to happiness, sadness, fear, anger, disgust, and surprise? Check answer A on page 360. (Source: Reprinted from Unmasking the face (2nd ed.), by P. Ekman & W. V. Friesen, 1984. Palo Alto, CA: Consulting Psychologists Press.)

08202_ch11_ptg01.indd 356 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.1 What Is Emotion? 357

Activity of the left hemisphere, especially its frontal and temporal lobes, relates to what Jeffrey Gray (1970) called the behavioral activation system (BAS), marked by low to mod- erate autonomic arousal and a tendency to approach, which could characterize happiness or anger. Increased activity of the frontal and temporal lobes of the right hemisphere is as- sociated with the behavioral inhibition system (BIS), which increases attention and arousal, inhibits action, and stimulates emotions such as fear and disgust (Davidson & Fox, 1982; Davidson & Henriques, 2000; Murphy, Nimmo-Smith, & Lawrence, 2003; Reuter-Lorenz & Davidson, 1981).

People in one experiment viewed pictures flashed on one side or the other of the visual field, to prime one hemisphere or the other to process the information. People were quicker and more accurate at identifying happy faces when the infor- mation went to the left hemisphere. They had an advantage in processing sad or frightened information when the informa- tion went to the right hemisphere (Najt, Bayer, & Hausmann, 2013). Such results support an association between left hemi- sphere and approach, and between the right hemisphere and inhibition of action.

The difference between the hemispheres relates to per- sonality: On the average, people with greater activity in the frontal cortex of the left hemisphere tend to be happier, more outgoing, and more fun-loving. People with greater right- hemisphere activity tend to be socially withdrawn, less satisfied with life, and prone to unpleasant emotions (Knyazev, Slobods- kaya, & Wilson, 2002; Schmidt, 1999; Shackman, McMenamin, Maxwell, Greischar, & Davidson, 2009; Urry et al., 2004).

other expressions, especially the expression intended to show anger (Crivelli, Jarillo, Russell, & Fernández-Dols, 2016).

Furthermore, we rarely identify someone’s emotion from facial expression alone. Participants in one study viewed pho- tos of pro tennis players who had just won or lost a point in a difficult, high-stakes match (see Figure 11.5). From photos of body posture, the observers could usually guess whether the player was happy (having won the last point) or sad (hav- ing just lost it). But from facial expression alone, the observ- ers could do no better than chance guessing (Aviezer, Trope, & Todorov, 2012). Another study also found that for both children and adults, the expressions of intense pleasure look similar to those for intense pain (Wenzler, Levine, van Dick, Oertel-Knöckel, & Aviezer, 2016).

An alternative to the idea of basic emotions is that emotional feelings vary along two or more continuous di- mensions, such as weak versus strong, or pleasant versus unpleasant. Physiological evidence fits this idea (Wilson- Mendenhall, Barrett, & Barsalou, 2013). For example, activation versus inhibition is an important dimension.

Figure 11.5 Emotional expressions in posture and face Can you identify whether the player had just won or lost? Check answer B on page 360.

STOP & CHECK 3. What evidence challenges the idea that we identify people’s

emotions by their facial expressions?

ANSWER

3. Given a photo of a spontaneous facial expression, people usually see more than one emotion and often don’t see the emotion described by the person whose face was shown. People recognize expressions from their own culture better than those from other cultures. Also, in everyday life we identify someone’s emotion by a combination of cues, including posture, context, gestures, and tone of voice.

The Functions of Emotion If we evolved the capacity to experience and express emo- tions, emotions must have been adaptive for our ancestors, and probably for us as well. What good do emotions do?

For certain emotions, the answer is clear. Fear alerts us to escape from danger. Anger directs us to attack an intruder. Disgust tells us to avoid something that might cause illness. The adaptive value of happiness, sadness, embarrassment, and other emotions is less obvious, although researchers have

PC N

B la

ck /P

CN P

ho to

gr ap

hy /A

la m

y St

oc k

Ph ot

o

08202_ch11_ptg01.indd 357 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

358 CHAPTER 11 Emotional Behaviors

prevent their death is to push a heavy-set stranger off the footbridge and onto the track so that he will block the trolley. Would it be right to push him?

The Lifeboat Dilemma. You and six other people are on a lifeboat in icy waters, but it is overcrowded and starting to sink. If you push one of the people off the boat, the boat will stop sinking and the rest of you will survive. Would it be right to push someone off?

The Hospital Dilemma. You are a surgeon, and five of your patients will die soon unless they get organ transplants. Each needs the transplant of a different organ, and you haven’t been able to find organ donors for any of them. A nurse bursts into your office: “Good news! A visitor to the hospital has just arrived, who has exactly the same tissue type as all five of your patients! We can kill this visitor and use the organs to save the five others!” Would it be right to do so?

In each of these dilemmas, you can save five people (in- cluding yourself in the lifeboat case) by killing one person.

suggested plausible possibilities. Emotional expressions help us communicate our needs to others and understand other people’s needs and probable actions. Also, emotions provide a useful guide when we need to make a quick decision.

Emotions and Moral Decisions When we make important decisions, we pay much attention to how we think an outcome will make us feel. Consider the following moral dilemmas, of which Figure 11.6 illustrates three:

The Trolley Dilemma. A runaway trolley is headed toward five people on a track. The only way you can prevent their death is to switch the trolley onto another track, where it will kill one person. Would it be right to pull the switch?

The Footbridge Dilemma. You are standing on a footbridge overlooking a trolley track. A runaway trolley is headed toward five people on a track. The only way you can

(a)

(b)

(c)

Figure 11.6 Three moral dilemmas (a) Would you divert a runaway train so it kills one person instead of five? (b) Would you push someone off a footbridge so a runaway train kills him instead of five others? (c) Would you push someone off a sinking lifeboat to save yourself and four others?

08202_ch11_ptg01.indd 358 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.1 What Is Emotion? 359

the option of giving some of it to a Trustee. If so, the amount given triples in value, and the Trustee can return any amount of it, such as half, to the first person. People with ventro- medial prefrontal damage give less to the Trustee, showing decreased trust. If they are in the position of Trustee, they keep all or nearly all of the money instead of returning part of it (Krajbich, Adolphs, Tranel, Denburg, & Camerer, 2009). In short, they show very little concern for others.

The most famous case of prefrontal damage is that of Phineas Gage. In 1848, an explosion sent an iron rod through Gage’s prefrontal cortex. Amazingly, he survived. During the next few months, he showed impulsive behavior and poor de- cision making, two common symptoms of prefrontal damage. However, the reports about his behavior provide little detail. Over the years, with multiple retellings, people exaggerated the meager facts available (Kotowicz, 2007).

We know more about a modern case. Antonio Dama- sio (1994) examined a man with prefrontal cortex damage who expressed almost no anger, sadness, or pleasure. Con- trary to the idea that unemotional means logical, he made bad decisions that cost him his job, his marriage, and his savings. When tested in the laboratory, he successfully pre- dicted the probable outcomes of various decisions. For ex- ample, when asked what would happen if he cashed a check and the bank teller handed him too much money, he knew the probable consequences of returning it or walking away with it. But he admitted, “I still wouldn’t know what to do” (Damasio, 1994, p. 49). He knew that one action would win him approval and another would get him in trouble, but he apparently did not anticipate that approval would feel good and trouble would feel bad. Any choice requires consider- ation of values and emotions—how we think one outcome or another will make us feel. In Damasio’s words, “Inevi- tably, emotions are inseparable from the idea of good and evil” (Damasio, 1999, p. 55).

Of course, it is also true that emotions sometimes inter- fere with good decisions. If you were driving and suddenly started skidding on a patch of ice, what would you do? A pa- tient with damage to his prefrontal cortex who faced this situ- ation calmly followed the advice he had always heard: Take your foot off the accelerator and steer in the direction of the skid (Shiv, Loewenstein, Bechara, Damasio, & Damasio, 2005). Most people in this situation panic, hit the brakes, and steer away from the skid, making a bad situation worse.

However, although that may be true logically, the decisions do not feel the same. Most people say (hesitantly) that it is right to pull the switch in the trolley dilemma, fewer say yes in the footbridge and lifeboat dilemmas, and almost no one endorses killing one person to save five others in the hospital dilemma. Brain scans show that contemplating the footbridge or lifeboat dilemma activates brain areas known to respond to emotions, including parts of the prefrontal cortex and cingulate gyrus (Greene, Sommerville, Nystrom, Darley, & Cohen, 2001). When you contemplate these situations, you react emotionally because you identify with the person whose suffering and death you might cause by your action, and that feeling is especially intense if you imagine putting your hands on someone rather than just flipping a switch. People with the strongest autonomic arousal are the least likely to make the “logical” decision to kill one and save five others (Cushman, Gray, Gaffey, & Mendes, 2012; Navarrete, McDonald, Mott, & Asher, 2012).

When you make a moral decision, you compare the utilitarian aspect (for example, five people die versus one person dies) and the emotional aspect (how you would feel about what you did). According to fMRI studies, cer- tain brain areas become active when people contemplate just the utilitarian aspect, other areas become active when they contemplate just the emotional aspect, and the ventro- medial part of the prefrontal cortex becomes active when they compare the utilitarian and emotional aspects to make a decision (Hutcherson, Montaser-Kouhsari, Woodward, & Rangel, 2015; Shenhav & Greene, 2014). What would happen after damage to the ventromedial prefrontal cor- tex? In many situations, people with such damage pay little attention to events that elicit strong emotions in most of us (Sánchez-Navarro et al., 2014). When confronted with the moral dilemmas we just discussed, they are more likely than average to choose the utilitarian option of killing one to save five (Ciaramelli, Muccioli, Làdavas, & di Pellegrino, 2007; Koenigs et al., 2007). Would you flip the switch to kill one and save five if the one to be killed was a close relative, such as your mother or daughter? Almost everyone shudders and says of course not, but some people with damage to the ven- tromedial prefrontal cortex calmly say it would be okay to do so (Thomas, Croft, & Tranel, 2011). If you thought you could kill someone you hated and get away with it, would you do it? Some people with ventromedial prefrontal cortex damage say yes, especially if their damage occurred early in life (Taber-Thomas et al., 2014). So evidently they not only do not imagine feeling sad after the death of a loved one, but also do not imagine feeling guilty after committing murder. For further evidence of that tendency, consider two eco- nomic games: In the one-shot Dictator game, you are the Dictator, and you are given some money to divide between yourself and someone else, whatever way you choose. Most people split it evenly or almost evenly. People with ventro- medial prefrontal damage keep about 90 percent, on aver- age. In the Trust game, one person gets some money and has

STOP & CHECK 4. After damage to the ventromedial prefrontal cortex, what

happens to people’s moral reasoning and concern for others?

ANSWER

4. Such people become more likely to endorse the utilitar- ian option, even in situations where most people would find it emotionally unacceptable. They show decreased concern for others.

08202_ch11_ptg01.indd 359 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

360 CHAPTER 11 Emotional Behaviors

Emotions and the Nervous System

Although we regard emotions as nebulous internal states, they are fundamentally biological. As William James observed in the early days of psychology, emotions are “embodied.” An emo- tional feeling relates to the actions and sensations of the body.

Biological research sheds light on many of the central questions about the psychology of emotions. For example, one issue is whether people have a few basic emotions or

continuous dimensions along which emotions vary. Biological research so far seems more consistent with the idea of dimen- sions. Studies of people with brain damage also shed light on the functions of emotion, particularly with relation to moral behavior and decision making. Far from being an impediment to intelligent behavior, emotional reactions are often a useful quick guide to appropriate actions.

Module 11.1 In Closing

Summary 1. Most attempts to define emotion include several aspects

including cognition, feelings, and action. 352 2. The sympathetic nervous system readies the body for

emergency fight-or-flight activities. 352 3. According to the James-Lange theory, the feeling aspect

of an emotion results from feedback from actions of the muscles and organs. 353

4. People with impaired autonomic responses continue to report emotional experiences, although the feeling aspect is weaker than before. 353

5. Bodily sensations can strengthen emotional feelings. 354 6. The various components of an emotion do not always

occur together. Also, apparently no emotion corresponds to activity in a single brain area. For these and other rea- sons, many psychologists are uncertain that emotion is a natural category. 354

7. People recognize others’ emotions partly on the basis of facial expressions, but the recognition depends partly on culture and experience. The research on facial expressions does not conclusively demonstrate a small number of basic emotions. An alternative view is that emotions vary along two or more dimensions. 356

8. Activation of the frontal and temporal areas of the left hemisphere is associated with approach and the behav- ioral activation system. The corresponding areas of the right hemisphere are associated with withdrawal, decreased activity, and the behavioral inhibition system. 357

9. Damage to the ventromedial prefrontal cortex in many cases impairs the ability to anticipate emotional conse- quences, alters responses to moral dilemmas, and impairs decision making. 359

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

behavioral activation system (BAS) 357

behavioral inhibition system (BIS) 357

James-Lange theory 353

limbic system 354 panic attack 354 pure autonomic failure 353

According to the James-Lange theory, we should expect people with pure autonomic failure to experience weaker than average emotions. What kind of people might experience stronger than average emotions?

Thought Question

Question A, page 356: From left to right: happiness, anger, sadness, surprise, disgust, fear.

Question B, page 357: Roger Federer had just won the match. Could you have guessed that from the facial expression alone?

Answers to Questions in the Text

08202_ch11_ptg01.indd 360 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.1 What Is Emotion? 361

Module 11.1 End of Module Quiz

1. The parasympathetic nervous system is most active during which of the following? A. Fight-or-flight activities B. Digesting food

C. Intense emotions D. Conversations

2. According to the James-Lange theory, feedback from the body’s actions is responsible for which aspect of emotion? A. Appraisal B. Feeling

C. Coping D. Compassion

3. When researchers looked for brain areas associated with particular emotions, what did they find? A. Each emotion is centered in a different brain area. B. Anger is easy to localize in one brain area, but other

emotions are not.

C. Happiness depends on one brain area, but other emo- tions do not.

D. No brain area is responsible for one and only one emotion.

4. Several lines of evidence argue against the idea that facial expressions demonstrate the existence of six basic emotions. Which of the following is NOT one of those lines of evidence? A. Asking people to match six faces to six labels inter-

feres with accuracy. B. People’s guesses about someone’s emotion do not

always match what the person reported.

C. Depending on someone’s posture, a given facial expression can have several meanings.

D. People can recognize expressions from their own culture better than those of others.

5. Which brain area is associated with the behavioral activation system and a tendency to approach? A. The right hemisphere B. The left hemisphere

C. The amygdala D. The hippocampus

6. Damage to the ventromedial prefrontal cortex increases which tendency in making decisions? A. Greater conformity to the majority opinion B. Longer delays in making decisions

C. More choices based on emotional feelings D. More utilitarian choices

Answers: 1B, 2B, 3D, 4A, 5B, 6D.

08202_ch11_ptg01.indd 361 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

362

Module 11.2

Attack and Escape Behaviors

Have you ever watched a cat play with a rat or mouse before killing it? It might kick, bat, toss, pick up, shake, and carry the rodent. Is the cat sadistically tormenting its prey? No. A cat usually goes for a quick kill if the rodent is small and inactive or if the cat has been given drugs that lower its anxiety. The same cat withdraws altogether if con- fronted with a large, menacing rodent. In intermediate situ- ations, the cat bats, tosses, and otherwise interacts with a mixture of attack and escape behaviors that might look to us like play (Adamec, Stark-Adamec, & Livingston, 1980; Biben, 1979; Pellis et al., 1988).

Most of the vigorous emotional behaviors we observe in animals fall into the categories of attack and escape, and it is no coincidence that we describe the sympathetic nervous sys- tem as the fight-or-flight system. Anger and fear are closely related both behaviorally and physiologically.

Attack Behaviors Attack behavior depends on the individual as well as the situ- ation. If a hamster intrudes into another hamster’s territory, the home hamster sniffs the intruder and eventually attacks, but usually not at once. Suppose the intruder leaves, and a little later, another hamster intrudes. The home hamster at- tacks faster and more vigorously than before. The first attack enhances home hamster’s readiness to attack against any in- truder for the next 30 minutes or more (Potegal, 1994). It is as if the first attack gets the hamster in the mood to fight. During that period, activity builds up in the corticomedial area of the amygdala (see Figure 11.7), and as it does so, it increases the hamster’s probability of attacking (Potegal, Ferris, Hebert, Meyerhoff, & Skaredoff, 1996; Potegal, Hebert, DeCoster, & Meyerhoff, 1996). Something similar happens in people: If you hold a toddler’s arm to prevent him or her from playing with a toy, the result is sometimes screaming and other signs of anger. If you do it again 30 seconds later, the anger is more rapid and more intense (Potegal, Robison, Anderson, Jordan, & Shapiro, 2007). (Don’t try it yourself. It’s unkind.)

Thalamus

Caudate nuclei

Putamen (lateral)

Amygdala

Globus pallidus (medial)

Hippocampus

Corticomedial nucleus

Lateral nucleus

Basal nucleus

(a)

(b)

Central nucleus

Corpus callosum

Anterior commissure

Optic chiasm

Amygdala

Caudate nucleus

Putamen

Globus pallidus

Figure 11.7 Location of amygdala in the human brain The amygdala, located in the interior of the temporal lobe, receives input from many cortical and subcortical areas. Part (a) shows several nuclei of the amygdala. (Source: [a] Based on Hanaway, Woolsey, Gado, & Roberts, 1998; Nieuwenhuys, Voogd, & vanHuijzen, 1988; [b] Photo courtesy of Dr. Dana Copeland.)

08202_ch11_ptg01.indd 362 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 363

Hormonal Effects Most fighting in the animal kingdom is by males competing for mates, and their aggressive behavior depends heavily on testosterone. Similarly, throughout the world, men fight more often than women, commit more violent crimes, shout more insults at one another, and so forth. Moreover, young adult men, who have the highest testosterone levels, have the high- est rate of aggressive behaviors and violent crimes. Women’s violent acts are in most cases less severe (Archer, 2000).

If we compare people of the same age, those with higher testosterone levels tend on average to be more aggressive. Re- searchers have documented that tendency for both men and women (Peterson & Harmon-Jones, 2012). However, the ef- fects of testosterone are smaller than most people expect (Archer, Birring, & Wu, 1998; Archer, Graham-Kevan, & Davies, 2005). Figure 11.9 shows one set of results. High tes- tosterone levels were more common among men convicted of violent crimes than for those convicted of less violent crimes, but the differences are small. One explanation is that aggres- sive behavior depends on a sudden burst of testosterone in

Heredity and Environment in Violence As with almost anything else in psychology, individual differ- ences in aggressive, violent, or antisocial behavior depend on both heredity and environment. Many environmental factors are easy to identify. People who were abused in childhood, people who witnessed violent abuse between their parents, and people who live in a violent neighborhood are more likely than average to express violent behavior. Another factor is exposure to lead, which is harmful to developing brains. Since the ban- ning of lead-based paints and the rise of unleaded gasoline, the prevalence of violent crime has declined, possibly as a result of the decreased lead in the environment (Nevin, 2007).

What about heredity? Twin studies generally indicate a significant amount of heritability for aggressive behavior, but the results vary for many reasons, including how the research- ers measure aggression (Veroude et al., 2016). Some studies have measured real-world criminal violence, some have mea- sured relatively trivial “aggressive” behavior in a laboratory setting, and some have relied on answers to questionnaires. Many studies have failed to distinguish between offensive and defensive violence. Furthermore, heritability for antiso- cial behavior is fairly high in middle-class neighborhoods, but much lower in the most impoverished neighborhoods (Burt, Klump, Gorman-Smith, & Neiderhiser, 2016). The interpre- tation is that extremely bad environment can elicit antisocial behavior in almost anyone. The same behavior is less common in wealthier environments and more likely to have a genetic predisposition.

Researchers have repeatedly sought to identify individual genes linked to aggressive behavior, without notable success. Then they explored the possibility of interactions between heredity and environment. Particularly interesting is the gene controlling the enzyme monoamine oxidase A (MAOA). After a neuron releases serotonin, dopamine, or norepinephrine, most of it returns to the neuron via reuptake. At that point the enzyme MAOA breaks down some of it, preventing possible accumulation of an excessive amount. People vary in their genes for MAOA, and the low-activity form shows a possible link to aggression. However, the effect of the gene depends on prior experience. A pioneering study reported that the low- activity form of the gene increased violent behavior only in people who had a seriously troubled childhood environment, such as being physically abused or watching parents fight (Caspi et al., 2002). This result is fascinating because of its ap- parent demonstration of an interaction between genetics and environment. Figure 11.8 illustrates this result.

Since then, most but not all studies have replicated this finding (e.g., Carver, Johnson, Joormann, Kim, & Nam, 2011; Fergusson, Boden, Horwood, Miller, & Kennedy, 2012; Gal- lardo-Pujol, Andrés-Pueyo, & Maydeu-Olivares, 2013; Mc- Dermott, Dawes, Prom-Wormley, Eaves, & Hatemi, 2013). The explanation is uncertain. One hypothesis is that the less active form of the gene is linked to greater emotional reactiv- ity (Weeland, Overbeek, de Castro, & Matthus, 2015).

None Probable Severe

Low MAOA activity

High MAOA activity

C o

m p

o si

te in

d ex

o f

an ti

so ci

al b

eh av

io r

Childhood maltreatment

1

0.75

0.5

0.25

0

–0.25

–0.5

Figure 11.8 Genes, environment, and antisocial behavior in men The y axis represents a complex score combining several types of measure- ment. Higher scores indicate more aggressive behaviors. (Source: From “Role of genotype in the cycle of violence in maltreated children,” by A. Caspi, et al., Science, 297, 851–854. © 2002 AAAS.)

STOP & CHECK 5. What relationship did Caspi et al. (2002) report between the

enzyme MAOA and antisocial behavior?

ANSWER

5. Overall, people with genes for high or low production of MAOA do not differ significantly in their probability of antisocial behavior. However, among those who suffered serious maltreatment during childhood, people with lower levels of the enzyme showed higher rates of antisocial behavior.

08202_ch11_ptg01.indd 363 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

364 CHAPTER 11 Emotional Behaviors

Serotonin Synapses and Aggressive Behavior Several lines of evidence link impulsive, aggressive behavior to low serotonin release. Let’s examine some of this evidence.

Nonhuman Animals Much of the earliest evidence came from studies on mice. Luigi Valzelli (1973) found that isolating male mice for 4 weeks in- creased their aggressive behavior and decreased their serotonin turnover. When neurons release serotonin, they reabsorb most of it and synthesize enough to replace the amount that washed away. Thus, the amount present in neurons remains fairly con- stant, but if we measure the serotonin metabolites in body flu- ids, we gauge the turnover, the amount that neurons released and replaced. Researchers measure serotonin turnover by the concentration of 5-hydroxyindoleacetic acid (5-HIAA), serotonin’s main metabolite, in the cerebrospinal fluid (CSF). Measuring the amount in the blood or urine is a simpler but less accurate alternative.

Comparing genetic strains of mice, Valzelli and his col- leagues found that social isolation lowered serotonin turn- over by the greatest amount in the strains that reacted with the greatest amount of fighting after social isolation (Valzelli & Bernasconi, 1979). Other methods of decreasing sero- tonin turnover also increase aggressive behavior (Audero et al., 2013). Serotonin activity is lower in juvenile rodents than in adults, and fighting is more frequent in the juveniles (Taravosh-Lahn, Bastida, & Delville, 2006).

Humans Many early studies reported low serotonin turnover in people with a history of violent behavior, including people convicted of arson and other violent crimes (Virkkunen, Nuutila, Good- win, & Linnoila, 1987) and people who attempt suicide by vio- lent means, as illustrated in Figure 11.10 (Brown et al., 1982; Edman, Åsberg, Levander, & Schalling, 1986; Mann, Arango, & Underwood, 1990; Pandey et al., 1995; Roy, DeJong, & Linnoila, 1989; Sher et al., 2006; Spreux-Varoquaux et al., 2001). Follow-up studies on people released from prison found

response to some event rather than the baseline level of tes- tosterone (which is easier to measure). A study found that training disruptive children to control their violent impulses produced its benefits by decreasing the testosterone bursts that occurred after perceived insults or mistreatment (Carré, Iselin, Welker, Hariri, & Dodge, 2014).

Correlational studies are not ideal for studying testoster- one effects, because people with high testosterone levels may be unusual in other regards also. A better approach is to com- pare the results of administering testosterone or a placebo. Two studies, one with men and one with women, found that testosterone increased behaviors that are likely to enhance someone’s status or prestige (Boksem et al., 2013; Dreher et al., 2016). Fighting for status is, of course, common among men.

Several studies used the idea of temporarily increasing testosterone levels in women. Because most women start with low testosterone levels, the researchers can readily measure the effects of an increase. In one study, testosterone increased the amount of time women spent looking at angry faces (Terburg, Aarts, & van Honk, 2012). In another study, women were asked to make judgments about visual stimuli, either individually or in pairs. Testosterone did not alter accuracy of individuals’ judg- ments, but it reduced the accuracy of pairs’ decisions (Wright et al., 2012). The women became more likely to argue instead of collaborating, and one of them—not necessarily the more cor- rect one—dominated the decision. This result fits with other research showing that committees work more harmoniously if they include a high percentage of women—presumably women who hadn’t just been given testosterone (Wooley, Chabris, Pentland, Hashmi, & Malone, 2010).

Rape

Higher testosterone

Intermediate testosterone

Lower testosterone

Murder

Armed robbery

Burglary

Drug offenses

53%

47%

32%

21%

28% 36%

34%

30%

33%

23%

23% 53%

39% 33%

13%

Figure 11.9 Testosterone levels for male prisoners Testosterone levels are higher, on the average, for men convicted of murder or rape than for those con- victed of burglary or drug offenses. (Source: Based on Dabbs, Carr, Frady, & Riad, 1995)

STOP & CHECK 6. Why did researchers test the effects of testosterone on

women?

ANSWER

6. Studying the correlation between men’s testosterone and their aggressive behavior does not demonstrate cause and effect. Administering testosterone to women is more likely to produce demonstrable effects because women start with a lower level.

08202_ch11_ptg01.indd 364 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 365

aggressive behavior. Several medications for restraining anxi- ety are effective enough to justify their use in some cases. No pill is likely to be effective in controlling violence. If we want to limit violent behavior, we shall need to seek behavioral means.

that those with lower serotonin turnover had a greater prob- ability of further convictions for violent crimes (Virkkunen, DeJong, Bartko, Goodwin, & Linnoila, 1989; Virkkunen, Eggert, Rawlings, & Linnoila, 1996).

More recent studies have found less consistent effects. Part of the reason is that the early studies measured actual behavior, whereas many of the more recent studies measured aggression or hostility by answers to questionnaires (Duke, Bègue, Bell, & Eisenlohr-Moul, 2013). Overall, low serotonin turnover does appear to correlate with human aggressive behavior, but the correlation is weak, certainly not high enough to use it for mak- ing any predictions about an individual’s behavior.

Testosterone, Serotonin, and Cortisol According to a growing consensus, aggressive behavior does not correlate strongly with any one chemical because it de- pends on a combination. Testosterone, especially a sudden burst of testosterone, facilitates aggressive, assertive, domi- nant behavior. Serotonin tends to inhibit impulsive behaviors. Even more strongly, the hormone cortisol inhibits aggression. The adrenal gland secretes cortisol during periods of stress and anxiety, and cortisol leads to cautious behavior that con- serves energy.

Whereas anxiety increases cortisol levels, anger decreases it (Kazén, Kuenne, Frankenberg, & Quirin, 2012). Studies with both males and females of several ages have found that a com- bination of high testosterone and low cortisol increases ag- gressive and risky behaviors (Mehta, Welker, Zilioli, & Carré, 2015; Montoya, Terburg, Bos, & van Honk, 2012; Platje et al., 2015). The general interpretation is that low cortisol means decreased fear of harmful consequences, whereas testosterone increases the expected pleasure or gain. Yes, the opportunity for attack is often perceived as rewarding (Falkner, Grosenick, Davidson, Deisseroth, & Lin, 2016).

Still, even a combined measure of testosterone, corti- sol, and serotonin provides only a modest relationship to

100

5– H

IA A

in p

ic o

m o

le s

p er

m l

Never attempted

suicide

Attempted once

Attempted again

Figure 11.10 Levels of 5-HIAA in the CSF of people with depression Measurements for the suicide-attempting groups were taken after the first attempt. Low levels of 5-HIAA indicate low serotonin turnover. (Source: Based on results of Roy, DeJong, & Linnoila, 1989)

STOP & CHECK 7. If we want to know how much serotonin the brain has been

releasing, what should we measure? 8. What is the relationship between cortisol and aggressive

behavior?

ANSWERS

7. We can measure the concentration of 5-HIAA, a sero- tonin metabolite, in the cerebrospinal fluid or other body fluids. The more 5-HIAA, the more serotonin has been released and presumably resynthesized. 8. Cortisol tends to inhibit impulsive behaviors, including aggression.

Fear and Anxiety Do we have any built-in, unlearned fears? Yes, at least one: A sudden loud noise causes a newborn to arch the back, briefly extend the arms and legs, and cry. This reaction is called the Moro reflex. You might argue that it does not demonstrate fear, but only distress. Oh, well, suit yourself. It looks like fear to most people. After infancy, a loud noise elicits the closely related startle reflex: Auditory information goes first to the cochlear nucleus in the medulla and from there directly to an area in the pons that commands tensing the muscles, espe- cially the neck muscles. Tensing the neck muscles is impor- tant because the neck is so vulnerable to injury. Information reaches the pons within 3 to 8 ms after a loud noise, and the full startle reflex occurs in less than two-tenths of a second (Yeomans & Frankland, 1996).

Although you don’t have to learn to fear loud noises, your current mood or situation modifies your reaction. Your startle reflex is more vigorous if you are already tense. People with post-traumatic stress disorder show an enhanced startle re- flex (Grillon, Morgan, Davis, & Southwick, 1998). So do peo- ple who report much anxiety, even if they don’t qualify for a psychiatric diagnosis (McMillan, Asmundson, Zvolensky, & Carleton, 2012). In short, variations in the startle reflex corre- late well enough with anxiety that we can measure the startle reflex to measure anxiety. Don’t underestimate the power of that statement. Research on other types of emotion is ham- pered by the difficulty of measurement. For happiness, re- searchers rely almost entirely on self-reports, which are of questionable accuracy. Smiles are even less valid indicators of happiness, as people often smile without being happy or feel happy without smiling. We have no acceptable way to measure happiness in nonhuman animals. Researchers sometimes ob- serve fighting to measure anger, but you could fight without being angry, or you could be angry without fighting. Again, facial expressions are only moderately valid measures of anger.

08202_ch11_ptg01.indd 365 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

366 CHAPTER 11 Emotional Behaviors

The suitability of the startle reflex as a behavioral measure of anxiety means that we can use it with laboratory animals to explore the brain mechanisms.

Role of the Amygdala in Rodents Research with rodents has demonstrated the importance of the amygdala for fear and anxiety. The research with rodents has a good chance of applying to humans as well, because the anatomy and connections of the amygdala are nearly the same from one species to another (Janak & Tye, 2015). In research with nonhumans, psychologists first measure the startle re- sponse to a loud noise. Then they repeatedly pair a stimulus, such as a light or sound, with shock. Finally, they present the new stimulus just before the loud noise and determine how much it increases the startle response. A control group is tested with a stimulus that has not been paired with shock. Re- sults of such studies consistently show that after rats or mice have learned to associate a stimulus with shock, that stimulus becomes a fear signal, and presenting that signal just before a sudden loud noise enhances the startle response. Conversely, a stimulus previously associated with pleasant stimuli or the absence of danger becomes a safety signal that decreases the startle reflex (Schmid, Koch, & Schnitzler, 1995).

Investigators determined that the amygdala (see Figures 11.7 and 11.11) is important for enhancing the startle reflex, and for learned fears in general. A rat with damage to the amygdala still shows a normal startle reflex, but signals of danger or safety do not modify the reflex. In one study, rats were repeatedly exposed to a light followed by shock and then tested for their responses to a loud noise. Intact rats showed a moderate startle reflex ordinarily, but showed an en- hanced response if the light preceded the noise. In contrast,

People’s choices of activities depend in part on how easily they develop anxiety.

O O

Thalamus

Visual cortex

Midbrain

Medulla Spinal cord

Pons

Central amygdala

Basolateral amygdala

Auditory cortex Figure 11.11 Amygdala and learned fears The central amygdala receives sensory input from the lateral and basolateral amygdala. It sends output to the central gray area of the midbrain, which relays informa- tion to a nucleus in the pons responsible for the startle reflex. Damage anywhere along the route from the amygdala to the pons interferes with learned fears that modify the startle reflex.

Jo e

M cB

rid e/

St on

e/ Ge

tty Im

ag es

08202_ch11_ptg01.indd 366 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 367

Studies of the Amygdala in Monkeys The effect of amygdala damage in monkeys was described in classic studies early in the 1900s and is known as the Klüver- Bucy syndrome, from the names of the primary investigators. Monkeys showing this syndrome are tame and placid. They attempt to pick up lighted matches and other objects that they ordinarily avoid. They display less than the normal fear of snakes or of larger, more dominant monkeys (Kalin, Shelton, Davidson, & Kelley, 2001). They have impaired social behav- iors, largely because they don’t seem to learn which monkeys to approach with caution. Like rats with amygdala damage, monkeys with such damage are impaired at learning what to fear (Kazama, Heuer, Davis, & Bachevalier, 2012). Among intact monkeys, those with a more vigorously reactive amyg- dala tend to show the greatest fear in response to a noise or an intruder (Oler et al., 2010).

Response of the Human Amygdala to Visual Stimuli Studies using fMRI show that the human amygdala responds strongly when people look at photos that arouse fear or at photos of faces showing fear or anger (Mattavelli et al., 2014).

rats with damage in the path from the amygdala to the hind- brain showed the same startle reflex regardless of the light (Hitchcock & Davis, 1991).

An odd parasite has evolved a way to exploit the consequences of amygdala damage (Berdoy, Webster, & Macdonald, 2000). Toxoplasma gondii is a protozoan that in- fects many mammals but reproduces only in cats. Cats excrete the parasite’s eggs in their feces, thereby releasing them into the ground. Rats or mice that burrow in the ground can be- come infected with the parasite. When the parasite enters a rodent, in many cases (about 50 percent) it migrates to the brain where it damages the amygdala. The rodent then fear- lessly approaches a cat, guaranteeing that the cat will eat the rat and that the parasite will find its way back into a cat!

Researchers have worked out many of the connections re- sponsible for the amygdala’s effects. Much input from sensory systems including vision and hearing goes to the lateral and basolateral areas of the amygdala, which relay the informa- tion to the central amygdala, which combines it with pain and stress information that it received from the thalamus (Penzo et al., 2015). Learning a fear strengthens synapses at several of the connections along this route (Herry & Johansen, 2014). A strain of mice with stronger connections between the lateral and central amygdala is characterized by heightened anxiety in many situations (Abrabos et al., 2013). Perhaps that con- nection is important for human differences in fears and anxi- eties also.

By stimulating or damaging parts of laboratory animals’ amygdala, researchers have found that one path through the amygdala is responsible for fear of pain, another path for fear of predators, and yet another for fear of aggressive members of your own species (Gross & Canteras, 2012). Also, one part of the amygdala controls changes in breathing, another controls avoidance of potentially unsafe places, and another controls learning which particular places are safest (Kim et al., 2013). The path from the amygdala responsible for freezing in the presence of danger is separate from the path controlling changes in heart rate (Tovote et al., 2016; Viviani et al., 2011). These findings are relevant to psychological theories about emotion, because they demonstrate that what we call fear is a conglomerate of separate aspects, not a single indivisible state.

The amygdala is important for learning to fear a particu- lar stimulus, but that is not the only type of fear condition- ing. If a rat has received shocks after a particular stimulus in a particular cage, it learns to fear the stimulus (by changes in the amygdala) but it also learns to fear the cage . . . and new cages . . . and new situations. The same is true for humans. If you have been attacked, you fear anything associated with that attack, but also you become more fearful in general, in a variety of situations. It is as if your brain has decided, “This is a dangerous world. I need to be alert for new threats.” This long-term, generalized emotional arousal depends on a brain area called the bed nucleus of the stria terminalis (Duvarci, Bauer, & Paré, 2009; Toufexis, 2007). The stria terminalis is a set of axons that connect the bed nucleus to the amygdala, as shown in Figure 11.12.

Stria teminalis

Amygdala

Bed nucleus of stria terminalis

Corpus callosum

Fornix

Hippocampus

Ventral tegmentum

Olfactory bulb

Figure 11.12 The bed nucleus of the stria terminalis The bed nucleus is critical for long-term adjustments of anxiety, whereas the amygdala is responsible for fear of individual items. The stria terminalis is a set of axons connecting its bed nucleus to the amygdala.

STOP & CHECK 9. What brain mechanism enables the startle reflex to be so

fast? 10. How could a researcher use the startle reflex to determine

whether some stimulus causes fear?

ANSWERS

9. Loud noises activate a path from the cochlea to cells in the pons that trigger a tensing of neck muscles. 10. Pres- ent the stimulus before giving a loud noise. If the stimulus increases the startle reflex beyond its usual level, then the stimulus produced fear.

08202_ch11_ptg01.indd 367 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

368 CHAPTER 11 Emotional Behaviors

Individual Differences in Amygdala Response and Anxiety Most people’s tendency toward anxiety generally remains fairly consistent over time. Most infants with an “inhibited” temperament develop into shy, fearful children and then into shy adults who show an enhanced amygdala response to the sight of any unfamiliar face (Beaton et al., 2008; Schwartz, Wright, Shin, Kagan, & Rauch, 2003). Part of the variance in anxiety relates to genes (Disner et al., 2013; Li et al., 2015; Miu, Vulturar, Chis, Ungureanu, & Gross, 2013; Volman et al., 2013), and part relates to epigenetic changes caused by expe- riences, especially experiences early in life (Nikolova et al., 2014; Silvers et al., 2016).

Individual differences in anxiety correlate strongly with amygdala activity. In one study, college students carried a device that beeped at unpredictable times each day for 28 days, asking the students to record their emotional state at the moment. A year later the students came into a laboratory for the second part of the study, in which an fMRI recorded their amygdala response to very brief presentations of fright- ening pictures. The amygdala responses correlated highly with the number of unpleasant emotions they had recorded the previous year (Barrett, Bliss-Moreau, Duncan, Rauch, & Wright, 2007). Presumably they recorded so many unpleasant emotions because they were biologically predisposed to react strongly.

In a study of Israeli soldiers, researchers first measured their amygdala responses to briefly flashed unpleasant pho- tos, at the time of the soldiers’ induction into the army. Later they measured the soldiers’ responses to combat stress. Those with the greatest amygdala response at the start reported the greatest amount of combat stress (Admon et al., 2009). Again, it appears that amygdala response is closely related to fear reactivity.

However, anxiety depends on more than just the amyg- dala. It also depends on cortical areas that help people cope with threatening information. An effective way to cope is re- appraisal—reinterpreting a situation as less threatening. For example, if you lose your job, you might tell yourself, “This will prompt me to look for a new job. It might turn out for the best.” Or you hear what might be a gunshot, but you de- cide it might have been a car backfiring. Reappraisal and similar methods of suppressing anxiety depend on top-down influences from the prefrontal cortex to inhibit activity in the amygdala (Marek, Strobel, Bredy, & Sah, 2013; Moscarello & LeDoux, 2013). People with stronger connections between the prefrontal cortex and the amygdala tend to make more use of reappraisal and tend to feel less anxiety (Eden et al., 2015).

Anxiety reactivity affects much of life—even, according to one study, political attitudes. People were asked a series of questions about their support for use of military force, po- lice powers, the death penalty, gun ownership, and so forth. Researchers also measured each person’s responses to sud- den loud noises, repeated numerous times. As shown in Figure 11.14, those showing high support for military and

It can also respond to pleasant stimuli, but only when a task requires attention to pleasant stimuli, and even then the response is never as great as it is to unpleasant stimuli (Still- man, Van Bavel, & Cunningham, 2015). The amygdala’s re- sponse to a frightened face emerges in the remarkably fast time of just 74 milliseconds (ms) after presentation of the photo (Méndez-Bértolo et al., 2016), faster than the response by the fusiform gyrus and other areas responsible for facial recognition. That is, you respond to the fear in someone’s face before you recognize whose face it is.

Contrary to what we might guess, the amygdala responds most strongly when a facial expression is a bit more difficult to interpret. Consider angry and frightened faces. As a rule, it is easy to interpret an angry face looking straight at you, but a fearful face looking straight at you is more puzzling. Fright- ened people almost always stare at whatever is frightening them, and so the only time someone stares at you with a fear- ful expression is when the person is afraid of you! Although you more easily recognize a fearful expression directed to the side, your amygdala responds more strongly if the fearful expression is directed toward you. The opposite results apply to an angry face (Adams, Gordon, Baird, Ambady, & Kleck, 2003; Adams & Kleck, 2005) (see Figure 11.13). That is, the amygdala responds more strongly to the expression that is harder to interpret.

% S

ig n

al c

h an

g e

Anger direct

Fear direct

Anger averted

Fear averted

0.16

0.14

0.12

0.1

0.08

0.06

0.04

0.02

0

Figure 11.13 Amygdala response and direction of gaze The amygdala responds more strongly to an angry face directed toward the viewer and to a frightened face directed toward something else. (Source: From Adams, R. B. et al. “Effects of gaze on amygdala sensitivity to anger and fear faces,” Science, 2003, 300:1536. Reprinted with permission from AAAS/Science Magazine.)

STOP & CHECK 11. Given that the amygdala becomes more active when an

expression is harder to interpret, can you explain why it does not respond strongly to happy faces?

ANSWER

11. Smiling faces are easy to interpret!

08202_ch11_ptg01.indd 368 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 369

People with the rare genetic disorder Urbach-Wiethe disease accumulate calcium in the amygdala until it wastes away. Thus they have extensive damage to the amygdala without much dam- age to surrounding structures. Like the monkeys with Klüver- Bucy syndrome, they are impaired at processing emotional information and learning what to fear. Much of the research on this condition deals with a woman known by her initials, SM, who describes herself as fearless, and certainly acts that way. When she viewed 10 clips from the scariest movies the research- ers could find, she reported feeling only excitement, no fear. Re- searchers took her to an exotic pet store. In spite of insisting that she hates snakes and spiders, she was happy to hold a snake (see Figure 11.15), and the staff repeatedly had to restrain her from touching or poking the tarantulas and venomous snakes. When the researchers took her to a “haunted house,” she led the way without hesitation, venturing down dark hallways. When peo- ple dressed as monsters jumped out, other people in the group screamed, but SM laughed, curiously poked one of the monsters, and scared the monster! Her fearlessness is dangerous to her. She has been held up at gunpoint and knifepoint and has been physi- cally assaulted repeatedly. Evidently she plunges into dangerous situations without the caution other people would show. When she describes these events, she remembers feeling angry, but not afraid (Feinstein, Adolphs, Damasio, & Tranel, 2011).

Here is another example of her fearlessness: Suppose someone you don’t know approaches you, face to face. How close could that person come before you began to feel uncom- fortable? Most Americans stand about 2 feet (0.7 m) away from another person, but SM’s preferred distance is about half that. When a man unknown to her followed the experimenters’ in- struction to approach her so close that their noses touched, she showed and reported no discomfort (Kennedy, Gläscher, Tyszka, & Adolphs, 2009). (She did say she wondered whether they were “up to something.”)

police action showed a greater startle response to the loud noises (Oxley et al., 2008). The interpretation is that peo- ple with a highly reactive amygdala react strongly to real or perceived dangers, and therefore support strong protection against those dangers. This relationship, of course, says noth- ing about whether the high support or low support group is correct. It just indicates that when we are arguing about pol- icy, variants in brain physiology influence how we interpret uncertain types of evidence.

M ea

n b

lin k

am p

lit ud

e

Three-event clusters of startle stimuli

High support group

Low support group

Note how responses decline after repetition of the sound.

1

0.8

0.6

0.4

0.2

0 1–3 2–4 3–5 4–6 5–7

Figure 11.14 Fear responses and political attitudes On the average, people who show a stronger startle response to loud noises tend to favor greater reliance on military and police powers. (Source: From “Political attitudes vary with physiological traits,” by D. R. Oxley, K. B. Smith, J. R. Alford, M. V. Hibbing, J. L. Miller, M. Scalora, et al., 2008, Science, 321, 1667–1670. Reprinted by permission from the American Association for the Advancement of Science.)

STOP & CHECK 12. If you wanted to predict which soldiers might have the

greatest difficulty dealing with combat stress, what brain measurement might be worth trying?

ANSWER

12. Examine amygdala responses to disturbing pic- tures. In one study, soldiers with the greatest amygdala responses were the most likely to report great combat stress. Determining the strength of connections between prefrontal cortex and amygdala might be helpful also.

Damage to the Human Amygdala With laboratory animals, researchers can intentionally dam- age the amygdala to see the effects. With humans, they have to rely on damage that occurs spontaneously. When people suffer a stroke that damages the amygdala and surrounding areas, at least in one hemisphere, they are impaired in certain ways. They can classify photos as pleasant versus unpleasant about as well as anyone else, but they experience little arousal from viewing unpleasant pictures (Berntson, Bechara, Dama- sio, Tranel, & Cacioppo, 2007). That is, they have no problem with the cognitive aspect of unpleasant emotions, but they lack much of the feeling aspect.

Figure 11.15 SM, a woman with amygdala damage, holds a snake at an exotic pet store Although she said she hates snakes, she was curious to hold this one and wanted to touch the others, including venomous ones. (Source: From Feinstein, J. S., Adolphs, R., Damasio, A., & Tranel, D. (2011). The human amygdala and the induction and experience of fear. Current Biology, 21, 34–38 with permission from Elsevier.)

08202_ch11_ptg01.indd 369 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

370 CHAPTER 11 Emotional Behaviors

would look like. When the researcher urged her to try, she drew someone crawling away with hair on end, as cartoonists often indicate fear (Adolphs, Tranel, Damasio, & Damasio, 1995).

Why do SM and others with amygdala damage have trouble identifying facial expressions of fear? At first, the as- sumption was that they do not feel fear and therefore cannot understand the expression. But then Ralph Adolphs and his colleagues observed that SM focuses almost entirely on the nose and mouth of each photograph. Also in everyday life, she seldom makes eye contact, looking at the mouth instead (Spezio, Huang, Castelli, & Adolphs, 2007). The amygdala au- tomatically directs attention toward emotionally significant stimuli, even without your awareness (Amting, Greening, & Mitchell, 2010; Burra et al., 2013; Peck, Lau, & Salzman, 2013; Pishnamazi et al., 2016), but someone lacking an amygdala doesn’t have this automatic tendency. Suppose you are look- ing at a computer screen, and a face is flashed briefly on the screen. Almost instantaneously, you would move your gaze to focus on the eyes, especially if the face was showing fear (Gamer & Büchel, 2009). SM is willing to make eye contact, but someone’s eyes simply don’t attract her attention as they do for other people (Kennedy & Adolphs, 2010). When re- searchers asked her to look at the eyes, she quickly recognized fearful expressions (Adolphs, Tranel, & Buchanan, 2005). Seeing the eyes is particularly important for recognizing fear. People express happiness with the mouth, but they express fear mainly with the eyes (Morris, deBonis, & Dolan, 2002; Vuilleumier, 2005). Figure 11.17 shows only the whites of the eyes of people expressing fear (left) and happiness (right). Most people recognize the fear expression, but not the happy expression, from the eyes alone (Whalen et al., 2004).

These observations suggest an alternative interpretation of the function of the amygdala. Instead of being responsible for feeling fear or other emotions, evidently it is responsible for detecting emotional information and directing attention to it.

The only event known to trigger her fear is breathing 35 percent carbon dioxide, which leaves a person gasping for breath. She and two others with Urbach-Wiethe disease reacted to concentrated CO2 with a panic attack. The differ- ence from other fear stimuli is that carbon dioxide affects the body directly, rather than by visual or auditory signals that the amygdala would have to interpret. However, although all three people said it was a terrible experience and they thought they were going to die, they all agreed to go through the ex- perience again the following week, and did not think about the upcoming experience again during that delay (Feinstein et al., 2013). Apparently the amygdala is important for imagining the fear or thinking about the danger.

SM and other people with Urbach-Wiethe disease often fail to recognize the emotional expressions in faces, especially expressions of fear or disgust (Boucsein, Weniger, Mursch, Steinhoff, & Irle, 2001). When SM was asked to draw faces showing certain emotions (see Figure 11.16), she made good drawings of most expressions but had trouble drawing a fear- ful expression, saying that she did not know what such a face

Happy Sad

Surprised Disgusted

Angry Afraid

Figure 11.16 Drawings by SM, who has a damaged amygdala She at first declined to draw a fearful expression because, she said, she could not imagine it. When urged to try, she remembered that cartoons depict frightened people with their hair on end. (Source: From “Fear and the human amygdala,” by R. Adolphs, D. Tranel, H. Damasio, and A. Damasio, Journal of Neuroscience, 15, 5879–5891. Copyright © 1995 by Oxford University Press. Reprinted by permission.)

Fear Happy

% S

ig n

al c

h an

g e

Sc ie

nc e

M ag

az in

e/ A

A A

S

Eye whites

0.5

0.4

0.3

0.2

0.1

0

Fear Happy

Figure 11.17 Eye expressions for fear and happiness The eye whites alone enable most people to guess that the person on the left was feeling afraid. The right part of the figure shows the amygdala responses of typical adults to the two expressions. (Source: From “Human amygdala responsivity to masked fearful eye whites,” by P. J. Whalen et al., Science, 2004, 306, 2061. Reprinted by permission from AAAS/Science magazine.)

08202_ch11_ptg01.indd 370 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 371

For humans, too, widespread, generalized anxiety makes sense if you live in a war zone or if you have recently been at- tacked. Anxiety disorders are conditions in which someone’s anxiety seems excessive for the circumstances. Panic disorder is characterized by frequent periods of anxiety and occasional attacks of rapid breathing, increased heart rate, sweating, and trembling—in other words, extreme arousal of the sympa- thetic nervous system. An important part of the disorder is frequent fear of the next panic attack. The fear of fear itself can become incapacitating. Panic disorder is more common in women than in men and far more common in adolescents and young adults than in older adults (Shen et al., 2007; Swoboda, Amering, Windhaber, & Katschnig, 2003).

What causes some people to be prone to anxiety? Twin studies suggest a genetic predisposition, although no single gene has been identified (Shimada-Sugimoto, Otowa, & Hettema, 2015). Early-life experiences can also increase susceptibility. Curiously, panic disorder occurs in about 15 percent of people with joint laxity, commonly known as being “double-jointed” (able to bend the fingers backward farther than usual). Even when people with joint laxity do not have panic disorder, they tend to have stronger than average fears (Bulbena et al., 2004; Bulbena, Gago, Sperry, & Bergé, 2006).

The research so far links panic disorder to abnormalities in the hypothalamus, and not necessarily the amygdala. Panic disorder is associated with decreased activity of the neu- rotransmitter GABA and increased levels of orexin. Orexin, as discussed in other chapters, is associated with maintain- ing wakefulness and activity. We might not have guessed that it would also be associated with anxiety, but apparently it is, and drugs that block orexin receptors block panic responses (Johnson et al., 2015).

People have long recognized that many soldiers returning from battle are prone to continuing anxieties and distress. Long ago, people called the condition battle fatigue or shell shock. Today, we call it post-traumatic stress disorder (PTSD), marked by frequent distressing recollections (flashbacks) and nightmares about the traumatic event, avoidance of remind- ers of it, and vigorous reactions to noises and other stimuli (Yehuda, 2002). PTSD also occurs after other miserable expe- riences, such as being raped or watching someone get killed. When someone survives a traumatic experience, raising the anxiety level at least temporarily is understandable. We pre- sumably evolved mechanisms to adjust our anxiety level up or down depending on the level of danger. However, not everyone who endures a trauma develops PTSD, and we cannot predict who will get PTSD based on the severity of the trauma or the intensity of the person’s initial reaction (Harvey & Bryant, 2002; Shalev et al., 2000).

The humor publication The Onion once published an ar- ticle about “pretraumatic stress disorder” that people devel- oped by watching the news on television. Although this was intended as humor, psychologists later found that something like it actually happens: Some soldiers develop mild symptoms similar to post-traumatic stress disorder during preparation

Anxiety Disorders What is the “right” amount of anxiety? It depends. Your life circumstances might justify great anxiety, or much less. Re- searchers can model that trend in laboratory rats. Suppose tone #1 predicts a mild shock and tone #2 predicts no shock. A rat learns to respond to tone #1 by freezing in place, and many neurons in its amygdala respond only to #1. As Figure 11.18 shows, if tone #1 predicts a strong shock, a greatly increased percentage of neurons respond to both tones (and presum- ably other tones that the researchers did not test). The dan- gers are great, and the rat is not taking any chances (Ghosh & Chattarji, 2015).

Ralph Adolphs Will a better understanding of the social brain lead to a better understanding of social behavior? And can such knowledge ultimately be used to help our species negotiate and survive in the vastly com- plex social world it has helped create? To approach such questions, social neuro- scientists will need to establish dialogues

with other disciplines in the social and behavioral sciences, and to be highly sensitive to the public consequences of the data they generate. (Adolphs, personal communication)

Ra lp

h Ad

ol ph

s

STOP & CHECK 13. Why do people with amygdala damage have trouble recog-

nizing expressions of fear?

ANSWER 13. They focus their vision on the nose and mouth. Expressions of fear depend almost entirely on the eyes.

60

50

40

30

20

10

0

Pe rc

en t

am yg

d al

a ce

lls

Tone #1 predicts weak shock

Respond only to tone #1

Respond to both tones

Respond to neither

Tone #1 predicts strong shock

Figure 11.18 Amygdala responses to two tones After a tone predicted a mild shock, amygdala cells responded only to that tone. If it predicted a strong shock, many amygdala cells responded unselectively to all tones. (Source: Based on results of Ghosh & Chattarji, 2015)

08202_ch11_ptg01.indd 371 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

372 CHAPTER 11 Emotional Behaviors

Relief from Anxiety People have many ways to cope with anxiety—social support, reappraisal of the situation, exercise, distraction, gaining a sense of control over the situation, and so forth. Here we con- sider the options for biological interventions.

Pharmacological Relief People with excessive anxiety sometimes seek relief through medications. The most common anxiolytic (anti-anxiety) drugs are the benzodiazepines (BEN-zo-die-AZ-uh-peens), such as diazepam (trade name Valium), chlordiazepoxide (Librium), and alprazolam (Xanax). Benzodiazepines bind to the GABAA receptor, which includes a site that binds GABA as well as sites that modify the sensitivity of the GABA site (see Figure 11.19). The brain also has other kinds of GABA receptors, such as GABAB, with different behavioral effects.

At the center of the GABAA receptor is a chloride chan- nel. When open, it permits chloride ions (Cl2) to cross the membrane into the neuron, hyperpolarizing the cell or at least

for deployment, and these soldiers are more likely than aver- age to develop serious symptoms after actual war experiences (Berntsen & Rubin, 2015).

The increased risk relates to brain anatomy. Most victims of PTSD have a smaller than average hippocampus (Stein, Hanna, Koverola, Torchia, & McClarty, 1997). Is that differ- ence a result of PTSD, or does it show a predisposition by peo- ple who already had a smaller hippocampus? Probably both are true. Studies on both humans and laboratory animals show that severe stress can impair function in the hippocampus and sometimes cause shrinkage (Kim, Pellman, & Kim, 2015). In addition, people who have a smaller hippocampus tend to rate their experiences as more stressful (Lindgren, Bergdahl, & Nyberg, 2016). In one study, investigators examined men who developed PTSD during war. First, they confirmed ear- lier reports that most of the victims of PTSD had a smaller than average hippocampus. Then they found cases in which the victim had a monozygotic twin who had not been in battle and who did not have PTSD. The results showed that the twin without PTSD also had a smaller than average hippocampus (Gilbertson et al., 2002). Presumably, both twins had a smaller than average hippocampus from the start, which increased the susceptibility to PTSD. Two other studies found that recovery from PTSD did not increase the size of the hippocampus, but people with the smallest hippocampus were the least likely to recover quickly (Rubin et al., 2016; van Rooij et al., 2015).

One further point about PTSD: A study compared Viet- nam War veterans who suffered injuries that produced vari- ous kinds of brain damage. Of those whose damage included the amygdala, none suffered PTSD. Of those with damage elsewhere in the brain, 40 percent suffered PTSD (Koenigs et al., 2008). Apparently, the amygdala, which is so important for emotional processing, is essential for the extreme emotional impact that produces PTSD.

STOP & CHECK 14. What evidence indicates that a smaller than average hippo-

campus makes people more vulnerable to PTSD?

ANSWER

14. For victims of PTSD who have a monozygotic twin, the twin also has a smaller than average hippocampus, even if he or she does not have PTSD. Also, people with a smaller hippocampus are less likely to recover easily from PTSD.

ba a

a a

ba a

Cl– Cl–

Receptors for benzodiazepines

GABA receptor

Neuron membrane

GABA molecule

Benzodiazepine molecule

GABA receptor Cross section Benzodiazepines facilitate GABA binding. GABA twists the receptor to

open a chloride channel.

a

b

Figure 11.19 The GABAA receptor complex Of its four receptor sites sensitive to GABA, the three alpha sites are also sensitive to benzodiazepines. (Source: Based on Guidotti, Ferrero, Fujimoto, Santi, & Costa, 1986)

08202_ch11_ptg01.indd 372 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 373

Could Ro15-4513 be useful as a “sobering-up” pill or as a treatment to help people who want to stop drinking alcohol? Hoffmann-La Roche, the company that discovered the drug, concluded that it would be too risky. People who relied on the pill might think they were sober enough to drive home when they were not. Also, giving such a pill to people with alcohol- ism would probably backfire. Because people with alcoholism drink to get drunk, a pill that decreased their feeling of intoxi- cation would probably lead them to drink even more.

counteracting any sodium entering the cell through excitatory synapses. That is, the GABA synapse is inhibitory. Surround- ing the chloride channel are four units, each containing one or more sites sensitive to GABA. Benzodiazepines bind to sites on three of those four units (labeled α in Figure 11.19). When a benzodiazepine molecule attaches, it neither opens nor closes the chloride channel but twists the receptor so that the GABA binds more easily (Macdonald, Weddle, & Gross, 1986). Benzodiazepines thus facilitate the effects of GABA.

Benzodiazepines exert their anti-anxiety effects in the amygdala, hypothalamus, midbrain, and several other ar- eas. A minute amount of benzodiazepines injected directly into a rat’s amygdala decreases learned shock-avoidance be- haviors (Pesold & Treit, 1995), relaxes the muscles, and in- creases social approaches to other rats (Sanders & Shekhar, 1995). Benzodiazepines have other effects, including the possibility of addiction after prolonged use. Nevertheless, they provide relief from anxiety disorders, generally with fewer undesirable effects than antidepressant drugs, which are also sometimes prescribed (Offidani, Guidi, Tomba, & Fava, 2013).

An unfortunate aspect of benzodiazepines is that they are extremely stable chemically. Typically they pass through the urine intact, pass through the waste treatment plant intact, and accumulate in lakes and rivers, where they alter the eating and social behavior of resident fish (Brodin, Fick, Jonsson, & Klaminder, 2013).

Alcohol and Anxiety Alcohol also reduces anxiety through effects on GABA recep- tors. Alcohol promotes the flow of chloride ions through the GABAA receptor complex by binding strongly at a special site found on only certain GABAA receptors (Glykys et al., 2007). One experimental drug, known as Ro15-4513, is particularly effective in blocking the effects of alcohol on GABA receptors (Suzdak et al., 1986). Ro15-4513 blocks the effects of alcohol on motor coordination, its depressant action on the brain, and its ability to reduce anxiety (Becker, 1988; Hoffman, Tabakoff, Szabó, Suzdak, & Paul, 1987; Ticku & Kulkarni, 1988) (see Figure 11.20).

Figure 11.20 Two rats that were given the same amount of alcohol The rat on the right was later given the experimental drug Ro15-4513. Within 2 minutes, its performance and coordination improved significantly.

STOP & CHECK 15. What would be the effect of benzodiazepines on someone

who had no GABA?

ANSWER

15. Benzodiazepines facilitate the effects of GABA, so a person without GABA would not respond to benzodiazepines.

Doing Something about Emotions

It is hard to foresee future developments, but suppose research- ers make sudden advances in linking emotional behaviors to physiological measurements. Imagine if we could take a blood sample, an fMRI scan, and a few other measurements and then predict which people will commit violent crime. How accurate would those predictions have to be before we considered using them? In what way, if any, would we use them?

And what about anxiety? Suppose research enables us to modulate people’s anxiety precisely without undesirable side effects. What would be the consequences of chemically con- trolling everyone’s anxiety? Future research will give us new options and opportunities. Deciding what to do with them is another matter.

Module 11.2 In Closing

N at

io na

l I ns

tit ut

e of

M en

ta l H

ea lth

08202_ch11_ptg01.indd 373 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

374 CHAPTER 11 Emotional Behaviors

Summary 1. An experience that gradually provokes an attack leaves an

individual more ready than usual to attack again. 362 2. Aggressive behavior relates to both genetic and envi-

ronmental influences. Most evidence supports the hypothesis that a gene decreasing the activity of mono- amine oxidase A increases aggressive behavior mainly among people who had abusive experiences in childhood. 363

3. Testosterone increases the probability of aggressive or assertive behavior, and cortisol decreases it. 363

4. Researchers measure enhancement of the startle reflex as an indication of anxiety or learned fears. 365

5. The amygdala is critical for increasing or decreasing the startle reflex. It also mediates learned fears. 366

6. According to studies using fMRI, the human amygdala responds strongly to fear stimuli and other stimuli that

evoke strong emotional processing. It responds most strongly when the processing is effortful. 367

7. People with damage to the amygdala fail to focus their attention on stimuli with important emotional content. 369

8. Damage to the amygdala impairs recognition of fear expressions largely because of lack of attention to the eyes. 370

9. Both genetics and experience can predispose people to anxiety disorders. 371

10. People with a smaller than average hippocampus have an increased probability of developing post-traumatic stress disorder. 372

11. Anti-anxiety drugs decrease fear by facilitating the binding of the neurotransmitter GABA to the GABAA receptors. 372

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

bed nucleus of the stria terminalis 367

benzodiazepines 372 GABAA receptor 372

5-hydroxyindoleacetic acid (5-HIAA) 364

panic disorder 371 post-traumatic stress disorder 371

startle reflex 365 turnover 364

1. Much of the play behavior of a cat can be analyzed into attack and escape components. Is the same true for children’s play?

2. People with amygdala damage approach other people indiscriminately instead of trying to choose people who look friendly and trustworthy. What might be a possible explanation?

Thought Questions

Module 11.2 End of Module Quiz

1. Heritability of a tendency toward antisocial behavior is lowest for which of the following? A. Males B. Females

C. People in impoverished neighborhoods D. People in middle-class neighborhoods

2. How does the gene for the less active form of the enzyme MAOA affect the probability for aggressive behavior? A. Increased probability, regardless of environment B. Decreased probability, regardless of

environment

C. Increased probability for someone who was abused in childhood

D. Increased probability for someone who lived in a middle-class neighborhood

3. Aggressive behavior correlates with low turnover of which neurotransmitter? A. Serotonin B. Norepinephrine

C. Dopamine D. Glutamate

08202_ch11_ptg01.indd 374 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.2 Attack and Escape Behaviors 375

4. Which of the following hormones tends to inhibit aggressive behavior? A. Cortisol B. Testosterone

C. Estradiol D. Insulin

5. Why do we know more about the brain mechanisms of fear and anxiety than we do about other emotions? A. Clinical psychologists have greater interest in anxiety

than in other emotions. B. Anxiety depends on brain areas that are easier to

reach surgically.

C. Unlike other emotions, anxiety depends on only a single neurotransmitter.

D. Researchers can more satisfactorily measure anxiety than other emotions in laboratory animals.

6. After damage to the amygdala, what happens to the startle reflex? A. It becomes stronger than before. B. It becomes weaker than before.

C. It disappears altogether. D. It becomes more consistent from one time or situa-

tion to another.

7. Suppose a researcher wants to determine whether someone is afraid of cats. Of the following, which would be the most reasonable approach? A. Present a photo of a cat and see whether it elicits a

startle reflex. B. Present a photo of a cat and then a loud sound.

See whether the photo enhances the usual startle reflex.

C. Present a loud sound and then show a photo of a cat. See whether the photo calms the person after the startle reflex.

D. Present a loud sound to both a person and a cat and see which one shows the greater startle reflex.

8. Research on the amygdala supports which of these psychological conclusions? A. People who experience great fear also tend to experi-

ence a great amount of anger. B. Sigmund Freud’s insights provide the best method

for treating anxiety disorders.

C. What we call fear is a combination of several compo- nents, not an indivisible entity.

D. People have six basic types of emotion.

9. What role does the bed nucleus of the stria terminalis play in fear or anxiety? A. It affects fear of the environment in general. B. It mediates reappraisal that reduces the response of

the amygdala.

C. It relays information from the amygdala to the midbrain.

D. It is responsible for the extinction of learned fears.

10. The amygdala responds most strongly to which type of facial expressions? A. Expressions by infants and children B. Expressions that require some effort to understand

C. Expressions that are directed away from the viewer D. Expressions of sadness

11. What, if anything, can we predict from measuring the strength of amygdala response to frightening stimuli or faces show- ing fear? A. We can predict changes in personality, as measured

by questionnaires. B. We can predict probability of criminal behavior.

C. We can predict probability of strong emotional responses to stressful experiences.

D. We cannot predict anything.

12. After Urbach-Wiethe disease damaged their amygdala, two people showed no fear under most circumstances. Which of the following did, nevertheless, evoke fear? A. Breathing concentrated carbon dioxide B. Holding a snake

C. Standing too close to a stranger D. Watching a horror movie

13. Which of the following types of people would be more likely than average to develop PTSD? A. People who have suffered damage to the amygdala B. People with higher than average levels of serotonin

turnover

C. People with lower than average levels of cortisol D. People with a smaller than average hippocampus

14. What do benzodiazepines do? A. They decrease cortisol secretion. B. They increase secretion of orexin.

C. They facilitate GABA synapses. D. They inhibit serotonin synapses.

Answers: 1C, 2C, 3A, 4A, 5D, 6D, 7B, 8C, 9A, 10B, 11C, 12A, 13D, 14C.

08202_ch11_ptg01.indd 375 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

376

Module 11.3

Stress and Health

After intense, prolonged stress, the body enters the third stage, exhaustion. During this stage, the individual is tired, inactive, and vulnerable because the nervous and immune systems no longer have the energy to sustain their responses.

Stress-related illnesses and psychiatric problems are widespread in industrial societies, possibly because of changes in the type of stresses we face. In our evolution- ary past, the alarm stage readied our ancestors for fight or flight. Today, as Robert Sapolsky (1998) has argued, many of our crises are prolonged, such as working under a domi- neering boss, paying bills with inadequate income, or car- ing for a relative with a chronic health problem. Prolonged activation of the general adaptation syndrome can lead to exhaustion.

Selye’s concept of stress specified any change in one’s life, including both favorable and unfavorable events. Bruce McEwen (2000, p. 173) proposed an alternative definition that is better for most purposes: “events that are interpreted as threatening to an individual and which elicit physiologi- cal and behavioral responses.” Although this definition differs from Selye’s, the idea remains that many kinds of events can be stressful, and the body reacts to all kinds of stress in similar ways. Still, as Jerome Kagan (2016) has argued, psychologists have been willing to define stress in broad, vague terms that range from life-threatening events to brief matters of incon- venience. Consequently, research studies on stress sometimes reach contradictory conclusions about the effects on sympa- thetic nervous system arousal, alertness, memory, immune responses, or health.

Stress is not an emotion, but it is a result of emotion, and a cause of much else. In the early days of scientific medicine, physicians made little allowance for the relation of emotions to health and disease. Today, we accept the idea that emo- tions and other experiences influence people’s illnesses and patterns of recovery. Behavioral medicine emphasizes the effects of stressful experiences, diet, smoking, exercise, and other behaviors.

Stress and the General Adaptation Syndrome Hans Selye (1979) popularized the concept of stress, defin- ing it as the nonspecific response of the body to any demand made upon it. When Selye was in medical school, he noticed that patients with a wide variety of illnesses had much in com- mon: They develop a fever, they lose their appetite, they be- come inactive, they are sleepy most of the day, their sex drive declines, and their immune systems become more active. Later, when doing laboratory research, he found that rats exposed to an injection of anything, as well as heat, cold, pain, con- finement, or the sight of a cat responded with increased heart rate, breathing rate, and adrenal secretions. Selye inferred that any threat to the body, in addition to its specific effects, ac- tivated a generalized response to stress, which he called the general adaptation syndrome, due mainly to activity of the adrenal glands. In the initial stage, which he called alarm, the adrenal glands release the hormone epinephrine, thereby stimulating the sympathetic nervous system to ready the body for brief emergency activity. The adrenal glands also release the hormone cortisol, which increases blood glucose, provid- ing the body with extra energy, and the hormone aldosterone, important for maintaining blood salt and blood volume. To maintain energy for emergency activity, the body temporarily suppresses less urgent activities, such as sexual arousal.

During the second stage, resistance, the sympathetic re- sponse declines, but the adrenal glands continue secreting cortisol and other hormones that enable the body to maintain prolonged alertness. The body adapts to the prolonged situa- tion in whatever way it can, such as by decreasing activity to save energy. The body also has ways of adapting to prolonged cold or heat, low oxygen, and so forth.

STOP & CHECK 16. What function does cortisol play in the initial response to

stress? 17. How does McEwen’s definition of stress differ from Selye’s?

ANSWERS

16. Cortisol increases blood levels of glucose and there- fore makes more energy available. 17. Selye’s definition treated favorable and unfavorable changes as equally stressful. McEwen’s definition focuses on events that an individual considers threatening.

08202_ch11_ptg01.indd 376 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.3 Stress and Health 377

system, helping it fight illnesses (Benschop et al., 1995). How- ever, prolonged stress impairs immune activity and memory (Mika et al., 2012). To see why, we start with an overview of the immune system.

The Immune System The immune system consists of cells that protect the body against viruses, bacteria, and other intruders. The immune system is like a police force: If it is too weak, the “criminals” (viruses and bacteria) run wild and create damage. If it be- comes too strong and unselective, it starts attacking “law- abiding citizens” (the body’s own cells). When the immune system attacks normal cells, we call the result an autoim- mune disease. Myasthenia gravis and rheumatoid arthritis are examples of autoimmune diseases.

Leukocytes The primary components of the immune system are the leukocytes, commonly known as white blood cells. We dis- tinguish several types of leukocytes, including B cells, T cells, and natural killer cells (see Figure 11.22):

●● B cells, which mature mostly in the bone marrow, secrete antibodies, which are Y-shaped proteins that attach to particular antigens, just as a key fits a lock. Every cell has surface proteins called antigens (antibody-generator molecules), and you have your own unique antigens. The B cells recognize “self” antigens, but when they find an unfamiliar antigen, they attack the cell. This kind of attack defends the body against viruses and bacteria, but it also causes rejection of organ transplants from an incom- patible donor, unless physicians take special steps to minimize the attack. After the body has made antibodies against a particular intruder, it “remembers” the intruder and quickly builds more of the same kind of antibody if it encounters that intruder again.

●● T cells mature in the thymus gland. Several kinds of T cells attack intruders directly (without secreting antibod- ies), and some help other T cells or B cells to multiply.

●● Natural killer cells, another kind of leukocytes, attack tumor cells and cells that are infected with viruses. Whereas each B or T cell attacks a particular kind of for- eign antigen, natural killer cells attack all intruders.

In response to an infection, leukocytes and other cells produce small proteins called cytokines (e.g., interleukin-1, or IL-1) that combat infections. Cytokines also stimulate the vagus nerve and trigger the release of prostaglandins that cross the blood–brain barrier and stimulate the hypothala- mus to produce fever, sleepiness, lack of energy, lack of ap- petite, and loss of sex drive (Maier & Watkins, 1998; Saper, Romanovsky, & Scammell, 2012). Recall Selye’s observation that most illnesses produce similar symptoms, such as fever, loss of energy, and so forth. Here we see the explanation. As- pirin and ibuprofen decrease fever and other signs of illness by inhibiting prostaglandins.

Stress and the Hypothalamus- Pituitary-Adrenal Cortex Axis Stress activates two body systems. One is the sympathetic ner- vous system, which prepares the body for brief fight-or-flight emergency responses. The other is the HPA axis, consisting of the hypothalamus, pituitary gland, and adrenal cortex. Ac- tivation of the human hypothalamus induces the anterior pitu- itary gland to secrete adrenocorticotropic hormone (ACTH), which in turn stimulates the adrenal cortex to secrete cortisol, which enhances metabolic activity, elevates blood levels of sugar, and increases alertness (see Figure 11.21). Many researchers re- fer to cortisol as a “stress hormone” and use measurements of cortisol level as an indication of someone’s recent stress level. Compared to the autonomic nervous system, the HPA axis re- acts more slowly, but it dominates the response to prolonged stressors such as living with an abusive parent or spouse.

Stress that releases cortisol mobilizes the body’s energy to fight a difficult situation, but the results depend on amount and duration. Brief or moderate stress improves attention and memory formation, especially in the amygdala, which is im- portant for learning fears (Sapolsky, 2015). It improves per- formance on habitual skills and relatively simple tasks, but it impairs performance that requires complex, flexible thinking (Arnsten, 2015). Stress also enhances activity of the immune

Releasing factor

ACTH (through blood)

Cortisol

Anterior pituitary

Hypothalamus

Adrenal cortex

Figure 11.21 The hypothalamus-pituitary-adrenal cortex axis Stressful events increase secretion of the adrenal hormone cortisol, which elevates blood sugar and increases metabolism. These changes help the body sustain prolonged activity but at the expense of decreased immune system activity.

08202_ch11_ptg01.indd 377 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

378 CHAPTER 11 Emotional Behaviors

Effects of Stress on the Immune System The nervous system has more control than we might have guessed over the immune system. The study of this relation- ship, called psychoneuroimmunology, deals with how expe- riences alter the immune system and how the immune system in turn influences the central nervous system.

In response to a brief stressful experience, the nervous system activates the immune system to increase its produc- tion of natural killer cells and the secretion of cytokines. The elevated cytokine levels help combat infections, but they also trigger prostaglandins that reach the hypothalamus. Rats subjected to inescapable shocks show symptoms resem- bling illness, including sleepiness, decreased appetite, and elevated body temperature. The same is true for people who are under great stress (Maier & Watkins, 1998). Even view- ing extremely disgusting images can activate the immune system and raise body temperature (Stevenson et al., 2012). In short, if you have been under much stress and start to feel lethargy or other symptoms of illness, one possibility is that your symptoms are reactions to the stress, acting through the immune system.

A prolonged stress response produces symptoms similar to depression and weakens the immune system (Lim, Huang,

Note that these symptoms of illness are actually part of the body’s way of fighting the illness. Most people think of fe- ver and sleepiness as something the illness did to them, but in fact, fever and sleepiness are strategies that evolved for fight- ing the illness. As discussed in Chapter 9, a moderate fever helps fight many infections. Sleep and inactivity are ways of conserving energy so that the body can devote more energy to its immune attack against the intruders. Decreased appe- tite may be helpful by decreasing the need for activity, and by reducing blood glucose, the preferred fuel for many microor- ganisms (Saper et al., 2012).

Antigen

Bacteria trigger an inflammatory response

Bacteria enter through punctured skin

B cell attaches to a bacterium, leaving the bacterium’s antigen exposed

Helper T cell causes this B cell to divide

Some B cells become plasma cells that secrete antibodies specific to this antigen

Some B cells differentiate into memory cells prepared to attack the same antigen

Natural killer cells attack tumors and some other intruders, injecting chemicals that kill them

Circulating antibodies attach to the antigen and mark it for destruction

Secretions of cytokines

B cell

B memory

cells

Helper T cell

Tumor cell

Natural killer cell

Plasma cell

Figure 11.22 Immune system responses to a bacterial infection B cells bind to bacteria and produce antibodies against the bacteria. When a helper T cell attaches to the B cell, it stimulates the B cell to generate copies of itself, called B memory cells, that immunize the body against future invasions by the same kind of bacteria.

STOP & CHECK 18. What kind of cell releases cytokines? 19. What changes do prostaglandins stimulate?

ANSWERS

18. Leukocytes (white blood cells) release cytokines. 19. Prostaglandins stimulate the hypothalamus to pro- duce fever, decrease hunger, decrease sex drive, and increase sleepiness.

08202_ch11_ptg01.indd 378 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.3 Stress and Health 379

Coping with Stress Individuals vary in their reactions to a stressful experience as a result of genetic predispositions and previous experiences. Resilience—the ability to recover well from a traumatic ex- perience—correlates with strong social support, an optimistic viewpoint, and reappraisal of difficult situations. Those fac- tors in turn correlate with the ability to rapidly activate the stress response and then rapidly deactivate it (Horn, Charney, & Feder, 2016). Successfully coping with moderately stressful events prepares one to cope with later events, although a his- tory of severely adverse events leaves one too exhausted to re- sist (Seery, Leo, Lupien, Kondrak, & Almonte, 2013).

The ways to control stress responses include special breathing routines, exercise, meditation, and distraction, as well as, of course, trying to deal with the problem that caused the stress. Social support is one of the most powerful meth- ods of coping with stress. People who receive more frequent hugs have a lower risk of infection (Cohen, Janicki-Deverts, Turner, & Doyle, 2015). People who feel rejected have an in- creased risk (Murphy, Slavich, Chen, & Miller, 2015). After death of a spouse, older people have a greatly increased risk of heart attack or stroke for the next several months (Carey et al., 2014). In one study, happily married women were given moderately painful shocks to their ankles. On various tri- als, they held the hand of their husband, a man they did not know, or no one. Holding the husband’s hand reduced the response indicated by fMRI in several brain areas, including the prefrontal cortex. Holding the hand of an unknown man reduced the response a little, on the average, but not as much as holding the husband’s hand (Coan, Schaefer, & Davidson, 2006). As expected, the brain responses corresponded to people’s self-reports that social support from a loved one helps reduce stress.

Resilience is not easy to investigate. Ideally, we would want to study a large number of physically and mentally healthy people before, during, and after a series of highly stressful experiences, and compare them to similar people who faced less stress. And we would want to be sure we could keep track of each person’s whereabouts over sev- eral years. It sounds like an impossibly difficult task, and it would be, for anyone except for the military. In 2009, the U.S. Army began a study of healthy young people entering military service, many of whom would be exposed to serious stress over the next few years. The army is superb at keep- ing track of where every soldier is at all times, and it can guarantee to do follow-up studies on each participant. The preliminary results suggest that the risk factors are similar to those previously identified in civilian populations, such as feeling depressed (Ursano et al., 2016). The army is continu- ing the study.

Grueter, Rothwell, & Malenka, 2012; Segerstrom & Miller, 2004). A likely hypothesis is that prolonged increase of cor- tisol directs energy toward increasing metabolism and there- fore detracts energy from synthesizing proteins, including the proteins of the immune system. For example, in 1979, at the Three Mile Island nuclear power plant, a major accident was barely contained. The people who continued to live in the vicinity during the next year had lower than normal levels of B cells, T cells, and natural killer cells. They also complained of emotional distress and showed impaired performance on a proofreading task (Baum, Gatchel, & Schaeffer, 1983; McKinnon, Weisse, Reynolds, Bowles, & Baum, 1989). A study of research scientists in Antarctica found that a 9-month period of cold, darkness, and social isolation reduced T cell functioning to about half of normal levels (Tingate, Lugg, Muller, Stowe, & Pierson, 1997).

In one study, 276 volunteers filled out an extensive ques- tionnaire about stressful life events and then received an injection of a moderate dose of common cold virus. The hy- pothesis was that those with the strongest immune responses could fight off the cold, but others would succumb. People who reported brief stressful experiences were at no more risk for catching a cold than were people who reported no stress. However, for people who reported stress lasting longer than a month, the longer it lasted, the greater the risk of illness (S. Cohen et al., 1998).

Prolonged stress can also harm the hippocampus. Cor- tisol resulting from stress increases metabolic activity in the hippocampus, making its cells more vulnerable to damage by toxic chemicals or overstimulation (Sapolsky, 1992). Rats exposed to high stress—such as being restrained in a mesh wire retainer for 6 hours a day for 3 weeks—show shrinkage of dendrites in the hippocampus and impairments in the kinds of memory that depend on the hippocampus (Kleen, Sitomer, Killeen, & Conrad, 2006).

STOP & CHECK 20. How do the effects of stress mimic the effects of illness? 21. How does prolonged stress damage the hippocampus?

ANSWERS

20. Stress increases release of cytokines, which commu- nicate with the hypothalamus via prostaglandins. The hypothalamus reacts with the same responses it uses to combat illness, such as inactivity and loss of appetite. 21. Stress increases the release of cortisol, which enhances metabolic activity throughout the body. When neurons in the hippocampus have high metabolic activity, they become more vulnerable to damage by toxins or overstimulation.

08202_ch11_ptg01.indd 379 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

380 CHAPTER 11 Emotional Behaviors

Emotions and Body Reactions

Research on stress and health provides an interesting kind of closure. Decades ago, Hans Selye argued that any stressful event leads to the general adaptation syndrome, marked by fever and other signs of illness. We now see why: The body reacts to prolonged stress by activating the adrenal cortex and the immune system, and the resulting increase in cytokines

produces the same reactions that an infection would. Research has also improved our understanding of the predispositions behind post-traumatic stress disorder and makes it possible to foresee a new era of advances in psychosomatic medicine. Emotional states, which once seemed too ephemeral for scien- tific study, are now part of mainstream biology.

Module 11.3 In Closing

Summary 1. Hans Selye introduced the idea of the general adaptation

syndrome, which is the way the body responds to all kinds of illness and stress. 376

2. Stress is difficult to define. Because people apply the term to a wide range of major and minor experiences, research results about stress are highly variable. 376

3. Stress immediately activates the sympathetic nervous system and more slowly activates the hypothalamus- pituitary-adrenal cortex axis. The adrenal cortex releases cortisol, which increases metabolism. 377

4. Although brief stress enhances the immune response and facilitates memory formation, prolonged stress drains the body of the resources it needs for other purposes. 377

5. Stress activates the immune system, helping to fight viruses and bacteria. The immune system releases cytokines, which stimulate the hypothalamus by releas- ing prostaglandins, which cross the blood–brain barrier. The hypothalamus reacts by activities to combat ill- ness, including sleepiness, fever, and loss of appetite and energy. 378

6. Because stress causes release of cytokines, it can also lead to lethargy and other symptoms that resemble those of illness. 378

7. The high cortisol levels associated with prolonged stress damages cells in the hippocampus, thereby impairing memory. 379

8. People vary in their resilience to stress, based on genetics, social support, and previous experiences. 379

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

adrenocorticotropic hormone (ACTH) 377

antibodies 377 antigens 377 behavioral medicine 376

cortisol 376 cytokine 377 general adaptation syndrome 376 HPA axis 377 immune system 377

leukocyte 377 prostaglandins 377 psychoneuroimmunology 378 resilience 379 stress 376

If someone were unable to produce cytokines, what would be the consequences?

Thought Question

Module 11.3 End of Module Quiz

1. Which hormone does the alarm stage release, but the resistance stage does not? A. Cortisol B. ACTH

C. Epinephrine D. Testosterone

08202_ch11_ptg01.indd 380 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

11.3 Stress and Health 381

2. How do the functions of the HPA axis compare to those of the sympathetic nervous system? A. The sympathetic nervous system readies the body

for brief, vigorous action, and the HPA axis controls digestion and other vegetative activities.

B. The sympathetic nervous system activates the brain, and the HPA axis activates the rest of the body.

C. The sympathetic nervous system readies the body for brief, vigorous action, and the HPA axis prepares the body for prolonged coping with a persistent stressor.

D. The sympathetic nervous system is active during a stressful situation, and the HPA axis becomes active at the end of the stressful situation.

3. How does McEwen’s definition of stress differ from Selye’s? A. Selye’s definition applied only to severe stress. B. Selye’s definition applied equally to favorable or unfa-

vorable events.

C. Selye’s definition applied only to laboratory animals. D. Selye’s definition applied only to humans.

4. Which cells of the immune system secrete antibodies? A. Natural killer cells only B. T cells only

C. B cells only D. Natural killer cells, T cells, and B cells equally

5. Why do nearly all infections produce similar symptoms, such as fever, sleepiness, and loss of energy? A. Every infection damages the body’s ability to maintain

body temperature and overall activity. B. “Sickness behaviors” are an effective way for a sick

person to gain sympathy and help.

C. Infectious particles clog the arteries, making it dif- ficult for other chemicals to reach their targets.

D. The immune system sends prostaglandins to the brain, where they stimulate the hypothalamus to produce these effects.

6. What are the effects of stress on the immune system? A. All stressful experiences impair the immune

system. B. Brief stress activates the immune system, but pro-

longed stress weakens it.

C. Brief stress weakens the immune system, but pro- longed stress strengthens it.

D. All stressful experiences strengthen the immune system.

7. Prolonged stress is known to damage which brain area? A. The visual cortex B. The hippocampus

C. The cerebellum D. The corpus callosum

8. Which of these increases resilience? A. Unpredictability of events B. Social support

C. Previous severely stressful experiences D. Breathing carbon dioxide

Answers: 1C, 2C, 3B, 4C, 5D, 6B, 7B, 8B.

Damasio, A. (1999). The feeling of what happens. New York: Harcourt Brace. A neurologist’s account of the connec- tion between emotion and consciousness, full of interesting examples.

Frazzetto, G. B. (2013). Joy, guilt, anger, love. New York: Penguin Books. Insightful description of emotional experi- ences, with reference to relevant neurological studies.

McEwen, B. S., with Lasley, E. N. (2002). The end of stress as we know it. Washington, DC: Joseph Henry Press. Readable review by one of the leading researchers.

Pfaff, D. W. (2007). The neuroscience of fair play. New York: Dana Press. Exploration of how the physiology of emotions, especially the amygdala, relates to moral behavior.

Suggestions for Further Reading

08202_ch11_ptg01.indd 381 9/14/17 10:47 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch12_ptg01.indd 382 9/14/17 10:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

383

Suppose you type something on your computer and then save it. A year later, you come back, click the correct file name, and retrieve what you wrote. How did the computer remember what to do?

That question has two parts: First, how do the physical properties of sili-

con chips enable them to alter their properties when you type certain keys?

Second, how does the wiring diagram take the changes in individual silicon

chips and convert them into a useful activity?

Similarly, when we try to explain how you remember some experience,

we deal with two questions: First, how does a pattern of sensory information

alter the input–output properties of certain neurons? Second, after neurons

change their properties, how does the nervous system produce the behavioral

changes that we call learning or memory?

In the first two modules of this chapter we consider how the various brain

areas interact to produce learning and memory. In the third module, we turn

to the detailed physiology of how experience changes neurons and synapses.

In the final module, we consider the elusive concept of intelligence and how it

relates to brain mechanisms.

Module 12.1

Learning, Memory, and Memory Loss Localized Representations of Memory Types of Memory Memory Loss In Closing: Memory and Forgetting

Module 12.2

The Hippocampus and the Striatum Memory Loss after Damage to the

Hippocampus Navigation The Striatum Other Brain Areas and Memory In Closing: Brain Damage and Memory

Module 12.3

Storing Information in the Nervous System Blind Alleys and Abandoned Mines Learning and the Hebbian Synapse Single-Cell Mechanisms of Invertebrate

Behavior Change Long-Term Potentiation in Vertebrates Improving Memory In Closing: The Physiology of Memory

Module 12.4

Intelligence Brain Size and Intelligence Genetics and Intelligence Brain Evolution In Closing: Why Are We So Intelligent?

Chapter 12 Learning, Memory, and Intelligence

Chapter Outline

After studying this chapter, you should be able to:

1. Distinguish among types of memory. 2. Define engram, and describe research to

localize an engram. 3. Discuss types of amnesia. 4. Contrast the functions of the hippocam-

pus and the striatum. 5. Define Hebbian synapses. 6. Explain the mechanism of long-term

potentiation. 7. Discuss the relationships among brain

anatomy, genetics, and intelligence.

Learning Objectives

Opposite:

Learning produces amazingly complex behaviors. (VectorLifestylepic/Shutterstock.com)

08202_ch12_ptg01.indd 383 9/14/17 10:52 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

384

Module 12.1

Learning, Memory, and Memory Loss

Suppose you lost your ability to form memories. You are aware of the present but you forget your experience from even a moment ago. You feel as if you just awakened from a deep sleep. So you write on a sheet of paper, “Just now, for the first time, I have suddenly become conscious!” A little later, you forget this experience, too. As far as you can tell, you have just now emerged into consciousness after a long sleeplike period. You look at this sheet of paper on which you wrote about becoming conscious, but you don’t remember writing it. How odd! You must have written it when in fact you were not conscious! Irritated, you cross off that statement and write anew, “NOW I am for the first time conscious!” And a min- ute later, you cross that one off and write it again. Eventually, someone finds this sheet of paper on which you have repeat- edly written and crossed out statements about suddenly feel- ing conscious for the first time.

Sound far-fetched? It really happened to a patient who developed severe memory impairments after encephalitis damaged his temporal cortex (Wilson, Baddeley, & Kapur, 1995). Life without memory means no sense of existing across time. Your memory is almost synonymous with your sense of self.

Localized Representations of Memory Psychologists have traditionally distinguished two catego- ries of learning, classical and instrumental conditioning. The Russian physiologist Ivan Pavlov pioneered the inves- tigation of what we now call classical conditioning (see Figure 12.1a), in which pairing two stimuli changes the re- sponse to one of them (Pavlov, 1927). The experimenter starts by presenting a conditioned stimulus (CS), which initially elicits no response of note, and then presents the unconditioned stimulus (UCS), which automatically elicits the unconditioned response (UCR). After some pairings of the CS and the UCS (perhaps just one or two, perhaps many), the individual begins making a new, learned response to the CS, called a conditioned response (CR). In his original exper- iments, Pavlov presented a dog with a sound (CS) followed by meat (UCS), which stimulated the dog to salivate (UCR). After many such pairings, the sound alone (CS) stimulated the dog to salivate (CR). In that case and many others, the CR resembles

the UCR, but in some cases, it does not. For example, if a rat experiences a CS paired with shock, the shock elicits scream- ing and jumping, but the CS elicits a freezing response.

In instrumental conditioning (also known as operant conditioning), a response leads to a reinforcer or punishment (see Figure 12.1b). A reinforcer is any event that increases the future probability of the response. A punishment is an event that suppresses the frequency of the response. For example, when a rat enters one arm of a maze and finds Froot Loops ce- real (a treat that rats seem to love), the rat increases its proba- bility of entering that arm at future opportunities. If it receives a shock instead, the probability decreases. The primary differ- ence between classical and instrumental conditioning is that in instrumental conditioning the individual’s response deter- mines the outcome (reinforcer or punishment), whereas in classical conditioning the CS and UCS occur at certain times regardless of the individual’s behavior. The behavior is useful, however, in preparing for the UCS.

Some cases of learning are difficult to label as classical or instrumental. For example, after a male songbird hears the song of his own species during his first few months, he imitates it the following year. The song that he heard was not paired with any other stimulus, so it doesn’t look like classi- cal conditioning. He learned the song without reinforcers or punishments, so we cannot call it instrumental conditioning either. That is, animals have specialized methods of learning other than classical and instrumental conditioning. Also, the way animals (including people) learn varies from one situation to another. In most situations, learning occurs only if the CS and UCS, or response and reinforcer, occur close together in time. But if you eat something, especially something unfamil- iar, and get sick later, you learn a strong aversion to the taste of that food, even if taste and illness are separated by hours (Rozin & Kalat, 1971; Rozin & Schull, 1988).

Lashley’s Search for the Engram What happens in the brain when you learn something? Pav- lov proposed the simple hypothesis that classical condition- ing reflects a strengthened connection between a CS center and a UCS center in the brain. That strengthened connection lets any excitation of the CS center flow to the UCS center,

08202_ch12_ptg01.indd 384 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.1 Learning, Memory, and Memory Loss 385

evoking a response just like the unconditioned response (see Figure 12.2). We now know that this hypothesis does not fit all behavioral observations. As mentioned, if a signal predicts shock, a rat does not react to the signal as if it were a shock. However, psychologists of an earlier era were unaware of

such observations and considered Pavlov’s hypothesis plau- sible. Karl Lashley set out to test it. Lashley was searching for the engram—the physical representation of what has been learned. A connection between two brain areas would be a possible example of an engram.

Unconditioned response (UCR)

Conditioned stimulus (CS)

Unconditioned stimulus (UCS)

Salivation

Conditioned response (CR)

Salivation

Automatically elicits

Food

At �rst

(a) Classical conditioning

(b) Instrumental conditioning

Followed by

Conditioned stimulus (CS)

Response: Rat enters one arm of the maze

Reinforcement

Froot Loops

Increased probability of same response

Shift to different response

Shock

Punishment

After some number of repetitions

Figure 12.1 Classical conditioning and instrumental conditioning (a) In classical conditioning, two stimuli (CS and UCS) are presented at certain times regardless of what the learner does. (b) In instrumental conditioning, the learner’s behavior controls the presentation of reinforcer or punishment.

08202_ch12_ptg01.indd 385 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

386 CHAPTER 12 Learning, Memory, and Intelligence

the cortex. The lesions impaired performance, but the deficit depended more on the amount of brain damage than on its location. Apparently all cortical areas were about equally im- portant for learning and memory. Lashley therefore proposed two principles about the nervous system:

●● equipotentiality—all parts of the cortex contribute equally to complex behaviors such as learning, and any part of the cortex can substitute for any other.

●● mass action—the cortex works as a whole, and more cortex is better.

Note, however, another interpretation of Lashley’s results: Maze learning and visual discrimination learning are complex tasks in which a rat attends to visual and tactile stimuli, the lo- cation of its body, the position of its head, and other available cues. Although many brain areas contribute to the learning, they are not necessarily contributing in the same way.

Eventually, researchers found that Lashley’s conclusions rested on unnecessary assumptions: (a) that the cerebral cor- tex is the best or only place to search for an engram, and (b) that studying one example of learning is just as good as study- ing any other one. As we shall see, investigators who discarded these assumptions reached different conclusions.

The Modern Search for the Engram Richard F. Thompson and his colleagues used a simpler task than Lashley’s and sought the engram of memory not in the cerebral cortex but in the cerebellum. Thompson and colleagues studied classical conditioning of eyelid responses in rabbits. They pre- sented first a tone (CS) and then a puff of air (UCS) to the cornea of the rabbit’s eye. At first, a rabbit closed its eye in response to the air puff but not to the tone. After repeated pairings, clas- sical conditioning occurred and the rabbit blinked at the tone also. Investigators recorded the activity in various brain cells to determine which ones changed their responses during learning.

Thompson set out to determine the location of learning. Imagine a sequence of brain areas from the sensory receptors to the motor neurons controlling the muscles:

Lashley reasoned that if learning depends on new or strengthened connections between brain areas, a knife cut somewhere in the brain should interrupt that connection and abolish the learned response. He trained rats on mazes and a brightness discrimination task and then made deep cuts in varying locations in their cerebral cortices (Lashley, 1929, 1950) (see Figure 12.3). However, no knife cut significantly impaired the rats’ performances. Evidently, the types of learning that he studied did not depend on connections across the cortex.

Lashley also tested whether any portion of the cerebral cortex is more important than others for learning. He trained rats on mazes before or after he removed large portions of

CS

CS

UCS

UCS

UCR

(a)

UCR

(b)

Figure 12.2 Pavlov’s proposal to explain learning (a) Initially, the UCS excites the UCS center, which excites the UCR center. The CS excites the CS center, which elicits no response of interest. (b) After training, excitation in the CS center flows to the UCS center, thus eliciting the same response as the UCS.

Karl S. Lashley (1890–1958) Psychology is today a more fundamental science than neurophysiology. By this I mean that the latter offers few principles from which we may predict or define the normal organization of behavior, whereas the study of psychological processes fur- nishes a mass of factual material to which the laws of nervous action in behavior

must conform. (Lashley, 1930, p. 24)

M cG

ra w

-H ill

E du

ca tio

n

Figure 12.3 View of rat brain from above, showing cuts that Lashley made in various rats No cut or combination of cuts interfered with a rat’s memory of a maze. (Source: Adapted from Lashley, 1950)

08202_ch12_ptg01.indd 386 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.1 Learning, Memory, and Memory Loss 387

Types of Memory Finding an engram for certain types of classical conditioning is an important accomplishment, but finding an engram for everyday memories is more challenging (Eichenbaum, 2016). For much of the 20th century, most psychologists assumed that all memory was the same. If so, they could study it with any convenient example, such as memorization of nonsense syllables, just as physicists can measure gravity by dropping any convenient object. Eventually, psychologists began to draw distinctions between one type of memory and another.

Short-Term and Long-Term Memory Donald Hebb (1949) reasoned that no one mechanism could account for all the phenomena of learning. You can immedi- ately repeat something you just heard, so it is clear that some memories form quickly. Old people can recall events from their childhood, so we also see that some memories last per- manently. Hebb could not imagine a chemical process that is fast enough to account for immediate memory yet stable enough to provide permanent memory. He therefore proposed a distinction between short-term memory of events that have just occurred and long-term memory of events from further back. Several types of evidence supported this idea:

●● Short-term memory and long-term memory differ in their capacity. If you hear a series of unrelated numbers or letters, such as DZLAUV, you can probably repeat no more than about seven of them, and with other kinds of material, your maximum is even less. You can hold a vast amount of information in long-term memory.

If we damage any one of those areas, learning will be impaired, but we cannot be sure that learning occurred in the damaged area. For example, if the learning occurs in area D, damage in A, B, or C will prevent learning by blocking the input to D. Damage in E or F will prevent learning by blocking the out- put from D. Thompson and colleagues reasoned as follows: Suppose the learning occurs in D. If so, then D has to be active at the time of the learning, and so do all the areas leading up to D (A, B, and C). However, learning should not require areas E and beyond. If area E were temporarily blocked, nothing would relay information to the muscles, so we would see no response, but learning could occur nevertheless, and we could see evidence of it later.

Thompson’s research identified one nucleus of the cer- ebellum, the lateral interpositus nucleus (LIP), as essential for learning. At the start of training, those cells showed little response to the tone, but as learning proceeded, their re- sponses increased (Thompson, 1986). When the investigators temporarily suppressed that nucleus in an untrained rabbit, either by cooling the nucleus or by injecting a drug into it, and then presented the CSs and UCSs, the rabbit showed no responses during the training. Then they waited for the LIP to recover and continued training. At that point, the rabbit began to learn, but it learned at the same speed as animals that had received no previous training. Evidently, while the LIP was suppressed, the training had no effect.

But does learning actually occur in the LIP, or does this area just relay the information to a later area where learning occurs? In the next experiments, investigators suppressed activity in the red nucleus, a midbrain motor area that receives input from the cerebellum. When the red nucleus was suppressed, the rabbits again showed no responses during training. However, as soon as the red nucleus had recovered from the cooling or drugs, the rabbits immediately showed strong learned responses to the tone (Clark & Lavond, 1993; Krupa, Thompson, & Thompson, 1993). In other words, suppressing the red nucleus temporarily prevented the response but did not prevent learning. Evidently, learning did not require activity in the red nucleus or any area after it. Thompson and his colleagues concluded that the learn- ing occurred in the LIP. How did they know that learning didn’t depend on some area before the LIP? If it did, then suppressing the LIP would not have prevented learning. Figure 12.4 sum- marizes these experiments. This research made it possible for other researchers to explore the mechanisms in more detail, identifying the cells and neurotransmitters responsible for this particular example of an engram (Freeman, 2015).

The mechanisms for this type of conditioning are the same in many species, ranging from goldfish (Gomez et al., 2016) to humans. People who have damage in the cerebellum show either no conditioned eyeblinks (Daum et al., 1993) or only weak, inaccurately timed ones (Gerwig et al., 2005). How- ever, they report that they know the stimulus predicts a puff of air to the eyes, and they do show a classically conditioned

A B C D E F

STOP & CHECK 1. Thompson found a localized engram, whereas Lashley did

not. What key differences in procedures or assumptions were probably responsible for their different results?

2. What evidence indicates that the red nucleus is necessary for performance of a conditioned response but not for learning the response?

ANSWERS

1. Thompson studied a different, simpler type of learning. Also, he looked in the cerebellum instead of the cerebral cortex. 2. If the red nucleus is inactivated during training, the animal makes no conditioned responses during the training, so the red nucleus is necessary for the response. However, as soon as the red nucleus recovers, the animal can show conditioned responses at once, without any further training, so learning occurred while the red nucleus was inactivated.

change in skin conductance (Daum et al., 1993). Damage to the cerebellum impairs learning only when a discrete response needs to be made with precise timing (Poulos & Thompson, 2015). As mentioned in Chapter 7, the cerebellum is special- ized for timing brief intervals.

08202_ch12_ptg01.indd 387 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

388 CHAPTER 12 Learning, Memory, and Intelligence

B, which excites neuron C, which then reexcites neuron A. Hebb further proposed that storing something in short-term memory for a sufficient period of time made it possible for the brain to consolidate (strengthen) it into long-term mem- ory, presumably by building new synapses or other structural changes. If anything interrupted the rehearsal of short-term memory before consolidation completed its course, the infor- mation was simply lost.

Our Changing Views of Consolidation Later studies made the distinction between short-term and long-term memory increasingly problematic. First, many short-term memories are not simply temporary stores on their way to being long-term memories. When you watch a soccer or hockey match, you remember the score until it

●● Short-term memory requires rehearsal. If you read the letter sequence DZLAUV and then something distracts you, your chance of repeating the letters declines rapidly (Peterson & Peterson, 1959). You can reconstruct long- term memories that you haven’t thought about in years, although your recall might not be 100 percent accurate.

●● Once you have forgotten something from short-term memory, it is lost. With long-term memory, a hint might help you reconstruct something you thought you had forgotten. For example, try naming all your high school teachers. After you have named all you can, you can name still more if someone shows you photos and tells you the teachers’ initials.

Hebb suggested that we might store short-term memories by a reverberating circuit, in which neuron A excites neuron

1Session 2 3 4 5 6

Responses in intact animal

1Session 2 3 4 5 6

100

80

60 40

20 0

100

80

60 40

20 0

100

80

60 40

20 0

100

80

60 40

20 0

100

80

60 40

20 0

Responses while LIP is suppressed

1Session 2 3 4

Responses after LIP recovers activity

1Session 2 3 4 5 6

Responses while red nucleus is suppressed

1Session 2 3 4

Responses after red nucleus recovers activity

Cerebral cortex

Corpus callosum

Thalamus

Lateral interpositus nucleus of cerebellum

Red nucleus Sixth cranial nerve, controlling the nictitating membrane (part of the rabbit’s system of eyelids)

% CRs % CRs

% CRs % CRs % CRs

Figure 12.4 Localization of an engram Temporarily inactivating the lateral interpositus nucleus blocked all indications of learning. After the inactivation wore off, the rabbits learned as slowly as rabbits with no previous training. Temporarily inactivating the red nucleus blocked responses during the period of inactivation, but the learned response appeared as soon as the red nucleus recovered. (Source: Based on the results of Clark & Lavond, 1993; Krupa, Thompson, & Thompson, 1993)

08202_ch12_ptg01.indd 388 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.1 Learning, Memory, and Memory Loss 389

become active depending on the direction the eye movement will need to take (Chafee & Goldman-Rakic, 1998; Constan- tinidis & Klingberg, 2016).

If someone touched you on a finger and you had to re- member which finger during a delay, you might simply extend that finger throughout the delay. Similarly, we might expect the brain to remember a stimulus by constant activity in one group of cells throughout the delay. However, it does not work exactly that way. Monkeys learned a task in which they saw colored squares and remembered them during a delay. When they saw squares again in the same positions, the monkeys had to respond to the one that had changed color. The initial pre- sentation of the squares evoked bursts of gamma oscillations (45 to 100 Hz) in cells responsive to the colors and locations. During the delay, occasional gamma bursts occurred in these same cells at staggered times. No individual cell remained active during the delay. Then more frequent gamma bursts emerged at the time of the test. In short, the memory was dis- tributed over many cells in an alternating pattern (Lundqvist et al., 2016).

changes, perhaps an hour later. If you park your car, you re- member its location until you come back to get it, perhaps hours later, maybe even days later. Holding onto a memory for a long enough time does not automatically turn it into a permanent memory.

Furthermore, consolidation isn’t what we used to think it was. The original idea was that the brain held onto some- thing in short-term memory until it could synthesize new proteins that establish a long-term memory (Canal & Gold, 2007). However, the time needed for consolidation varies enormously. If you are trying to memorize facts that you con- sider boring and useless, you might struggle for hours. But if someone warns you about the venomous snake that got loose in your dormitory, you won’t have to repeat it over and over or write flash cards to remember it. Emotionally significant memories form quickly. In fact, if some event is extremely arousing—your first kiss, perhaps, or the moment when you heard about some tragedy—you remember not only the event itself, but those just before and after it. Psychologists call these experiences “flashbulb memories,” as if a mental flashbulb il- luminated everything for a moment. The physiological expla- nation is that highly emotional experiences arouse the locus coeruleus, which increases norepinephrine release through- out the cortex and dopamine release in the hippocampus (Takeuchi et al., 2016). Emotional experiences also increase the secretion of epinephrine and cortisol that activate the amygdala and hippocampus (Cahill & McGaugh, 1998; Murty, LaBar, & Adcock, 2012). The point is that consolidation de- pends on more than the time necessary to synthesize some new proteins.

Flashbulb memories have a further aspect: Suppose you are driving on a snowy day and you skid on a slippery patch. Ordinarily, you would forget this minor scare quickly. How- ever, a minute later you skid on a second slippery patch and wreck your car. Now you form a long-term memory of not only the accident but also the earlier slip. Researchers call this the “synaptic tag-and-capture” process: Your brain tags a weak new memory for later stabilization if a similar, more important event soon follows it (Dunsmoor, Murty, Davichi, & Phelps, 2015).

Working Memory To replace the concept of short-term memory, A. D. Baddeley and G. J. Hitch (1994) introduced the term working memory to refer to the way we store information while we are work- ing with it. A common test of working memory is the delayed response task, in which you respond to something that you saw or heard a short while ago. Imagine that while you stare at a central fixation point, a light flashes briefly at some point toward the periphery. You stare at that central point for a few seconds until you hear a beep, and then you are sup- posed to look to where you remember seeing the light. This task can be modified for use with monkeys and other species. During the delay, the learner has to store a representation of the stimulus. During the delay, certain cells in the prefrontal and parietal cortex increase their activity, and different cells

STOP & CHECK 3. Why should we conclude that consolidation depends on more

than just holding a short-term memory long enough for pro- tein synthesis?

4. What mechanism causes flashbulb memories? 5. How does the cortex store a working memory during a delay?

ANSWERS

3. People can store some memories for hours or days without forming a permanent memory, whereas they form emotionally important memories quickly. 4. Emotionally exciting memories stimulate the locus coeruleus, which increases norepinephrine throughout the cortex and dopamine to the hippocampus. Emotional excitement also increases epinephrine and cortisol, which activate the amygdala and hippocampus. 5. Occasional bursts of gamma oscillations (45 to 100 Hz) occur in cells that responded to a stimulus, but the bursts alternate among cells instead of persisting throughout the delay in any one cell.

Memory Loss In many cases, forgetting is a “feature,” not a “bug” (Nørby, 2015). Forgetting the details of several similar experiences helps you abstract the important common features. Forgetting where you parked your car last week or where you met your sister for lunch last month helps you remember where you parked today and where you plan to meet for lunch tomorrow. Also, as your memory of an unpleasant event begins to fade, you start to feel better.

However, you do not want to forget important or current information. Amnesia is memory loss. One patient ate lunch and, 20 minutes later, ate a second lunch, apparently having for- gotten the first meal. Another 20 minutes later, he started on a third lunch and ate most of it. A few minutes later, he said he

08202_ch12_ptg01.indd 389 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

390 CHAPTER 12 Learning, Memory, and Intelligence

Almost everyone learns better the second way. Completing the sentences forces you to be more active and calls your at- tention to the items you have not yet learned. Patients with Korsakoff ’s, however, learn better the first way, by reading the list over and over. The reason is, when they test themselves, they confabulate. (“Medicine cured headache. Tourist desired passport.”) Then they remember their confabulation instead of the correct answer (Hamann & Squire, 1995).

Alzheimer’s Disease One of the most common causes of memory loss, especially in old age, is Alzheimer’s (AHLTZ-hime-ers) disease. Daniel Schacter (1983) reported playing golf with an Alzheim- er’s patient who remembered the rules and jargon of the game correctly but kept forgetting how many strokes he took. Five times he teed off, waited for the other player to tee off, and then teed off again, having forgotten his first shot. As with other amnesic patients, patients with Alzheimer’s learn pro- cedural skills better than facts. They learn new skills but then surprise themselves with their good performance because they don’t remember doing it before (Gabrieli, Corkin, Mickel, & Growdon, 1993). Their memory fluctuates from time to time, suggesting that part of their problem results from a loss of alertness or arousal (Palop, Chin, & Mucke, 2006).

Alzheimer’s disease gradually progresses to more serious memory loss, confusion, depression, restlessness, hallucina- tions, delusions, sleeplessness, and loss of appetite. It becomes more common with age, affecting almost 5 percent of people between ages 65 and 74 and almost half of people over 85 (Evans et al., 1989). Given that more people than ever are sur- viving into old age, Alzheimer’s is an increasing problem.

The first major clue to the cause of Alzheimer’s was the fact that people with Down syndrome (a condition generally linked to cognitive impairments) almost invariably get Alzheimer’s disease if they survive into middle age (Lott, 1982). People with Down syndrome have three copies of chromosome 21 rather than the usual two. That fact led investigators to examine chro- mosome 21, where they found a gene linked to many cases of early-onset Alzheimer’s disease (Goate et al., 1991; Murrell, Farlow, Ghetti, & Benson, 1991). Later researchers found two more genes linked to early-onset Alzheimer’s. In this case, “early” means before age 60. For the much more common late-onset condition, many genes increase or decrease the risk, but none has a large effect (Alagiakrishnan, Gill, & Fagarasanu, 2012). Many late-onset cases relate to epigenetic changes in certain genes (De Jager et al., 2014; Lunnon et al., 2014).

The genes controlling early-onset Alzheimer’s disease cause a protein called amyloid-β to accumulate inside and outside neurons and spread from cell to cell (Riek & Eisenberg, 2016). The protein damages axons and dendrites, decreases synaptic input, and decreases plasticity (Wei, Nguyen, Kessels, Hagiwara, Sisodia, & Malinow, 2010). The damaged axons and dendrites cluster into structures called plaques that damage the cerebral cortex, hippocampus, and other areas, as Figures 12.5 through 12.7 show (Scheibel, 1983; Selkoe, 2000).

would like to “go for a walk and get a good meal” (Rozin, Dow, Moscovitch, & Rajaram, 1998). Other patients with amnesia also forget that they have just eaten, although when they start to eat again, they remark on not enjoying the food as much as usual (Higgs, Williamson, Rotshtein, & Humphreys, 2008).

However, even in severe cases like these, no one loses all kinds of memory equally. People who might forget eating lunch a few minutes ago would probably still remember how to eat with a knife and fork, and which foods they like or dis- like. Studies on amnesia shed light on some of the mechanisms of memory. Here we briefly consider Korsakoff ’s syndrome and Alzheimer’s disease, and then the phenomenon of infant amnesia. The second module will consider amnesia resulting from damage to the hippocampus.

Korsakoff’s Syndrome Korsakoff’s syndrome, also known as Wernicke-Korsakoff syndrome, is brain damage caused by prolonged thiamine de- ficiency. The brain needs thiamine (vitamin B1) to metabolize glucose, its primary fuel. Severe thiamine deficiency is com- mon among people with severe alcoholism who go for weeks at a time on a diet of nothing but alcoholic beverages, lacking in vitamins. Prolonged thiamine deficiency leads to a loss or shrinkage of neurons throughout the brain, especially in the dorsomedial thalamus, the main source of input to the pre- frontal cortex. The symptoms of Korsakoff ’s syndrome are similar to those of people with damage to the prefrontal cor- tex, including apathy, confusion, and memory loss.

A distinctive symptom of Korsakoff ’s syndrome is confabulation, in which patients fill in memory gaps with guesses. (Some patients with other disorders also confabu- late.) They seldom confabulate on semantic questions such as “What is the capital of Russia?” or nonsense questions such as “Who is Princess Lolita?” They confabulate mainly about their own lives, such as “What did you do last weekend?” (Borsutzky, Fujiwara, Brand, & Markowitsch, 2008; Schnider, 2003). Often, the confabulated answer was true at some time in the past but not now, such as, “I went dancing,” or “I vis- ited with my children,” but sometimes the confabulation is fanciful and implausible. Occasionally, patients try to act on their spontaneous confabulations, such as trying to leave the hospital to go to work, go to the airport, or prepare dinner for guests (Nahum, Bouzerda-Wahlen, Guggisberg, Ptak, & Schnider, 2012). Most confabulated answers are more pleas- ant than the currently true answers (Fotopoulou, Solms, & Turnbull, 2004), perhaps merely because the patient’s past life was, on the whole, more pleasant than the present.

The tendency to confabulate produces a fascinating influ- ence on the strategies for studying. Suppose you have to learn a long list of three-word sentences such as: “Medicine cured hiccups” and “Tourist desired photograph.” Would you simply reread the list many times? Or would you alternate between reading the list and testing yourself?

Medicine cured _____________________________ Tourist desired _____________________________.

08202_ch12_ptg01.indd 390 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.1 Learning, Memory, and Memory Loss 391

cannot bind to its usual targets within axons, and so it starts spreading into the cell body and dendrites. The areas of cell damage in the brain correlate better with tau levels than with amyloid-b levels (Musiek & Holtzman, 2015). The altered tau is principally responsible for tangles, structures formed from degeneration within neurons (see Figure 12.7).

At this point, no drug is highly effective for Alzheimer’s disease. A possible explanation is that by the time physicians recognize Alzheimer’s disease, the damage may already be too extensive for any medication to help (Canter, Penney, &

Nevertheless, many researchers are not convinced that amyloid-b by itself explains Alzheimer’s. Many old people have high levels of amyloid-b without Alzheimer’s disease, and some have Alzheimer’s disease without especially high levels of amyloid-b. Of all the clinical trials of drugs that coun- teract amyloid-b, so far none have produced clear benefits for patients with Alzheimer’s (Herrup, 2015). An alternative hypothesis relates to the tau protein in the intracellular sup- port structure of axons. High levels of amyloid-b cause more phosphate groups to attach to tau proteins. The altered tau

Figure 12.5 Brain atrophy in Alzheimer’s disease A patient with Alzheimer’s (top) has gyri that are clearly shrunken in comparison with those of a normal person (bottom).

(a) (b)

Figure 12.6 Neuronal degeneration in Alzheimer’s disease (a) A cell in the prefrontal cortex of a normal human; (b) cells from the same area of cortex in patients with Alzheimer’s disease at various stages of deterioration. (Source: Based on “Dendritic changes,” by A. B. Scheibel, p. 70. In Alzheimer’s disease, B. Reisberg, ed., 1983. Free Press.)

M ag

gi e

St eb

er /N

at io

na l G

eo gr

ap hi

c St

oc k

Plaque

Tangle

Figure 12.7 Cerebral cortex of a patient with Alzheimer’s Plaques and tangles result from amyloid-b and abnormal tau protein.

Dr . M

. G oe

de rt/

Sc ie

nc e

Ph ot

o Li

br ar

y/ Sc

ie nc

e So

ur ce

08202_ch12_ptg01.indd 391 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

392 CHAPTER 12 Learning, Memory, and Intelligence

hippocampus rapidly forms new neurons and replaces old ones with new ones. The formation of new neurons facilitates new learning, but as the new neurons and synapses displace old ones, the new learning weakens the old memories. New learning does not necessarily weaken old learning, particu- larly in adults (Cichon & Gan, 2015), but if both the new and old learning depended on new neurons, then a conflict arises.

In contrast to mice and humans, guinea pigs are rela- tively mature at birth, already walking around and eating solid food. They do not have rapid formation of new hippocampal neurons, and they do not tend to forget early memories the way rats and humans do. Furthermore, chemical procedures that interfere with formation of new neurons can impair new learning in infant mice, while also decreasing forgetting (Akers et al., 2014). Although we should be cautious about assuming that the mechanisms in mice are the same as in hu- mans (Epp, Mera, Kohler, Josselyn, & Frankland, 2016), so far the most plausible explanation for infant amnesia is that the rapid learning in early childhood displaces memories formed in infancy.

Tsai, 2016). An important research goal is to find ways to di- agnose Alzheimer’s at the start, either from behavioral mea- sures (Gamaldo, An, Allaire, Kitner-Triolo, & Zonderman, 2012) or perhaps from examination of the nerves in the retina (Frost et al., 2013).

Infant Amnesia Infant amnesia (or early childhood amnesia) is not a disor- der like Korsakoff ’s syndrome or Alzheimer’s disease. It is the universal experience that older children and adults remem- ber very little of what happened in their first few years of life. Young children do in fact form long-term memories. Three- and four-year-olds, and even some two-year-olds can accu- rately describe events that happened months ago, sometimes even years ago (Solter, 2008). However, as they grow older, they forget most of those early events (Peterson, Warren, & Short, 2011). So the proper question is not why young chil- dren fail to form long-term memories. The question is why they forget them.

Hypotheses have included the development of language or complex reasoning abilities as children grow older. How- ever, infant amnesia can be demonstrated in rats and many other species that never develop language (Madsen & Kim, 2016). That is, rats in their first weeks of life learn easily and retain their learning for a day or more, but they do not retain it well over longer times (Brown & Freeman, 2016). Neverthe- less, the early learning is not forgotten completely, because a reminder can restore an apparently lost memory. For example, after 17-day-old rats learn to avoid shock, they seem to forget the response quickly, but a return to the training site, followed by a reminder shock in a different place at a different time, re- stores the lost memory (Travaglia, Bisaz, Sweet, Blitzer, & Al- berini, 2016). For humans, too, a reminder sometimes brings back an early memory that seemed to have been lost.

What could explain the difficulty of recalling infant memories? Research with mice points to some changes in the hippocampus, an area known to be critical for certain types of memory. Early in life, for both mice and humans, the

STOP & CHECK 6. On what kind of question is someone with Korsakoff’s syn-

drome most likely to confabulate? 7. Why did researchers look for a gene on chromosome 21 as a

probable cause of early-onset Alzheimer’s disease? 8. What are the consequences of rapid formation of new neu-

rons in the infant hippocampus?

ANSWERS

6. Patients with Korsakoff’s syndrome most often con- fabulate on questions about themselves. Many confabu- lations are statements that were true at one time. 7. People with Down syndrome, caused by an extra copy of chromosome 21, almost always develop Alzheimer’s disease in middle age. 8. Rapid formation of new neurons in the infant hippocampus facilitates new learning, but at the cost of also increasing forgetting.

Memory and Forgetting

Decades ago, Karl Lashley supposed that the physiology of learning might be a simple matter of increasing a single path- way in the cortex. Today, we distinguish among several types

of learning and memory that rely on multiple mechanisms and multiple brain areas. We learn about these mechanisms by studying forgetting as well as by studying learning.

Module 12.1 In Closing

Summary 1. Ivan Pavlov suggested that learning depends on the

growth of a connection between two brain areas. Karl Lashley showed that learning does not depend on new connections across the cerebral cortex. 384

2. Richard Thompson found that some instances of classical conditioning take place in small areas of the cerebellum. 386

3. Psychologists distinguish between short-term memory and long-term memory. Short-term memory holds only

08202_ch12_ptg01.indd 392 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.1 Learning, Memory, and Memory Loss 393

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

Alzheimer’s disease 390 amnesia 389 amyloid-b 390 classical conditioning 384 conditioned response (CR) 384 conditioned stimulus (CS) 384 confabulation 390 consolidate 388 delayed response task 389

engram 385 equipotentiality 386 infant amnesia 392 instrumental conditioning 384 Korsakoff ’s syndrome 390 lateral interpositus nucleus (LIP)

387 long-term memory 387 mass action 386

punishment 384 reinforcer 384 short-term memory 387 tau protein 391 unconditioned response

(UCR) 384 unconditioned stimulus

(UCS) 384 working memory 389

Lashley sought to find the engram, the physiological rep- resentation of learning. In general terms, how would you recognize an engram if you saw one? That is, what would

someone have to demonstrate before you could conclude that a particular change in the nervous system was really an engram?

Thought Question

a small amount of information and retains it only briefly unless it is constantly rehearsed. 387

4. Working memory, a modern alternative to the concept of short-term memory, stores information that one is currently using. The cortex stores a working memory by occasional bursts of high-frequency oscillations that alternate among many cells. 389

5. Patients with Korsakoff ’s syndrome often fill in their memory gaps with confabulations, which they then remember as if they were true. 390

6. Alzheimer’s disease is a progressive disease, most com- mon in old age, characterized by impaired memory and

attention. Identified genes are responsible for early-onset Alzheimer’s disease, but the more common late-onset condition has a variety of causes. 390

7. Alzheimer’s disease is related to deposition of amyloid- b protein in the brain, but the exact role of the protein remains uncertain. 390

8. Not only humans but many other species also show infant amnesia, the loss of most early memories. The most promising hypothesis is that the loss is due to rapid formation of new hippocampal neurons that facilitate new learning but also displace old learning. 392

Module 12.1 End of Module Quiz

1. What evidence led Lashley to draw his conclusions of equipotentiality and mass action? A. Learning depends on changes at synapses that use all

types of neurotransmitters. B. Electrical stimulation of the brain can produce either

reward or punishment, depending on the intensity of stimulation.

C. EEG studies show activation throughout the brain during an experiment on learning.

D. Impairment of learning depended on the amount of cortical damage rather than the location.

2. What assumption did Lashley make that later researchers rejected? A. Any convenient example of learning will reveal the

mechanisms that apply to all learning. B. Learning requires modification of the activity at

synapses.

C. Short-term memory has to be gradually consolidated into long-term memory.

D. Learning is distributed over many brain areas, but it depends mainly on the hippocampus.

3. Why did Thompson conclude that eyeblink conditioning depends on the lateral interpositus nucleus, instead of the red nucleus? A. Inactivating the red nucleus failed to suppress responses. B. Inactivating the red nucleus suppressed responses,

and after the rabbit recovered, it had to learn the same as a rabbit that had never been trained.

C. Inactivating the red nucleus suppressed responses to some stimuli but not others.

D. Inactivating the red nucleus suppressed responses, but did not prevent learning.

08202_ch12_ptg01.indd 393 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

394 CHAPTER 12 Learning, Memory, and Intelligence

Answers: 1D, 2A, 3D, 4B, 5D, 6B, 7D, 8A, 9B.

4. What was the original concept of consolidation? A. The maximum time that gamma bursts can

continue B. The time necessary to synthesize proteins

C. The time before adrenal hormones can reach the cortex

D. The delay at a metabotropic synapse

5. Emotional arousal facilitates consolidation by what means? A. Suppression of the production of new neurons in the

hippocampus B. Occasional bursts of gamma oscillations

C. Increased production of amyloid-b D. Increased release of norepinephrine, epinephrine, and

cortisol

6. How does the cortex store a working memory? A. Suppression of the production of new neurons in the

hippocampus B. Occasional bursts of gamma oscillations

C. Increased production of amyloid-b D. Increased release of norepinephrine, epinephrine, and

cortisol

7. Which of the following would probably prevent most cases of Korsakoff ’s syndrome? A. Increase the availability of free exercise facilities. B. Decrease the prevalence of particulate matter in air

pollution.

C. Outlaw the possession of handguns in heavily popu- lated areas.

D. Require all alcoholic beverages to be fortified with vitamins.

8. What type of memory do patients with Alzheimer’s retain better than other types? A. Procedural memory better than memory of facts B. Memory of recent events better than memory of older

events

C. Memory of unemotional experiences better than memory of emotional experiences

D. Working memory better than short-term memory

9. Currently, what seems the most promising explanation for infant amnesia? A. Increased reliance on language as children grow older B. More new hippocampal neurons in infants than in

older individuals

C. Inability of the infant hippocampus to store a memory D. Lack of gamma oscillations in the infant cortex

08202_ch12_ptg01.indd 394 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

395

The Hippocampus and the Striatum

Module 12.2

after damage to the hippocampus and surrounding structures of the medial temporal lobe. All show both anterograde and retrograde amnesia, with the retrograde amnesia being most severe for the time leading up to the damage. For example, pa- tients with amnesia can usually tell where they lived as a child and where they lived as a teenager but might not be able to say where they lived 3 years ago (Bayley, Hopkins, & Squire, 2006).

Intact Working Memory Despite H. M.’s huge deficits in forming long-term memories, his short-term or working memory remained intact, unless he was distracted. In one test, Brenda Milner (1959) asked him to remember the number 584. After a 15-minute delay, he re- called it correctly, explaining, “It’s easy. You just remember 8. You see, 5, 8, and 4 add to 17. You remember 8, subtract it from 17, and it leaves 9. Divide 9 in half and you get 5 and 4, and there you are, 584. Easy.” A moment later, after his atten- tion had shifted to another subject, he had forgotten both the number and the complicated line of thought he had associated with it. Most other patients with severe amnesia also show normal working memory, if they avoid distraction (Shrager, Levy, Hopkins, & Squire, 2008).

Impaired Storage of Long-Term Memory Although H. M. could recall much information that he had learned before his damage, he was severely impaired on form- ing new long-term memories. For several years after his opera- tion, whenever he was asked his age and the date, he answered “27” and “1953.” After a few years, he started guessing wildly, generally underestimating his age by 10 years or more and missing the date by up to 43 years (Corkin, 1984). He could read the same magazine repeatedly or work the same jigsaw puzzle repeatedly without losing interest. He could never remember that his favorite uncle had died (Corkin, 2013). Often, he told someone about a childhood incident and then, a minute or two later, told the same person the same story again (Eichenbaum, 2002). In 1980, he moved to a nursing home. Four years later, he could not say where he lived or who cared for him. Although he watched the news on television every night, he could recall only a few fragments of events since 1953. He failed to learn the meanings of new words that entered the English language, such as Jacuzzi and granola (Corkin, 2002).

People who suffered memory problems after localized brain damage have told us much about memory, especially about the distinctions between one type of memory and another. In this module we concentrate on two brain areas with contrast- ing functions in memory, the hippocampus and the striatum.

Memory Loss after Damage to the Hippocampus In 1953, Henry Molaison, known in most research reports as H. M., was suffering about 10 minor epileptic seizures per day and a major seizure about once a week, despite trying every available antiepileptic drug. Eventually, he agreed to a desperate measure. A surgeon, William Scoville, who had ex- perimented with various forms of lobotomy for mental illness, was familiar with two cases in which removal of much of the medial temporal lobe had relieved epilepsy. Hoping that the same might work with H. M., Scoville removed the hippocam- pus and nearby structures of the medial temporal cortex from both of H. M.’s hemispheres. Researchers knew almost noth- ing about the hippocampus at the time, and no one knew what to expect after the surgery. We now know that much of the hippocampus is active during the formation of memories and later recall (Eldridge, Engel, Zeineh, Bookheimer, & Knowl- ton, 2005). Although the operation reduced H. M.’s epilepsy to no more than two major seizures per year, he suffered severe memory impairment (Milner, 1959; Penfield & Milner, 1958; Scoville & Milner, 1957). Figure 12.8 shows the normal anat- omy of the hippocampus and the damage in H. M.

Anterograde and Retrograde Amnesia After the surgery, H. M.’s intellect and language abilities re- mained intact, and his personality remained the same ex- cept for emotional placidity (Eichenbaum, 2002). However, he suffered massive anterograde amnesia (inability to form memories for events that happened after brain damage). He also suffered retrograde amnesia (loss of memory for events that occurred before the brain damage). Initially, researchers said his retrograde amnesia was confined to 1 to 3 years be- fore the surgery. Later, they found it was more extensive. H. M. is representative of other people who have suffered amnesia

08202_ch12_ptg01.indd 395 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

396 CHAPTER 12 Learning, Memory, and Intelligence

You might wonder whether he was surprised at his own appearance in a photo or mirror. Yes and no. When asked his age or whether his hair turned gray, he replied that he did not know. When shown a photo of himself with his mother, taken long after his surgery, he recognized his mother but not him- self. However, when he saw himself in the mirror, he showed no surprise (Corkin, 2002). He had, of course, seen himself daily in the mirror over all these years. He also had the con- text of knowing that the person in the mirror must be himself, whereas the person in the photo could be anyone.

H. M. formed a few new weak semantic memories—that is, memories of factual information (Corkin, 2002; O’Kane, Kensinger, & Corkin, 2004). For example, when he was given first names and asked to fill in appropriate last names, his replies included some who became famous after 1953, such as these:

Corpus callosum

Cerebral cortex

Thalamus

Thalamus

Olfactory bulb

Olfactory tract

Hippocampus

Entorhinal cortex Entorhinal cortex

(a)

(c)

Location of the missing hippocampus

(b)

Left temporal lobe

Horizontal section through left posterior cerebral cortex

Hippocampus

Figure 12.8 The hippocampus and its loss (a) Location of the hippocampus in the interior of the temporal lobe. The left hippocampus is closer to the viewer than the rest of this plane; the right hippocampus is behind the plane. The dashed line marks the location of the temporal lobe, which is not visible in the midline. (b) Photo of a human brain from above. The top part of the left hemisphere has been cut away to show how the hippocampus loops over (dorsal to) the thalamus, posterior to it, and then below (ventral to) it. (c) MRI scan of H. M.’s brain, showing absence of the hippocampus. The three views show coronal planes at successive locations, anterior to posterior.

H. M.’s Answer

Elvis Presley

Martin Luther King

Billy Graham

Fidel Castro

Lyndon Johnson

He provided even more names when he was given additional information:

H. M.’s Answer

Famous artist, born in Spain . . .

Pablo Picasso

One study found an interesting qualification to the usual rule that patients with amnesia cannot learn new information.

08202_ch12_ptg01.indd 396 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.2 The Hippocampus and the Striatum 397

How would memory loss affect someone’s ability to imag- ine the future? If you try to imagine a future event, you call upon your memory of similar experiences and modify them. Stud- ies using fMRI show that describing past events and imagin- ing future events activate mostly the same areas, including the hippocampus (Addis, Wong, & Schacter, 2007). People with amnesia are just as impaired at imagining the future as they are at describing the past, although they have no trouble describ- ing the present (Race, Keane, & Verfaellie, 2011). For example, here is part of one patient’s attempt to imagine a future visit to a museum (Hassabis, Kumaran, Vann, & Maguire, 2007, p. 1727):

Patient: [pause] There’s not a lot, as it happens. Psychologist: So what does it look like in your imag-

ined scene? Patient: Well, there’s big doors. The openings would

be high, so the doors would be very big with brass handles, the ceiling would be made of glass, so there’s plenty of light coming through. Huge room, exit on either side of the room, there’s a pathway and map through the center and on either side there’d be the exhibits. [pause] I don’t know what they are. There’d be people. [pause] To be honest there’s not a lot coming. . . . My imagination isn’t . . . well, I’m not imagining it, let’s put it that way. . . . I’m not picturing anything at the moment.

The relationship between loss of episodic memory and dif- ficulty imagining the future is theoretically interesting. Have you ever wondered what good is episodic memory? You can remember a great many events that happened to you years ago, some of them in detail. From an evolutionary standpoint, why did we evolve that ability? What good does it do to be able to remember details of an event that will never happen again? Now we see a possible answer: Remembering those details helps us imagine the future. And if we couldn’t imagine the future, we couldn’t plan for it.

The investigators showed a series of shapes with unrelated labels, as shown in Figure 12.9. Despite many repetitions, patients with amnesia made no progress toward learning the label for each shape. Then the researchers let the patients devise their own labels. Each patient had to look at one shape at a time and describe it so that another person, who was looking at the 12 shapes unlabeled, would know which one the patient was looking at. At first, the descriptions were slow and uninformative. For the shape at the upper right of Figure 12.9, one patient said, “The next one looks almost . . . the opposite of somebody kind uh . . . slumped down, on the ground, with the same type of . . .” Eventually, he said it looked like someone sleeping with his knees bent. By the fourth trial, he quickly labeled that shape as “the si- esta guy,” and he continued saying the same thing from then on, even in later sessions on later days (Duff, Hengst, Tranel, & Cohen, 2006).

Severe Impairment of Episodic Memory H. M. had severe impairment of episodic memories, mem- ories of personal events. He could not describe any ex- perience that he had after his surgery. Although he could describe facts (semantic memory) that he learned before his operation, he could describe clear memories for only two personal experiences (Corkin, 2013). Another patient, K. C., suffered widespread brain damage after a motorcycle acci- dent, with scattered damage in the hippocampus and other locations, leading to an apparently complete loss of episodic memories. He cannot describe a single event from any time of his life, although he remembers many facts. When he looks at old family pictures in a photo album, he identifies the people and sometimes the places, but he cannot remem- ber anything about the events that happened in the photos (Rosenbaum et al., 2005). Although his brain damage is so diffuse that we cannot be sure which part of the damage is responsible for his memory loss, the observations do tell us that the brain treats episodic memories differently from other memories.

Ocean

Yard

Sunset

Student

Target

Traf�c

Finger

Giant

Crocodile

Broom

Dollar

Wing

Figure 12.9 Displays for a Memory Test of Patients with Amnesia Although they could not remember the arbitrary labels that an experimenter gave to each object (as shown), they did remember the descriptions that they devised themselves. (Source: From “Development of shared information in communication despite hippocampal amnesia,” by M. C. Duff, J. Hengst, D. Tranel, & N. J. Cohen, 2006, Nature Neurosci- ence, 9, 140–146. Used by permission, Macmillan Publishing Ltd.)

08202_ch12_ptg01.indd 397 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

398 CHAPTER 12 Learning, Memory, and Intelligence

Theories of the Function of the Hippocampus Exactly how does the hippocampus contribute to memory? Some of the research comes from patients with damage to the hippocampus, but to get better control over both the anatomy and the environment, researchers also conduct research on laboratory animals.

Larry Squire (1992) proposed that the hippocampus is criti- cal for declarative memory, especially episodic memory. How could we test this hypothesis with nonhumans, who cannot “de- clare” anything? What could they do that would be the equivalent of declarative or episodic memory? Here is one possible example: A rat digs food out of five piles of sand, each with a different odor. Then it gets a choice between two of the odors and is rewarded if it goes toward the one it smelled first. Intact rats learn to respond correctly, apparently demonstrating memory of not only what they smelled but also when they smelled it. Because this task re- quires memory of a specific event, it seems to qualify as episodic. Rats with hippocampal damage do poorly on this task (Fortin, Agster, & Eichenbaum, 2002; Kesner, Gilbert, & Barua, 2002).

In the delayed matching-to-sample task, an animal sees an object (the sample) and after a delay, gets a choice between two objects, from which it must choose the one that matches the sample. In the delayed nonmatching-to-sample task, the procedure is the same except that the animal must choose the object that is different from the sample (see Figure 12.10). In both cases, the animal must remember which object was pres- ent on this occasion, thereby showing what we might call a de- clarative memory, perhaps an episodic memory. Hippocampal damage strongly impairs performance in most cases (Heuer & Bachevalier, 2011; Moore, Schettler, Killiany, Rosene, & Moss, 2012; Zola et al., 2000).

Better Implicit Than Explicit Memory Nearly all patients with amnesia show better implicit than explicit memory. Explicit memory is deliberate recall of in- formation that one recognizes as a memory, also known as declarative memory. If you have an explicit or declarative memory of something, you can state it in words, draw a pic- ture of it, or otherwise demonstrate that you know you re- member it. Implicit memory is an influence of experience on behavior, even if you do not recognize that influence. For example, H. M. became comfortable and familiar with certain people, such as the psychologists who worked with him over the years, although he did not remember their names or where he had met them. Also, he could not say what topic a recent conversation had discussed, but he might spontaneously start talking about that same topic again (Corkin, 2013).

Another example of implicit memory: As an experiment, three hospital workers agreed to act in special ways toward a patient with amnesia (not H. M.). One worker was as pleas- ant as possible. The second was neutral. The third was stern, refused all requests, and made the patient perform boring tasks. After 5 days, the patient was asked to look at photos of the three workers and try to identify them or say anything he knew about them. He said he did not recognize any of them. Then he was asked which one he would approach as a possible friend or which one he would ask for help. He was asked this question repeatedly—it was possible to ask repeatedly because he never remembered being asked before—and he usually chose the photo of the “friendly” person and never chose the “unfriendly” person in spite of the fact that the unfriendly per- son was a beautiful woman, smiling in the photograph (Tranel & Damasio, 1993). He could not say why he chose to avoid her.

Intact Procedural Memory Procedural memory, the development of motor skills and habits, is a special kind of implicit memory. As with other ex- amples of implicit memory, you might not be able to describe a motor skill or habit in words, and you might not even recog- nize it as a memory. For example, H. M. learned to read words written backward, as they would be seen in a mirror, although he was surprised at this skill, as he did not remember having tried it before (Corkin, 2002). Patient K. C. has a part-time job at a library and has learned to use the Dewey decimal system in sorting books, although he does not remember when or where he learned it (Rosenbaum et al., 2005).

Here is another example of procedural memory: In the video game Tetris, geometrical forms such as and fall from the top, and the player must move and rotate them to fill available spaces at the bottom of the screen. Normal peo- ple improve their skill over a few hours and readily describe the game and its strategy. After playing the same number of hours, patients with amnesia cannot describe the game and say they don’t remember playing it. Nevertheless, they slowly improve. Moreover, when they are about to fall asleep, they re- port seeing images of little piles of blocks falling and rotating (Stickgold, Malia, Maguire, Roddenberry, & O’Connor, 2000). They are puzzled and wonder what these images mean!

STOP & CHECK 9. Which types of memory were most impaired in H. M. and

people with similar amnesia? 10. Which types of memory were least impaired in H. M. and

people with similar amnesia?

ANSWERS

9. H. M. had severe anterograde amnesia (difficulty form- ing new long-term memories) and a severe loss of episodic memories. 10. H. M. had nearly intact working memory, implicit memory, and procedural memory.

In summary, H. M. showed the following pattern, as do many other patients with amnesia:

●● Normal working memory, unless distracted ●● Severe anterograde amnesia for declarative memory—that

is, difficulty forming new declarative memories ●● Severe loss of episodic memories, including most of those

from before the damage ●● Better implicit than explicit memory ●● Nearly intact procedural memory, implying that proce-

dural memory depends on other brain areas

08202_ch12_ptg01.indd 398 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.2 The Hippocampus and the Striatum 399

Navigation Suppose someone blindfolds you, picks you up, and plops you down somewhere totally dark and quiet. What do you do? You want to explore, but you must be cautious. You don’t know where any opportunities or dangers might be present. Now imagine waking up in your own bed. Again suppose complete darkness and quiet, but now you can walk with ease to your dresser, the door, or whatever, because you know where you are relative to everything else. Knowing where you are is a spe- cial type of memory, one that depends on the hippocampus and surrounding areas.

Several types of evidence demonstrate the importance of the hippocampus and nearby areas for spatial memory. Consider a radial maze with several arms—typically eight—some or all of which have a bit of food at the end (see Figure 12.11). A rat’s best strategy in a radial maze is to explore each arm once and only once, remembering where it has already gone. In a variation of the task, a rat might learn that the arms with a rough floor never have food or that the arms pointing toward the window never have food. Thus, a rat can make a mistake either by entering a never-correct arm or by entering any arm twice.

Another hypothesis relates the hippocampus to memory for context. Research with patient H. M. showed the impor- tance of the hippocampus for episodic memory. Think about one of your own episodic memories, any one of them. Presum- ably it includes a context—sights, sounds, one or more loca- tions, and a series of events. Clearly, that memory could not be stored in a single location in the brain; it has to be spread over many locations. Perhaps the hippocampus is a coordinator, a director that brings together representations from various loca- tions, in the correct order. In short, it reconstructs the context. When people successfully retrieve an episodic memory, activ- ity in and around the hippocampus synchronizes with activity in several parts of the cortex, consistent with the idea that the hippocampus is providing the connections that are necessary for recall (Watrous, Tandon, Conner, Pieters, & Ekstrom, 2013).

Recent episodic memories generally include much con- textual detail. Some older memories do also, but in most cases the details fade and we remember only the gist of the event. Memories with much contextual detail depend on the hippo- campus, but older, less detailed memories depend mainly on the cerebral cortex with less contribution from the hippocam- pus (Takehara-Nishiuchi & McNaughton, 2008). The same is true of rats: When rats are trained to do something, and then tested again after a short delay, they remember the response best if they are tested in the same location. That is, their mem- ory depends on the context. As time passes, the context mat- ters less and less, and to the extent that rats remember the response, they remember it equally well in a different location. If rats with damage to the hippocampus learn something at all, they show no difference between testing in the familiar place and some other place. Their memory doesn’t depend on con- text, presumably because they do not remember it (Winocur, Moscovitch, & Sekeres, 2007).

Monkey lifts sample object to get food. Food is under the new object.

Delay

Figure 12.10 A delayed nonmatching-to- sample task

STOP & CHECK 11. According to the context hypothesis, why does hippocampal

damage impair recent memories more than distant memories?

ANSWER

11. Recent memories include details of context, and the hippocampus is essential for memory of context. Most old memories include only the gist of the event, and the hippocampus is less important for memories of that type.

Figure 12.11 A radial maze A rat that reenters one arm before trying other arms has made an error of spatial working memory.

M au

ro F

er m

ar ie

llo /S

ci en

ce S

ou rc

e

08202_ch12_ptg01.indd 399 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

400 CHAPTER 12 Learning, Memory, and Intelligence

looking in a particular direction (O’Keefe & Burgess, 1996; O’Keefe & Dostrovsky, 1971). The discovery of place cells en- ables researchers to “read a rat’s mind” to a limited degree. Suppose a rat is at a choice point in a difficult maze. It stops and looks one way and then the other a few times before pro- ceeding. Recordings from its hippocampus show that cells become active in the proper order as if the rat were actually walking down one path or the other. That is, we can watch the brain activity as the rat imagines trying each route (Redish, 2016). People sometimes assert that humans are the only spe- cies that can imagine the future. Wrong. Even rats can, at least for the very near future. Are we sure about this? Well, we get similar results from human brains while people imagine mov- ing from one place to another (T. I. Brown et al., 2016; Jacobs et al., 2013; J. F. Miller et al., 2013).

Many of the place cells also function as time cells that re- spond at a particular point in a sequence of time. For example, consider a rat that has to run on a treadmill for 20 seconds to receive reward. Many hippocampal cells become active at a particular time during the 20 seconds (Salz et al., 2016). Evi- dently rats keep track of where they are in both space and time.

The hippocampal place cells receive much of their input from the nearby entorhinal cortex (see Figure 12.8). When re- searchers recorded from cells in the entorhinal cortex, they found results like the ones in Figure 12.13. Each cell became active at locations separated from one another in a hexagonal grid. The cells are therefore called grid cells. At a given level within the entorhinal cortex, different cells respond to differ- ent sets of locations, but always in a hexagon. At each deeper level (dorsal to ventral, shown left to right in Figure 12.13), the area covered by a given cell doubles in size (Stensola et al., 2012). Many of the cells at deeper levels respond to a combi- nation of the animal’s location and the direction it is heading (Sargolini et al., 2006). Some of the cells respond to the ani- mal’s speed of locomotion instead of its location or direction (Kropff, Carmichael, Moser, & Moser, 2015). The animal de- termines its location and direction from a combination of in- puts from several populations of cells. When an animal moves to a different environment, all the cells reorder themselves to map out the new locations.

The place cells and time cells of the hippocampus relate to the previous discussion of episodic memory. Any episodic memory refers to events that occurred in a particular place, with a particular sequence of events over time. A loss of place cells and time cells disrupts many types of memory formation.

Rats with damage to the hippocampus can learn to avoid the never-correct arms, but even after much training they often enter a correct arm twice. That is, they forget which arms they have already tried (Jarrard, Okaichi, Steward, & Goldschmidt, 1984; Olton & Papas, 1979; Olton, Walker, & Gage, 1978).

In the Morris water maze, a rat swims through murky water to find a rest platform that is just under the surface (see Figure 12.12). (Rats swim only when necessary. Humans are among the very few land mammals that swim voluntarily.) A rat with hippocampal damage slowly learns to find the plat- form if it always starts from the same place and can always turn the same direction to find the rest platform. However, if it has to start from a different location or if the rest platform occasionally moves from one location to another, the rat is disoriented (Eichenbaum, 2000; Liu & Bilkey, 2001). Evidently the hippocampus is essential for remembering locations.

The hippocampus is important for spatial orientation in humans as well. Researchers conducted PET scans on the brains of London taxi drivers as they answered navigation questions such as, “What’s the shortest legal route from the Carlton Tower Hotel to the Sherlock Holmes Museum?” (Lon- don taxi drivers are well trained and answer with impressive accuracy.) Answering these questions activated their hippo- campus much more than did answering nonspatial questions. MRI scans also revealed that the taxi drivers have a larger than average posterior hippocampus and that the longer they had been taxi drivers, the larger their posterior hippocampus (Maguire et al., 2000). This result suggests actual growth of the adult human hippocampus in response to spatial learning experiences.

A major advance in our understanding came from sin- gle-cell recordings. May-Britt Moser, Edvard Moser, and John O’Keefe shared the 2014 Nobel Prize in Physiology or Medicine for their discovery of the cells responsible for spatial memory.

The research began with the discovery of place cells, hippocampal neurons tuned to particular spatial locations, responding best when an animal is in a particular place and

5th trial 34th trial 71st trial

Figure 12.12 The Morris water maze An intact rat learns by trial and error. In each case the line traces the path a rat took to the platform, marked by a circle. On the fifth trial, the rat stayed mainly near the edge and never found the platform. On the 34th trial, it found the platform in 35 seconds. On the 71st trial, it went directly to the platform in 6 seconds. (Source: From “Response learning of rats in a Morris water maze: Involvement of the medial prefrontal cortex,” by J. P. C. de Bruin, W. A. M. Swinkels, & J. M. de Brabander, 1997, Behavioral Brain Research, 85, 47–55.)

May-Britt Moser and Edvard Moser Like the GPS in our phones and cars, our brain’s system assesses where we are and where we are heading by integrating mul- tiple signals relating to our position and the passage of time. . . . The ability to figure out where we are and where we need to go

is key to survival. Without it, we, like all animals, would be unable to find food or reproduce. Individuals—and, in fact, the entire spe- cies—would perish. (Moser & Moser, 2016, p. 26)

Dr ag

o Pr

vu lo

vi c/

N ew

sc om

/ Eu

ro pe

an P

re ss

ph ot

o Ag

en cy

/ Lu

nd /S

w ed

en /N

ew sc

om

08202_ch12_ptg01.indd 400 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.2 The Hippocampus and the Striatum 401

blue or purple rectangles. Based on that information, guess whether it will rain tomorrow (“yes”) or not (“no”). You are provided with the correct answer for the first 36. You will get the idea of the task best if you try the items one at a time. What do you guess for the final two items, and on what basis did you make that decision?

The Striatum Episodic memory, dependent on the hippocampus, develops after a single experience. Many semantic memories also form after a single experience. That is, if someone tells you an in- teresting fact, you might remember it forever. Learning your spatial location can also develop quickly. However, we need a different mechanism for gradually learning habits, or learn- ing what probably will or will not happen under certain cir- cumstances. You take into account many types of information when you conclude that it will probably rain tomorrow, or that your mother probably wouldn’t enjoy the movie you just saw, or that your favorite team will probably win its next game. You may not even be aware of all the cues you used or how you de- cided. Learning of this type depends on parts of the basal gan- glia, specifically the caudate nucleus and the putamen, which are together known as the striatum (see Figure 7.16).

To illustrate, consider the following example. In each of 38 cases you have three pieces of information, here shown as

3,200 mm 3,250 mm3,100 mm2,300 mm

Cell: 170610_T3C2 Cell: 180610_T3C2Cell: 150610_T3C3Cell: 130510_T3C1

D or

sa l Ventral

50 cm 100 cm

Figure 12.13 Recordings from four cells in a rat’s entorhinal cortex Each box represents one cell, and each dot within a box represents a location where that cell responded. Each cell responded to locations arranged in a hexagon. Cells at a more dorsal level in the entorhinal cortex (toward the right) had wider spacing of grids. (Source: From “The entorhinal grid map is discretized,” by H. Stensola, T. Stensola, T. Solstad, K. Frøland, M.-B. Moser, & E. I. Moser, 2012, Nature, 492, 72–78.)

STOP & CHECK 12. In addition to an animal’s location, what else do many place

cells monitor? 13. What is the evidence that rats can imagine the future? 14. How do grid cells at ventral levels of the entorhinal cortex

differ from those at dorsal levels?

ANSWERS

12. Some also respond to time or the direction the ani- mal is heading. 13. When a rat pauses at a choice point in a maze, place cells respond in sequence as if the animal were traveling down one arm or another of the maze. 14. Moving dorsal to ventral, the grid cells respond to larger areas.

∆ ∆ ∆ YES

∆ ∆ ∆ NO

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ NO

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ NO

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ NO

∆ ∆ ∆ NO

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ YES

∆ ∆ ∆ NO

∆ ∆ ∆ NO

∆ ∆

∆ ∆∆

∆∆ ∆

∆ ∆

∆ ∆

∆ ∆∆

∆ ∆

∆ ∆∆

∆ ∆∆

∆ ∆

∆ ∆

∆ ∆∆

∆ ∆

∆ ∆

∆ ∆∆

∆ ∆∆

∆ ∆

∆ ∆

∆ ∆∆

YES

YES

NO

YES

YES

YES

YES

YES

YES

YES

NO

YES

NO

NO

NO

YES

NO

?

?

TRY IT YOURSELF

08202_ch12_ptg01.indd 401 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

402 CHAPTER 12 Learning, Memory, and Intelligence

Together, these results suggest a division of labor be- tween the striatum and other brain areas that include the hip- pocampus and cerebral cortex, as summarized in Table 12.1 (Balleine, Delgado, & Hikosaka, 2007; Foerde, Race, Verfaellie, & Shohamy, 2013; Foerde & Shohamy, 2011; Koralek, Jin, Long, Costa, & Carmena, 2012; Shohamy, 2011; Wan et al., 2012). However, the separation between the two systems is not com- plete. Nearly all learned tasks activate both systems to some extent (Albouy et al., 2008). In many cases with prolonged training, a rat’s learning depends mainly on the hippocampus at the start, but comes to depend more on the striatum as the learning becomes better established (Ferbinteanu, 2016). Simi- larly, you know from your own experience that when you are first learning to do something—drive a car, hit a tennis ball, play a complex video game, whatever—you have to think about it step by step, but after much practice it happens almost auto- matically. Eventually you may even find that you have trouble explaining to someone else what you are doing.

In this task, you could develop any of several strategies. If you simply noticed that the answer is yes more often than no (evidently you are predicting the weather in a rainy area), you could always answer yes, being correct 64 percent of the time. A better strategy is, if you see more blue than purple rect- angles on a given trial, guess yes. If you see more purple than blue rectangles, guess no. That strategy is correct 83 percent. If you pay attention to just the blue versus purple rectangles in one column, your accuracy varies from 53 percent to 86 percent correct, depending on which column you choose. The best strategy is more complicated: If you see two or three blue rectangles, guess yes; if you see two or three purple rectangles, guess no; except that if it goes “blue-purple-purple,” guess yes, and if it goes “blue-blue-purple,” guess no. That strategy gives a correct answer 94 percent of the time with the material shown here. (So the answers for the final two items are YES, YES.)

You would not have figured out that last strategy from the small number of trials given here. But if you had the pa- tience to continue for hundreds of trials, your accuracy would eventually, gradually climb up toward 94 percent correct. You might not be able to describe your strategy. You would just “know” somehow the right answer to guess each time. That gradual, probabilistic learning depends on the basal ganglia.

Suppose we run a test like this on people with Parkinson’s disease, who have impairments of the striatum. As a rule, they perform about the same as healthy people at first, because they have an intact hippocampus and they can learn simple declarative facts such as “blue means yes and purple means no.” However, even after many trials, they do not show the gradual improvement that requires the striatum. On other kinds of complex learning tasks, if they don’t form an explicit, declarative memory, they don’t improve at all (Moody, Chang, Vanek, & Knowlton, 2010). That is, they don’t acquire nonver- bal habits.

People with amnesia after hippocampal damage per- form randomly on the weather task for many trials, because they form no declarative memories and they do not remem- ber that mostly blue or mostly purple symbols would mean anything. However, if they continue for a very long time, they show gradual improvement, based on habits supported by the striatum (Bayley, Frascino, & Squire, 2005; Shohamy, Myers, Kalanithi, & Gluck, 2008). When normal people try to learn a complex task under conditions of extreme distraction, they too learn slowly, like people with a damaged hippocampus (Foerde, Knowlton, & Poldrack, 2006).

Table 12.1 Brain Areas for Two Types of Learning

Hippocampus Striatum Speed of learning Can learn in a single trial Learns gradually over many trials

Type of behavior Flexible responses Habits

Based on what type of feedback? Sometimes connects information over a delay Generally requires prompt feedback

Explicit or implicit learning? Explicit Implicit

What happens after damage? Impaired declarative memory, especially episodic memory

Impaired learning of skills and habits

STOP & CHECK 15. Which type of memory would be easier to describe in words,

memory based on the hippocampus or the striatum?

ANSWER

15. Hippocampal-based memory, being explicit, is gener- ally easier to describe in words. The habits based on the striatum are sometimes harder to describe.

Other Brain Areas and Memory Most of this module has focused on the hippocampus and the striatum. Chapter 11 mentioned the importance of the amygdala for fear memories. Other brain areas are impor- tant for learning and memory, too. In fact, most of the brain contributes.

Investigators asked two patients with parietal lobe dam- age to describe various events from their past. When tested this way, their episodic memory appeared sparse, almost de- void of details. However, the investigators asked follow-up questions, such as, “Where were you?” and “Who else was there at the time?” Then these patients answered in reason- able detail, indicating that their episodic memories were in- tact, as well as their speech and their willingness to cooperate.

08202_ch12_ptg01.indd 402 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.2 The Hippocampus and the Striatum 403

were. The problem wasn’t that he couldn’t remember the word sheep. It was as if he had never seen a sheep before. When another person saw a picture of a zebra, she called it a horse but then pointed at the stripes and asked what “those funny things” were. She had lost the concept of zebra. Such patients often forget the typical color of common fruits and vegetables or the appearance of various animals. The anterior temporal cortex stores some semantic information and serves as a hub for communicating with other brain areas to bring together a full concept (Patterson, Nestor, & Rogers, 2007).

What was lacking was their ability to elaborate on a memory spontaneously (Berryhill, Phuong, Picasso, Cabeza, & Olson, 2007). Ordinarily, when most of us recall an event, one thing reminds us of another, and we start adding one detail after another, until we have said all that we know. In people with pa- rietal lobe damage, that process of associating one piece with another is impaired.

People with damage in the anterior temporal cortex suffer semantic dementia, a loss of semantic memory. One patient while riding down a road saw some sheep and asked what they

Brain Damage and Memory

Although most psychologists of the early 20th century assumed that all learning and memory was of only one type, subject to a single set of laws, the idea of more than one type did occa- sionally emerge (e.g., Tolman, 1949). However, the idea did not

become popular until the results of brain damage showed how someone could lose one type of memory without much loss of another. This is a clear example of neurological study contrib- uting to psychological theory.

Module 12.2 In Closing

Summary 1. People with damage to the hippocampus have great

trouble forming new long-term declarative memories, especially episodic memories. They also have trouble imagining the future. 395

2. People with damage to the hippocampus nevertheless show implicit memory, short-term memories, and proce- dural memories. 395, 398

3. Theories about the hippocampus focus on its role in declarative memory and memory for context. 398

4. The hippocampus is especially important for remember- ing where one is in space and time relative to other items or events. 399

5. The hippocampus contains place cells. Monitoring those cells shows that animals can imagine traveling in one direction or another. 399

6. Place cells receive input from grid cells in the entorhinal cortex. Grid cells respond to a series of locations arranged in a hexagonal grid. 400

7. Whereas the hippocampus is important for rapid stor- age of an event, the striatum (part of the basal ganglia) is important for gradually developing habits and for seeing complex patterns that may not be evident on a single trial. 401

8. In some cases learning depends at first on the hippocam- pus and after much practice becomes dependent on the striatum. 402

9. The parietal cortex is important for elaborating episodic memories. The anterior temporal cortex serves as a hub for semantic memories. 402

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

anterograde amnesia 395 declarative memory 398 delayed matching-to-sample task

398 delayed nonmatching-to-sample

task 398 episodic memories 397

explicit memory 398 grid cells 400 implicit memory 398 Morris water maze 400 place cells 400 procedural memory 398 radial maze 399

retrograde amnesia 395 semantic dementia 403 semantic memories 396 striatum 401 time cells 400

08202_ch12_ptg01.indd 403 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

404 CHAPTER 12 Learning, Memory, and Intelligence

From any observations you have made on human infants, which type of memory would you guess develops first, the hippocampal-dependent system or the striatum- dependent system?

Thought Question

Module 12.2 End of Module Quiz

1. What is anterograde amnesia? A. Loss of factual memory B. Loss of memory for personal experiences

C. Loss of memory for space and time D. Inability to form new memories

2. What was the status of working memory in patient H. M.? A. He had a complete loss of working memory. B. His working memory seemed normal unless he was

distracted.

C. He had reasonable working memory only for facts that he found highly interesting.

D. Shortly after his damage, his working memory was poor, but it later recovered.

3. Which of the following was most severely impaired in patient H. M.? A. Episodic memory B. Procedural memory

C. Implicit memory D. Short-term memory

4. Why is it unsurprising that H. M. had intact procedural memory? A. Procedural memory can develop in a single trial. B. Procedural memory depends on high-frequency

gamma oscillations.

C. Procedural memory does not require synaptic modifi- cations in the brain.

D. Procedural memory depends on the striatum, not the hippocampus.

5. What type of memory do the radial maze and Morris water maze test? A. Episodic memory B. Verbal memory

C. Social memory D. Spatial memory

6. Evidence that rats can imagine the future came from recordings from what type of cell? A. Glia cells B. Place cells

C. Face-recognition cells D. Visual cortex cells

7. Why are certain cells in the entorhinal cortex called grid cells? A. They respond to locations distributed in a hexagonal

grid. B. They have axons that spread out in the shape of

a grid.

C. They have dendrites that spread out in the shape of a grid.

D. They respond when an animal sees something shaped like a grid.

8. The striatum is primarily responsible for which type of learning? A. Gradually learning habits B. Acquiring and storing episodic memories

C. Memories that people can easily describe in words D. Quickly adapting learned behaviors to new

circumstances

9. Someone with semantic dementia has lost which of the following? A. Ability to understand speech B. Factual knowledge

C. Ability to find the way to something D. Face recognition

Answers: 1D, 2B, 3A, 4D, 5D, 6B, 7A, 8A, 9B.

08202_ch12_ptg01.indd 404 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

405

Storing Information in the Nervous System

Module 12.3

I remember myself at the railroad station in Vanceburg, Kentucky; it is winter and the wind is blowing outside, and I am waiting for a train.

Penfield (1955; Penfield & Perot, 1963) suggested that each neuron stores a particular memory, like a videotape of one’s life. However, brain stimulation rarely elicited a memory of a specific event. Usually, it evoked vague sights and sounds, or recollections of common experiences such as “seeing a bed” or “hearing a choir sing ‘White Christmas.’” Stimulation almost never elicited memories of doing anything—just of seeing and hearing. Also, some patients reported events that they had never actually experienced, such as being chased by a robber or seeing Christ descend from the sky. In short, the stimulation produced something more like a dream than a memory.

2. G. A. Horridge (1962) apparently demonstrated that decapitated cockroaches can learn. First he cut the con- nections between a cockroach’s head and the rest of its body. Then he suspended the cockroach so that its legs dangled just above a surface of water. An electrical circuit was arranged as in Figure 12.14 so that the roach’s leg received a shock whenever it touched the water. Each experimental roach was paired with a control roach that got a leg shock whenever the first roach did. Only the experimental roach had any control over the shock, however. This kind of experiment is known as a “yoked- control” design.

Over 5 to 10 minutes, headless roaches in the experimental group increased a response of tucking the leg under the body to avoid shocks. Those in the control group did not, on average, change their leg position as a result of the shocks. Thus, the changed response appar- ently qualifies as learning and not as an accidental by- product of the shocks.

These experiments initially seemed a promising way to study learning in a simple nervous system (Eisenstein & Cohen, 1965). Unfortunately, decapitated cockroaches learn slowly—wow, imagine that!—and the results vary sharply from one individual to another, limiting the use- fulness of the results. After a handful of studies, interest in this line of research faded.

If you walk through a field, are the footprints that you leave “memories”? How about the mud that you pick up on your shoes? If the police wanted to know who walked across that field, a forensics expert could check your footprints or your shoes to answer the question. And yet we would not call these physical traces memories in the usual sense.

Similarly, when a pattern of activity passes through the brain, it leaves a path of physical changes, but not every change is a memory. The task of finding how the brain stores memories is a challenging one, and researchers have explored many avenues that seemed promising for a while but now seem fruitless.

Blind Alleys and Abandoned Mines Textbooks, including this one, concentrate mostly on success- ful research that led to our current understanding of a field. You may get the impression that science progresses smoothly, with each experiment contributing to the body of knowledge. However, if you look at old journals or textbooks, you will find discussions of many “promising” or “exciting” findings that we disregard today. Scientific research does not progress straight from ignorance to enlightenment. It explores one direction af- ter another, a little like a rat in a complex maze, abandoning the dead ends and pursuing arms that lead further.

The problem with the maze analogy is that an investiga- tor seldom runs into a wall that clearly identifies the end of a route. A better analogy is a prospector digging for gold, never certain whether to abandon an unprofitable spot or to keep digging just a little longer. Many previously exciting lines of research in the study of learning are now of little more than historical interest. Here are three examples:

1. Wilder Penfield sometimes performed brain surgery for severe epilepsy on conscious patients who had only scalp anesthesia. When he applied a brief, weak electrical stimulus to part of the brain, the patient could describe the experi- ence that the stimulation evoked. Stimulation of the tempo- ral cortex sometimes evoked vivid descriptions such as:

I feel as though I were in the bathroom at school. I see myself at the corner of Jacob and Washington in South

Bend, Indiana.

08202_ch12_ptg01.indd 405 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

406 CHAPTER 12 Learning, Memory, and Intelligence

the cerebral cortex, it also stimulated Donald Hebb to propose a mechanism for change at a synapse.

3. In the 1960s and early 1970s, several investigators pro- posed that each memory is coded as a specific molecule, probably RNA or protein. The boldest test of that hypoth- esis was an attempt to transfer memories chemically from one individual to another. James McConnell (1962) reported that, when planaria (flatworms) cannibalized other planaria that had been classically conditioned to respond to a light, they apparently remembered what the cannibalized planaria had learned. At least they learned the response faster than average for planaria.

Inspired by that report, other investigators trained rats to approach a clicking sound for food (Babich, Jacobson, Bubash, & Jacobson, 1965). After the rats were well trained, the experimenters ground up their brains, extracted RNA, and injected it into untrained rats. The recipient rats learned to approach the clicking sound faster than rats in the control group did.

That report led to a wealth of studies on the transfer of training by brain extracts. In some of these experiments, rats that received brain extracts from a trained group showed apparent memory of the task, whereas those that received extracts from an untrained group did not (Dyal, 1971; Fjerdingstad, 1973). The results were inconsistent and unreplicable, however, even within a single laboratory (Smith, 1975). Many laboratories failed to find any hint of a transfer effect. By the mid-1970s, most researchers saw no point in continuing this research, and funding agencies refused to consider further grants for it.

Learning and the Hebbian Synapse Research on the physiology of learning began with Ivan Pav- lov’s concept of classical conditioning. Although that theory led Karl Lashley to an unsuccessful search for connections in

Stimulator

Water

Figure 12.14 Learning in a headless cockroach? The decapitated cockroach, suspended just above the water, receives a shock whenever its hind leg touches the water. A cockroach in the control group gets a shock whenever the first roach does regardless of its own behavior. According to some reports, the experimental roach learned to keep its leg out of the water. (Source: From “Learning of leg position by the ventral nerve cord in headless insects,” by G. A. Horridge, Proceedings of the Royal Society of London, B, 157, 1962, 33–52. Copyright © 1962 The Royal Society of London. Reprinted by permission of the Royal Society of London and G. A. Horridge.)

Donald O. Hebb (1904–1985) Modern psychology takes completely for granted that behavior and neural function are perfectly correlated. . . . There is no sep- arate soul or life force to stick a finger into the brain now and then and make neural cells do what they would not otherwise. . . . It is quite conceivable that some day the

assumption will have to be rejected. But it is important also to see that we have not reached that day yet. . . . One cannot logically be a determinist in physics and chemistry and biology, and a mystic in psychology. (Hebb, 1949, p. xiii)

M ar

y El

le n

He bb

Hebb suggested that when the axon of neuron A “repeat- edly or persistently takes part in firing [cell B], some growth process or metabolic change takes place in one or both cells” that increases the subsequent ability of axon A to excite cell B (Hebb, 1949, p. 62). In other words, an axon that has suc- cessfully stimulated cell B in the past becomes even more successful in the future. In still simpler words, “cells that fire together wire together.” Later researchers modified this idea: Neurons that are near each other and fire together wire to- gether (Ascoli, 2015). That saying is less catchy, but it is more accurate. The structure of the nervous system determines which connections learning can make, and how easily it can make them.

Consider how this process relates to classical condition- ing. Suppose axon A initially excites cell B slightly, and axon C excites B more strongly. If A and C fire together, their com- bined effect on B may produce an action potential. You might think of axon A as the conditioned stimulus and axon C as the unconditioned stimulus. Pairing activity in axons A and C increases the future effect of A on B. A Hebbian synapse is one that can increase its effectiveness as a result of simulta- neous activity in the presynaptic and postsynaptic neurons. Such synapses are essential for many kinds of associative learning.

STOP & CHECK 16. How can a Hebbian synapse account for the basic phenom-

ena of classical conditioning?

ANSWER

16. In a Hebbian synapse, pairing the activity of a weaker (CS) axon with a stronger (UCS) axon produces an action potential, and in the process strengthens the response of the cell to the CS axon. On later trials, it will produce a bigger depolarization of the postsynaptic cell, which we can regard as a conditioned response.

08202_ch12_ptg01.indd 406 9/14/17 10:53 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.3 Storing Information in the Nervous System 407

Habituation in Aplysia Habituation is a decrease in response to a repeated stimulus that is accompanied by no change in other stimuli. For exam- ple, a sudden noise may startle you, but you respond less after repeated presentations, especially if they occur frequently or at predictable intervals. If we repeatedly stimulate an Aplysia’s gills with a brief jet of seawater, it withdraws at first, but after many repetitions, it stops responding. The decline in response is not due to muscle fatigue; even after habituation has oc- curred, direct stimulation of the motor neuron produces a full- size muscle contraction (Kupfermann, Castellucci, Pinsker, & Kandel, 1970). We can also rule out changes in the sensory neuron. The sensory neuron still gives a full, normal response to stimulation; it merely fails to excite the motor neuron as much as before (Kupfermann et al., 1970). We are therefore left with the conclusion that habituation in Aplysia depends on a change in the synapse between the sensory neuron and the motor neuron (see Figure 12.17).

Sensitization in Aplysia If you experience an unexpected, intense pain, you temporar- ily react more strongly than usual to other sudden stimuli. This phenomenon is sensitization, an increase in response to mild stimuli as a result of exposure to more intense stimuli. Similarly, a strong stimulus almost anywhere on Aplysia’s skin intensifies a later withdrawal response to a touch.

Researchers traced sensitization to changes at identified synapses (Cleary, Hammer, & Byrne, 1989; Dale, Schacher,

Single-Cell Mechanisms of Invertebrate Behavior Change If we are going to look for a needle in a haystack, a good strat- egy is to look in a small haystack. Therefore, many researchers have turned to studies of invertebrates. Vertebrate and in- vertebrate nervous systems are organized differently, but the chemistry of the neuron, the principles of the action potential, the neurotransmitters, and their receptors are the same. If we identify the physical basis of learning and memory in an in- vertebrate, we have at least a hypothesis of what might work in vertebrates. Biologists have long used this strategy for study- ing genetics, embryology, and other biological processes.

Aplysia as an Experimental Animal Aplysia, a marine invertebrate related to the slug, has been a popular animal for studies of the physiology of learning (see Figure 12.15). Compared to vertebrates, it has fewer neurons, many of which are large and easy to study. Moreover, unlike vertebrates, Aplysia neurons are virtually identical from one individual to another so that investigators can replicate one another’s work in detail.

Much research deals with the withdrawal response: If someone touches the siphon, mantle, or gill of an Aplysia (see Figure 12.16), the animal vigorously withdraws the irritated structure. Investigators have traced the neural path from the touch receptors through other neurons to the motor neurons that direct the response. Using this neural pathway, investiga- tors have studied changes in behavior as a result of experience. In 2000, Eric Kandel won a Nobel Prize for this work.

Figure 12.15 Aplysia, a marine mollusk A full-grown animal is a little larger than a human hand.

Tactile stimulus Mantle shelf

Gill

Figure 12.16 Touching an Aplysia causes a withdrawal response The sensory and motor neurons controlling this reaction have been identi- fied and studied.

Eric R. Kandel The questions posed by higher cognitive processes such as learning and memory are formidable, and we have only begun to explore them. Although elementary aspects of simple forms of learning have been accessible to molecular analysis in invertebrates, we are only now beginning

to know a bit about the genes and proteins involved in more com- plex, hippocampus-based learning processes of mammals.

Jo hn

L am

pa rs

ki /G

et ty

Im ag

es ©

H ea

th er

N ic

ai se

/S hu

tte rs

to ck

.c om

08202_ch12_ptg01.indd 407 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

408 CHAPTER 12 Learning, Memory, and Intelligence

synapses potentiated (more responsive to new input of the same type) for minutes, days, or weeks.

LTP shows three properties that make it an attractive candidate for a cellular basis of learning and memory:

●● specificity—If some of the synapses onto a cell have been highly active and others have not, only the active ones become strengthened. A failure of specificity is one cause of impaired learning (Ferando, Faas, & Mody, 2016).

●● cooperativity—Nearly simultaneous stimulation by two or more axons produces LTP more strongly than does repeated stimulation by just one axon.

●● associativity—Pairing a weak input with a strong input enhances later response to the weak input, as illustrated in Figure 12.18. In this regard, LTP matches what we would expect of Hebbian synapses. In some cases, a synapse that was almost completely inactive before LTP becomes effec- tive afterward (Kerchner & Nicoll, 2008).

The opposite change, long-term depression (LTD), a prolonged decrease in response at a synapse, occurs for ax- ons that have been less active than others, such as axon 3 in Figure 12.18 (Collingridge, Peineau, Howland, & Wang, 2010). You can think of this as a compensatory process. As one syn- apse strengthens, another weakens (Royer & Paré, 2003). If learning produced only a strengthening of synapses, then ev- ery time you learned something, your brain would get more and more active, constantly burning more and more fuel!

Biochemical Mechanisms Determining how LTP or LTD occurs has been a huge re- search challenge because each neuron has many tiny synapses, sometimes in the tens of thousands. Isolating the chemical changes at any synapse takes an enormous amount of creative, patient research. We shall discuss LTP in the hippocampus, where it occurs most readily and where its mechanisms have been most extensively studied.

& Kandel, 1988; Kandel & Schwartz, 1982). Strong stimula- tion on the skin excites a facilitating interneuron that releases serotonin onto the presynaptic terminals of many sensory neurons. Serotonin blocks potassium channels in these mem- branes. Because potassium now flows more slowly out of the cell, the membrane repolarizes more slowly after an action potential. Therefore, the presynaptic neuron continues re- leasing its neurotransmitter for longer than usual. Repeating this process causes the sensory neuron to synthesize new pro- teins that produce long-term sensitization (Bailey, Giustetto, Huang, Hawkins, & Kandel, 2000). This research shows how it is possible to explain one example of behavioral plasticity in terms of molecular events. Later studies explored mecha- nisms of classical and instrumental conditioning in Aplysia.

Siphon

Sensory neuron

Motor neuron

After habituation, no change in number of action potentials after a stimulation

No fatigue of the muscle

In habituation, decreased release of neurotransmitter at this synapse

Branch to other neurons

Muscle that retracts gill

Gill

Figure 12.17 Habituation of the gill-withdrawal reflex in Aplysia Touching the siphon causes gill withdrawal. After many repetitions, the response habituates (declines) because of decreased transmission at the synapse between the sensory neuron and the motor neuron. (Redrawn from “Neuronal mechanisms of habituation and dishabituation of the gill-withdrawal reflex in aplysia,” by V. Castellucci, H. Pinsker, I. Kupfermann, and E. Kandel, Science, 1970, 167, pp. 1745–1748. Copyright © 1970 by AAAS. Used by permission of AAAS and V. Castellucci.)

STOP & CHECK 17. When serotonin blocks potassium channels on the presyn-

aptic terminal, what is the effect on transmission?

ANSWER

17. Blocking potassium channels prolongs the action potential and therefore prolongs the release of neu- rotransmitters, producing an increased response.

Long-Term Potentiation in Vertebrates Since the work of Charles Sherrington and Santiago Ramón y Cajal, most neuroscientists have assumed that learning depends on changes at synapses, and the work on Aplysia supports that idea. The first evidence for a similar process among vertebrates came from studies of neurons in the rat hippocampus (Bliss & Lømo, 1973). The phenomenon, known as long-term potentiation (LTP), is this: One or more ax- ons connected to a dendrite bombard it with a rapid series of stimuli. The burst of intense stimulation leaves some of the

08202_ch12_ptg01.indd 408 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.3 Storing Information in the Nervous System 409

The AMPA receptor is a typical ionotropic receptor that opens sodium channels. However, the NMDA receptor’s response to glutamate depends on the degree of polarization across the membrane. When the membrane is at its resting potential, the NMDA receptor’s ion channel is usually blocked by magne- sium ions. Magnesium ions, positively charged, are attracted to the negative charge inside the cells but do not fit through the NMDA channel. The NMDA channel permits ions to flow through it only if the magnesium leaves, and the surest way to detach the magnesium is to depolarize the membrane, decreas- ing the negative charge that attracts it (see Figure 12.19).

Suppose an axon releases glutamate repeatedly. Better yet, let’s activate two axons repeatedly, side by side on the same dendrite. So many sodium ions enter through the AMPA channels that the dendrite becomes strongly depolarized. The depolarization displaces the magnesium molecules, en- abling glutamate to open the NMDA channel. At that point, both sodium and calcium enter through the NMDA channel (see Figure 12.20).

AMPA and NMDA Synapses In a few cases, LTP depends on changes at GABA synapses (Nugent, Penick, & Kauer, 2007), but in most cases, it depends on changes at glutamate synapses. The brain has several types of receptors for glutamate, its most abundant transmitter. Neuroscientists identify types of dopamine receptors by num- ber, such as D1 and D2, and GABA receptors by letter, such as GABAA. They identify serotonin (5-hydroxytryptamine) synapses by both letter and number, such as 5HT2C. For gluta- mate, they named the receptors after certain drugs that stimu- late them. Here we are interested in two types of glutamate receptors, called AMPA and NMDA. The AMPA receptor is excited by the neurotransmitter glutamate, but it can also re- spond to a drug called a-amino-3-hydroxy-5-methyl-4-isoxa- zolepropionic acid (abbreviated AMPA). The NMDA receptor is also ordinarily excited only by glutamate, but it can respond to a drug called N-methyl-D-aspartate (abbreviated NMDA).

Both are ionotropic receptors. That is, when they are stimu- lated, they open a channel to let ions enter the postsynaptic cell.

4

2

0

0 10 20 30 40

Time (min)

Simultaneous strong activation of two axons

EP SP

in A

xo n

2, m

ea su

re d

in m

V

50 60 70

LTP

Baseline response

Prolonged enhanced response

Axon 1 Strong stimulation

Axon 3 No stimulation

Axon 2 Weak stimulation

Synapse strengthened

Synapse not strengthened, probably weakened

Synapse strengthened

Figure 12.18 Associativity in long-term potentiation The response to axon 2 is initially weak. Briefly pairing it with rapid stimulation in axon 1 strongly depolarizes the dendrite. Afterward, the response to axon 2 (as well as axon 1) is enhanced.

08202_ch12_ptg01.indd 409 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

410 CHAPTER 12 Learning, Memory, and Intelligence

to the nucleus of the cell and regulates the expression of sev- eral genes. In some cases, the altered gene expression lasts for months or years, long enough to account for long-term memory (Miller et al., 2010). It is an example of an epigen- etic change, depending on histone modifications (Halder et al., 2016). The effects of CaMKII are necessary for LTP and for certain types of learning. Because activated CaMKII remains at the stimulated synapse and does not diffuse elsewhere, it

The entry of calcium is the key to producing LTP. When calcium enters through the NMDA channel, it activates a protein called CaMKII (a-calcium-calmodulin-dependent protein kinase II) (Lisman, Schulman, & Cline, 2002; Otmak- hov et al., 2004). CaMKII sets in motion a series of reactions leading to release of a protein called CREB—cyclic adenos- ine monophosphate responsive element-binding protein. (You can see why it’s almost always abbreviated.) CREB goes

Axon releases

glutamate

Dendrite

(Nothing enters usually)

Magnesium ion blocking channel

Glutamate molecule attached to receptor

G G G

Na+

enters

Mg

AMPA receptor

NMDA receptor

G G

Figure 12.19 The AMPA and NMDA receptors before LTP Glutamate attaches to both receptors. At the AMPA receptor, it opens a channel to let sodium ions enter. At the NMDA receptor, it binds but usually fails to open the chan- nel, which is blocked by magnesium ions.

Axon releases

glutamate repeatedly

Dendrite, much depolarized

Displaced magnesium

molecule

Axon releases

glutamate repeatedly

G G G

G

G

G G

G G G G

G G G

AMPA receptor

Na+ and Ca++ enter

Mg++

NMDA receptor

Much Na+

enters Much Na+

enters

AMPA receptor

GG G

G

Figure 12.20 The AMPA and NMDA receptors during LTP If one or more AMPA receptors have been repeatedly stimulated, enough sodium enters to largely depolarize the dendrite’s membrane. Doing so displaces the magnesium ions and enables glutamate to open the NMDA receptor, through which sodium and calcium enter.

08202_ch12_ptg01.indd 410 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.3 Storing Information in the Nervous System 411

maintenance of LTP that was already established (Gustafsson & Wigström, 1990; Uekita & Okaichi, 2005). In other words, once LTP occurs, the AMPA receptors stay potentiated, re- gardless of what happens to the NMDAs.

Presynaptic Changes The changes just described occur in the postsynaptic neuron. In many cases, LTP depends on changes in the presynaptic neuron instead or in addition. Extensive stimulation of a post- synaptic cell causes it to release a retrograde transmitter that travels back to the presynaptic cell to modify it. In many cases, that retrograde transmitter is nitric oxide (NO). As a result, a presynaptic neuron decreases its threshold for pro- ducing action potentials (Ganguly, Kiss, & Poo, 2000), in- creases its release of neurotransmitter (Zakharenko, Zablow, & Siegelbaum, 2001), expands its axon (Routtenberg, Can- tallops, Zaffuto, Serrano, & Namgung, 2000), and releases its transmitter from additional sites along its axon (Reid, Dixon, Takahashi, Bliss, & Fine, 2004). When both presynaptic and postsynaptic changes contribute to LTP, the result is greater precision and stability of learning (Costa, Froemke, Sjöström, & van Rossum, 2015).

Research on LTP shows us a mechanism whereby experi- ence can alter the input–output properties of a neuron. Many studies have shown that LTP is important for learning and that interfering with LTP interferes with learning. However, it should be clear that understanding LTP is just one step toward understanding learning. Except for the simplest cases of clas- sical conditioning, learning requires more than just increasing the response to a stimulus. Researchers will need to continue exploring how the wiring diagram makes possible all the com- plexities of a learned response.

is responsible for the specificity aspect of LTP—the fact that only the highly activated synapses become strengthened (Lis- man, Yasuda, & Raghavachari, 2012; Redondo & Morris, 2011; Wang et al., 2009).

The effects of CaMKII and CREB are magnified by BDNF—brain-derived neurotrophic factor, a neurotrophin similar to nerve growth factor. Persisting activity at syn- apses leads to action potentials that start in axons but back- propagate into the dendrites, which then release BDNF. The formation and maintenance of LTP depends on all these chemicals—CaMKII, CREB, and BDNF (Kuczewski et al., 2008; Minichiello, 2009; Silva, Zhou, Rogerson, Shobe, & Ba- laji, 2009), as well as others. When neurons are repeatedly activated, only those with the greatest production of these chemicals will undergo LTP (Han et al., 2007).

In some cases, LTP depends on mechanisms that increase the responsiveness of AMPA receptors (Lauterborn et al., 2016; Lisman et al., 2012). In many other cases it depends on building new branches of dendrites and synapses with either AMPA or NMDA receptors. Figure 12.21 shows an example (Zhang, Cudmore, Lin, Linden, & Huganir, 2015). Many of the new synapses that develop in the hippocampus last only weeks and are perhaps a bridge toward more permanent stor- age elsewhere (Attardo, Fitzgerald, & Schnitzer, 2015).

Let’s summarize: When glutamate massively stimulates AMPA receptors, the resulting depolarization enables gluta- mate to stimulate nearby NMDA receptors also. Stimulation of the NMDA receptors lets calcium enter the cell, where it sets into motion a series of changes that build new glutamate synapses or increase response to glutamate at existing AMPA receptors. After LTP occurs, NMDA receptors revert to their original condition.

Once LTP has been established, it no longer depends on NMDA synapses. Drugs that block NMDA synapses prevent the establishment of LTP, but they do not interfere with the

Figure 12.21 Added synapses as a result of LTP These photos show part of one mouse dendrite before and three hours after the onset of LTP. The areas in white indicate glutamate synapses. (Source: From “Visualization of NMDA receptor-dependent AMPA receptor synaptic plasticity in vivo,” by Y. Zhang, R. H. Cudmore, D.-T. Lin, D. J. Linden, & R. L. Huganir, 2015, Nature Neuroscience, 18, 402–407.)

STOP & CHECK 18. Before LTP: In the normal state, what is the effect of gluta-

mate at the AMPA receptors? At the NMDA receptors? 19. During the formation of LTP, when a burst of intense stimu-

lation releases much more glutamate than usual at two or more incoming axons, what is the effect of the glutamate at the AMPA receptors? At the NMDA receptors?

20. After the neuron has gone through LTP, what is now the effect of glutamate at the AMPA receptors? At the NMDA receptors?

ANSWERS

18. Before LTP, glutamate stimulates AMPA receptors but usually has little effect at the NMDA receptors because magnesium blocks them. 19. During the formation of LTP, the massive glutamate input strongly stimulates the AMPA receptors, thus depolarizing the dendrite. This depolarization enables glutamate to excite the NMDA receptors also. 20. After LTP has been established, gluta- mate stimulates the AMPA receptors more than before, mainly because of an increased number of AMPA receptors. At the NMDA receptors, it is again usually ineffective.

08202_ch12_ptg01.indd 411 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

412 CHAPTER 12 Learning, Memory, and Intelligence

removes b-amyloids, so theoretically it seems a reasonable candidate for improving memory. The research suggests that it may help some people’s memory, but again the ben- efits emerge only after taking the herb for months (Stough & Pase, 2015). Don’t expect any help for your test next week. Flavonols are chemicals found in Chinese tea, some cocoa and chocolate, and certain fruits and vegetables. Very limited research suggests that they sometimes improve performance on certain types of memory tasks, at least in older adults (Brickman et al., 2014).

Researchers have found several ways to enhance memory in mice by altering gene expression, but each benefit comes with a cost. Mice with increased expression of a gene that enhances NMDA receptors show faster learning, but also chronic pain. Mice with another variant gene learn complex mazes faster than usual, but are worse than average at learn- ing simple mazes. Another type of mouse learns quickly, but at the cost of learning fears quickly and failing to unlearn the fears later (Lehrer, 2009). Research with humans found that electrical stimulation to parts of the parietal or prefrontal cortex could improve certain types of memory, but always at the cost of impairing a different type of memory (Iuculano & Kadosh, 2013).

Yet another possibility, transcranial direct current stimu- lation, consists of applying a nonpainful 1 to 2 milliamp cur- rent to the scalp. The procedure has shown promising results for treating depression, chronic pain, Parkinson’s disease, and other conditions, and possibly helps people improve attention and memory. However, the procedure sometimes improves performance on one task while impairing another. It can also be dangerous if the electrodes are improperly placed or if the duration is too long (Maslen, Douglas, Cohen Kadosh, Levy, & Savulescu, 2014).

Behavioral methods to improve memory are still the best bet. If you want to remember something later, study it well now, rehearse it later, and periodically test yourself. Consis- tent physical exercise also improves memory, as do good nu- trition, adequate sleep, and stress management (Chapman et al., 2013; Smith & Farah, 2011).

Improving Memory One reason for studying LTP and other biological mecha- nisms is the hope that it might lead to practical applications. LTP depends on production of several proteins, and enhanc- ing production of these proteins enhances memory in rodents (Routtenberg et al., 2000; Shema et al., 2011). Drugs that in- hibit their production weaken memory, even if the drugs are given days after the training (Shema, Sacktor, & Dudai, 2007). Several pharmaceutical companies are investigating drugs that might improve memory by enhancing LTP, but so far nothing is available. As in the rest of medicine, many drugs that show promise in animal studies have unacceptable side effects when applied to humans.

The one type of medication that does aid memory— sometimes—is a stimulant drug such as caffeine, amphet- amine, or methylphenidate (Ritalin). Although buying or selling amphetamine or methylphenidate without a prescrip- tion is illegal, many college students and some high school students have obtained the drugs and tried them at least once. The research suggests that the increased energy slightly im- proves memory and cognition for average or below-average students, but provides little or no benefit and maybe even harm for the best students. Little is known about the health consequences of prolonged use (Ilieva, Hook, & Farah, 2015; Smith & Farah, 2011).

Modafinil, another stimulant drug, has been approved for treating narcolepsy and other conditions that impair wakeful- ness, but people have also tried it (without FDA approval) for enhancing cognition and memory. The limited research so far suggests improvement on complex tasks, but the research has not yet examined the risks that long-term, repeated use might entail (Battleday & Brem, 2015).

You may have heard claims that the herb Ginkgo biloba improves memory. Drug companies face stiff regulation by the Food and Drug Administration before they can market a new drug, but a company marketing an herb or other natu- rally occurring substance does not have to demonstrate ef- fectiveness, provided that the label or advertisement does not claim medical benefits. You may also notice that the ads for pills containing Ginkgo biloba leave it to your imagina- tion what good, if any, this supplement does. Most of the research on Ginkgo biloba has been of low quality, and the results have been inconsistent (Yang, Wang, Sun, Zhang, & Liu, 2016). The benefits, if any, seem to be limited to people with Alzheimer’s disease or similar conditions, and develop only after people have taken the herb for months (Stough & Pase, 2015).

Another herb, Bacopa monnieri, also known as water hyssop, has been used in India since the sixth century for several mental conditions. It works as an antioxidant and

STOP & CHECK 21. Researchers have found several ways of improving memory

in rodents, including genetic modification. Why do we not apply these methods to humans?

ANSWER

21. So far, every such method comes with disadvantages. Although improving functioning in one way, it causes problems in another.

08202_ch12_ptg01.indd 412 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.3 Storing Information in the Nervous System 413

The Physiology of Memory

Why do we care about the physiology of memory? Some day our understanding may lead to practical applications. The theoretical importance is also important. Explaining mem- ory in chemical terms underscores the idea of monism: Our

experiences, our thoughts, and our memories are manifesta- tions of chemical processes. All the researchers manipulating chemicals at tiny synapses are in a very real sense trying to help us understand human nature.

Module 12.3 In Closing

Summary 1. A Hebbian synapse becomes stronger when the presyn-

aptic neuron releases transmitters in conjunction with an action potential in the postsynaptic neuron. 406

2. Habituation of the gill-withdrawal reflex in Aplysia depends on a mechanism that decreases the release of transmitter from a particular presynaptic neuron. 407

3. Sensitization of the gill-withdrawal reflex in Aplysia occurs when serotonin blocks potassium channels in a presynaptic neuron and thereby prolongs the release of transmitter from that neuron. 407

4. Long-term potentiation (LTP) is an enhancement of response at certain synapses because of a brief but intense series of stimuli delivered to a neuron, generally by two or more axons delivering simultaneous inputs. 408

5. If axons are active at a very slow rate, their synapses may decrease in responsiveness—a process known as long- term depression (LTD). 408

6. LTP in hippocampal neurons occurs as follows: Repeated glutamate excitation of AMPA receptors depolarizes the

membrane. The depolarization removes magnesium ions that had been blocking NMDA receptors. Glutamate is then able to excite the NMDA receptors, opening a chan- nel for calcium ions to enter the neuron. 409

7. When calcium enters through the NMDA-controlled channels, it activates a protein that sets in motion a series of events that increase receptor response or build addi- tional synapses. These changes increase the later response to glutamate. 410

8. At many synapses, LTP relates to increased release of transmitter from the presynaptic neuron, in addition to or instead of changes in the postsynaptic neuron. 411

9. Although researchers hope to develop drugs or proce- dures to improve memory, at this point no procedure is clearly safe and effective for healthy people hoping to boost performance. The best way to improve memory is to learn the material well and practice it. 412

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

AMPA receptor 409 associativity 408 BDNF 411 cooperativity 408

habituation 407 Hebbian synapse 406 long-term depression (LTD) 408 long-term potentiation (LTP) 408

NMDA receptor 409 retrograde transmitter 411 sensitization 407 specificity 408

1. If a synapse has already developed LTP once, should it be easier or more difficult to get it to develop LTP again? Why?

2. The use of performance-enhancing drugs in sports is considered unethical and for most competitions

illegal. Should we consider it unethical for people to use amphetamine or other performance-enhancing drugs when they are taking tests or otherwise compet- ing academically?

Thought Questions

08202_ch12_ptg01.indd 413 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

414 CHAPTER 12 Learning, Memory, and Intelligence

Module 12.3 End of Module Quiz

1. What is true about a Hebbian synapse? A. It strengthens if its activity is associated with an

action potential in the postsynaptic cell. B. It can be either excitatory or inhibitory, depending on

the activity of other nearby synapses.

C. It includes either an AMPA site or an NMDA site. D. It can send messages between cells in either

direction.

2. Cells that fire together wire together . . . but only if which of the following? A. The cells are close together. B. Both cells release the same neurotransmitter.

C. Both cells are in the cerebral cortex. D. One cell is excitatory and the other is inhibitory.

3. Why is Aplysia an appealing animal for studies of the physiology of learning? A. Its axon is thicker than that of mammals and therefore

easier to study. B. Unlike mammals, it uses only one neurotransmitter

and two types of receptors.

C. Compared to other invertebrates, it learns faster and remembers longer.

D. It has relatively few neurons, and they are the same from one individual to another.

4. What is responsible for habituation in Aplysia? A. Fatigue of the muscles B. Decreased response by the sense organs

C. Decreased hormonal secretions D. A change at a synapse

5. What is meant by the “cooperativity” of LTP? A. LTP is greater if two inputs are active together. B. LTP increases the response of many synapses, even

those that were not stimulated.

C. Pairing two stimuli leads to both habituation and sensitization.

D. Pairing two stimuli increases the response to the stronger one.

6. What excites NMDA receptors? A. The transmitter norepinephrine B. The transmitter NMDA

C. The transmitter glutamate, but only if other nearby synapses are silent

D. The transmitter glutamate, but only if the membrane is depolarized

7. During the formation of LTP, which ions enter at the NMDA receptors? A. Calcium and magnesium B. Iron and magnesium

C. Sodium and potassium D. Calcium and sodium

8. What does CaMKII do? A. It displaces magnesium and therefore permits gluta-

mate to open calcium channels. B. It releases a protein that alters the expression of sev-

eral genes.

C. It diffuses from one synapse to another within the postsynaptic neuron.

D. It sends a message back to the presynaptic neuron to alter its release of neurotransmitters.

9. How effective is Ginkgo biloba for improving memory? A. Possible benefits for older people who take the herb

for months B. Possible benefits for people whose memory was

already strong

C. Possible benefits at first, but gradually weakening effects over time

D. Possible benefits for classical conditioning, but not for other learning or memory

Answers: 1A, 2A, 3D, 4D, 5A, 6D, 7D, 8B, 9A.

08202_ch12_ptg01.indd 414 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

415

Intelligence

that within a family of animals, the larger species, which have proportionately larger brains, learn faster and retain their learning better than smaller species. For example, larger ro- dents do better than smaller rodents, and larger species in the chicken family do better than smaller ones. However, this trend does not hold when we compare species from separate families. In particular, we humans like to think of ourselves as the most intelligent animals—after all, we get to define what intelligence means!—but whales and elephants have larger brains than we do.

Might intelligence depend on brain-to-body ratio? Figure 12.22 illustrates the relationship between logarithm of body mass and logarithm of brain mass for various verte- brates (Jerison, 1985). Note that the species we regard as most intelligent—such as, ahem, ourselves—have larger brains in proportion to body size than do the species we consider less impressive, such as frogs.

Intelligence, a difficult concept to define, includes learning, memory, reasoning, and problem solving. One of the first discoveries from psychological research was Charles Spear- man’s (1904) report that, as a rule, all measures of cognitive performance correlate positively with one another. That is, most people who are above average in math, spatial skills, lan- guage, logical reasoning, or any other cognitive skill are above average on most of the others also. Many psychologists have therefore assumed that all the skills share a single underly- ing factor of general intelligence, known as g. However, the fact that various skills correlate does not necessarily mean that they measure the same thing. Across a large number of people, the size of one brain area correlates positively with the size of any other brain area, just because health, nutrition, and other factors support the growth rate of all areas. Thus, the skills dependent on one brain area could correlate with those of another area even if they do not rely on an underlying gen- eral ability. For certain purposes we may find it convenient to talk about general intelligence, just as we talk about general athletic ability, but we should also remember that some people are intelligent in one way and not so much in another, just as people can excel in one athletic skill and not another.

Brain Size and Intelligence People sometimes use the term brainy to mean intelligent. We tend to assume that bigger brains are better, but it is not that simple.

In the 1800s and early 1900s, several societies arose whose members agreed to donate their brains after death for research. No conclusion resulted. The brains of the eminent varied con- siderably, as did those of less eminent people. If brain anatomy were related to intellect in any way, the relation wasn’t obvious (Burrell, 2004). Of course, achieving eminence depends also on opportunity, effort, and a bit of luck, not just intellectual abil- ity. Still, the idea lingers: Even if brain size isn’t strongly related to intelligence, shouldn’t it have some relationship?

Comparing Species All mammalian brains have the same organization, but they differ greatly in size. Does a larger brain mean greater intel- ligence? Long ago, Bernhard Rensch (1964) demonstrated

Module 12.4

4

2

0

–2

–3 –2 –1 0 1 2 3 4 5

Human Primates

Nonprimate mammals

Birds

Reptiles

Fish

Amphibians

Log of body mass

Lo g

o f

b ra

in m

as s

Figure 12.22 Relationship of brain mass to body mass across species Each species is one point within one of the polygons. In general, log of body mass is a good predictor of log of brain mass. Primates in general and humans in particular have a large brain mass in proportion to body mass. (Source: Adapted from Jerison, 1985)

08202_ch12_ptg01.indd 415 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

416 CHAPTER 12 Learning, Memory, and Intelligence

Human Data For many years, studies of human brain size and intelligence found correlations barely above zero. However, a low corre- lation between two variables can mean either that they are unrelated, or that at least one of the variables was measured poorly. Most early studies measured skull size, but skull size does not correlate perfectly with brain size. (For one thing, some people are thick skulled!) Today, using more accurate measurements based on MRI, most studies find a moder- ate positive correlation between brain size and IQ score, av- eraging about 0.24 (Pietschnig, Penke, Wicherts, Zeiler, & Voracek, 2015).

Intelligence scores correlate especially with the surface area of cerebral cortex in the frontal and parietal cortex, but also with certain subcortical areas including the caudate nucleus (Basten, Hilger, & Fiebach, 2015; Colom et al., 2013; Fjell et al., 2015; Grazioplene et al., 2015; Gregory et al., 2016; Vuoksimaa et al., 2015). The surface area is the part of the brain dense with cell bodies, so this result fits with the idea that intelligence depends on the number of neurons. However, intelligence also correlates with the amount of white matter, so both neurons and the connections among neurons are im- portant (Chiang et al., 2009; Myers et al., 2014; Narr et al., 2007; Ritchie et al., 2015; van Leeuwen et al., 2009).

So far, all this sounds reasonably clear, except for this prob- lem: Men on average have about 10 percent larger brains than

However, brain-to-body ratio has limitations also: Chihuahuas have the highest brain-to-body ratio of all dog breeds, not because they were bred for intelligence but because they were bred for small bodies (Deacon, 1997). Squirrel monkeys and marmosets have a higher brain-to- body ratio than humans. (And because of the increasing prevalence of human obesity, our brain-to-body ratio is declining!) The elephant-nose fish, which you might keep in an aquarium, has a 3 percent brain-to-body ratio com- pared to 2 percent for humans (Nilsson, 1999). The tiniest ants have a 15 percent brain-to-body ratio (Seid, Castillo, & Wcislo, 2011). So neither total brain mass nor brain-to- body ratio puts humans in first place.

However, humans do lead in one aspect, by a consider- able margin: total number of neurons. Although whales and elephants have larger brains than humans, their neurons are larger and more spread out. Although marmosets have a greater brain-to-body ratio than humans, marmosets’ bodies are much smaller, and therefore their brains and neuron num- ber are smaller. As Figure 12.23 illustrates, humans do have the largest number of brain neurons (Herculano-Houzel, 2011a). In most animal families, the species with larger brains also have larger neurons, so that the ones with larger brains have only modestly larger numbers of neurons. In primates, however, the species with larger brains have the same size neurons as those with smaller brains, and so humans’ neuron total is much elevated (Herculano-Houzel, 2012).

Thus, total number of neurons may be a reasonable correlate of intelligence. Further support for this idea comes from the observation that birds in the crow and parrot families, which have demonstrated impressive problem-solving skills, have as many neurons as a small monkey, because crows’ and parrots’ neurons are so tightly packed (Dicke & Roth, 2016; Olkowicz et al., 2016). Intelligence, of course, also depends on much else, including the strength of various connections in the brain (Santarnecchi, Galli, Polizzotto, Rossi, & Rossi, 2014) and all the chemicals affecting long-term potentiation.

This discussion, of course, presupposes that we can evalu- ate the relative intelligence of various animal species. At a gross level we can agree easily. Chimpanzees are smart, rats less so, and worms still less. However, problems arise when we try to make fine distinctions or compare species that have very dif- ferent ways of life (Macphail, 1985). Sometimes a species that fails on one test excels on another. Can you imagine any fair way to compare the intelligence of chimpanzees and dolphins?

Percent of maximum

50 1000

Marmoset 8g

Gorilla 500 g

Human 1330 g

Elephant 4150 g

Whale 5815 g

Marmoset 2.7

Gorilla 0.5

Human 2.0

Elephant 0.1

Whale 0.1

Marmoset 1.2 billion

Gorilla 33 billion

Human 86 billion

Elephant 23 billion

Whale 21billion

Brain mass

Brain- body ratio

Brain neurons

Figure 12.23 Three ways of comparing brains across species Humans do not have the largest brain mass or the largest brain-to-body ratio, but we do have the largest number of brain neurons. (Source: Based on the best available estimates, from Herculano-Houzel, 2011a.)

STOP & CHECK 22. Why are both brain size and brain-to-body ratio unsatisfac-

tory ways of estimating animal intelligence?

ANSWER

22. If we consider ourselves to be the most intelligent spe- cies, we are confronted with the fact that we have neither the largest brains nor the highest brain-to-body ratios. Total neuron number is a more promising correlate of intelligence.

08202_ch12_ptg01.indd 416 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.4 Intelligence 417

The apparent link between intelligence and the num- ber of neurons (or number of synapses, which correlates strongly) is theoretically interesting, but it takes us only so far. The correlation is certainly not high enough to justify using brain measurements to make any decisions about an individual. If you want to identify smart people, you attend to what people say and do, not their brain measurements, just as you would identify good athletes by watching their performance instead of measuring muscle size. Furthermore, a good understanding of either brain processes or psycho- logical processes requires analysis of the more detailed ways in which each brain area contributes to specific aspects of behavior and experience.

women but equal IQs (Burgaleta et al., 2012; Gilmore et al., 2007; Willerman, Schultz, Rutledge, & Bigler, 1991; Witelson, Beresh, & Kigar, 2006). On average, women do somewhat bet- ter than men on certain aspects of language, including fluency, and on average men do somewhat better than women on cer- tain spatial skills, including the items in Figure 12.24 (Jirout & Newcombe, 2015). Contrary to what many people believe, girls’ grades in nearly all mathematics courses are at least as good as boys’ grades from elementary school through college. Over- all intelligence is equal for males and females (Hyde, Lindberg, Linn, Ellis, & Williams, 2008; Spelke, 2005).

How can we explain why men and women are equal in intellect, despite the fact that men have a larger brain? First, women average more and deeper sulci on the surface of the cortex, especially in the frontal and parietal areas (Luders et al., 2004). Consequently, the surface area of the cortex is almost equal for men and women, and therefore the num- ber of neurons is also approximately equal (Allen, Damasio, Grabowski, Bruss, & Zhang, 2003).

Second, male and female brains are organized somewhat differently. On average, the parietal and occipital areas of the cortex are thicker in females than in males, whereas several other areas are thicker in males (Savic & Arver, 2014). Also, the pattern of connections differs between the sexes, on aver- age, including stronger connections between the two hemi- spheres in females (Gong, He, & Evans, 2011; Tunc et al., 2016). Some of the anatomical differences probably relate to behavioral differences. For example, Broca’s area, long associ- ated with language production, tends to have more gray mat- ter in female than male brains (Kurth, Jancke, & Luders, 2017). However, it is also likely that some of the brain differences have evolved to prevent behavioral differences! That is, female brains may be organized somewhat differently to produce the same intellectual abilities as the somewhat larger male brains (Grabowska, 2017).

Can the set of blocks on the left be rotated to match the set at the right?

Which of the lines at the left has the same angle as the one at the right?

a b

c d e f g

Figure 12.24 A spatial rotation task People are presented with a series of pairs such as this one and asked whether the first figure could be rotated to match the second one. Here the answer is no. For the line-angle question, the correct answer is e.

STOP & CHECK 23. Why do recent studies show a stronger relationship between

brain size and IQ than older studies did? 24. How do researchers explain why males and females are

equal in intelligence despite differences in brain size?

ANSWERS

23. The use of MRI greatly improves the measurement of brain size, in comparison to measurements based on the skull. 24. Women’s brains, having deeper sulci, include approximately the same number of neurons as men’s brains. Also, women’s brains have different patterns of connections.

Genetics and Intelligence As with almost any important psychological variable, varia- tions in intelligence reflect contributions from both genetic and environmental influences. Evidence for a genetic effect includes the observation that monozygotic twins resemble each other more strongly than do dizygotic twins on tests of overall intelligence, specific cognitive abilities, and brain volume (Bishop et al., 2003; Haworth et al., 2010; McGue & Bouchard, 1998; Posthuma et al., 2002). Monozygotic twins resemble each other even if they are reared in separate homes (Bouchard & McGue, 1981; Farber, 1981).

Heritability increases as people grow older, presumably because high-performing people gravitate toward educational opportunities and challenging activities that facilitate whatever genetic predispositions were present (Haworth et al., 2010; Ly- ons et al., 2009; Tucker-Drob & Bates, 2016). For example, the scores for monozygotic twins become more and more alike. Also, although the IQ scores of adopted children correlate moderately with those of their adoptive parents and adoptive siblings, as they grow older, the correlation with their adoptive relatives generally decreases while the correlation with their biological parents increases (Loehlin, Horn, & Willerman, 1989; Plomin, Fulker, Corley, & DeFries, 1997; Segal, McGuire, & Stohs, 2012). Nevertheless, even in young adulthood, some influence from the adoptive parents is demonstrable (Kendler, Turkheimer, Ohlsson, Sundquist, & Sundquist, 2015).

08202_ch12_ptg01.indd 417 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

418 CHAPTER 12 Learning, Memory, and Intelligence

How did we manage to evolve such a large brain, whereas other species did not? The brain is a metabolically expensive organ. The human brain constitutes 2 percent of the body’s mass, but consumes 20 percent of its fuel. The liver and di- gestive tract also consume a disproportionate amount of fuel. Reproduction also requires a great deal of energy. When researchers selectively bred guppies (small fish) for larger brains, they found that these guppies had less energy available for other organs and functions. In particular, the guppies pro- duced fewer offspring than average (Kotrschal et al., 2013). In a world where most baby fish get eaten, sacrificing babies for big brains would be a bad bet, evolutionarily.

For our remote ancestors to evolve such large brains, they needed to get a great deal of nutrition, but they also needed to reduce the energy spent on other functions. Our upright walk- ing is efficient and saves energy (Pontzer et al., 2016). At some point in our early evolutionary history, our ancestors learned to cook their food, making it easier to digest. Thus, they could evolve a smaller digestive tract than other primates, using less energy. Also, our early ancestors hunted in groups, bringing back more food than one person alone could find, and often they ate seafood, rich in nutrition. Furthermore, humans dif- fer from chimpanzees in two genes responsible for glucose transport: We have more of the protein that transports glu- cose into the brain, and less of the protein that transports it into the muscles (Fedrigo et al., 2011). Thus, we devote more energy to our brains and less to physical strength. Hunting in groups and making tools for weapons made it possible to get food without using such big muscles.

Our remote ancestors also decreased the energy required for reproduction. Compared to most species, women bear fewer offspring over a lifetime, but devote enough care to in- crease the probability of survival. Also, human life span is un- usually long, compensating for the lower frequency of births. A further essential is cooperation. Humans are inclined to cooperate. Even young children spontaneously learn to take turns, unlike chimpanzees (Melis, Grocke, Kalbitz, & Toma- sello, 2016). Persisting male-female bonds, family groups, and food sharing within a community greatly reduced the burden on each mother and made it less demanding to raise an infant (Fletcher, Simpson, Campbell, & Overall, 2015; Isler & van Schaik, 2009).

Heritability of intellectual performance is lower, how- ever, for people who grow up in impoverished conditions and children who attend lower-quality schools (Bates, Lewis, & Weiss, 2013; Schwartz, 2015). Evidently genetic variations influence how well someone can take advantage of opportu- nities, but if the opportunities are sparse, a genetic advantage goes to waste.

A great many genes that are widely expressed through- out the brain contribute to intelligence. Many of these genes are described as “intolerant of variation” (M. R. Johnson et al., 2016). That is, they are the same in almost everyone, and a mutation in any of these genes leads to intellectual disabili- ties (Ganna et al., 2016; Gilissen et al., 2014; Lelieveld et al., 2016). For people within the normal range of intelligence, re- searchers have identified dozens of gene variations that corre- late with measures of intelligence or academic success, but no common variant has a large effect by itself (Belsky et al., 2016; Davies et al., 2015; Okbay et al., 2016; Plomin et al., 2013). The same pattern holds for so much of psychology: Significant heritability, contributions from many genes, but no common gene with a major effect.

STOP & CHECK 25. The conclusion that genetic variation contributes to varia-

tions in human intelligence comes mainly from what type of evidence?

ANSWER

25. It is based largely on comparisons of monozygotic and dizygotic twins. Also, certain genetic mutations are known to produce intellectual disabilities, and many genetic variations are correlated with small variations of intelligence within the normal population.

Brain Evolution Except for the specializations related to language, human brains are organized the same way as those of other mam- mals, especially other primates. We have the same types of neurons, the same neurotransmitters, the same types of syn- apses, approximately the same ratio of neurons to glia cells, the same ratio of cortex to cerebellum, and so forth (Harris & Shepherd, 2015; Herculano-Houzel, 2012). Nearly all the differences between humans and other species are quanti- tative. Just a few genetic differences between humans and other primates are enough to cause more rapid and more prolonged production of neurons during embryological de- velopment, leading to a larger cerebral cortex and a larger number of neurons (Bakken et al., 2016; Herculano-Houzel, 2012; Pennisi, 2015).

STOP & CHECK 26. Why were our ancient ancestors able to evolve larger num-

bers of neurons than other species?

ANSWER

26. Because of cooking, cooperative breeding, and upright locomotion, they were able to decrease the energy necessary for other organs and functions.

08202_ch12_ptg01.indd 418 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

12.4 Intelligence 419

Why Are We So Intelligent?

Humans are like other mammals in many ways, but we are also unusual. We cook our food, we share food, we cooperate for raising children, and we evolved big brains. All those adapta- tions had to happen together. The big brains were important

for cooking, sharing, and raising children. Cooking, sharing, and cooperatively raising children were essential for evolving big brains. The humans of today are the product of an amazing and very special evolutionary history.

Module 12.4 In Closing

Summary 1. Although several other species have larger brains or a

larger brain-to-body ratio, the human brain has more neurons than any other species. 415

2. Among humans, intelligence has a moderate correlation with brain size, especially with the surface area of certain parts of the cerebral cortex. 416

3. Men and women are equal on average in their IQ scores, despite men having a larger brain. Because women have deeper sulci in the cortex, women and men have approxi- mately the same number of neurons. 417

4. Men’s and women’s brains are organized somewhat differ- ently, either to produce differences in behavior or perhaps to prevent them. 417

5. Both heredity and environment contribute to variations in human intelligence. 417

6. Many genes are necessary for normal intelligence, and a mutation in any of them can lead to intellectual deficits. Within the normal range of human intelligence, many genes exert small effects. 418

7. Ancient humans were able to evolve a larger brain and more neurons because they needed less energy than other species for locomotion, digestion, and reproduction. 418

Key Term Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

g 415

If we discover that another planet has intelligent life, what kind of message could we send that they might understand?

Thought Question

Module 12.4 End of Module Quiz

1. In what way, if any, does the human brain exceed those of all other species? A. Humans have a larger number of neurons. B. Humans have the largest brain-to-body ratio.

C. Humans have the largest brain volume. D. Humans do not exceed all other species in any regard.

2. Of the following, which correlates most strongly with intelligence? A. The ratio of excitatory to inhibitory synapses B. The ratio of neurons to glia cells

C. The surface area of the cerebral cortex D. The strength of connections between the cerebral

cortex and the cerebellum

3. In which way are men’s and women’s brains most similar? A. Total volume B. Number of neurons

C. Depth of sulci in the cerebral cortex D. Amount of white matter

08202_ch12_ptg01.indd 419 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

420 CHAPTER 12 Learning, Memory, and Intelligence

Answers: 1A, 2C, 3B, 4B, 5B, 6C, 7D.

4. What happens to the heritability of intelligence, as people grow older? A. It decreases. B. It increases.

C. It remains constant. D. It increases until puberty and then decreases.

5. The heritability of intelligence appears to be lowest under which of these conditions? A. A middle-class environment B. An impoverished environment

C. An all-male population D. An all-female population

6. When researchers selectively bred guppies for large brains, which of these occurred? A. The guppies developed richer social behaviors. B. The guppies decreased their appetite.

C. The guppies decreased their reproduction. D. The guppies increased their activity levels.

7. Which of these enabled humans to evolve a larger brain? A. Evolving a larger digestive tract B. Increased overall activity levels

C. A vegetarian diet D. Learning to cook food

Corkin, S. (2013). Permanent present tense. New York: Basic Books. Thorough account of the life of amnesia patient Henry Molaison and psychologists’ research on his memory.

Eichenbaum, H. (2002). The cognitive neuroscience of mem- ory. New York: Oxford University Press. Thoughtful treatment of both the behavioral and physiological aspects of memory.

Suggestions for Further Reading

08202_ch12_ptg01.indd 420 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch12_ptg01.indd 421 9/14/17 10:54 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch13_ptg01.indd 422 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

423

Research on the biology of vision, hearing, movement, and memory makes steady progress, because researchers can measure the stimuli and behaviors reasonably well. Language, attention, thinking, and decision making are harder

to measure, and therefore harder to study. Nevertheless, many of the results

are fascinating. After damage to the corpus callosum, which connects the

two hemispheres, people act as if they have two fields of awareness—separate

“minds,” you might say. With damage to certain areas of the left hemisphere,

people lose their language abilities, while remaining unimpaired in other ways.

Researchers can now identify brain reactions that differ depending on whether

someone is or is not conscious of a stimulus. Certain types of brain damage

interfere with making good decisions or empathizing with others. We cannot

yet explain cognition in much detail, but progress is occurring in areas previ-

ously regarded as unapproachable.

Module 13.1

Lateralization and Language The Left and Right Hemispheres Visual and Auditory Connections

to the Hemispheres The Corpus Callosum and the Split-Brain

Operation Avoiding Overstatements Evolution of Language How Did Humans Evolve Language? Brain Damage and Language Dyslexia In Closing: Language and the Brain

Module 13.2

Conscious and Unconscious Processes The Mind–Brain Relationship Consciousness of a Stimulus Conscious and Unconscious People Attention In Closing: Attending to Attention and Being

Conscious of Consciousness

Module 13.3

Making Decisions and Social Neuroscience Perceptual Decisions Decisions Based on Values The Biology of Love Empathy and Altruism In Closing: Biology of Decisions and Social

Behavior

Chapter 13Cognitive Functions

Chapter Outline

After studying this chapter, you should be able to:

1. Identify the primary functions of the left and right hemispheres.

2. Describe the behavioral results from split- brain surgery.

3. Describe the attempts to teach language to nonhumans.

4. Explain why increased overall intelligence does not explain how humans evolved language.

5. Contrast Broca’s aphasia with Wernicke’s aphasia.

6. Discuss the biological basis for dyslexia. 7. Explain why nearly all neuroscientists and

philosophers favor some version of monism with regard to the mind–brain relationship.

8. Describe what brain activities differentiate between conscious and unconscious pro- cessing, and the types of research leading to these conclusions.

9. Describe research on the brain mechanisms of making decisions.

10. List some key findings about biological influences on social behavior.

Learning Objectives

Opposite:

Language may have evolved from our tendency to make gestures. (Daly & Newton/Getty Images)

08202_ch13_ptg01.indd 423 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

424

Module 13.1

Lateralization and Language

Symmetry is common in nature. The sun, stars, and planets are nearly symmetrical, as are most animals and plants. When an atom undergoes radioactive decay, it emits identical rays in exactly opposite directions. However, the human brain is asymmetrical. The left hemisphere has somewhat differ- ent functions from the right hemisphere. Why? Presumably, assigning different functions to the two hemispheres pro- vides some advantage. This module explores the distinctions between hemispheres, and then progresses to what we know about the biology of language.

The Left and Right Hemispheres The left hemisphere of the cerebral cortex connects to skin re- ceptors and muscles mainly on the right side of the body, and the right hemisphere connects to skin receptors and muscles mainly on the left side. The exception is that both hemispheres control the trunk muscles and facial muscles. The left hemi- sphere sees only the right half of the world, and the right hemi- sphere sees only the left half of the world. Each hemisphere gets auditory information from both ears but slightly stronger information from the contralateral ear. Why did brains evolve so that each hemisphere controls the contralateral side of the body? No one knows. Taste and smell, however, are uncrossed. Each hemisphere gets taste information from both sides of the tongue (Stevenson, Miller, & McGrillen, 2013) and smell in- formation from the nostril on its own side (Herz, McCall, & Cahill, 1999; Homewood & Stevenson, 2001).

According to fMRI data and other methods, the left hemisphere is dominant for speech production in more than 95 percent of right-handers and nearly 80 percent of left- handers (McKeever, Seitz, Krutsch, & Van Eys, 1995). Some strongly left-handed people have right-hemisphere dominance for speech, but most left-handers have either left-hemisphere control or a mixture of left- and right-hemisphere control (Flowers & Hudson, 2013). Although the right hemisphere does not produce speech, it can understand meaningful sentences (Huth, de Heer, Griffiths, Theunissen, & Gallant, 2016). The right hemisphere has other functions, as we shall see later. Division of labor between the two hemispheres is called lateralization.

The left and right hemispheres exchange informa- tion through a set of axons called the corpus callosum and

through the anterior commissure, the hippocampal commis- sure, and a couple of other small commissures (see Figure 13.1; see also Figures 3.10 and 3.13). If you had no corpus callosum,

Corpus callosum

(a)

(b)

Figure 13.1 Two views of the corpus callosum The corpus callosum is a large set of axons conveying information between the two hemispheres. (a) A sagittal section through the human brain. (b) A dissection (viewed from above) in which gray matter has been removed to expose the corpus callosum.

08202_ch13_ptg01.indd 424 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 425

your left hemisphere could react only to information from the right side of your body, and your right hemisphere could react only to information from the left. Because of the cor- pus callosum, however, each hemisphere receives infor- mation from both sides. Only after damage to the corpus callosum (or to one hemisphere) do we see clear evidence of lateralization.

Anatomical Differences between the Hemispheres Norman Geschwind and Walter Levitsky (1968) found that one section of the temporal cortex, the planum temporale (PLAY-num tem-poh-RAH-lee), is larger in the left hemi- sphere for 65 percent of people (see Figure 13.2). Sandra Wi- telson and Wazir Pallie (1973) examined the brains of infants who died before age 3 months and found that the left planum temporale was larger in 12 of 14. Later researchers demon- strated differences even in preterm infants (Hervé, Zago, Petit, Mazoyer, & Tzourio-Mazoyer, 2013). An fMRI study showed that even 2-month-old children activate the left hemisphere more than the right when they listen to speech, though not when they listen to music (Dehaene-Lambertz et al., 2010). So the hemispheres differ from the start.

Smaller but still significant differences are found be- tween left and right hemispheres of chimpanzees, bonobos, and gorillas (Hopkins, 2006). Many primates also show a preference for using either their right or left hand, as most humans do (Hopkins, Misiura, Pope, & Latash, 2015). Evi- dently, the specialization we see in the human brain built upon specializations already present in our apelike ancestors of long ago.

Visual and Auditory Connections to the Hemispheres Before we discuss lateralization in more detail, let’s consider the sensory connections to the brain. The hemispheres con- nect to the eyes such that each hemisphere sees the opposite half of the visual world. In rabbits and other species with eyes far to the side of the head, the left eye connects to the right hemisphere, and the right eye connects to the left. Human eyes are not connected to the brain in this way. Both of your eyes face forward, and both see both halves of the world.

In humans, each hemisphere is connected to half of each eye, as Figure 13.3 illustrates. Light from the right half of the visual field (what is visible at any moment) strikes the left half of each retina, which connects to the left hemisphere, which therefore sees the right visual field. Similarly, the left visual field strikes the right half of each retina, which connects to the right hemisphere. A small vertical strip down the center of each retina, covering about 5 degrees of visual arc, connects to both hemi- spheres (Innocenti, 1980; Lavidor & Walsh, 2004). In Figure 13.3, note how half of the axons from each eye cross to the opposite side of the brain at the optic chiasm (literally, the “optic cross”).

Right visual field left half of each retina left hemisphere

Left visual field right half of each retina right hemisphere

The auditory system is organized differently. Each ear sends the information to both sides of the brain, because any brain area that contributes to localizing sounds must compare input from both ears. However, each hemisphere does pay more attention to the ear on the opposite side (Hugdahl, 1996).

Anterior

Location of cut

Posterior Ventricles

Planum temporale

Planum temporale

Left Right

Posterior

Anterior

Figure 13.2 Horizontal section through a human brain This cut, just above the surface of the temporal lobe, shows the planum temporale, an area critical for speech comprehension. It is larger in the left hemi- sphere than in the right hemisphere. (Source: From “Human brain: Left-right asymmetries in temporal speech region,” by N. Geschwind and W. Levitsky, 1968, Science, 161, pp. 186–187. Copyright © 1968 by AAAS and N. Geschwind. Reprinted with permission.)

08202_ch13_ptg01.indd 425 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

426 CHAPTER 13 Cognitive Functions

The Corpus Callosum and the Split-Brain Operation Damage to the corpus callosum prevents the hemispheres from exchanging information. Occasionally, surgeons have severed the corpus callosum as a treatment for severe epilepsy, a condition characterized by repeated episodes of excessive synchronized neural activity. More than 90 percent of patients with epilepsy respond well to anti-epileptic drugs. However, if someone continues having frequent, severe seizures despite medication, physicians consider surgically removing the focus, the point in the brain where the seizures begin. The location of the focus varies from one person to another.

Removing the focus is not an option if someone has sev- eral foci, or if the focus is in an area considered essential for lan- guage. Therefore, in certain cases surgeons considered cutting the corpus callosum to prevent epileptic seizures from cross- ing from one hemisphere to the other. One benefit was that,

To left hemisphere

of brain

Left retina

Left visual �eld Right visual �eld

Right retina

Optic chiasm

To right hemisphere

of brain

Olfactory bulbs

Optic nerves

(cut)

Optic chiasm

Blood vessels

(a) (b)

Figure 13.3 Connections from the eyes to the human brain (a) The left hemisphere connects to the left half of each retina and thus gets visual input from the right half of the world. The opposite is true of the right hemisphere. (b) At the optic chiasm, axons from the right half of the left retina cross to the right hemisphere, and axons from the left half of the right retina cross to the left hemisphere.

STOP & CHECK 1. The left hemisphere of the brain is connected to the right eye

in guinea pigs. In humans, the left hemisphere is connected to the left half of each retina. Explain the reason for this species difference.

2. In humans, the right half of each retina receives visual infor- mation from which side of the world and sends its output to which hemisphere?

ANSWERS

1. In guinea pigs, the right eye is far to the side of the head and sees only the right visual field. In humans, the eyes point straight ahead and half of each eye sees the right visual field. 2. The right half of each retina receives input from the left half of the world and sends output to the right hemisphere, enabling the right hemisphere to see the left half of the world.

Co ur

te sy

o f D

r. Da

na C

op el

an d

08202_ch13_ptg01.indd 426 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 427

“I don’t know what it was. I didn’t see anything.” The talking left hemisphere did not know what the right hemisphere had seen.

Occasional exceptions arise to this rule. Because a small amount of information travels between the hemispheres through several smaller commissures, as shown in Figure 13.5, some split-brain people get enough information to give a par- tial description of what the right hemisphere saw (Berlucchi, Mangun, & Gazzaniga, 1997; Forster & Corballis, 2000).

Because the corpus callosum develops slowly, certain be- haviors of young children resemble those of split-brain adults. In one study, 3- and 5-year-old children were asked to feel two fabrics, either with one hand at two times or with two hands at the same time, and say whether the materials felt the same or different. The 5-year-olds did equally well with one hand or with two. The 3-year-olds made 90 percent more errors with two hands than with one (Galin, Johnstone, Nakell, & Herron, 1979). The likely interpretation is that the corpus callosum matures sufficiently between ages 3 and 5 to facilitate the comparison of stimuli between the two hands.

Rarely, a child fails to develop a corpus callosum. One con- sequence is that both hemispheres are active during speech (Hinkley et al., 2016). Evidently, at birth both hemispheres are capable of developing speech, but ordinarily the left hemisphere inhibits the development of speech by the right hemisphere. If the corpus callosum is damaged, this inhibition cannot occur.

as predicted, the person’s epileptic seizures affected only half the body. (The abnormal activity could not cross the corpus callosum, so it remained within one hemisphere.) A surprising bonus was that the seizures became less frequent. Evidently, epileptic activity rebounds back and forth between the hemi- spheres and prolongs a seizure. If it cannot bounce back and forth across the corpus callosum, a seizure may not develop at all. Although this surgery helped a fair number of patients, it has become obsolete, as other procedures have taken its place.

How does severing the corpus callosum affect other aspects of behavior? People who have undergone surgery to the corpus callosum, referred to as split-brain people, maintain their intel- lect and motivation, they walk and talk normally, and they use their hands together on familiar tasks such as tying shoes. How- ever, they struggle to use the hands together on tasks that they have not previously practiced (Franz, Waldie, & Smith, 2000).

Split-brain people can use the two hands independently in ways that other people cannot. For example, try drawing ø with your left hand while simultaneously drawing . with your right hand. Most people find this task difficult, but split- brain people do it with ease. Or try drawing circles with both hands simultaneously, but one of them just a little faster than the other (not twice as fast). Most people find this task difficult; split-brain people spontaneously draw the circles at differ- ent speeds (Kennerley, Diedrichsen, Hazeltine, Semjen, & Ivry, 2002).

Research by Roger Sperry and his students revealed behav- ioral effects when stimuli were limited to one side of the body (Nebes, 1974). In a typical experiment, a split-brain person stared straight ahead as the experimenter flashed words or pictures on one side of a screen, too briefly for the person to move the eyes (see Figure 13.4). Information going to one hemisphere could not cross to the other, because of the damage to the corpus callo- sum. The person could point with the left hand to what the right hemisphere saw, could point with the right hand to what the left hemisphere saw, and could talk about anything the left hemi- sphere saw. However, when the right hemisphere saw something, the person would point to it with the left hand, while saying,

HATBAND

(a) (b) (c)

Figure 13.4 Effects of damage to the corpus callosum (a) When the word hatband is flashed on a screen, (b) a woman with a split brain can report only what her left hemisphere saw, “band.” (c) However, with her left hand, she can point to a hat, which is what the right hemisphere saw.

TRY IT YOURSELF

STOP & CHECK 3. What can a split-brain person do that other people cannot do? 4. Can a split-brain person name an object after feeling it with

the right hand? With the left hand? Explain.

ANSWERS

3. A split-brain person can draw different things with their two hands at the same time, or move the hands at different speeds at the same time. 4. A split-brain person can describe something after feeling it with the right hand but not with the left. The right hand sends its information to the left hemisphere, which is dominant for language in most people. The left hand sends its information to the right hemisphere, which cannot speak.

08202_ch13_ptg01.indd 427 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

428 CHAPTER 13 Cognitive Functions

and you’re at page 5, or whatever. It’s better to let it go, pick it up with the right hand, and then turn to the right page. With your right hand, you correct what the left has done. (Dimond, 1979, p. 211)

Such conflicts become rare as time passes. The corpus cal- losum does not heal, but the brain learns to use the smaller connections between the left and right hemispheres (Myers & Sperry, 1985). In some situations, the hemispheres learn to cooperate. A split-brain person who was tested with the ap- paratus shown in Figure 13.4 used an interesting strategy to answer a yes–no question about what he saw in the left visual field. Suppose an experimenter flashes a picture in the left vi- sual field and asks, “Was it green?” The left (speaking) hemi- sphere takes a guess: “Yes.” That guess might be correct. If not, the right hemisphere, knowing the correct answer, makes the face frown. (Both hemispheres control facial muscles on both sides of the face.) The left hemisphere, feeling the frown, says, “Oh, I’m sorry, I meant ‘no.’”

Split Hemispheres: Competition and Cooperation In the first weeks after split-brain surgery, the hemispheres act like separate people sharing one body. One split-brain person repeatedly took items from the grocery shelf with one hand and returned them with the other (Reuter-Lorenz & Miller, 1998). She explained, “I’d reach with my right for the thing I wanted, but the left would come in and they’d kind of fight.” She had similar problems when she tried to get dressed, as each hand picked out different clothes and tried to put them on (Wolman, 2012). Another person—that is, his left hemisphere—described his experience as follows:

If I’m reading, I can hold the book in my right hand; it’s a lot easier to sit on my left hand, than to hold it with both hands. . . . You tell your hand—I’m going to turn so many pages in a book—turn three pages— then somehow the left hand will pick up two pages

Anterior commissure

Corpus callosum Thalamus

Hippocampus

Corpus callosum

Hippocampal commissures

Anterior commissure

Thalamus

Hippocampus

Figure 13.5 The anterior and hippocampal commissures These commissures exchange information between the two hemispheres, as does the larger corpus callosum. (Source: Based on Nieuwenhuys, Voogd, & vanHuijzen, 1988, and others)

08202_ch13_ptg01.indd 428 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 429

People with an intact left hemisphere relied on the left hemi- sphere’s analysis of what people were saying. Those with left- hemisphere damage relied on the right hemisphere’s more intuitive reactions to emotional expressions.

In another study, 11 patients went through a procedure in which one hemisphere at a time was anesthetized by drug injection into one of the carotid arteries, which provide blood to the head. (This procedure, called the Wada procedure, is sometimes used before certain kinds of brain surgery.) When they were tested with the right hemisphere inactivated, some- thing fascinating happened: They could still describe any of the sad, frightening, or irritating events they had experienced in life, but they remembered only the facts, not the emotion. One patient remembered a car wreck, another remembered visiting his mother while she was dying, and another remem- bered a time his wife threatened to kill him. But they denied they had felt any significant fear, sadness, or anger. When they described the same events with both hemispheres active, they remembered strong emotions. So evidently, when the right hemisphere is inactive, people do not experience strong emo- tions and do not even remember feeling them (Ross, Homan, & Buck, 1994).

When the right hemisphere does something, the left hemisphere doesn’t know why. So far as the left hemisphere is concerned, the true cause of the behavior was unconscious. How does it react? Rather than acting surprised, it invents an explanation. For example, if the right hemisphere sees some- thing pleasant or unpleasant, the left hemisphere feels the change of mood and might say, “What a beautiful wall that is!” or “Right now you are making me sad.” In one study, ex- perimenters flashed different pictures to the two hemispheres and asked the person to point to pictures associated with what he or she saw. In one case, the left hemisphere saw a chicken claw and the right hemisphere saw a snow scene. The right hand then pointed to a picture of a chicken and the left hand pointed to a shovel. When asked to explain why he pointed at a shovel, he replied that you would need a shovel to clean out the chicken shed. From observations like these, Michael Gazzaniga (2000) proposed the concept of the interpreter, the tendency of the left hemisphere to invent and defend ex- planations for actions, even when the true causes are uncon- scious. This feature is not limited to split-brain people. We all think we know why we are doing something, when in fact we might be wrong.

The Right Hemisphere After researchers discovered the importance of the left hemi- sphere for speech, they at first imagined the right hemisphere as something like a vice president, helping in a subordinate role but doing little unless the other hemisphere was damaged. Gradually observations showed that the right hemisphere has important functions of its own.

The right hemisphere is more adept than the left at com- prehending spatial relationships. For example, one young woman with damage to her posterior right hemisphere had trouble finding her way around, even in familiar areas. To reach a destination, she needed directions with specific visual details, such as, “Walk to the corner where you see a building with a statue in front of it. Then turn left and go to the corner that has a flagpole and turn right. . . .” (Clarke, Assal, & deTribolet, 1993). Curiously, people who have right-hemisphere domi- nance for speech have left-hemisphere dominance for spatial relationships (Cai, Van der Haegen, & Brysbaert, 2013).

The right hemisphere is more responsive to emotional stimuli than the left, such as perceiving the emotions in peo- ple’s gestures and tone of voice (Adolphs, Damasio, & Tranel, 2002). People with damage to the right hemisphere usually fail to understand humor and sarcasm (Beeman & Chiarello, 1998; H. J. Rosen et al., 2002).

In one fascinating study, people watched videotapes of 10 people. All 10 described themselves honestly during one speech and dishonestly during another. The task of the ob- servers was to guess which of the two interviews was the hon- est one. The task is more difficult than you might guess, and most people are no more correct than chance. The group that performed best was people with left-hemisphere brain dam- age (Etcoff, Ekman, Magee, & Frank, 2000). They got only 60 percent correct—not great, but at least better than chance.

STOP & CHECK 5. Which hemisphere is dominant for the following in most peo-

ple: speech, emotional inflection of speech, interpreting other people’s emotional expressions, spatial relationships?

ANSWER 5. The left hemisphere is dominant for speech. The right hemisphere is dominant for the other items listed.

Avoiding Overstatements The research on left-brain/right-brain differences is exciting, but has sometimes led to unscientific assertions. Occasionally, you may hear a person say something like, “I don’t do well in science because it is a left-brain subject and I am a right-brain person.” That kind of statement is based on two reasonable premises and a doubtful one. The scientific ideas are that (1) the hemispheres are specialized for different functions, and (2) certain tasks evoke greater activity in one hemisphere or the other. The doubtful premise is that any individual ha- bitually relies mostly on one hemisphere.

What evidence do you suppose someone has for believ- ing, “I am a right-brain person”? Did he or she undergo an MRI or PET scan to determine which hemisphere was larger or more active? Not likely. Generally, when people say, “I am right-brained,” their only evidence is that they perform well on creative tasks or poorly on logical tasks. (Saying, “I am right- brained” sometimes implies that because I do poorly on logi- cal tasks, therefore, I am creative. Unfortunately, illogical is not the same as creative.) In fact, most tasks, especially difficult ones, require cooperation by both hemispheres.

08202_ch13_ptg01.indd 429 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

430 CHAPTER 13 Cognitive Functions

one version, chimps learned to press keys bearing symbols to type messages on a computer (Rumbaugh, 1977), such as “Please machine give apple” or to another chimpanzee, “Please share your chocolate.”

The chimpanzees’ use of symbols differed from human language in several ways. They seldom used symbols in new, original combinations. That is, their symbol use was short on productivity. Also, they used symbols mainly to request, seldom to describe. However, they showed at least moderate understanding. For example, the chimp Washoe, trained in sign language, usually answered “Who” questions with names, “What” questions with objects, and “Where” questions with places, even when she used the wrong symbol for a name, ob- ject, or place (Van Cantfort, Gardner, & Gardner, 1989).

Bonobos Amid skepticism about chimpanzee language, more promis- ing results emerged from studies of a closely related species, Pan paniscus, known as the bonobo. Bonobos’ social order re- sembles humans’ in several regards. Males and females form strong, sometimes lasting, personal attachments. They often copulate face to face. The female is sexually responsive on al- most any day and not just during her fertile period. The males contribute significantly to infant care. Adults often share food. They stand comfortably on their hind legs. In short, they re- semble humans more than other primates do.

In the mid-1980s, Sue Savage-Rumbaugh, Duane Rum- baugh, and their associates tried to teach a female bonobo named Matata to press symbols that lit when touched. Each symbol represents a word (see Figure 13.7). Although Matata made little progress, her infant son Kanzi learned just by watching her. When given a chance to use the symbol board, he quickly excelled. Later, researchers noticed that Kanzi understood a fair amount of spoken language. For example, whenever anyone said the word light, Kanzi would flip the light switch. Kanzi and his younger sister, Mulika, developed language comprehension comparable to that of a typical 2- to 2½-year-old child:

●● They understand more than they can produce. ●● They follow unfamiliar, unlikely directions such as

“Throw your ball in the river” or “Get the tomato in the microwave.”

●● They use symbols to name and describe objects even when they are not requesting them.

●● They occasionally use the symbols to describe past events. Kanzi once pressed the symbols “Matata bite” to explain the cut that he had received on his hand an hour earlier.

●● They frequently make original, creative requests, such as asking one person to chase another. (Hillix, Rumbaugh, & Savage-Rumbaugh, 2012; Savage-Rumbaugh, 1990; Savage- Rumbaugh, Sevcik, Brakke, & Rumbaugh, 1992; Savage- Rumbaugh et al., 1993)

Why have Kanzi and Mulika developed more impressive skills than other chimpanzees? Perhaps bonobos have more language potential than common chimpanzees. A second

Evolution of Language During your childhood, you heard, watched, and read many stories about animals—the three pigs, the three bears, various Disney and Warner Brothers cartoons, and others. In nearly all of them, the animals talked, right? In real life, why don’t they?

Nonhuman animals do communicate through visual, auditory, tactile, or chemical displays, but those signals don’t have much flexibility. A monkey might have one alarm call to indicate eagle in the air and another for snake on the ground, but it has no way to indicate eagle on the ground or snake in the tree (Cheney & Seyfarth, 2005). Human language stands out from other forms of communication because of its productivity, its ability to improvise new combinations of sig- nals to represent new ideas.

We probably didn’t evolve language out of nothing. Evo- lution almost always develops something by modifying a pre- vious structure. Bat wings are modified arms, porcupine quills are modified hairs, and skunk stench is modified sweat gland secretion. If our language evolved from some ability our an- cient apelike ancestors had, what was it?

Chimpanzees Several early attempts to teach chimpanzees to talk failed. One reason is that humans vocal- ize while breathing out, whereas chimpanzees vocalize while breathing in. Go ahead, try to say something while inhaling. You’ll probably want to try it in private so that other people don’t laugh at you.

However, chimps in the wild do communicate with ges- tures, and investigators achieved better results by teaching them American Sign Language or other visual systems (Gardner & Gardner, 1975; Premack & Premack, 1972) (see Figure 13.6). In

Figure 13.6 An attempt to teach chimpanzees language One of the Premacks’ chimps, Elizabeth, reacts to colored plastic chips that read “Not Elizabeth banana insert—Elizabeth apple wash.” (Source: Photo courtesy of Ann Premack)

TRY IT YOURSELF

08202_ch13_ptg01.indd 430 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 431

Nonprimates What about nonprimate species? Spectacular results have been re- ported for Alex, an African gray parrot (see Figure 13.8). Parrots are, of course, famous for imitating sounds. Irene Pepperberg showed that parrots can use sounds mean- ingfully. She kept Alex in a stimu- lating environment and taught him by saying a word many times and offering rewards if Alex approxi- mated the same sound. Gradually she moved on to more complex concepts (Pepperberg, 1981). Pep- perberg generally used toys. For ex- ample, if Alex said “paper,” “wood,” or “key,” she would give him what he asked for. In no case did she re- ward him with food for saying “pa- per” or “wood.”

In one test, Alex viewed a tray of 12 objects and correctly an- swered 39 of 48 questions such as “What color is the key?” (answer: “green”) and “What object is gray?” (answer: “circle”). He also answered questions of the form “How many

blue keys?” in which he had to count the blue keys among ob- jects of two shapes and two colors (Pepperberg, 1994).

It will not come as news to dog owners that dogs learn to respond to many human words. The extent of this pos- sibility, however, goes beyond what most people, and cer- tainly most scientists, expected. One border collie learned the names of over a thousand objects and remembered them over at least 32 months. She also learned categories such as “toy,” which meant anything she had been allowed to play with. She also responded correctly to sentences requiring an understanding of simple grammar. For example, she re- sponded correctly to the commands “to ball take Frisbee” and “to Frisbee take ball,” even when other objects were present (Pilley, 2013). Another study found that part of dogs’ left hemisphere responds to meaningful words, regardless of the tone of voice, whereas the right hemisphere responds to the intonation, which often indicates emotion (Andics et al., 2016). Those results match the pattern for human brains. If you do a YouTube search for “Chaser language,” you can watch several videos.

What do we learn from studies of nonhuman language abilities? At a practical level, we gain insights into how best to teach language to those who do not learn it easily, such as people with brain damage or children with autism. At a more theoretical level, these studies indicate that human language evolved from precursors present in other species. These stud- ies also point out the ambiguity of our concept: As psycholo- gists have debated whether chimpanzees, parrots, or dogs are

explanation is that Kanzi and Mulika began language training when young. A third reason pertains to the method of training: Learning by observation and imitation (as humans do) pro- motes better language understanding than the formal training methods of previous studies (Savage-Rumbaugh et al., 1992).

Figure 13.7 Language tests for Kanzi, a bonobo (Pan paniscus) He listens to questions through earphones and points to answers on a board. The experimenter with him does not hear the questions. (Source: From Georgia State University’s Language Research Center, operated with the Yerkes Primate Center of Emory.)

Duane Rumbaugh, Sue Savage- Rumbaugh, and chimpanzee Austin Chimpanzees and bonobos are outstand- ing teachers of psychology. They never presume that we, as their students, know a damn thing about who they are. And they certainly aren’t impressed with our

degrees. Consequently, they are able to teach all manner of impor- tant things about what it means to be human and to be ape—that is, if we as students are quiet, listen carefully, and let them tell us as only they can.

Du an

e Ru

m ba

ug h

STOP & CHECK 6. What are three likely explanations for why bonobos made

more language progress than common chimpanzees?

ANSWER

6. Bonobos may be more predisposed to language than common chimpanzees. The bonobos started training at an earlier age. They learned by imitation instead of formal training techniques.

Ph ot

o co

ur te

sy o

f D ua

ne R

um ba

ug h

08202_ch13_ptg01.indd 431 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

432 CHAPTER 13 Cognitive Functions

language is just a product of brain size, then anyone with a full- sized brain and normal overall intelligence should have normal language. However, not all do. In one family, 16 of 30 people over three generations show serious language deficits despite normal intelligence in other regards. Because of a particular dominant gene, the affected people have serious troubles in pro- nunciation and many other aspects of language (Fisher, Vargha- Khadem, Watkins, Monaco, & Pembrey, 1998; Gopnik & Crago, 1991; Lai, Fisher, Hurst, Vargha-Khadem, & Monaco, 2001). They have trouble with even simple grammatical rules, as shown in the following dialogue about making plurals:

Experimenter Respondent This is a wug; these are . . . How should I know?

[Later] These are wug. This is a zat; these are . . . These are zacko. This is a sas; these are . . . These are sasss.

[Not sasses]

In another test, experimenters presented sentences and asked whether each sentence was correct and, if not, how to improve it. People in the affected family made many errors and odd corrections. For example:

Original Item Attempted Correction The boy eats three cookie. The boys eat four cookie.

Despite the language difficulties, these people behave nor- mally and intelligently in other regards. Evidently, language requires more than just a large brain and overall intelligence.

What about the reverse? Could someone with overall intel- lectual impairment have good language? Psychologists would have answered “no,” until they discovered Williams syndrome,

showing language, they have been forced to think more care- fully about how they define language.

How Did Humans Evolve Language? Reconstructing the evolution of language is necessarily specu- lative, because no examination of fossils will help. One strong possibility is that language evolved from communication by gestures (Corballis, 2012a). All primates communicate by ges- tures, including humans. Children begin gesturing in the first year of life, and their use of gestures predicts how soon they will develop spoken language (Iverson & Goldin-Meadow, 2005). Most adults also accompany their speech with gestures, even when talking on a telephone, when the listener cannot see the gestures.

Mouth gestures may be particularly important. Monkeys use several mouth gestures to communicate, including a lip-smacking gesture, which has a rhythm similar to speech. Monkeys are known to watch one another’s mouth move- ments, especially when another is vocalizing, and it is plau- sible that the combination of sound plus mouth gesture could have been a precursor to spoken language (Ghazanfar, 2013).

With regard to the brain, what changed to make lan- guage possible? Most theories fall into two categories: (1) We evolved it as a by-product of overall brain development, or (2) we evolved it as a specialization.

Is Language a By-Product of Intelligence? One view is that humans evolved big brains for other reasons, and language developed as an accidental by-product. In its simplest form, this hypothesis faces several problems. First, if

Figure 13.8 Language tests for Alex Alex conversed about objects in simple English—for example, answering, “What color is the circle?” He received no food rewards.

Ri ck

F rie

dm an

/G et

ty Im

ag es

08202_ch13_ptg01.indd 432 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 433

asked to draw an elephant and describe it. Contrast her almost poetic description to the unrecognizable drawing.

Let’s not overstate the case. People with Williams syndrome do not handle language perfectly (Martens, Wilson, & Reutens, 2008; Meyer-Lindenberg, Mervis, & Berman, 2006). Their grammar is awkward, like that of someone who learned a sec- ond language late in life (Clahsen & Almazen, 1998; Karmiloff- Smith et al., 1998). They often use fancy words when a common word would work better, such as “I have to evacuate the glass” instead of “empty” or “pour out” the glass (Bellugi et al., 2000). Still, observations of Williams syndrome indicate that language is not simply a by-product of overall intelligence.

Language as a Specialization If language is not just a by-product of overall intelligence, it must have evolved as a specialized brain mechanism. Noam Chomsky (1980) and Steven Pinker (1994) proposed that hu- mans have a language acquisition device, a built-in mecha- nism for acquiring language. Most children develop language so quickly and easily that it seems they must have been biolog- ically prepared for this learning. Deaf children quickly learn sign language, and if no one teaches them a sign language, they invent one and teach it to one another (Goldin-Meadow, McNeill, & Singleton, 1996; Goldin-Meadow & Mylander, 1998).

Researchers have begun to explore the genetic basis of this preparation for language. Remember that family whose members have such trouble with pronunciation and basic grammar? Their problem stems from a mutation in a gene designated FOXP2, which regulates a protein that promotes synapse formation in the cerebral cortex and the basal ganglia (Chen et al., 2016; Lai et al., 2001). Although both humans and chimpanzees have that gene, it differs in two places, resulting in proteins with different amino acids at two sites. The gene produces a multitude of effects, partly on brain development, but also on structures of the jaw and throat that are important for speech (Konopka et al., 2009). Another human specializa- tion is that the part of our motor cortex that controls the vocal cords has much greater connections to the rest of the cortex than monkeys have (Kumar, Croxson, & Simonyan, 2016). The greater connections enable more complex and detailed con- trol of sound production.

a condition affecting about 1 person in 20,000, traceable to the loss of a gene that influences connections in the brain (Chailangkarn et al., 2016). Affected people are poor at tasks related to numbers, visuomotor skills (e.g., copying a drawing), and spatial perception (e.g., finding their way home). When asked to estimate the length of a bus, three people with Williams syndrome answered “30 inches,” “3 inches or 100 inches maybe,” and “2 inches, 10 feet” (Bellugi, Lichtenberger, Jones, Lai, & St. George, 2000). They show poor planning, frequent lapses of attention, and difficulty inhibiting inappropriate responses (Greer, Riby, Hamiliton, & Riby, 2013). They require supervision and have trouble with even simple jobs. Nevertheless, many of them speak grammatically and fluently. Many also show good ability to clap a complex rhythm and memorize songs (Levitin & Bellugi, 1998), and good ability to interpret facial expressions of emotion (Tager-Flusberg, Boshart, & Baron-Cohen, 1998).

In contrast to their impairments in other regards, many people with Williams syndrome develop remarkably good lan- guage. Figure 13.9 shows the result when a young woman was

People with Williams syndrome have a characteristic appearance, as well as a special set of behavioral strengths and weaknesses.

And what an elephant is, it is one of the animals. And what the elephant does, it lives in the jungle. It can also live in the zoo. And what it has, it has long gray ears, fan ears, ears that can blow in the wind. It has a long trunk that can pick up grass, or pick up hay . . . If they’re in a bad mood it can be terrible . . . If the elephant gets mad it could stomp; it could charge, like a bull can charge. They have long big tusks. They can damage a car . . . it could be dangerous. When they’re in a pinch, when they’re in a bad mood it can be terrible. You don’t want an elephant as a pet. You want a cat or a dog or a bird . . .

Figure 13.9 A young woman with Williams syndrome draws and describes an elephant The investigator added the labels on the drawing based on what the woman said she was drawing. (Source: From “Williams syndrome: An unusual neuropsy- chological profile,” by U. Bellugi, P. O. Wang, and T. L. Jernigan. In S. H. Broman and J. Grafman, Eds., Atypical Cognitive Deficits in Developmental Disorders. Copyright © 1994 Lawrence Erlbaum. Reprinted by permission.)

AP Im

ag es

/T he

H ut

ch in

so n

N ew

s, L

in ds

ey B

au m

an

08202_ch13_ptg01.indd 433 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

434 CHAPTER 13 Cognitive Functions

Brain Damage and Language Another way to study specializations for language is to exam- ine the role of various brain areas. Much of our knowledge has come from studies of people with brain damage.

Broca’s Aphasia (Nonfluent Aphasia) In 1861, the French surgeon Paul Broca treated the gangrene of a patient who had been mute for 30 years. When the man died 5 days later, Broca did an autopsy and found a lesion in the left frontal cortex. Over the next few years, Broca exam- ined the brains of additional patients with aphasia (language impairment), and nearly always found damage that included this same area, which is now known as Broca’s area (see Fig- ures 13.10 and 13.11). When brain damage impairs language production, we call it Broca’s aphasia, or nonfluent aphasia, regardless of the exact location of damage. Broca published his results in 1865, slightly later than reports by other French physicians, Marc and Gustave Dax, who also pointed to the left hemisphere as the seat of language abilities (Finger & Roe, 1996). Broca received the credit, however, because his description was more detailed and more convincing. This dis- covery, the first demonstration of the function of a particular brain area, paved the way for modern neurology.

Modern methods have confirmed the importance of Broca’s area for language production, but damage limited to that area produces only minor or brief language impairment (Long et al., 2016). In fact, even in Broca’s own cases, the dam- age was more extensive than he knew. Broca examined only the external surface of the brains, and then preserved some of them at the Musée Dupuytren in Paris, which still has them. Almost a century and a half later, researchers using magnetic resonance

A Sensitive Period for Language Learning If humans are specially adapted to learn language, perhaps we are adapted to learn best during a sensitive period early in life, just as sparrows learn their song best during an early period. The consistent result is that adults are better than children at memorizing the vocabulary of a second language, but children have a great advantage on mastering grammar and especially pronunciation (Huang, 2014; Saito, 2013). There is no sharp cutoff for learning a second language; starting at age 2 is bet- ter than 4, 4 is better than 6, and 13 is better than 16 (Hakuta, Bialystok, & Wiley, 2003; Harley & Wang, 1997; Weber-Fox & Neville, 1996). However, people who start learning a second language beyond age 12 or so almost never reach the level of a native speaker (Abrahamsson & Hyltenstam, 2009). Also, learning a second language from the start is different from learning one later. Many people guess that a bilingual person might rely on the left hemisphere for one language and the right hemisphere for the other. That guess is wrong. People who grow up in a bilingual home, speaking two languages from the start, show bilateral activity during speech for both languages, and stronger than average connections between the two hemispheres (Berken, Chai, Chen, Gracco, & Klein, 2016; Peng & Wang, 2011). People who learn a second lan- guage after about age 6 activate just the left hemisphere for both languages (Hull & Vaid, 2007; Peng & Wang, 2011).

Another way to test the sensitive-period idea is to study people who learned no language during early childhood. In some cases, hearing parents of deaf children concentrated unsuccessfully on teaching them spoken language and lip- reading, and eventually gave up and introduced sign language.

STOP & CHECK 7. What evidence argues against the hypothesis that language

evolution depended simply on the overall evolution of brain and intelligence?

8. List tasks that people with Williams syndrome do poorly and those that they do well.

ANSWERS

7. Some people have normal brain size but very poor lan- guage. Also, some people have intellectual disabilities but nevertheless develop nearly normal language. 8. Poor: self-care skills, attention, planning, numbers, visual- motor skills, and spatial perception. Relatively good: language, interpretation of facial expressions, some aspects of music.

Why did humans evolve language and other species did not? One speculation is that language relates to the long pe- riod of dependency in childhood. Social interactions among people, including those between parents and children, favored the evolution of language. In that case, overall intelligence may be a by-product of language development more than language is a by-product of intelligence (Deacon, 1992, 1997).

STOP & CHECK 9. What is the strongest evidence in favor of a sensitive period

for language learning?

ANSWER

9. Deaf children who did not learn either spoken language or sign language while young do not become proficient at either type of language later.

Children who began sign language while still young learned much better than those who started later (Harley & Wang, 1997). A child who learns a spoken language early can learn sign language later, and a deaf child who learns sign language early can learn a spoken language later (except, of course, with poor pronunciation), but a child who learns no language while young is permanently impaired at learning any kind of lan- guage (Mayberry, Lock, & Kazmi, 2002). Even deaf children whose exposure to language is delayed for the first year of life show lasting deficits (Friedmann & Rusou, 2015). This obser- vation strongly supports the importance of learning language in early childhood.

08202_ch13_ptg01.indd 434 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 435

system, which then exchanges information with Broca’s area, which then exchanges information with your motor cortex. While you say the word, your motor cortex controls the output, and Broca’s area remains silent. That is, Broca’s area helps to organize speech, but it doesn’t produce it (Flinker et al., 2015).

When people with Broca’s aphasia speak, their speech is meaningful but sparse. For example, they might say, “Weather overcast” instead of “The weather is overcast.” Although the results vary among individuals, they generally omit pronouns, prepositions, conjunctions, auxiliary (helping) verbs, quantifi- ers, and tense and number endings. At least, that is the pattern for people speaking English. German- or Italian-speaking peo- ple with aphasia use more word endings, because they are more essential to the meaning than they are in English (Blackwell & Bates, 1995). Prepositions, conjunctions, helping verbs, and so forth are known as the closed class of grammatical forms be- cause a language rarely adds new prepositions, conjunctions, and the like. In contrast, new nouns and verbs (the open class) enter a language frequently. People with Broca’s aphasia seldom use the closed-class words. They find it difficult or impossible to repeat a phrase such as “No ifs, ands, or buts.” However, patients who cannot read aloud “To be or not to be” can read “Two bee oar knot two bee” (Gardner & Zurif, 1975). The trou- ble pertains to the word meanings, not just pronunciation.

Why do people with Broca’s aphasia omit the grammati- cal words and endings? Perhaps they have suffered damage to a “grammar area” in the brain, but here is another possibil- ity: When speaking is a struggle, people leave out the weakest elements. Many people who are in pain speak as if they have Broca’s aphasia (Dick et al., 2001).

Problems in Comprehending Grammatical Words and Devices People with Broca’s aphasia understand most speech, except when the meaning depends on prepositions, word endings, or complex grammar—the same items that they omit when speaking. If they hear a sentence with complex grammar, such as “The girl that the boy is chasing is tall,” they know that someone is tall and someone is chasing, but they don’t know which is which (Zurif, 1980). Most English sentences are com- prehensible even if we omit the prepositions and conjunctions. You can demonstrate this for yourself by taking a paragraph and deleting its prepositions, conjunctions, articles, helping verbs, pronouns, and word endings to see how it might appear to someone with Broca’s aphasia. Here is an example, taken from earlier in this section. Note how understandable it is de- spite the deletions:

In 1861, the French surgeon Paul Broca treated the gangrene of a patient who had been mute for 30 years. When the man died 5 days later, Broca did an autopsy and found a lesion in the left frontal cor- tex. Over the next few years, Broca examined the brains of additional patients with aphasia (language impairment). In nearly all cases, he found damage (usually stroke-related) that included this same area, which is now known as Broca’s area.

imaging showed that the original cases of Broca’s aphasia had damage extending deeper into the brain, including much of the basal ganglia (Dronkers, Plaisant, Iba-Zizen, & Cabanis, 2007). Today we recognize that Broca’s aphasia relates to damage in parts of the cortex, thalamus, and basal ganglia.

Impaired Language Production People with Broca’s aphasia are slow and awkward with all forms of language communication, including speaking, writ- ing, gesturing, and using sign language (Cicone, Wapner, Foldi, Zurif, & Gardner, 1979; Neville et al., 1998; Petitto et al., 2000). Broca’s aphasia relates to language, not the vocal muscles. When you read a word aloud, looking at the word activates your visual

Broca’s area

Sylvian or lateral �ssure

Wernicke’s area

Figure 13.10 Two areas important for language

Figure 13.11 The brain of the first patient examined by Broca Damage in the left frontal cortex is apparent. MRI has revealed that the damage also extends deep into subcortical areas. (Source: © The Author (2007). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved.)

08202_ch13_ptg01.indd 435 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

436 CHAPTER 13 Cognitive Functions

to describe a certain pattern of behavior, independent of the location of damage.

The typical characteristics of Wernicke’s aphasia are as follows:

1. Articulate speech. In contrast to people with Broca’s apha- sia, those with Wernicke’s aphasia speak fluently, except when pausing to try to think of the name of something. They have no trouble with prepositions, conjunctions, or grammar.

2. Difficulty finding the right word. People with Wernicke’s aphasia have anomia (ay-NOME-ee-uh), difficulty recall- ing the names of objects. They make up names (e.g., “thingamajig”), substitute one name for another, and use roundabout expressions such as “the thing that we used to do with the thing that was like the other one.” When they do manage to find some of the right words, they might arrange them improperly, such as, “The Astros listened to the radio tonight” (instead of “I listened to the Astros on the radio tonight”) (R. C. Martin & Blossom-Stach, 1986).

3. Poor language comprehension. People with Wernicke’s aphasia have trouble understanding speech, writing, and sign language (Petitto et al., 2000). Impaired comprehen- sion relates closely to difficulty remembering the names of objects.

Although Wernicke’s area and surrounding areas are important, language comprehension also depends on the connections to other brain areas. For example, reading the word lick activates not only Wernicke’s area but also the part of the motor cortex responsible for tongue movements. Reading throw activates the part of the premotor cortex controlling hand movements (Willems, Hagoort, & Casasanto, 2010). Apparently when you think about an action word, you imagine doing it. Table 13.1 contrasts Broca’s aphasia and Wernicke’s aphasia.

Still, people with Broca’s aphasia have not totally lost their knowledge of grammar. For example, they generally recognize that something is wrong with the sentence “He written has songs,” even if they cannot say how to improve it (Wulfeck & Bates, 1991). In many ways, their comprehension resembles that of intact people who are distracted. If you listen to some- one speaking rapidly with a heavy accent in a noisy room, while you are trying to do something else at the same time, you catch bits and pieces of what the speaker says and try to guess the rest. Even when we hear a sentence clearly, we sometimes ig- nore the grammar. If you hear “The dog was bitten by the man,” or “the ball kicked the girl,” you might ignore the grammar and assume the dog bit the man and the girl kicked the ball (Ferreira, Bailey, & Ferraro, 2002). Patients with Broca’s aphasia just rely on logical guesses more often than others do.

STOP & CHECK 10. What kind of words are Broca’s patients least likely to use? 11. What kind of words do Broca’s patients have the most

trouble understanding?

ANSWERS

10. They have the greatest trouble with “closed-class” words that are meaningful only in the context of a sen- tence, such as prepositions, conjunctions, and helping verbs. 11. They have the most trouble understanding the same kind of words they have trouble producing—the closed-class words.

Wernicke’s Aphasia (Fluent Aphasia) In 1874, Carl Wernicke (pronounced WER-nih-kee by most English speakers, although the German pronunciation is VAYR-nih-keh), a 26-year-old junior assistant in a German hospital, discovered that damage in part of the left temporal cortex produced a different kind of language impairment. Al- though patients could speak and write, their language com- prehension was poor. Damage in and around Wernicke’s area (see Figure 13.10), located near the auditory cortex, produces Wernicke’s aphasia, characterized by poor language com- prehension and impaired ability to remember the names of objects. It is also known as fluent aphasia because the per- son can still speak smoothly. As with Broca’s aphasia, the symptoms and brain damage vary, and the damage generally extends beyond the cortex into the thalamus and basal gan- glia. We use the term Wernicke’s aphasia, or fluent aphasia,

Table 13.1 Broca’s Aphasia and Wernicke’s Aphasia

Type Pronunciation Content of Speech Comprehension Broca’s aphasia Poor Mostly nouns and verbs; omits prepositions and

other grammatical connectives Okay unless the meaning depends on complex grammar

Wernicke’s aphasia Unimpaired Grammatical but often nonsensical; has trouble finding the right word, especially names of objects

Seriously impaired

STOP & CHECK 12. Describe the speech production of people with Wernicke’s

aphasia. 13. Describe the speech comprehension of people with

Wernicke’s aphasia.

ANSWERS

12. People with Wernicke’s aphasia speak fluently and grammatically but omit most nouns and verbs and there- fore make little sense. 13. People with Wernicke’s aphasia have trouble understanding speech.

08202_ch13_ptg01.indd 436 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 437

Many people with dyslexia have particular trouble detect- ing the temporal order of sounds, such as noticing the differ- ence between beep-click-buzz and beep-buzz-click (Farmer & Klein, 1995; Kujala et al., 2000; Nagarajan et al., 1999). They also have difficulty making Spoonerisms—that is, trading the first consonants of two words, such as listening to “dear old queen” and saying “queer old dean” or hearing “way of life” and replying “lay of wife” (Paulesu et al., 1996). Doing so, of course, requires close attention to sounds and their order.

Many people with dyslexia also have abnormalities in their attention (Facoetti, Corradi, Ruffino, Gori, & Zorzi, 2010). Here is a demonstration. Fixate your eyes on the central dot in each display below and, without moving your eyes left or right, try to read the middle letter of each three-letter display:

Dyslexia Dyslexia is a specific impairment of reading in someone with adequate vision, motivation, cognitive skills, and educational opportunity. It is more common in boys than girls and linked to several identified genes (Field et al., 2013). Dyslexia is espe- cially common in English, because it has so many words with odd spellings. (Consider phlegm, bivouac, khaki, yacht, choir, physique, and gnat.) However, dyslexia occurs in all languages and always pertains to a difficulty converting symbols into sounds (Ziegler & Goswami, 2005).

Many studies have reported abnormalities in the left hemisphere for people with dyslexia, and some of them ap- pear very early in life, before children would be taught to read (Kraft et al., 2015; Raschle, Zuk, & Gaab, 2012; van Zuijen, Plakas, Maassen, Maurits, & van der Leij, 2013; Xia, Hoeft, Zhang, & Shu, 2016). One difference is that, unlike most nor- mal readers, people with dyslexia have certain parts of the temporal cortex larger in the right hemisphere than in the left (Ma et al., 2015). You might wonder how anyone knew to test certain children before they were old enough to show symptoms of dyslexia. The researchers identified families that include several people with dyslexia, and then tested young children, expecting (correctly) that many of them would de- velop dyslexia later.

In the often confusing literature about dyslexia, one point that stands out is that different people have different kinds of reading problems, and no one explanation works for all. Most (but not all) have auditory problems, a smaller number have impaired control of eye movements, and some have both (Judge, Caravolas, & Knox, 2006). Some researchers distin- guish between dysphonetic dyslexia and dyseidetic dyslexia (Flynn & Boder, 1991), although many people with dyslexia do not fit neatly into either category. People with dysphonetic dyslexia have trouble sounding out words, so they try to mem- orize each word as a whole, and when they don’t recognize a word, they guess based on context. For example, they might read the word laugh as “funny.” Readers with dyseidetic dys- lexia sound out words well enough, but they fail to recognize a word as a whole. They read slowly and have trouble with irregularly spelled words.

Most but not all people with dyslexia have problems re- lated to hearing, but not the kind of problem that could be corrected with hearing aids. People with dyslexia have no trouble carrying on a conversation, which would be difficult if their hearing were seriously impaired. In fact, even some good musicians have dyslexia. Tests found that they could easily de- tect small changes of pitch or tempo, but they had poor audi- tory memory. They had low accuracy at noting whether two sequences of tones, separated in time, were the same or dif- ferent (Weiss, Granot, & Ahissar, 2014). That result suggests a problem with how the brain handles auditory information, not a problem with the auditory information itself. Other studies found that people with dyslexia have weaker than normal con- nections between the auditory cortex and Broca’s area (Boets et al., 2013).

NOE

WSH

TWC

EYO

ONT

OHW

WCI

SIY

CTN

HCW

IEY

HNO

Most people find it easier to read the letters close to the fixa- tion point, but some people with dyslexia are unusually adept at identifying letters well to the right of their fixation point. When they focus on a word, they are worse than average at reading it but better than average at perceiving letters 5 to 10 degrees to the right of it (Geiger, Lettvin, & Zegarra- Moran, 1992; Lorusso et al., 2004). That kind of attentional focus could certainly confuse attempts at reading (De Luca, Di Page, Judica, Spinelli, & Zoccolotti, 1999). In many cases, people with dyslexia also have difficulties when letters are too crowded together (Gori & Facoetti, 2015). In short, dyslexia can result from a variety of problems.

STOP & CHECK 14. What evidence suggests that many of the brain abnormali-

ties associated with dyslexia are a cause of the disorder rather than a result?

ANSWER 14. Certain abnormalities have been reported at an early age, before the start of language training.

08202_ch13_ptg01.indd 437 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

438 CHAPTER 13 Cognitive Functions

Language and the Brain

Many of the earliest home computers had no speech capacity, but users could plug in a device that would add speech, con- verting text output into sound. The evolution of human lan- guage was not like that. Our remote ancestors didn’t just take a chimpanzee-type brain and add an independent module.

Language required widespread modifications through- out the brain and it made possible a great many additional changes in other functions. Trying to understand language is an important part of trying to understand what it means to be human.

Module 13.1 In Closing

Summary 1. The left hemisphere controls speech in most people, and

each hemisphere controls mostly the hand on the oppo- site side, sees the opposite side of the world, and feels the opposite side of the body. 424

2. In humans, the left visual field projects onto the right half of each retina, which sends axons to the right hemisphere. The right visual field projects onto the left half of each retina, which sends axons to the left hemisphere. 425

3. After damage to the corpus callosum, each hemisphere can point or gesture to answer questions about the infor- mation that reaches it directly. However, because the left hemisphere controls speech in most people, only the left hemisphere of a split-brain person can give vocal answers about what it knows. 427

4. Although the two hemispheres of a split-brain person are sometimes in conflict, they find ways to cooperate and cue each other. 428

5. The right hemisphere is dominant for understanding and producing the emotional inflections of speech and for interpreting other people’s emotional expressions. 429

6. Bonobos have made significant progress in understand- ing language, and so have several other species to varying degrees. 430

7. Evolution of language may have evolved from gestural communication in primates, and mouth gestures may have been especially important. 432

8. The hypothesis that language emerged as a by-product of overall intelligence or brain size faces major problems: Some people have normal intelligence but impaired language, and many people with Williams syndrome have nearly normal language despite cognitive impairments. 432

9. The best evidence for a sensitive period for language development is the observation that deaf children learn sign language much better if they start early than if their first opportunity comes later in life. Also, learning a second language in early childhood differs in many ways from learning it later. 434

10. People with Broca’s aphasia (nonfluent aphasia) have difficulty speaking and writing. They find preposi- tions, conjunctions, and other grammatical connec- tives especially difficult. They also fail to understand speech when its meaning depends on complex grammar. 434

11. People with Wernicke’s aphasia have trouble understanding speech and recalling the names of objects. 436

12. Dyslexia (reading impairment) has many forms, resulting from diverse causes including impaired auditory memory and difficulties with visual attention. 437

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

anomia 436 aphasia 434 Broca’s aphasia (nonfluent aphasia)

434 Broca’s area 434 corpus callosum 424 dyslexia 437

interpreter 429 language acquisition device 433 lateralization 424 nonfluent aphasia 434 optic chiasm 425 planum temporale 425 productivity 430

split-brain people 427 visual field 425 Wernicke’s aphasia (fluent aphasia)

436 Wernicke’s area 436 Williams syndrome 432

08202_ch13_ptg01.indd 438 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.1 Lateralization and Language 439

1. Most people with Broca’s aphasia suffer from partial paralysis on the right side of the body. Most people with Wernicke’s aphasia do not. Why?

2. In a syndrome called word blindness, a person loses the ability to read (even single letters), although the

person can still see and speak. What is a possible neurological explanation? That is, can you imagine a pattern of brain damage that might produce this result?

Thought Questions

Module 13.1 End of Module Quiz

1. In humans, what happens to visual information from the left visual field? A. It reaches the right half of each retina, which sends

messages to the left hemisphere. B. It reaches the right half of each retina, which sends

messages to the right hemisphere.

C. It reaches the left half of each retina, which sends messages to the left hemisphere.

D. It reaches the left half of each retina, which sends messages to the right hemisphere.

2. At the human optic chiasm, which axons cross to the opposite hemisphere? A. Those from the nasal (inside) half of each retina B. Those from the temporal (outside) half of each retina

C. Those from the center of each retina D. All the axons from each retina

3. Under what condition can a split-brain person describe something he or she sees? A. After seeing it in the right visual field B. After seeing it in the left visual field

C. After seeing it with the right eye D. After seeing it with the left eye

4. When the right hemisphere reacts to something it sees, causing a behavior that the left hemisphere can feel, how does the left hemisphere react? A. It expresses surprise. B. It pretends the action did not occur.

C. It tries to stop the action or do the opposite. D. It invents a logical-sounding explanation.

5. Which of these does the right hemisphere control better than the left? A. Reactions to emotional stimuli B. Control of the right arm and hand

C. Mathematical calculations D. Taste and smell

6. What is a likely explanation for bonobos’ success at understanding speech? A. Bonobos’ brains have larger neurons than most other

primates. B. The experimenters combined both classical and oper-

ant conditioning.

C. The bonobos spent much time with human children. D. The bonobos started young and learned by

imitation.

7. If human language did not evolve from other primates’ vocalizations, what else is a likely hypothesis? A. Language evolved from nothing at all. B. Language evolved from dancing.

C. Language evolved from gestures including mouth gestures.

D. Language evolved from the ability to perceive objects in three dimensions.

8. What is unusual about many people with Williams syndrome? A. Good language ability despite intellectual deficiencies B. Normal intelligence but poor language

comprehension

C. Good reading ability despite poor vision D. High intelligence during childhood but low during

adulthood

9. The FOXP gene strongly affects what else, in addition to brain development? A. The stomach and intestines B. The pituitary and adrenal glands

C. The jaw and throat D. Blood pressure and heart rate

08202_ch13_ptg01.indd 439 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

440 CHAPTER 13 Cognitive Functions

10. If someone is bilingual from the start, how does the brain represent the two languages? A. One in the left hemisphere and the other in the right

hemisphere B. Both in the left hemisphere

C. Both in the right hemisphere D. Both in both hemispheres

11. People with Broca’s aphasia are most impaired on producing and understanding which type of words? A. Common nouns B. Proper nouns

C. Prepositions and conjunctions D. Adjectives and adverbs

12. Which of the following is characteristic of Wernicke’s aphasia? A. Difficulty forming new long-term memories, espe-

cially episodic memories B. Inability to describe anything seen in the left visual

field or felt with the left hand

C. Poor pronunciation and difficulty using and under- standing grammar

D. Difficulty remembering names of objects

Answers: 1B, 2A, 3A, 4D, 5A, 6D, 7C, 8A, 9C, 10D, 11C, 12D.

08202_ch13_ptg01.indd 440 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

441

Conscious and Unconscious Processes

Module 13.2

Although we credit Descartes with the first explicit de- fense of dualism, he hardly originated the idea. Our experi- ences seem so different from the physical actions of the brain that most people take it for granted that mind and brain must be different. Even outstanding psychologists sometimes lapse into dualistic thinking. One psychologist commented, “we know little about . . . whether neural events drive psychological events, or the converse” (G. A. Miller, 2010, p. 716). In other words, we don’t know whether brain activity causes thoughts or whether thoughts cause brain activity. But if thoughts and brain activity are the same thing, the question doesn’t make sense.

Nearly all current philosophers and neuroscientists reject dualism. A decisive objection is that dualism conflicts with one of the cornerstones of physics, known as the law of the conservation of matter and energy: Matter can transform into energy, and energy can transform into matter, but neither one emerges from nothing, disappears into nothing, or changes ex- cept because of influence from other matter or energy. There- fore, a mind that is not composed of matter or energy could not make anything happen, not even muscle movements. If you use a term like mind to mean a ghostlike something that is neither matter nor energy, don’t underestimate the scientific and philosophical arguments that can be marshaled against you (Dennett, 1991).

The alternative to dualism is monism, the belief that the universe consists of only one kind of substance. Various forms of monism are possible in the following categories:

[W]e know the meaning [of consciousness] so long as no one asks us to define it.

William James (1892/1961, p. 19)

The introduction to this book introduced the mind–body problem: In a universe composed of matter and energy, why is there such a thing as consciousness? And how does it relate to brain activity? Now armed with more understanding of the brain, it is time to return to those questions, even if the answers remain elusive.

The Mind–Brain Relationship Suppose you say, “I became frightened because I saw a man with a gun.” A neuroscientist says, “You became frightened because of increased electrochemical activity in the following areas of your brain. . . .” If both statements are right, what is the connection between them?

Biological explanations of behavior raise the mind–body or mind–brain problem: What is the relationship between the mind and the brain? Most nonscientists apparently as- sume dualism, the belief that mind and body exist separately. The French philosopher René Descartes defended dualism but recognized the vexing issue of how a mind that is not made of material could influence a physical brain. He proposed that mind and brain interact at a single point in space, which he suggested was the pineal gland, the smallest unpaired struc- ture he could find in the brain (see Figure 13.12).

50

5 3

1

1

5 3

A

B

C

6

6

4

4

2

2

a b c

H.

B

Figure 13.12 René Descartes’s conception of brain and mind Descartes understood how light from an object (the arrow) reached the retinas at the back of the eyes. The letters and numbers represent pathways that he imagined from the reti- nas to the pineal gland. (His guesses about those pathways were wrong.) (Source: From Descartes’s Treatise on Man)

08202_ch13_ptg01.indd 441 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

442 CHAPTER 13 Cognitive Functions

Consciousness of a Stimulus Although we don’t have a good hypothesis about why con- sciousness exists at all, we might be able to answer some lesser questions about consciousness. The main research difficulty is that we cannot observe consciousness. Even defining it is difficult. For practical purposes, researchers use this opera- tional definition: If a cooperative person reports awareness of one stimulus and not another, then he or she was conscious of the first and not the second. With individuals who cannot speak, including infants and nonhuman animals, this defini- tion doesn’t apply. Therefore, research on consciousness is limited to cooperative, healthy humans, ordinarily adults.

Using this definition, the next step is to present a given stimulus under two conditions, where we expect an ob- server to be conscious of it in one condition and not the other. Then researchers compare the brain responses in the two conditions. How could someone present a stimulus but prevent consciousness? Researchers have developed clever approaches based on interference. Suppose you clearly see a yellow dot. Then, although the dot remains on the screen, other dots around it flash on and off. While they are flash- ing, you do not see the stationary dot. This procedure is called flash suppression (Kreiman, Fried, & Koch, 2002). The strong response to the flashing stimulus decreases the response to the steady stimulus, as if it were a fainter light (Yuval-Greenberg & Heeger, 2013). Similarly, suppose you see a yellow dot, and then some blue dots all around it start mov- ing rapidly. They grab your attention so strongly that you have trouble seeing the yellow dot. In fact, it seems to disappear for a few seconds, reappear for a few seconds, disappear again, and so forth (Bonneh, Cooperman, & Sagi, 2001).

Experiments Using Masking Many studies use masking: A brief visual stimulus is preceded and followed by longer interfering stimuli. In many cases, re- searchers present just the brief stimulus and a longer one after it, in which case the procedure is called backward masking. Stanislas Dehaene and colleagues (Dehaene et al., 2001) flashed a word on a screen for 29 milliseconds (ms). On some trials, it was preceded and followed by a blank screen:

●● materialism: the view that everything that exists is mate- rial, or physical. According to one version of this view, “eliminative materialism,” mental events don’t exist at all, and any folk psychology that includes the concept of mind or mental activity is fundamentally mistaken. However, most of us find it difficult to believe that our minds are figments of our imagination. An alternative version of materialism is that researchers will eventually find a way to explain all psychological experiences in purely physical terms.

●● mentalism: the view that only minds really exist and that the physical world could not exist unless some mind were aware of it. The philosopher George Berkeley was the primary defender of this position. It is not easy to test this idea. (Go ahead and try!)

●● identity position: the view that mental processes and certain kinds of brain processes are the same thing, just described in different terms. By analogy, one could describe the Mona Lisa as an extraordinary painting, or one could list the exact color and brightness of each point on the painting. Although the two descriptions appear entirely different, they refer to the same item. The identity position says the mind is brain activity. Just as fire is not a “thing,” but what happens to something, mental activity is what happens in the brain.

Can we be sure that monism is correct? No. However, re- searchers adopt it as the most reasonable working hypothesis, to see what progress they can make on that assumption. As you have seen throughout this text, experiences and brain ac- tivities appear inseparable. Stimulation of any brain area pro- vokes an experience, and any experience evokes brain activity, and damage to any brain area leads to loss of some mental function. As far as we can tell, you cannot have mental activity without brain activity, and you cannot have certain types of brain activity without mental activity.

(Does a belief in monism mean that we are lowering our evaluation of minds? Maybe not. Maybe we are elevating our concept of the material world.)

David Chalmers (1995) distinguished between what he calls the easy problems and the hard problem of conscious- ness. The easy problems pertain to such questions as the dif- ference between wakefulness and sleep and what brain activity occurs during consciousness. These issues are difficult scien- tifically but not philosophically. In contrast, the hard problem concerns why consciousness exists at all. As Chalmers (1995, p. 203) put it, “Why doesn’t all this information-processing go on ‘in the dark,’ free of any inner feel?” Why does brain activity feel like anything at all? Many scientists (Crick & Koch, 2004) and philosophers (Chalmers, 2004) agree that we cannot an- swer that question, at least at present. We don’t even have a clear hypothesis to test. The best we can do is determine what brain activity is necessary or sufficient for consciousness. Maybe research on such questions will some day lead us to an insight about the hard question, or maybe not. But starting with the “easy” questions seems the best strategy.

STOP & CHECK 15. Why do nearly all scientists and philosophers reject the idea

of dualism? 16. What is meant by the “hard problem”?

ANSWERS

15. Dualism contradicts the law of the conservation of matter and energy. According to that law, the only way to influence matter and energy, including that of your body, is to act on it with other matter and energy. 16. The hard problem is why minds exist at all in a physical world. Why is there such a thing as consciousness?

08202_ch13_ptg01.indd 442 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.2 Conscious and Unconscious Processes 443

evokes activity precisely synchronized in several brain areas, in the frequency of about 30 to 50 Hz (cycles per second), known as gamma waves (Doesburg, Green, McDonald, & Ward, 2009; Fisch et al., 2009). One consequence of synchro- nized action potentials is that their synaptic inputs arrive simultaneously at their target cells, producing maximal sum- mation (Fell & Axmacher, 2011).

Overall, the data imply that consciousness of a stimulus depends on the amount and spread of brain activity. Becom- ing conscious of something means that its information takes over more of your brain’s activity.

Stanislas Dehaene Throughout the nineteenth and twentieth centuries, the question of consciousness lay outside the boundaries of normal science. . . . For many years, no serious researcher would touch the problem. . . . When I was a student in the late 1980s, I was surprised to discover that during lab meetings, we were not allowed to use the

C-word. . . . And then in the late 1980s everything changed. Today the problem of consciousness is at the forefront of neuroscience research. (Dehaene, 2014, pp. 7–8)

Sa ni

sl as

D eh

ae ne

GROVE

In these cases, people identified the word almost 90 percent of the time. On other trials, the researchers flashed a word for the same 29 ms but preceded and followed it with masking patterns:

SALTY

In the masking condition, people almost never identified it. They usually said they saw no word at all. Using fMRI and evoked potentials, the researchers found that the stimulus ini- tially activates the primary visual cortex in both the conscious and unconscious conditions but activates it more strongly in the conscious condition, because of less interference. Also, in the conscious condition, the activity spreads to additional brain areas, including the prefrontal cortex and parietal cor- tex, which amplify the signal and reflect it back to the visual cortex. For people with damage to the prefrontal cortex, a vi- sual stimulus has to last longer before it becomes conscious, relative to other people (Del Cul, Dehaene, Reyes, Bravo, & Slachevsky, 2009).

A similar study found that the difference in response de- pending on whether a stimulus is or is not conscious becomes apparent 200 ms after onset of the stimulus, reaches maxi- mum at 500 ms, and continues for the next 2 to 3 seconds. That study also found that consciousness of one stimulus inhibited responses to other stimuli at the same time (Q. Li, Hill, & He, 2014). That is, the stimuli present at any moment compete for your attention.

A conscious stimulus also synchronizes responses for neurons in various brain areas (Eckhorn et al., 1988; Gray, König, Engel, & Singer, 1989; Melloni et al., 2007; Womelsdorf et al., 2007). When you see something and recognize it, it

STOP & CHECK 17. In the experiment by Dehaene and colleagues, how were the

conscious and unconscious stimuli similar? How were they different?

18. In this experiment, how did the brain’s responses differ to the conscious and unconscious stimuli?

ANSWERS

17. The conscious and unconscious stimuli were physi- cally the same (a word flashed on the screen for 29 ms). The difference was that a stimulus did not become conscious if it was preceded and followed by an inter- fering pattern. 18. A stimulus that reached conscious- ness activated the same brain areas as an unconscious stimulus but more strongly, and then the activity spread to additional areas. Also, brain responses became synchronized for a conscious pattern.

Experiments Using Binocular Rivalry Here is another way to make a stimulus un- conscious. Look at Figure 13.13, but hold it so close to your eyes that your nose touches the page, right between the two circles. Bet- ter yet, look at the two parts through a pair of tubes, such as the tubes inside rolls of paper towels or toilet paper, or roll up your hands like tubes. You should see red and black vertical stripes with your left eye, and green and black horizontal stripes with your right eye. (Close one eye and then the other to make sure your eyes see completely different patterns.) Seeing something requires perceiving where it is, and the red vertical stripes cannot be in the same place as the green horizontal stripes. Because your brain cannot perceive both patterns in the same location, your perception alternates between the two. For the average person, each perception lasts about 2 seconds before the other replaces it, although some people switch perceptions faster or slower. These shifts, demonstrating binocular rivalry, are gradual, sweeping from one side to another. You can voluntarily shift your attention to one or the other image, but only to a limited extent. Soon you see the other image anyway (Paffen & Alais, 2011). Instead of lines, the stimuli could be other images, such as a house versus a face.

TRY IT YOURSELF

08202_ch13_ptg01.indd 443 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

444 CHAPTER 13 Cognitive Functions

the brain, as shown in Figure 13.15. When people reported consciousness of the stationary stimulus, the pulsating activ- ity was weak (Cosmelli et al., 2004). Again, the conclusion is that a conscious stimulus strongly activates much of the brain, virtually taking over brain activity. When the same stimulus is unconscious, it produces weaker and less widespread activity. A related study found that when someone switched between one perception and the other, the brain response changed first in the occipital cortex, and then spread to the other areas (de Jong et al., 2016).

The Fate of an Unattended Stimulus Let’s further consider binocular rivalry. While you are attend- ing to, say, the green and black stripes, your brain does not completely discard information from the other eye. Certainly, if a bright stimulus suddenly flashed in that eye, it would capture your attention. More interestingly, suppose a word fades onto the screen slowly, and you are to report the time when your attention shifts to the previously unattended eye. The word captures your attention, causing you to shift your

The two images do not necessarily divide your attention time equally. Some people see with one eye longer than the other. Also, an emotionally charged image, such as a face with an emotional expression, generally holds attention longer than a neutral image (Yoon, Hong, Joormann, & Kang, 2009). A happy face holds attention longer for someone in a happy mood, and a scowling face holds attention longer for someone in a sad mood (Anderson, Siegel, & Barrett, 2011; Anderson et al., 2013).

The stimulus seen by each eye evokes a brain response that researchers can measure. As the first perception fades and the stimulus seen by the other eye replaces it, the first pattern of brain activity fades also, and a different pattern re- places it. Both the red–black and green–black patterns you just experienced were stationary. To make the brain responses easier to distinguish, researchers presented to one eye a sta- tionary stimulus and to the other eye a pattern that pulsated in size and brightness, as shown in Figure 13.14. Then they recorded brain activity in several areas. At times when peo- ple reported consciousness of the pulsating stimulus, pulsat- ing activity at the same rhythm was prominent in much of

Figure 13.13 Binocular rivalry If possible, look at the two circles through tubes, such as those from inside rolls of toilet paper or paper towels. Other- wise, touch your nose to the paper between the two parts so that your left eye sees one pattern while your right eye sees the other. The two views will compete for your conscious- ness, and your perception will alternate between them.

Frame 1 Frame 2 Frame 3 Frame 4 Frame 5 Frame 6 Frame 7

5 6 7 8 9 10 Seconds

Figure 13.14 Stimuli for a study of binocular rivalry The pattern in one eye was stationary. The one in the other eye pulsated a few times per second. Researchers could then examine brain activity to find cells that followed the rhythm of the pulsating stimulus. (Source: Reprinted from “Waves of consciousness: Ongoing cortical patterns during binocular rivalry,” by D. Cosmelli et al., 2004, NeuroImage, 23(1), pp. 128–140, with permission from Elsevier.)

08202_ch13_ptg01.indd 444 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.2 Conscious and Unconscious Processes 445

This is not an easy question to answer, but several stud- ies suggest that consciousness is a yes–no phenomenon. Researchers flashed blurry words on a screen for brief frac- tions of a second and asked people to identify each word, if possible, and to rate how conscious they were of the word on a scale from 0 to 100. People almost always rated a word either 0 or 100. They almost never said they were partly conscious of something (Sergent & Dehaene, 2004). These results suggest that consciousness is a threshold phe- nomenon. When a stimulus activates enough neurons to a sufficient extent, the activity reverberates, magnifies, and extends over much of the brain. If a stimulus fails to reach that level, the pattern fades away. However, another study found that even when people report no consciousness of a stimulus, they could guess with 62 percent accuracy which of two possible stimuli it was (Q. Li et al., 2014). Again we see the point that stimuli can exert some effect even without conscious perception.

The Timing of Consciousness Are you conscious of events instant by instant as they happen? It certainly seems that way, but if there were a delay between an event and your consciousness of it, how would you know? You wouldn’t. Perhaps you sometimes construct a conscious experience after the event.

Consider the phi phenomenon that perceptual research- ers noted long ago: If you see a dot in one position alternating with a similar dot nearby, it will appear that the dot is moving back and forth. Considering just the simplest case, imagine what happens if you see a dot in one position and then an- other: • ➟ •. You see a dot in one position, it appears to move, and you see it in the second position. Okay, but when did you see it move? When you saw it in the first position, you didn’t know it was going to appear in the second position. You could not perceive it as moving until after it appeared in the second position. Evidently, you perceived it as moving from one posi- tion to the second after it appeared in the second position! In other words, the second position changed your perception of what occurred before it.

attention faster than you would have otherwise. Moreover, if it is a word from your own language, it captures your atten- tion faster than a word from a language you do not understand (Jiang, Costello, & He, 2007). Other experiments with either binocular rivalry or flash suppression have shown that you more rapidly become aware of faces and other social stimuli than physically similar nonsocial stimuli, and more rapidly be- come aware of a signal previously associated with danger than one not paired with danger (Gayet et al., 2016; Su, van Box- tel, & Lu, 2016). If you have a strong interest in something— cars, for example—a picture of that kind of object gains your awareness more readily than it does for other people (Stein, Reeder, & Peelen, 2016). If you become aware of something highly meaningful faster than you do for something similar but less meaningful, evidently your brain decided the stimulus was meaningful before you became conscious of it! The con- clusion is that much of brain activity is unconscious, and even unconscious activity can influence behavior.

Time (sec)

RT13

RT16

RO12 LO12

LO11 LP34

10 15 20 25 30 35 40

Figure 13.15 Brain activity during binocular rivalry When the person reported seeing the pulsating stimulus, neurons throughout much of the brain responded vigorously at the same rhythm as the stimu- lus. When the person reported the stationary stimulus, the rhythmic activity subsided. (Source: Reprinted from “Waves of consciousness: Ongoing cortical patterns during binocular rivalry,” by D. Cosmelli et al., 2004, NeuroImage, 23(1), pp. 128–140, with permission from Elsevier.)

STOP & CHECK 19. How could someone use fMRI to determine which of two

patterns in binocular rivalry is conscious at a given moment? 20. If someone is aware of the stimulus on the right in a case of

binocular rivalry, what evidence indicates that the brain is also processing the stimulus on the left?

ANSWERS

19. Make one stimulus pulsate at a given rhythm and look for brain areas showing that rhythm of activity. The rhythm takes over widespread areas of the brain when that pattern is conscious. 20. If a stimulus gradually appears on the left side, attention shifts to the left faster if that stimulus is a meaningful word than if it is a word from an unfamiliar language.

Consciousness as a Threshold Phenomenon Does consciousness come in degrees? That is, would it make sense to say you were “partly” conscious of some stimulus?

08202_ch13_ptg01.indd 445 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

446 CHAPTER 13 Cognitive Functions

People in a minimally conscious state respond to at least a few stimuli, although they cannot talk. People in a vegetative state alternate between sleep and greater arousal, but even in their most aroused state they show no purposeful behaviors. Might they nevertheless be conscious? Researchers used fMRI to record brain activity in a young woman who was in a per- sistent vegetative state following a brain injury from a traffic accident. She had neither spoken nor made any other purpo- sive movements. However, when she was told to imagine play- ing tennis, the fMRI showed increased activity in motor areas of her cortex, similar to what healthy volunteers showed after the same instruction. When she was told to imagine walking through her house, a different set of brain areas became ac- tive, again similar to the pattern for healthy volunteers (Owen et al., 2006). Follow-up studies found similar results in 4 of 53 patients in a vegetative state. One patient used brain activity— imagining tennis versus imagining walking through a house— to answer yes/no questions such as “Do you have a brother?” (Monti et al., 2010).

Another approach shows promise without requiring any response at all. Researchers used brief magnetic stimulation to activate a localized brain area, and then used EEG to observe the spread of activity. The activity spread only locally in anes- thetized people, sleeping people, and most people in a veg- etative state. It spread more widely for people in a minimally conscious state (Casali et al., 2013; Rosanova et al., 2012). This method offers a potentially quick way to probe for conscious- ness in an unresponsive person.

Another example: Suppose you hear a recorded word that is carefully engineered to sound halfway between dent and tent. We’ll call it *ent. If you hear it in the phrase “*ent in the fender,” it sounds like dent. If you hear it in the phrase “*ent in the forest,” it sounds like tent. That is, later words changed what you heard before them (Connine, Blasko, & Hall, 1991).

One more example: Suppose you are watching a screen that at unpredictable times displays a faint set of lines for 50 ms, and your task is to say the angle of the lines. Sometimes it appears on the left of the screen and sometimes on the right. The difficulty is adjusted so you are correct a little more than chance, and you often say you didn’t see it at all. Now suppose that 400 ms after the stimulus, a cue flashes to tell you whether the stimulus was on the left or right of the screen. That stimu- lus increases the chance you will say you saw the stimulus, and increases your accuracy of identifying its angle (Sergent et al., 2013). So you are capable of becoming conscious of something after it is gone. Somehow your brain held it in reserve, capable of activating it after the fact.

STOP & CHECK 21. In what way does the phi phenomenon imply that a new

stimulus sometimes changes consciousness of what went before it?

ANSWER

21. Someone who sees a dot on the left and then a dot on the right perceives the dot as moving from left to right. The perceived movement would have occurred before the dot appeared on the right, but the person had no reason to infer that movement until after the dot appeared on the right.

Conscious and Unconscious People When we ask about the physiological basis for consciousness, we need to distinguish two questions. So far we have focused on what happens when a waking, alert, conscious person be- comes conscious of a particular stimulus. The other question is what enables the person as a whole to be aware of anything at all. How do the brains of conscious people differ from those of people who are asleep, in a coma, or deeply anesthetized?

Two studies followed people as they lost consciousness un- der anesthesia and then regained it as the drug effects wore off. Loss of consciousness was marked by decreased overall activity and especially by decreased connectivity between the cerebral cortex and subcortical areas such as the thalamus, hypothalamus, and basal ganglia. Initial recovery of consciousness depended on increased connectivity between subcortical and cortical areas, and later increases in alertness depended on increased activity in the cortex (Långsjö et al., 2012; Schröter, 2012). A study with monkeys also found that a loss of synchrony and connectivity be- tween cortical areas preceded a loss of consciousness (Ishizawa et al., 2016). Recall the earlier discussion that consciousness of a stimulus requires a spread of activity over much of the brain. With a loss of connectivity, no stimulus can spread its activity, and the person is conscious of nothing.

STOP & CHECK 22. As people lost consciousness under anesthesia and later

regained it, what changed most strikingly in the brain?

ANSWER 22. Connectivity among brain areas increased as people regained consciousness.

Attention Attention isn’t synonymous with consciousness, but it is closely related. Of all the information that strikes your eyes, ears, and other receptors, you are conscious of only those few to which you direct your attention (Huang, Treisman, & Pashler, 2007). For example, consider inattentional blindness or change blindness: If something in a complex scene changes slowly, or changes while you blink your eyes, you probably will not notice it unless you are paying attention to the par- ticular item that changes (Henderson & Hollingworth, 2003; Rensink, O’Regan, & Clark, 1997).

Brain Areas Controlling Attention Psychologists distinguish bottom-up from top-down at- tention. A bottom-up process depends on the stimulus. If you are sitting on a park bench, gazing off into the distance,

08202_ch13_ptg01.indd 446 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.2 Conscious and Unconscious Processes 447

the color-vision areas of the cortex and decrease the activity in the areas responsible for identifying words (Polk, Drake, Jonides, Smith, & Smith, 2008).

Your ability to resist distraction fluctuates. Sometimes your “mind wanders,” interfering with a task, especially a difficult one (Thomson, Besner, & Smilek, 2015). In one ex- periment, people’s task was to find a circle within an array of squares. On some trials, one of the squares was red instead of green. Anything that is different attracts attention, and on the average, people responded a bit more slowly on trials with a red square present. However, the speed of responding varied from trial to trial. On trials when activity was enhanced in the middle frontal gyrus (part of the prefrontal cortex) at the start of the trial (before seeing the stimuli), people did best at ig- noring the red square and thereby resisting distraction (Leber, 2010). This result confirms the importance of the prefrontal cortex in directing attention.

when suddenly a deer runs past you, it grabs your attention. A top-down process is intentional. You might be looking for someone you know in a crowd, and you check one face after another to find the one you want. Sometimes a top-down pro- cess overrules bottom-up processes. Suppose you are looking for a friend in a crowd, but it’s a carnival crowd. Many peo- ple are dressed as clowns or wearing other gaudy attire, but your friend is wearing a plain shirt and blue jeans. You need to suppress the attention and activity that the unusual items would ordinarily attract (Mevorach, Hodsoll, Allen, Shalev, & Humphreys, 2010). Deliberate, top-down direction of atten- tion depends on parts of the prefrontal cortex and parietal cortex (Buschman & Miller, 2007; Rossi, Bichot, Desimone, & Ungerleider, 2007). They direct attention by facilitating re- sponsiveness in parts of the thalamus, which in turn increase the activation of appropriate areas of the sensory cortex (Engel et al., 2016; Wimmer et al., 2015).

You can control your attention (top- down) even without moving your eyes. To il- lustrate, keep your eyes fixated on the central x in the following display. Then attend to the G at the right and gradually shift your attention clockwise around the circle. Notice how you become aware of different parts of the circle without moving your eyes. As you deliberately shift your attention, you increase activity in one part after another of the visual cortex (Kamitani & Tong, 2005; Wegener, Freiwald, & Kreiter, 2004).

TRY IT YOURSELF

W

Z A

V R

B x G

N K

F PJ

Another demonstration: What is the current sensation in your left foot? Chances are, before you read this question, you were not conscious of any sensation in your left foot. When you directed your attention to it, activity increased in the corresponding part of the somatosensory cortex (Lambie & Marcel, 2002).

One of psychologists’ favorite ways to study attention is the Stroop effect, the dif- ficulty of ignoring words and saying the color of ink. In the following display, say aloud the color of ink of each word, ignoring the words themselves:

RED BLUE GREEN GREEN BROWN BLUE RED PURPLE GREEN RED

After all your years of learning to read words, it is hard to sup- press that habit and respond to the color instead. However, when people successfully do so, they enhance the activity in

TRY IT YOURSELF

STOP & CHECK 23. What brain response was related to people’s ability to resist

distraction from an irrelevant red square among the green squares and circle?

ANSWER

23. Resistance to distraction related to the amount of activity in part of the prefrontal cortex before the presentation of stimuli.

Spatial Neglect Brain damage can produce special types of attention prob- lems. Many people with damage to the right hemisphere show spatial neglect—a tendency to ignore the left side of the body, the left side of objects, much of what they hear in the left ear, and much of what they feel in the left hand, especially in the presence of any competing sensation from the right side. Some people have been known to put clothes on only the right side of the body. These effects are most pronounced early after a stroke or other damage, and most people show at least partial recovery over the next 10 to 20 weeks (Nijboer, Kollen, & Kwakkel, 2013). (Damage in the left hemisphere seldom produces significant neglect of the right side.)

If asked to point straight ahead, most patients with ne- glect point to the right of center. If a patient with neglect is shown a long horizontal line and asked to divide it in half, gen- erally he or she picks a spot to the right of center, as if part of the left side wasn’t there (Richard, Honoré, Bernati, & Rous- seaux, 2004).

Some patients with neglect also show deviations when estimating the midpoint of a numerical range. For example, what is halfway between 11 and 19? The correct answer is, of course, 15, but some people with neglect say “17.” Evidently, they discount the lower numbers as if they were on the left side (Doricchi, Guariglia, Gasparini, & Tomaiuolo, 2005; Zorzi, Priftis, & Umiltà, 2002). At least in Western society,

08202_ch13_ptg01.indd 447 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

448 CHAPTER 13 Cognitive Functions

with the left hand, especially if the right hand feels something at the time. However, if you cross one hand over the other as shown in Figure 13.17, the person is more likely to report feeling the left hand, which is now on the right side of the body (Aglioti, Smania, & Peru, 1999). Also, the person ordi- narily has trouble pointing to anything in the left visual field but has somewhat better success if the hand was so far to the left that he or she would have to move it to the right to point to the object (Mattingley, Husain, Rorden, Kennard, & Driver, 1998). Again, the conclusion is that neglect is not due to a loss of sensation but a difficulty in directing attention to the left side.

many people visualize the numbers as a line stretching to the right, as in the x axis of a graph. People also tend to imag- ine time as moving from left to right. Researchers presented some made-up statements about the past and the future, and then tested how well some people with spatial neglect remem- bered the statements. They forgot more statements about the past than about the future, again suggesting neglect of things imagined to be toward the left (Saj, Fuhrman, Vuilleumier, & Boroditsky, 2014).

Although some neglect patients have sensory losses, in many cases, the main problem is loss of attention rather than impaired sensation. One patient was shown a letter E, com- posed of small H’s, as in Figure 13.16(a). She identified it as a big E composed of small H’s, indicating that she saw the whole figure. However, when she was then asked to cross off all the H’s, she crossed off only the ones on the right. When she was shown the figures in Figure 13.16(b), she identified them as an O composed of little O’s and an X composed of little X’s. Again, she could see both halves of both figures, but when she was asked to cross off all the elements, she crossed off only the ones on the right. The researchers summarized by saying she saw the forest but only half the trees (Marshall & Halligan, 1995).

Several procedures increase attention to the neglected side. Simply telling the person to pay attention to the left side helps briefly. So does having the person look left while at the same time feeling an object with the left hand (Vaishnavi, Calhoun, & Chatterjee, 2001) or hearing a sound from the left side of the world (Frassinetti, Pavani, & Làdavas, 2002).

Other manipulations also shift the attention. For exam- ple, some patients with neglect usually report feeling nothing

H H H H H H H H H H

HHHHHHHHH

HHHHHHHHH

HHHHHHHHH

Figure 13.16 Spatial neglect A patient with neglect identified the overall figures as E, O, and X, indicat- ing that she saw the whole figures. However, when asked to cross off the elements that composed them, she crossed off only the parts on the right. (Source: From “Seeing the forest but only half the trees?,” by J. C. Marshall and P. W. Halligan, Nature, 373, pp. 521–523, Fig. 1 [parts C and E]. © 1995 Nature.)

Figure 13.17 A way to reduce sensory neglect Ordinarily, someone with right hemisphere damage neglects the left arm. However, if the left arm crosses over or under the right, attention to the left arm increases.

STOP & CHECK 24. What is the evidence that spatial neglect is a problem in

attention, not just sensation? 25. What procedures increase attention to the left side in a per-

son with spatial neglect?

ANSWERS

24. When a patient with neglect sees a large letter com- posed of small letters, he or she can identify the large letter but then neglects part of it when asked to cross off all the small letters. Also, someone who neglects the left hand pays attention to it when it is crossed over the right hand. 25. Simply telling the person to attend to some- thing on the left helps temporarily. Having the person look to the left while feeling something on the left side increases attention to the felt object. Crossing the left hand over the right increases attention to the left hand. Moving a hand far to the left makes it easier for the per- son to point to something in the left visual field because the hand will move toward the right to point at the object.

Attending to Attention and Being Conscious of Consciousness

Module 13.2 In Closing

Ph ot

o Co

ur te

sy o

f I . B

en -A

m i B

ar ta

l a nd

P eg

gy M

as on

. P ho

to C

re di

t: Ke

vi n

Ji an

g

08202_ch13_ptg01.indd 448 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.2 Conscious and Unconscious Processes 449

Attending to Attention and Being Conscious of Consciousness

Does research on the brain correlates of consciousness, like the studies described in this chapter, explain the relationship between brain activity and consciousness? Does it solve the mind–brain problem? No. Could it, if we improve our tech- nology enough to explore brain activity in ever more com- plete detail? Some researchers believe it could, whereas others remain skeptical. One fundamental question is this: Suppose researchers establish exactly which neurons are responsible for a particular visual perception. The input to those neurons is just glutamate, GABA, and other neurotransmitters. How do those neurons “know” that the input of those transmitters came from visual stimuli? That is, why does activity of those

particular neurons constitute a visual experience? Indeed, why does it constitute a conscious experience at all?

Perhaps someday someone—maybe you!—will propose a great insight into these difficult issues. In the meantime, researchers are learning much about what the brain has to do to produce conscious experiences, and we are moving toward using brain measurements to determine whether an unrespon- sive person is or is not conscious. Perhaps someday we can use similar strategies to infer consciousness or its absence in nonhu- man animals, or to infer when consciousness emerges in early human development. Consciousness, which psychologists used to reject as a research topic, now has become an exciting one.

Module 13.2 In Closing

Summary 1. Dualism—the belief in a nonmaterial mind that exists

separately from the body—conflicts with the conserva- tion of matter and energy, one of the best-established principles of physics. Nearly all neuroscientists and phi- losophers accept some version of monism, the idea that mental activity is inseparable from brain activity. 441

2. The hard problem is the question of why consciousness exists at all. Most scientists and philosophers agree that we cannot answer this question, at least at present. 442

3. To identify the brain activities associated with conscious- ness, researchers present the same stimulus under condi- tions when an observer probably will or probably will not identify it consciously. 442

4. When someone is conscious of a stimulus, the representa- tion of that stimulus spreads over a large portion of the brain. 442

5. A stimulus can influence our behavior without conscious- ness. Even before a stimulus becomes conscious, the brain processes the information enough to identify something as meaningful or meaningless. 444

6. People almost never say they were partly conscious of something. It may be that consciousness is a threshold

phenomenon: We become conscious of anything that exceeds a certain level of brain activity, and we are not conscious of other events. 445

7. We are not always conscious of events instantaneously as they occur. Sometimes, a later event modifies our con- scious perception of a stimulus that went before it. 445

8. Researchers sometimes use brain recordings to infer whether someone is conscious. A few people diagnosed as being in a vegetative state have shown possible indica- tions of consciousness. 446

9. Attention to a stimulus requires increased brain responses to that stimulus and decreased responses to others. The prefrontal cortex is important for top-down control of attention. 446

10. Damage to parts of the right hemisphere produce spatial neglect for the left side of the body or the left side of objects. 447

11. Neglect results from a deficit in attention, not sensation. For example, someone with neglect can see an entire letter enough to say what it is, even though that same person ignores the left half when asked to cross out all the elements that compose it. 448

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

backward masking 442 binocular rivalry 443 conscious 442 dualism 441 flash suppression 442 hard problem 442

identity position 442 inattentional blindness 446 masking 442 materialism 442 mentalism 442 mind–brain problem 441

monism 441 phi phenomenon 445 spatial neglect 447 Stroop effect 447

08202_ch13_ptg01.indd 449 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

450 CHAPTER 13 Cognitive Functions

1. Could a computer be conscious? What evidence, if any, would convince you that it was conscious?

2. How might one try to determine whether a nonhu- man animal is conscious?

Thought Questions

Module 13.2 End of Module Quiz

1. Which of the following best states the identity position regarding mind and brain? A. The physical world cannot exist unless a mind is

aware of it. B. Mental activity causes brain activity.

C. Brain activity causes mental activity. D. Mental activity and brain activity are the same thing.

2. What do the following have in common: flash suppression, backward masking, and binocular rivalry? A. They prevent consciousness of a stimulus that some-

one would otherwise perceive. B. They measure the time required for a stimulus to

reach consciousness.

C. They increase the spread of information to wide- spread areas of the cortex.

D. They improve someone’s ability to maintain attention despite distraction.

3. What procedure is used in backward masking? A. participant views a stationary dot surrounded by

bright flashing dots. B. Researchers present a brief visual stimulus followed

by a second, longer stimulus.

C. A participant views one scene in the left eye and an incompatible scene in the right eye.

D. A participant views a dot in one position alternating with a similar dot nearby.

4. If your left eye views red vertical stripes and your right eye views green horizontal stripes, what do you perceive? A. Red and green stripes superimposed B. Yellow diagonal stripes

C. A white field without stripes D. Alternation between seeing red stripes and seeing

green stripes

5. What happens when you are conscious of a stimulus that does not happen when the same stimulus is present without your consciousness of it? A. Rhythms of activity in the brain become more

variable. B. Activity increases in the pineal gland.

C. The response in the right hemisphere is greater than in the left.

D. The response to the stimulus spreads to much of the brain.

6. People are conscious of a prolonged stimulus, but not one with an extremely short presentation. What happens at an inter- mediate duration of presentation? A. People report being partly conscious of it. B. People are sometimes conscious of it and sometimes

not, and the difference depends only on what happens at that moment.

C. People are sometimes conscious of it and sometimes not, and stimuli after the event can influence the outcome.

D. People report consciousness of a faint, blurry image.

7. What happens in the brain when people lose consciousness? A. Neurons stop producing action potentials. B. Synapses release only GABA and not

glutamate.

C. The eyes, ears, and other sensory receptors stop send- ing information to the brain.

D. Activity in one brain area does not effectively spread to other areas.

8. Certain people in a vegetative state gave possible indication of consciousness by doing what? A. Laughing or crying in response to what someone said. B. Moving their eyes to the left or right to answer yes/no

questions.

C. Different brain activity after directions of what to imagine doing.

D. Squeezing the hand of a loved one.

08202_ch13_ptg01.indd 450 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.2 Conscious and Unconscious Processes 451

9. What happens in top-down attention? A. A strong sensory stimulus inhibits responses to

other, simultaneous stimuli. B. The upper layers of the cerebral cortex inhibit the

lower layers.

C. Activity from upper layers of the cerebral cortex excites the lower layers.

D. The prefrontal cortex facilitates activity in appropriate sensory areas.

10. Suppose someone who is trying to divide a horizontal line in half picks a spot far to the right of center. This result suggests probable damage or malfunction in which part of the brain? A. The left hemisphere B. The right hemisphere

C. The prefrontal cortex D. The primary visual cortex

11. If someone has spatial neglect of the left side, which of these procedures, if any, would increase attention to a touch sensa- tion on the left side? A. Ask the person to look to the left during the touch

sensation. B. Ask the person to look to the right during the touch

sensation.

C. Ask the person to listen to music during the touch sensation.

D. None of these procedures would have any noticeable effect.

Answers: 1D, 2A, 3B, 4D, 5D, 6C, 7D, 8C, 9D, 10B, 11A.

08202_ch13_ptg01.indd 451 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

452

Making Decisions and Social Neuroscience

Module 13.3

the prefrontal cortex called the frontal orienting fields, adjacent to the motor cortex, one set of cells responded when the left side was ahead, and a different set responded when the right side was ahead. That is, responses in the posterior parietal cor- tex are graded, but responses in the frontal cortex produce an all-or-none outcome, like a scorekeeper who announces which team has won the game (Hanks et al., 2015). After damage to the frontal orienting fields, a rat is unable to keep track of the score, and it bases its decision on the last clicks it heard, instead of a running tally over even a brief period of time (Erlich, Brunton, Duan, Hanks, & Brody, 2015).

However, although these results seem to suggest that the cells in the posterior parietal cortex are counting the clicks, procedures that inactivate the posterior parietal cortex have little effect on the rat’s behavior on this task (Brody & Hanks, 2016). Evidently the posterior parietal cortex is just echoing a process taking place somewhere else, and we do not yet know where that is.

In a similar type of study, a monkey gazes at a fixation point and responds with a left or right eye movement based on whether it sees dots moving left or right. The task is more dif- ficult than it sounds, because only a few dots are moving, and a much larger number of dots are constantly appearing and then disappearing at random positions on the screen. The monkey watches for a while, and then has to wait a few seconds before responding. Within part of the parietal cortex, one set of cells is more active if the dots appeared to be moving left, and a dif- ferent set responds if the dots were apparently moving right. During the delay before the monkey is allowed to respond, the relative response of the two types of cells shifts more and more

L ife is full of decisions. Some are big ones: Where shall I go to college? What kind of job shall I seek? Should I marry this person or not? Some are small ones: Should I wear the green sweater or the blue one today? What kind of sandwich do I want for lunch? Shall I study a little longer tonight or go to sleep now? In each case, you consider the possible pluses and minuses.

Human life is also full of social interactions. Many couples spend their whole adult lifetime together, helping each other, their children, and their grandchildren. Many people devote great efforts to helping people they don’t know, occasionally even risking their own lives. Economic cooperation makes possible enormous opportunities. Tonight you might drive a car made in Europe and powered by fuel from the Middle East so you can eat food grown by farmers in Asia, cooked accord- ing to a recipe from South America, at a restaurant built by people in a previous century. And you are protected from disease by the combined efforts of medical researchers from many countries and many centuries.

In this module we consider your brain activity during decision making and social behavior. These topics are not closely related, but we consider them together just because the treatment of each topic is short. Research on both topics began more recently than for the rest of neuroscience, and the conclusions are tentative.

Perceptual Decisions One type of decision is factual: Should we expect rain today or not? Do these glasses improve my vision more than those do? Is the meal that I am cooking ready to come out of the oven, or not? To answer questions like these, you weigh the evidence.

The simplest way to imagine how the brain does this is to have one set of cells accumulate evidence in favor of one choice, another set accumulate evidence for the other choice, and a third set compare the two. Much evidence seems consistent with this idea (though not yet conclusive). In one study, a rat had to put its nose into a central port, listen to clicks, and then turn to the side with more clicks. Figure 13.18 shows the setup. Within the pos- terior parietal cortex, one set of cells responded in proportion to the number of clicks on the left, and another set responded in proportion to the number of clicks on the right. Within part of

More clicks on right go right

go leftMore clicks on left

Figure 13.18 Design for a study of decision making in rats If the rat heard more clicks on the left side, it can turn left for reward. If it heard more on the right side, it can turn right for reward.

08202_ch13_ptg01.indd 452 9/14/17 11:49 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.3 Making Decisions and Social Neuroscience 453

For example, if choice A has usually been better than choice B, but something currently favors choice B, the rapid- learning prefrontal cortex can overrule the slower-learning basal ganglia (Brigman et al., 2013; Kovach et al., 2012). Sup- pose you have an opportunity to bet on “red” at a roulette wheel, but on some trials the wheel has mostly red slots and on other trials it has only a few red slots. You would, presum- ably, bet more heavily on red when you see more red slots. People with damage to the prefrontal cortex tend to bet about the same amount each time, based on their average expecta- tion rather than what is true at the moment (Struder, Manes, Humphreys, Robbins, & Clark, 2015). Most, though not all, people with ventromedial prefrontal damage seem less sen- sitive than average to the possible rewards at the moment (Manohar & Husain, 2016).

An additional role of the ventromedial prefrontal cortex is to monitor confidence in one’s decisions. People with dam- age to this area tend to be overconfident in many ways, such as gambling heavily or making impulsive decisions without carefully considering the likely consequences. People with Korsakoff ’s syndrome, discussed in Chapter 12, suffer damage to the ventromedial prefrontal cortex among other areas, and a common result is high confidence in the answers that they confabulate (Hebscher & Gilboa, 2016).

The ventromedial prefrontal cortex and other areas relay information to the nearby orbitofrontal cortex (see Figure 13.19), which responds based on how an expected re- ward compares to other possible choices. For example, getting a B1 on your term paper might be delightful or disappointing, depending on what grade you had been expecting (Frank & Claus, 2006). You might prefer a pizza at one time, but pre- fer cake at another time. The orbitofrontal cortex updates the expected value of one action or another, based on your cur- rent circumstances (Rudebeck & Murray, 2014). In one study

strongly in one direction. For example, if the “look left” cells were a little ahead of the “look right” cells at the start of the de- lay, they become more and more ahead as time passes, as if the monkey is becoming more certain of the decision. However, as in the case of the click-counting study, inactivating this part of the parietal cortex has little effect on the decision, so these cells are echoing a decision process taking place somewhere else, not making the decision themselves (Katz, Yates, Pillow, & Huk, 2016; Latimer, Yates, Meister, Huk, & Pillow, 2015; Shadlen & Newsome, 1996).

Another type of research examines what happens when a rat in a difficult maze decides which direction to turn at a choice point. The rat stops and looks one way and then the other a few times before proceeding. By recording from place cells, as described in Chapter 12, researchers can “read a rat’s mind” at that point. Recordings from the rat’s hippocampus show that cells become active in the same order as if the rat were actually walking down one path or the other. That is, re- searchers watch the brain activity as the rat (apparently) imag- ines trying each route (Redish, 2016). Researchers get similar recordings from human brains while people imagine moving from one place to another (T. I. Brown et al., 2016; Jacobs et al., 2013; J. F. Miller et al., 2013). Many people have asserted that humans are the only species that can imagine the future. They are wrong about that. Even rats can imagine the future, at least the very near future.

STOP & CHECK 26. When a rat is deciding whether it hears more clicks on the

left or right side, what happens in the frontal orienting fields?

27. What evidence says that rats can imagine the future?

ANSWERS

26. Depending on which ear is “ahead” at a given point, one set of cells or a different set of cells becomes active. 27. While pausing at a choice point in a maze, place cells in the hippocampus become active in the sequence that would occur as the rat traveled down one arm or the other in the maze.

Decisions Based on Values Many decisions depend on preferences. You start by estimat- ing what outcome each choice would bring, and then you de- cide which outcome seems better. In everyday life, you might consider many choices, but laboratory researchers simplify the situation by offering only two choices. For rats or mice, the choice might be to turn left or right for different types of reward or different probabilities of reward. For people, the choice might be to bet on one result or a different one. Sup- pose, as is realistic in everyday life, the payoff for one choice is usually better than the other, but not always. In that case, cells in the basal ganglia gradually learn which choice is better. Cells in the ventromedial prefrontal cortex also participate, apparently by modifying the responses of the basal ganglia.

Orbitofrontal cortex (continues around the side)

Ventromedial prefrontal cortex

Figure 13.19 Two areas of the prefrontal cortex The ventromedial prefrontal cortex and the orbitofrontal cortex are important contributors to decisions.

Co ur

te sy

o f D

r. Da

na C

op el

an d

08202_ch13_ptg01.indd 453 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

454 CHAPTER 13 Cognitive Functions

The Biology of Love Social neuroscience, the study of how genes, chemicals, and brain areas contribute to social behavior, is a relatively new area of study, but one that excites growing enthusiasm. We shall consider two topics, love and altruism.

Suppose you are passionately in love with someone. Ac- cording to studies using fMRI, looking at pictures of the person you love strongly activates the brain areas associated with re- ward, in ways similar to the high that people report from ad- dictive drugs (Burkett & Young, 2012). Viewing photos of your beloved also activates the hippocampus and other areas impor- tant for memory and cognition (Ortigue, Bianchi-Demicheli, Patel, Frum, & Lewis, 2010). (Thinking about someone you love evokes memories of what you have done together.) The point is that what we call love combines motivations, emotions, memories, and cognitions.

The role of oxytocin and the closely related hormone va- sopressin has attracted much attention. Oxytocin stimulates contractions of the uterus during childbirth, stimulates breasts to produce milk, and tends to promote maternal behavior, so- cial approach, and pair bonding in many mammalian species (Marlin, Mitre, D’amour, Chao, & Froemke, 2015; McCall & Singer, 2012; Sobota, Mihara, Forrest, Featherstone, & Siegel, 2015). Both men and women release it during sexual activity. It has been called the “love hormone,” although a better term might be love-enhancing or love-magnifying hormone.

A convenient way to study oxytocin’s effects is to give it to people as a nasal spray and compare its effects to a placebo. Oxytocin passes directly from the nasal cavity to the brain and exerts effects about half an hour later, although exactly how much reaches the brain is not certain. In one study, men who reported being passionately in love viewed photos of their female partner and other women, rating the attractiveness of each. They rated their partner higher when under the influence of oxytocin than that of a placebo. The oxytocin did not change their ratings of other women (Scheele et al., 2013). So oxytocin didn’t increase attraction to everyone, but just to someone already loved.

In another study, heterosexual men received oxytocin or a placebo before meeting an attractive woman. The research- ers simply measured how far away each man stood. Oxytocin did not influence single men’s behavior, but it caused those in a monogamous relationship to stand farther away from the attractive woman (Scheele et al., 2012). That is, it apparently enhanced a man’s fidelity to his partner, decreasing his will- ingness to face the temptation of another attractive woman.

Oxytocin helps people who have trouble recognizing faces, and people who can recognize faces but have trouble identifying their emotional expressions. In both cases, oxy- tocin has little or no effect on people who already recognize faces and expressions. It just helps those who were doing poorly (Bate et al., 2014; Guastella et al., 2010).

In many situations, oxytocin’s effect on social relations de- pends on who the other people are. It increases conformity to the opinions of your in-group (people you perceive to be like yourself) but not to the opinions of an out-group (Stallen, De

monkeys could choose (by moving their eyes left or right) be- tween two juices. They had learned symbols representing dif- ferent flavors of juice and different amounts of juice. So, on a given trial the choice might be between one drop of apple juice or two drops of cranberry juice, or between three drops of kiwi punch and one drop of peppermint tea. Many orbitofrontal cells responded to the preferred member of whatever pair was available. That is, a cell might respond to the sight of apple juice if it was preferred to cranberry, but respond to cherry on an- other trial if it was preferred to apple (Xie & Padoa-Schioppa, 2016). In a similar study, if a monkey had a choice between two rewards that were almost equal in value, its orbitofrontal neu- rons alternated many times between two patterns of activity, suggesting that the monkey was comparing two nearly equal values before deciding (Rich & Wallis, 2016).

Impairment or relative inactivity in the orbitofrontal cor- tex in humans is often associated with poor or impulsive deci- sions. Consider the Iowa Gambling Task: People can draw one card at a time from four piles. They always win $100 in play money from decks A and B, or $50 from C and D. However, some of the cards also have penalties:

A

Gain $100; one-half of all cards also have penalties averaging $250

B

Gain $100; one-tenth of all cards also have penalties of $1250

C

Gain $50; one-half of all cards also have penalties averaging $50

D

Gain $50; one-tenth of all cards also have penalties of $250

When you examine all the payoffs, you can easily see that the best strategy is to pick cards from decks C and D. In the ex- periment, however, people have to discover the payoffs by trial and error. Ordinarily, as they sample from all four decks, they gradually start showing signs of tension whenever they draw a card from A or B, and they shift their preference toward C and D. People with orbitofrontal damage choose C and D also if their first few choices from A and B hit them with penal- ties. However, if they start with a streak of wins from A and B, they are very slow to switch to C and D (Stalnaker, Cooch, & Schoenbaum, 2015). Again, the point is that the prefrontal cortex, especially the orbitofrontal cortex, updates the relative advantage or disadvantage of each possible choice.

STOP & CHECK 28. How does the role of the prefrontal cortex differ from that

of the basal ganglia?

ANSWER

28. The basal ganglia gradually learn a preference based on the usual result. The prefrontal cortex modifies that preference based on the most recent information.

08202_ch13_ptg01.indd 454 9/14/17 11:25 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.3 Making Decisions and Social Neuroscience 455

with a choice between rewarding just itself, or rewarding both itself and another monkey or chimpanzee seems almost indif- ferent to the other, unless the other is a relative or long-term associate (Chang, Gariépy, & Platt, 2013; Silk et al., 2005).

Moral and religious leaders teach us that we should ex- tend kindness to everyone, but in fact most people tend to be more generous toward those they see as similar to themselves. For example, if you watch someone who is feeling socially re- jected by others, you will “feel the pain” and your brain will react accordingly, but you will react more strongly if the per- son feeling rejected is one of your relatives or close friends (Beeney, Franklin, Levy, & Adams, 2011).

From an evolutionary standpoint, it makes sense to be al- truistic toward your relatives, and someone who seems similar is more likely to be related to you than someone very different. However, some people show much stronger in-group biases than others do. Even rats show an in-group bias. Imagine a rat trapped in a plastic tube. A second rat outside the tube can open the door to let it escape. If they are from the same strain, such as two albino rats, the second rat opens the door. If they are from different strains, such as one albino rat and one hooded rat, the second rat ignores the trapped rat (see Figure 13.20). However, if an albino rat was reared through- out its life with other hooded rats, it helps a hooded rat but not another albino rat (Ben-Ami Bartal et al., 2014). Rats don’t look at themselves in mirrors, and therefore a rat reared with hooded rats assumes it is one too!

Some people show much more empathy than others do. Much of that variation pertains to culture and family upbring- ing, but biological factors contribute also. The most profound effect occurs in a condition called frontotemporal dementia (or frontotemporal lobe degeneration), in which parts of the frontal and temporal lobes of the cerebral cortex gradually degenerate. The effects depend on the exact location of damage, but often the damage includes the ventromedial prefrontal cortex and

Dreu, Shalvi, Smidts, & Sanfey, 2012). In certain economic games, you can protect your initial money or invest it in a coop- erative venture with someone else, trusting that the other person won’t cheat you. One study found that oxytocin increases trust toward your in-group members, but could increase, decrease, or have no effect on trust toward other people, depending on what you think of those people (van Ijzendoorn & Bakermans- Kranenburg, 2012). Unfortunately, the research on this topic has mostly presented small effects and we should be wary of draw- ing firm conclusions (Nave, Camerer, & McCullough, 2015).

The effects of oxytocin are not always pro-social. When people perceive themselves as being threatened, oxytocin in- creases their attention to possible dangers, increasing their anger, distress, and negative reactions to others, especially to strangers (Olff et al., 2013; Poulin, Holman, & Buffone, 2012). People who in general distrust others become even more dis- trustful under the influence of oxytocin (Bartz et al., 2011).

Definitely, we need more good research in this area. At this point, a tentative conclusion is that oxytocin increases at- tention to important social cues (Olff et al., 2013). The result is greater attention to facial expressions and stronger positive or negative responses to others, based on the information available. In any case, oxytocin does not appear to increase love, trust, or any other reaction on an absolute basis.

Empathy and Altruism Civilized life depends on people helping one another. You might help explain something to a fellow student who is com- peting with you for a good grade in a course. You might con- tribute money to help victims of a natural disaster on the other side of the world. Helpfulness depends on empathy, the ability to identify with other people and feel their pain almost as if it were your own. Although empathy is not unique to humans, it is stronger in us than in other species. A monkey or chimpanzee

Figure 13.20 Out-group bias in rats A rat will open the door to help a member of its own strain escape from a plastic tube, but it will not help a member of a different strain. (Source: Photo Courtesy of I. Ben-Ami Bartal and Peggy Mason.)

Ke vi

n Ji

an g

08202_ch13_ptg01.indd 455 9/14/17 11:26 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

456 CHAPTER 13 Cognitive Functions

are watching. Unless you are a fine singer, you will presumably feel embarrassed. In contrast, people with frontotemporal de- mentia seem quite calm, even if their singing is dismally bad (Sturm, Ascher, Miller, & Levenson, 2008).

orbitofrontal cortex. These areas that are important for evalu- ating possible rewards are also important for interpreting and evaluating other people’s emotional expressions (Delgado et al., 2016; Jenkins et al., 2014). Often, therefore, people with dam- age of this type do not recognize or respond to other’s reactions, including reactions of distress, and therefore they show little em- pathy or concern (Oliver et al., 2015; Van den Stock et al., 2015). As mentioned in Chapter 11, people with damage in the ventro- medial prefrontal cortex are more likely than others to calmly endorse a utilitarian moral position that it would be okay to kill one person to save five, under a variety of circumstances.

People with frontotemporal dementia also show little in- terest in how others perceive them. For example, they neglect their personal hygiene (Waldo, 2015). They also fail to show embarrassment. Suppose an experimenter asks you to sing, karaoke-style, in a room by yourself, but secretly videotapes your performance and then shows it to you while other people

STOP & CHECK 29. Why is it misleading to call oxytocin the “love hormone”? 30. How is the role of the ventromedial prefrontal cortex and

orbitofrontal cortex similar for value decisions and social behavior?

ANSWERS

29. Oxytocin apparently magnifies love that was already present, but it does not create love toward a stranger. 30. In both cases these brain areas are important for interpreting and evaluating information relevant to choices and actions.

Biology of Decisions and Social Behavior

You may have noticed that this was a short module. Why do neuroscientists have so much more to say about vision, for example, than decisions or social behavior? The reason cer- tainly has nothing to do with a lack of interest. The reason is that researchers prefer questions that they know how to

answer. With vision or other senses, they can control the stim- uli precisely and measure responses with reasonable accuracy. Decision making and social behavior are complicated. The effort to understand them biologically has just begun, but at least it has begun.

Module 13.3 In Closing

Summary 1. In a perceptual decision, cells (somewhere in the brain)

respond in proportion to evidence favoring one choice or the other, but the frontal orienting field responds on an all- or-none basis to which choice the evidence favors so far. 452

2. When a rat pauses at a choice point in a maze, hippocam- pal place cells respond in a sequence as if the rat is travel- ing down one arm of the maze or the other. 453

3. For a decision of which outcome is preferable, the ventro- medial prefrontal cortex responds to recent information by modifying the responses of the slower-learning basal ganglia. 453

4. The ventromedial prefrontal cortex is also important for monitoring how confident one should be about a decision. 453

5. The orbitofrontal cortex evaluates each possible choice relative to the value of other available choices. 453

6. People with damage to the prefrontal cortex are slow to switch strategies in situations such as the Iowa Gambling Task. 454

7. Passionate love excites the brain in ways that resemble those of addictive drugs. 454

8. Based on current evidence, it appears that the role of the hormone oxytocin is to increase attention to social cues. The result could be either increased or decreased attrac- tion and trust. 454

9. Both humans and rats show a tendency to help those they perceive as similar to themselves, more than those they perceive as different. However, some show that tendency more strongly than others. 455

10. People with frontotemporal dementia are poor at under- standing others’ emotions, and therefore unlikely to show empathy. 455

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

08202_ch13_ptg01.indd 456 9/15/17 7:05 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

13.3 Making Decisions and Social Neuroscience 457

empathy 455 frontotemporal dementia 455

orbitofrontal cortex 453 oxytocin 454

social neuroscience 454 ventromedial prefrontal cortex 453

1. What effect would you predict that oxytocin would have on empathy?

2. What would you predict about the brain reactions of people with psychopathic traits?

Thought Questions

Module 13.3 End of Module Quiz

1. During a perceptual decision, what happens in the frontal orienting fields? A. Each cell responds in proportion to the evidence

favoring one choice or the other. B. Cells compare inputs from elsewhere to determine

which side is ahead.

C. Cells send inhibitory messages to the muscles until the time for response arrives.

D. Cells produce gamma waves to synchronize the visual areas with the auditory areas.

2. Can rats “think about the future”? And what is the evidence? A. No, they cannot, because they do not have a prefrontal

cortex. B. Yes. Neuroscientists monitor rats’ dreams that include

possible activities.

C. Yes. At a choice point, hippocampal place cells imagine possible routes.

D. Yes. Their frontal orienting fields respond to choices before they are offered.

3. In a value decision, how do responses by the ventromedial prefrontal cortex differ from those of the basal ganglia? A. The ventromedial prefrontal cortex excites, whereas

the basal ganglia inhibit. B. The ventromedial prefrontal cortex responds on an

all-or-none basis.

C. The ventromedial prefrontal cortex adjusts more rapidly to new information.

D. The ventromedial prefrontal cortex is sensitive to rewards and punishments.

4. How would someone with prefrontal damage probably react on the Iowa Gambling Task? A. Normal decisions, but lack of confidence in those

decisions B. Slow to switch from a poor strategy to a better

strategy

C. Extreme caution to avoid possible losses D. Random guessing

5. Which hypothesis best summarizes our current understanding about oxytocin? A. Oxytocin increases love and trust. B. Oxytocin helps people restrain their emotional

responses.

C. Oxytocin helps people overcome bad habits. D. Oxytocin increases attention toward social cues.

6. Which of the following helps explain why people with frontotemporal dementia fail to show empathy? A. They suffer a severe impairment of short-term memory. B. They are preoccupied with how they are regarded by

others.

C. They are impaired at understanding emotional expressions.

D. They become more eager than average to compete.

Answers: 1B, 2C, 3C, 4B, 5D, 6C.

Dehaene, S. (2016). Consciousness and the brain. New York: Viking Press. Excellent review of research on how the brain’s response differs between stimuli perceived consciously and those not perceived consciously.

Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016). Neu- ral correlates of consciousness: Progress and problems Nature Reviews Neuroscience, 17, 307–321. Detailed article reviewing research relating brain activity to conscious perception.

Kellogg, R. T. (2013). The making of the mind: The neurosci- ence of human nature. Amherst, NY: Prometheus. Theoretical view of what must have changed in our brains and behavior as humans evolved from primate ancestors.

Ornstein, R. (1997). The right mind. New York: Harcourt Brace. Very readable description of split-brain research and the differences between the left and right hemispheres.

Suggestions for Further Reading

08202_ch13_ptg01.indd 457 9/14/17 11:26 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

08202_ch14_ptg01.indd 458 9/14/17 2:34 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

459

A physician who wants to treat your cough will start by diagnosing the cause. Did the cough come from the flu, a cold, allergy, lung cancer, tuberculosis, or something else? A lab test can identify the correct diagnosis with reasonable

certainty, and a diagnosis informs the physician what treatment options are best.

Not many years ago, psychologists and psychiatrists were optimistic about

using a similar approach for mental illness. The idea was to give each person a diag-

nosis such as depression or schizophrenia, and then find the cause and best treat-

ment for each disorder. Research, however, has failed to support that approach.

Most people who fit the diagnosis for one disorder fit the diagnosis for one or

more other diagnoses also, and many people partly fit the diagnosis for several

diagnoses without exactly fitting the diagnosis for any of them (Ahn, Flanagan,

Marsh, & Sanislow, 2006; Caspi et al., 2014). The genes that predispose someone

to schizophrenia largely overlap the genes that predispose to bipolar disorder, the

genes that predispose to bipolar disorder overlap those that predispose to major

depression, and those that predispose to major depression overlap those that pre-

dispose to attention deficit disorder (Cross-Disorder Group, 2013; Geschwind &

Flint, 2015). The patterns of proteins, immune responses, and epigenetic changes

also overlap for schizophrenia, bipolar disorder, and major depression (Network

and Pathway Analysis Subgroup, 2015). In many cases a drug intended for the

treatment of one diagnosis also helps many patients with other diagnoses.

In short, the categorical approach to mental illness is not quite right. This

chapter is arranged around some traditional categories, mainly because most of

the research has dealt with the causes and treatments of some category of prob-

lems, such as depression or schizophrenia. In defense of this organization, the

categorical approach, though not quite right, is also not entirely wrong. Enough

people have a primary difficulty of substance abuse, depression, or schizophrenia

to justify research and tentative conclusions. Still, bear in mind that what pertains

to one disorder also pertains to many people diagnosed with a different disorder.

Module 14.1

Substance Abuse Drug Mechanisms Predispositions Synaptic Mechanisms Treatments In Closing: The Psychology and Biology

of Substance Abuse

Module 14.2

Mood Disorders Major Depressive Disorder Antidepressant Drugs Bipolar Disorder In Closing: The Biology of Mood Swings

Module 14.3

Schizophrenia Diagnosis Genetics The Neurodevelopmental Hypothesis Treatments In Closing: Many Remaining Mysteries

Module 14.4

Autism Spectrum Disorders Symptoms and Characteristics Genetics and Other Causes Treatments In Closing: Development and Disorders

After studying this chapter, you should be able to:

1. Describe the role of the nucleus accum- bens in reward.

2. Discuss cravings and their role in addiction. 3. Compare the role of genetics in substance

abuse, depression, schizophrenia, and autism.

4. List important aspects of prenatal environ- ment that may influence psychological disorders.

5. Describe medical and behavioral treat- ments for several psychological disorders.

Chapter 14Psychological Disorders

Chapter Outline

Learning Objectives

Opposite:

PET scans show widespread areas of high activity (yellow) for someone in a normal mood, and decreased activity for someone in a depressed mood. (Photo Researchers, Inc./Alamy Stock Photo)

08202_ch14_ptg01.indd 459 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

460

Substance Abuse

Module 14.1

If you were doing something and you found that it did you more harm than good, you would stop doing it, right? That is why substance abuse (or addiction or dependence) is such a paradox. As an addiction progresses, the pleasures become weaker while the costs and risks increase. When we talk about addiction, we think mainly of alcohol and other drugs, but the same principles apply to gambling, overeating, excessive video game playing, and any other habit that dominates and harms someone’s life.

Drug Mechanisms Let’s start with a brief description of how drugs work. Chap- ter  2 briefly mentioned the mechanisms of several drugs, but we now consider drugs from a different perspective. Most of the commonly abused drugs derive from plants. For example, nicotine comes from tobacco, caffeine from coffee and tea, opiates from poppies, and cocaine from coca. We might wonder why our brains respond to plant chemicals. An explanation is more apparent if we put it the other way: Why do plants produce chemicals that affect our brains? Nearly all neurotransmitters and hormones are the same in humans as in other species. So if a plant evolves a chemical to attract bees, repel caterpillars, or whatever, that chemical is likely to affect humans also.

Drugs either facilitate or inhibit transmission at syn- apses. A drug that blocks a neurotransmitter is an antagonist, whereas a drug that mimics or increases the effects is an agonist. (The term agonist is derived from a Greek word meaning “contestant.” The term agony derives from the same root. An antagonist is an “anti-agonist,” or member of the op- posing team.) A mixed agonist–antagonist is an agonist for some effects and an antagonist for others, or an agonist at some doses and an antagonist at others.

Investigators say that a drug has an affinity for a recep- tor if it binds to it, like a key into a lock. Affinities vary from strong to weak. A drug’s efficacy is its tendency to activate the receptor. A drug that binds to a receptor but fails to stimulate it has a high affinity but low efficacy.

The effectiveness and side effects of drugs vary from one person to another. Why? Most drugs affect several kinds of receptors. People vary in their abundance of each kind of

receptor. For example, one person might have a relatively large number of dopamine type D4 receptors and relatively few D1 or D2 receptors, whereas someone else has the reverse (Cravchik & Goldman, 2000).

Predispositions Most people drink alcohol in moderation, experiencing relax- ation and decreased anxiety, whereas others develop a habit of alcohol abuse. With other substances also, some people try a drug a few times and then quit, whereas others develop an addiction. Evidently people differ in their predisposition to alcohol or drug abuse.

An important study examined brain and behavior in cases when someone with drug or alcohol abuse had a nonabusing brother or sister. Both siblings showed similar abnormalities of both gray matter and white matter, with certain brain areas larger than average and other areas smaller. Both also showed similar behavioral deficits on the stop signal task, in which the instruction is to respond quickly to a signal, but immediately inhibit the response if a second signal comes immediately after the first (Ersche et al., 2012). Evidently, certain aspects of brain and behavior are present from the start in people with a pre- disposition to addiction, regardless of their later substance use.

Genetic Influences The probability of abusing alcohol or other drugs depends on both genetic and environmental influences. For example, parents’ amount of alcohol use correlates with that of both biological and adopted children, although it correlates more strongly with that of the biological children (McGue, Malone, Keyes, & Iacono, 2014). Children who grow up in an unstable

1. It is an antagonist because, by occupying the receptor, it blocks out the neurotransmitter.

STOP & CHECK 1. Is a drug with high affinity and low efficacy an agonist or an

antagonist?

ANSWER

08202_ch14_ptg01.indd 460 9/14/17 3:55 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.1 Substance Abuse 461

later, independently from the effect of how much she drinks as the child is growing up (Baer, Sampson, Barr, Connor, & Streissguth, 2003; Cornelius, De Genna, Goldschmidt, Larkby, & Day, 2016). Experiments with rats have also shown that pre- natal exposure to alcohol increases alcohol consumption after birth (March, Abate, Spear, & Molina, 2009).

Childhood environment is critical also. Children who grow up in families with careful parental supervision are much less likely to develop impulse problems, even if they have genes linked to alcohol abuse or antisocial behavior (Dick et al., 2009). Adult environment is especially important for late-onset alcoholism. As a rule, people with early-onset alcoholism (before age 25) have a family history of alcoholism, a genetic predisposition, and a rapid onset of the problem. People with later onset are more likely to have reacted to life difficulties, less likely to have a family history of alcoholism, and more likely to respond well to treatment (Brown, Babor, Litt, & Kranzler, 1994).

Behavioral Predictors of Abuse If genes, early environment, or anything else predisposes cer- tain people to drug or alcohol abuse, presumably the predis- position alters behavioral reactions to the substance. If so, it should be possible to monitor behavior of young people and predict their risk for later problems. Doing so might be useful. By the time someone has developed a serious substance abuse problem, overcoming it is difficult. If we could identify people at risk before they develop a significant problem, could inter- vention be more successful? It is worth a try.

To identify people at risk, one strategy is to study huge numbers of people for years: Measure as many factors as pos- sible for a group of children or adolescents, later determine which of them developed alcohol problems, and then see which early factors predicted the onset of alcoholism. Such studies find that alcoholism is more likely among those who were described in childhood as impulsive, risk taking, easily bored, sensation seeking, and outgoing (Dick, Johnson, Viken, & Rose, 2000; Legrand, Iacono, & McGue, 2005).

Other research follows this design: First, identify young men who are not yet problem drinkers. (Researchers focused first on men, because early-onset alcoholism is much more common in men than in women.) Compare men whose fa- thers had alcoholism to men who have no close relative with an alcohol problem. Because of the strong familial tendency

2. The liver metabolizes alcohol to acetaldehyde, which is toxic, and then to acetic acid. People whose enzymes are slow to metabolize acetaldehyde to acetic acid are less likely than others to abuse alcohol, because rapid or excessive drinking makes them ill.

STOP & CHECK 2. How does predisposition to alcohol abuse relate to how the

liver metabolizes alcohol?

ANSWER

environment have an enhanced probability of substance use or abuse, and that probability is magnified if they also have a particular gene that affects serotonin synapses (Windle et al., 2016). Several other genes also affect the probability of sub- stance use, but the effects vary from one environment to an- other (Guillot, Fanning, Liang, & Berman, 2015).

One gene with a well-confirmed influence on alcohol abuse controls the metabolism of alcohol. After anyone drinks ethyl alcohol, enzymes in the liver metabolize it to acetalde- hyde, a toxic substance. The enzyme acetaldehyde dehydroge- nase then converts acetaldehyde to acetic acid, a chemical that the body uses for energy:

Acetaldehyde dehydrogenase

Ethyl alcohol   Acetaldehyde Acetic acid

People with a gene for producing less acetaldehyde dehydro- genase metabolize acetaldehyde more slowly. If they drink much alcohol, they accumulate acetaldehyde, which produces flushing of the face, increased heart rate, nausea, headache, abdominal pain, impaired breathing, and tissue damage. Ac- etaldehyde is probably responsible for hangovers, although research on this topic is sparse. More than a third of the peo- ple in China and Japan have a gene that slows acetaldehyde metabolism. Probably for that reason, alcohol abuse has his- torically been uncommon in those countries (Luczak, Glatt, & Wall, 2006; Samochowiec, Samochowiec, Puls, Bienkowski, & Schott, 2014) (see Figure 14.1).

Environmental Influences Prenatal environment also contributes to the risk for alco- holism. A mother who drinks alcohol during pregnancy in- creases the probability that her child will develop alcoholism

Figure 14.1 Robin Kalat (the author’s daughter) finds an alco- hol vending machine on a sidewalk in Tokyo in 1998 Restrictions against buying alcohol were traditionally weak in a country where most people cannot quickly metabolize acetaldehyde and therefore drink alcohol only in moderation. However, in 2000, Japan banned alcohol vending machines in public places. (Source: James W. Kalat)

08202_ch14_ptg01.indd 461 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

462 CHAPTER 14 Psychological Disorders

toward alcoholism, researchers expect that many of the sons of alcoholics are future alcoholics themselves. The idea is that any behavior more common in the sons of alcoholics is prob- ably a predictor of future alcoholism (see Figure 14.2).

The most robust finding is that sons of alcoholics show less than average intoxication after drinking a moderate amount of alcohol. They report feeling less drunk and show less body sway (Schuckit & Smith, 1996). Presumably, some- one who starts feeling tipsy after a couple of drinks stops at that point. People who “hold their liquor well” continue drink- ing, perhaps enough to impair their judgment. Follow-up studies have found that men who report low intoxication after moderate drinking are more likely than others to abuse alco- hol throughout their lives (Schuckit & Smith, 1997; Schuckit & Smith, 2013). Similar results have been reported for women (Eng, Schuckit, & Smith, 2005). A preliminary study with a modest number of college freshmen reported promising re- sults based on simply explaining that if they “hold their liquor well,” it is not something to brag about, but something to worry about. Students who learned that they were at increased risk tended to decrease their drinking (Schuckit et al., 2016).

Synaptic Mechanisms Drugs affect synapses in different ways at different stages of someone’s experiences. The effects while the drug is in the brain differ from effects that occur during withdrawal, and ef- fects responsible for cravings. Efforts to alleviate drug abuse must consider a variety of mechanisms.

The Role of Dopamine Attention to the role of dopamine in reinforcement began with a pair of young psychologists who were trying to answer an unrelated question. James Olds and Peter Milner (1954) wanted to test whether stimulation of a certain brain area might influence which direction a rat turns. When they im- planted their electrode, they missed the intended target and instead hit an area called the septum. To their surprise, when the rat received the brain stimulation, it sat up, looked around, and sniffed, as if reacting to a favorable stimulus. Olds and Milner then gave rats the opportunity to press a lever to pro- duce electrical self-stimulation of the brain (see Figure 14.3). With electrodes in the septum and certain other places, rats sometimes pressed as often as 2000 times per hour (Olds, 1958). Later researchers found that rats would work to stimu- late many brain areas with axons that directly or indirectly in- crease the release of dopamine in the nucleus accumbens, as illustrated in Figure 14.4 (Wise, 1996).

The nucleus accumbens is important for many types of reinforcing experiences. Stimulant drugs such as cocaine and amphetamine increase or prolong the release of dopamine

Sons of alcoholic fathers

Several who will become alcoholics later

Test each man’s reactions to alcohol

Follow up years later to find which men actually became alcoholics

Young men with no alcoholic relatives

Few or none who will become alcoholics

Figure 14.2 Design for studies of predisposition to alcoholism Sons of alcoholic fathers are compared to other young men of the same age and same current drinking habits. Any behavior that is more common in the first group is presum- ably a predictor of later alcoholism.

3. Sons of alcoholics show less intoxication, including less body sway, after drinking a moderate amount of alcohol.

STOP & CHECK 3. How do sons of alcoholics differ behaviorally, on average,

from sons of nonalcoholics?

ANSWER

08202_ch14_ptg01.indd 462 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.1 Substance Abuse 463

the stimulant drugs, most other abused drugs do increase dopamine release directly or indirectly. For example, nico- tine stimulates neurons that release dopamine, and opiates inhibit neurons that inhibit dopamine release. However, growing evidence indicates that researchers have been over- emphasizing the role of dopamine (Nutt, Lingford-Hughes, Erritzoe, & Stokes, 2015): First, although alcohol, marijuana, nicotine, and opiates do generally increase dopamine release, they do not increase it by much, and the amount of dopamine release does not correlate strongly with the pleas- antness of the experience or the probability of addiction. Second, pharmaceutical companies have spent decades try- ing but failing to find drugs that would alleviate addictions via effects on dopamine. Drugs that block dopamine syn- apses do not reduce the reward properties of opiate drugs, and they do not decrease use. Although dopamine certainly contributes to reinforcement, it no longer appears to be as central as previously believed.

4. They increase the release of dopamine in the nucleus accumbens. 5. Many drugs other than the stimulants can be highly addictive despite only small effects on dopamine synapses. Also, drugs that modify dopamine release have little effect on the use of opiates.

STOP & CHECK 4. What do drug use, sex, gambling, and video game playing

have in common? 5. What evidence indicates that researchers have been overesti-

mating the role of dopamine in addiction?

ANSWERS

in the nucleus accumbens (Calipari & Ferris, 2013). Sexual excitement also releases dopamine there (Damsma, Pfaus, Wenkstern, Philips, & Fibiger, 1992; Lorrain, Riolo, Matusze- wich, & Hull, 1999). So do music (Salimpoor et al., 2013), the taste of sugar (Roitman, Wheeler, Wightman, & Carelli, 2008), and simply imagining something pleasant (Costa, Lang, Saba- tinelli, Versace, & Bradley, 2010). Gambling activates this area for habitual gamblers (Breiter, Aharon, Kahneman, Dale, & Shizgal, 2001), and video game playing activates it for habitual video game players (Ko et al., 2009; Koepp et al., 1998).

These results suggested that dopamine release might be essential for all addictions and all substance abuse. Besides

Figure 14.3 A rat pressing a lever for self-stimulation of its brain (Source: Science Source)

Nucleus accumbens

Axons from nucleus accumbens

Medial forebrain bundle (a path of axons that release dopamine) Figure 14.4 The nucleus accumbens

in the human brain Many abused drugs and other reinforcing activities increase dopamine release in the nucleus accumbens.

08202_ch14_ptg01.indd 463 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

464 CHAPTER 14 Psychological Disorders

Tolerance and Withdrawal As an addiction develops, many of its effects, especially the enjoyable effects, decrease. That decrease is called tolerance. Because of tolerance, heroin users raise their amount and frequency of use to greater and greater levels, eventually taking amounts that could kill other people. Drug tolerance, a complex phenomenon, is to a large extent learned. For example, rats that consistently receive drugs in a distinctive location show more tolerance in that location than elsewhere (Cepeda-Benito, Davis, Reynoso, & Harraid, 2005; Siegel, 1983). That is, cues associated with receiving the drug activate learned mechanisms that counteract the effects of the drug. Because tolerance is learned, it can be weakened through extinction procedures. After many injections of morphine, a rat develops tolerance to it. If the rat then receives repeated in- jections of salt water without morphine, it weakens its learned connection between injection and morphine. The result is decreased tolerance the next time it receives a morphine injection (Siegel, 1977).

As the body comes to expect the drug under certain cir- cumstances, it reacts strongly when the drug is absent. That reaction is called withdrawal. The withdrawal symptoms after someone quits heroin or other opiates include anxiety, sweat- ing, vomiting, and diarrhea. Symptoms of alcohol withdrawal include irritability, fatigue, shaking, sweating, and nausea. In severe cases, alcohol withdrawal progresses to hallucinations, convulsions, fever, and cardiovascular problems.

One hypothesis has been that addictive behavior is an attempt to avoid withdrawal symptoms. However, that can- not be the whole explanation. Ex-smokers sometimes report strong cravings months or years after quitting. Cocaine is addictive even though the withdrawal symptoms are mild. Gambling can be a powerful addiction, even though no substance is withdrawn.

A modified explanation is that someone with an addic- tion learns to use the substance (or gambling habit or what- ever) to cope with stress. In one study, researchers gave rats an opportunity to press a lever to inject themselves with heroin. Then they withdrew the opportunity for the drug. Midway through the withdrawal period, some of the rats had an op- portunity to self-administer heroin again, while others went through withdrawal without heroin. Later, when rats went through withdrawal a second time, all the rats had an oppor- tunity to press a lever to try to get heroin, but this time, the

Cravings Addictions are persistent habits, and some evidence indicates that people with addictions have trouble breaking any habit, not just a drug habit. One study compared cocaine users to nonusers. First, all participants learned responses that would gain money or prevent electric shocks. Then the amount of money available decreased and the electric shock device was disconnected. At that point, nonusers quickly decreased their level of responding, but the cocaine users continued at close to their previous level (Ersche et al., 2016). The relevance for addiction is that a learned craving can persist long after the behavior has ceased to be rewarding. Recall from Chapter 13 a similar pattern for people with prefrontal cortex damage: After they have learned a response or a preference, they are slow to update it in response to new information.

A defining feature of addiction is craving, an insistent search for the substance. Even after a long period of absti- nence, cues associated with the substance trigger a renewed craving. For example, seeing a lit cigarette triggers a craving in smokers (Hutchison, LaChance, Niaura, Bryan, & Smolen, 2002), a video of cocaine use triggers cravings in cocaine users (Volkow et al., 2006), and the sight of a video game triggers a craving in an excessive video game player (Thalemann, Wölfling, & Grüsser, 2007). The brain mechanism of craving differs from the response to the original activity.

Studies with laboratory rats show that exposure to ad- dictive substances such as nicotine, cocaine, or alcohol alters neuronal structure and gene expression in several brain areas, especially if the exposure begins early in life (Korpi et al., 2015). Most of the research has used cocaine. One of the first effects of repeated cocaine use is that the nucleus accumbens, important for reward, becomes less sensitive to all types of reward, including cocaine. Thus, everyday pleasures become less intense, but users can still achieve a pleasurable state by increasing the dose or frequency of cocaine use. Meanwhile, responses to cues associated with the drug (reminders) be- come sensitized, attracting greater attention. That increased attention is magnified by the fact that other, competing rewards are less intense than before (Epping-Jordan, Watkins, Koob, & Markou, 1998; Volkow, Koob, & McLellan, 2016; Wolf, 2016).

Then, during a period of abstinence, the nucleus accum- bens synapses responding to drug cues gradually become more and more sensitive, before later declining partly. These results match indications that craving increases during the early stage of abstinence, and slightly declines later (Parvaz, Moeller, & Goldstein, 2016; Scheyer et al., 2016). The increased response to drug cues has been traced to facilitated glutamate synapses in the nucleus accumbens, at least for cocaine and nicotine (Scofield et al., 2016; Wolf, 2016). The upshot of all this re- search is that a treatment that desensitizes glutamate synapses in the nucleus accumbens might reduce cravings for certain drugs. Although certain procedures have shown promise with laboratory rodents, so far nothing has been successfully applied to humans (Chesworth & Corbit, 2017).

6. Certain glutamate synapses in the nucleus accumbens become more responsive, causing increased excitation in response to cues associated with the substance. The result is craving, which increases for some time during abstinence.

STOP & CHECK 6. During a period of abstinence from cocaine, what happens in

the nucleus accumbens?

ANSWER

08202_ch14_ptg01.indd 464 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.1 Substance Abuse 465

Lahmek, Pham, & Aubin, 2014). In either case, taking the daily pill reaffirms a pledge to avoid alcohol. Someone who takes an Antabuse pill and then drinks alcohol anyway becomes ill, and in most cases quits taking Antabuse instead of quitting alcohol.

A related idea is to have people drink alcohol and then im- mediately take a drug that produces nausea, thereby forming a learned aversion to the taste of the alcohol. That procedure usually produces quick and effective avoidance of alcohol, although its use has never been popular (Revusky, 2009).

Other medications are naloxone (trade name Revia) and naltrexone, which block opiate receptors and thereby decrease the pleasure from alcohol. Acamprosate is about equal to naltrexone in effectiveness, although its mechanism of effect remains uncertain (Jonas et al., 2014).

Medications to Combat Opiate Abuse Heroin is an artificial substance invented in the 1800s as a sup- posedly safer alternative for people who were trying to quit morphine. Some physicians at the time recommended that people using alcohol switch to heroin (Siegel, 1987). They aban- doned this idea when they discovered how addictive heroin is.

Still, the idea has persisted that people who cannot quit opiates might switch to a less harmful drug. Methadone (METH-uh-don), similar to heroin and morphine, activates the same brain receptors and produces the same effects. How- ever, it has the advantage that it can be taken orally. (If heroin or morphine is taken orally, stomach acids break down most of it.) Methadone taken orally gradually enters the blood and then the brain, so its effects rise slowly, avoiding the “rush” experience that disrupts behavior. Because it is metabolized slowly and leaves the brain slowly, the withdrawal symptoms are also gradual. Furthermore, users avoid the risk of an injec- tion with a possibly infected needle.

Buprenorphine and levomethadyl acetate (LAAM), similar to methadone, are also used to treat opiate addiction. LAAM has the advantage of producing a long-lasting effect so that the person visits a clinic three times a week instead of daily. People using any of these drugs live longer and healthier, on average, than heroin or morphine users, and they are far more likely to hold a job (Vocci, Acri, & Elkashef, 2005). How- ever, these drugs do not end the addiction. They merely satisfy the craving in a less dangerous way.

lever was inoperative. Although both groups of rats pressed the lever, those that had self-administered heroin during the previous withdrawal state pressed far more frequently (Hutcheson, Everitt, Robbins, & Dickinson, 2001). Evidently, receiving an addictive drug during a withdrawal period is a powerful experience. In effect, users—rat or human—learn that the drug relieves the distress caused by drug withdrawal. That learning can generalize to other situations, so that users crave the drug during other kinds of distress.

Treatments Some people who abuse alcohol or other substances manage to decrease their use without help. Those who discover that they cannot solve the problem on their own often try Alcohol- ics Anonymous, Narcotics Anonymous, or similar organiza- tions, which are especially widespread in the United States. An alternative is to see a therapist, particularly a cognitive behavioral therapist. One version of therapy is contingency management, which includes rewards for remaining drug-free (Kaminer, 2000). Not many people turn to medications, but a few options are available.

Medications to Combat Alcohol Abuse As mentioned, the liver metabolizes alcohol into acetalde- hyde (a toxic substance) and then into acetic acid (harmless). The drug disulfiram, which goes by the trade name Antabuse, antagonizes the enzyme that metabolizes acetaldehyde. Consequently, anyone who takes Antabuse becomes nauseated after drinking alcohol. The effects of Antabuse were discovered by accident. The workers in one rubber-manufacturing plant found that when they got disulfiram on their skin, they devel- oped a rash (Schwartz & Tulipan, 1933). If they inhaled it, they couldn’t drink alcohol without getting sick. Soon therapists tried using disulfiram as a drug, hoping that those with alcohol- ism would associate alcohol with illness and stop drinking.

Most studies find that Antabuse is about equal to a placebo. Ordinarily, that result would indicate that a drug is ineffective, but Antabuse is a special case. When people take Antabuse, or a placebo that they think might be Antabuse, the threat of becoming ill strongly discourages any attempt to drink alcohol. As long as they do not try alcohol, of course, they do not know whether they were actually taking Antabuse. That is, Antabuse is about equal to placebo not because Antabuse is ineffective, but because thinking that a placebo might be Anta- buse makes the placebo effective (Fuller & Roth, 1979; Skinner,

7. Taking an addictive drug during the withdrawal period is likely to lead to a habit of using the drug to relieve other kinds of distress.

STOP & CHECK 7. Someone who is quitting an addictive substance for the first

time is strongly counseled not to try it again. Why?

ANSWER

8. Antabuse blocks the enzyme that converts acetalde- hyde to acetic acid. It therefore makes people sick if they drink alcohol. Its effectiveness depends on the fact that someone knows or believes that drinking alcohol will cause illness. 9. Because methadone is already occupy- ing the endorphin receptors, heroin cannot add much stimulation to them.

STOP & CHECK 8. How does Antabuse work? 9. Methadone users who try taking heroin experience little effect

from it. Why?

ANSWERS

08202_ch14_ptg01.indd 465 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

466 CHAPTER 14 Psychological Disorders

The Psychology and Biology of Substance Abuse Module 14.1 In Closing

Many people say that alcoholism or other drug addiction is a disease. Is it? The medical profession has no firm definition of disease. Dis-ease is literally lack of ease, so in a sense anything that causes difficulty in life is a disease. However, the term is generally taken to imply that a disorder has a physiological basis and that medical intervention is the proper treatment.

As you have seen in this module, addiction does have a physiological basis, in part. Many genes increase the risk of

addiction. Addiction alters the brain’s reaction to the drug, cues for the drug, and other events. However, none of the phys- iology provides a full explanation. Addiction also reflects a his- tory of experiences. Although medical treatments sometimes help, behavioral interventions are still the most common treat- ments. Addiction is a complex problem that requires attention to both the physiology and the social environment.

Summary 1. A drug that increases activity at a synapse is an agonist;

one that decreases activity is an antagonist. Drugs act in many ways, varying in their affinity (tendency to bind to a receptor) and efficacy (tendency to activate it). 460

2. Predispositions to alcohol or drug abuse arise from genet- ics, prenatal environment, and later environment. Early- onset alcoholism reflects a stronger genetic predisposition than does later-onset alcoholism. 460

3. People who drink alcohol with relatively little sign of intoxication are more likely than other people to develop alcohol abuse. 461

4. Reinforcing brain stimulation, reinforcing experiences, and stimulant drugs increase the activity of axons that release dopamine in the nucleus accumbens. 462

5. For abused drugs other than stimulants, the amount of dopamine release does not correlate well with plea- sure or addiction, and blocking dopamine synapses

has little effect on opiate use. Evidently dopamine is not as essential to addiction as researchers previously believed. 463

6. Repeated use of cocaine decreases the response of the nucleus accumbens to all pleasant experiences, but increases attention to cues reminding the individual of cocaine. 464

7. During abstinence from cocaine, glutamate synapses in the nucleus accumbens become more responsive to cocaine-related cues. That increased sensitivity increases cue-induced cravings for cocaine. 464

8. Repeated use of a drug leads to tolerance (decreased response) and withdrawal (unpleasant sensations during abstention). 464

9. Several drugs including Antabuse and methadone help some people decrease their use of alcohol or opiates. 465

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

affinity 460 agonist 460 Antabuse 465 antagonist 460

craving 464 efficacy 460 methadone 465 nucleus accumbens 462

self-stimulation of the brain 462 tolerance 464 withdrawal 464

The research on sensitization of the nucleus accumbens dealt with addictive drugs, mainly cocaine. Would you expect a gambling addiction to have similar effects? How could someone test this possibility?

Thought Question

08202_ch14_ptg01.indd 466 9/15/17 7:27 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.1 Substance Abuse 467

Module 14.1 End of Module Quiz

1. Which of the following types of drug would be a strong agonist? A. One with high affinity and high efficacy B. One with high affinity and low efficacy

C. One with low affinity and high efficacy D. One with low affinity and low efficacy

2. The gene with the best-documented effect on predisposition to alcohol abuse exerts its effect in what way? A. It alters the ratio of activity between the nucleus

accumbens and the prefrontal cortex. B. It alters how the liver metabolizes alcohol.

C. It alters the sensitivity of certain types of taste buds. D. It alters the rate of secretion of stomach acid.

3. What evidence demonstrates predisposition toward drug or alcohol abuse? A. Siblings of someone with drug addiction also show

abnormalities of brain and behavior. B. People with drug addiction remember having a posi-

tive experience in their first encounter with the drug.

C. Most young people can accurately predict whether they will eventually develop a drug addiction.

D. An fMRI study on newborns accurately predicted which ones would later develop drug addiction.

4. Genetic predisposition is most strongly evident for which type of alcohol abuser? A. People with early-onset alcohol abuse B. People with late-onset alcohol abuse

C. Women D. Immigrants to a country

5. Of the following, which type of person is more likely than average to abuse alcohol? A. Someone who shows little effect after moderate

drinking B. Someone who becomes intoxicated quickly after

moderate drinking

C. Someone who was reared with strict rules in childhood

D. Someone with an introverted personality

6. What is the relationship between drug abuse and dopamine? A. Probability of abusing a drug correlates strongly with

how much dopamine it releases. B. People seldom abuse the drugs that release

dopamine.

C. Blocking dopamine synapses prevents any pleasure from a drug.

D. Most abused drugs release dopamine, but not in pro- portion to addictive potential.

7. What is the effect on the nucleus accumbens after repeated cocaine use? A. The nucleus accumbens becomes less responsive to

rewarding experiences. B. The nucleus accumbens becomes more responsive

to rewarding experiences.

C. The nucleus accumbens responds to events that were not previously rewarding.

D. The nucleus accumbens begins growing new neurons.

8. What accounts for increased cravings during cocaine abstinence? A. Increased activity of certain enzymes in the liver. B. Increased responsiveness of dopamine synapses to

all types of reward.

C. Increased sensitivity of glutamate synapses to cues for cocaine.

D. Rapid fluctuations of heart beat.

9. What evidence indicates that tolerance is to a large extent learned? A. Tolerance is greater in the location where one previ-

ously took the drug than elsewhere. B. Tolerance is greater in highly educated people than

in poorly educated people.

C. Tolerance is easily forgotten with the passage of time. D. Telling people about the effects of a drug can produce

tolerance.

10. In tests of Antabuse effectiveness, why are placebos so effective? A. Antabuse has no physiological effects. B. The chemicals used as placebos interact with liver

enzymes.

C. Antabuse is effective mainly by the threat of illness after drinking.

D. Placebos tend to relieve pain.

11. What is the advantage of taking methadone instead of morphine or heroin? A. Methadone is not addictive. B. Someone can gradually taper off methadone and

become drug-free.

C. Methadone is readily available without a prescription. D. Methadone satisfies the craving without seriously

disrupting behavior.

Answers: 1A, 2B, 3A, 4A, 5A, 6D, 7A, 8C, 9A, 10C, 11D.

08202_ch14_ptg01.indd 467 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

468

Module 14.2

Is it depressing to read about depression? It might be, but we shall spend much of this module considering how to relieve depression. People with depression look sad and act sad (see Figure 14.5), but most do recover.

Major Depressive Disorder Everyone has times of feeling discouraged. Major depres- sion is much more intense and prolonged. People with a major depression feel sad and helpless most of the day every day for weeks at a time. They can hardly even imagine enjoy- ing anything. Their nucleus accumbens becomes less respon- sive to reward (Russo & Nestler, 2013). They feel worthless, contemplate suicide, and have trouble sleeping. They also have cognitive problems, including low motivation, attention prob- lems, impaired memory, and impaired sense of smell. The cog- nitive limitations often persist even after successful treatment of the mood problems (Gonda et al., 2015; Siopi et al., 2016).

Absence of happiness is a more reliable symptom than increased sadness. In one study, people carried a beeper that sounded at unpredictable times to signal them to describe their emotional reactions at the moment. People with de- pression reported only an average number of unpleasant ex- periences but far below the average number of pleasant ones (Peters, Nicolson, Berkhof, Delespaul, & deVries, 2003). In other studies, people examined photographs or films as re- searchers recorded their reactions. People with depression reacted normally to sad or frightening depictions but seldom smiled at the comedies or pleasant pictures (Rottenberg, Kasch, Gross, & Gotlib, 2002; Sloan, Strauss, & Wisner, 2001).

Surveys have reported that about 5 to 6 percent of adults in the United States and Canada have a clinically significant depression (i.e., serious enough to warrant attention) within a given year, and more than 10 percent do at some point in life (Narrow, Rae, Robins, & Regier, 2002; Patten et al., 2015). Depression is more common in women than in men during the reproductive era, but about equal be- fore puberty and after menopause (Mendle, Eisenlohr-Moul, & Kiesner, 2016). The reason for this trend is not known.

Although some people suffer from long-term depression, it is more common to have episodes of depression separated by periods of normal mood. Several studies reported that the

early episodes tend to be longer, whereas later episodes tend to be briefer but more frequent (e.g., Post, 1992). Although that idea seemed plausible, a later analysis showed that it reflected a statistical artifact: Suppose you measure the mean length of all first episodes. That will include anyone who ever became de- pressed, including some who had just one episode lasting many years. When you measure the mean length of all fifth episodes or all tenth episodes, you can study only people who had at least five or ten episodes. To have that many episodes, necessarily each of them had to be brief. So the comparison is invalid. If you compare the length of, say, first and fifth episodes but include

Mood Disorders

Figure 14.5 The face of depression Depression shows in people’s face, walk, voice, and mannerisms.

Br uc

e Ay

re s/

Th e

Im ag

e Ba

nk /G

et ty

Im ag

es

08202_ch14_ptg01.indd 468 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 469

did not lead to depression, but it magnified the reaction to stressful events (Caspi et al., 2003).

Although not all studies have replicated this result, an ex- tensive review of the literature confirmed that the short form of the serotonin transporter gene increases the risk of a depres- sive reaction to major stressors, especially the stress of early childhood maltreatment (Karg, Burmeister, Shedden, & Sen, 2011). However, we should not think of the gene as a “risk for depression” gene. The same gene increases smiles, laughter, or anger depending on the event (Gyurak et al., 2013; Haase et al., 2015). That is, the short form of the serotonin transporter gene increases emotional reactivity of almost any type, good or bad.

Considering the high prevalence of depression and the links to genetics, evolutionary psychologists have raised the possibil- ity that our ancestors evolved a tendency to become depressed under certain conditions. In particular, depression could be an adaptation to conserve energy after a defeat of some sort. It is possible that depression served a valid purpose for many of our ancestors after physical injuries, even if it is maladaptive today after more symbolic types of setback (Beck & Bredemeier, 2016).

only people who had at least five episodes, the mean length is about the same (Anderson, Monroe, Rohde, & Lewinsohn, 2016). The conclusion is simply that some people have shorter episodes, and possibly more of them, than other people do.

Genetics Studies of twins and adopted children indicate a moderate de- gree of heritability for depression (Shih, Belmonte, & Zandi, 2004). Genetic factors are certainly not the only cause of de- pression. Several studies have found increased activity of the immune system, which can arise from injury, highly stressful experiences, poor diet, or other causes (Hodes, Kana, Menard, Merad, & Russo, 2015; Kaplan, Rucklidge, Romijn, & McLeod, 2015; Wohleb, Franklin, Iwata, & Duman, 2016).

Although many studies have identified one or more genes as being associated with depression, the results vary from one study to another (Cohen-Woods, Craig, & McGuffin, 2013). A likely explanation is that different genetic variations occur in different populations. A study of Chinese women with re- current severe depression identified two genes with a strong effect. Those genes did not emerge in studies on Europeans, simply because those genes are rare in Europe (CONVERGE Consortium, 2015).

Another reason why it is hard to find a gene linked to depression is that when we talk about depression, we may be combining separate syndromes. People with early-onset de- pression (before age 30) have a high probability of having other relatives with depression (Bierut et al., 1999; Kendler, Gardner, & Prescott, 1999; Lyons et al., 1998), as well as relatives with anxiety disorders, neuroticism, attention deficit disorder, alcohol or marijuana abuse, obsessive-compulsive disorder, bulimia, migraine headaches, and irritable bowel syndrome (Fu et al., 2002; Gade, Kristoffersen, & Kessing, 2014; Hudson et al., 2003). Early-onset depression also tends to be more severe, more long-lasting, and more associated with suicidal tendencies (Park, Sohn, Seong, Suk, & Cho, 2015). People with late-onset depression (especially after age 45 to 50) have a high probability of relatives with circulatory problems (Kendler, Fiske, Gardner, & Gatz, 2009). Researchers have begun looking for genes that might be associated specifically with early-onset or late-onset depression (Power et al., 2012).

Another issue is that the effect of a gene varies with the environment. Much research concerns the gene that controls the serotonin transporter, a protein that regulates the ability of axons to reabsorb serotonin after its release. Investigators ex- amined the serotonin transporter genes of 847 young adults, identifying two types: the short type and the long type. Each participant reported major stressful events over five years, such as financial setbacks, loss of job, and divorce. Figure 14.6 shows the results. For people with two short forms of the gene, increasing numbers of stressful experiences led to a major in- crease in the probability of depression. For those with two long forms, stressful events only slightly increased the risk of depression. Those with one short and one long gene were in- termediate. In other words, the short form of the gene by itself

Number of stressful life events

s/s

s/l

l/l

1 2 3 4+0

Pr o

b ab

ili ty

o f

m aj

o r

d ep

re ss

io n

e p

is o

d e

.50

.40

.30

.20

.10

.00

Figure 14.6 Genetics, stress, and depression The effect of the serotonin transporter gene depended on the amount of stress. (Source: From “Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene,” by A. Caspi et al., Science, 301, 2003, pp. 386–389. Reprinted with permission. © 2003 AAAS.)

10. Relatives of people with early-onset depression have a high risk of depression and many other psychological disor- ders. Relatives of people with late-onset depression have a high probability of circulatory problems. 11. People with the short form of the gene controlling the serotonin trans- porter are more likely than other people to react to stressful experiences by becoming depressed. However, in the absence of stressful experiences, their probability is not increased.

STOP & CHECK 10. What evidence suggests two types of depression are influ-

enced by different genes? 11. What did Caspi and colleagues report to be the relationship

between depression and genetics?

ANSWERS

08202_ch14_ptg01.indd 469 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

470 CHAPTER 14 Psychological Disorders

after their release. Figure 14.7 shows how the serotonin trans- porter protein picks up a serotonin molecule outside the mem- brane and then flips into position to deliver the molecule to the inside of the neuron. A tricyclic drug locks the transporter into the initial position, as shown on the left of the figure (Penmatsa, Wang, & Gouaux, 2013; H. Wang et al., 2013). The result is to prolong the presence of the neurotransmit- ters in the synaptic cleft, where they continue stimulating the postsynaptic cell. Tricyclics also block histamine receptors, acetylcholine receptors, and certain sodium channels (Horst & Preskorn, 1998). Blocking histamine produces drowsi- ness. Blocking acetylcholine leads to dry mouth and difficulty urinating. Blocking sodium channels causes heart irregulari- ties, among other problems. People have to limit their use of tricyclic drugs to minimize these side effects.

The selective serotonin reuptake inhibitors (SSRIs) are similar to tricyclics but specific to the neurotransmitter sero- tonin. They attach to the center of the serotonin transporter protein and lock it into a shape that prevents serotonin from binding to it (Coleman, Green, & Gouaux, 2016). SSRIs produce milder side effects than the tricyclics, but their effectiveness is about the same. Common SSRIs include fluoxetine (trade name Prozac), sertraline (Zoloft), fluvoxamine (Luvox), citalopram (Celexa), and paroxetine (Paxil or Seroxat). As you might guess, serotonin norepinephrine reuptake inhibitors (SNRIs), such as duloxetine (Cymbalta) and venlafaxine (Effexor), block reuptake of both serotonin and norepinephrine. Unlike other antidepressants, the SNRIs improve certain aspects of mem- ory (Feltmann, Konradsson-Geuken, De Bundel, Lindskog, & Schilström, 2015). Many patients now take two or more drugs with different modes of action, although the effectiveness of this approach is uncertain (Millan, 2014).

The monoamine oxidase inhibitors (MAOIs) (e.g., phenelzine, trade name Nardil) block the enzyme monoamine oxidase (MAO), a presynaptic enzyme that metabolizes cat- echolamines and serotonin into inactive forms. When MAOIs block this enzyme, the presynaptic terminal has more of its transmitter available for release. The MAOIs were the earliest

Abnormalities of Hemispheric Dominance Studies of people without depression have found a fairly strong relationship between happy mood and increased activ- ity in the left prefrontal cortex (Jacobs & Snyder, 1996). Most studies have reported a relationship between depression and increased activity in the right prefrontal cortex, which is stable over years despite changes in symptoms of depression (David- son, 1984; Jesulola, Sharpley, Bitsika, Agnew, & Wilson, 2015; Pizzagalli et al., 2002; Vuga et al., 2006). It probably represents a predisposition to depression rather than a reaction to it.

Here’s something you can try: Ask someone to solve a verbal problem, such as, “See how many words you can think of that start with sa-,” or “see how many words you can think of that end with -us.” Unobtrusively watch the per- son’s eye movements. Most people gaze to the right during verbal tasks, suggesting left hemisphere dominance, but most individuals with depression gaze to the left (Lenhart & Katkin, 1986).

Antidepressant Drugs You might assume that investigators first determine the causes of a psychological disorder and then develop medications based on the causes. The opposite order has been more com- mon: First investigators found drugs that seemed helpful, and then they tried to figure out how they work. Iproniazid, the first antidepressant drug, was originally marketed to treat tu- berculosis, until physicians noticed that it relieved depression. Similarly, chlorpromazine was originally used for other pur- poses, until physicians noticed its ability to alleviate schizo- phrenia. For decades, researchers sought new drugs entirely by trial and error. Today, researchers evaluate new potential drugs in test tubes or tissue samples until they find one with a potential for strong or specific effects on neurotransmission. The result is the use of fewer laboratory animals.

Types of Antidepressants Antidepressant drugs fall into several categories, including tricyclics, selective serotonin reuptake inhibitors, mono- amine oxidase inhibitors, and atypical antidepressants. The tricyclics (e.g., imipramine, trade name Tofranil) operate by blocking the transporter proteins that reabsorb serotonin, dopamine, and norepinephrine into the presynaptic neuron

TRY IT YOURSELF

12. People with predominant right-hemisphere activity show an increased tendency toward depression.

STOP & CHECK 12. Some people offer to train you to use the right hemisphere

of your brain more strongly, allegedly to increase creativity. If they were successful, can you see any disadvantage?

ANSWER

Serotonin transporter

Serotonin

Figure 14.7 Reuptake of serotonin into the presynaptic neuron The serotonin transporter protein is open to the outside of the neuron on the left. After it picks up a serotonin molecule, it flips position to deliver the serotonin to the inside of the presynaptic neuron. Tricyclic and SSRI antidepressants lock the transporter protein into the position shown at the left, preventing reuptake.

08202_ch14_ptg01.indd 470 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 471

your point of view, is that it is available without prescription. People can get it easily but often take inappropriate amounts. Its effectiveness appears to be comparable to that of standard antidepressant drugs (Sarris, Panossian, Schweitzer, Stough, & Scholey, 2011), but it has a worrisome side effect: St. John’s wort increases the effectiveness of a liver enzyme that breaks down plant toxins, and also breaks down most medicines. Therefore, taking St. John’s wort decreases the effectiveness of other drugs you might be taking—including other antidepres- sant drugs, cancer drugs, and AIDS drugs (He, Yang, Li, Du, & Zhou, 2010; Moore et al., 2000).

antidepressants, but they are no longer the first choice for treatment. People taking MAOIs must avoid foods contain- ing tyramine—including cheese, raisins, and many others— because a combination of tyramine and MAOIs increases blood pressure. Figure 14.8 summarizes the mechanisms of tricyclics, SSRIs, and MAOIs.

The atypical antidepressants include everything other than the types just discussed (Horst & Preskorn, 1998). One example is bupropion (Wellbutrin), which inhibits reuptake of dopamine and to some extent norepineph- rine but not serotonin. Although antidepressants vary in which neurotransmitter(s) they target—serotonin, dopamine, norepinephrine, or some combination—all appear to be nearly equal in their effectiveness (Montgomery et al., 2007; Undurraga & Baldessarini, 2012).

Drug companies have not offered anything substantially new for depression in decades, but a couple of new possibili- ties are on the horizon. Ketamine, which antagonizes NMDA- type glutamate receptors but also increases formation of new synapses, produces rapid antidepressant effects in patients who don’t respond to other medications. However, it also often produces hallucinations and delusions, and its benefits are not long-lasting (Bunney & Bunney, 2012; Duman & Aghajanian, 2012). Ketamine itself would not be a suitable antidepressant, but preliminary results suggest that one of ketamine’s metabo- lites might be a potential candidate (Zanos et al., 2016).

Many people use St. John’s wort, an herb, as an anti- depressant. Because it is a nutritional supplement instead of a drug, the U.S. Food and Drug Administration does not regulate it, and its purity varies from one bottle to another. It has the advantage of being less expensive than antidepres- sant drugs. An advantage or disadvantage, depending on

MAO

Postsynaptic cell

Presynaptic terminal

Reuptake

MetaboliteTransmitter

Release

MAOIs block the enzyme MAO, prevent it from breaking transmitters into inactive metabolites

Tricyclic drugs and SSRIs block reuptake

Figure 14.8 Routes of action of antidepressants Tricyclics block the reuptake of dopamine, norepinephrine, and serotonin. SSRIs specifically block the reuptake of serotonin. SNRIs block reuptake of serotonin and norepinephrine. MAOIs block the enzyme MAO, which converts dopamine, norepinephrine, or serotonin into inactive chemicals.

13. Tricyclic drugs block reuptake of serotonin and catecholamines. They also block histamine receptors, acetylcholine receptors, and certain sodium channels, thereby producing unpleasant side effects. 14. SSRIs selectively inhibit the reuptake of serotonin. 15. MAOIs block the enzyme MAO, which breaks down catechol- amines and serotonin. The result is increased availability of these transmitters.

STOP & CHECK 13. What are the effects of tricyclic drugs? 14. What are the effects of SSRIs? 15. What are the effects of MAOIs?

ANSWERS

How Are Antidepressants Effective? When researchers discovered that all the common antidepres- sants increase the availability of serotonin and other neurotrans- mitters, they at first assumed that the cause of depression was a deficiency of serotonin or other neurotransmitters. Gradu- ally it became clear that this simple explanation cannot work. People with depression have approximately normal levels of neurotransmitters, and some studies have found increased serotonin release (Barton et al., 2008). Furthermore, it is pos- sible to decrease serotonin levels suddenly by a diet with all the amino acids except tryptophan, the precursor to serotonin. For most people, this decrease in serotonin does not provoke any feelings of depression (Neumeister et al., 2004, 2006).

A major theoretical difficulty comes from the time course: Antidepressants produce their effects on neurotransmitters in the synapses within minutes to hours, depending on the drug, but people generally need to take the drugs for at least 2 weeks before they experience significant mood elevation (Stewart et al., 1998). Clearly, the current level of neurotransmitters does not explain depression or the benefits of the drugs.

How else might we explain the effects of antidepressant drugs? One hypothesis concerns neurotrophins. As discussed in Chapter 4, neurotrophins aid in the survival, growth, and con- nections of neurons. Most people with depression have lower than average levels of a neurotrophin called brain-derived neu- rotrophic factor (BDNF) that is important for synaptic plasticity, learning, and proliferation of new neurons in the hippocampus (Martinowich, Manji, & Lu, 2007; Sen, Duman, & Sanacora, 2008). As a result of low BDNF, most people with depression

08202_ch14_ptg01.indd 471 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

472 CHAPTER 14 Psychological Disorders

How Effective Are Antidepressants? So far we have considered explanations of how antidepres- sants work. How sure are we that they do work? Not everyone is convinced (Kirsch, 2010), and we must at least say that the effectiveness is limited.

Most controlled studies find that antidepressants are at least moderately more effective than placebos, although the effect of placebos is strong and apparently increasing in recent years. Even when the advantage over placebos is statistically significant, it may be only slight in a clinical sense, and an- tidepressants have apparently little effect on the suicide rate (Bschor & Kilarski, 2016; Undurraga & Baldessarini, 2012). Figure 14.9 summarizes the results of many experiments in which people were randomly assigned to receive antidepres- sant drugs or placebos. The horizontal axis represents scores on the Hamilton Depression Rating Scale, where higher scores indicate more intense depression. The vertical axis represents amount of improvement. Triangles represent patients receiv- ing the drug in a study, and circles represent patients receiv- ing a placebo. The size of the triangle or circle is proportional to the number of patients in a group. Many people respond well on placebos, either because of spontaneous recovery over time or because of the expectation that comes from taking a pill. For patients with mild to moderate depression, the results for placebo groups overlap those for drug groups, and the dif- ferences between the groups appear too small to be meaning- ful. Only for people with severe depression did the drugs show a meaningful advantage (Kirsch et al., 2008).

For several reasons, it is possible that these data under- state the effectiveness of the drugs. Some studies have used doses too low to get a reliable effect (Hieronymus, Nilsson, & Eriksson, 2016). Also, the Hamilton Depression Rating Scale is less reliable at lower levels of depression (Isaacson & Adler,

have a smaller than average hippocampus, impaired learning, and reduced production of new hippocampal neurons. Many studies suggest that antidepressant drugs increase BDNF levels, over the course of weeks (consistent with the time course for an- tidepressants to take effect), although the results have not been entirely consistent (Drzyzga, Marcinowska, & Obuchowicz, 2009; Matrisciano et al., 2008; Maya Vetencourt et al., 2008).

The proliferation of new neurons in the hippocampus, associated with new learning, does appear to be important for antidepressant effects. Procedures that block neuron production also block the behavioral benefits of antidepressant drugs (Airan et al., 2007). The importance of new learning may explain why antidepressants don’t elevate the mood of people who are not depressed: Those people are not burdened with discouraging thoughts that they need to unlearn (Castrén & Rantamäki, 2010). However, the formation of new neurons is not the whole expla- nation for antidepressant drugs, as the drugs also exert essential effects on mature hippocampal neurons (Samuels et al., 2015).

16. Antidepressants produce their effects on sero- tonin and other neurotransmitters quickly, but their behavioral benefits develop gradually over 2 to 3 weeks. 17. Antidepressant drugs increase production of BDNF, which gradually promotes growth of new neurons in the hippocampus and new learning.

STOP & CHECK 16. In what way does the time course of antidepressants conflict

with the idea that they improve mood by increasing neu- rotransmitter levels?

17. As opposed to an interpretation in terms of neurotransmit- ter levels, what is an alternative explanation for the benefits of antidepressant drugs?

ANSWERS

0.0

0.5

1.0

1.5

2.0

322824

Initial severity

2016

Im p

ro ve

m en

t (d

)

Drug Clinically signi cant differencePlacebo

Figure 14.9 Mean improvement from depression by people taking antidepres- sants or placebos Pink triangles represent people taking medica- tions in a particular study. Gray circles represent people taking placebos. The size of the triangle or circle is proportional to the number of people in the study. (Source: From Kirsch et al., 2008.)

08202_ch14_ptg01.indd 472 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 473

Electroconvulsive Therapy (ECT) Another option, despite its stormy history, is treat- ment through an electrically induced seizure, known as electroconvulsive therapy (ECT). ECT originated with the observation that for people with both epilepsy and schizo- phrenia, when symptoms of one disorder increase, symptoms of the other often decrease (Trimble & Thompson, 1986). In the 1930s, Ladislas Meduna and other physicians tried to re- lieve schizophrenia by inducing convulsions with a large dose of insulin. Insulin shock is a dreadful experience, however, and difficult to control. An Italian physician, Ugo Cerletti, after years of experimentation with animals, developed a method of inducing seizures with an electric shock through the head (Cerletti & Bini, 1938). Electroconvulsive therapy is quick, and most patients awaken calmly without remembering it.

Psychiatrists had only this shaky theoretical basis for ex- pecting ECT to be helpful for schizophrenia. When it proved to be ineffective in most cases, you might guess that they would abandon it. Instead, they tried it for patients with other disorders, for whom they had no theoretical reason to expect it to work. Surprisingly, ECT did relieve depression in many cases. However, its misuse during the 1950s earned it a bad reputation, as some patients were given ECT hundreds of times without their consent and without any apparent benefit.

When antidepressant drugs became available in the late 1950s, the use of ECT declined abruptly. However, in the 1970s, psychiatrists brought back ECT for the patients who were not responding to the drugs. Today therapists use ECT mostly for patients with severe depression who have not responded to antidepressant drugs, and it is effec- tive in most cases (Reisner, 2003). In most cases it is given

2012). That is, it measures improvement for patients with se- vere depression more accurately than for patients with mild or moderate depression. Therefore, we should not necessarily conclude that the drugs are useful only in severe depression (Fountoulakis, Veroniki, Siamouli, & Moller, 2013). Never- theless, the point remains that antidepressant drugs are only moderately helpful for most patients with depression, and in many cases not helpful at all.

When people take antidepressants, many fail to show any benefit from the first drug they try. After 6 weeks or so, the physician prescribes a different drug, and then if neces- sary another one, and so forth. It is not possible to predict which drug will work best for a given patient, so it is strictly a trial-and-error process. Switching to a different type of drug (SSRI versus tricyclic, for example) is no more likely to be helpful than switching to a drug of the same type. Most patients eventually show a favorable response to one of the drugs (Keers & Uher, 2012). However, at that point, how can we be sure the new drug was responsible for the improved mood? Depression occurs in episodes. That is, even without treatment, most people recover within a few months. When someone goes through a series of drugs before one of them finally seems to work, we don’t know whether the patient would have recovered just as fast on the first drug, or with- out any drug at all. Unfortunately, many research studies have failed to include adequate control groups.

Alternatives to Antidepressant Drugs Cognitive behavioral therapy and other forms of psycho- therapy are often helpful. Reviews of the research literature find that antidepressant drugs and psychotherapy are about equally effective for treating all levels of depression, from mild to severe (Bortolotti, Menchetti, Bellini, Montaguti, & Berardi, 2008). Of course, considering that much of the response to an- tidepressant drugs is a placebo effect, the same must be true for psychotherapy. The effects of antidepressants and those of psychotherapy overlap more than we might have guessed. Brain scans show that antidepressants and psychotherapy in- crease metabolism in the same brain areas (Brody et al., 2001; S. D. Martin et al., 2001). That similarity should not be terribly surprising if we accept mind–body monism. If mental activity is the same thing as brain activity, then changing someone’s thoughts should indeed change brain chemistry.

Psychotherapy has an advantage because its effects are more likely to last. That is, a relapse into depression is more likely after antidepressant drug treatment than after psycho- therapy (Steinert, Hofmann, Kruse, & Leichsenring, 2014).

Would a combination of antidepressant drugs and psycho- therapy work better than either one alone? On average, people receiving both treatments show more rapid improvement than people receiving either one alone, but the percentage of people showing improvement increases only slightly (de Maat et al., 2008; Hollon et al., 2014). If some people responded bet- ter to drugs and others to psychotherapy, we should expect the combination to help a much higher percentage of people, be- cause everyone would be getting whichever one worked best.

18. For more severe cases, the percentage of patients who improve remains about the same for patients taking antidepressant drugs, but fewer patients taking placebos show improvement. 19. People who respond well to psy- chotherapy have a lower risk of later relapse than people who respond to antidepressant drugs. Also, antidepres- sant drugs produce unpleasant side effects.

STOP & CHECK 18. As depression becomes more severe, what happens to the

percentage of patients showing improvement while taking antidepressant drugs or placebos?

19. What is an advantage of psychotherapy over antidepressant drugs?

ANSWERS

Evidently, not many people respond to one treatment and not the other. Some people recover over time with no treatment or a placebo, another group improves equally well with either antidepressants or psychotherapy, a few respond better to one than to the other, and the remainder—one-third to one-half of all patients, by most estimates—do not respond well to either one (Friedman et al., 2009; Hollon, Thase, & Markowitz, 2002; Thase et al., 1997).

08202_ch14_ptg01.indd 473 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

474 CHAPTER 14 Psychological Disorders

Exercise and Diet The simplest, least expensive antidepressant treatment is a program of regular, moderate-intensity exercise (Leppämäki, Partonen, & Lönnqvist, 2002). Controlled experiments have confirmed modest antidepressant benefits, especially for people over age 60 (Bridle, Spanjers, Patel, Atherton, & Lamb, 2012). Even something so simple as walking improves positive mood (Miller & Krizan, 2016). Exercise is best used as a supplement to other treatments rather than as a therapy by itself.

Several types of diet supplements are also worth con- sidering. Research has suggested some value to omega-3 fatty acids, which are important for neuron membranes, and vitamins B6, B9, and B12. However, the research has not been extensive or entirely conclusive (McGorry, Nelson, & Markulev, 2017; Rechenberg, 2016).

Altered Sleep Patterns Almost everyone with depression has sleep problems, and the sleep problems generally precede the mood changes. Many studies have reported that people who have trouble sleeping are at high risk for later depression (Li, Wu, Gan, Qu, & Lu, 2016). The usual sleep pattern for someone with depression resembles the sleep of healthy people who have traveled a cou- ple of time zones west: They fall asleep when the clock says to do so, but they enter REM sleep sooner than normal, and they awaken early, as Figure 14.11 illustrates.

If you stay awake all night, how do you feel the next morn- ing? Most people feel groggy and grouchy. Surprisingly, most people with depression feel substantially improved (Benedetti & Colombo, 2011). (Presumably someone discovered this therapy by accident. It’s hard to imagine any logical reason to have tried it.) However, although the benefit from sleep de- privation is rapid, it is also brief, as depression usually returns after the next night’s sleep.

Another approach is to alter the sleep schedule, going to bed hours earlier than usual. That is, if your circadian rhythm is shifted, so why not sleep earlier, in phase with your rhythm? The person then gets a normal amount of sleep with normal timing of REM sleep. This procedure usually relieves depres- sion quickly and its benefits last for a week or more (Riemann et al., 1999). Eventually, however, the circadian rhythm shifts again, as if the person had traveled a couple additional time zones west without adjusting. So far, phase-advancing the sleep schedule has not become a popular therapy, perhaps in part because people have social reasons for wanting to stay awake after early evening.

Still, the effectiveness of either sleep deprivation or a change in sleep schedule implies that depression is related to having a circadian rhythm out of phase with the envi- ronment. Supporting evidence comes from the phenom- enon of seasonal affective disorder (SAD)—depression that recurs during a particular season, such as winter. SAD is most prevalent near the poles, where the winter nights are long (Haggarty et al., 2002). In contrast to most other

only with the patient’s informed consent, although some- times a court order requires it, such as for a patient at high risk for suicide. Ordinarily it is applied every other day for about 2 weeks. Patients are given muscle relaxants or anes- thetics to minimize discomfort and the possibility of injury (see Figure 14.10).

The most common side effect of ECT is memory impair- ment, but limiting the shock to the right hemisphere reduces the memory loss. In any case, the memory impairment usu- ally lasts only a few months, not forever (Reisner, 2003). The main drawback to ECT is the high risk of relapse. Compared to psychotherapy or antidepressant drugs, ECT generally acts faster, but its benefits are less likely to persist. To pre- vent relapse, a patient periodically returns for additional ECT treatments for at least several months, or follows ECT with other treatments.

More than half a century after the introduction of ECT, no one is yet sure how it relieves depression, but like anti- depressant drugs, ECT increases the proliferation of new neurons in the hippocampus (Perera et al., 2007). Most stud- ies find that it increases BDNF levels, which antidepressant drugs also increase, but this increase may or may not be re- lated to the therapeutic benefits (Freire, Fleck, & da Rocha, 2016; Rocha et al., 2016).

Figure 14.10 Electroconvulsive therapy (ECT) In contrast to an earlier era, ECT today is administered with muscle relaxants or anesthetics to minimize discomfort. (Source: Will & Deni McIntyre / Science Source)

08202_ch14_ptg01.indd 474 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 475

patients with depression, who have phase-advanced cir- cadian rhythms, people with seasonal affective disorder have phase-delayed rhythms (Teicher et al., 1997) (see Figure  14.12). Many people with SAD have a mutation in one of the genes responsible for regulating the circadian rhythm (Johansson et al., 2003).

It is possible to treat SAD with very bright lights—2500 lux for a couple of hours each morning, or even brighter lights for a shorter time (Dallaspezia, Suzuki, & Benedetti, 2015; Pail et al., 2011). Presumably this treatment works by resetting the circadian rhythm, although the research is not conclusive on that point. Regardless of the mecha- nisms, the benefits are substantial. Researchers have now tested bright-light therapy for nonseasonal depression, with results at least as good as those for antidepressant drugs, with quicker benefits (usually within one week), lower cost, and much less risk of side effects (Al-Karawi & Jubair, 2016; Dallaspezia et al., 2015).

11 A.M. 3 P.M. 7 P.M. 11 P.M. 3 A.M. 7 A.M.

B o

d y

te m

p er

at ur

e 37.5°

37°C

36.5°

Normal person

Depressed person

Normal people going to sleep at normal time

Depressed people going to sleep at normal time

Normal people going to sleep late

OR

REM sleep

Stage 4

Stage 1

REM sleep

Stage 4

Stage 1

Figure 14.11 Circadian rhythms and depression Most people with depression have their circadian rhythms advanced by several hours. They sleep as if they had gone to bed later than they actually did. (Source: Bottom graphs from Sleep, by J. Allan Hobson, ©1989, 1995 by J. Allan Hobson. Reprinted by permission of Henry Holt and Company, LLC.)

37.5°

37°C

36.5°

B o

d y

te m

p er

at ur

e

11 A.M. 3 P.M. 7 P.M. 11 P.M. 3 A.M. 7 A.M.

People with seasonal affective disorder

Normal

Most depressed people

Figure 14.12 Circadian rhythms for major depression and seasonal affective disorder (SAD) Patients with SAD are phase-delayed, whereas most other patients with depression are phase-advanced.

20. ECT helps many people who do not respond to antidepressant drugs or psychotherapy, and its benefits usually develop relatively quickly. However, the probability of a quick relapse is high. 21. Going to bed earlier some- times relieves depression. 22. It is cheaper, has little risk of side effects, and produces its benefits more quickly.

STOP & CHECK 20. What are the advantages and disadvantages of ECT? 21. What change in sleep habits sometimes relieves depression? 22. What are the advantages of bright-light treatment compared

to antidepressant drugs?

ANSWERS

Deep Brain Stimulation Suppose you are getting desperate. You tried psychotherapy, you tried one antidepressant drug after another, you tried ECT, you exercised, and you changed your sleep schedule.

08202_ch14_ptg01.indd 475 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

476 CHAPTER 14 Psychological Disorders

patients are hyperexcitable. Lithium relieves bipolar disorder only if it alleviates the hyperexcitability (Mertens et al., 2015).

Other drugs are the anticonvulsants valproate (trade names Depakene, Depakote, and others) and carbamazepine. If these drugs are not fully effective, physicians sometimes supplement them with antidepressant drugs or antipsychotic drugs—the ones also prescribed for schizophrenia. Antide- pressant drugs are risky, as they sometimes provoke a switch from depression to mania. Antipsychotic drugs can be helpful, but they also produce unpleasant side effects.

Supplementary strategies include diet and sleep. As with major depression, omega-3 fatty acids, such as those in sea- food, reduce the risk of bipolar disorder (Noaghiul & Hibbeln, 2003). Patients with bipolar disorder frequently have poor sleep quality during manic phases, depressed phases, and even when mood is normal (Altena et al., 2016). Getting con- sistent, adequate sleep helps stabilize mood and decrease the risk of a new episode (Harvey, Talbot, & Gershon, 2009).

Nothing worked, and you are still miserably depressed. Do you have any other hope?

Another option is certainly not the first thing you would try: With deep brain stimulation, a physician implants a bat- tery-powered device into the brain to deliver periodic stimula- tion to certain brain areas. Those areas are chosen because of studies showing that they increase their activity as a result of antidepressant drugs. Deep brain stimulation for depression is still in the experimental stage, but results have been encour- aging. Most patients who failed to respond to all other treat- ments show gradual improvement over months, and about half get fully back to normal, as long as the stimulation continues (Riva-Posse, Holtzheimer, Garlow, & Mayberg, 2013). A pos- sible refinement of this procedure is to use optogenetic stimu- lation, as described in Chapter 3. Optogenetic stimulation can control individual connections, rather than all the axons going from one area to another (Deisseroth, 2014).

Bipolar Disorder Depression can be either unipolar or bipolar. People with unipo- lar depression vary between normality and depression. People with bipolar disorder, formerly known as manic-depressive disorder, alternate between two poles—depression and its op- posite, mania. Mania is characterized by restless activity, excite- ment, laughter, excessive self-confidence, rambling speech, and loss of inhibitions. Some people with bipolar disorder have full- fledged manic episodes (known as bipolar I disorder), and some have mild or hypomanic episodes (bipolar II disorder). Bipolar disorder usually has its onset in the teenage years or early 20s. Although it is about equally common for men and women, men are more likely to have severe (bipolar I) cases, but women are more likely to get treatment (Merikangas & Pato, 2009).

Figure 14.13 shows the brain’s increase in glucose use during mania and its decrease during depression (Baxter et al., 1985). Bipolar disorder has been linked to many genes, but apparently none of them are specific to bipolar disorder. The same genes also increase the risk of unipolar depression, schizophrenia, and other disorders (S.-H. Chang et al., 2013).

Treatments The first successful treatment for bipolar disorder, and still the most common one, is lithium salts. Lithium’s benefits were discovered accidentally by an Australian investigator, J. F. Cade, who believed uric acid might relieve mania and depression. Cade mixed uric acid (a component of urine) with a lithium salt to help it dissolve and then gave the solution to patients. It was indeed helpful, but investigators soon discov- ered that lithium was the effective agent, not uric acid.

Lithium stabilizes mood, preventing a relapse into ei- ther mania or depression. The dose must be regulated care- fully, as a low dose is ineffective and a high dose is toxic. The mechanism of effect evidently has something to do with cells in the hippocampus. The hippocampus forms new neu- rons throughout life, and some of those that form in bipolar

Figure 14.13 PET scans for a patient with bipolar disorder Horizontal planes through three levels of the brain are shown for each day. On May 17 and May 27, when the patient was depressed, brain metabolic rates were low. On May 18, when the patient was in a cheerful, hypomanic mood, the brain metabolic rate was high. Red indicates the highest metabolic rate, followed by yellow, green, and blue. (Source: “Cerebral metabolic rates for glucose in mood disorders,” by L. R. Baxter, M. E. Phelps, J. C. Mazziotta, J. M. Schwartz, R. H. Gerner, C. E. Selin, et al., 1985, Archives of General Psychiatry, 42, 441–447.)

23. The common pharmaceutical treatments for bipolar disorder are lithium salts and certain anticonvulsant drugs— valproate and carbamazepine. A diet that includes omega-3 fatty acids also helps, as does a consistent sleep schedule.

STOP & CHECK 23. What are common treatments for bipolar disorder?

ANSWER

08202_ch14_ptg01.indd 476 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 477

The Biology of Mood Swings Module 14.2 In Closing

There is nothing abnormal about feeling sad if something unusually bad has just happened to you. For people with major depression or bipolar disorder, mood becomes largely independent of events. A bout of depression might persist for months or years, while even the best of news provides little

cheer. A bipolar patient in a manic state has boundless energy and self-confidence that no contradiction can deter. Studying these states has great potential to inform us about the brain states that correspond to moods.

Summary 1. People with major depression find that almost nothing

makes them happy. In most cases, depression occurs as a series of episodes. 468

2. Depression has a genetic predisposition, but no one gene has a strong effect by itself. Stress can provoke depres- sion by activating the immune system. 469

3. Depression is associated with decreased activity in the left hemisphere of the cortex. 470

4. Several kinds of antidepressant drugs are in wide use. Tricyclics block reuptake of serotonin and catechol- amines. SSRIs block reuptake of serotonin. SNRIs block reuptake of both serotonin and norepinephrine. MAOIs block an enzyme that breaks down catecholamines and serotonin. 470

5. Antidepressants probably do not produce their benefits simply by increasing synaptic levels of serotonin or any other transmitter. Ordinarily they affect synapses quickly but the mood benefits develop over weeks. 471

6. One hypothesis is that antidepressants exert their effects by promoting development of new neurons in the

hippocampus. New neurons facilitate new learning that competes with old, unpleasant thoughts. 471

7. Most people do not respond quickly to antidepressant drugs, and part of the apparent benefit may be due to a placebo effect or the passage of time. 472

8. Psychotherapy is about as effective as antidepressants. Psychotherapy is more likely than antidepressant drugs to produce long-lasting benefits. 473

9. Other therapies for depression include exercise, elec- troconvulsive therapy, altered sleep patterns, and deep brain stimulation. 473

10. Exposure to bright lights is an effective, inexpensive treatment not only for seasonal affective disorder, but also for other major depression. 475

11. People with bipolar disorder alternate between depres- sion and mania. Effective therapies include lithium salts and certain anticonvulsant drugs. A consistent sleep schedule is also recommended. 476

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

atypical antidepressants 471 bipolar disorder 476 deep brain stimulation 476 electroconvulsive therapy

(ECT) 473 lithium 476

major depression 468 mania 476 monoamine oxidase inhibitors

(MAOIs) 470 seasonal affective disorder

(SAD) 474

selective serotonin reuptake inhibitors (SSRIs) 470

serotonin norepinephrine reuptake inhibitors (SNRIs) 470

tricyclics 470

1. Some people have suggested that ECT relieves depression by causing people to forget the events that caused it. What evidence opposes this hypothesis?

2. Suppose a person with depression rides a cruise ship that travels slowly around the world, one time zone east every day or two. What effect, if any, would you expect on the depression, and why?

Thought Questions

08202_ch14_ptg01.indd 477 9/15/17 7:28 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

478 CHAPTER 14 Psychological Disorders

Module 14.2 End of Module Quiz

1. On average, how long does a first episode of depression last? A. Two months B. Longer than later episodes

C. Shorter than later episodes D. About the same as later episodes

2. What is one reason why it may be hard to locate genes contributing to depression? A. The genes for depression in men differ from those in

women. B. The genes for depression in one population may be

rare in another.

C. The genes for depression in adolescents differ from those in adults.

D. The genes for depression in today’s population differ from those in the past.

3. Relatives of people with late-onset depression have an increased probability of what type of disorder? A. Anxiety disorders B. Circulatory problems

C. Alcohol abuse D. Migraine headaches

4. The short gene for the serotonin transporter relates to depression only in which people? A. People who have experienced severe stress B. People with dietary allergies

C. People who have followed an irregular sleep schedule D. People who do not respond well to antidepressant

drugs

5. How do SSRIs differ from tricyclic antidepressants? A. SSRIs act on just one type of synapse instead of

several. B. SSRIs act on the hippocampus instead of the cere-

bral cortex.

C. SSRIs enter the brain more rapidly and remain there longer.

D. SSRIs are chemically similar to the brain’s own neurotransmitters.

6. What is the disadvantage of using St. John’s wort as an antidepressant? A. St. John’s wort is more expensive than standard

antidepressant drugs. B. St. John’s wort is less effective and produces benefits

more slowly.

C. St. John’s wort decreases the effectiveness of other drugs.

D. St. John’s wort is difficult to obtain legally.

7. If someone starts taking antidepressant drugs, when do behavioral benefits emerge? A. As soon as the drug reaches the brain B. As soon as the drug attaches to receptors on the

synapses

C. About one day after taking the first dose D. Two weeks or more after taking the first dose

8. Which of the following is important for relieving depression? A. Increasing the activity of the right hemisphere B. Forming new neurons in the hippocampus

C. Blocking the production of BDNF D. Increasing the synthesis of GABA

9. If several patients who did not respond to drug A later improve after switching to drug B, what conclusion, if any, follows? A. Drug B is more effective than drug A. B. Some people respond to drug B but not to drug A.

C. Any switch in drugs increases patients’ motivation and therefore helps them recover.

D. None of these conclusions follows.

10. Antidepressant effects resemble those of placebos except for which type of patient? A. Those with more severe depression B. Those with relatively mild depression

C. Those with onset of depression late in life D. Those who are also receiving psychotherapy

11. Which treatment acts most rapidly, and which usually has the most lasting benefits? A. Antidepressants act most rapidly, and psychotherapy

has the most lasting benefits. B. ECT acts most rapidly, and psychotherapy has the

most lasting benefits.

C. Psychotherapy acts most rapidly, and antidepressants have the most lasting benefits.

D. ECT acts most rapidly, and antidepressants have the most lasting benefits.

08202_ch14_ptg01.indd 478 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.2 Mood Disorders 479

12. Which of these often yields inexpensive relief from depression? A. Going to sleep hours later than usual B. Exposure to very bright lights in the morning

C. Eating a fat-free diet D. Soothing music throughout the night

13. Which of these is a common treatment for bipolar disorder? A. Lithium salts B. Uric acid

C. Vitamin C D. Avoidance of gluten

Answers: 1D, 2B, 3B, 4A, 5A, 6C, 7D, 8B, 9D, 10A, 11B, 12B, 13A.

08202_ch14_ptg01.indd 479 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

480

Here is a conversation between two people diagnosed with schizophrenia: A:   Do you work at the air base?

B:   You know what I think of work. I’m 33 in June, do you mind?

A:   June?

B:   33 years old in June. This stuff goes out the win- dow after I live this, uh—leave this hospital. So I can’t get my vocal cords back. So I lay off ciga- rettes. I’m in a spatial condition, from outer space myself. . . .

A:   I’m a real spaceship from across.

B:   A lot of people talk that way, like crazy, but “Believe It or Not,” by Ripley, take it or leave it—alone—it’s in the Examiner, it’s in the comic section, “Believe It or Not,” by Ripley, Robert E. Ripley. Believe it or not, but we don’t have to believe anything, unless I feel like it. Every little rosette—too much alone.

A:   Yeah, it could be possible.

B:   I’m a civilian seaman.

A:   Could be possible. I take my bath in the ocean.

B:   Bathing stinks. You know why? ’Cause you can’t quit when you feel like it. You’re in the service. (Haley, 1959, p. 321)

People with schizophrenia say and do things that other peo- ple (including other people with schizophrenia) find difficult to understand. Both biological and environmental factors contribute.

Diagnosis Schizophrenia was originally called dementia praecox, Latin for “premature mental deterioration.” In 1911, Eugen Bleuler introduced the term schizophrenia. Although the term is Greek for “split mind,” it is not related to dissociative identity disor- der (previously known as multiple personality disorder), in

which someone alternates among personalities. What Bleuler meant by schizophrenia was a split between the emotional and intellectual aspects of experience: The person’s emotional expression seems unconnected with current experiences. For example, someone might giggle or cry for no apparent reason, or fail to react to good or bad news. This detachment of emo- tion from intellect is no longer considered a central feature of schizophrenia, but the term lives on.

According to the DSM-5 (American Psychiatric Asso- ciation, 2013), to be diagnosed with schizophrenia, someone must have deteriorated in everyday functioning (work, inter- personal relations, self care, etc.) for at least 6 months for rea- sons not attributable to other disorders. The person must also have at least two symptoms from the following list, including at least one from the first three:

●● Delusions (unjustifiable beliefs, such as “Beings from outer space are controlling my actions”)

●● Hallucinations (false sensory experiences, such as hear- ing voices when alone)

●● Disorganized speech (rambling or incoherent) ●● Grossly disorganized behavior ●● Weak emotional expression, speech, and socialization

Diagnosis is sometimes a difficult judgment. An apparent de- lusion (“People are persecuting me”) might be actually true, or at least a defensible belief. Many healthy people have oc- casionally heard a voice when they knew they were alone, most often when they were just waking up. The term “grossly disorganized behavior” encompasses a wide variety of possi- bilities. You could easily find several people diagnosed with schizophrenia who have almost nothing in common. As we shall see later in this module, the genetics vary among people diagnosed with schizophrenia, and so do the brain abnormali- ties. We are probably dealing with a family of related condi- tions, rather than a single disorder.

The first four items on the list—delusions, hallucinations, disorganized speech, and disorganized behavior—are called positive symptoms, meaning behaviors that are present that should be absent. Weak emotional expression, speech, and so- cialization are negative symptoms—behaviors that are absent that should be present. In most cases, negative symptoms are stable over time and difficult to treat.

Schizophrenia

Module 14.3

08202_ch14_ptg01.indd 480 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 481

is, one that rules out other conditions. Here are a few condi- tions that sometimes resemble schizophrenia:

●● Substance abuse: Abuse of amphetamine, methamphet- amine, cocaine, LSD, or phencyclidine (“angel dust”) can produce hallucinations or delusions. Substance abuse is more likely than schizophrenia to produce visual hallucinations.

●● Brain damage: Damage or tumors in the temporal or prefrontal cortex can produce some of the symptoms of schizophrenia.

●● Undetected hearing deficits: Sometimes, someone who is starting to have trouble hearing thinks that everyone else is whispering and starts to worry, “They’re whispering about me!” Delusions of persecution can develop.

●● Huntington’s disease: The symptoms of Huntington’s disease include hallucinations, delusions, and disordered thinking, as well as motor symptoms. An uncommon type of schizophrenia, catatonic schizophrenia, includes motor abnormalities. Therefore, a mixture of psychological and motor symptoms could represent either schizophrenia or Huntington’s disease.

●● Nutritional problems: Niacin deficiency can produce hallucinations and delusions (Hoffer, 1973), and so can a deficiency of vitamin C or an allergy to milk proteins (not the same as lactose intolerance). Some people who cannot tolerate wheat gluten or other proteins react with halluci- nations and delusions (Reichelt, Seim, & Reichelt, 1996).

Demographic Data According to one estimate, about half of one percent of people suf- fer from schizophrenia at some point in life (Brown, 2011). Some authorities cite higher or lower numbers, depending on how nar- rowly they define schizophrenia and how many mild cases they include. Because schizophrenia often produces long-term debili- tation beginning in young adulthood, it is a major health problem in terms of the loss of productive, pleasant years of life.

Schizophrenia occurs in all ethnic groups and all parts of the world. However, it is more common in cities than in ru- ral areas, especially for people who have lived in large cities since early childhood (Tost, Champagne, & Meyer-Lindenberg, 2015). Likely explanations include unstable social relationships, poverty, air pollution, exposure to toxic substances, and less exposure to the sun, resulting in less absorption of vitamin D.

Lifetime prevalence of schizophrenia is more common for men than women by a ratio of about 7:5. On average, it is also more severe in men and has an earlier onset—usually in the teens or early 20s for men, as compared to the mid- to late 20s for women (Aleman, Kahn, & Selten, 2003).

Researchers have documented several unexplained oddi- ties about schizophrenia. The points that follow do not fit neatly into any currently prominent theory, illustrating how many mysteries remain:

●● People with schizophrenia have a higher than average probability of autoimmune diseases such as Guillain- Barré syndrome or pernicious anemia (Benros et al., 2014).

It is also important to recognize cognitive symptoms. The cognitive symptoms are impairments of thought and reason- ing that are common in people with schizophrenia, even in people of normal or above-normal intelligence (Woodward, 2016). People with schizophrenia typically have difficulty understanding and using abstract concepts. That is, they interpret sayings too literally. They also have trouble main- taining and focusing attention (Lakatos, Schroeder, Leitman, & Javitt, 2013). Memory impairments are also common, re- lated to reduced connectivity between sensory areas of the cortex and the hippocampus (Haut et al., 2015).

One hypothesis is that impairments of attention and working memory are the central problem. One way to test this idea is to see whether we could make normal, healthy people talk or behave in incoherent ways if we overtaxed their working memory. Imagine yourself in the following study. A researcher shows a series of pictures for 30 seconds each, and you are supposed to tell a short story about each one. If you see a picture again, you should tell a new story about it, un- like your first one. You have an additional task to burden your working memory: While you are telling stories, letters appear on the screen, one at a time. You should pay attention to every second letter. Whenever it is the same as the last letter that you attended to, you should press a key. For example,

D L K F R F B L M T J T X H Q U B R B N

Attend to every second letter.

Press on these, because same as previous attended letter.

Do not press here. Same as previous

nonattended letter.

Most people’s speech becomes less clear when they perform this memory task while trying to tell a story. If it is the second presentation of a picture, requiring them to avoid what they said the first time and tell a totally new story, the memory task causes even greater interference, and their speech becomes incoherent, much like schizophrenic speech (Kerns, 2007). The implication is that a limitation of working memory could explain several aspects of schizophrenia.

24. Hallucinations are considered a positive symptom because they are present when they should be absent. A “positive” symptom is not a “good” symptom.

STOP & CHECK 24. Why are hallucinations considered a positive symptom?

ANSWER

Differential Diagnosis of Schizophrenia In the description for diagnosing schizophrenia, did you notice the expression “not attributable to other disorders”? Even if someone’s symptoms clearly match the description of schizo- phrenia, a therapist must make a differential diagnosis—that

08202_ch14_ptg01.indd 481 9/14/17 8:55 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

482 CHAPTER 14 Psychological Disorders

●● In Figure 14.14, note the greater similarity between dizygotic twins than between siblings. Dizygotic twins have the same genetic resemblance as siblings but greater environmental similarity, including prenatal environment.

Adopted Children Who Develop Schizophrenia For adopted children who develop schizophrenia, the disor- der is more common in their biological relatives than their adopting relatives. A Danish study found schizophrenia in 12.5 percent of the immediate biological relatives and none of the adopting relatives (Kety et al., 1994). Note in Figure 14.14 that children of a mother with schizophrenia have a moder- ately high probability of schizophrenia, even if adopted by mentally healthy parents.

These results suggest a genetic basis, but they are also consistent with a prenatal influence. A pregnant woman with schizophrenia passes her genes to her child, but she also pro- vides the prenatal environment. Many women with schizo- phrenia abuse alcohol or other drugs, eat a poor diet, and have complications during pregnancy and delivery (Jablensky, Morgan, Zubrick, Bower, & Yellachich, 2005). If some of their

●● People with schizophrenia have an increased risk of colon cancer but a decreased risk of several other types of cancer, rheumatoid arthritis, and allergies (Goldman, 1999; Hippisley-Cox, Vinogradova, Coupland, & Parker, 2007; Roppel, 1978; Rubinstein, 1997; Tabarés-Seisdedos & Rubenstein, 2013).

●● Women who have a schizophrenic breakdown during pregnancy usually give birth to daughters. However, those who have a breakdown shortly after giving birth usually gave birth to sons (Taylor, 1969).

●● Many people with schizophrenia have a characteristic body odor, attributed to the chemical trans-3-methyl- 2-hexenoic acid, and they also have decreased ability to smell that chemical (Brewer et al., 2007; Smith, Thomp- son, & Koster, 1969).

●● Most people with schizophrenia and many of their unaf- fected relatives have deficits in pursuit eye movements— the ability to keep their eyes on a moving target (Keefe et al., 1997; Sereno & Holzman, 1993).

25. Other conditions such as drug abuse or brain damage can produce similar symptoms.

STOP & CHECK 25. Someone with the symptoms of schizophrenia might not

qualify for the diagnosis. Why not?

ANSWER

Genetics Huntington’s disease (Chapter 7) can be called a genetic dis- ease: By examining part of chromosome 4, one can predict with almost perfect accuracy who will develop the disease and who will not. At one time, many researchers believed that schizophrenia might be a genetic disease in the same sense. However, accumulating evidence indicates it does not depend on any single gene.

Family Studies The more closely you are biologically related to someone with schizophrenia, the greater your own probability of schizo- phrenia, as shown in Figure 14.14 (Gottesman, 1991). One of the most important points in Figure 14.14 is that monozygotic twins have a higher concordance (agreement) for schizo- phrenia than do dizygotic twins. Furthermore, twin pairs who are really monozygotic, but thought they weren’t, are more concordant than twin pairs who thought they were, but re- ally aren’t (Kendler, 1983). That is, being monozygotic is more important than being treated as monozygotic.

The high concordance for monozygotic twins has long been taken as strong evidence for a genetic influence. How- ever, note two limitations:

●● Monozygotic twins have only about 50 percent concor- dance, not 100 percent.

Percent developing schizophrenia

General population 1%

Husband or wife of schizophrenic person 2%

Cousins of patient 2%

Uncles/aunts 2%

Nephews/nieces 4%

Grandchildren 5%

Half-siblings 6%

Children 13%

Children of schizophrenic mothers, adopted by nonschizophrenic mothers 17%

Siblings 9%

DZ twins 17%

Parents 6%

MZ twins 48%

Children of two schizophrenic parents 46%

Figure 14.14 Probabilities of developing schizophrenia People with a closer genetic relationship to someone with schizophrenia have a higher probability of developing it themselves. (Source: Based on data from Gottesman, 1991)

08202_ch14_ptg01.indd 482 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 483

generation of new neurons in the hippocampus (Duan et al., 2007), and learning (Greenhill et al., 2015). Certain variants in the DISC1 gene are more common in people with schizo- phrenia than in the rest of the population (Moens et al., 2011).

Although no common gene has a strong effect, certain rare mutations do, especially mutations that alter the structure of proteins at synapses, or mutations that interfere with the ma- jor histocompatibility complex, which is part of the immune system (Dachtler et al., 2015; Fromer et al., 2014; Genovese et al., 2016; Purcell et al., 2014; Sekar et al., 2016). Although each of these mutations is rare, a great many mutations of this type are possible, potentially accounting for a significant number of cases. Another contributor is microdeletion, the deletion of a small part of a chromosome. Several studies have found that microdeletions are more common among people with schizo- phrenia than in other people (Buizer-Voskamp et al., 2011; Walsh et al., 2008). Thus, the hypothesis is that a new mu- tation or deletion of any of hundreds of genes disrupts brain development and increases the probability of schizophrenia. As fast as natural selection weeds out those mutations or dele- tions, new ones arise to replace them. Other cases may emerge from environmental factors, perhaps enhanced by some of the more common genetic variations that slightly increase vulner- ability. The next section explores some of the known environ- mental influences.

children develop schizophrenia, we cannot be sure that the reason is genetic.

Studies on adopted children also support a role for envi- ronmental influences. A study of adopted children in Finland found a high probability of schizophrenia or related conditions among children who had a biological mother with schizophre- nia and a severely disordered adopting family. The genetic risk itself or the disordered family itself had less effect, as shown in Figure 14.15 (Wynne et al., 2006).

Efforts to Locate a Gene Researchers working with various populations have identi- fied more than a hundred genetic loci that differ on average between people with or without schizophrenia. Few of these genes actually change the structure of any protein. Mostly they control the amount of production of proteins that are important for brain function (Fromer et al., 2016; Schizophre- nia Working Group, 2014). Many of these genes also increase the probability of other psychological disorders. The results vary from one study to another, partly because some genes are common in one ethnic group but not in another (Vieland et al., 2014).

No common gene produces more than a small increase in the probability of schizophrenia. Indeed, it would be difficult for any gene with a strong link to schizophrenia to become common, because people with schizophrenia have, on aver- age, fewer than half as many children as other people do, and their brothers and sisters do not compensate by having more children than average (Bundy, Stahl, & MacCabe, 2011).

One individual gene worthy of mention, called DISC1 (disrupted in schizophrenia 1), controls differentiation and migration of neurons in brain development (Ishizuka et al., 2011; Steinecke, Gampe, Valkova, Kaether, & Bolz, 2012), pro- duction of dendritic spines (Hayashi-Takagi et al., 2010), the

40

30

20

10

0 Normal Moderately

dysfunctional Severely

dysfunctional

Not Genetic risk

Pe rc

en t

sc h

iz o

p h

re n

ia o

r si

m ila

r

Adopting family

Figure 14.15 Probability of schizophrenia or similar conditions in adopted children The probability was higher for children of a mother with schizophrenia, but growing up in a dysfunctional family magnified that risk. (Source: Based on data from Wynne et al., 2006)

26. A biological mother can influence her child’s develop- ment through prenatal environment as well as genetics. 27. A microdeletion is an error in reproduction that deletes a small part of a chromosome.

STOP & CHECK 26. The fact that adopted children who develop schizophrenia

usually have biological relatives with schizophrenia implies a probable genetic basis. What other interpretation is possible?

27. What is a microdeletion?

ANSWERS

The Neurodevelopmental Hypothesis According to the neurodevelopmental hypothesis, prenatal or neonatal influences—genetic, environmental, or both— produce abnormalities in the developing brain. Even if these abnormalities by themselves do not cause schizophrenia, they leave the brain vulnerable to other disturbances at critical pe- riods in childhood or adolescence. Those disturbances could include traumatic experiences, viral infections, dietary defi- ciencies or allergies, exposure to toxic chemicals, and other possible insults (Davis et al., 2016). The cumulative effect distorts brain function, and therefore behavior (Fatemi & Fol- som, 2009; Weinberger, 1996).

The supporting evidence is that (1) several kinds of pre- natal or early difficulties are linked to later schizophrenia; (2) people with schizophrenia have minor brain abnormalities

08202_ch14_ptg01.indd 483 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

484 CHAPTER 14 Psychological Disorders

pregnancies, and it is more intense with boy than girl babies. Second- and later-born boy babies with Rh incompatibility have an increased risk of hearing deficits, mental retardation, and several other problems, and an increased probability of schizophrenia (Hollister, Laing, & Mednick, 1996).

Another suggestion of prenatal influences comes from the season-of-birth effect: the tendency for people born in winter to have a slightly greater probability of developing schizophrenia than people born at other times of the year. This tendency is more pronounced in latitudes far from the equator (Davies, Welham, Chant, Torrey, & McGrath, 2003; Torrey, Miller, Rawlings, & Yolken, 1997). What might account for the season-of-birth effect? The leading hypothesis is viral infection. Influenza and other viral epidemics are common in the fall. Therefore, the reasoning goes, many pregnant women become infected in the fall with a virus that impairs a cru- cial stage of brain development in a baby who will be born in the winter. Researchers retrieved blood samples that hospitals had taken from pregnant women and stored for decades. They found increased incidence of influenza virus among mothers whose children eventually developed schizophrenia (Brown et al., 2004; Buka et al., 2001). A virus that affects the mother might or might not cross the placenta into the fetus’s brain, but the mother’s cytokines (part of the immune system) do cross, and excessive cytokines can impair brain development (Zuckerman, Rehavi, Nachman, & Weiner, 2003). The moth- er’s infection also causes a fever, which slows the division of fetal neurons. (Exercise during pregnancy does not overheat the abdomen and is not dangerous to the fetus. Hot baths and saunas pose a possible risk, however.) The overall conclusion is that a wide variety of genetic and environmental influences can lead to schizophrenia.

that apparently originate early in life; and (3) it is plausible that abnormalities of early development could impair behavior in adulthood.

Prenatal and Neonatal Environment E. F. Torrey and colleagues (2012) have argued that schizo- phrenia results from a combination of genetic and environ- mental influences. Among the environmental factors, they distinguished between intermediate risk factors and low risk factors. (Nothing was strong enough to count as a high risk factor.)

Intermediate Risk Factors As already mentioned, living in a crowded city is a risk factor, presumably for environmental reasons. Another intermediate risk factor is prenatal or childhood infection with the parasite Toxoplasma gondii. This parasite, discussed in Chapter 11 in the context of anxiety and the amygdala, reproduces only in cats, but it can infect humans and other species also. People can be exposed to the parasite by handling infected cats, by playing in soil or sand where cats have defecated, or by eating chicken or pork after those animals fed in infected soil. If the parasite infects the brain of an infant or child, it impairs brain development. Antibodies against this parasite, indicating past exposure to it, are more common than average among people who have schizophrenia, major depression, bipolar disorder, or obsessive-compulsive disorder (Kramer & Bressan, 2015; Sutterland et al., 2015; Yolken, Dickerson, & Torrey, 2009). However, the parasite does not always enter the human brain, and it is possible to have antibodies against the parasite with- out developing psychological complications.

Low Risk Factors The risk of schizophrenia is mildly elevated among people who had problems that could have affected their brain de- velopment, including poor nutrition of the mother during pregnancy, premature birth, low birth weight, and compli- cations during delivery (Ballon, Dean, & Cadenhead, 2007). The risk is also elevated if the mother was exposed to extreme stress, such as the sudden death of a close relative, early in her pregnancy (Khashan et al., 2008) or if the mother had almost any prolonged illness during pregnancy (Brown, 2011). Illness triggers the immune system, which results in a fever, which interferes with brain development (Estes & McAllister, 2016). Schizophrenia has also been linked to head injuries in early childhood (AbdelMalik, Husted, Chow, & Bassett, 2003), although we do not know whether the head injuries led to schizophrenia or early symptoms of schizophrenia increased the risk of head injuries. Acute infections during adolescence are also common in people who later develop schizophrenia (Metcalf et al., 2017).

If a mother is Rh-negative and her baby is Rh-positive, the baby’s Rh-positive blood factor may trigger an immu- nological rejection by the mother. The response is weak with the woman’s first Rh-positive baby but stronger in later

28. Initial problems begin before birth or soon after birth, but they combine with the effects of later difficulties.

STOP & CHECK 28. According to the neurodevelopmental hypothesis, when

do the brain abnormalities associated with schizophrenia originate?

ANSWER

Mild Brain Abnormalities Many, but not all, people with schizophrenia show mild, vari- able abnormalities of brain anatomy, including less than av- erage gray matter, especially in the hippocampus, amygdala, and thalamus (van Erp et al., 2016). White matter is reduced, and the ventricles (fluid-filled spaces within the brain) are en- larged (Kochunov & Hong, 2014; Meyer-Lindenberg, 2010; Wolkin et al., 1998; Wright et al., 2000) (see Figure 14.16). Minor abnormalities in subcortical areas are also common (Spoletini et al., 2011). Abnormalities visible in the blood ves- sels of the retina imply less than average blood flow to the brain (Meier et al., 2013). Still, the abnormalities are mild compared to those in people with Alzheimer’s disease or

08202_ch14_ptg01.indd 484 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 485

schizophrenia were confined to large, poorly staffed mental hospitals. It is understandable how someone who lived year after year in one of those grim places would deteriorate.

The more recent experience is that people diagnosed with schizophrenia vary in their outcome (Zipursky, Reilly, & Murray, 2013). Up to one-fourth show a serious disorder throughout life and possibly deteriorate, perhaps due to poverty, lack of social support, drug abuse, and poor care. Another group, perhaps 10 to 20 percent of all cases, recover from a first episode and do well from then on. The others— the majority—have one or more remissions and one or more relapses.

Much research has addressed the question of whether the brain abnormalities in schizophrenia become gradually worse as people age. Parkinson’s disease and Alzheimer’s dis- ease are known as progressive disorders because the brain damage progresses to a worse and worse condition. In schizo- phrenia, some studies report that a few brain areas deteriorate over age slightly more than is typical for people of the same age (van Haren et al., 2016). However, most of the abnormal- ity of both brain and behavior is present at the time of first diagnosis, with some further impairment in the next couple of years, but only slight deterioration after that in most patients (Andreasen et al., 2011; Chiapponi et al., 2013; Nesvag et al., 2012; Vita, De Peri, Deste, & Sacchetti, 2012; Woodward, 2016). Even when further deterioration does occur, it could be a result of drug use (common in people with schizophrenia) rather than a result of schizophrenia itself.

Early Development and Later Psychopathology One question may have struck you. The neurodevelopmental hypothesis holds that schizophrenia results from factors that disrupt brain development before birth or during early child- hood. Why, then, are most cases not diagnosed until age 20 or later? The time course may be less puzzling than it seems at first (Weinberger, 1996). Most of the people who receive a diagnosis of schizophrenia in adulthood had shown other

many other disorders. On average, brain volume is only about 5 percent smaller than average, and many people show little or no anatomical abnormality (Woodward, 2016).

The brain areas with consistent signs of abnormality include some that mature slowly, such as the dorsolateral pre- frontal cortex (Berman, Torrey, Daniel, & Weinberger, 1992; Fletcher et al., 1998; Gur et al., 2000). The abnormalities in- clude weaker than average connections from the dorsolateral prefrontal cortex to other brain areas, and less than normal activity in this area during tasks requiring attention and mem- ory (Lynall et al., 2010; van den Heuvel, Mandl, Stam, Kahn, & Pol, 2010; Weiss et al., 2009). As you might predict, people with schizophrenia perform poorly at tasks that depend on the prefrontal cortex (Goldberg, Weinberger, Berman, Pliskin, & Podd, 1987; Spindler, Sullivan, Menon, Lim, & Pfefferbaum, 1997). Most patients with schizophrenia show deficits of memory and attention similar to those of people with dam- age to the temporal or prefrontal cortex (Park, Holzman, & Goldman-Rakic, 1995).

An example of a task that tests for damage to the prefron- tal cortex is the Wisconsin Card Sorting Test. Suppose some- one hands you a shuffled deck of cards that differ in number, color, and shape of objects—for example, three red circles, five blue triangles, four green squares, and so forth. First you should sort the cards by color. Then the rule changes, and you are supposed to sort them by number, and later by shape. Shifting to a new rule requires suppressing the old one and ac- tivates the prefrontal cortex (Konishi et al., 1998). People with damage to the prefrontal cortex have no trouble following whichever rule comes first, but they have trouble shifting to a new rule. People with schizophrenia have the same difficulty.

Long-Term Course Decades ago, psychiatrists regarded schizophrenia as a pro- gressive disorder—that is, one that progresses to worse and worse outcome over time, analogous to Parkinson’s dis- ease or Alzheimer’s disease. However, that conclusion was based largely on experience from the era when patients with

Ventricles

Figure 14.16 Coronal sections for identical twins The twin on the left has schizophrenia; the twin on the right does not. The ven- tricles (near the center of each brain) are larger in the twin with schizophrenia. (Source: Photos courtesy of E. F. Torrey & M. F. Casanova/NIMH)

08202_ch14_ptg01.indd 485 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

486 CHAPTER 14 Psychological Disorders

schizophrenia for most, though not all, patients. Researchers later discovered other antipsychotic, or neuroleptic, drugs (drugs that tend to relieve schizophrenia and similar condi- tions) in two chemical families: the phenothiazines (FEE- no-THI-uh-zeens), which include chlorpromazine, and the butyrophenones (BYOO-tir-oh-FEE-noans), which include haloperidol (trade name Haldol). Behavioral benefits of any of these drugs develop gradually over weeks. Symptoms may or may not return after cessation of treatment.

As Figure 14.18 illustrates, each of these drugs blocks do- pamine synapses, specifically dopamine type D2 synapses. For each drug, researchers determined the mean dose prescribed for patients with schizophrenia (displayed along the horizon- tal axis) and the amount needed to block dopamine receptors (displayed along the vertical axis). As the figure shows, the drugs that are most effective against schizophrenia (and therefore used in the smallest doses) are the most effective at blocking dopamine receptors (Seeman, Lee, Chau-Wong, & Wong, 1976).

That finding inspired the dopamine hypothesis of schizophrenia, which holds that schizophrenia results from excess activity at dopamine synapses in certain brain ar- eas. Although the concentration of dopamine in the brain as a whole is no higher than normal, dopamine release is increased in the basal ganglia, especially in response to stressful events (Howes & Kapur, 2009; Simpson, Kellendonk, & Kandel, 2010). Further support for the dopamine hypothesis comes from the fact that extensive abuse of amphetamine, methamphetamine, or cocaine (which all increase dopamine at the synapses) in- duces substance-induced psychotic disorder, characterized by hallucinations and delusions. LSD, which also produces psychotic symptoms, is best known for its effects on serotonin synapses, but it also stimulates dopamine synapses.

In a clever study, researchers measured the number of dopamine receptors occupied at a given moment. They used a radioactively labeled drug, IBZM, that binds to type D2 re- ceptors. Because IBZM binds only to receptors that dopamine did not already bind, measuring the radioactivity counts the number of vacant dopamine receptors. Then the researchers used a second drug, AMPT, that blocks all synthesis of do- pamine and again used IBZM to count the number of vacant D2 receptors. Because AMPT had prevented production of

problems since childhood, including deficits in attention, memory, and impulse control (Keshavan, Diwadkar, Mon- trose, Rajarethinam, & Sweeney, 2005). An analysis of home movies found that people who later developed schizophrenia showed movement abnormalities during infancy (Walker, Savoie, & Davis, 1994). These relatively minor problems de- veloped into more serious problems later.

Furthermore, the dorsolateral prefrontal cortex, an area that shows consistent signs of deficit in schizophrenia, is one of the slowest brain areas to mature. Researchers damaged this area in infant monkeys and tested the monkeys later. At age 1 year, the monkeys’ behavior was nearly normal, but by age 2 years, it had deteriorated markedly (Goldman, 1971, 1976). That is, the effects of the brain damage grew worse over age. Presumably, the effects of brain damage were minimal at age 1 year because the dorsolateral prefrontal cortex doesn’t do much at that age anyway. Later, when it should begin assum- ing important functions, the damage begins to make a differ- ence (see Figure 14.17).

Treatments Before antipsychotic drugs became available in the mid-1950s, most people with schizophrenia were confined to mental hos- pitals with little hope of recovery. Today, mental hospitals are far less crowded because of drugs and outpatient treatment.

Antipsychotic Drugs and Dopamine In the 1950s, psychiatrists discovered that chlorpromazine (trade name Thorazine) relieves the positive symptoms of

Infant brain damage

Age one year

Little apparent effect of lesion; performs almost as well as undamaged monkeys doDamage to

dorsolateral prefrontal cortex

Clear effect of lesion; performs much worse than undamaged monkeys do

Age two years

Figure 14.17 Delayed effects of brain damage in infant monkeys After damage to the dorsolateral prefrontal cortex, monkeys are unimpaired at age 1 year but impaired later, when this area ordinarily matures. Researchers speculate that similar damage in humans might produce behav- ioral deficits not apparent until adulthood. (Source: Based on P. S. Goldman, 1976)

29. The prospects for recovery are more encouraging than they would seem if the brain were continuing to dete- riorate over time. With any type of brain damage, some degree of recovery over time is likely.

STOP & CHECK 29. If brain abnormalities do not continue to grow worse over

time, what is the implication for the possibility of recovery?

ANSWER

08202_ch14_ptg01.indd 486 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 487

Second-Generation Antipsychotic Drugs The brain has several dopamine pathways with different functions. Drugs that block dopamine synapses pro- duce their benefits by acting on neurons in the mesolimbocortical system, neurons that project from the midbrain to the limbic system and prefrontal cortex. However, these drugs also block dopamine neurons in the mesostriatal system that projects to the basal ganglia (see Figure 14.19). The effect on the basal ganglia produces tardive dyskinesia (TARD-eev dis-kih-NEE-zhee-uh), characterized by tremors and other involuntary movements that develop gradually and to varying degrees among pa- tients (Kiriakakis, Bhatia, Quinn, & Marsden, 1998).

Once tardive dyskinesia emerges, it can last long after someone quits the drug (Kiriakakis et al., 1998). Conse- quently, the best strategy is to prevent it from starting. Certain drugs called second-generation antipsychotics, or atypical antipsychotics, reduce the risk of movement problems from 30 percent to 20 percent (Carbon, Hsieh, Kane, & Correll, 2017) (see Figure 14.20). The most common of these drugs are clozapine, amisulpride, risperidone, olanzapine, and aripiprazole. Compared to drugs like haloperidol, the second- generation antipsychotics have less effect on dopamine

dopamine, all D2 receptors should be vacant at this time, so the researchers got a count of the total. Then they subtracted the first count from the second count, yielding the number of D2 receptors occupied by dopamine at the first count. The people with schizophrenia had about twice as many D2 recep- tors occupied as normal:

●● First count: IBZM binds to all D2 receptors not already attached to dopamine.

●● Second count: IBZM binds to all D2 receptors (because AMPT eliminated production of dopamine).

●● Second count minus first count equals the number of D2 receptors bound to dopamine at the first count. (Abi- Dargham et al., 2000)

10–7

10–8

10–9

10–10

0.1110

Mean clinical dose for controlling schizophrenia (mg per day)

1001000

Promazine

Clozapine

Thioridazine Molindone

Prochlorperazine

Moperone Tri�uperazine

Thiothixene

Haloperidol Droperidol Fluphenazine

Pimozide Tri�uperidol

Benperidol

Spiroperidol

Chlorpromazine TrazodoneD

o sa

g e

n ec

es sa

ry t

o b

lo ck

d o

p am

in e

re ce

p to

rs (m

o le

s p

er li

te r)

Figure 14.18 Dopamine-blocking effects of antipsychotic drugs Drugs are arranged along the horizontal axis in terms of the average daily dose prescribed for patients with schizophrenia. (Horizontal lines indicate common ranges.) Larger doses are to the left, and smaller doses are to the right so that more effective drugs are to the right. Along the vertical axis is a measurement of the amount of each drug required to achieve a certain degree of blockage of postsynaptic dopamine receptors. Larger doses are toward the bottom, and smaller doses are toward the top so that the drugs on top are more effective. (Source: From “Antipsychotic drug doses and neuroleptic/dopamine receptors,” by P. Seeman, T. Lee, M. Chau-Wong, and K. Wong, 1976, Nature, 261, pp. 717–719. Copyright © 1976 Macmillan Magazines Limited. Reprinted by permission of Nature and Phillip Seeman.)

30. Their ability to relieve schizophrenia correlates strongly with how well they block activity at dopamine synapses.

STOP & CHECK 30. The ability of traditional antipsychotic drugs to relieve

schizophrenia correlates strongly with what effect on neurotransmitters?

ANSWER

08202_ch14_ptg01.indd 487 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

488 CHAPTER 14 Psychological Disorders

side effects, including weight gain and impairment of the immune system. Studies have disagreed about whether the second-generation antipsychotics improve quality of life more than the original drugs do (Grunder et al., 2016; Jones et al., 2006).

The second-generation antipsychotics do not differ by much in their effectiveness (Samara et al., 2016). Neverthe- less, an interesting point emerges from studies comparing one drug against another: In 90 percent of the studies that were sponsored by a drug company, the results favored the drug sold by the sponsoring company (Heres et al., 2006). Interest- ing coincidence, right? We need not assume anything overtly dishonest. It is possible to bias a study in subtle ways, by alter- ing the doses of two drugs, choosing patients who seem likely to respond to the sponsor’s drug, or choosing one measure- ment instead of another to report.

Role of Glutamate The dopamine hypothesis is, at best, incomplete, because about one-third of all patients fail to respond to the drugs that block dopamine. According to the glutamate hypothesis of schizophrenia, the problem relates in part to deficient ac- tivity at glutamate synapses in the prefrontal cortex. In many brain areas, dopamine inhibits glutamate release, or glutamate stimulates neurons that inhibit dopamine release. Therefore, increased dopamine could produce nearly the same effects as decreased glutamate.

Studies have consistently found decreased glutamate release in the prefrontal cortex for people with schizophre- nia (Marsman et al., 2013). Further support for the glutamate hypothesis comes from the effects of phencyclidine (PCP) (“angel dust”), a drug that inhibits the NMDA glutamate receptors. At low doses, it produces intoxication and slurred speech. At larger doses, it produces both positive and negative symptoms of schizophrenia, including hallu- cinations, thought disorder, loss of emotions, and memory loss. PCP is an interesting model for schizophrenia in other regards also:

●● PCP and the related drug ketamine produce little if any psychotic response in preadolescents. Just as the symptoms of schizophrenia usually begin to emerge well after puberty, so do the psychotic effects of PCP and ketamine.

●● LSD, amphetamine, and cocaine produce temporary schizophrenic symptoms in almost anyone, and the effects are not much worse in people with a history of schizo- phrenia than in anyone else. However, PCP produces a relapse for someone who has recovered from schizophre- nia. (Farber, Newcomer, & Olney, 1999; Hardingham & Do, 2016; Olney & Farber, 1995)

It might seem that the best test of the glutamate hypothesis would be to administer glutamate itself. However, glutamate is the brain’s most widespread transmitter, and increasing it ev- erywhere should cause confusion and possibly damage from

receptors but more strongly antagonize serotonin type 5-HT2 receptors (Kapur et al., 2000; Meltzer, Matsubara, & Lee, 1989; Mrzljak et al., 1996; Roth, Willins, Kristiansen, & Kroeze, 1999). They also increase the release of glutamate (Melone et al., 2001). Unfortunately, they produce other

Basal ganglia

Prefrontal cortex

Mesostriatal system

Substantia nigra

Ventral tegmental area

Mesolimbocortical system

Figure 14.19 Two major dopamine pathways Overactivity of the mesolimbocortical system is linked to the symptoms of schizophrenia. The path to the basal ganglia is associated with tardive dyskinesia, a movement disorder. (Source: Adapted from Valzelli, 1980)

Figure 14.20 PET scans of a patient with schizophrenia These PET scans of a patient with schizophrenia (a) taking clozapine and (b) during a period off the drug demonstrate that clozapine increases brain activity in many brain areas. Red indicates the highest activity, followed by yellow, green, and blue.

Ha nk

M or

ga n/

Sc ie

nc e

So ur

ce

08202_ch14_ptg01.indd 488 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 489

overstimulation. The glutamate receptor has a second site that glycine activates to enhance the response to glutamate. Therefore, a possible approach would be to try to activate the glycine receptor. Unfortunately, so far all attempts to treat schizophrenia with drugs aimed at glutamate or glycine have produced only disappointing results (Beck, Javitt, & Howes, 2016; Iwata et al., 2015). 31. Second-generation antipsychotics are less likely to

cause tardive dyskinesia. Also, they alter synapses other than dopamine, in ways that may be helpful.

STOP & CHECK 31. What are the advantages of the second-generation

antipsychotics?

ANSWER

Many Remaining Mysteries

Research is a little like reading a good mystery novel that pres- ents a mixture of important clues and irrelevant information. In research on schizophrenia, we have an enormous amount of information, but also major gaps and occasional points that don’t seem to fit. The final chapter of our mystery novel

on schizophrenia is far from complete. However, although researchers have not yet solved the mystery, it should also be clear that they have made progress. It will be fascinating to see what develops in future research.

Module 14.3 In Closing

Summary 1. Positive symptoms of schizophrenia (behaviors that are

not present in most other people) include hallucinations, delusions, inappropriate emotions, bizarre behaviors, and thought disorder. 480

2. Negative symptoms (normal behaviors absent that should be present) include deficits of social interaction, emo- tional expression, and speech. 480

3. Before diagnosing someone with schizophrenia, a thera- pist needs to rule out brain damage, drug abuse, and other conditions that could produce similar symptoms. 481

4. Studies of twins and adopted children imply a genetic predisposition to schizophrenia. However, the adoption studies do not distinguish between the roles of genetics and prenatal environment. 482

5. Researchers have identified many genes associated with schizophrenia, but no common gene increases the risk by much. A promising hypothesis is that schizophrenia results from new mutations or microdeletions of any of the hundreds of genes that are important for brain development. 483

6. According to the neurodevelopmental hypothesis, either genes or difficulties early in life, often before birth, impair brain development in ways that increase vulnerability to later insults and predispose to behavioral abnormalities beginning in early adulthood. 483

7. Many people with schizophrenia show mild abnormali- ties of brain development, especially in the temporal and frontal lobes. They also show cognitive deficits that make sense if their frontal and temporal lobes are less than fully functional. 484

8. Contrary to what psychiatrists used to believe, most people with schizophrenia do not continue deteriorating throughout life. Some recover, some remain troubled throughout life, and some alternate between remission and relapse. Although the brain shows abnormalities during the first episode of schizophrenia, most people show little or no increase in those abnormalities as time passes. 485

9. Parts of the prefrontal cortex are very slow to mature. It is plausible that early disruption of those areas might produce behavioral symptoms that manifest as schizo- phrenia in young adults. 485

10. According to the dopamine hypothesis, schizophrenia is due to excess dopamine activity. Drugs that block dopamine synapses reduce the positive symptoms of schizophrenia, and drugs that increase dopamine activ- ity induce the positive symptoms. 486

11. Prolonged use of antipsychotic drugs may produce tardive dyskinesia, a movement disorder. Second- generation antipsychotic drugs reduce the risk of tardive dyskinesia. 487

12. According to the glutamate hypothesis, part of the prob- lem is deficient glutamate activity. Phencyclidine, which blocks NMDA glutamate synapses, produces both posi- tive and negative symptoms of schizophrenia, especially in people predisposed to schizophrenia. 488

08202_ch14_ptg01.indd 489 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

490 CHAPTER 14 Psychological Disorders

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

antipsychotic (neuroleptic) drugs 486

butyrophenones 486 chlorpromazine 486 concordance 482 delusions 480 differential diagnosis 481 DISC1 483 dopamine hypothesis of

schizophrenia 486

glutamate hypothesis of schizophrenia 488

hallucinations 480 mesolimbocortical system 487 microdeletion 483 negative symptoms 480 neurodevelopmental

hypothesis 483 phencyclidine (PCP) 488 phenothiazines 486

positive symptoms 480 schizophrenia 480 season-of-birth effect 484 second-generation

antipsychotics 487 substance-induced psychotic

disorder 486 tardive dyskinesia 487

1. Why is lack of emotional expression considered a “negative” symptom? A. It is disadvantageous to the patient. B. Only a small percentage of patients have this

symptom.

C. The symptom refers to the absence of something. D. It is caused by decreased activity in certain brain

areas.

2. Schizophrenia is more common than average in which of the following types of people? A. People with allergies B. People who live in cities

C. People who move from Europe to one of the Caribbean countries

D. People who eat a diet rich in fish

3. Which of these is a likely conclusion about the role of genetics in schizophrenia? A. An aberrant form of the DISC1 gene causes most

cases of schizophrenia. B. Researchers believe one gene causes schizophrenia,

but they have not found it yet.

C. Rare mutations or microdeletions increase the probability of schizophrenia.

D. Schizophrenia is not related to genetics.

4. According to the neurodevelopmental hypothesis, what starts schizophrenia? A. Disorders of brain development before or shortly after

birth B. Tumors or other brain injuries between ages 8 and 12

C. Difficult social experiences in adolescence D. Experiences shortly before the diagnosis

5. What is Toxoplasma gondii? A. A second-generation antipsychotic drug B. A parasite that can cause psychiatric disorders

C. A chemical used for measuring dopamine concentrations

D. A small nucleus of cells within the prefrontal cortex

Module 14.3 End of Module Quiz

On average, people who use much marijuana are more likely than others to develop schizophrenia. However, over the last several decades, the use of marijuana has increased while the prevalence of schizophrenia has not. What would be a reasonable hypothesis about the rela- tionship between marijuana use and schizophrenia?

Thought Question

08202_ch14_ptg01.indd 490 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.3 Schizophrenia 491

6. Of these, which is the most likely explanation for the season-of-birth effect? A. Differences in the age of children when they start

school B. Room temperature at the time of birth

C. Availability of proteins in the diet D. Maternal illness during pregnancy

7. If schizophrenia is due to abnormal brain development in early life, how can we account for the fact that behavioral symptoms are not apparent until later in life? A. Schizophrenia impairs only social behavior, which is

more important in adulthood. B. Other people do not notice the problems until the

person is old enough to seek employment.

C. A prime area of damage is the prefrontal cortex, which matures very slowly.

D. Certain behavioral tests are inappropriate for use with children.

8. What is the time course of brain damage in schizophrenia? A. Most of the brain damage is present at diagnosis or

soon after. B. The brain damage starts minimally and increases

steadily throughout life.

C. The brain damage occurs during adolescence and improves later.

D. The brain damage is apparent only in patients who spent years in mental hospitals.

9. What is the effect of antipsychotic drugs on synapses? A. They stimulate oxytocin receptors. B. They interfere with reuptake of serotonin and other

transmitters.

C. They block certain dopamine synapses. D. They block certain glutamate synapses.

10. Of the following, which is an attempt to decrease tardive dyskinesia? A. Increased consumption of omega-3 fatty acids B. Exposure to bright lights in the morning

C. Alternating between Thorazine and Haldol D. Use of second-generation antipsychotic drugs

Answers: 1C, 2B, 3C, 4A, 5B, 6D, 7C, 8A, 9C, 10D.

08202_ch14_ptg01.indd 491 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

492

Autism was once considered a rare condition. Today, esti-mates of its incidence vary substantially, with a median estimate of about one in 160 people worldwide (Elsabbagh et al., 2012). Part of the apparent increase is due to greater awareness and greater likelihood of using the label autism instead of something else. However, it is also possible that this condition has become more common than it used to be.

Symptoms and Characteristics Therapists used to use the term Asperger’s syndrome for people with a mild impairment similar to autism, but because Asperger’s syndrome differs from autism only in degree, the new term autism spectrum disorder combines the two. In this module, for simplicity we use just the term autism, but you should understand that the term applies to the whole range of disorders.

Autism is about four times as common in boys as in girls. When it does occur in females, it tends to be more severe (Turner et al., 2015). Autism occurs throughout the world, and we have no convincing evidence that its prevalence varies by

geography, ethnic group, or socioeconomic status (Elsabbagh et al., 2012). The American Psychiatric Association (2013) identifies the following as important characteristics of autism spectrum disorder:

●● Deficits in social and emotional exchange ●● Deficits in gestures, facial expressions, and other nonver-

bal communication ●● Stereotyped behaviors, such as repetitive movements (see

Figure 14.21) ●● Resistance to a change in routine ●● Unusually weak or strong responses to stimuli, such as

indifference to pain or a panicked reaction to a sound

Most people with autism have additional problems, such as epilepsy, anxiety, poor coordination, or deficits in atten- tion or sleep (Bourgeron, 2015). Many have abnormalities in the cerebellum, resulting in clumsiness and impaired volun- tary eye movements (Fatemi et al., 2012). Some have autistic symptoms secondary to brain tumors or other serious medical disorders (Sztainberg & Zoghbi, 2016). All of these symptoms vary substantially from one person to another. In the words of

Module 14.4

Autism Spectrum Disorders

Figure 14.21 Stereotyped behaviors by an autistic child Repetitive nonsocial behaviors are common in people with autism. (Source: M. Scott Brauer/Alamy Stock Photo)

08202_ch14_ptg01.indd 492 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.4 Autism Spectrum Disorders 493

chance (Risch et al., 2014). The genes were no more similar after a short delay than after a long delay, but the prenatal environments were more similar. For example, a mother who had an infection during the earlier pregnancy would be more likely to have the same infection after a shorter delay than after a longer one.

Some mothers of children with autism—about 12  percent—have antibodies that attack certain brain pro- teins. Few if any mothers of unaffected children have these antibodies. Identifying women with those antibodies might make it possible to intervene pharmacologically to prevent autism (Braunschweig et al., 2013). As further evidence for the relevance of those antibodies, researchers injected preg- nant monkeys with antibodies from mothers of children with autism or mothers of unaffected children. Those injected with antibodies from children with autism—and not the others—had offspring that avoided social contacts with other monkeys (Bauman et al., 2013).

One more contributing factor: Nutritionists recommend that pregnant women and women planning to become preg- nant get adequate amounts of folic acid (vitamin B9), either from leafy green vegetables and orange juice, or from vitamin pills. Folic acid is important for development of the nervous system. Women who take folic acid pills during pregnancy have about half the probability of having a child with autism, compared to other women (Surén et al., 2013).

Children with autism have brain abnormalities that vary from one to another. A feature often noted is a large head. At age one year, the mean head size for autistic children is 10 per- cent greater than average. For the next several years, much of the cerebral cortex is larger than average. Some connec- tions within the brain are stronger than average, whereas oth- ers are weaker than average. By young adulthood, the brain size is only about 1 percent greater than average (Hahamy, Behrmann, & Malach, 2015; Jumah, Ghannam, Jaber, Adeeb, & Tubbs, 2016; Schumann et al., 2010). Evidently brain devel- opment is progressing in an unusual way, but exactly how all this relates to the symptoms is not yet known.

Steven Shore, “If you’ve met one child with autism, you’ve met one child with autism.”

Parents of autistic children often notice a problem from the start, as an infant may not react comfortably to being held. Other problems increase over time. At age 2 months, children with autism make eye contact about as much as other chil- dren, but their eye contact gradually declines over the next two years (Jones & Klin, 2013). The problem is not an aversion to eye contact. Once they do make eye contact, they maintain it as long as other children, on average. The problem is that eyes and other social cues do not readily attract their attention (Moriuchi, Klin, & Jones, 2016).

In addition to the deficits characteristic of autism, cer- tain strengths occur, too. Many develop narrow skills at which they excel. A surprising strength, not explained by any theory, is that children with autism tend to be substantially better than average at detecting visual motion (Foss-Feig, Tadin, Schauder, & Cascio, 2013).

Genetics and Other Causes If you remember the information about genetics of drug abuse, depression, and schizophrenia, the genetic basis of autism will sound familiar: Many genes have been linked to autism, but no common gene exerts a large effect. Dozens of very rare genes can cause autism, but combined the identified genes account for only about 5 percent of cases (de la Torre-Ubieta, Won, Stein, & Geschwind, 2016). One identified mutation is to a gene in mitochondria (Aoki & Cortese, 2016). New mutations appear to be responsible for 10 percent or more of cases (Har- ris, 2016; Sanders et al., 2015; Tian et al., 2015). Although the number of possible mutations relevant to autism is large, their effects converge onto just a few chemical pathways that affect the early development of the brain (Krishnan et al., 2016). Ex- ploring those pathways can help illuminate the basis of autism.

By examining the genes that surround a new mutation, and then comparing the results to the parents’ chromosomes, researchers can infer whether a mutation came from the mother or the father, or whether it arose anew. Most of them occur on chromosomes inherited from the father, and the oldest fathers are slightly more likely to have children with autism than younger fathers are (Kong et al., 2012; O’Roak et al., 2012b). The same is true in schizophrenia. The expla- nation for the older-father effect is that women develop all their egg cells early in life, whereas men continue making new sperm throughout life, and mutations tend to accumulate (Lee & McGrath, 2015).

Prenatal environment can also contribute to autism. (Again note the parallel to schizophrenia.) The risk of autism increases if the mother is exposed during pregnancy to large amounts of pesticides, solvents, perfumes, or air pollutants (Mandy & Lai, 2016; Sealey et al., 2016).

A large-scale study found that after the birth of a child with autism, a brother or sister born less than 18 months later had a 14.4 percent chance of having autism also, whereas a brother or sister born 4 years later had only a 6.8 percent

32. They compare the child’s chromosome to those of the parents. If neither parent has that mutation or microdele- tion, then it arose anew. They can also examine surround- ing genes to determine whether the chromosome came from the father or the mother. 33. Genetics cannot be the whole explanation for autism. Factors in the prenatal environment may contribute. The prenatal environment would be more similar for siblings close in age.

STOP & CHECK 32. How can researchers determine whether a mutation or

microdeletion has arisen anew? 33. Having a sibling with autism who is close to your age

increases your own risk more than having a sibling with autism who is much older or younger. What conclusion does this observation imply?

ANSWERS

08202_ch14_ptg01.indd 493 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

494 CHAPTER 14 Psychological Disorders

Not much solid research is available to evaluate the success of this approach (Reed, Hirst, & Hayman, 2012). Cognitive behavioral therapy provides moderate benefits according to therapists and parents, but not according to the people with autism themselves (Weston, Hodgekins, & Langdon, 2016).

Parents who grow understandably disappointed with these treatments are vulnerable to anyone who promises something better. A huge number of fad treatments have arisen, including special diets, chelation, music, and therapeu- tic touch. A treatment can become popular despite a lack of evidence to support it, or even the presence of evidence that it is useless or harmful. Many fad treatments make the parents feel good that they are trying something, but otherwise they are a waste of time and money (Matson, Adams, Williams, & Rieske, 2013).

Treatments No medical treatment helps with the central problems of de- creased social behavior and communication. Risperidone, a second-generation antipsychotic drug, sometimes reduces the stereotyped behaviors, but at the risk of serious side effects. In rare cases autism is due to mutation of a gene whose effects could be reversed chemically (Han et al., 2012; Novarino et al., 2012). At least, that is true theoretically. No attempts to apply this approach have been reported.

Behavioral treatments address the deficits in social behavior and communication. Parents, teachers, and thera- pists focus on eliciting the child’s attention and reinforcing favorable behaviors. This procedure is successful with many children but not all. Treatments for stereotyped behaviors include reinforcing other behaviors or competing behaviors.

Development and Disorders Module 14.4 In Closing

All the disorders discussed in this chapter—alcoholism and substance abuse, depression, schizophrenia, and autism— relate to many genes, not just one. Many of the genes that increase the risk of one disorder increase the risk of others, too. Many people have more than one disorder. Certainly many people have both depression and alcohol abuse, both

schizophrenia and alcohol or other substance abuse, or both autism and attention deficit disorder. In short, disorders that we discuss as if they were separate actually overlap. The early stages of brain development are complex and easily disrupted. Once the process goes off course, the risk increases for many undesirable outcomes.

Summary 1. Autism spectrum disorder is diagnosed more often now than

in the past. The severity of symptoms varies greatly. 492 2. Primary symptoms include a deficiency of social behavior

and communication, including nonverbal communica- tion. Many individuals also have repetitive stereotyped behaviors. 492

3. No one gene is responsible for this condition. In some cases, it relates to new mutations or microdeletions, including one mutation to a mitochondrial gene. 493

4. Difficulties in the prenatal environment also contribute. Some cases result because the mother during pregnancy produced certain antibodies that attack brain proteins. Consuming folic acid decreases the probability of having an autistic child. 493

5. Behavioral treatments are the only effective approach to treating social and communicative deficits. Many parents try fad treatments of doubtful effectiveness. 494

Key Terms Terms are defined in the module on the page number indi- cated. They’re also presented in alphabetical order with defi- nitions in the book’s Subject Index/Glossary, which begins on

page 589. Interactive flash cards, audio reviews, and crossword puzzles are among the online resources available to help you learn these terms and the concepts they represent.

autism spectrum disorder 492 folic acid 493

08202_ch14_ptg01.indd 494 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

14.4 Autism Spectrum Disorders 495

Some people have their chromosomes examined to check for predispositions to various illnesses, such as breast cancer. What would be the pros and cons of checking for genes associated with psychological disorders?

Thought Question

1. In what way is the genetic basis of autism similar to that of schizophrenia? A. In both, most cases can be traced to a mutation in the

DISC1 gene. B. In both, many genes contribute.

C. In both, a single dominant gene is responsible for the condition.

D. In both, the genes exert their effects by altering sero- tonin reuptake.

2. Which of these is commonly observed for children with autism? A. If they see someone’s eyes, they quickly look away. B. Eyes usually fail to capture their attention.

C. When they see someone’s eyes, they stare uninter- rupted for an unusually long time.

D. They move their eyes back and forth more rapidly than usual.

3. The probability of autism increases if which of these is true? A. The mother was significantly taller than the father. B. The mother was a vegetarian, but the father was not.

C. The mother and father came from different ethnic groups.

D. The father was much older than average.

4. Which of the following is common for children with autism, at age one year? A. The brain’s norepinephrine concentration is 10 per-

cent higher than average. B. The axons conduct impulses 10 percent faster than

average.

C. The head is 10 percent larger than average. D. The cerebral ventricles are 10 percent larger than

average.

5. What dietary supplement during pregnancy decreases the probability of having a child with autism? A. Calcium B. Vitamin C

C. Fish oil D. Folic acid

Module 14.4 End of Module Quiz

Answers: 1B, 2B, 3D, 4C, 5D.

Chahrour, M. et al. (2016). Current perspectives in autism spectrum disorder: From genes to therapy. Journal of Neu- roscience, vol. 36, pp. 11402–11410. An excellent review of research on autism.

Kirsch, I. (2010). The emperor’s new drugs. New York: Basic Books. A highly skeptical discussion of the effectiveness or ineffectiveness of antidepressant drugs.

Suggestions for Further Reading

08202_ch14_ptg01.indd 495 9/14/17 11:56 AM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

496

[ M A I N I D E A S ]

1. All matter is composed of a limited number of elements that combine in endless ways.

2. Atoms, the component parts of an element, consist of protons, neutrons, and electrons. Most atoms can gain or lose electrons, or share them with other atoms.

3. The chemistry of life is predominantly the chemistry of carbon compounds.

Introduction To understand certain aspects of biological psychology, par- ticularly the action potential and the molecular mechanisms of synaptic transmission, you need to know a little about chemistry. If you have taken a high school or college course and remember the material reasonably well, you should have no trouble with the chemistry in this text. If your knowledge of chemistry is pretty hazy, this appendix will help. (If you plan to take other courses in biological psychology, you should study as much biology and chemistry as possible.)

Elements and Compounds If you look around, you will see an enormous variety of materials—dirt, water, wood, plastic, metal, cloth, glass, your own body. Every object is composed of a small number of ba- sic building blocks. If a piece of wood catches fire, it breaks down into ashes, gases, and water vapor. The same is true of your body. An investigator could take those ashes, gases, and water, and break them down by chemical and electrical means into carbon, oxygen, hydrogen, nitrogen, and a few other ma- terials. Eventually, however, the investigator arrives at a set of materials that cannot be broken down further: Pure carbon or pure oxygen, for example, cannot be converted into anything simpler, at least not by ordinary chemical means. (High-power bombardment with subatomic particles is another story.) The matter we see is composed of elements (materials that cannot be broken down into other materials) and compounds (mate- rials made up by combining elements).

Chemists have found 92 elements in nature, and they have constructed more in the laboratory. (Actually, one of the 92—technetium—is so rare as to be virtually unknown in nature.) Figure A.1, the periodic table, lists each of these

elements. Of these, only a few are important for life on Earth. Table A.1 shows the elements commonly found in the human body.

Note that each element has a one- or two-letter abbre- viation, such as O for oxygen, H for hydrogen, and Ca for calcium. These are internationally accepted symbols that facilitate communication among chemists who speak differ- ent languages. For example, element number 19 is called po- tassium in English, potassio in Italian, kālijs in Latvian, and draslík in Czech. But chemists in all countries use the symbol K (from kalium, the Latin word for “potassium”). Similarly, the symbol for sodium is Na (from natrium, the Latin word for “sodium”), and the symbol for iron is Fe (from the Latin word ferrum).

A compound is represented by the symbols for the ele- ments that compose it. For example, NaCl stands for sodium chloride (common table salt). H2O, the symbol for water, in- dicates that water consists of two parts of hydrogen and one part of oxygen.

Brief, Basic Chemistry Appendix A

Table A.1 The Elements That Compose Almost All of the Human Body

Element Symbol Percentage by Weight

in Human Body Oxygen O 65 Carbon C 18 Hydrogen H 10 Nitrogen N 3 Calcium Ca 2 Phosphorus P 1.1

Potassium K 0.35 Sulfur S 0.25 Sodium Na 0.15 Chlorine CI 0.15 Magnesium Mg 0.05 Iron Fe Trace Copper Cu Trace Iodine I Trace Fluorine F Trace Manganese Mn Trace Zinc Zn Trace Selenium Se Trace Molybdenum Mo Trace

08202_app_ptg01.indd 496 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Appendix A Brief, Basic Chemistry 497

3 L i

lit hi

um 6.

94 1

4 B e

be ry

lli um

9. 01

2

11 N a

so di

um 22

.9 9

12 M g

m ag

ne si

um 24

.3 05

19 K po

ta ss

iu m

39 .0

98

20 C a

ca lc

iu m

40 .0

8

21 S c

sc an

di um

44 .9

55

22 T i

tit an

iu m

47 .9

0

23 V va

na di

um 50

.9 41

24 C r

ch ro

m iu

m 51

.9 96

25 M n

m an

ga ne

se 54

.9 38

26 Fe iro n

55 .8

47

27 C o

co ba

lt 58

.9 33

28 N i

ni ck

el 58

.7 0

29 C u

co pp

er 63

.5 46

30 Z n

zi nc

65 .3

8

31 G a

ga lli

um 69

.7 2

32 G e

ge rm

an iu

m 72

.5 9

33 A s

ar se

ni c

74 .9

22

34 S e

se le

ni um

78 .9

6

35 B r

br om

in e

79 .9

04

36 K r

kr yp

to n

83 .8

0

13 A l

al um

in um

26 .9

82

14 S i

si lic

on 28

.0 85

15 P ph

os ph

or ou

s 30

.9 74

16 S su

lfu r

32 .0

60

17 C l

ch lo

rin e

35 .4

53

18 A r

ar go

n 39

.9 48

5 B bo

ro n

10 .8

1

6 C ca

rb on

12 .0

11

7 N ni

tro ge

n 14

.0 07

8 O ox

yg en

16 .0

9 F flu

or in

e 18

.9 99

10 N e

ne on

20 .1

79  

37 R b

ru bi

di um

85 .4

68

38 S r

st ro

nt iu

m 87

.6 2

39 Y yt

tri um

88 .9

06

40 Z r

zi rc

on iu

m 91

.2 2

41 N b

ni ob

iu m

92 .9

06

42 M o

m ol

yb de

nu m

95 .9

40

43 T c

te ch

ne tiu

m (9

7)

44 R u

ru th

en iu

m 10

1. 07

45 R h

rh od

iu m

10 2.

90 5

46 P d

pa lla

di um

10 6.

40

47 A g

si lv

er 10

7. 86

8

48 C d

ca dm

iu m

11 2.

41

49 In in

di um

11 4.

82

50 S n tin

11 8.

69

51 S b

an tim

on y

12 1.

75

52 Te te

llu riu

m 12

7. 60

53 I io

di ne

12 6.

90 4

54 X e

xe no

n 13

1. 30

55 C s

ce si

um 13

2. 90

5

56 B a

ba riu

m 13

7. 33

57 L a

la nt

ha nu

m 13

8. 90

6

72 H f

ha fn

iu m

17 8.

49

73 Ta ta

nt al

um 18

0. 94

8

74 W tu

ng st

en 18

3. 85

75 R e

rh en

iu m

18 6.

20 7

76 O s

os m

iu m

19 0.

20

77 Ir iri

du m

19 2.

22

78 P t

pl at

in um

19 5.

09

79 A u

go ld

19 6.

96 7

80 H g

m er

cu ry

20 0.

59

81 T l

th al

liu m

20 4.

37

82 P b

le ad

20 7.

20

83 B i

bi sm

ut h

20 8.

98 0

84 P o

po lo

ni um

(2 09

)

85 A t

as ta

tin e

(2 10

)

86 R n

ra do

n (2

22 )

87 Fr fra

nc iu

m (2

23 )

88 R a

ra di

um 22

6. 02

5

89 A c

ac tin

iu m

(2 27

)

10 4

R f

ru th

er fo

rd iu

m (2

61 )

10 5

D b

du bn

iu m

(2 62

)

10 6

S g

se ab

or gi

um (2

66 )

10 7

B h

bo hr

iu m

(2 64

)

10 8

H s

ha ss

iu m

(2 69

)

10 9

M t

m ei

tn er

iu m

(2 68

)

11 0

D s

da rm

st ad

tiu m

(2 71

)

11 1

R g

ro en

tg en

iu m

(2 72

)

11 2

C n

co pe

rn ic

iu m

(2 85

)

11 3

N h

N ih

on iu

m (2

86 )

11 4

U u

q un

un qu

ad iu

m (2

89 )

11 5

M c

M os

co vi

um (2

89 )

11 6

U u

h un

un he

xi um

(2 92

)

11 7

11 8

O g

O ga

ne ss

on (2

94 )

T s

Te nn

es si

ne (2

94 )

58 C e

ce riu

m 14

0. 12

59 P r

pr as

eo dy

m iu

m 14

0. 90

8

60 N d

ne od

ym iu

m 14

4. 24

61 P m

pr om

et he

um (1

45 )

62 S m

sa m

ar iu

m 15

0. 40

63 E u

eu ro

pi um

15 1.

96

64 G d

ga do

lin iu

m 15

7. 25

65 T b

te rb

iu m

15 8.

92 5

66 D y

dy sp

ro si

um 16

2. 50

67 H o

ho lm

iu m

16 4.

93

68 E r

er bi

um 16

7. 26

69 T m

th ul

iu m

16 8.

93 4

70 Y b

yt te

rb iu

m 17

3. 04

71 L u

lu te

tiu m

17 4.

97

90 T h

th or

iu m

23 2.

03 8

91 P a

pr ot

ac tin

iu m

23 1.

03 6

92 U ur

an iu

m 23

8. 02

9

93 N p

ne pt

un iu

m (2

37 )

94 P u

pl ut

on iu

m (2

44 )

95 A m

am er

ic iu

m (2

43 )

96 C m

cu riu

m (2

47 )

97 B k

be rk

el iu

m (2

47 )

98 C f

ca lif

or ni

um (2

51 )

99 E s

ei ns

te in

iu m

(2 54

)

10 0

F m

fe rm

iu m

(2 57

)

10 1

M d

m en

de le

vi um

(2 58

)

10 2

N o

no be

liu m

(2 55

)

10 3

L r

la w

re nc

iu m

(2 60

)

1 H hy

dr og

en 1.

00 8

2 H e

he liu

m 4.

00 3

1 H hy

dr og

en 1.

00 8

Pe rio

d

1 2 3 4 5 6 7

In ne

r T ra

ns iti

on E

le m

en ts

La nt

ha ni

de s

6

A ct

in id

es 7

at om

ic n

um be

r

el em

en t n

am e

sy m

bo l o

f e le

m en

t

at om

ic w

ei gh

t

1 IA

2 IIA

3 III B

4 IV B

5 VB 6 VI B

7 VI

IB 8

VI IIB

9 VI

IIB 10 VI IIB

11 IB 12 IIB

13 III A

14 IV A

15 VA 16 VI

A 17 VI IA

18 VI IA

A lk

al i

M et

al s

A lk

al in

e Ea

rt h

M et

al s

H al

og en

s

N ob

le G

as es

Tr an

si tio

n El

em en

ts

P er

io d

ic T

ab le

o f

th e

E le

m en

ts

K ey

Fi gu

re A

.1 Th

e pe

ri od

ic ta

bl e

of c

he m

is tr

y It

is ca

lle d

“p er

io di

c” b

ec au

se c

er ta

in p

ro pe

rt ie

s s ho

w u

p at

p er

io di

c in

te rv

al s.

Fo r e

xa m

pl e,

th e

co lu

m n

fro m

li th

iu m

d ow

n co

ns ist

s o f m

et al

s t ha

t r ea

di ly

fo rm

sa

lts . Th

e co

lu m

n at

th e

fa r r

ig ht

c on

sis ts

o f g

as es

th at

d o

no t r

ea di

ly fo

rm c

om po

un ds

. E le

m en

ts 1

14 a

nd 1

16 h

av e

on ly

te nt

at iv

e na

m es

a nd

sy m

bo ls.

08202_app_ptg01.indd 497 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

498 Appendix A Brief, Basic Chemistry

tive ions for negative ions forms an ionic bond. In other cases, instead of transferring an electron from one atom to another, some pairs of atoms share electrons with each other, forming a covalent bond. For example, two hydrogen atoms bind, as shown in Figure A.3, and two hydrogen atoms bind with an oxy- gen atom, as shown in Figure A.4. Atoms that are attached by a covalent bond cannot move independently of one another.

Reactions of Carbon Atoms Living organisms depend on the enormously versatile com- pounds of carbon. Because of the importance of these com- pounds for life, the chemistry of carbon is known as organic chemistry.

Carbon atoms form covalent bonds with hydrogen, oxy- gen, and a number of other elements. They also form covalent bonds with other carbon atoms. Two carbon atoms may share

Atoms and Molecules A block of iron can be chopped finer and finer until it is divided into tiny pieces that cannot be broken down any fur- ther. These pieces are called atoms. Every element is composed of atoms. A compound, such as water, can also be divided into tinier and tinier pieces. The smallest possible piece of a compound is called a molecule. A molecule of water can be further decomposed into two atoms of hydrogen and one atom of oxygen, but when that happens the compound is broken and is no longer water. A molecule is the smallest piece of a compound that retains the properties of the compound.

An atom is composed of subatomic particles, including protons, neutrons, and electrons. A proton has a positive elec- trical charge, a neutron has a neutral charge, and an electron has a negative charge. The nucleus of an atom—its center— contains one or more protons plus a number of neutrons. Electrons are found in the space around the nucleus. Because an atom has the same number of protons as electrons, the electrical charges balance out. (Ions, which we will soon con- sider, have an imbalance of positive and negative charges.)

The difference between one element and another is in the number of protons in the nucleus of the atom. Hydrogen has just one proton, for example, and oxygen has eight. The num- ber of protons is the atomic number of the element; in the periodic table it is recorded at the top of the square for each element. The number at the bottom is the element’s atomic weight, which indicates the weight of an atom relative to the weight of one proton. A proton has a weight of one unit, a neu- tron has a weight just trivially greater than one, and an elec- tron has a weight just trivially greater than zero. The atomic weight of the element is the number of protons in the atom plus the average number of neutrons. For example, most hy- drogen atoms have one proton and no neutrons; a few atoms per thousand have one or two neutrons, giving an average atomic weight of 1.008. Sodium ions have 11 protons; most also have 12 neutrons, and the atomic weight is slightly less than 23. (Can you figure out the number of neutrons in the average potassium atom? Refer to Figure A.1.)

Ions and Chemical Bonds An atom that has gained or lost one or more electrons is called an ion. For example, if sodium and chloride come together, the sodium atoms readily lose one electron each and the chloride atoms gain one each. The result is a set of positively charged sodium ions (indicated Na1) and negatively charged chloride ions (Cl2). Potassium atoms, like sodium atoms, tend to lose an electron and to become positively charged ions (K1); cal- cium ions tend to lose two electrons and gain a double positive charge (Ca11).

Because positive charges attract negative charges, sodium ions attract chloride ions. When dry, sodium and chloride form a crystal structure, as Figure A.2 shows. (In water solution, the two kinds of ions move about haphazardly, occasionally attract- ing one another but then pulling apart.) The attraction of posi-

– – + +–

+ +– –

Sodium ion

Chloride ion

Na+ Cl–

+

+ +– – + +–

Part of a sodium crystal

Figure A.2 The crystal struc- ture of sodium Each sodium ion is surrounded by chloride ions, and each chloride ion is surrounded by sodium ions; no ion is bound to any other single ion in particular.

H

H atom

H +

H2 molecule

H atom

H H

Figure A.3 Structure of a hydrogen molecule A hydrogen atom has one electron; in the compound the two atoms share the two electrons equally.

O

H

H

Figure A.4 Structure of a water molecule The oxygen atom shares a pair of electrons with each hydrogen atom. Oxygen holds the electrons more tightly, making the oxygen part of the molecule more nega- tively charged than the hydrogen part of the molecule.

08202_app_ptg01.indd 498 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Appendix A Brief, Basic Chemistry 499

from one to three pairs of electrons. Such bonds can be indi- cated as follows:

C2C Two atoms share one pair of electrons. C5C Two atoms share two pairs of electrons. C;C Two atoms share three pairs of electrons.

Each carbon atom ordinarily forms four covalent bonds, either with other carbon atoms, with hydrogen atoms, or with other atoms. Many biologically important compounds include long chains of carbon compounds linked to one an- other, such as:

H

C

HHHHH

CC HCCCH

H

C

HH

OHCCH

H HH

Note that each carbon atom has a total of four bonds, count- ing each double bond as two. In some molecules, the carbon chain loops around to form a ring:

H—C—H H—C—H

C C

— —

H

H

C

— —

H

H

H

H

C —

H

H H—C C—H

C C

H

C

H

— H

C — H

Ringed structures are common in organic chemistry. To sim- plify the diagrams, chemists often omit the hydrogen atoms. You can simply assume that each carbon atom in the diagram has four covalent bonds and that all the bonds not shown are with hydrogen atoms. To further simplify the diagrams, chem- ists often omit the carbon atoms themselves, showing only the carbon-to-carbon bonds. For example, the two molecules shown in the previous diagram might be rendered as follows:

If a particular carbon atom has a bond with some atom oth- er than hydrogen, the diagram shows the exception. For ex- ample, in each of the two molecules diagrammed below, one carbon has a bond with an oxygen atom, which in turn has a bond with a hydrogen atom. All the bonds that are not shown are carbon–hydrogen bonds.

O HO H

Figure A.5 illustrates some carbon compounds that are criti- cal for animal life. Purines and pyrimidines form the central structure of DNA and RNA, the chemicals responsible for he- redity. Proteins, fats, and carbohydrates are the primary types

NH2

N

N

N

N

Adenine (a purine)

O

N

N

Thymine (a pyrimidine)

O

CH3

(a protein)

+H

H

N

H

H

C

O

C N

H

H

C

O

C N

H

H

C

O

C N

H

H

C C

C

O

O–R RR R

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

C

H

H

O

HO

Stearic acid (a fat)

H

OH

CH2OH

H

OH

H

H

HO

O H

OH

Glucose (a carbohydrate)

Figure A.5 Structures of some important biological molecules The R in the protein represents a point of attachment for various chains that differ from one amino acid to another. Actual proteins are much longer than the chemical shown here.

08202_app_ptg01.indd 499 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

500 Appendix A Brief, Basic Chemistry

The Role of ATP The body relies on ATP (adenosine triphosphate) as its main way of sending energy where it is needed (see Figure A.7). Much of the energy derived from food goes into forming ATP molecules that eventually provide energy for the muscles and other body parts.

ATP consists of adenosine bound to ribose and three phosphate groups (PO3). Phosphates form high-energy cova- lent bonds. That is, a large amount of energy is required to form the bonds, and a large amount of energy is released when they break. ATP can break off one or two of its three phos- phates to provide energy.

Summary 1. Matter is composed of 92 elements that combine to form

an endless variety of compounds. 496 2. An atom is the smallest piece of an element. A molecule

is the smallest piece of a compound that maintains the properties of the compound. 498

3. The atoms of some elements can gain or lose an electron, thus becoming ions. Positively charged ions attract nega- tively charged ions, forming an ionic bond. In some cases two or more atoms may share electrons, thus forming a covalent bond. 498

4. The principal carrier of energy in the body is a chemical called ATP. 500

of fuel that the body uses. Figure A.6 displays the chemical structures of seven neurotransmitters that are extensively dis- cussed in this text.

Chemical Reactions in the Body A living organism is an immensely complicated, coordinated set of chemical reactions. Life requires that the rate of each reaction be carefully regulated. In many cases one reaction produces a chemical that enters into another reaction, which produces another chemical that enters into another reaction, and so forth. If any one of those reactions is too rapid com- pared to the others, the chemical it produces will accumulate to possibly harmful levels. If a reaction is too slow, it will not produce enough product and the next reaction will be stalled.

Enzymes are proteins that control the rate of chemical reactions. Each reaction is controlled by a particular enzyme. Enzymes are a type of catalyst. A catalyst is any chemical that facilitates a reaction among other chemicals without being altered itself in the process.

CH3 C—O—CH2CH2N(CH3)3

—CH2CH2NH2

HO

HO

—CHCH2NH2

C—CH2—CH2—CH—C

NH3+OHOH

OH O

NH2—CH2—CH2—CH2—C

OH

O

OH

HO

HO

—CHCH2NH—CH3

OH

HO

HO

—CH2CH2NH2 HO

N H

Acetylcholine

Dopamine

Norepinephrine

Epinephrine

Serotonin (5-hydroxytryptamine)

Glutamate

GABA (g-amino-butyric acid)

O

Figure A.6 Chemical structures of seven abundant neurotransmitters

NH2

N

N

N

N

–O

O–

P O O

O

O–

P O P

O

O–

O

O

CH2

C

H

C

H

H

C

OH

H

C

OH

C

CHC

C

CH

Adenosine

Phosphates

Ribose

ATP

ADP

AMP

Figure A.7 ATP, composed of adenosine, ribose, and three phosphates ATP can lose one phosphate group to form ADP (adenosine diphosphate) and then lose another one to form AMP (adenosine monophosphate). Each time it breaks off a phosphate group, it releases energy.

08202_app_ptg01.indd 500 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Appendix A Brief, Basic Chemistry 501

covalent bond 498 element 496 enzyme 500 ion 498 ionic bond 498 molecule 498

Key Terms atom 498 atomic number 498 atomic weight 498 ATP (adenosine triphosphate) 500 compound 496

08202_app_ptg01.indd 501 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

502

and specific technical considerations. An experimental method that would be deemed inappropriate for one kind of research may be the method of choice for another kind of research. It is therefore impossible for the Society to define specific policies and procedures for the care and use of all research animals and for the design and conduct of every neuroscience experiment.

The U.S. Public Health Service Policy on Humane Care and Use of Laboratory Animals (PHS Policy) and the Guide for the Care and Use of Laboratory Animals (the Guide) describe general policies and procedures designed to ensure the humane and appropriate use of live vertebrate animals in all forms of biomedical research. The Society finds the policies and proce- dures set forth in the PHS Policy and the Guide to be both nec- essary and sufficient to ensure a high standard of animal care and use and adopts them as its official Policy on the Use of An- imals in Neuroscience Research (Society Policy). All Society members are expected to conduct their animal research in compliance with this policy. Members are required to verify that they have done so when submitting abstracts for pre- sentation at the Annual Meeting or manuscripts for publica- tion in The Journal of Neuroscience. Adherence to the Society policy is also an important step toward receiving help from the Society in responding to questions about a member’s use of animals in research. A complete description of what to do if your research is questioned is included in this handbook. Also, a complete description of SfN’s policy and procedures for defending members whose research comes under attack can be obtained by contacting the Society’s Central Office.

Local Committee Review An important element of the Society Policy is the establish- ment of a local committee that is charged with reviewing and approving all proposed animal care and use procedures. In addition to scientists experienced in research involving animals and a veterinarian, the membership of this local committee should include a person who is not affiliated with the mem- ber’s institution in any other way. In reviewing a proposed use of animals, the committee should evaluate the adequacy of in- stitutional policies, animal husbandry, veterinary care, and the physical plant. The committee should pay specific attention to proposed procedures for animal procurement, quarantine and stabilization, separation by species, disease diagnosis and treat- ment, anesthesia and analgesia, surgery and postsurgical care, and euthanasia. The review committee also should ensure that procedures involving live vertebrate animals are designed and performed with due consideration of their relevance to human

Introduction The Society for Neuroscience, as a professional society for basic and clinical researchers in neuroscience, endorses and supports the appropriate and responsible use of animals as experimental subjects. Knowledge generated by neurosci- ence research on animals has led to important advances in the understanding of diseases and disorders that affect the nervous system and in the development of better treatments that reduce suffering in humans and animals. This knowledge also makes a critical contribution to our understanding of ourselves, the complexities of our brains and what makes us human. Continued progress in understanding how the brain works and further advances in treating and curing disorders of the nervous system require investigation of complex functions at all levels in the living nervous system. Because no adequate alternatives exist, much of this research must be done on ani- mal subjects. The Society takes the position that neuroscien- tists have an obligation to contribute to this progress through responsible and humane research on animals.

Several functions of the Society are related to the use of animals in research. A number of these involve decisions about research conducted by members of the Society, including the scheduling of scientific presentations at the Annual Meeting, the review and publication of original research papers in The Journal of Neuroscience and the defense of members whose ethical use of animals in research is questioned by animal rights activists. The Society’s support for the research of individual members defines a relationship between the Society and its members. The purpose of this document is to outline the policy that guides that relation- ship. Compliance with the following policy will be an important factor in determining the suitability of research for presentation at the Annual Meeting or for publication in The Journal of Neu- roscience and in situations where the Society is asked to provide public and active support for a member whose use of animals in research has been questioned.

The responsibility for implementing the policy in each of these areas rests with the relevant administrative body (Pro- gram Committee, Publications Committee, Editorial Board and Committee on Animals in Research, respectively) in con- sultation with Council.

Policy on the Use of Animals in Neuroscience Research Neuroscience research uses complicated, often invasive meth- ods, each of which is associated with different problems, risks,

Society for Neuroscience Policies on the Use of Animals and Human Subjects in Research

Appendix B

08202_app_ptg01.indd 502 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

Appendix B Society for Neuroscience Policies on the Use of Animals and Human Subjects in Research 503

General Principles The following principles, based largely on the PHS Policy on Humane Care and Use of Laboratory Animals, can be a use- ful guide to designing and implementing experimental proce- dures involving laboratory animals.

Animals selected for a procedure should be of an appro- priate species and quality and the minimum number required to obtain valid results.

Proper use of animals, including the avoidance or mini- mization of discomfort, distress, and pain, is imperative.

Procedures with animals that may cause more than mo- mentary or slight pain or distress should be performed with appropriate sedation, analgesia, or anesthesia. Surgical or other painful procedures should not be performed on unanes- thetized animals paralyzed by chemical agents.

Postoperative care of animals should minimize discom- fort and pain and, in any case, should be equivalent to accept- ed practices in schools of veterinary medicine.

Animals that would otherwise suffer severe or chronic pain or distress that cannot be relieved should be painlessly killed at the end of the procedure or, if appropriate, during the procedure. If the study requires the death of the animal, the animal must be killed in a humane manner.

Living conditions should be appropriate for the spe- cies and contribute to the animals’ well-being. Normally, the housing, feeding, and care of all animals used for biomedical purposes must be directed by a veterinarian or other scientist trained and experienced in the proper care, handling, and use of the species being maintained or studied. In any case, appro- priate veterinary care shall be provided.

Exceptions to these principles require careful consider- ation and should only be made by an appropriate review group such as an institutional animal care and use committee.

Policy on the Use of Human Subjects in Neuroscience Research Experimental procedures involving human subjects must have been conducted in conformance with the policies and principles contained in the Federal Policy for the Protection of Human Subjects (U. S. Office of Science and Technology Policy) and in the Declaration of Helsinki. When publishing a paper in The Journal of Neuroscience or submitting an abstract for presentation at the Annual Meeting, authors must sign a statement of compliance with this policy.

Recommended References “Declaration of Helsinki.” Adopted by 18th World Medical As-

sembly, Helsinki, 1964; revised by 29th World Medical As- sembly, Tokyo, 1975; Venice, 1983; and Hong Kong, 1989.

“Federal Policy for the Protection of Human Subjects; Notices and Rules.” Federal Register (June 18, 1991) 56: 28002–32.

Varga, Andrew C., Ed. The Main Issue in Bioethics Revised Edition. New York: Paulist Press, 1984.

or animal health, the advancement of knowledge or the good of society. This review and approval of a member’s use of live ver- tebrate animals in research by a local committee is an essential component of the Society Policy. For assistance in developing appropriate animal care and use procedures and establishing a local review committee, call the Society and consult the docu- ments recommended at the end of this section.

Other Laws, Regulations, and Policies In addition to complying with the policy described above, So- ciety members who reside in North America must also adhere to all relevant national, state, or local laws and/or regulations that govern their use of animals in neuroscience research. Thus, U.S. members must observe the U.S. Animal Welfare Act (as amended in 1985) and its implementing regulations from the U.S. Department of Agriculture. Canadian members must abide by the January 1993 Guide to the Care and Use of Experimental Animals. Members in Mexico must comply with the “Seventh Title of the Regulations of the General Law of Health Regarding Health Research.” In addition to complying with the laws and regulations of their home countries, foreign members of the So- ciety should adhere to the official Society Policy outlined here.

Recommended References Canadian Council on Animal Care. Guide to the Care and Use

of Experimental Animals Vol. 1. 2d ed. Ontario, Canada: CCAC, 1993. 

Foundation for Biomedical Research. The Biomedical Inves- tigator’s Handbook for Researchers Using Animal Models. Washington, D.C.: FBR, 1987. 

Laws and Codes of Mexico. “Seventh Title of the Regulations of the General Law of Health Regarding Health Research.” 12th updated ed. Porrua Collection, 430-31. Mexico: Por- rua Publishers, 1995.

National Academy of Sciences. Guide for the Care and Use of Laboratory Animals, 7th ed. Washington, D.C.: National Research Council, Institute for Laboratory Animal Research, NAS, 1996. 

National Institutes of Health. OPRR Public Health Service Policy on Humane Care and Use of Laboratory Animals. Rockville, MD: NIH/Office for Protection from Research Risks, 1996. 

National Institutes of Health. Preparation and Maintenance of Higher Mammals During Neuroscience Experiments. Report of a National Institutes of Health Workshop. NIH Publication No. 94-3207. Bethesda, MD: NIH/National Eye Institute, 1994. 

Society for Neuroscience. Handbook for the Use of Animals in Neuroscience Research. Washington, D.C.: SfN, 1991.

Visual Neuroscience. 1 (4): 421-6. “Anesthesia and Paralysis in Experimental Animals.” Report of a Workshop held in Bethesda, Md., Oct. 27, 1984. Organized by the Division of Research Grants, National Institutes of Health. Eng- land: VN, 1984. 

08202_app_ptg01.indd 503 9/15/17 7:30 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

504

Numbers in parentheses following entries indi- cate the chapter in which a reference is cited.

Abbott, N. J., Rönnback, L., & Hansson, E. (2006). Astrocyte-endothelial interactions at the blood–brain barrier. Nature Reviews Neuroscience, 7, 41–53. (1)

Abbott, S. B. G., Machado, N. L. S., Geerling, J. C., & Saper, C. B. (2016). Reciprocal con- trol of drinking behavior by median preoptic neurons in mice. Journal of Neuroscience, 36, 8228–8237. (9)

AbdelMalik, P., Husted, J, Chow, E. W. C., & Bassett, A. S. (2003). Childhood head injury and expression of schizophrenia in multi- ply affected families. Archives of General Psychiatry, 60, 231–236. (14)

Abi-Dargham, A., Rodenhiser, J., Printz, D., Zea-Ponce, Y., Gil, R., Kegeles, L. S.,  .  .  . Laruelle, M. (2000). Increased baseline occupancy of D2 receptors by dopamine in schizophrenia. Proceedings of the National Academy of Sciences, USA, 97, 8104–8109. (14)

Abrahamsson, N., & Hyltenstam, K. (2009). Age of onset and nativelikeness in a sec- ond language: Listener perception versus linguistic scrutiny. Language Learning, 59, 249–306. (13)

Ackman, J. B., Burbridge, T. J., & Crair, M. C. (2012). Retinal waves coordinate patterned activity throughout the developing visual system. Nature, 490, 219–225. (5)

Adamec, R. E., Stark-Adamec, C., & Livingston, K. E. (1980). The development of preda- tory aggression and defense in the domes- tic cat (Felis catus): 3. Effects on develop- ment of hunger between 180 and 365 days of age. Behavioral and Neural Biology, 30, 435–447. (11)

Adams, D. B., Gold, A. R., & Burt, A. D. (1978). Rise in female-initiated sexual activity at ovulation and its suppression by oral contra- ceptives. New England Journal of Medicine, 299, 1145–1150. (10)

Adams, R. B., Jr., Gordon, H. L., Baird, A. A., Ambady, N., & Kleck, R. E. (2003). Effects of gaze on amygdala sensitivity to anger and fear faces. Science, 300, 1536. (11)

Adams, R. B., Jr., & Kleck, R. E. (2005). Effects of direct and averted gaze on the perception of facially communicated emotion. Emotion, 5, 3–11. (11)

Addis, D. R., Wong, A. T., & Schacter, D. L. (2007). Remembering the past and imag- ining the future: Common and distinct neural substrates during event construc- tion and elaboration. Neuropsychologia, 45, 1363–1377. (12)

Adkins, E. K., & Adler, N. T. (1972). Hormonal control of behavior in the Japanese quail. Journal of Comparative and Physiological Psychology, 81, 27–36. (10)

Admon, R., Lubin, G., Stern, O., Rosenberg, K., Sela, L., Ben-Ami, H., & Hendler, T. (2009). Human vulnerability to stress depends on amygdala’s predisposition and hippocam- pal plasticity. Proceedings of the National Academy of Sciences (U.S.A.), 106, 14120– 14125. (11)

Adolphs, R., Damasio, H., & Tranel, D. (2002). Neural systems for recognition of emotional prosody: A 3-D lesion study. Emotion, 2, 23–51. (13)

Adolphs, R., Tranel, D., & Buchanan, T. W. (2005). Amygdala damage impairs emo- tional memory for gist but not details of complex stimuli. Nature Neuroscience, 8, 512–518. (11)

Adolphs, R., Tranel, D., Damasio, H., & Damasio, A. (1995). Fear and the human amygdala. Journal of Neuroscience, 15, 5879–5891. (11)

Agarwal, N., Pacher, P., Tegeder, I., Amaya, F., Constantin, C. E., Brenner, G. J.,  .  .  . Kuner, R. (2007). Cannabinoids mediate analge- sia largely via peripheral type 1 canna- binoid receptors in nociceptors. Nature Neuroscience, 10, 870–879. (6)

Aglioti, S., Smania, N., Atzei, A., & Berlucchi, G. (1997). Spatio-temporal properties of the pattern of evoked phantom sensations in a left index amputee patient. Behavioral Neuroscience, 111, 867–872. (4)

Aglioti, S., Smania, N., & Peru, A. (1999). Frames of reference for mapping tactile stimuli in brain-damaged patients. Journal of Cognitive Neuroscience, 11, 67–79. (13)

Agrati, D., Fernández-Guasti, A., Ferreño, M., & Ferreira, A. (2011). Coexpression of sexual behavior and maternal aggression: The ambivalence of sexually active moth- er rats toward male intruders. Behavioral Neuroscience, 125, 446–451. (10)

Ahlskog, J. E., & Hoebel, B. G. (1973). Overeating and obesity from damage to a noradrenergic system in the brain. Science, 182, 166–169. (9)

Ahlskog, J. E., Randall, P. K., & Hoebel, B. G. (1975). Hypothalamic hyperphagia: Dissociation from hyperphagia follow- ing destruction of noradrenergic neurons. Science, 190, 399–401. (9)

Ahmed, E. I., Zehr, J. L., Schulz, K. M., Lorenz, B. H., DonCarlos, L. L., & Sisk, C. L. (2008). Pubertal hormones modulate the addition of new cells to sexually dimorphic brain regions. Nature Neuroscience, 11, 995–997. (10)

Ahmed, I. I., Shryne, J. E., Gorski, R. A., Branch, B. J., & Taylor, A. N. (1991). Prenatal ethanol and the prepubertal sexually dimor- phic nucleus of the preoptic area. Physiology & Behavior, 49, 427–432. (10)

Ahn, W., Flanagan, E. H., Marsh, J. K., & Sanislow, C. A. (2006). Beliefs about essenc- es and the reality of mental disorders. Psychological Science, 17, 759–766. (14)

Airaksinen, M. S., & Saarma, M. (2002). The GDNF family: Signalling, biological func- tions and therapeutic value. Nature Reviews Neuroscience, 3, 383–394. (4)

Airan, R. D., Meltzer, L. A., Roy, M., Gong, Y., Chen, H., & Deisseroth, K. (2007). High- speed imaging reveals neurophysiological links to behavior in an animal model of depression. Science, 317, 819–823. (14)

Airavaara, M., Harvey, B. K., Voutilainen, M. H., Shen, H., Chou, J., Lindholm, P.,  .  .  . Wang, Y. (2012). CDNF protects the nigrostria- tal dopamine system and promotes recov- ery after MPTP treatment in mice. Cell Transplantation, 21, 1213–1223. (7)

Ajina, S., Pestilli, F., Rokem, A., Kennard, C., & Bridge, H. (2015). Human blindsight is mediated by an intact geniculo-extrastriate pathway. eLife, 4, article 08935. (5)

Akers, K. G., Martinez-Canabal, A., Restivo, L., Yiu, A. P., De Cristofaro, A., Hsiang, H.-L.,  .  .  .  Frankland, P. W. (2014). Hippocampal neurogenesis regulates forget- ting during adulthood and infancy. Science, 344, 598–602. (12)

Alagiakrishnan, K., Gill, S. S., & Fagarasanu, A. (2012). Genetics and epigenetics of Alzheimer’s disease. Postgraduate Medical Journal, 88, 522–529. (12)

Alanko, K., Santtila, P., Harlaar, N., Witting, K., Varjonen, M., Jern, P.,  .  .  .  Sandnabba, N. K. (2010). Common genetic effects of gender atypical behavior in childhood and sexual orientation in adulthood: A study of Finnish twins. Archives of Sexual Behavior, 39, 81–92. (10)

Albouy, G., Sterpenich, V., Balteau, E., Vandewalle, G., Desseilles, M., Dang-Vu, T.,  .  .  .  Maquet, P. (2008). Both the hippo- campus and striatum are involved in consol- idation of motor sequence memory. Neuron, 58, 261–272. (12)

Albuquerque, D., Stice, E., Rodríguez-Lopez, R., Manco, L., & Nóbrega, C. (2015). Current review of genetics of human obesity: From molecular mechanisms to an evolution- ary perspective. Molecular Genetics and Genomics, 290, 1191–1221. (9)

Alcuter, S., Lin, W., Smith, J. K., Short, S. J., Goldman, B. D., Reznick, J. S.,  .  .  . Gao, W.

References

08202_ref_ptg01.indd 504 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 505

(2014). Development of thalamocortical connectivity during infancy and its cogni- tive correlations. Journal of Neuroscience, 34, 9067–9075. (4)

Aleman, A., Kahn, R. S., & Selten, J. P. (2003). Sex differences in the risk of schizophrenia. Archives of General Psychiatry, 60, 565–571. (14)

Alexander, G. M., & Hines, M. (2002). Sex differences in response to children’s toys in nonhuman primates (Cercopithecus aethiops sebaeus). Evolution and Human Behavior, 23, 467–479. (10)

Alexander, G. M., Wilcox, T., & Woods, R. (2009). Sex differences in infants’ visual interest in toys. Archives of Sexual Behavior, 38, 427–433. (10)

Al-Karawi, D., & Jubair, L. (2016). Bright light therapy for nonseasonal depression: Meta- analysis of clinical trials. Journal of Affective Disorders, 198, 64–71. (14)

Allen, H. L., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F.,  .  .  .  Hirschhorn, J. N. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature, 467, 832–838. (4)

Allen, J. S., Damasio, H., Grabowski, T. J., Bruss, J., & Zhang, W. (2003). Sexual dimorphism and asymmetries in the gray-white compo- sition of the human cerebrum. NeuroImage, 18, 880–894. (12)

Alleva, E., & Francia, N. (2009). Psychiatric vul- nerability: Suggestions from animal models and role of neurotrophins. Neuroscience and Biobehavioral Reviews, 33, 525–536. (4)

Allison, T., & Cicchetti, D. V. (1976). Sleep in mammals: Ecological and constitutional correlates. Science, 194, 732–734. (8)

Almeida, J., He, D., Chen, Q., Mahon, B. Z., Zhang, F., Gonçalves, Ó. F., … Bi, Y. (2015). Decoding visual location from neural pat- terns in the auditory cortex of the con- genitally deaf. Psychological Science, 26, 1771–1782. (4)

Almli, C. R., Fisher, R. S., & Hill, D. L. (1979). Lateral hypothalamus destruction in infant rats produces consummatory deficits with- out sensory neglect or attenuated arousal. Experimental Neurology, 66, 146–157. (9)

Al-Rashid, R. A. (1971). Hypothalamic syn- drome in acute childhood leukemia. Clinical Pediatrics, 10, 53–54. (9)

Altena, E., Micouland-Franchi, J.-A., Geoffroy, P.-A., Sanz-Arigita, E., Bioulac, S., & Philip, P. (2016). The bidirectional relation between emotional reactivity and sleep: From disrup- tion to recovery. Behavioral Neuroscience, 130, 336–350. (8, 14)

Aman, J. E., Elangovan, N., Yeh, I-L., & Konczak, J. (2015). The effectiveness of proprioceptive training for improving motor function: A systematic review. Frontiers in Human Neuroscience, 8, Article 1075. (4)

Amateau, S. K., & McCarthy, M. M. (2004). Induction of PGE2 by estradiol mediates developmental masculinization of sex

behavior. Nature Neuroscience, 7, 643–650. (10)

American Psychiatric Association. (2013). Diagnostic and statistical manual of men- tal disorders. Washington, DC: American Psychiatric Publishing. (14)

Amiry-Moghaddam, M., & Ottersen, O. P. (2003). The molecular basis of water transport in the brain. Nature Reviews Neuroscience, 4, 991–1001. (1)

Amting, J. M., Greening, S. G., & Mitchell, D. G. V. (2010). Multiple mechanisms of conscious- ness: The neural correlates of emotional awareness. Journal of Neuroscience, 30, 10039–10047. (11)

Anaclet, C., Ferrari, L., Arrigoni, E., Bass, C. E., Saper, C. B., Lu, J., & Fuller, P. M. (2014). GABAergic parafacial zone is a medullary slow wave sleep-promoting center. Nature Neuroscience, 17, 1217–1224. (8)

Anaclet, C., Parmentier, R., Ouk, K., Guidon, G., Buda, C., Sastre, J.-P.,  .  .  .  Ohtsu, H. (2009). Orexin/hypocretin and his- tamine: Distinct roles in the control of wakefulness demonstrated using knock-out mouse models. Journal of Neuroscience, 29, 14423–14438. (8)

Anand, P., & Bley, K. (2011). Topical capsaicin for pain management: Therapeutic potential and mechanisms of action of the new high- concentration capsaicin 8% patch. British Journal of Anaesthesia, 107, 490–502. (6)

Andersen, J. L., Klitgaard, H., & Saltin, B. (1994). Myosin heavy chain isoforms in single fibres from m. vastus lateralis of sprint- ers: Influence of training. Acta Physiologica Scandinavica, 151, 135–142. (7)

Andersen, T. S., Tiippana, K., & Sams, M. (2004). Factors influencing audiovisual fission and fusion illusions. Cognitive Brain Research, 21, 301–308. (3)

Anderson, E., Dryman, M. T., Worthington, J., Hoge, E. A., Fischer, L. E., Pollack, M. H.,  .  .  .  Simon, N. M. (2013). Smiles may go unseen in generalized social anxiety disorder: Evidence from binocular rivalry for reduced visual consciousness of posi- tive facial expressions. Journal of Anxiety Disorders, 27, 619–626. (13)

Anderson, E., Siegel, E. H., & Barrett, L. F. (2011). What you feel influences what you see. The role of affective feelings in resolving binocular rivalry. Journal of Experimental Social Psychology, 47, 856–860. (13)

Anderson, M. A., Burda, J. E., Ren, Y., Ao, Y., O’Shea, T. M., Kawaguchi, R.,  .  .  . Sofroniew, M. V. (2016). Astrocyte scar formation aids central nervous system axon regeneration. Nature, 532, 195–200. (4)

Anderson, S. F., Monroe, S. M., Rohde, P., & Lewinsohn, P. M. (2016). Questioning kin- dling: An analysis of cycle acceleration in unipolar depression. Clinical Psychological Science, 4, 229–238. (14)

Anderson, S., Parbery-Clark, A., White- Schwoch, T., & Kraus, N. (2012). Aging affects neural precision of speech encoding.

Journal of Neuroscience, 32, 14156–14164. (6)

Andics, A., Gábor, A., Gácsi, M., Faragó, T., Szabó, D., & Miklósi, Á. (2016). Neural mechanisms for lexical processing in dogs. Science, 353, 1030–1032. (13)

Andreasen, N. C. (1988). Brain imaging: Applications in psychiatry. Science, 239, 1381–1388. (3)

Andreasen, N. C., Nopoulos, P., Magnotta, V., Pierson, R., Ziebell, S., & Ho, B-C. (2011). Progressive brain change in schizophrenia: A prospective longitudinal study of first- episode schizophrenia. Biological Psychiatry, 70, 672–679. (14)

Andrew, D., & Craig, A. D. (2001). Spinothalamic lamina I neurons selectively sensitive to histamine: A central neural pathway for itch. Nature Neuroscience, 4, 72–77. (6)

Andrews, S. C., Enticott, P. G., Hoy, K. E., Thomson, R. H., & Fitzgerald, P. B. (2015). No evidence for mirror system dysfunc- tion in schizophrenia from a multimodal TMS/EEG study. Psychiatry Research, 228, 431–440. (7)

Andrews, T. J., Halpern, S. D., & Purves, D. (1997). Correlated size variations in human visu- al cortex, lateral geniculate nucleus, and optic tract. Journal of Neuroscience, 17, 2859–2868. (5)

Andrillon, T., Poulsen, A. T., Hansen, L. K., Léger, D., & Kouider, S. (2016). Neural mark- ers of responsiveness to the environment in human sleep. Journal of Neuroscience, 36, 6583–6596. (8)

Antanitus, D. S. (1998). A theory of cortical neu- ron-astrocyte interaction. Neuroscientist, 4, 154–159. (1)

Aoki, Y., & Cortese, S. (2016). Mitochondrial aspartate/glutamate carrier SLC25A12 and autism spectrum disorder: A meta-analysis. Molecular Neurobiology, 53, 1579–1588. (1, 14)

Apostolakis, E. M., Garai, J., Fox, C., Smith, C. L., Watson, S. J., Clark, J. H., & O’Malley, B. W. (1996). Dopaminergic regulation of progesterone receptors: Brain D5 dopa- mine receptors mediate induction of lor- dosis by D1-like agonists in rats. Journal of Neuroscience, 16, 4823–4834. (10)

Appleman, E. R., Albouy, G., Doyon, J., Cronin- Golomb, A., & King, B. R. (2016). Sleep quality influences subsequent motor skill acquisition. Behavioral Neuroscience, 130, 290–297. (8)

Araneda, R. C., Kini, A. D., & Firestein, S. (2000). The molecular receptive range of an odorant receptor. Nature Neuroscience, 3, 1248–1255. (6)

Archer, J. (2000). Sex differences in aggression between heterosexual partners: A meta- analytic review. Psychological Bulletin, 126, 651–680. (11)

Archer, J., Birring, S. S., & Wu, F. C. W. (1998). The association between testosterone and aggression in young men: Empirical findings

08202_ref_ptg01.indd 505 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

506 REFERENCES

and a meta-analysis. Aggressive Behavior, 24, 411–420. (11)

Archer, J., Graham-Kevan, N., & Davies, M. (2005). Testosterone and aggression: A reanalysis of Book, Starzyk, and Quinsey’s (2001) study. Aggression and Violent Behavior, 10, 241–261. (11)

Arcurio, L. R., Gold, J. M., & James, T. W. (2012). The response of face-selective cortex with single face parts and part combina- tions. Neuropsychologia, 50, 2454–2459. (5)

Armstrong, J. B., & Schindler, D. E. (2011). Excess digestive capacity in predators reflects a life of feast and famine. Nature, 476, 84–87. (9)

Arnold, A. P. (2004). Sex chromosomes and brain gender. Nature Reviews Neuroscience, 5, 701–708. (10)

Arnold, A. P. (2009). The organizational-acti- vational hypothesis as the foundation for a unified theory of sexual differentiation of all mammalian tissues. Hormones and Behavior, 55, 570–578. (10)

Arnold, A. P., & Breedlove, S. M. (1985). Organizational and activational effects of sex steroids on brain and behavior: A reanalysis. Hormones and Behavior, 19, 469–498. (10)

Arnsten, A. F. T. (2015). Stress weakens pre- frontal networks: Molecular insults to higher cognition. Nature Neuroscience, 18, 1376–1385. (11)

Arvidson, K., & Friberg, U. (1980). Human taste: Response and taste bud number in fungiform papillae. Science, 209, 807–808. (6)

Asai, M., Ramachandrappa, S., Joachim, M., Shen, Y., Zhang, R., Nuthalapati, N.,  .  .  . Majzoub, J. A. (2013). Loss of func- tion of the melanocortin 2 receptor acces- sory protein 2 is associated with mammalian obesity. Science, 341, 275–278. (9)

Ascoli, G. A. (2015). Trees of the brain, roots of the mind. Cambridge, MA: MIT Press. (1, 12)

Aserinsky, E., & Kleitman, N. (1955). Two types of ocular motility occurring in sleep. Journal of Applied Physiology, 8, 1–10. (8)

Ashmore, L. J., & Sehgal, A. (2003). A fly’s eye view of circadian entrainment. Journal of Biological Rhythms, 18, 206–216. (8)

Aston-Jones, G., Chen, S., Zhu, Y., & Oshinsky, M. L. (2001). A neural circuit for circadian regulation of arousal. Nature Neuroscience, 4, 732–738. (8)

Athos, E. A., Levinson, B., Kistler, A., Zemansky, J., Bostrom, A., Freimer, N., & Gitschier, J. (2007). Dichotomy and perceptual distor- tions in absolute pitch ability. Proceedings of the National Academy of Sciences, USA, 104, 14795–14800. (6)

Attardo, A., Fitzgerald, J. E., & Schnitzer, M. J. (2015). Impermanence of dendritic spines in live adult CA1 hippocampus. Nature, 523, 592–596. (12)

Audero, E., Mlinar, B., Baccini, G., Skachokova, Z. K., Corradetti, R., & Gross, C. (2013). Suppression of serotonin neuron firing increases aggression in mice. Journal of Neuroscience, 33, 8678–8688. (11)

Avena, N. M., Rada, P., & Hoebel, B. G. (2008). Evidence for sugar addiction: Behavioral and neurochemical effects of intermittent, excessive sugar intake. Neuroscience and Biobehavioral Reviews, 32, 20–39. (9)

Aviezer, H., Trope, Y., & Todorov, A. (2012). Body cues, not facial expressions, discrimi- nate between intense positive and negative emotions. Science, 338, 1225–1229. (11)

Avinun, R., Ebstein, R. P., & Knafo, A. (2012). Human maternal behaviour is associated with arginine vasopressin receptor 1A gene. Biology Letters, 8, 894–896. (10)

Avrabos, C., Sonikov, S. V., Dine, J., Markt, P. O., Holsboer, F., Landgraf, R., & Eder, M. (2013). Real-time imaging of amygdalar network dynamics in vitro reveals a neu- rophysiological link to behavior in a mouse model of extremes in trait anxiety. Journal of Neuroscience, 33, 16262–16267. (11)

Babich, F. R., Jacobson, A. L., Bubash, S., & Jacobson, A. (1965). Transfer of a response to naive rats by injection of ribonucleic acid extracted from trained rats. Science, 149, 656–657. (12)

Babikian, T., Merkley, T., Savage, R. C., Giza, C. C., & Levin, H. (2015). Chronic aspects of pediatric traumatic brain injury: Review of the literature. Journal of Neurotrauma, 32, 1849–1860. (4)

Backlund, E.-O., Granberg, P.-O., Hamberger, B., Sedvall, G., Seiger, A., & Olson, L. (1985). Transplantation of adrenal medullary tissue to striatum in Parkinsonism. In A. Björklund & U. Stenevi (Eds.), Neural grafting in the mam- malian CNS (pp. 551–556). Amsterdam: Elsevier. (7)

Bäckman, J., & Alerstam, T. (2001). Confronting the winds: Orientation and flight behavior of roosting swifts, Apus apus. Proceedings of the Royal Society of London. Series B—Biological Sciences, 268, 1081–1087. (8)

Baddeley, A. D., & Hitch, G. J. (1994). Developments in the concept of working memory. Neuropsychology, 8, 485–493. (12)

Baer, J. S., Sampson, P. D., Barr, H. M., Connor, P. D., & Streissguth, A. P. (2003). A 21-year longitudinal analysis of the effects of prena- tal alcohol exposure on young adult drink- ing. Archives of General Psychiatry, 60, 377–385. (14)

Bagemihl, B. (1999). Biological exuberance. New York: St. Martin’s Press. (10)

Baghdoyan, H. A., Spotts, J. L., & Snyder, S. G. (1993). Simultaneous pontine and basal fore brain microinjections of carbachol suppress REM sleep. Journal of Neuroscience, 13, 229–242. (8)

Bailey, C. H., Giustetto, M., Huang, Y.-Y., Hawkins, R. D., & Kandel, E. R. (2000). Is heterosynaptic modulation essential for stabilizing Hebbian plasticity and memory? Nature Reviews Neuroscience, 1, 11–20. (12)

Bailey, J. M., & Pillard, R. C. (1991). A genetic study of male sexual orientation. Archives of General Psychiatry, 48, 1089–1096. (10)

Bailey, J. M., Pillard, R. C., Dawood, K., Miller, M. B., Farrer, L. A., Trivedi, S., & Murphy, R. L. (1999). A family history study of male sexual orientation using three independent samples. Behavior Genetics, 29, 79–86. (10)

Bailey, J. M., Pillard, R. C., Neale, M. C., & Agyei, Y. (1993). Heritable factors influence sexual orientation in women. Archives of General Psychiatry, 50, 217–223. (10)

Bailey, J. M., Vasey, P. L., Diamond, L. M., Breedlove, S. M., Vilain, E., & Epprecht, M. (2016). Sexual orientation, controversy, and science. Psychological Science in the Public Interest, 17, 45–101. (10)

Bailey, J. M., Willerman, L., & Parks, C. (1991). A test of the maternal stress theory of human male homosexuality. Archives of Sexual Behavior, 20, 277–293. (10)

Baillargeon, R. (1987). Object perma- nence in 3½- and 4½-month-old infants. Developmental Psychology, 23, 655–664. (5)

Bakken, T. E., Miller, J. A., Ding, S.-L., Sunkin, S. M., Smith, K. A., Ng, L.,  .  .  .  Lein, E. S. (2016). A comprehensive transcriptional map of primate brain development. Nature, 535, 367–375. (12)

Bakken, T. E., Roddey, J. C., Djurovic, S., Akshoomoff, N., Amaral, D. G., Bloss, C. S., . . . Dale, A. M. (2012). Association of common genetic variants in GPCPD1 with scaling of visual cortical surface in humans. Proceedings of the National Academy of Sciences (U.S.A.), 109, 3985–3990. (5)

Bakker, J., De Mees, C., Douhard, Q., Balthazart, J., Gabant, P., Szpirer, J., & Szpirer, C. (2006). Alpha-fetoprotein protects the developing female mouse brain from masculinization and defeminization by estrogens. Nature Neuroscience, 9, 220–226. (10)

Bakker, J., Honda, S.-I., Harada, N., & Balthazart, J. (2002). The aromatase knock- out mouse provides new evidence that estradiol is required during development in the female for the expression of socio- sexual behaviors in adulthood. Journal of Neuroscience, 22, 9104–9112. (10)

Ballard, P. A., Tetrud, J. W., & Langston, J. W. (1985). Permanent human Parkinsonism due to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyri- dine (MPTP). Neurology, 35, 949–956. (7)

Balleine, B. W., Delgado, M. R., & Hikosaka, O. (2007). The role of the dorsal striatum in reward and decision-making. Journal of Neuroscience, 27, 8161–8165. (12)

Ballon, J. S., Dean, K. A., & Cadenhead, K. S. (2007). Obstetrical complications in peo- ple at risk for developing schizophrenia. Schizophrenia Research, 98, 307–311. (14)

Banks, W. P., & Isham, E. A. (2009). We infer rather than perceive the moment we decided to act. Psychological Science, 20, 17–21. (7)

Barbour, D. L., & Wang, X. (2003). Contrast tuning in auditory cortex. Science, 299, 1073–1075. (6)

Bargary, G., Barnett, K. J., Mitchell, K. J., & Newell, F. N. (2009). Colored-speech syn- aesthesia is triggered by multisensory,

08202_ref_ptg01.indd 506 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 507

not unisensory, perception. Psychological Science, 20, 529–533. (6)

Barger, L. K., Sullivan, J. P., Vincent, A. S., Fiedler, E. R., McKenna, L. M., Flynn-Evans, E. E., . . . Lockley, S. W. (2012). Learning to live on a Mars day: Fatigue countermeasures during the Phoenix Mars Lander Mission. Sleep, 35, 1423–1435. (8)

Barnea, G., O’Donnell, S., Mancia, F., Sun, X., Nemes, A., Mendelsohn, M., & Axel, R. (2004). Odorant receptors on axon ter- mini in the brain. Science, 304, 1468. (6)

Barnes, B. M. (1996, September/October). Sang froid. The Sciences, 36(5), 13–14. (8)

Barnett, K. J., Finucane, C., Asher, J. E., Bargary, G., Corvin, A. P., Newell, F. N., & Mitchell, K. J. (2008). Familial patterns and the origins of individual differences in synaesthesia. Cognition, 106, 871–893. (6)

Barrett, L. F. (2012). Emotions are real. Emotion, 12, 413–429. (11)

Barrett, L. F., Bliss-Moreau, E., Duncan, S. L., Rauch, S. L., & Wright, C. I. (2007). The amygdala and the experience of affect. Social Cognitive & Affective Neuroscience, 2, 73–83. (11)

Barrett, L. F., & Simmons, W. K. (2015). Interoceptive predictions in the brain. Nature Reviews Neuroscience, 16, 419–429. (7)

Barretto, R. P. J., Gillis-Smith, S., Chandrashekar, J., Yarmolinsky, D. A., Schnitzer, M. J., Ryba, N. J. P., & Zuker, C. S. (2015). The neural representation of taste quality at the periph- ery. Nature, 517, 373–376. (6)

Barrientos, R. M., Frank, M. G., Crysdale, N. Y., Chapman, T. R., Ahrendsen, J. T., Day, H. E. W.,  .  .  .  Maier, S. F. (2011). Little exercise, big effects: Reversing aging and infection-induced memory defi- cits, and underlying processes. Journal of Neuroscience, 31, 115778–11586. (4)

Barton, D. A., Esler, M. D., Dawood, T., Lambert, E. A., Haikerwal, D., Brenchley, C.,  .  .  .  Lambert, G. W. (2008). Elevated brain serotonin turnover in patients with depression. Archives of General Psychiatry, 65, 38–46. (14)

Bartoshuk, L. M. (1991). Taste, smell, and plea- sure. In R. C. Bolles (Ed.), The hedonics of taste (pp. 15–28). Hillsdale, NJ: Erlbaum. (6)

Bartoshuk, L. M., Gentile, R. L., Moskowitz, H. R., & Meiselman, H. L. (1974). Sweet taste induced by miracle fruit (Synsephalum dulci- ficum). Physiology & Behavior, 12, 449–456. (6)

Bartz, J. A., Simeon, D., Hamilton, H., Kim, S., Crystal, S., Braun, A., Vicens, V., & Hollander, E. (2011). Oxytocin can hin- der trust and cooperation in borderline personality disorder. Social, Cognitive, and Affective Neuroscience, 6, 556–563. (13)

Barzilai, N., Alzmon, G., Derby, C. A., Bauman, J. M., & Lipton, R. B. (2006). A geno- type of exceptional longevity is associated with preservation of cognitive function. Neurology, 67, 2170–2175. (4)

Bashford, J. A., Warren, R. M., & Lenz, P. W. (2013). Maintaining intelligibility at high

speech intensities: Evidence of lateral inhibi- tion in the lower auditory pathway. Journal of the Acoustical Society of America, 134, EL119–EL125. (5)

Basten, U., Hilger, K., & Fiebach, C. J. (2015). Where smart brains are different: A quanti- tative meta-analysis of functional and struc- tural brain imaging studies on intelligence. Intelligence, 51, 10–27. (12)

Bate, S., Cook, S. J., Duchaine, B., Tree, J. J., Burns, E. J., & Hodgson, T. L. (2014). Intranasal inhalation of oxytocin improves face processing in developmental prosopag- nosia. Cortex, 50, 55–63. (13)

Bates, T. C., Lewis, G. J., & Weiss, A. (2013). Childhood socioeconomic status ampli- fies genetic effects on adult intelligence. Psychological Science, 24, 2111–2116. (12)

Battersby, S. (1997). Plus c’est le même chews. Nature, 385, 679. (9)

Battleday, R. M., & Brem, A.-K. (2015). Modafinil for cognitive neuroenhancement in healthy non-sleep-deprived subjects: A systematic review. European Neuropsychopharmacology, 25, 1865–1881. (12)

Baum, A., Gatchel, R. J., & Schaeffer, M. A. (1983). Emotional, behavioral, and physi- ological effects of chronic stress at Three Mile Island. Journal of Consulting and Clinical Psychology, 51, 565–582. (11)

Bauman, M. D., Iosif, A.-M., Ashwood, P., Braunschweig, D., Lee, A., Schumann, C. M.,  .  .  .  Amaral, D. G. (2013). Maternal antibodies from mothers of children with autism alter brain growth and social behav- ior development in the rhesus monkey. Translational Psychiatry, 3, e278. (14)

Baumann, O., Borra, R. J., Bower, J. M., Cullen, K. E., Habas, C., Ivry, R. B.,  .  .  .  Sokolov, A. A. (2015). Consensus paper: The role of the cerebellum in perceptual processes. Cerebellu, 14, 197–220. (7)

Bautista, D. M., Sigal, Y. M., Milstein, A. D., Garrison, J. L., Zorn, J. A., Tsuruda, P. R., . . . Julius, D. (2008). Pungent agents from Szechuan peppers excite sensory neurons by inhibiting two-pore potas- sium channels. Nature Neuroscience, 11, 772–779. (6)

Baxter, L. R., Phelps, M. E., Mazziotta, J. C., Schwartz, J. M., Gerner, R. H., Selin, C. E., & Sumida, R. M. (1985). Cerebral metabolic rates for glucose in mood dis- orders. Archives of General Psychiatry, 42, 441–447. (14)

Bayley, P. J., Frascino, J. C., & Squire, L. R. (2005). Robust habit learning in the absence of awareness and independent of the medial temporal lobe. Nature, 436, 550–553. (12)

Bayley, P. J., Hopkins, R. O., & Squire, L. R. (2006). The fate of old memories after medial temporal lobe damage. Journal of Neuroscience, 26, 13311–13317. (12)

Baylis, G. C., & Driver, J. (2001). Shape-coding in IT cells generalizes over contrast and mir- ror reversal but not figure-ground reversal. Nature Neuroscience, 4, 937–942. (5)

Beall, A. T., & Tracy, J. L. (2013). Women are more likely to wear red or pink at peak fertil- ity. Psychological Science, 24, 1837–1841. (10)

Beaton, E. A., Schmidt, L. A., Schulkin, J., Antony, M. M., Swinson, R. P., & Hall, G. B. (2008). Different neural responses to stranger and personally familiar faces in shy and bold adults. Behavioral Neuroscience, 122, 704–709. (11)

Beauchamp, M. S., & Ro, T. (2008). Neural substrates of sound-touch synesthesia after a thalamic lesion. Journal of Neuroscience, 28, 13696–13702. (6)

Beck, A. T., & Bredemeier, K. (2016). A unified model of depression: Integrating clinical, cognitive, biological, and evolutionary per- spectives. Clinical Psychological Science, 4, 596–619. (14)

Beck, K., Javitt, D. C., & Howes, O. D. (2016). Targeting glutamate to treat schizophre- nia: Lessons from recent clinical studies. Psychopharmacology, 233, 2425–2428. (14)

Beck, S., Richardson, S. P., Shamin, E. A., Dang, N., Schubert, M., & Hallett, M. (2008). Short intracortical and surround inhibition are selectively reduced during movement initiation in focal hand dystonia. Journal of Neuroscience, 28, 10363–10369. (4)

Becker, H. C. (1988). Effects of the imidazo- benzodiazepine Ro15-4513 on the stimulant and depressant actions of ethanol on spon- taneous locomotor activity. Life Sciences, 43, 643–650. (11)

Becker, H. G. T., Haarmeier, T., Tatagiba, M., & Gharabaghi, A. (2013). Electrical stimula- tion of the human homolog of the medial superior temporal area induces visual motion blindness. Journal of Neuroscience, 33, 18288–18297. (5)

Becks, L., & Agrawal, A. F. (2010). Higher rates of sex evolve in spatially heterogeneous environments. Nature, 468, 89–92. (10)

Bedny, M., Richardson, H., & Saxe, R. (2015). “Visual” cortex responds to spoken language in blind children. Journal of Neuroscience, 35, 11674–11681. (4)

Beebe, D. W., & Gozal, D. (2002). Obstructive sleep apnea and the prefrontal cortex: Towards a comprehensive model linking nocturnal upper airway obstruction to daytime cognitive and behavioral deficits. Journal of Sleep Research, 11, 1–16. (8)

Beeman, M. J., & Chiarello, C. (1998). Complementary right- and left-hemisphere language comprehension. Current Directions in Psychological Science, 7, 2–8. (13)

Beeney, J. E., Franklin, R. G. Jr., Levy, K. N., & Adams, R. B. Jr. (2011). I feel your pain: Emotional closeness modulates neural responses to empathically experienced rejec- tion. Social Neuroscience, 6, 369–376. (13)

Bélanger, M., Allaman, I., & Magistretti, P. J. (2011). Brain energy metabolism: Focus on astrocyte-neuron metabolic cooperation. Cell Metabolism, 14, 724–738. (1)

Bellugi, U., Lichtenberger, L., Jones, W., Lai, Z., & St. George, M. (2000). I. The

08202_ref_ptg01.indd 507 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

508 REFERENCES

neurocognitive profile of Williams syn- drome: A complex pattern of strengths and weaknesses. Journal of Cognitive Neuroscience, 12(Suppl.), 7–29. (13)

Belsky, D. W., Moffitt, T. E., Corcoran, D. L., Domingue, B., Harrington, H. L., Hogan, S.,  .  .  .  Caspi, A. (2016). The genetics of success: How single-nucleotide polymor- phisms associated with educational attain- ment relate to life-course development. Psychological Science, 27, 957–972. (12)

Ben Achour, S., & Pascual, O. (2012). Astrocyte- neuron communication: Functional con- sequences. Neurochemical Research, 37, 2464–2473. (1)

Ben-Ami Bartal, I., Rodgers, D. A., Sarria, M. S. B., Decety, J., & Mason, P. (2014). Pro-social behavior in rats is modulated by social expe- rience. eLife, 3, e01385. (13)

Benedetti, F., Arduino, C., & Amanzio, M. (1999). Somatotopic activation of opioid systems by target-directed expectations of analgesia. Journal of Neuroscience, 19, 3639–3648. (6)

Benedetti, F., & Colombo, C. (2011). Sleep depri- vation in mood disorders. Neuropsychobiology, 64, 141–151. (14)

Benros, M. E., Pedersen, M. G., Rasmussen, H., Eaton, W. W., Nordentoft, M., & Mortensen, P. B. (2014). A nationwide study on the risk of autoimmune diseases in individuals with a personal or a family history of schizophre- nia and related psychosis. American Journal of Psychiatry, 171, 218–226. (14)

Benschop, R. J., Godaert, G. L. R., Geenen, R., Brosschot, J. F., DeSmet, M. B. M., Olff, M.,  .  .  . Ballieux, R. E. (1995). Relationships between cardiovascular and immunologic changes in an experimental stress model. Psychological Medicine, 25, 323–327. (11)

Berdoy, M., Webster, J. P., & Macdonald, D. W. (2000). Fatal attraction in rats infected with Toxoplasma gondii. Proceedings of the Royal Society of London, B, 267, 1591–1594. (11)

Berenbaum, S. A. (1999). Effects of early androgens on sex-typed activities and inter- ests in adolescents with congenital adrenal hyperplasia. Hormones and Behavior, 35, 102–110. (10)

Berenbaum, S. A., Bryk, K. L. K., & Beltz, A. M. (2012). Early androgen effects on spatial and mechanical abilities: Evidence from congenital adrenal hyperplasia. Behavioral Neuroscience, 126, 86–96. (10)

Berenbaum, S. A., Duck, S. C., & Bryk, K. (2000). Behavioral effects of prenatal versus postnatal androgen excess in children with 21-hydrox- ylase-deficient congenital adrenal hyper- plasia. Journal of Clinical Endocrinology & Metabolism, 85, 727–733. (10)

Berger, R. J., & Phillips, N. H. (1995). Energy conservation and sleep. Behavioural Brain Research, 69, 65–73. (8)

Berger-Sweeney, J., & Hohmann, C. F. (1997). Behavioral consequences of abnormal corti- cal development: Insights into developmen- tal disabilities. Behavioural Brain Research, 86, 121–142. (4)

Bergh, C., Callmar, M., Danemar, S., Hölcke, M., Isberg, S., Leon, M.,  .  .  .  Södersten, P. (2013). Effective treatment of eating dis- orders: Results at multiple sites. Behavioral Neuroscience, 127, 878–889. (9)

Bergmann, O., Bhardwaj, R. D., Bernard, S., Zdunek, S., Barnabé-Heider, F., Walsh, S., . . . Druid, H. (2009). Evidence for cardio- myocyte renewal in humans. Science, 324, 98–102. (4)

Bergmann, O., Liebl, J., Bernard, S., Alkass, K., Yeung, M. S. Y., Steier, P.,  .  .  .  Frisén, J. (2012). The age of olfactory bulb neurons in humans. Neuron, 74, 634–639. (4)

Berken, J. A., Chai, X., Chen, J.-K., Gracco, V. L., & Klein, D. (2016). Effects of early and late bilingualism on resting-state functional connectivity. Journal of Neuroscience, 36, 1165–1172. (13)

Berlucchi, G., Mangun, G. R., & Gazzaniga, M. S. (1997). Visuospatial attention and the split brain. News in Physiological Sciences, 12, 226–231. (13)

Berman, K. F., Torrey, E. F., Daniel, D. G., & Weinberger, D. R. (1992). Regional cerebral blood flow in monozygotic twins discor- dant and concordant for schizophrenia. Archives of General Psychiatry, 49, 927–934. (14)

Bernal, D., Donley, J. M., Shadwick, R. E., & Syme, D. A. (2005). Mammal-like muscles power swimming in a cold-water shark. Nature, 437, 1349–1352. (9)

Berntsen, D., & Rubin, D. C. (2015). Pretraumatic stress reactions in sol- diers deployed to Afghanistan. Clinical Psychological Science, 3, 663–674.

Berntson, G. G., Bechara, A., Damasio, H., Tranel, D., & Cacioppo, J. T. (2007). Amygdala contribution to selective dimen- sions of emotion. Social Cognitive & Affective Neuroscience, 2, 123–129. (11)

Berryhill, M. E., Phuong, L., Picasso, L., Cabeza, R., & Olson, I. R. (2007). Parietal lobe and episodic memory: Bilateral damage causes impaired free recall of autobiographi- cal memory. Journal of Neuroscience, 27, 14415–14423. (12)

Berson, D. M., Dunn, F. A., & Takao, M. (2002). Phototransduction by retinal ganglion cells that set the circadian clock. Science, 295, 1070–1073. (8)

Beuming, T., Kniazeff, J., Bergmann, M. L., Shi, L., Gracia, L., Raniszewska, K.,  .  .  .  Loland, C. J. (2008). The binding sites for cocaine and dopamine in the dopamine transporter overlap. Nature Neuroscience, 11, 780–789. (2)

Bezzola, L., Mérillat, S., Gaser, C., & Jäncke, L. (2011). Training-induced neural plasticity in golf novices. Journal of Neuroscience, 31, 12444–12448. (4)

Bian, L., Hanson, R. L., Ossowski, V., Wiedrich, K., Mason, C. C., Traurig, M.,  .  .  . Bogardus, C. (2010). Variants in ASK1 are associated with skeletal muscle ASK1 expression, in vivo insulin resistance, and Type 2 diabetes in Pima Indians. Diabetes, 59, 1276–1282. (9)

Biben, M. (1979). Predation and predatory play behaviour of domestic cats. Animal Behaviour, 27, 81–94. (11)

Bickart, K. C., Wright, C. I., Dautoff, R. J., Dickerson, B. C., & Barrett, L. F. (2011). Amygdala volume and social network size in humans. Nature Neuroscience, 14, 163–164. (3)

Bidelman, G. M., & Alain, C. (2015). Musical training orchestrates coordinated neuro- plasticity in auditory brainstem and cor- tex to counteract age-related declines in categorical vowel perception. Journal of Neuroscience, 35, 1240–1249. (4)

Bierut, L. J., Heath, A. C., Bucholz, K. K., Dinwiddie, S. H., Madden, P. A. F., Statham, D. J., . . . Martin, N. G. (1999). Major depres- sive disorder in a community-based twin sample. Archives of General Psychiatry, 56, 557–563. (14)

Bilalic, M., Langner, R., Ulrich, R., & Grodd, W. (2011). Many faces of expertise: Fusiform face area in chess experts and novices. Journal of Neuroscience, 31, 10206–10214. (5)

Billington, C. J., & Levine, A. S. (1992). Hypothalamic neuropeptide Y regulation of feeding and energy metabolism. Current Opinion in Neurobiology, 2, 847–851. (9)

Bimler, D., & Kirkland, J. (2009). Colour-space distortion in women who are heterozygous for colour deficiency. Vision Research, 49, 536–543. (5)

Bird, A. (2007). Perceptions of epigenetics. Nature, 447, 396–398. (4)

Bishop, E. G., Cherny, S. S., Corley, R., Plomin, R., DeFries, J. C., & Hewitt, J. K. (2003). Development genetic analysis of general cognitive ability from 1 to 12 years in a sample of adoptees, biological siblings, and twins. Intelligence, 31, 31–49. (12)

Biss, R. K., & Hasher, L. (2012). Happy as a lark: Morning-type younger and older people are higher in positive affect. Emotion, 12, 437–441. (8)

Bjork, J. M., & Pardini, D. A. (2015). Who are those “risk-taking adolescents”? Individual differences in developmental neuroimag- ing research. Developmental Cognitive Neuroscience, 11, 56–64. (4)

Bjorklund, A., & Kordower, J. H. (2013). Cell therapy for Parkinson’s disease: What next? Movement Disorders, 28, 110–115. (7)

Björnsdotter, M., Löken, L., Olausson, H., Vallbo, Å., & Wessberg, J. (2009). Somatotopic organization of gentle touch processing in the posterior insular cortex. Journal of Neuroscience, 29, 9314–9320. (6)

Blackless, M., Charuvastra, A., Derryck, A., Fausto-Sterling, A., Lauzanne, K., & Lee, E. (2000). How sexually dimorphic are we? Review and synthesis. American Journal of Human Biology, 12, 151–166. (10)

Blackwell, A., & Bates, E. (1995). Inducing agrammatic profiles in normals: Evidence for the selective vulnerability of morphology under cognitive resource limitation. Journal of Cognitive Neuroscience, 7, 228–257. (13)

08202_ref_ptg01.indd 508 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 509

Blackwell, T., Yaffe, K., Laffan, A., Ancoli-Israel, S., Redline, S., Ensrud, K. E., . . . Stone, K. L. (2014). Associations of objectively and sub- jectively measured sleep quality with subse- quent cognitive decline in older community- dwelling men: The MrOS sleep study. Sleep, 37, 655–663. (8)

Blake, R., & Hirsch, H. V. B. (1975). Deficits in binocular depth perception in cats after alternating monocular deprivation. Science, 190, 1114–1116. (5)

Blake, R., Palmeri, T. J., Marois, R., & Kim, C.-Y. (2005). On the perceptual reality of synesthetic color. In L. C. Robertson & N. Sagiv (Eds.), Synesthesia (pp. 47–73). Oxford, England: Oxford University Press. (6)

Blakemore, S.-J., Wolpert, D. M., & Frith, C. D. (1998). Central cancellation of self-pro- duced tickle sensation. Nature Neuroscience, 1, 635–640. (6)

Blanchard, R. (2008). Review and theory of handedness, birth, order, and homosexuality in men. Laterality, 13, 51–70. (10)

Blanco, M. B., & Zehr, S. M. (2015). Striking longevity in a hibernating lemur. Journal of Zoology, 296, 177–188. (8)

Blanke, O. (2012). Multisensory brain mecha- nisms of bodily self-consciousness. Nature Reviews Neuroscience, 13, 556–571. (3)

Bliss, T. V., Collingridge, G. L., Kaang, B.-K., & Zhuo, M. (2016). Synaptic plasticity in the anterior cingulate in acute and chronic pain. Nature Reviews Neuroscience, 17, 485–496. (6)

Bliss, T. V. P., & Lømo, T. (1973). Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rab- bit following stimulation of the perforant path. Journal of Physiology (London), 232, 331–356. (12)

Bloch, G., Barnes, B. M., Gerkema, M. P., & Helm, B. (2013). Animal activity around the clock with no overt circadian rhythms: patterns, mechanisms and adaptive value. Proceedings of the Royal Society B, 280, 20130019. (8)

Bloch, G. J., & Mills, R. (1995). Prepubertal tes- tosterone treatment of neonatally gonadec- tomized male rats: Defeminization and mas- culinization of behavioral and endocrine function in adulthood. Neuroscience and Biobehavioral Reviews, 59, 187–200. (10)

Bloch, G. J., Mills, R., & Gale, S. (1995). Prepubertal testosterone treatment of female rats: Defeminization of behavior- al and endocrine function in adulthood. Neuroscience and Biobehavioral Reviews, 19, 177–186. (10)

Bobrow, D., & Bailey, J. M. (2001). Is male homosexuality maintained via kin selec- tion? Evolution and Human Behavior, 22, 361–368. (10)

Bock, A. S., Binda, P., Benson, N. C., Bridge, H., Watkins, K. E., & Fine, I. (2015). Resting-state retinotopic organization in the absence of retinal input and visual experience. Journal of Neuroscience, 35, 12366–12382. (5)

Boekel, W., Wagenmakers, E. J., Belay, L., Verhagen, J., Brown, S., & Forstmann, B. U.

(2015). A purely confirmatory replication study of structural brain-behavior correla- tions. Cortex, 66, 115–133. (3)

Boets, B., Op de Beeck, H. P., Vandermosten, M., Scott, S. K., Gillebert, C. R., Mantini, D., . . . Ghesquière, P. (2013). Intact but less accessible phonetic representations in adults with dyslexia. Science, 342, 1251–1254. (13)

Bogaert, A. F. (2003a). The interaction of fra- ternal birth order and body size in male sexual orientation. Behavioral Neuroscience, 117, 381–384. (10)

Bogaert, A. F. (2003b). Number of older broth- ers and sexual orientation: New tests and the attraction/behavior distinction in two national probability samples. Journal of Personality and Social Psychology, 84, 644–652. (10)

Bogaert, A. F. (2006). Biological versus non- biological older brothers and men’s sexual orientation. Proceedings of the National Academy of Sciences, USA, 103, 10771– 10774. (10)

Bogaert, A. F. (2010). Physical development and sexual orientation in men and women: An analysis of NATSAL-2000. Archives of Sexual Behavior, 39, 110–116. (10)

Boivin, D. B., Duffy, J. F., Kronauer, R. E., & Czeisler, C. A. (1996). Dose-response rela- tionships for resetting of human circadian clock by light. Nature, 379, 540–542. (8)

Boksem, M. A. S., Mehta, P. H., Van den Bergh, B., van Son, V., Trautmann, S. T., Roelofs, K.,  .  .  .  Sanfey, A. G. (2013). Testosterone inhibits trust but promotes reciprocity. Psychological Science, 24, 22306–22314. (11)

Boly, M., Perlbarg, V., Marrelec, G., Schabus, M., Laureys, S., Doyon, J.,  .  .  .  Benali, H. (2012). Hierarchical clustering of brain activ- ity during human nonrapid eye movement sleep. Proceedings of the National Academy of Sciences (U.S.A.), 109, 5856–5861. (8)

Bonath, B., Noesselt, T., Martinez, A., Mishra, J., Schwiecker, K., Heinze, H.-J., & Hillyard, S. A. (2007). Neural basis of the ventriloquist illusion. Current Biology, 17, 1697–1703. (3)

Bonini, F., Burle, B., Liégois-Chauvel, C., Régis, J., Chauvel, P., & Vidal, F. (2014). Action monitoring and medial frontal cortex: Leading role of supplementary motor area. Science, 343, 888–891. (7)

Bonneh, Y. S., Cooperman, A., & Sagi, D. (2001). Motion-induced blindness in normal observers. Nature, 411, 798–801. (13)

Bonner, M. F., & Grossman, M. (2012). Gray matter density of auditory association cor- tex relates to knowledge of sound concepts in primary progressive aphasia. Journal of Neuroscience, 32, 7986–7991. (6)

Booth, F. W., & Neufer, P. D. (2005, January/ February). Exercise controls gene expres- sion. American Scientist, 93, 28–35. (7)

Booth, W., Johnson, D. H., Moore, S., Schal, C., & Vargo, E. L. (2011). Evidence for viable, non-clonal but fatherless Boa constrictors. Biology Letters, 7, 253–256. (10)

Borisovska, M., Bensen, A. L., Chong, G., & Westbrook, G. L. (2013). Distinct modes

of dopamine and GABA release in a dual transmitter neuron. Journal of Neuroscience, 33, 1790–1796. (2)

Born, S., Levit, A., Niv, M. Y., Meyerhof, W., & Belvens, M. (2013). The human bitter taste receptor TAS2R10 is tailored to accommo- date numerous diverse ligands. Journal of Neuroscience, 33, 201–213. (6)

Borodinsky, L. N., Root, C. M., Cronin, J. A., Sann, S. B., Gu, X., & Spitzer, N. C. (2004). Activity-dependent homeostatic specifica- tion of transmitter expression in embryonic neurons. Nature, 429, 523–530. (2)

Borsutzky, S., Fujiwara, E., Brand, M., & Markowitsch, H. J. (2008). Confabulations in alcoholic Korsakoff patients. Neuropsychologia, 46, 3133–3143. (12)

Bortolotti, B., Menchetti, M., Bellini, F., Montaguti, M. B., & Berardi, D. (2008). Psychological interventions for major depression in primary care: A meta- analytic review of randomized controlled trials. General Hospital Psychiatry, 30, 293– 302. (14)

Bouchard, T. J., Jr., & McGue, M. (1981). Familial studies of intelligence: A review. Science, 212, 1055–1059. (12)

Boucsein, K., Weniger, G., Mursch, K., Steinhoff, B. J., & Irle, E. (2001). Amygdala lesion in temporal lobe epilepsy subjects impairs associative learning of emotional facial expressions. Neuropsychologia, 39, 231–236. (11)

Bourane, S., Duan, B., Koch, S. C., Dalet, A., Britz, O., Garcia-Campmany, L., Kim, E.,  .  .  .  Goulding, M. (2015). Gate control of mechanical itch by a subpopulation of spinal cord interneurons. Science, 350, 550–554. (6)

Bourgeron, T. (2015). From the genetic archi- tecture to synaptic plasticity in autism spec- trum disorder. Nature Reviews Neuroscience, 16, 551–563. (14)

Bourque, C. W. (2008). Central mechanisms of osmosensation and systemic osmoreg- ulation. Nature Reviews Neuroscience, 9, 519–531. (9)

Bouton, C. E., Shaikhouni, A., Annetta, N. V., Bockbrader, M. A., Friedenberg, D. A., Nielson, D. M.,  .  .  .  Rezai, A. R. (2016). Restoring cortical control of functional movement in a human with quadriplegia. Nature, 533, 247–250. (7)

Boutrel, B., Franc, B., Hen, R., Hamon, M., & Adrien, J. (1999). Key role of 5-HT1B recep- tors in the regulation of paradoxical sleep as evidenced in 5-HT1B knock-out mice. Journal of Neuroscience, 19, 3204–3212. (8)

Bowles, S. (2006). Group competition, repro- ductive leveling, and the evolution of human altruism. Science, 314, 1569–1572. (4)

Bowles, S., & Posel, B. (2005). Genetic related- ness predicts South African migrant work- ers’ remittances to their families. Nature, 434, 380–383. (1)

Bowmaker, J. K. (1998). Visual pigments and molecular genetics of color blindness. News in Physiological Sciences, 13, 63–69. (5)

08202_ref_ptg01.indd 509 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

510 REFERENCES

Bowmaker, J. K. (2008). Evolution of verte- brate visual pigments. Vision Research, 48, 2022–2041. (5)

Bowmaker, J. K., & Dartnall, H. J. A. (1980). Visual pigments of rods and cones in a human retina. Journal of Physiology (London), 298, 501–511. (5)

Boyce, R., Glasgow, S. D., Williams, S., & Adamantidis, A. (2016). Causal evidence for the role of REM sleep theta rhythm in contextual memory consolidation. Science, 352, 812–816. (8)

Bozkurt, A., Bozkurt, O. H., & Sonmez, I. (2015). Birth order and sibling sex ratio in a population with high fertility: Are Turkish male-to-female transsexuals different? Archives of Sexual Behavior, 44, 1331–1337. (10)

Braams, B. R., van Duijvenvoorde, A. C. K., Peper, J. S., & Crone, E. A. (2015). Longitudinal changes in adolescent risk- taking: A comprehensive study of neural responses to rewards, pubertal develop- ment, and risk-taking behavior. Journal of Neuroscience, 35, 7226–7238. (4)

Branco, T., Clark, B. A., & Häusser, M. (2010). Dendritic discrimination of temporal input sequences in cortical neurons. Science, 329, 1671–1675. (2)

Brandt, T. (1991). Man in motion: Historical and clinical aspects of vestibular function. Brain, 114, 2159–2174. (6)

Brans, R. G. H., Kahn, R. S., Schnack, H. G., van Baal, G. C. M., Posthuma, D., van Haren, N. E. M., . . . Pol, H. E. H. (2010). Brain plas- ticity and intellectual ability are influenced by shared genes. Journal of Neuroscience, 30, 5519–5524. (4)

Braun, A. R., Balkin, T. J., Wesensten, N. J., Guadry, F., Carson, R. E., Varga, M.,  .  .  .  Herscovitch, P. (1998). Dissociated pattern of activity in visual cortices and their projections during human rapid eye move- ment sleep. Science, 279, 91–95. (7, 8)

Braunschweig, D., Krakowiak, P., Duncanson, P., Boyce, R., Hansen, R. L., Ashwood, P.,  .  .  .  Van de Water, J. (2013). Autism- specific maternal autoantibodies recog- nize critical proteins in developing brain. Translational Psychiatry, 3, e277. (14)

Braus, H. (1960). Anatomie des Menschen, 3. Band: Periphere Leistungsbahnen II. Centrales Nervensystem, Sinnesorgane. 2. Auflage [Human anatomy: Vol. 3. Peripheral pathways II. Central nervous system, sen- sory organs (2nd ed.)]. Berlin: Springer- Verlag. (3)

Bray, G. A., Nielsen, S. J., & Popkin, B. M. (2004). Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. American Journal of Clinical Nutrition, 79, 537–543. (9)

Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001). Functional imaging of neural responses to expectancy and expe- rience of monetary gains and losses. Neuron, 30, 619–639. (14)

Bremmer, F., Kubischik, M., Hoffmann, K.-P., & Krekelberg, B. (2009). Neural dynam- ics of saccadic suppression. Journal of Neuroscience, 29, 12374–12383. (5)

Brewer, W. J., Wood, S. J., Pantelis, C., Berger, G. E., Copolov, D. L., & McGorry, P. D. (2007). Olfactory sensitivity through the course of psychosis: Relationships to olfac- tory identification, symptomatology and the schizophrenia odour. Psychiatry Research, 149, 97–104. (14)

Brickman, A. M., Khan, U. A., Provenzano, F. A., Yeung, L.-K., Suzuki, W., Schroeter, H.,  .  .  . Small, S. A. (2014). Enhancing den- tate gyrus function with dietary flavanols improves cognition in older adults. Nature Neuroscience, 17, 1798–1803. (12)

Bridge, H., Thomas, O. M., Minini, L., Cavina- Pratesi, C., Milner, A. D., & Parker, A. J. (2013). Structural and functional changes across the visual cortex of a patient with visual form agnosia. Journal of Neuroscience, 33, 12779–12791. (5)

Bridgeman, B., & Staggs, D. (1982). Plasticity in human blindsight. Vision Research, 22, 1199–1203. (5)

Bridle, C., Spanjers, K., Patel, S., Atherton, N. M., & Lamb, S. E. (2012). Effect of exer- cise on depression severity in older people: Systematic review and meta-analysis of ran- domised controlled trials. British Journal of Psychiatry, 201, 180–185. (14)

Briggs, R., Brooks, N., Tate, R., & Lah, S. (2015). Duration of post-traumatic amnesia as a pre- dictor of functional outcome in school-age children: A systematic review. Developmental Medicine & Child Neurology, 57, 618–627. (4)

Brigman, J. L., Daut, R. A., Wright, T., Gunduz-Cinar, O., Graybeal, C., Davis, M. I.,  .  .  .  Holmes, A. (2013). GluN2B in cor- ticostriatal circuits governs choice learning and choice shifting. Nature Neuroscience, 16, 1101–1110. (12)

Brock, O., Baum, M. J., & Bakker, J. (2011). The development of female sexual behavior requires prepubertal estradiol. Journal of Neuroscience, 31, 5574–5578. (10)

Brodin, T., Fick, J., Jonsson, M., & Klaminder, J. (2013). Dilute concentrations of a psychi- atric drug alter behavior of fish from natural populations. Science, 339, 814–815. (11)

Brody, A. L., Saxena, S., Stoesssel, P., Gillies, L. A., Fairbanks, L. A., Alborzian, S., .. Baxter, L. R. (2001). Regional brain meta- bolic changes in patients with major depres- sion treated with either paroxetine or interpersonal therapy. Archives of General Psychiatry, 58, 631–640. (14)

Brody, C. D., & Hanks, T. D. (2016). Neural underpinnings of the evidence accumula- tor. Current Opinion in Neurobiology, 37, 149–157. (13)

Brooks, P. L., & Peever, J. H. (2011). Impaired GABA and glycine transmission triggers cardinal features of rapid eye movement sleep behavior disorder in mice. Journal of Neuroscience, 31, 7111–7121. (8)

Brooks, P. L., & Peever, J. H. (2012). Identification of the transmitter and recep- tor mechanisms responsible for REM sleep paralysis. Journal of Neuroscience, 32, 9785– 9795. (8)

Brooks, D. C., & Bizzi, E. (1963). Brain stem electrical activity during deep sleep. Archives Italiennes de Biologie, 101, 648–665. (8)

Brown, A., & Weaver, L. C. (2012). The dark side of neuroplasticity. Experimental Neurology, 235, 133–141. (4)

Brown, A. S. (2011). The environment and susceptibility to schizophrenia. Progress in Neurobiology, 93, 23–58. (14)

Brown, A. S., Begg, M. D., Gravenstein, S., Schaefer, C. A., Wyatt, R. J., Bresnahan, M.,  .  .  .  Susser, E. S. (2004). Serologic evi- dence of prenatal influenza in the etiol- ogy of schizophrenia. Archives of General Psychiatry, 61, 774–780. (14)

Brown, C. E., Li, P., Boyd, J. D., Delaney, K. R., & Murphy, T. H. (2007). Extensive turnover of dendritic spines and vascular remodeling in cortical tissues recovering from stroke. Journal of Neuroscience, 27, 4101–4109. (4)

Brown, G. C., & Neher, J. J. (2014). Microglial phagocytosis of live neurons. Nature Reviews Neuroscience, 15, 209–216. (1)

Brown, G. L., Ebert, M. H., Goyer, P. F., Jimerson, D. C., Klein, W. J., Bunney, W. E., & Goodwin, F. K. (1982). Aggression, suicide, and serotonin: Relationships of CSF amine metabolites. American Journal of Psychiatry, 139, 741–746. (11)

Brown, J., Babor, T. F., Litt, M. D., & Kranzler, H. R. (1994). The type A/type B distinction. Annals of the New York Academy of Sciences, 708, 23–33. (14)

Brown, J. R., Ye, H., Bronson, R. T., Dikkes, P., & Greenberg, M. E. (1996). A defect in nur- turing in mice lacking the immediate early gene fos B. Cell, 86, 297–309. (10)

Brown, K. L., & Freeman, J. H. (2016). Retention of eyeblink conditioning in periweanling and adult rats. Developmental Psychobiology, 58, 1055–1065. (12)

Brown, T. I., Carr, V. A., La Rocque, K. F., Favila, S. E., Gordon, A. M., Bowles, B., . . . Wagner, A. D. (2016). Prospective representation of navigational goals in the human hippocam- pus. Science, 352, 1323–1326. (12, 13)

Bruck, M., Cavanagh, P., & Ceci, S. J. (1991). Fortysomething: Recognizing faces at one’s 25th reunion. Memory & Cognition, 19, 221–228. (5)

Brumpton, B., Langhammer, A., Romundstad, P., Chen, Y., & Mai, X. M. (2013). The associ- ations of anxiety and depression symptoms with weight change and incident obesity: The HUNT study. International Journal of Obesity, 37, 1268–1274. (9)

Bruns, P., Liebnau, R., & Röder, B. (2011). Cross-modal training induces changes in spatial representations early in the auditory processing pathway. Psychological Science, 22, 1120–1126. (3)

08202_ref_ptg01.indd 510 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 511

Bschor, T., & Kilarski, L. L. (2016). Are antide- pressants effective? A debate on their efficacy for the treatment of major depression in adults. Expert Review of Neurotherapeutics, 16, 367–374. (14)

Bucci, M. P., & Seessau, M. (2012). Saccadic eye movements in children: A developmental study Experimental Brain Research, 222, 21–30. (7)

Buck, L., & Axel, R. (1991). A novel multigene family may encode odorant receptors: A molecular basis for odor recognition. Cell, 65, 175–187. (6)

Buell, S. J., & Coleman, P. D. (1981). Quantitative evidence for selective dendritic growth in normal human aging but not in senile dementia. Brain Research, 214, 23–41. (4)

Buhle, J. T., Stevens, B. L., Friedman, J. J., & Wager, T. D. (2012). Distraction and pla- cebo: Two separate routes to pain control. Psychological Science, 23, 246–253. (6)

Bühren, K., Schwarte, R., Fluck, F., Timmesfeld, N., Krei, M., Egberts, K.,  .  .  .  Herpertz- Dahlmann, B. (2014). Comorbid psychiatric disorders in female adolescents with first- onset anorexia nervosa. European Eating Disorders Review, 22, 39–44. (9)

Buizer-Voskamp, J. E., Muntjewerff, J. W., Strengman, E., Sabatti, C., Stefansson, H., Vorstman, J. A. S., & Ophoff, R. A. (2011). Genome-wide analysis shows increased fre- quency of copy number variations deletions in Dutch schizophrenia patients. Biological Psychiatry, 70, 655–662. (14)

Buka, S. L., Tsuang, M. T., Torrey, E. F., Klebanoff, M. A., Bernstein, D., & Yolken, R. H. (2001). Maternal infections and subse- quent psychosis among offspring. Archives of General Psychiatry, 58, 1032–1037. (14)

Bulbena, A., Gago, J., Martin-Santos, R., Porta, M., Dasquens, J., & Berrios, G. E. (2004). Anxiety disorder & joint laxity: A defini- tive link. Neurology, Psychiatry and Brain Research, 11, 137–140. (11)

Bulbena, A., Gago, J., Sperry, L., & Bergé, D. (2006). The relationship between frequency and intensity of fears and a collagen condition. Depression and Anxiety, 23, 412–417. (11)

Bundgaard, M. (1986). Pathways across the ver- tebrate blood–brain barrier: Morphological viewpoints. Annals of the New York Academy of Sciences, 481, 7–19. (1)

Bundy, H., Stahl, B. H., & MacCabe, J. H. (2011). A systematic review and meta-analysis of the fertility of patients with schizophrenia and their unaffected relatives. Acta Psychiatrica Scandinavica, 123, 98–106. (14)

Bunney, B. G., & Bunney, W. E. (2012). Rapid- acting antidepressant strategies: Mechanisms of action. International Journal of Neuropsychopharmacology, 15, 695–713. (14)

Burgaleta, M., Head, K., Álvarez-Linera, J., Martinez, K., Escorial, S., Haier, R., & Colom, R. (2012). Sex differences in brain volume are related to specific skills, not gen- eral intelligence. Intelligence, 40, 60–68. (3)

Burke, T. M., Markwald, R. R., McHill, A. M., Chinoy, E. D., Snider, J. A., Bessman, S. C., . . . Wright, K. P. Jr. (2015). Effects of caf- feine on the human circadian clock in vivo and in vitro. Science Translational Medicine, 7, 305ra146. (8)

Burkett, J. P., & Young, L. J. (2012). The behav- ioral, anatomical, and pharmacological parallels between social attachment, love, and addiction. Psychopharmacology, 224, 1–26. (13)

Burman, D. D., Lie-Nemeth, T., Brandfonbrener, A. G., Parisi, T., & Meyer, J. R. (2009). Altered finger representations in sensorim- otor cortex of musicians with focal dysto- nia: Precentral cortex. Brain Imaging and Behavior, 3, 10–23. (4)

Burr, D. C., Morrone, M. C., & Ross, J. (1994). Selective suppression of the magnocellular visual pathway during saccadic eye move- ments. Nature, 371, 511–513. (5)

Burra, N., Hervais-Adelman, A., Kerzel, D., Tamietto, M., de Gelder, B., & Pegna, A. J. (2013). Amygdala activation for eye contact despite complete cortical blindness. Journal of Neuroscience, 33, 10483–10489. (11)

Burrell, B. (2004). Postcards from the brain museum. New York: Broadway Books. (3, 12)

Burri, A., Cherkas, L., Spector, T., & Rahman, Q. (2011). Genetic and environmental influ- ences on female sexual orientation, child- hood gender typicality and adult gender identity. PLoS One, 6, e21982. (10)

Burt, S. A. (2009). Rethinking environmental contributions to child and adolescent psy- chopathology: A meta-analysis of shared environmental influences. Psychological Bulletin, 135, 608–637. (4)

Burt, S. A., Klump, K. L., Gorman-Smith, D., & Neiderhiser, J. M. (2016). Neighborhood disadvantage alters the origins of children’s nonaggressive conduct problems. Clinical Psychological Science, 4, 511–526. (11)

Burton, H., Snyder, A. Z., Conturo, T. E., Akbudak, E., Ollinger, J. M., & Raichle, M. E. (2002). Adaptive changes in early and late blind: A fMRI study of Braille reading. Journal of Neurophysiology, 87, 589–607. (4)

Burton, R. F. (1994). Physiology by numbers. Cambridge, England: Cambridge University Press. (9)

Buschman, T. J., & Miller, E. K. (2007). Top- down versus bottom-up control of attention in the prefrontal and posterior parietal cor- tices. Science, 315, 1860–1862. (13)

Bushdid, C., Magnasco, M. O., Vosshall, L. B., & Keller, A. (2014). Humans can discrimi- nate more than 1 trillion olfactory stimuli. Science, 343, 1370–1372. (6)

Buss, D. M. (1994). The strategies of human mating. American Scientist, 82, 238–249. (4)

Buss, D. M. (2000). Desires in human mating. Annals of the New York Academy of Sciences, 907, 39–49. (10)

Buss, D. M. (2001). Cognitive biases and emo- tional wisdom in the evolution of conflict

between the sexes. Current Directions in Psychological Science, 10, 219–223. (10)

Byars, J. A., Beglinger, L. J., Moser, D. J., Gonzalez-Alegre, P., & Nopoulos, P. (2012). Substance abuse may be a risk factor for ear- lier onset of Huntington’s disease. Journal of Neurology, 259, 1824–1831. (7)

Byl, N. N., McKenzie, A., & Nagarajan, S. S. (2000). Differences in somatosensory hand organization in a healthy flutist and a flut- ist with focal hand dystonia: A case report. Journal of Hand Therapy, 13, 302–309. (4)

Byne, W., Tobet, S., Mattiace, L. A., Lasco, M. S., Kemether, E., Edgar, M. A., . . . Jones, L. B. (2001). The interstitial nuclei of the human anterior hypothalamus: An investigation of variation with sex, sexual orientation, and HIV status. Hormones and Behavior, 40, 86–92. (10)

Cabeza, R., & Moscovitch, M. (2013). Memory systems, processing modes, and compo- nents: Functional neuroimaging evidence. Perspectives on Psychological Science, 8, 49–55. (3)

Cahill, L. (2006). Why sex matters for neuro- science. Nature Reviews Neuroscience, 7, 477–484. (10)

Cahill, L., & McGaugh, J. L. (1998). Mechanisms of emotional arousal and lasting declara- tive memory. Trends in Neurosciences, 21, 294–299. (12)

Cai, D. J., Mednick, S. A., Harrison, E. M., Kanady, J. C., & Mednick, S. C. (2009). REM, not incubation, improves creativity by prim- ing associative networks. Proceedings of the National Academy of Sciences (U.S.A.), 106, 10130–10134. (8)

Cai, H., Haubensak, W., Anthony, T. E., & Anderson, D. J. (2014). Central amygda- la PKC-δ+neurons mediate the influence of multiple anorexigenic signals. Nature Neuroscience, 17, 1240–1248. (9)

Cai, Q., Van der Haegen, L., & Brysbaert, M. (2013). Complementary hemisphereic specialization for language production and visuospatial attention. Proceedings of the National Academy of Sciences (U.S.A.), 110, E322–E330. (13)

Cajal, S. R. (1937). Recollections of my life. Memoirs of the American Philosophical Society, 8. (Original work published 1901–1917) (1)

Calabresi, P., Picconi, B., Tozzi, A., Ghiglieri, V., & Di Filippo, M. (2014). Direct and indirect path- ways of basal ganglia: A critical reappraisal. Nature Neuroscience, 17, 1022–1030. (7)

Caldara, R., & Seghier, M. L. (2009). The fusiform face area responds automatically to statistical regularities optimal for face categorization. Human Brain Mapping, 30, 1615–1625. (5)

Calipari, E. S., & Ferris, M. J. (2013). Amphetamine mechanisms and actions at the dopamine terminal revisited. Journal of Neuroscience, 33, 8923–8925. (14)

Cameron, N. M., Champagne, F. A., Parent, C., Fish, E. W., Ozaki-Kuroda, K., & Meaney, M. J. (2005). The programming of individ- ual differences in defensive responses and

08202_ref_ptg01.indd 511 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

512 REFERENCES

reproductive strategies in the rat through variations in maternal care. Neuroscience and Biobehavioral Reviews, 29, 843–865. (4)

Campbell, S. S., & Tobler, I. (1984). Animal sleep: A review of sleep duration across phylogeny. Neuroscience and Biobehavioral Reviews, 8, 269–300. (8)

Camperio-Ciani, A., Corna, F., & Capiluppi, C. (2004). Evidence for maternally inherited factors favouring male homosexuality and promoting female fecundity. Proceedings of the Royal Society of London, B, 271, 2217– 2221. (10)

Campfield, L. A., Smith, F. J., Guisez, Y., Devos, R., & Burn, P. (1995). Recombinant mouse OB protein: Evidence for a peripheral signal linking adiposity and central neural net- works. Science, 269, 546–552. (9)

Campi, K. L., Collins, C. E., Todd, W. D., Kaas, J., & Krubitzer, L. (2011). Comparison of area 17 cellular composition in labora- tory and wild-caught rats including diurnal and nocturnal species. Brain Behavior and Evolution, 77, 116–130. (4)

Canal, C. E., & Gold, P. E. (2007). Different temporal profiles of amnesia after intra-hip- pocampus and intra-amygdala infusions of anisomycin. Behavioral Neuroscience, 121, 732–741. (12)

Canepari, M., Rossi, R., Pellegrino, M. A., Orell, R. W., Cobbold, M., Harridge, S., & Bottinelli, R. (2005). Effects of resistance training on myosin function studies by the in vitro motility assay in young and older men. Journal of Applied Physiology, 98, 2390–2395. (7)

Cannon, J. R., & Greenamyre, J. T. (2013). Gene- environment interactions in Parkinson’s dis- ease: Specific evidence in humans and mam- malian models. Neurobiology of Disease, 57, 38–46. (7)

Cannon, W. B. (1927). The James-Lange the- ory of emotions: Critical examinations and an alternative theory. American Journal of Psychology, 39, 106–124. (11)

Cannon, W. B. (1929). Organization for physi- ological homeostasis. Physiological Reviews, 9, 399–431. (9)

Cannon, W. B. (1945). The way of an investiga- tor. New York: Norton. (11)

Canter, R. G., Penney, J., & Tsai, L.-H. (2016). The road to restoring neural circuits for the treatment of Alzheimer’s disease. Nature, 539, 187–196. (12)

Cantú, S. M., Simpson, J. A., Griskevicius, V., Weisberg, Y. J., Durante, K. M., & Beal, D. J. (2014). Fertile and selectively flirty: Women’s behavior toward men changes across the ovulatory cycle. Psychological Science, 25, 431–438. (10)

Cao, M., & Guilleminault, C. (2010). Families with sleepwalking. Sleep Medicine, 11, 726–734. (8)

Cappelletti, M., & Wallen, K. (2016). Increasing women’s sexual desire: The comparative effectiveness of estrogens and androgens. Hormones and Behavior, 78, 178–193. (10)

Carbon, M., Hsieh, C. H., Kane, J. M., & Correll, C. U. (2017). Tardive dyskinesia prevalence in the period of second-gener- ation antipsychotic use: A meta-analysis. Journal of Clinical Psychology, in press. (14)

Cardoso, F. L. (2009). Recalled sex-typed behavior in childhood and sports’ prefer- ences in adulthood of heterosexual, bisexual, and homosexual men from Brazil, Turkey, and Thailand. Archives of Sexual Behavior, 38, 726–736. (10)

Carey, I. M., Shah, S. M., DeWilde, S., Harris, T., Victor, C. R., & Cook, D. G. (2014). Increased risk of acute cardiovascular events after partner bereavement. JAMA Internal Medicine, 174, 598–605. (11)

Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L., Kaelen, M., Droog, W., Murphy, K.,  .  .  .  Nutt, D. J. (2016). Neural correlates of the LSD experience revealed by multimodal neuroimaging. Proceedings of the National Academy of Sciences (U.S.A.), 113, 4853–4858. (2)

Carlsson, A. (2001). A paradigm shift in brain research. Science, 294, 1021–1024. (2)

Carpenter, C. J. (2012). Meta-analyses of sex differences in responses to sexual versus emotional infidelity: Men and women are more similar than different. Psychology of Women Quarterly, 36, 25–37. (10)

Carpenter, G. A., & Grossberg, S. (1984). A neural theory of circadian rhythms: Aschoff ’s rule in diurnal and nocturnal mammals. American Journal of Physiology, 247, R1067–R1082. (8)

Carré, J. M., Iselin, A.-M. R., Welker, K. M., Hariri, A. R., & Dodge, K. A. (2014). Testosterone reactivity to provocation mediates the effect of early intervention on aggressive behavior. Psychological Science, 25, 1140–1146. (11)

Carrera, O., Adan, R. A. H., Gutiérrez, E., Danner, U. N., Hoek, H. W., van Elburg, A. A., & Kas, M. J. H. (2012). Hyperactivity in anorexia nervosa: Warming up not just burning-off calories. PLoS One, 7, e41851. (9)

Carruth, L. L., Reisert, I., & Arnold, A. P. (2002). Sex chromosome genes directly affect brain sexual differentiation. Nature Neuroscience, 5, 933–934. (10)

Carter, M. E., Soden, M. E., Zweifel, L. S., & Palmiter, R. D. (2013). Genetic identification of a neural circuit that suppresses appetite. Nature, 503, 111–114. (9)

Carver, C. S., Johnson, S. L., Joormann, J., Kim, Y., & Nam, J. Y. (2011). Serotonin transport- er polymorphism interacts with childhood adversity to predict aspects of impulsivity. Psychological Science, 22, 589–595. (11)

Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., . . . Massimini, M. (2013). A theoretically based index of consciousness independent of sensory pro- cesses and behavior. Science Translational Medicine, 5, 198ra105. (13)

Case, L. K., Laubacher, C. M., Olausson, H., Wang, B., Spagnolo, P. A., & Bushnell,

M. C. (2016). Encoding of touch intensity but not pleasantness in human primary somato- sensory cortex. Journal of Neuroscience, 36, 5850–5860. (6)

Casey, B. J., & Caudle, K. (2013). The teenage brain: Self control. Current Directions in Psychological Science, 22, 82–87. (4)

Cash, S. S., Halgren, E., Dehghani, N., Rosssetti, A. O., Thesen, T., Wang, C. M., . . . Ulbert, I. (2009). The human K-complex represents an isolated cortical down-state. Science, 324, 1084–1087. (8)

Caspi, A., Houts, R. M., Belsky, D. W., Goldman- Mellor, S. J., Harrington, H. L., Israel, S.,  .  .  .  Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119–137. (14)

Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W.,  .  .  .  Poulton, R. (2002). Role of genotype in the cycle of vio- lence in maltreated children. Science, 297, 851–854. (11)

Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., . . . Poulton, R. (2003). Influence of life stress on depres- sion: Moderation by a polymorphism in the 5-HTT gene. Science, 301, 386–389. (14)

Cassia, V. M., Turati, C., & Simion, F. (2004). Can a nonspecific bias toward top-heavy patterns explain newborns’ face preference? Psychological Science, 15, 379–383. (5)

Castellucci, V. F., Pinsker, H., Kupfermann, I., & Kandel, E. (1970). Neuronal mecha- nisms of habituation and dishabituation of the gill-withdrawal reflex in Aplysia. Science, 167, 1745–1748. (12)

Castrén, E., & Rantamäki, T. (2010). The role of BDNF and its receptors in depression and antidepressant drug action: Reactivation of developmental plasticity. Developmental Neurobiology, 70, 289–296. (14)

Castro-Alvarez, J. F., Gutierrez-Vargas, J., Darnaudéry, M., & Cardona-Gómez, G. P. (2011). ROCK inhibition prevents tau hyperphosphorylation and p25/CDK5 increase after global cerebral ischemia. Behavioral Neuroscience, 125, 465–472. (4)

Catalano, S. M., & Shatz, C. J. (1998). Activity- dependent cortical target selection by tha- lamic axons. Science, 281, 559–562. (4)

Catania, K. C. (2006). Underwater “sniffing” by semi-aquatic mammals. Nature, 444, 1024–1025. (6)

Catchpole, C. K., & Slater, P. J. B. (1995). Bird song: Biological themes and variations. Cambridge, England: Cambridge University Press. (0)

Catmur, C., Walsh, V., & Heyes, C. (2007). Sensorimotor learning configures the human mirror system. Current Biology, 17, 1527–1531. (7)

Catterall, W. A. (1984). The molecular basis of neuronal excitability. Science, 223, 653– 661. (1)

Cavina-Pratesi, C., Connolly, J. D., & Milner, A. D. (2013). Optic ataxia as a model to investi- gate the role of the posterior parietal cortex

08202_ref_ptg01.indd 512 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 513

in visually guided action: Evidence from studies of patient M. H. Frontiers in Human Neuroscience, 7, article 336. (5)

Cepeda-Benito, A., Davis, K. W., Reynoso, J. T., & Harraid, J. H. (2005). Associative and behav- ioral tolerance to the analgesic effects of nico- tine in rats: Tail-flick and paw-lick assays. Psychopharmacology, 180, 224–233. (14)

Cerletti, U., & Bini, L. (1938). L’Elettro- shock. Archivio Generale di Neurologia e Psichiatria e Psicoanalisi, 19, 266–268. (14)

Cerrato, M., Carrera, O., Vazquez, R., Echevarria, E., & Gutiérrez, E. (2012). Heat makes a dif- ference in activity-based anorexia: A trans- lational approach to treatment development in anorexia nervosa. International Journal of Eating Disorders, 45, 26–35. (9)

Chafee, M. V., & Goldman-Rakic, P. S. (1998). Matching patterns of activity in primate pre- frontal area 8a and parietal area 7ip neurons during a spatial working memory task. Journal of Neurophysiology, 79, 2919–2940. (12)

Chailangkarn, T., Trujillo, C. A., Freitas, B., Hrvoy-Mihic, B., Herai, R. H., Yu, D. X., . . . Moutri, A. R. (2016). A human neu- rodevelopmental model for Williams syn- drome. Nature, 536, 338–343. (13)

Chalmers, D. J. (1995). Facing up to the problem of consciousness. Journal of Consciousness Studies, 2, 200–219. (13)

Chalmers, D. L. (2004). How can we con- struct a science of consciousness? In M. S. Gazzaniga (Ed.), The cognitive neurosciences (3rd ed.) (pp. 1111–1119). Cambridge, MA: MIT Press. (13)

Chalmers, D. (2007). Naturalistic dualism. In M. Velmans & S. Schneider (Eds.), The Blackwell companion to consciousness (pp. 359–368). Malden, MA: Blackwell. (0)

Chang, E. F., & Merzenich, M. M. (2003). Environmental noise retards auditory corti- cal development. Science, 300, 498–502. (6)

Chang, G.-Q., Gaysinskaya, V., Karatayev, O., & Leibowitz, S. F. (2008). Maternal high-fat diet and fetal programming: Increased pro- liferation of hypothalamic peptide-produc- ing neurons that increase risk for overeating and obesity. Journal of Neuroscience, 28, 12107–12119. (9)

Chang, S.-H., Gao, L., Li, Z., Zhang, W.-N., Du, Y., & Wang, J. (2013). BDgene: A genetic data- base for bipolar disorder and its overlap with schizophrenia and major depressive disorder. Biological Psychiatry, 74, 727–733. (14)

Chang, S. W. C., Gariépy, J.-F., & Platt, M. L. (2013). Neuronal reference frames for social decisions in primate frontal cortex. Nature Neuroscience, 16, 243–250. (13)

Chao, M. V. (2010). A conversation with Rita Levi-Montalcini. Annual Review of Physiology, 72, 1–13. (4)

Chapman, S. B., Aslan, S., Spence, J. S., DeFina, L. F., Keebler, M. W., Didehbani, N., & Lu, H. (2013). Shorter term aerobic exercise improves brain, cognition, and cardiovas- cular fitness in aging. Frontiers in Aging Neuroscience, 5, Article 75. (12)

Chatterjee, R. (2015). Out of the darkness. Science, 350, 372–375. (5)

Chaudhari, N., Landin, A. M., & Roper, S. D. (2000). A metabotropic glutamate receptor variant functions as a taste receptor. Nature Neuroscience, 3, 113–119. (6)

Chee, M. J. S., Myers, M. G. Jr., Price, C. J., & Colmers, W. F. (2010). Neuropeptide Y suppresses anorexigenic output from the ventromedial nucleus of the hypothalamus. Journal of Neuroscience, 30, 3380–3390. (9)

Chen, L. M., Friedman, R. M., & Roe, A. W. (2003). Optical imaging of a tactile illusion in area 3b of the primary somatosensory cortex. Science, 302, 881–885. (6)

Chen, Y.-C., Kuo, H.-Y., Bornschein, U., Takahashi, H., Chen, S.-Y., Lu, K.-M., . . . Liu, F.-C. (2016). Foxp2 controls synaptic wiring of corticostriatal circuits and vocal com- munication by opposing Mef2c. Nature Neuroscience, 19, 1513–1522. (13)

Cheney, D. L. (2011). Cooperation in nonhu- man primates. In R. Menzel & J. Fischer (Eds.), Animal thinking (pp. 239–252). Cambridge, MA: MIT Press. (4)

Cheney, D. L., & Seyfarth, R. M. (2005). Constraints and adaptations in the earli- est stages of language evolution. Linguistic Review, 22, 135–159. (13)

Chesworth, R., & Corbit, L. H. (2017). Recent developments in the behavioural and phar- macological enhancement of extinction of drug seeking. Addiction Biology, 22, 2–43. (14)

Cheyne, J. A., & Pennycook, G. (2013). Sleep paralysis postepisode distress: Modeling potential effects of episode characteris- tics, general psychological distress, beliefs, and cognitive style. Clinical Psychological Science, 1, 135–148. (8)

Chiapponi, C., Piras, F., Fagioli, S., Piras, F., Caltagirone, C., & Spalletta, G. (2013). Age- related brain trajectories in schizophrenia: A systematic review of structural MRI stud- ies. Psychiatry Research—Neuroimaging, 214, 83–93. (14)

Chiang, M.-C., Barysheva, M., Shattuck, D. W., Lee, A. D., Madsen, S. K., Avedissian, C.,  .  .  .  Thompson, P. M. (2009). Genetics of brain fiber architecture and intellectual performance. Journal of Neuroscience, 29, 2212–2224. (12)

Cho, K. (2001). Chronic “jet lag” produces tem- poral lobe atrophy and spatial cognitive defi- cits. Nature Neuroscience, 4, 567–568. (8)

Chomsky, N. (1980). Rules and representations. New York: Columbia University Press. (13)

Chong, S. Y. C., Ptácek, L. J., & Fu, Y. H. (2012). Genetic insights on sleep schedules: This time it’s PERsonal. Trends in Genetics, 28, 598–605. (8)

Chong, S. C., Jo, S., Park, K. M., Joo, E. Y., Lee, M.-J., Hong, S. C., & Hong, S. B. (2013). Interaction between the electrical stimulation of a face-selective area and the perception of face stimuli. NeuroImage, 77, 70–76. (5)

Chou, E. Y., Parmar, B. L., & Galinsky, A. D. (2016). Economic insecurity increases physical pain. Psychological Science, 27, 443–454. (6)

Christensen, C. B., Christensen-Dalsgaard, J., & Madsen, P. T. (2015). Hearing of the African lungfish (Protopterus annectens) suggests underwater pressure detection and rudi- mentary aerial hearing in early tetrapods. Journal of Experimental Biology, 218, 381– 387. (6)

Chuang, H., Prescott, E. D., Kong, H., Shields, S., Jordt, S.-E., Basbaum, A. I.,  .  .  .  Julius, D. (2001). Bradykinin and nerve growth factor release the capsaicin receptor from Ptdlns(4, 5)P2-mediated inhibition. Nature, 411, 957–962. (6)

Chung, W. C. J., de Vries, G. J., & Swaab, D. F. (2002). Sexual differentiation of the bed nucleus of the stria terminalis in humans may extend into adulthood. Journal of Neuroscience, 22, 1027–1033. (10)

Churchland, P. S. (1986). Neurophilosophy. Cambridge, Massachusetts: MIT Press. (0)

Ciaramelli, E., Muccioli, M., Làdavas, E., & di Pellegrino, G. (2007). Selective deficit in personal moral judgment following damage to ventromedial prefrontal cortex. Social Cognitive and Affective Neuroscience, 2, 84–92. (11)

Cichon, J., & Gan, W.-B. (2015). Branch-specific dendritic Ca2+ spikes cause persistent synap- tic plasticity. Nature, 520, 180–185. (12)

Cicone, N., Wapner, W., Foldi, N. S., Zurif, E., & Gardner, H. (1979). The relation between ges- ture and language in aphasic communication. Brain and Language, 8, 342–349. (13)

Clahsen, H., & Almazen, M. (1998). Syntax and morphology in Williams syndrome. Cognition, 68, 167–198. (13)

Clark, D. A., Mitra, P. P., & Wang, S. S.-H. (2001). Scalable architecture in mammalian brains. Nature, 411, 189–193. (3)

Clark, R. E., & Lavond, D. G. (1993). Reversible lesions of the red nucleus during acqui- sition and retention of a classically con- ditioned behavior in rabbits. Behavioral Neuroscience, 107, 264–270. (12)

Clark, W. S. (2004). Is the zone-tailed hawk a mimic? Birding, 36, 494–498. (0)

Clarke, S., Assal, G., & deTribolet, N. (1993). Left hemisphere strategies in visual rec- ognition, topographical orientation and time planning. Neuropsychologia, 31, 99–113. (13)

Cleary, L. J., Hammer, M., & Byrne, J. H. (1989). Insights into the cellular mechanisms of short-term sensitization in Aplysia. In T. J. Carew & D. B. Kelley (Eds.), Perspectives in neural systems and behavior (pp. 105–119). New York: Liss. (12)

Clelland, C. D., Choi, M., Romberg, C., Clemenson, G. D. Jr., Fragniere, A., Tyers, P.,  .  .  .  Bussey, T. J. (2009). A functional role for adult hippocampal neurogenesis in spatial pattern separation. Science, 325, 210–213. (4)

08202_ref_ptg01.indd 513 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

514 REFERENCES

Clemenson, G. D., & Stark, C. E. L. (2015). Virtual environmental enrichment through video games improves hippocampal-asso- ciated memory. Journal of Neuroscience, 35, 16116–16125. (4)

Clements, K. M., Smith, L. M., Reynolds, J. N. J., Overton, P. G., Thomas, J. D., & Napper, R. M. (2012). Early postnatal ethanol expo- sure: Glutamatergic excitotoxic cell death during acute withdrawal. Neurophysiology, 44, 376–386. (4)

Clutton-Brock, T. H., O’Riain, M. J., Brotherton, P. N. M., Gaynor, D., Kansky, R., Griffin, A. S., & Manser, M. (1999). Selfish senti- nels in cooperative mammals. Science, 284, 1640–1644. (4)

Coan, J. A., Schaefer, H. S., & Davidson, R. J. (2006). Lending a hand: Social regulation of the neural response to threat. Psychological Science, 17, 1032–1039. (11)

Cobos, P., Sánchez, M., Pérez, N., & Vila, J. (2004). Effects of spinal cord injuries on the subjective component of emotions. Cognition and Emotion, 18, 281–287. (11)

Coderre, T. J., Katz, J., Vaccarino, A. L., & Melzack, R. (1993). Contribution of central neuroplasticity to pathological pain: Review of clinical and experimental evidence. Pain, 52, 259–285. (6)

Coenen, A. M. L. (1995). Neuronal activities underlying the electroencephalogram and evoked potentials of sleeping and waking: Implications for information-processing. Neuroscience and Biobehavioral Reviews, 19, 447–463. (8)

Cohen, D., & Nicolelis, M. A. L. (2004). Reduction of single-neuron firing uncer- tainty by cortical ensembles during motor skill learning. Journal of Neuroscience, 24, 3574–3582. (7)

Cohen, L. G., Celnik, P., Pascual-Leone, A., Corwell, B., Faiz, L., Dambrosia, J.,  .  .  .  Hallett, M. (1997). Functional rel- evance of cross-modal plasticity in blind humans. Nature, 389, 180–183. (4)

Cohen, S., Frank, E., Doyle, W. J., Skoner, D. P., Rabin, B. S., & Swaltney, J. M., Jr. (1998). Types of stressors that increase susceptibil- ity to the common cold in healthy adults. Health Psychology, 17, 214–223. (11)

Cohen, S., Janicki-Deverts, D., Turner, R. B., & Doyle, W. J. (2015). Does hugging provide stress-buffering social support? A study of susceptibility to upper respiratory infec- tion and illness. Psychological Science, 26, 135–147. (11)

Cohen-Kettenis, P. T. (2005). Gender change in 46, XY persons with 5a-reductase-2 deficiency and 17b-hydroxysteroid dehy- drogenase-3 deficiency. Archives of Sexual Behavior, 34, 399–410. (10)

Cohen-Tannoudji, M., Babinet, C., & Wassef, M. (1994). Early determination of a mouse somatosensory cortex marker. Nature, 368, 460–463. (4)

Cohen-Woods, S., Craig, I. W., & McGuffin, P. (2013). The current state of play on

the molecular genetics of depression. Psychological Medicine, 43, 673–687. (14)

Colantuoni, C., Rada, P., McCarthy, J., Patten, C., Avena, N. M., Chadeayne, A., & Hoebel, B. G. (2002). Evidence that intermittent, excessive sugar intake causes endogenous opioid dependence. Obesity Research, 10, 478–488. (9)

Colantuoni, C., Schwenker, J., McCarthy, J., Rada, P., Ladenheim, B., Cadet, J.-L.,  .  .  .  Hoebel, B. G. (2001). Excessive sugar intake alters binding to dopamine and mu-opioid receptors in the brain. NeuroReport, 12, 3549–3552. (9)

Colapinto, J. (1997, December 11). The true story of John/Joan. Rolling Stone, pp. 54–97. (10)

Coleman, J. A., Green, E. M., & Gouaux, E. (2016). X-ray structures and mechanism of the human serotonin transporter. Nature, 532, 334–339. (14)

Collingridge, G. L., Peineau, S., Howland, J. G., & Wang, Y. T. (2010). Long-term depression in the CNS. Nature Reviews Neuroscience, 11, 459–473. (12)

Collins, C. E. (2011). Variability in neuron densities across the cortical sheet in pri- mates. Brain, Behavior and Evolution, 78, 37–50. (3)

Colom, R., Burgaleta, M., Román, F. J., Karama, S., Alvarez-Linera, J., Abad, F. J.,  .  .  . Haier, R. J. (2013). Neuroanatomic overlap between intelligence and cognitive factors: Morphometry methods provide support for the key role of the frontal lobes. NeuroImage, 72, 143–152. (12)

Colom, R., Quiroga, M. A., Solana, A. B., Burgaleta, M., Román, F. J., Privado, J.,  .  .  . Karama, S. (2012). Structural chang- es after videogame practice related to a brain network associated with intelligence. Intelligence, 40, 479–489. (4)

Coltheart, M. (2013). How can functional neuroimaging inform cognitive theories? Perspectives on Psychological Science, 8, 98–103. (3)

Conn, P. M., & Parker, J. V. (2008). Winners and losers in the animal-research war. American Scientist, 96, 184–186. (0)

Connine, C. M., Blasko, D. G., & Hall, M. (1991). Effects of subsequent sentence con- text in auditory word recognition: Temporal and linguistic constraints. Journal of Memory and Language, 30, 234–250. (13)

Considine, R. V., Sinha, M. K., Heiman, M. L., Kriauciunas, A., Stephens, T. W., Nyce, M. R.,  .  .  .  Caro, J. F. (1996). Serum immuno- reactive-leptin concentrations in normal- weight and obese humans. New England Journal of Medicine, 334, 292–295. (9)

Constantinidis, C., & Klingberg, T. (2016). The neuroscience of working memory capacity and training. Nature Reviews Neuroscience, 17, 438–449. (12)

Conti, V., Marini, C., Gana, S., Sudi, J., Dobyns, W. B., & Guerrini, R. (2011). Corpus cal- losum agenesis, severe mental retardation, epilepsy, and dyskinetic quadriparesis due

to a novel mutation in the homeodomain of ARX. American Journal of Medical Genetics Part A, 155A, 892–897. (4)

CONVERGE Consortium. (2015). Sparse whole-genome sequencing identifies two loci for major depression. Nature, 523, 588– 591. (14)

Cooke, B. M., Tabibnia, G., & Breedlove, S. M. (1999). A brain sexual dimorphism controlled by adult circulating androgens. Proceedings of the National Academy of Sciences, USA, 96, 7538–7540. (10)

Coppola, D. M., Purves, H. R., McCoy, A. N., & Purves, D. (1998). The distribution of orient- ed contours in the real world. Proceedings of the National Academy of Sciences, USA, 95, 4002–4006. (5)

Corballis, M. C. (2012a). How language evolved from manual gestures. Gesture, 12, 200–226. (13)

Corballis, M. C. (May–June, 2012b). Mind wandering. American Scientist, 100(3), 210–217. (3)

Corcoran, A. J., Barber, J. R., & Conner, W. E. (2009). Tiger moth jams bat sonar. Science, 325, 325–327. (6)

Corkin, S. (1984). Lasting consequences of bilateral medial temporal lobectomy: Clinical course and experimental find- ings in H. M. Seminars in Neurology, 4, 249–259. (12)

Corkin, S. (2002). What’s new with the amnesic patient H. M.? Nature Reviews Neuroscience, 3, 153–159. (12)

Corkin, S. (2013). Permanent present tense. New York: Basic books. (12)

Corkin, S., Rosen, T. J., Sullivan, E. V., & Clegg, R. A. (1989). Penetrating head inju- ry in young adulthood exacerbates cog- nitive decline in later years. Journal of Neuroscience, 9, 3876–3883. (4)

Cornelius, M. D., De Genna, N. M., Goldschmidt, L., Larkby, C., & Day, N. L. (2016). Prenatal alcohol and other early childhood adverse exposures: Direct and indirect pathways to adolescent drinking. Neurotoxicology and Teratology, 55, 8–15. (14)

Corradi-Dell’Acqua, C., Hofstetter, C., & Vuilleumier, P. (2011). Felt and seen pain evoke the same local patterns of cortical activ- ity in insular and cingulate cortex. Journal of Neuroscience, 31, 17996–18006. (6)

Cosmelli, D., David, O., Lachaux, J.-P., Martinerie, J., Garnero, L., Renault, B., & Varela, F. (2004). Waves of consciousness: Ongoing cortical patterns during binocular rivalry. NeuroImage, 23, 128–140. (13)

Coss, R. G., Brandon, J. G., & Globus, A. (1980). Changes in morphology of dendritic spines on honeybee calycal interneurons associ- ated with cumulative nursing and foraging experiences. Brain Research, 192, 49–59. (4)

Costa, R. P., Froemke, R. C., Sjöström, P. J., & van Rossum, M. C. W. (2015). Unified pre-and postsynaptic long-term plasticity enables reliable and flexible learning. eLife, 4, e09457. (12)

08202_ref_ptg01.indd 514 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 515

Costa, V. D., Lang, P. J., Sabatinelli, D., Versace, F., & Bradley, M. M. (2010). Emotional imagery: Assessing pleasure and arousal in the brain’s reward circuitry. Human Brain Mapping, 31, 1446–1457. (14)

Courchesne, E., Townsend, J., Akshoomoff, N. A., Saitoh, O., Yeung-Courchesne, R., Lincoln, A. J., . . . Lau, L. (1994). Impairment in shifting attention in autistic and cerebel- lar patients. Behavioral Neuroscience, 108, 848–865. (3)

Cowart, B. J. (2005, Spring). Taste, our body’s gustatory gatekeeper. Cerebrum, 7(2), 7–22. (6)

Cox, J. J., Reimann, F., Nicholas, A. K., Thornton, G., Roberts, E., Springell, K.,  .  .  .  Woods, C. G. (2006). An SCN9A channelopathy causes congenital inability to experience pain. Nature, 304, 115–117. (6)

Craig, A. M., & Boudin, H. (2001). Molecular heterogeneity of central synapses: Afferent and target regulation. Nature Neuroscience, 4, 569–578. (2)

Crair, M. C., Gillespie, D. C., & Stryker, M. P. (1998). The role of visual experience in the development of columns in cat visual cortex. Science, 279, 566–570. (5)

Cravchik, A., & Goldman, D. (2000). Neurochemical individuality. Archives of General Psychiatry, 57, 1105–1114. (14)

Cressey, D. (2016). Q&A: Fabulous fact fisher. Nature, 534, 325. (10)

Crick, F. C., & Koch, C. (2004). A framework for consciousness. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (3rd ed., pp. 1133– 1143). Cambridge, MA: MIT Press. (13)

Crick, F., & Mitchison, G. (1983). The function of dream sleep. Nature, 304, 111–114. (8)

Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001). Neuroanatomical basis for first- and second-order representations of bodily states. Nature Neuroscience, 4, 207–212. (11)

Critchley, H. D., & Rolls, E. T. (1996). Hunger and satiety modify the responses of olfacto- ry and visual neurons in the primate orbito- frontal cortex. Journal of Neurophysiology, 75, 1673–1686. (9)

Crivelli, C., Jarillo, S., Russell, J. A., & Fernández-Dols, J. M. (2016). Reading emo- tions from faces in two indigenous soci- eties. Journal of Experimental Psychology: General, 145, 830–843. (11)

Crone, E. A., & Dahl, R. E. (2012). Understanding adolescence as a period of social-affective engagement and goal flex- ibility. Nature Reviews Neuroscience, 13, 636–650. (4)

Cross-Disorder Group of the Psychiatric Genomic Consortium. (2013). Identification of risk loci with shared effects on five major psychiatric disorders: A genome-wide anal- ysis. Lancet, 381, 1371–1379. (14)

Crossin, K. L., & Krushel, L. A. (2000). Cellular signaling by neural cell adhesion molecules of the immunoglobulin family. Developmental Dynamics, 218, 260–279. (4)

Crowley, S. J., & Eastman, C. I. (2013). Melatonin in the afternoons of a gradually advancing sleep schedule enhances the cir- cadian phase advance. Psychopharmacology, 225, 825–837. (8)

Cryan, J. F., & Dinan, T. G. (2012). Mind-altering microorganisms: The impact of the gut micro- biota on brain and behavior. Nature Reviews Neuroscience, 13, 701–712. (9)

Cui, G., Jun, S. B., Jin, X., Pham, M. D., Vogel, S. S., Lovinger, D. M., & Costa, R. M. (2013). Concurrent activation of striatal direct and indirect pathways during action initiation. Nature, 494, 238–242. (7)

Cummings, D. E., Clement, K., Purnell, J. Q., Vaisse, C., Foster, K. E., Frayo, R. S., . . . Weigle, D. S. (2002). Elevated plasma ghrelin levels in Prader-Willi syndrome. Nature Medicine, 8, 643–644. (9)

Cummings, D. E., & Overduin, J. (2007). Gastrointestinal regulation of food intake. Journal of Clinical Investigation, 117, 13–23. (9)

Curry, A. (2013). The milk revolution. Nature, 500, 20–22. (9)

Cushman, F., Gray, K., Gaffey, A., & Mendes, M. B. (2012). Simulating murder: The aversion to harmful action. Emotion, 12, 2–7. (11)

Cutler, W. B., Preti, G., Krieger, A., Huggins, G. R., Garcia, C. R., & Lawley, H. J. (1986). Human axillary secretions influence wom- en’s menstrual cycles: The role of donor extract from men. Hormones and Behavior, 20, 463–473. (6)

Cvijanovic, N., Feinle-Bisset, C., Young, R. L., & Little, T. J. (2015). Oral and intestinal sweet and fat tasting: Impact of receptor polymor- phisms and dietary modulation for metabolic disease. Nutrition Reviews, 73, 318–334. (9)

Czeisler, C. (2013). Casting light on sleep defi- ciency. Nature, 497, S13. (8)

Czeisler, C. A., Johnson, M. P., Duffy, J. F., Brown, E. N., Ronda, J. M., & Kronauer, R. E. (1990). Exposure to bright light and darkness to treat physiologic maladapta- tion to night work. New England Journal of Medicine, 322, 1253–1259. (8)

Czeisler, C. A., Weitzman, E. D., Moore-Ede, M. C., Zimmerman, J. C., & Knauer, R. S. (1980). Human sleep: Its duration and organization depend on its circadian phase. Science, 210, 1264–1267. (8)

Dachtler, J., Ivorra, J. L., Rowland, T. E., Lever, C., Rodgers, R. J., & Clapcote, S. J. (2015). Heterozygous deletion of alpha-neurexin I or alpha-neurexin II results in behav- iors relevant to autism and schizophrenia. Behavioral Neuroscience, 129, 765–776. (14)

Dabbs, J. M., Jr., Carr, T. S., Frady, R. L., & Riad, J. K. (1995). Testosterone, crime, and mis- behavior among 692 male prison inmates. Personality and Individual Differences, 18, 627–633. (11)

Dale, N., Schacher, S., & Kandel, E. R. (1988). Long-term facilitation in Aplysia involves increase in transmitter release. Science, 239, 282–285. (12)

Dale, P. S., Harlaar, N., Haworth, C. M. A., & Plomin, R. (2010). Two by two: A twin study of second-language acquisition. Psychological Science, 21, 635–640. (4)

Dallaspezia, S., Suzuki, M., & Benedetti, F. (2015). Chronobiology for mood disorders. Current Psychiatry Reports, 17, article 95. (14)

Dalterio, S., & Bartke, A. (1979). Perinatal exposure to cannabinoids alters male repro- ductive function in mice. Science, 205, 1420–1422. (10)

Dalton, K. (1968). Ante-natal progesterone and intelligence. British Journal of Psychiatry, 114, 1377–1382. (10)

Dalton, P., Doolittle, N., & Breslin, P. A. (2002). Gender-specific induction of enhanced sen- sitivity to odors. Nature Neuroscience, 5, 199–200. (6)

Damasio, A. (1999). The feeling of what hap- pens. New York: Harcourt Brace. (11)

Damasio, A. R. (1994). Descartes’ error. New York: Putnam’s Sons. (11)

Damsma, G., Pfaus, J. G., Wenkstern, D., Phillips, A. G., & Fibiger, H. C. (1992). Sexual behavior increases dopamine trans- mission in the nucleus accumbens and stria- tum of male rats: A comparison with novelty and locomotion. Behavioral Neuroscience, 106, 181–191. (14)

Darweesh, S. K. L., Verlinden, V. J. A., Adams, H. H. H., Uitterlinden, A. G., Hofman, A., Stricker, B. H.,  .  .  .  Ikram, M. A. (2016). Genetic risk of Parkinson’s disease in the general population. Parkinsonism & Related Disorders, 29, 54–59. (7)

Darwin, C. (1859). The origin of species. New York: D. Appleton. (4)

Das, A., Tadin, D., & Huxlin, K. R. (2014). Beyond blindsight: Properties of visual relearning in cortically blind fields. Journal of Neuroscience, 34, 11652–11664. (5)

Daum, I., Schugens, M. M., Ackermann, H., Lutzenberger, W., Dichgans, J., & Birbaumer, N. (1993). Classical conditioning after cerebellar lesions in humans. Behavioral Neuroscience, 107, 748–756. (12)

Davidson, R. J. (1984). Affect, cognition, and hemispheric specialization. In C. E. Izard, J. Kagan, & R. B. Zajonc (Eds.), Emotions, cognition, & behavior (pp. 320–365). Cambridge, England: Cambridge University Press. (14)

Davidson, R. J., & Fox, N. A. (1982). Asymmetrical brain activity discriminates between positive and negative affective stimuli in human infants. Science, 218, 1235–1237. (11)

Davidson, R. J., & Henriques, J. (2000). Regional brain function in sadness and depression. In J. C. Borod (Ed.), The neuropsychology of emotion (pp. 269–297). London: Oxford University Press. (11)

Davidson, S., Zhang, X., Khasabov, S. G., Simone, D. A., & Giesler, G. J. Jr. (2009). Relief of itch by scratching: State-dependent inhibition of primate spinothalamic tract neurons. Nature Neuroscience, 12, 544–546. (6)

08202_ref_ptg01.indd 515 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

516 REFERENCES

Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V., Giddaluru, S.,  .  .  .  Deary, I. J. (2015). Genetic contributions to varia- tion in general cognitive function: A meta- analysis of genome-wide association studies in the CHARGE consortium (N = 53 949). Molecular Psychiatry, 20, 183–192. (12)

Davies, G., Welham, J., Chant, D., Torrey, E. F., & McGrath, J. (2003). A systematic review and meta-analysis of Northern hemisphere season of birth effects in schizophrenia. Schizophrenia Bulletin, 29, 587–593. (14)

Davies, P. (2006). The Goldilocks enigma. Boston, MA: Houghton Mifflin. (0)

Davis, E. C., Shryne, J. E., & Gorski, R. A. (1995). A revised critical period for the sexual differentiation of the sexually dimor- phic nucleus of the preoptic area in the rat. Neuroendocrinology, 62, 579–585. (10)

Davis, J., Eyre, H., Jacka, F. N., Dodd, S., Dean, O., McEwen, S., & Berk, M. (2016). A review of vulnerability and risks for schizophrenia: Beyond the two hit hypothesis. Neuroscience and Biobehavioral Reviews, 65, 185–194. (14)

Davis, J. I., Senghas, A., Brandt, F., & Ochsner, K. N. (2010). The effects of BOTOX injec- tions on emotional experience. Emotion, 10, 433–440. (11)

Davis, K. D., Kiss, Z. H. T., Luo, L., Tasker, R. R., Lozano, A. M., & Dostrovsky, J. O. (1998). Phantom sensations generated by thalamic microstimulation. Nature, 391, 385–387. (4)

Dawkins, R. (1989). The selfish gene (new ed.). Oxford, England: Oxford University Press. (4)

Dawson, T. M., Gonzalez-Zulueta, M., Kusel, J., & Dawson, V. L. (1998). Nitric oxide: Diverse actions in the central and periph- eral nervous system. The Neuroscientist, 4, 96–112. (2)

Day, S. (2005). Some demographic and socio- cultural aspects of synesthesia. In L. C. Robertson & N. Sagiv (Eds.), Synesthesis (pp. 11–33). Oxford, England: Oxford University Press. (6)

Dayan, E., Censor, N., Buch, E. R., Sandrini, M., & Cohen, L. G. (2013). Noninvasive brain stimulation: From physiology to network dynamics and back. Nature Neuroscience, 16, 838–844. (3)

de Bruin, J. P. C., Swinkels, W. A. M., & de Brabander, J. M. (1997). Response learning of rats in a Morris water maze: Involvement of the medial prefrontal cortex. Behavioral Brain Research, 85, 47–55. (12)

de Castro, J. M. (2000). Eating behavior: Lessons from the real world of humans. Nutrition, 16, 800–813. (9)

de Jong, M. C., Hendriks, R. J. M., Vansteensel, M. J., Raemaekers, M., Verstraten, F. A. J., Ramsey, N. F.,  .  .  .  van Ee, R. (2016). Intracranial recordings of occipital cortex responses to illusory visual events. Journal of Neuroscience, 36, 6297–6311. (13)

de Jong, W. W., Hendriks, W., Sanyal, S., & Nevo, E. (1990). The eye of the blind mole rat (Spalax ehrenbergi): Regressive evolution at

the molecular level. In E. Nevo & O. A. Reig (Eds.), Evolution of subterranean mammals at the organismal and molecular levels (pp. 383–395). New York: Liss. (8)

De Luca, M., Di Page, E., Judica, A., Spinelli, D., & Zoccolotti, P. (1999). Eye movement patterns in linguistic and non-linguistic tasks in developmental surface dyslexia. Neuropsychologia, 37, 1407–1420. (13)

de Maat, S., Dekker, J., Schoevers, R., van Aalst, G., Gijsbers-van Wijk, C., Hendriksen, M., .  .  . de Jonghe, F. (2008). Short psychody- namic supportive psychotherapy, antidepres- sants, and their combination in the treatment of major depression: A mega-analysis based on three randomized clinical trials. Depression and Anxiety, 25, 565–574. (14)

De Pitta, M., Brunel, N., & Volterra, A. (2016). Astrocytes: Orchestrating synaptic plastic- ity? Neuroscience, 323, 43–61. (1)

De Wall, C. N., Mac Donald, G., Webster, G. D., Masten, C. L., Baumeister, R. F., Powell, C.,  .  .  .  Eisenberger, N. I. (2010). Acetaminophen reduces social pain: Behavioral and neural evidence. Psychological Science, 21, 931–937. (6)

Deacon, T. W. (1990). Problems of ontog- eny and phylogeny in brain-size evolution. International Journal of Primatology, 11, 237–282. (3)

Deacon, T. W. (1992). Brain-language coevolu- tion. In J. A. Hawkins & M. Gell-Mann (Eds.), The evolution of human languages (pp. 49–83). Reading, MA: Addison-Wesley. (13)

Deacon, T. W. (1997). The symbolic species. New York: Norton. (3, 13)

Deady, D. K., North, N. T., Allan, D., Smith, M. J. L., & O’Carroll, R. E. (2010). Examining the effect of spinal cord injury on emotional awareness, expressivity and memory for emotional material. Psychology, Health and Medicine, 15, 406–419. (11)

DeArmond, S. J., Fusco, M. M., & Dewey, M. M. (1974). Structure of the human brain. New York: Oxford University Press. (9)

DeCoursey, P. (1960). Phase control of activity in a rodent. Cold Spring Harbor Symposia on Quantitative Biology, 25, 49–55. (8)

Deeb, S. S. (2005). The molecular basis of variation in human color vision. Clinical Genetics, 67, 369–377. (5)

Dees, E. W., & Baraas, R. C. (2014). Performance of normal females and carri- ers of color-vision deficiencies on standard color-vision tests. Journal of the Optical Society of America A, 31, A401–A409. (5)

de Groot, J. H. B., Smeets, M. A. M., Kaldewaij, A., Duijndam, M. J. A., & Semin, G. R. (2012). Chemosignals communicate human emotions. Psychological Science, 23, 1417– 1424. (6)

Dehaene, S. (2014). Consciousness and the brain. New York: Viking. (13)

Dehaene-Lambertz, G., Montavont, A., Jobert, A., Allirol, L., Dubois, J., Hertz-Pannier, L., & Dehaene, S. (2010). Language or music, moth- er or Mozart? Structural and environmental

influences on infants’ language networks. Brain & Language, 114, 53–65. (13)

Dehaene, S., Naccache, L., Cohen, L., LeBihan, D., Mangin, J.-F., Poline, J.-B., & Riviere, D. (2001). Cerebral mechanisms of word mask- ing and unconscious repetition priming. Nature Neuroscience, 4, 752–758. (13)

Dehaene, S., Pegado, F., Braga, L. W., Ventura, P., Filho, G. N., Jobert, A.,  .  .  .  Cohen, L. (2010). How learning to read changes the cortical networks for vision and language. Science, 330, 1359–1364. (5, 13)

de Hemptinne, C., Swann, N. C., Ostrem, J. L., Ryapolova-Webb, E. S., San Luciano, M., Galifianakis, N. B., & Starr, P. A. (2015). Therapeutic deep brain stimulation reduc- es cortical phase-amplitude coupling in Parkinson’s disease. Nature Neuroscience, 18, 779–786. (7)

Deisseroth, K. (2014). Circuit dynamics of adaptive and maladaptive behaviour. Nature, 505, 309–317. (14)

Deisseroth, K. (2015). Optogenetics: 10 years of microbial opsins in neuroscience. Nature Neuroscience, 18, 1213–1225. (3)

De Jager, P. L., Srivastava, G., Lunnon, K., Burgess, J., Schalkwyk, L. C., Yu, L.,  .  .  .  Bennett, D. A. (2014). Alzheimer’s disease: Early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2, and other loci. Nature Neuroscience, 17, 1156–1163. (12)

de la Iglesia, H. O., Fernández-Duque, E., Golombek, D. A., Lanza, N., Duffy, J. F., Czeisler, C. A., & Valeggia, C. R. (2015). Access to electric light is associated with shorter sleep duration in a traditionally hunger-gatherer community. Journal of Biological Rhythms, 30, 342–350. (8)

de la Torre-Ubieta, L., Won, H., Stein, J. L., & Geschwind, D. H. (2016). Advancing the understanding of autism disease mecha- nisms through genetics. Nature Medicine, 22, 345–361. (14)

de la Vega, A., Chang, L. J., Banich, M. T., Wager, T. D., & Yarkoni, T. (2016). Large- scale meta-analysis of human medial frontal cortex reveals tripartite functional organization. Journal of Neuroscience, 36, 6553–6562. (3)

Del Cul, A., Dehaene, S., Reyes, P., Bravo, E., & Slachevsky, A. (2009). Causal role of pre- frontal cortex in the threshold for access to consciousness. Brain, 132, 2531–2540. (13)

Delgado, M. R., Beer, J. S., Fellows, L. K., Huettel, S. A., Platt, M. L., Quirk, G. J., & Schiller, D. (2016). Viewpoints: Dialogues on the functional role of the ventromedial prefrontal cortex. Nature Neuroscience, 19, 1545–1552. (13)

Deliagina, T. G., Orlovsky, G. N., & Pavlova, G. A. (1983). The capacity for generation of rhythmic oscillations is distributed in the lumbosacral spinal cord of the cat. Experimental Brain Research, 53, 81–90. (7)

Dement, W. (1972). Some must watch while some must sleep. San Francisco: Freeman. (8)

08202_ref_ptg01.indd 516 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 517

Dement, W., & Kleitman, N. (1957a). Cyclic variations in EEG during sleep and their relation to eye movements, body motility, and dreaming. Electroencephalography and Clinical Neurophysiology, 9, 673–690. (8)

Dement, W., & Kleitman, N. (1957b). The relation of eye movements during sleep to dream activity: An objective method for the study of dreaming. Journal of Experimental Psychology, 53, 339–346. (8)

Dement, W. C. (1990). A personal history of sleep disorders medicine. Journal of Clinical Neurophysiology, 7, 17–47. (8)

Dennett, D. C. (1991). Consciousness explained. Boston, MA: Little, Brown. (0, 13)

Derégnaucourt, S., Mitra, P. P., Fehér, O., Pytte, C., & Tchernichovski, O. (2005). How sleep affects the developmental learning of bird song. Nature, 433, 710–716. (8)

DeSimone, J. A., Heck, G. L., & Bartoshuk, L. M. (1980). Surface active taste modifiers: A comparison of the physical and psycho- physical properties of gymnemic acid and sodium lauryl sulfate. Chemical Senses, 5, 317–330. (6)

DeSimone, J. A., Heck, G. L., Mierson, S., & DeSimone, S. K. (1984). The active ion transport properties of canine lingual epi- thelia in vitro. Journal of General Physiology, 83, 633–656. (6)

Desmurget, M., Reilly, K. T., Richard, N., Szathmari, A., Mottolese, C., & Sirigu, A. (2009). Movement intention after parietal cortex stimulation in humans. Science, 324, 811–813. (7)

Detre, J. A., & Floyd, T. F. (2001). Functional MRI and its applications to the clinical neurosciences. Neuroscientist, 7, 64–79. (3)

Deutsch, D., Henthorn, T., Marvin, E., & Xu, H. S. (2006). Absolute pitch among American and Chinese conservatory stu- dents: Prevalence differences, and evidence for a speech-related critical period. Journal of the Acoustical Society of America, 119, 719–722. (6)

Deutsch, J. A., Young, W. G., & Kalogeris, T. J. (1978). The stomach signals satiety. Science, 201, 165–167. (9)

DeValois, R. L., Albrecht, D. G., & Thorell, L. G. (1982). Spatial frequency selectiv- ity of cells in macaque visual cortex. Vision Research, 22, 545–559. (5)

Devor, M. (1996). Pain mechanisms. The Neuroscientist, 2, 233–244. (6)

de Vries, G. J., & Södersten, P. (2009). Sex dif- ferences in the brain: The relation between structure and function. Hormones and Behavior, 55, 589–596. (10)

De Young, C. G., Hirsch, J. B., Shane, M. S., Papadenaetris, X., Rajeevan, N., & Gray, J. R. (2010). Testing predictions from personality neuroscience: Brain structure and the big five. Psychological Science, 21, 820–828. (3)

Dhingra, R., Sullivan, L., Jacques, P. F., Wang, T. J., Fox, C. S., Meigs, J. B.,  .  .  .  Vasan, R. S. (2007). Soft drink consumption and risk of developing cardiometabolic risk factors

and the metabolic syndrome in middle-aged adults in the community. Circulation, 116, 480–488. (9)

Di Lorenzo, P. M., Chen, J.-Y., & Victor, J. D. (2009). Quality time: Representation of a multidimensional sensory domain through temporal coding. Journal of Neuroscience, 29, 9227–9238. (6)

Di Lorenzo, P. M., Leshchinskiy, S., Moroney, D. N., & Ozdoba, J. M. (2009). Making time count: Functional evidence for tem- poral coding of taste sensation. Behavioral Neuroscience, 123, 14–25. (1)

Diamond, L. M. (2007). A dynamical systems approach to the development and expression of female same-sex sexuality. Perspectives on Psychological Science, 2, 142–161. (10)

Diamond, M., & Sigmundson, H. K. (1997). Management of intersexuality: Guidelines for dealing with persons with ambigu- ous genitalia. Archives of Pediatrics and Adolescent Medicine, 151, 1046–1050. (10)

Dias, B. G., & Ressler, K. J. (2014). Parental olfactory experience influences behavior and neural structure in subsequent genera- tions. Nature Neuroscience, 17, 89–96. (4)

Dibb-Hajj, S. D., Black, J. A., & Waxman, S. G. (2015). NaV1.9: A sodium channel linked to human pain. Nature Reviews Neuroscience, 16, 511–519. (6)

Dichgans, J. (1984). Clinical symptoms of cer- ebellar dysfunction and their topodiagnos- tic significance. Human Neurobiology, 2, 269–279. (7)

Dick, D. M., Agrawal, A., Keller, M. C., Adkins, A., Aliev, F., Monroe, S., . . . Sher, K. J. (2015). Candidate gene-environment interaction research: Reflections and recommenda- tions. Perspectives on Psychological Science, 10, 37–59. (4)

Dick, D. M., Johnson, J. K., Viken, R. J., & Rose, R. J. (2000). Testing between-family associations in within-family comparisons. Psychological Science, 11, 409–413. (14)

Dick, D. M., Latendresse, S. J., Lansford, J. E., Budde, J. P., Goate, A., Dodge, K. A., . . . Bates, J. E. (2009). Role of GABRA2 in trajectories of externalizing behavior across development and evidence of moderation by parental monitoring. Archives of General Psychiatry, 66, 649–657. (14)

Dick, F., Bates, E., Wulfeck, B., Utman, J. A., Dronkers, N., & Gernsbacher, M. A. (2001). Language deficits, localization, and grammar: Evidence for a distributive model of language breakdown in aphasic patients and neurologically intact individu- als. Psychological Review, 108, 759–788. (13)

Dicke, U., & Roth, G. (2016). Neuronal factors determining high intelligence. Philosophical Transactions of the Royal Society B, 371, 20150180. (12)

Diéguez, C., Vazquez, M. J., Romero, A., López, M., & Nogueiras, R. (2011). Hypothalamic control of lipid metabolism: Focus on leptin, ghrelin and melanocortins. Neuroendocrinology, 94, 1–11. (9)

Dierks, T., Linden, D. E. J., Jandl, M., Formisano, E., Goebel, R., & Lanfermann, H. (1999). Activation of Heschl’s gyrus during auditory hallucinations. Neuron, 22, 615–621. (3)

Dijk, D.-J., & Archer, S. N. (2010). PERIOD3, circadian phenotypes, and sleep homeosta- sis. Sleep Medicine Reviews, 14, 151–160. (8)

Dijk, D.-J., Neri, D. F., Wyatt, J. K., Ronda, J. M., Riel, E., Ritz-deCecco, A.,  .  .  . Czeisler, C. A. (2001). Sleep, performance, circadian rhythms, and light-dark cycles during two space shut- tle flights. American Journal of Physiology: Regulatory, Integrative, and Comparative Physiology, 281, R1647–R1664. (8)

Diller, L., Packer, O. S., Verweij, J., McMahon, M. J., Williams, D. R., & Dacey, D. M. (2004). L and M cone contributions to the midget and parasol ganglion cell receptive fields of macaque monkey retina. Journal of Neuroscience, 24, 1079–1088. (5)

Dimitriou, M. (2014). Human spindle sen- sitivity reflects the balance of activity between antagonistic muscles. Journal of Neuroscience, 34, 13644–13655. (7)

Dimond, S. J. (1979). Symmetry and asymmetry in the vertebrate brain. In D. A. Oakley & H. C. Plotkin (Eds.), Brain, behaviour, and evolution (pp. 189–218). London: Methuen. (13)

Di Napoli, M., Zha, A. M., Godoy, D. A., Masotti, L., Schreuder, F. H. B. M., Popa- Wagner, A., & Behrouz, R. (2016). Prior can- nabis use is associated with outcome after intracerebral hemorrhage. Cerebrovascular Diseases, 41, 248–255. (4)

Ding, F., O’Donnell, J., Xu, Q., Kang, N., Goldman, N., & Nedergaard, M. (2016). Changes in the composition of brain inter- stitial ions control the sleep-wake cycle. Science, 352, 550–555. (8)

Dinstein, I., Hasson, U., Rubin, N., & Heeger, D. J. (2007). Brain areas selective for both observed and executed movements. Journal of Neurophysiology, 98, 1415–1427. (7)

Dinstein, I., Thomas, C., Humphreys, K., Minshew, N., Behrmann, M., & Heeger, D. J. (2010). Normal movement selectivity in autism. Neuron, 66, 461–469. (7)

Di Paola, M., Caltagirone, C., & Petrosini, L. (2013). Prolonged rock climbing activity induces structural changes in cerebellum and parietal lobe. Human Brain Mapping, 34, 2707–2714. (7)

Disner, S. G., Beevers, C. G., Lee, H.-J., Ferrell, R. E., Hariri, A. R., & Telch, M. J. (2013). War zone stress interacts with the 5-HTTLPR polymorphism to predict the development of sustained attention for negative emotion stim- uli in soldiers returning from Iraq. Clinical Psychological Science, 1, 413–425. (11)

Doesburg, S. M., Green, J. J., McDonald, J. J., & Ward, L. M. (2009). Rhythms of consciousness: Binocular rivalry reveals large-scale oscillatory network dynamics mediating visual perception. PLoS One, 4, e6142. (13)

Doremus-Fitzwater, T. L., Barretto, M., & Spear, L. P. (2012). Age-related differences

08202_ref_ptg01.indd 517 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

518 REFERENCES

in impulsivity among adolescent and adult Sprague-Dawley rats. Behavioral Neuroscience, 126, 735–741. (4)

Doricchi, F., Guariglia, P., Gasparini, M., & Tomaiuolo, F. (2005). Dissociation between physical and mental number line bisection in right hemisphere brain damage. Nature Neuroscience, 8, 1663–1665. (13)

Dormal, G., Lepore, F., & Collignon, O. (2012). Plasticity of the dorsal “spatial” stream in visually deprived individuals. Neural Plasticity, Article 687659. (5)

Doty, R. L., Applebaum, S., Zusho, H., & Settle, R. G. (1985). Sex differences in odor iden- tification ability: A cross-cultural analysis. Neuropsychologia, 23, 667–672. (6)

Doty, R. L., & Kamath, V. (2014). The influ- ences of age on olfaction: A review. Frontiers in Psychology, 5, PMC 3916729. (6)

Douaud, G., Groves, A. R., Tamnes, C. K., Westlye, L. T., Duff, E. P., Engvig, A., . . . Johansen-Berg, H. (2014). A common brain network links development, aging, and vulnerability to disease. Proceedings of the National Academy of Sciences (U.S.A.), 111, 17648–17653. (4)

Dowling, J. E. (1987). The retina. Cambridge, MA: Harvard University Press. (5)

Dowling, J. E., & Boycott, B. B. (1966). Organization of the primate retina. Proceedings of the Royal Society of London, B, 166, 80–111. (5)

Downing, P. E., Chan, A. W.-Y., Peelen, M. V., Dodds, C. M., & Kanwisher, N. (2005). Domain specificity in visual cortex. Cerebral Cortex, 16, 1453–1461. (5)

Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004). Changes in grey matter induced by training. Nature, 427, 311–312. (4)

Dreger, A. D. (1998). Hermaphrodites and the medical invention of sex. Cambridge, MA: Harvard University Press. (10)

Dreher, J. C., Dunne, S., Pazderska, A., Frodl, T., Nolan, J. J., & O’Doherty, J. P. (2016). Testosterone causes both prosocial and anti- social status-enhancing behaviors in human males. Proceedings of the National Academy of Sciences (U.S.A.), 113, 11633–11638. (11)

Dresler, M., Koch, S. P., Wehrle, R., Spoormaker, V. I., Hosboer, F., Steiger, A., . . . Czisch, M. (2011). Dreamed movement elicits activa- tion in the sensorimotor cortex. Current Biology, 21, 1833–1837. (8)

Dronkers, N. F., Plaisant, O., Iba-Zizen, M. T., & Cabanis, E. A. (2007). Paul Broca’s historic cases: high resolution MR imaging of the brains of Leborgne and Lelong. Brain, 130, 1432–1441. (13)

Drzyzga, L. R., Marcinowska, A., & Obuchowicz, E. (2009). Antiapoptotic and neurotrophic effects of antidepressants: A review of clinical and experimental studies. Brain Research Bulletin, 79, 248–257. (14)

Duan, X., Chang, J. H., Ge, S., Faulkner, R. L., Kim, J. Y., Kitabatake, Y., . . . Song, H. (2007). Disrupted-in-schizophrenia 1 regulated

integration of newly generated neurons in the adult brain. Cell, 130, 1146–1158. (14)

Duboué, E. R., & Keene, A. C. (2016). Chapter 15–Investigating the evolution of sleep in the Mexican cavefish. In A. C. Keene, M. Yoshizawa, & S. E. McGaugh (Eds.), Biology and Evolution of the Mexican cave- fish (pp. 291–308). Amsterdam: Elsevier. (8)

Deboué, E. R., Keene, A. C., & Borowsky, R. L. (2011). Evolutionary convergence on sleep loss in cavefish populations. Current Biology, 21, 671–676. (8)

Ducommun, C. Y., Michel, C. M., Clarke, S., Adriani, M., Seeck, M., Landis, T., & Blanke, O. (2004). Cortical motion deafness. Neuron, 43, 765–777. (6)

Duff, M. C., Hengst, J., Tranel, D., & Cohen, N. J. (2006). Development of shared information in communication despite hip- pocampal amnesia. Nature Neuroscience, 9, 140–146. (12)

Duke, A. A., Bègue, L., Bell, R., & Eisenlohr- Moul, T. (2013). Revisiting the serotonin- aggression relation in humans: A meta- analysis. Psychological Bulletin, 139, 1148–1172. (11)

Duman, R. S., & Aghajanian, G. K. (2012). Synaptic dysfunction in depression: Potential therapeutic targets. Science, 338, 68–72. (14)

Dunn, B. D., Galton, H. C., Morgan, R., Evans, D., Olliver, C., Meyer, M.,  .  .  .  Dalgeish, T. (2010). Listening to your heart: How interoception shapes emotion experience and intuitive decision making. Psychological Science, 21, 1835–1844. (11)

Dunsmoor, J. E., Murty, V. P., Davachi, L., & Phelps, E. A. (2015). Emotional learn- ing selectively and retroactively strengthens memories for related events. Nature, 520, 345–348. (12)

Durante, K. M., & Li, N. P. (2009). Oestradiol level and opportunistic mating in women. Biology Letters, 5, 179–182. (10)

Durso, G. R. O., Luttrell, A., & Way, B. M. (2015). Over-the-counter relief from pains and pleasures alike: Acetaminophen blunts evaluation sensitivity to both negative and positive stimuli. Psychological Science, 26, 750–758. (6)

Duvarci, S., Bauer, E. P., & Paré, D. (2009). The bed nucleus of the stria termina- lis mediates inter-individual variations in anxiety and fear. Journal of Neuroscience, 29, 10357–10361. (11)

Dyal, J. A. (1971). Transfer of behavioral bias: Reality and specificity. In E. J. Fjerdingstad (Ed.), Chemical transfer of learned informa- tion (pp. 219–263). New York: American Elsevier. (12)

Earnest, D. J., Liang, F.-Q., Ratcliff, M., & Cassone, V. M. (1999). Immortal time: Circadian clock properties of rat suprachi- asmatic cell lines. Science, 283, 693–695. (8)

Eastman, C. I., Hoese, E. K., Youngstedt, S. D., & Liu, L. (1995). Phase-shifting human circadian rhythms with exercise during

the night shift. Physiology & Behavior, 58, 1287–1291. (8)

Eaves, L. J., Martin, N. G., & Heath, A. C. (1990). Religious affiliation in twins and their parents: Testing a model of cultural inheritance. Behavior Genetics, 20, 1–22. (4)

Eccles, J. C. (1964). The physiology of synapses. Berlin: Springer-Verlag. (2)

Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988). Coherent oscillations: A mecha- nism of feature linking in the visual cortex? Biological Cybernetics, 60, 121–130. (13)

Eckstrand, K. L., Ding, Z. H., Dodge, N. C., Cowan, R. L., Jacobson, J. L., Jacobson, S. W., & Avison, M. J. (2012). Persistent dose-dependent changes in brain struc- ture in young adults with low-to-moderate alcohol exposure in utero. Alcoholism— Clinical & Experimental Research, 36, 1892–1902. (4)

Edelman, G. M. (1987). Neural Darwinism. New York: Basic Books. (4)

Edelstein, R. S., Wardecker, B. M., Chopik, W. J., Moors, A. C., Shipman, E. L., & Lin, N. J. (2015). Prenatal hormones in first-time expectant parents: Longitudinal changes and within-couple correlations. American Journal of Human Biology, 27, 317–325. (10)

Eden, A. S., Schreiber, J., Anwander, A., Keuper, K., Laeger, I., Zwanzger, P.,  .  .  .  Dobel, C. (2015). Emotion regulation and trait anxiety are predicted by the microstructure of fibers between amygdala and prefrontal cortex. Journal of Neuroscience, 35, 6020–6027. (11)

Edman, G., Åsberg, M., Levander, S., & Schalling, D. (1986). Skin conductance habituation and cerebrospinal fluid 5-hydroxy-indoleacetic acid in suicidal patients. Archives of General Psychiatry, 43, 586–592. (11)

Ehrhardt, A. A., & Money, J. (1967). Progestin- induced hermaphroditism: IQ and psycho- sexual identity in a study of ten girls. Journal of Sex Research, 3, 83–100. (10)

Ehrlich, P. R., Dobkin, D. S., & Wheye, D. (1988). The birder’s handbook. New York: Simon & Schuster. (9)

Eichenbaum, H. (2000). A cortical-hippocam- pal system for declarative memory. Nature Reviews Neuroscience, 1, 41–50. (12)

Eichenbaum, H. (2002). The cognitive neu- roscience of memory. New York: Oxford University Press. (12)

Eichenbaum, H. (2016). Still searching for the engram. Learning & Behavior, 44, 209–222. (12)

Eidelberg, E., & Stein, D. G. (1974). Functional recovery after lesions of the nervous system. Neurosciences Research Program Bulletin, 12, 191–303. (4)

Eippert, F., Finsterbusch, J., Binget, U., & Büchel, C. (2009). Direct evidence for spi- nal cord involvement in placebo analgesia. Science, 326, 404. (6)

Eisenberger, N. I., Lieberman, M. D., & Williams, K. D. (2003). Does rejection hurt?

08202_ref_ptg01.indd 518 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 519

An fMRI study of social exclusion. Science, 302, 290–292. (6)

Eisenbruch, A. B., Simmons, Z. L., & Roney, J. R. (2015). Lady in red: Hormonal predictors of women’s clothing choices. Psychological Science, 26, 1332–1338. (10)

Eisenstein, E. M., & Cohen, M. J. (1965). Learning in an isolated prothoracic insect ganglion. Animal Behaviour, 13, 104–108. (12)

Ejaz, N., Hamada, M., & Diedrichsen, J. (2015). Hand use predicts the structure of repre- sentations in sensorimotor cortex. Nature Neuroscience, 18, 1034–1040. (3)

Ek, M., Engblom, D., Saha, S., Blomqvist, A., Jakobsson, P.-J., & Ericsson-Dahlstrand, A. (2001). Pathway across the blood–brain bar- rier. Nature, 410, 430–431. (9)

Ekman, P., & Friesen, W. V. (1984). Unmasking the face (2nd ed.). Palo Alto, CA: Consulting Psychologists Press. (11)

Elbert, T., Candia, V., Altenmüller, E., Rau, H., Sterr, A., Rockstroh, B.,  .  .  .  Taub, E. (1998). Alteration of digital representations in somatosensory cortex in focal hand dys- tonia. Neuroreport, 9, 3571–3575. (4)

Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B., & Taub, E. (1995). Increased cortical representation of the fingers of the left hand in string players. Science, 270, 305–307. (4)

Eldar, E., Cohen, J. D., & Niv, Y. (2013). The effects of neural gain on attention and learn- ing. Nature Neuroscience, 16, 1146–1153. (8)

Eldridge, L. L., Engel, S. A., Zeineh, M. M., Bookheimer, S. Y., & Knowlton, B. J. (2005). A dissociation of encoding and retrieval processes in the human hippocampus. Journal of Neuroscience, 25, 3280–3286. (12)

Elias, C. F., Lee, C., Kelly, J., Aschkenazi, C., Ahima, R. S., Couceyro, P. R., . . . Elmquist, J. K. (1998). Leptin activates hypothalamic CART neurons projecting to the spinal cord. Neuron, 21, 1375–1385. (9)

Ellacott, K. L. J., & Cone, R. D. (2004). The central melanocortin system and the inte- gration of short- and long-term regulators of energy homeostasis. Recent Progress in Hormone Research, 59, 395–408. (9)

Ellemberg, D., Lewis, T. L., Maurer, D., Brar, S., & Brent, H. P. (2002). Better perception of global motion after monocular than after binocular deprivation. Vision Research, 42, 169–179. (5)

Elliott, T. R. (1905). The action of adren- alin. Journal of Physiology (London), 32, 401–467. (2)

Ellis, L., & Ames, M. A. (1987). Neurohormonal functioning and sexual orientation: A theory of homosexuality–heterosexuality. Psychological Bulletin, 101, 233–258. (10)

Ellis, L., Ames, M. A., Peckham, W., & Burke, D. (1988). Sexual orientation of human off- spring may be altered by severe mater- nal stress during pregnancy. Journal of Sex Research, 25, 152–157. (10)

Ellis, L., & Cole-Harding, S. (2001). The effects of prenatal stress, and of prenatal alcohol and

nicotine exposure, on human sexual orienta- tion. Physiology & Behavior, 74, 213–226. (10)

Ells, L. J., Hillier, F. C., Shucksmith, J., Crawley, H., Harbige, L., Shield, J., . . . Summerbell, C. D. (2008). A systematic review of the effect of dietary exposure that could be achieved through normal dietary intake on learning and performance of school-aged children of relevance to UK schools. British Journal of Nutrition, 100, 927–936. (9)

Elgoyhen, A. B., Langguth, B., De Ridder, D., & Vanneste, S. (2015). Tinnitus: Perspectives from human neuroimaging. Nature Reviews Neuroscience, 16, 632–642. (6)

Elsabbagh, M., Divan, G., Koh, Y. J., Kim, Y. S., Kauchali, S., Marcin, C.,  .  .  . Fombonne, E. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism Research, 5, 160–179. (14)

Eng, M. Y., Schuckit, M. A., & Smith, T. L. (2005). The level of response to alcohol in daughters of alcoholics and controls. Drug and Alcohol Dependence, 79, 83–93. (14)

Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. (2016). Selective modulation of cortical state during spatial attention. Science, 354, 1140–1144. (13)

Epp, J. R., Mera, R. S., Kohler, S., Josselyn, S. A., & Frankland, P. W. (2016). Neurogenesis- mediated forgetting minimizes proactive interference. Nature Communications, 7, article 10838. (12)

Epping-Jordan, M. P., Watkins, S. S., Koob, G. F., & Markou, A. (1998). Dramatic decreases in brain reward function during nicotine withdrawal. Nature, 393, 76–79. (14)

Erickson, C., & Lehrman, D. (1964). Effect of cas- tration of male ring doves upon ovarian activ- ity of females. Journal of Comparative and Physiological Psychology, 58, 164–166. (10)

Erickson, K. I., Prakash, R. S., Voss, M. W., Chaddock, L., Heo, S., McLaren, M.,  .  .  . Kramer, A. F. (2010). Brain-derived neurotrophic factor is associated with age- related decline in hippocampal volume. Journal of Neuroscience, 30, 5368–5375. (4)

Erlich, J. C., Brunton, B. W., Duan, C. A., Hanks, T. D., & Brody, C. D. (2015). Distinct effects of prefrontal and pari- etal cortex inactivations on an accumula- tion of evidence task in the rat. eLife, 4, e05457. (13)

Ernst, A., Alkass, K., Bernard, S., Salehpour, M., Perl, S., Tisdale, J.,  .  .  . Frisén, J. (2014). Neurogenesis in the striatum of the adult human brain. Cell, 156, 1072–1083. (4)

Ersche, K. D., Gillan, C. M., Jones, P. S., Williams, G. B., Ward, L. H. E., Luijten, M.,  .  .  . Robbins, T. W. (2016). Carrots and sticks fail to change behavior in cocaine addiction. Science, 352, 1468–1471. (14)

Ersche, K. D., Jones, P. S., Williams, G. B., Turton, A. J., Robbins, T. W., & Bullmore, E. T. (2012). Abnormal brain structure impli- cated in stimulant drug addiction. Science, 335, 601–604. (14)

Eschenko, O., Mölle, M., Born, J., & Sara, S. J. (2006). Elevated sleep spindle density after learning or after retrieval in rats. Journal of Neurophysiology, 26, 12914–12920. (8)

Esser, S. K., Hill, S., & Tononi, G. (2009). Breakdown of effective connectivity during slow wave sleep: Investigating the mecha- nism underlying a cortical gate using large- scale modeling. Journal of Neurophysiology, 102, 2096–2111. (8)

Estes, M. L., & McAllister, A. K. (2016). Maternal immune activation: Implications for neuropsychiatric disorders. Science, 353, 772–777. (14)

Etcoff, N. L., Ekman, P., Magee, J. J., & Frank, M. G. (2000). Lie detection and language comprehension. Nature, 405, 139. (13)

Etgen, A. M., Chu, H.-P., Fiber, J. M., Karkanias, G. B., & Morales, J. M. (1999). Hormonal integration of neurochemical and sensory signals governing female reproductive behavior. Behavioural Brain Research, 105, 93–103. (10)

Euston, D. R., Tatsuno, M., & McNaughton, B. L. (2007). Fast-forward playback of recent memory sequences in prefrontal cortex dur- ing sleep. Science, 318, 1147–1150. (8)

Evans, D. A., Funkenstein, H. H., Albert, M. S., Scherr, P. A., Cook, N. R., Chown, M. J.,  .  .  .  Taylor, J. O. (1989). Prevalence of Alzheimer’s disease in a community pop- ulation of older persons. Journal of the American Medical Association, 262, 2551– 2556. (12)

Evarts, E. V. (1979). Brain mechanisms of movement. Scientific American, 241(3), 164–179. (7)

Facoetti, A., Corradi, N., Ruffino, M., Gori, S., & Zorzi, M. (2010). Visual spatial atten- tion and speech segmentation are both impaired in preschoolers at familial risk for developmental dyslexia. Dyslexia, 16, 22–239. (13)

Falk, D., Lepore, F. E., & Noe, A. (2013). The cerebral cortex of Albert Einstein: A descrip- tion and preliminary analysis of unpublished photographs. Brain, 136, 1304–1327. (3)

Falkner, A. L., Grosenick, L., Davidson, T. J., Deisseroth, K., & Lin, D. (2016). Hypothalamic control of male aggression- seeking behavior. Nature Neuroscience, 19, 596–604. (11)

Falleti, M. G., Maruff, P., Collie, A., Darby, D. G., & McStephen, M. (2003). Qualitative similarities in cognitive impairment asso- ciated with 24 h of sustained wakeful- ness and a blood alcohol concentration of 0.05%. Journal of Sleep Research, 12, 265–274. (8)

Fan, W., Ellacott, K. L. J., Halatchev, I. G., Takahashi, K., Yu, P., & Cone, R. D. (2004). Cholecystokinin-mediated suppression of feeding involves the brainstem melano- cortin system. Nature Neuroscience, 7, 335–336. (9)

Fantz, R. L. (1963). Pattern vision in newborn infants. Science, 140, 296–297. (5)

08202_ref_ptg01.indd 519 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

520 REFERENCES

Farah, M. J., Wilson, K. D., Drain, M., & Tanaka, J. N. (1998). What is “special” about face perception? Psychological Review, 105, 482–498. (5)

Farber, N. B., Newcomer, J. W., & Olney, J. W. (1999). Glycine agonists: What can they teach us about schizophrenia? Archives of General Psychiatry, 56, 13–17. (14)

Farber, S. L. (1981). Identical twins reared apart: A reanalysis. New York: Basic Books. (12)

Farivar, R. (2009). Dorsal-ventral integration in object recognition. Brain Research Reviews, 61, 144–153. (5)

Farmer, M. E., & Klein, R. M. (1995). The evidence for a temporal processing deficit linked to dyslexia: A review. Psychonomic Bulletin & Review, 2, 460–493. (13)

Fatemi, S. H., Aldinger, K. A., Ashwood, P., Bauman, M. L., Blaha, C. D., Blatt, G. J.,  .  .  . Welsh, J. P. (2012). Consensus paper: Pathological role of the cerebellum in autism. Cerebellum, 11, 777–807. (14)

Fatemi, S. H., & Folsom, T. D. (2009). The neurodevelopmental hypothesis of schizo- phrenia, revisited. Schizophrenia Bulletin, 35, 528–548. (14)

Fedrigo, O., Pfefferle, A. D., Babbitt, C. C., Haygood, R., Wall, C. E., & Wray, G. A. (2011). A potential role for glucose trans- porters in the evolution of human brain size. Brain, Behavior and Evolution, 78, 315–326. (4)

Feeney, D. M., & Sutton, R. L. (1988). Catecholamines and recovery of function after brain damage. In D. G. Stein & B. A. Sabel (Eds.), Pharmacological approaches to the treatment of brain and spinal cord injury (pp. 121–142). New York: Plenum Press. (4)

Feeney, D. M., Sutton, R. L., Boyeson, M. G., Hovda, D. A., & Dail, W. G. (1985). The locus coeruleus and cerebral metabolism: Recovery of function after cerebral injury. Physiological Psychology, 13, 197–203. (4)

Feinstein, J. S., Adolphs, R., Damasio, A., & Tranel, D. (2011). The human amygdala and the induction and experience of fear. Current Biology, 21, 34–38. (11)

Feinstein, J. S., Buzza, C., Hurlemann, R., Follmer, R. L., Dahdaleh, N. S., Coryell, W. H., . . . Wemmie, J. A. (2013). Fear and panic in humans with bilateral amygdala damage. Nature Neuroscience, 16, 270–272. (11)

Fell, J., & Axmacher, N. (2011). The role of phase synchronization in memory pro- cesses. Nature Reviews Neuroscience, 12, 105–118. (13)

Feller, G. (2010). Protein stability and enzyme activity at extreme biological temperatures. Journal of Physics—Condensed Matter, 22, article 323101. (9)

Feltmann, K., Konradsson-Geuken, Å., De Bundel, D., Lindskog, M., & Schilström, B. (2015). Antidepressant drugs specifically inhibiting norepinephrine reuptake enhance recognition memory in rats. Behavioral Neuroscience, 129, 701–708. (14)

Fendrich, R., Wessinger, C. M., & Gazzaniga, M. S. (1992). Residual vision in a scotoma: Implications for blindsight. Science, 258, 1489–1491. (5)

Feng, J., Fouse, S., & Fan, G. (2007). Epigenetic regulation of neural gene expression and neuronal function. Pediatric Research, 61 (5), Part 2, 58R–63R. (4)

Feng, J., Spence, I., & Pratt, J. (2007). Playing an action video game reduces gender dif- ferences in spatial cognition. Psychological Science, 18, 850–855. (10)

Fenselau, H., Campbell, J. N., Verstegen, A. M. J., Madara, J. C., Xu, J., Shah, B. P.,  .  .  . Lowell, B. B. (2017). A rapidly acting glutamatergic ARC S PVH satiety circuit postsynaptically regulated by alpha-MSH. Nature Neuroscience, 20, 42–51. (9)

Fentress, J. C. (1973). Development of groom- ing in mice with amputated forelimbs. Science, 179, 704–705. (7)

Ferando, I., Faas, G. C., & Mody. I. (2016). Diminished KCC2 confounds synapse speci- ficity of LTP during senescence. Nature Neuroscience, 19, 1197–1200. (12)

Ferbinteanu, J. (2016). Contributions of hip- pocampus and striatum to memory-guided behavior depend on past experience. Journal of Neuroscience, 36, 6459–6470. (12)

Fergusson, D. M., Boden, J. M., Horwood, L. J., Miller, A., & Kennedy, M. A. (2012). Moderating role of the MAOA genotype in antisocial behavior. British Journal of Psychiatry, 200, 116–123. (11)

Fernández-Ruiz, J., Moro, M. A., & Martiínez- Orgado, J. (2015). Cannabinoids in neurode- generative disorders and stroke/brain trauma: From preclinical models to clinical applica- tions. Neurotherapeutics, 12, 793–806. (4)

Ferreira, F., Bailey, K. G. D., & Ferraro, V. (2002). Good-enough representations in lan- guage comprehension. Current Directions in Psychological Science, 11, 11–15. (13)

Field, L. L., Shumansky, K., Ryan, J., Truong, D, Swiergala, E., & Kaplan, B. J. (2013). Dense- map genome scan for dyslexia supports loci at 4q13, 16p12, 17q22; suggests novel locus at 7q36. Genes, Brain and Behavior, 12, 56–69. (13)

Fields, R. D. (2015). A new mechanism of ner- vous system plasticity: Activity-dependent myelination. Nature Reviews Neuroscience, 16, 756–766. (4)

Filosa, J. A., Bonev, A. D., Straub, S. V., Meredith, A. L., Wilkerson, M. K., Aldrich, R. W., & Nelson, M. T. (2006). Local potas- sium signaling couples neuronal activ- ity to vasodilation in the brain. Nature Neuroscience, 9, 1397–1403. (1)

Fine, I. Wade, A. R., Brewer, A. A., May, M. G., Goodman, D. F., Boynton, G. M., . . . McLeod, D. I. A. (2003). Long-term deprivation affects visual perception and cortex. Nature Neuroscience, 6, 915–916. (5)

Finger, S., & Roe, D. (1996). Gustave Dax and the early history of cerebral dominance. Archives of Neurology, 53, 806–813. (13)

Fink, B., Hugill, N., & Lange, B. P. (2012). Women’s body movements are a potential cue to ovulation. Personality and Individual Differences, 53, 759–763. (10)

Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., . . . Constable, R. T. (2015). Functional connectome fin- gerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18, 1664–1671. (3)

Fisch, L., Privman, E., Ramot, M., Harel, M., Nir, Y., Kipervasser, S.,  .  .  .  Malach, R. (2009). Neural “ignition”: Enhanced acti- vation linked to perceptual awareness in human ventral stream visual cortex. Neuron, 64, 562–574. (13)

Fisher, S. E., Vargha-Khadem, F., Watkins, K. E., Monaco, A. P., & Pembrey, M. E. (1998). Localisation of a gene implicated in a severe speech and language disorder. Nature Genetics, 18, 168–170. (13)

Fitts, D. A., Starbuck, E. M., & Ruhf, A. (2000). Circumventricular organs and ANGII-induced salt appetite: Blood pres- sure and connectivity. American Journal of Physiology, 279, R2277–R2286. (9)

Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D.,  .  .  .  Dale, A. M. (2009). One-year brain atrophy evident in healthy aging. Journal of Neuroscience, 29, 15223–15231. (4)

Fjell, A. M., Westlye, L. T., Amlien, I., Tamnes, C. K., Grydeland, H., Engvig, A., .  .  .  Walhovd, K. B. (2015). High-expanding cor- tical regions in human development and evolution are related to higher intellectual abilities. Cerebral Cortex, 25, 26–34. (12)

Fjerdingstad, E. J. (1973). Transfer of learn- ing in rodents and fish. In W. B. Essman & S. Nakajima (Eds.), Current biochemi- cal approaches to learning and memory (pp. 73–98). Flushing, NY: Spectrum. (12)

Flatz, G. (1987). Genetics of lactose digestion in humans. Advances in Human Genetics, 16, 1–77. (9)

Fleet, W. S., & Heilman, K. M. (1986). The fatigue effect in hemispatial neglect. Neurology, 36(Suppl. 1), 258. (4)

Fletcher, M. A., Low, K. A., Boyd, R., Zimmerman, B., Gordon, B. A., Tan, C. H., . . .  Fabiani, M. (2016). Comparing aging and fitness effects on brain anatomy. Frontiers in Human Neuroscience, 10, Article 286. (4)

Fletcher, G. J. O., Simpson, J. A., Campbell, L., & Overall, N. C. (2015). Pair-bonding, romantic love, and evolution: The curi- ous case of Homo sapiens. Perspectives on Psychological Science, 10, 20–36. (12)

Fletcher, P. C., McKenna, P. J., Frith, C. D., Grasby, P. M., Friston, K. J., & Dolan, R. J. (1998). Brain activations in schizophre- nia during a graded memory task studied with functional neuroimaging. Archives of General Psychiatry, 55, 1001–1008. (14)

Fletcher, R., & Voke, J. (1985). Defective colour vision. Bristol, England: Hilger. (5)

08202_ref_ptg01.indd 520 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 521

Flinker, A., Korzeniewska, A., Shestyuk, A. Y., Franaszcuk, P. J., Dronkers, N. F., Knight, R. T., & Crone, N. E. (2015). Redefining the role of Broca’s area in speech. Proceedings of the National Academy of Sciences (U.S.A.), 112, 2871–2875. (13)

Flor, H., Elbert, T., Knecht, S., Wienbruch, C., Pantev, C., Birbaumer, N., . . . Taub, E. (1995). Phantom-limb pain as a perceptual corre- late of cortical reorganization following arm amputation. Nature, 375, 482–484. (4)

Florence, S. L., & Kaas, J. H. (1995). Large- scale reorganization at multiple levels of the somatosensory pathway follows therapeutic amputation of the hand in monkeys. Journal of Neuroscience, 15, 8083–8095. (4)

Flowers, K. A., & Hudson, J. M. (2013). Motor laterality as an indicator of speech laterality. Neuropsychology, 27, 256–265. (13)

Flynn, J. M., & Boder, E. (1991). Clinical and electrophysiological correlates of dysphonet- ic and dyseidetic dyslexia. In J. F. Stein (Ed.), Vision and visual dyslexia (pp. 121–131). Vol. 13 of J. R. Cronly-Dillon (Ed.), Vision and visual dysfunction. Boca Raton, FL: CRC Press. (13)

Foerde, K., Knowlton, B. J., & Poldrack, R. A. (2006). Modulation of competing memory systems by distraction. Proceedings of the National Academy of Sciences, USA, 103, 11778–11783. (12)

Foerde, K., Race, E., Verfaellie, M., & Shohamy, D. (2013). A role for the medial temporal lobe in feedback-driven learning: Evidence from amnesia. Journal of Neuroscience, 33, 5698–5704. (12)

Foerde, K., & Shohamy, D. (2011). Feedback timing modulates brain systems for learn- ing in humans. Journal of Neuroscience, 31, 13157–13167. (12)

Foerde, K., Steinglass, J. E., Shohamy, D., & Walsh, B. T. (2015). Neural mechanisms supporting maladaptive food choices in anorexia nervosa. Nature Neuroscience, 18, 1571–1573. (9)

Fogel, S. M., Nader, R., Cote, K. A., & Smith, C. T. (2007). Sleep spindles and learning poten- tial. Behavioral Neuroscience, 121, 1–10. (8)

Foltz, E. I., & White, L. E. Jr. (1962). Pain “relief” by frontal cingulumotomy. Journal of Neurosurgery, 19, 89–100. (6)

Foo, H., & Mason, P. (2009). Analgesia accompanying food consumption requires ingestion of hedonic foods. Journal of Neuroscience, 29, 13053–13062. (6)

Forger, N. G., & Breedlove, S. M. (1987). Motoneuronal death during human fetal development. Journal of Comparative Neurology, 234, 118–122. (4)

Foroni, F., & Semin, G. R. (2009). Language that puts you in touch with your bodily feel- ings. Psychological Science, 20, 974–980. (7)

Forster, B., & Corballis, M. C. (2000). Interhemispheric transfer of colour and shape information in the presence and absence of the corpus callosum. Neuropsychologia, 38, 32–45. (13)

Fortin, N. J., Agster, K. L., & Eichenbaum, H. B. (2002). Critical role of the hippocampus in memory for sequences of events. Nature Neuroscience, 5, 458–462. (12)

Foss-Feig, J. H., McGugin, R. W., Gauthier, I., Mash, L. E., Ventola, P., & Cascio, C. J. (2016). A functional neuroimaging study of fusi- form response to restricted interests in chil- dren and adolescents with autism spectrum disorder. Journal of Neurodevelopmental Disorders, 8, article 15. (5)

Foss-Feig, J. H., Tadin, D., Schauder, K. B., & Cascio, C. J. (2013). A substantial and unex- pected enhancement of motion percep- tion in autism. Journal of Neuroscience, 33, 8243–8249. (14)

Fotopoulou, A., Solms, M., & Turnbull, O. (2004). Wishful reality distortions in con- fabulation: A case report. Neuropsychologia, 47, 727–744. (12)

Foulkes, D., & Domhoff, G. W. (2014). Bottom-up or top-down in dream neuroscience? A top-down critique of two bottom-up studies. Consciousness and Cognition, 27, 168–171. (8)

Fountoulakis, K. N., Veroniki, A. A., Siamouli, M., & Moller, H. J. (2013). No role for initial severity on the efficacy of antidepressants: Results of a multi-meta-analysis. Archives of General Psychiatry, 12, Article 26. (14)

Frank, M. J., & Claus, E. D. (2006). Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision mak- ing, and reversal. Psychological Review, 113, 300–326. (12)

Frank, R. A., Mize, S. J. S., Kennedy, L. M., de los Santos, H. C., & Green, S. J. (1992). The effect of Gymnema sylvestre extracts on the sweetness of eight sweeteners. Chemical Senses, 17, 461–479. (6)

Franz, E. A., Waldie, K. E., & Smith, M. J. (2000). The effect of callosotomy on novel versus familiar bimanual actions: A neural dissociation between controlled and auto- matic processes? Psychological Science, 11, 82–85. (13)

Frassinetti, F., Pavani, F., & Làdavas, E. (2002). Acoustical vision of neglected stimuli: Interaction among spatially converg- ing audiovisual inputs in neglect patients. Journal of Cognitive Neuroscience, 14, 62–69. (13)

Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M.,  .  .  . McCarthy, M. I. (2007). A com- mon variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science, 316, 889–894. (9)

Freed, C. R., Greene, P. E., Breeze, R. E., Tsai, W.-Y., DuMouchel, W., Kao, R.,  .  .  .  Fahn, S. (2001). Transplantation of embryonic dopamine neurons for severe Parkinson’s disease. New England Journal of Medicine, 344, 710–719. (7)

Freedman, M. S., Lucas, R. J., Soni, B., von Schantz, M., Muñoz, M., David-Gray, Z., &

Foster, R. (1999). Regulation of mamma- lian circadian behavior by non-rod, non- cone, ocular photoreceptors. Science, 284, 502–504. (8)

Freeman, J., Ziemba, C. M., Heeger, D. J., Simoncelli, E. P., & Movshon, J. A. (2013). A functional and perceptual signature of the second visual area in primates. Nature Neuroscience, 16, 974–981. (5)

Freeman, J. H. (2015). Cerebellar learn- ing mechanisms. Brain Research, 1621, 260–269. (12)

Freire, C., & Koifman, S. (2012). Pesticide exposure and Parkinson’s disease: Epidemiological evidence of association. Neurotoxicology, 33, 947–971. (7)

Freire, T. F. V., Fleck, M. P. D., & da Rocha, N. S. (2016). Remission of depression fol- lowing electroconvulsive therapy (ECT) is associated with higher levels of brain- derived neurotrophic factor (BDNF). Brain Research Bulletin, 121, 263–269. (14)

Frese, M., & Harwich, C. (1984). Shiftwork and the length and quality of sleep. Journal of Occupational Medicine, 26, 561–566. (8)

Frey, S. H., Bogdanov, S., Smith, J. C., Watrous, S., & Breidenbach, W. C. (2008). Chronically deafferented sensory cortex recovers a grossly typical organization after allogenic hand transplantation. Current Biology, 18, 1530–1534. (4)

Friedman, E. S., Thase, M. E., Wisniewski, S. R., Trivedi, M. H., Biggs, M. M., Fava, M., . . . Rush, A. J. (2009). Cognitive therapy augmentation versus CT switch treatment: A STAR*D report. International Journal of Cognitive Therapy, 2, 66–87. (14)

Friedman, M. I., & Stricker, E. M. (1976). The physiological psychology of hunger: A phys- iological perspective. Psychological Review, 83, 409–431. (9)

Friedmann, N., & Rusou, D. (2015). Critical period for first language: the crucial role of language input during the first year of life. Current Opinion in Neurobiology, 35, 27–34. (13)

Frisén, L., Nordenström, A., Falhammar, H., Filipsson, H., Holmdahl, G., Janson, P. O.,  .  .  .  Nordenskjold, A. (2009). Gender role behavior, sexuality, and psychoso- cial adaptation in women with congenital adrenal hyperplasia due to CYP21A2 defi- ciency. Journal of Clinical Endocrinology & Metabolism, 94, 3432–3439. (10)

Fritsch, G., & Hitzig, E. (1870). Über die elektrische Erregbarkeit des Grosshirns [Concerning the electrical stimulabil- ity of the cerebrum]. Archiv für Anatomie Physiologie und Wissenschaftliche Medicin, 300–332. (7)

Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P.,  .  .  .  O’Donovan, M. C. (2014). De novo mutations in schizophrenia implicate syn- aptic networks. Nature, 506, 179–184. (14)

Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal,

08202_ref_ptg01.indd 521 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

522 REFERENCES

T. M.,  .  .  . Sklar, P. (2016). Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nature Neuroscience, 19, 1442–1453. (14)

Frost, S., Kanagasingam, Y., Sohrabi, H., Bourgeat, P., Villemagne, V., Rowe, C. C., . . . Martins, R. N. (2013). Pupil response biomarkers for early detection and moni- toring of Alzheimer’s disease. Current Alzheimer Research, 10, 931–939. (12)

Fu, L.-Y., Acuna-Goycolea, C., & van den Pol, A. N. (2004). Neuropeptide Y inhibits hypocre- tin/orexin neurons by multiple presynaptic and postsynaptic mechanisms: Tonic depres- sion of the hypothalamic arousal system. Journal of Neuroscience, 24, 8741–8751. (9)

Fu, Q. A., Heath, A. C., Bucholz, K. K., Nelson, E., Goldberg, J., Lyons, M. J., . . . Eisen, S. A. (2002). Shared genetic risk of major depres- sion, alcohol dependence, and marijuana dependence. Archives of General Psychiatry, 59, 1125–1132. (14)

Fu, W., Sugai, T., Yoshimura, H., & Onoda, N. (2004). Convergence of olfactory and gustatory connections onto the endopiri- form nucleus in the rat. Neuroscience, 126, 1033–1041. (6)

Fuchs, T., Haney, A., Jechura, T. J., Moore, F. R., & Bingman, V. P. (2006). Daytime naps in night-migrating birds: Behavioural adaptation to seasonal sleep deprivation in the Swainson’s thrush, Catharus ustulatus. Animal Behaviour, 72, 951–958. (8)

Fuller, R. K., & Roth, H. P. (1979). Disulfiram for the treatment of alcoholism: An evaluation in 128 men. Annals of Internal Medicine, 90, 901–904. (14)

Funato, H., Miyoshi, C., Fujiyama, T., Kanda, T., Sato, M., Wang, Z.,  .  .  .  Yanagisawa, M. (2016). Forward-genetics analysis of sleep in randomly mutagenized mice. Nature, 539, 378–383. (8)

Furuya, S., & Hanakawa, T. (2016). The curse of motor expertise: Use-dependent focal dystonia as a manifestation of mal- adaptive changes in body representation. Neuroscience Research, 104, 112–119. (4)

Fuster, J. M. (1989). The prefrontal cortex (2nd ed.). New York: Raven Press. (3)

Gabrieli, J. D. E., Corkin, S., Mickel, S. F., & Growdon, J. H. (1993). Intact acquisi- tion of mirror-tracing skill in Alzheimer’s disease and in global amnesia. Behavioral Neuroscience, 107, 899–910. (12)

Gade, A., Kristoffersen, M., & Kessing, L. V. (2015). Neuroticism in remitted major depression: Elevated with early onset but not late onset of depression. Psychopathology, 48, 400–407. (14)

Gage, F. H. (2000). Mammalian neural stem cells. Science, 287, 1433–1438. (4)

Gais, S., Plihal, W., Wagner, U., & Born, J. (2000). Early sleep triggers memory for early visual discrimination skills. Nature Neuroscience, 3, 1335–1339. (8)

Galin, D., Johnstone, J., Nakell, L., & Herron, J. (1979). Development of the capacity for

tactile information transfer between hemi- spheres in normal children. Science, 204, 1330–1332. (13)

Gallardo-Pujol, D., Andrés-Pueyo, A., Maydeu- Olivares, A. (2013). MAOA genotype, social exclusion and aggression: An experimental test of a gene-enviornmental interaction. Genes, Brain and Behavior, 12, 140–145. (11)

Gallese, V., Fadiga, L., Fogassi, L., & Rizzolatti, G. (1996). Action recognition in the premo- tor cortex. Brain, 119, 593–609. (7)

Gamaldo, A. A., An, Y., Allaire, J. C., Kitner- Triolo, M. H., & Zonderman, A. B. (2012). Variability in performance: Identifying early signs of future cognitive impairment. Neuropsychology, 26, 534–540. (12)

Gamer, M., & Büchel, C. (2009). Amygdala activation predicts gaze toward fearful eyes. Journal of Neuroscience, 29, 9123–9126. (11)

Gandhi, T. K., Ganesh, S., & Sinha, P. (2014). Improvement in spatial imagery following sight onset late in childhood. Psychological Science, 25, 693–701. (5)

Gangestad, S. W., & Simpson, J. A. (2000). The evolution of human mating: Trade-offs and strategic pluralism. Behavioral and Brain Sciences, 23, 573–644. (10)

Ganguly, K., Kiss, L., & Poo, M. (2000). Enhancement of presynaptic neuronal excit- ability by correlated presynaptic and post- synaptic spiking. Nature Neuroscience, 3, 1018–1026. (12)

Ganis, G., Keenan, J. P., Kosslyn, S. M., & Pascual-Leone, A. (2000). Transcranial mag- netic stimulation of primary motor cortex affects mental rotation. Cerebral Cortex, 10, 175–180. (3)

Ganna, A., Genovese, G., Howrigan, D. P., Byrnes, A., Kurki, M. I., Zekavat, S. M., . . . Neale, B. M. (2016). Ultra-rare disruptive and damaging mutations influence educational attainment in the general population. Nature Neuroscience, 19, 1563–1565. (12)

Gao, J.-H., Parsons, L. M., Bower, J. M., Xiong, J., Li, J., & Fox, P. T. (1996). Cerebellum implicated in sensory acquisition and dis- crimination rather than motor control. Science, 272, 545–547. (7)

Garcia-Falgueras, A., & Swaab, D. F. (2008). A sex difference in the hypothalamic uncinate nucleus: Relationship to gender identity. Brain, 131, 3132–3146. (10)

Gardner, B. T., & Gardner, R. A. (1975). Evidence for sentence constituents in the early utterances of child and chimpan- zee. Journal of Experimental Psychology: General, 104, 244–267. (13)

Gardner, H., & Zurif, E. B. (1975). Bee but not be: Oral reading of single words in aphasia and alexia. Neuropsychologia, 13, 181–190. (13)

Gaser, C., & Schlaug, G. (2003). Brain struc- tures differ between musicians and non- musicians. Journal of Neuroscience, 23, 9240–9245. (4)

Gates, G. J. (2011). How many people are les- bian, gay, bisexual, and transgender? Los Angeles: The Williams Institute. (10)

Gayet, S., Paffen, C. L. E., Belopolsky, A. V., Theeuwes, J., & Van der Stigchel, S., (2016). Visual input signaling threat gains preferential access to awareness in a break- ing continuous flash suppression paradigm. Cognition, 149, 77–83. (13)

Gazzaniga, M. S. (2000). Cerebral specializa- tion and interhemispheric communication: Does the corpus callosum enable the human condition? Brain, 123, 1293–1326. (13)

Ge, S., Yang, C.-H., Hsu, K.-S., Ming, G.-L., & Song, H. (2007). A critical period for enhanced synaptic plasticity in newly gener- ated neurons of the adult brain. Neuron, 54, 559–566. (4)

Geerling, J. C., & Loewy, A. D. (2008). Central regulation of sodium appetite. Experimental Physiology, 93, 177–209. (9)

Geier, C. F., Terwilliger, R., Teslovich, T., Velanova, K., & Luna, B. (2010). Immaturities in reward processing and its influence on inhibitory control in adolescence. Cerebral Cortex, 20, 1613–1629. (4)

Geiger, B. M., Haburcak, M., Avena, N. M., Moyer, M. C., Hoebel, B. G., & Pothos, E. N. (2009). Deficits of mesolimbic dopamine neurotransmission in rat dietary obesity. Neuroscience, 159, 1193–1199. (9)

Geiger, G., Lettvin, J. Y., & Zegarra-Moran, O. (1992). Task-determined strategies of visual process. Cognitive Brain Research, 1, 39–52. (13)

Gendron, M., Roberson, D., van der Vyver, J. M., & Barrett, L. F. (2014). Perceptions of emotion from facial expressions are not culturally universal: Evidence from a remote culture. Emotion, 14, 251–262. (11)

Genovese, G., Fromer, M., Stahl, E. A., Ruderfer, D. M., Chambert, K., Landén, M.,  .  .  .  McCarroll, S. A. (2016). Increased burden of ultra-rare protein-altering variants among 7,877 individuals with schizophrenia. Nature Neuroscience, 19, 1433–1441. (14)

Gerber, P., Schlaffke, L., Heba, S., Greenlee, M. W., Schultz, T., & Schmidt-Wilcke, T. (2014). Juggling revisited—A voxel-based morphometry study with expert jugglers. NeuroImage, 95, 320–325. (4)

Gerwig, M., Hajjar, K., Dimitrova, A., Maschke, M., Kolb, F. P., Frings, M.,  .  .  .  Timmann, D. (2005). Timing of conditioned eyeblink responses is impaired in cerebellar patients. Journal of Neuroscience, 25, 3919–3931. (12)

Geschwind, D. H., & Flint, J. (2015). Genetics and genomics of psychiatric disease. Science, 349, 1489–1494. (14)

Geschwind, N., & Levitsky, W. (1968). Human brain: Left–right asymmetries in temporal speech region. Science, 161, 186–187. (13)

Geuter, S., & Büchel, C. (2013). Facilitation of pain in the human spinal cord by noce- bo treatment. Journal of Neuroscience, 33, 13784–13790. (6)

Ghazanfar, A. A. (2013). Multisensory vocal communication in primates and the evolu- tion of rhythmic speech. Behavioral Ecology and Sociobiology, 67, 1441–1448. (13)

08202_ref_ptg01.indd 522 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 523

Ghosh, S., & Chattarji, S. (2015). Neuronal encoding of the switch from specific to generalized fear. Nature Neuroscience, 18, 112–120. (11)

Gibbs, F. P. (1983). Temperature dependence of the hamster circadian pacemaker. American Journal of Physiology, 244, R607–R610. (8)

Gibbs, J., Young, R. C., & Smith, G. P. (1973). Cholecystokinin decreases food intake in rats. Journal of Comparative and Physiological Psychology, 84, 488–495. (9)

Giber, K., Diana, M. A., Plattner, V. M., Dugué, G. P., Bokor, H., Rousseau, C. V., . . . Acsády, L. (2015). A subcortical inhibitory signal for behavioral arrest in the thalamus. Nature Neuroscience, 18, 562–568. (8)

Gilaie-Dotan, S., Tymula, A., Cooper, N., Kable, J. W., Gllimcher, P. W., & Levy, I. (2014). Neuroanatomy predicts individual risk attitudes. Journal of Neuroscience, 34, 12394–12401. (4)

Gilbertson, M. W., Shenton, M. E., Ciszewski, A., Kasai, K., Lasko, N. B., Orr, S. P., & Pitman, R. K. (2002). Smaller hippocam- pal volume predicts pathological vulner- ability to psychological trauma. Nature Neuroscience, 5, 1242–1247. (11)

Gilissen, C., Hehir-Kwa, J. Y., Thung, D. T., van de Vorst, M., van Bon, B. W. M., Willemsen, M. H., . . . Veltman, J. A. (2014). Genome sequenc- ing identifies major causes of severe intellec- tual disability. Nature, 511, 344–347. (12)

Gilmore, J. H., Lin, W., Prastawa, M. W., Looney, C. B., Vetsa, Y. S. K., Knickmeyer, R. C., . . . Gerig, G. (2007). Regional gray mat- ter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain. Journal of Neuroscience, 27, 1255–1260. (12)

Giuliani, D., & Ferrari, F. (1996). Differential behavioral response to dopamine D2 ago- nists by sexually naive, sexually active, and sexually inactive male rats. Behavioral Neuroscience, 110, 802–808. (10)

Giummarra, M. J., Georgiou-Karistianis, N., Nicholls, M. E. R., Gibson, S. J., Chou, M., & Bradshaw, J. L. (2010). Corporeal awareness and proprioceptive sense of the phantom. British Journal of Psychology, 101, 791–808. (4)

Gizowki, C., Zaelzer, C., & Bourque, C. W. (2016). Clock-driven vasopressin neuro- transmission mediates anticipatory thirst prior to sleep. Nature, 536, 685–688. (9)

Glendenning, K. K., Baker, B. N., Hutson, K. A., & Masterton, R. B. (1992). Acoustic chiasm V: Inhibition and excitation in the ipsilateral and contralateral projections of LSO. Journal of Comparative Neurology, 319, 100–122. (6)

Glykys, J., Peng, Z., Chandra, D., Homanics, G. E., Houser, C. R., & Mody, I. (2007). A new naturally occurring GABAA receptor subunit partnership with high sensitivity to ethanol. Nature Neuroscience, 10, 40–48. (11)

Goate, A., Chartier-Harlin, M. C., Mullan, M., Brown, J., Crawford, F., Fidani, L., . . . Owen, M. (1991). Segregation of a missense muta- tion in the amyloid precursor protein gene

with familial Alzheimer’s disease. Nature, 349, 704–706. (12)

Godfrey, K. M., Lillycrop, K. A., Burdge, G. C., Gluckman, P. D., & Hanson, M. A. (2007). Epigenetic mechanisms and the mismatch concept of the developmental origins of health and disease. Pediatric Research, 61 (5), Part 2, 5R–10R. (4)

Gogos, J. A., Osborne, J., Nemes, A., Mendelsohn, M., & Axel, R. (2000). Genetic ablation and restoration of the olfactory topographic map. Cell, 103, 609–620. (4)

Gold, R. M. (1973). Hypothalamic obesity: The myth of the ventromedial hypothalamus. Science, 182, 488–490. (9)

Goldberg, T. E., Weinberger, D. R., Berman, K. F., Pliskin, N. H., & Podd, M. H. (1987). Further evidence for dementia of the pre- frontal type in schizophrenia? Archives of General Psychiatry, 44, 1008–1014. (14)

Goldin-Meadow, S., McNeill, D., & Singleton, J. (1996). Silence is liberating: Removing the handcuffs on grammatical expression in the manual modality. Psychological Review, 103, 34–55. (13)

Goldin-Meadow, S., & Mylander, C. (1998). Spontaneous sign systems created by deaf children in two cultures. Nature, 391, 279– 281. (13)

Goldman, L. S. (1999). Medical illness in patients with schizophrenia. Journal of Clinical Psychiatry, 60(Suppl 21), 10–15. (14)

Goldman, P. S. (1971). Functional develop- ment of the prefrontal cortex in early life and the problem of neuronal plasticity. Experimental Neurology, 32, 366–387. (14)

Goldman, P. S. (1976). The role of experi- ence in recovery of function following orbital prefrontal lesions in infant monkeys. Neuropsychologia, 14, 401–412. (14)

Goldstein, A. (1980). Thrills in response to music and other stimuli. Physiological Psychology, 8, 126–129. (6)

Golestani, N., Molko, N., Dehaene, S., LeBihan, D., & Pallier, C. (2007). Brain structure pre- dicts the learning of foreign speech sounds. Cerebral Cortex, 17, 575–582. (4)

Golestani, N., Price, C. J., & Scott, S. K. (2011). Born with an ear for dialects? Structural plasticity in the expert phone- tician brain. Journal of Neuroscience, 31, 4213–4220. (4)

Goller, A. I., Richards, K., Novak, S., & Ward, J. (2013). Mirror-touch synaesthesia in the phantom limbs of amputees. Cortex, 49, 243–251. (4)

Golombok, S., Rust, J., Zervoulis, K., Golding, J., & Hines, M. (2012). Continuity in sex- typed behavior from preschool to adoles- cence: A longitudinal population study of boys and girls aged 3–13 year. Archives of Sexual Behavior, 41, 591–597. (10)

Golumbic, E. Z., Cogan, G. B., Schroeder, C. E., & Poeppel, D. (2013). Visual input enhances selective speech envelope tracking in audi- tory cortex at a “cocktail party.” Journal of Neuroscience, 33, 1417–1426. (6)

Gomez, A., Rodriguez-Exposito, B., Duran, E., Martín-Monzón, I., Broglio, C., Salas, C., & Rodríguez, F. (2016). Relational and proce- dural memory systems in the goldfish brain revealed by trace and delay eyeblink-like conditioning. Physiology & Behavior, 167, 332–340. (12)

Gonda, X., Pompili, M., Serafini, G., Carvalho, A. F., Rihmer, R., & Dome, P. (2015). The role of cognitive dysfunction in the symptoms and remission from depression. Annals of General Psychiatry, 14, article 27. (14)

Gong, G., He, Y., & Evans, A. C. (2011). Brain connectivity: Gender makes a difference. Neuroscientist, 17, 575–591. (3)

Gonzalez Andino, S. L., de Peralta Menendez, R. G., Khateb, A., Landis, T., & Pegna, A. J. (2009). Electrophysiological correlates of affective blindsight. NeuroImage, 44, 581– 589. (5)

Goodale, M. A. (1996). Visuomotor modules in the vertebrate brain. Canadian Journal of Physiology and Pharmacology, 74, 390– 400. (7)

Goodale, M. A., Milner, A. D., Jakobson, L. S., & Carey, D. P. (1991). A neurological dissocia- tion between perceiving objects and grasp- ing them. Nature, 349, 154–156. (7)

Gooley, J. J., Rajaratnam, S. M. W., Brainard, G. C., Kronauer, R. E., Czeisler, C. A., & Lockley, S. W. (2010). Spectral responses of the human circadian system depend on the irradiance and duration of exposure to light. Science Translational Medicine, 2, 31ra33. (8)

Gopnik, M., & Crago, M. B. (1991). Familial aggregation of a developmental language disorder. Cognition, 39, 1–50. (13)

Gordon, I., Zagoory-Sharon, O., Leckman, J. F., & Feldman, R. (2010). Prolactin, oxytocin, and the development of paternal behavior across the first six months of fatherhood. Hormones and Behavior, 58, 513–518. (10)

Gori, S., & Facoetti, A. (2015). How the visual aspects can be crucial in reading acquisi- tion: The intriguing case of crowding and developmental dyslexia. Journal of Vision, 15, article 8. (13)

Gorski, R. A. (1980). Sexual differentiation of the brain. In D. T. Krieger & J. C. Hughes (Eds.), Neuroendocrinology (pp. 215–222). Sunderland, MA: Sinauer. (10)

Gorski, R. A. (1985). The 13th J. A. F. Stevenson memorial lecture. Sexual differentiation of the brain: Possible mechanisms and implica- tions. Canadian Journal of Physiology and Pharmacology, 63, 577–594. (10)

Gorski, R. A., & Allen, L. S. (1992). Sexual orientation and the size of the anterior com- missure in the human brain. Proceedings of the National Academy of Sciences, USA, 89, 7199–7202. (10)

Gottesman, I. I. (1991). Schizophrenia genesis. New York: Freeman. (14)

Gougoux, F., Belin, P., Voss, P., Lepore, F., Lassonde, M., & Zatorre, R. J. (2009). Voice perception in blind persons: A functional

08202_ref_ptg01.indd 523 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

524 REFERENCES

magnetic resonance imaging study. Neuropsychologia, 47, 2967–2974. (4)

Grabowska, A. (2017). Sex on the brain: Are gender-dependent structural and func- tional differences associated with behav- ior? Journal of Neuroscience Research, 95, 200–212. (12)

Grace, P. M., Strand, K. A., Galer, E. L., Urban, D. J., Wang, X., Baratta, M. V., . . . Watkins, L. R. (2016). Morphine paradoxically pro- longs neuropathic pain in rats by amplify- ing spinal NLRP3 inflammasome activation. Proceedings of the National Academy of Sciences, 113, 113, E3441–E3450. (6)

Gradisar, M., Gardner, G., & Dohnt, H. (2011). Recent worldwide sleep patterns and prob- lems during adolescence: A review and meta-analysis of age, region, and sleep. Sleep Medicine, 12, 110–118. (8)

Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989). Oscillatory responses in cat visual cortex exhibit inter-columnar syn- chronization which reflects global stimulus properties. Nature, 338, 334–337. (13)

Gray, J. A. (1970). The psychophysi- ological basis of introversion–extraver- sion. Behavioural Research Therapy, 8, 249–266. (11)

Gray, S. M., Meijer, R. I., & Barrett, E. J. (2014). Insulin regulates brain function, but how does it get there? Diabetes, 63, 3992–3997. (1)

Graziadei, P. P. C., & deHan, R. S. (1973). Neuronal regeneration in frog olfactory sys- tem. Journal of Cell Biology, 59, 525–530. (4)

Graziano, M. S. A., Taylor, C. S. R., & Moore, T. (2002). Complex movements evoked by microstimulation of precentral cortex. Neuron, 34, 841–851. (3, 7)

Grazioplene, R. G., Ryman, S., Gray, J. R., Rustichini, A., Jung, R. E., & De Young, C. G. (2015). Subcortical intelligence: Caudate volume predicts IQ in healthy twins. Human Brain Mapping, 36, 1407–1416. (12)

Graziottin, A., Koochaki, P. E., Rodenberg, C. A., & Dennerstein, L. (2009). The preva- lence of hypoactive sexual desire disorder in surgically menopausal women: An epide- miological study of women in four European countries. Journal of Sexual Medicine, 6, 2143–2153. (10)

Greene, J. D., Sommerville, R. B., Nystrom, L. E., Darley, J. M., & Cohen, J. D. (2001). An fMRI investigation of emotional engage- ment in moral judgment. Science, 293, 2105–2108. (11)

Greenhill, S. D., Juczewski, K., de Haan, A. M., Seaton, G., Fox, K., & Hardingham, N. R. (2015). Adult cortical plasticity depends on an early postnatal critical period. Science, 349, 424–427. (14)

Greenough, W. T. (1975). Experiential modi- fication of the developing brain. American Scientist, 63, 37–46. (4)

Greer, J., Riby, D. M., Hamiliton, C., & Riby, L. M. (2013). Attentional lapse and inhibition control in adults with Williams syndrome.

Research in Developmental Disabilities, 34, 4170–4177. (13)

Gregerson, P. K., Kowalsky, E., Lee, A., Baron- Cohen, S., Fisher, S. E., Asher, J. E.,  .  .  .  Li, W. T. (2013). Absolute pitch exhibits phe- notypic and genetic overlap with synes- thesia. Human Molecular Genetics, 22, 2097–2104. (6)

Gregory, M. D., Kippenhan, J. S., Dickinson, D., Carrasco, J., Mattay, V. S., Weinberger, D. R., & Berman, K. F. (2016). Regional variations in brain gyrification are associated with general cognitive ability in humans. Current Biology, 26, 1301–1305. (12)

Griffin, D. R., Webster, F. A., & Michael, C. R. (1960). The echolocation of flying insects by bats. Animal Behaviour, 8, 141–154. (6)

Griffiths, T. D., Uppenkamp, S., Johnsrude, I., Josephs, O., & Patterson, R. D. (2001). Encoding of the temporal regularity of sound in the human brainstem. Nature Neuroscience, 4, 633–637. (6)

Grillon, C., Morgan, C. A., III, Davis, M., & Southwick, S. M. (1998). Effect of darkness on acoustic startle in Vietnam veterans with PTSD. American Journal of Psychiatry, 155, 812–817. (11)

Gritton, H. J., Sutton, B. C., Martinez, V., Sarter, M., & Lee, T. M. (2009). Interactions between cognition and circadian rhythms: Attentional demands modify circadian entrainment. Behavioral Neuroscience, 123, 937–948. (8)

Groeger, J. A., Lo, J. C. Y., Burns, C. G., & Dijk, D.-J. (2011). Effects of sleep inertia after daytime naps vary with executive load and time of day. Behavioral Neuroscience, 125, 252–260. (8)

Gross, C. G. (1999). The fire that comes from the eye. The Neuroscientist, 5, 58–64. (5)

Gross, C. T., & Canteras, N. S. (2012). The many paths to fear. Nature Reviews Neuroscience, 13, 651–658. (11)

Grossman, S. P., Dacey, D., Halaris, A. E., Collier, T., & Routtenberg, A. (1978). Aphagia and adipsia after preferential destruction of nerve cell bodies in hypo- thalamus. Science, 202, 537–539. (9)

Grueter, M., Grueter, T., Bell, V., Horst, J., Laskowki, W., Sperling, K., & Kennerknecht, I. (2007). Hereditary prosopagnosia: The first case series. Cortex, 43, 734–749. (5)

Grunder, G., Heinze, M., Cordes, J., Muhlbauer, B., Juckel, G., Schulz, C., . . . Timm, J. (2016). Effects of first-generation antipsychotics versus second-generation antipsychotics on quality of life in schizophrenia: A double- blind, randomized study. Lancet Psychiatry, 3, 717–729. (14)

Guastella, A. J., Einfeld, S. L., Gray, K. M., Rinehart, N. J., Tonge, B. J., Lambert, T. J., & Hickie, I. B. (2010). Intranasal oxytocin improves emotion recognition for youth with autism spectrum disorders. Biological Psychology, 67, 692–694. (13)

Gubernick, D. J., & Alberts, J. R. (1983). Maternal licking of young: Resource exchange

and proximate controls. Physiology & Behavior, 31, 593–601. (10)

Guéguen, N. (2012). Gait and menstrual cycle: Ovulating women use sexier gaits and walk slowly ahead of men. Gait & Posture, 35, 621–624. (10)

Guggisberg, A. G., & Mottaz, A. (2013). Timing and awareness of movement decisions: Does consciousness really come too late? Frontiers in Human Neuroscience, 7, article 385. (7)

Guidotti, A., Ferrero, P., Fujimoto, M., Santi, R. M., & Costa, E. (1986). Studies on endogenous ligands (endocoids) for the benzodiazepine/ beta carboline binding sites. Advances in Biochemical Pharmacology, 41, 137–148. (11)

Guillot, C. R., Fanning, J. R., Liang, T., & Berman, M. E. (2015). COMT associations with disordered gambling and drinking measures. Journal of Gambling Studies, 31, 513–524. (14)

Güler, A. D., Ecker, J. L., Lall, G. S., Haq, S., Altimus, C. M., Liao, H.-W.,  .  .  .  Hattar, S. (2008). Melanopsin cells are the principal conduits for rod-cone input to non-image- forming vision. Nature, 453, 102–105. (8)

Gunia, B. C., Barnes, C. M., & Sah, S. (2014). The morality of larks and owls: Unethical behavior depends on chronotype as well as time of day. Psychological Science, 25, 2272–2274. (8)

Gunn, S. R., & Gunn, W. S. (2007). Are we in the dark about sleepwalking’s dangers? In C. A. Read (Ed.), Cerebrum 2007: Emerging ideas in brain science (pp. 71–84). New York: Dana Press. (8)

Guo, J., Xue, L.-J., Huang, Z.-Y., Wang, Y.-S., Zhang, L., Zhou, G.-H., & Yuan, L.-X. (2016). Effect of CPAP therapy on cardio- vascular events and mortality in patients with obstructive sleep apnea: A meta-anal- ysis. Sleep and Breathing, 20, 965–974. (8)

Guo, S.-W., & Reed, D. R. (2001). The genetics of phenylthiocarbamide perception. Annals of Human Biology, 28, 111–142. (6)

Gur, R. E., Cowell, P. E., Latshaw, A., Turetsky, B. I., Grossman, R. I., Arnold, S. E., . . . Gur, R. C. (2000). Reduced dorsal and orbital prefrontal gray matter volumes in schizo- phrenia. Archives of General Psychiatry, 57, 761–768. (14)

Gusella, J. F., & MacDonald, M. E. (2000). Molecular genetics: Unmasking polygluta- mine triggers in neurodegenerative disease. Nature Reviews Neuroscience, 1, 109–115. (7)

Gustafsson, B., & Wigström, H. (1990). Basic features of long-term potentiation in the hip- pocampus. Seminars in the Neurosciences, 2, 321–333. (12)

Guterstam, A., Petkova, V. I., & Ehrsson, H. H. (2011). The illusion of owning a third arm. PLoS One, 6, e17208. (3)

Gvilia, I., Turner, A., McGinty, D., & Szymusiak, R. (2006). Preoptic area neurons and the homeostatic regulation of rapid eye move- ment sleep. Journal of Neuroscience, 26, 3037–3044. (8)

08202_ref_ptg01.indd 524 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 525

Gwinner, E. (1986). Circannual rhythms in the control of avian rhythms. Advances in the Study of Behavior, 16, 191–228. (8)

Gyurak, A., Haase, C. M., Sze, J., Goodkind, M. S., Coppola, G., Lane, J., Miller, B. L., & Levenson, R. W. (2013). The effect of the serotonin transporter polymorphism (5-HTTLPR) on empathic and self-con- scious emotional reactivity. Emotion, 13, 25–35. (14)

Haase, C. M., Beermann, U., Saslow, L. R., Shiota, M. N., Saturn, S. R., Lwi, S. J., . . . Levenson, R. W. (2015). Short alleles, bigger smiles: The effect of 5-HTTLPR on positive emotional expressions. Emotion, 15, 438–448. (14)

Hagenauer, M. H., & Lee, T. M. (2012). The neuroendocrine control of the circadian system: Adolescent chronotype. Frontiers in Neuroendocrinology, 33, 211–229. (8)

Hagenbuch, B., Gao, B., & Meier, P. J. (2002). Transport of xenobiotics across the blood– brain barrier. News in Physiological Sciences, 17, 231–234. (1)

Haggarty, J. M., Cernovsky, Z., Husni, M., Minor, K., Kermean, P., & Merskey, H. (2002). Seasonal affective disorder in an Arctic community. Acta Psychiatrica Scandinavica, 105, 378–384. (14)

Hägglund, M., Dougherty, K. J., Borgius, L., Itohara, S., Iwasato, T., & Kiehn, O. (2013). Optogenetic dissection reveals multiple rhythmogenic modules underlying locomo- tion. Proceedings of the National Academy of Sciences, 110, 11589–11594. (7)

Hahamy, A., Behrmann, M., & Malach, R. (2015). The idiosyncratic brain: Distortion of spontaneous connectivity patterns in autism spectrum disorder. Nature Neuroscience, 18, 302–309. (14)

Haimov, I., & Arendt, J. (1999). The preven- tion and treatment of jet lag. Sleep Medicine Reviews, 3, 229–240. (8)

Haimov, I., & Lavie, P. (1996). Melatonin—A soporific hormone. Current Directions in Psychological Science, 5, 106–111. (8)

Haist, F., Adamo, M., Wazny, J. H., Lee, K., & Stiles, J. (2013). The functional architec- ture for face-processing expertise: fMRI evidence of the developmental trajectory of the core and the extended face systems. Neuropsychologia, 51, 2893–2908. (5)

Hakuta, K., Bialystok, E., & Wiley, E. (2003). Critical evidence: A test of the critical-period hypothesis for second-language acquisition. Psychological Science, 14, 31–38. (13)

Halaas, J. L, Gajiwala, K. S., Maffei, M., Cohen, S. L., Chait, B. T., Rabinowitz, D.,  .  .  .  Friedman, J. M. (1995). Weight- reducing effects of the plasma protein encoded by the obese gene. Science, 269, 543–546. (9)

Halaschek-Wiener, J., Amirabbasi-Beik, M., Monfared, N., Pieczyk, M., Sailer, C., Kollar, A., . . . Brooks-Wilson, A. R. (2009). Genetic variation in healthy oldest-old. PLoS ONE, 4, e6641. (4)

Halder, R., Hennion, M., Vidal, R. O., Shomroni, O., Rahman, R.-U., Rajput, A.,  .  .  .  Bonn, S. (2016). DNA methylation changes in plasticity genes accompany the forma- tion and maintenance of memory. Nature Neuroscience, 19, 102–110. (12)

Haley, J. (1959). An interactional descrip- tion of schizophrenia. Psychiatry, 22, 321–332. (14)

Hallmayer, J., Faraco, J., Lin, L., Hesselson, S., Winkelmann, J., Kawashima, M., . . . Mignot, E. (2009). Narcolepsy is strongly associated with the T-cell receptor alpha locus. Nature Genetics, 41, 708–711. (8)

Halpern, S. D., Andrews, T. J., & Purves, D. (1999). Interindividual variation in human visual performance. Journal of Cognitive Neuroscience, 11, 521–534. (5)

Hamann, K., Warneken, F., Greenberg, J. R., & Tomasello, M. (2011). Collaboration encourages equal sharing in children but not in chimpanzees. Nature, 476, 328–331. (4)

Hamann, S. B., & Squire, L. R. (1995). On the acquisition of new declarative knowledge in amnesia. Behavioral Neuroscience, 109, 1027–1044. (12)

Hamer, D. H., Hu, S., Magnuson, V. L., Hu, N., & Pattatucci, A. M. L. (1993). A linkage between DNA markers on the X chromo- some and male sexual orientation. Science, 261, 321–327. (10)

Hamilton, W. D. (1964). The genetical evolu- tion of social behavior (I and II). Journal of Theoretical Biology, 7, 1–16, 17–52. (4)

Hampson, E., & Rovet, J. F. (2015). Spatial function in adolescents and young adults with congenital adrenal hyperplasia: Clinical phenotype and implications for the andro- gen hypothesis. Psychoneuroendocrinology, 54, 60–70. (10)

Han, J.-H., Kushner, S. A., Yiu, A. P., Cole, C. J., Matynia, A., Brown, R. A., . . . Josselyn, S. A. (2007). Neuronal competition and selection during memory formation. Science, 316, 457–460. (12)

Han, S., Tai, C., Westenbroek, R. E., Yu, F. H., Cheah, C. S., Potter, G. B.,  .  .  .  Catterall, W. A. (2012). Autistic-like behaviour in Scn1a+/- mice and rescue by enhanced GABA-mediated neurotransmission. Nature, 489, 385–390. (14)

Hanada, R., Leibbrandt, A., Hanada, T., Kitaoka, S., Furuyashiki, T., Fujihara, H., . . . Penninger, J. M. (2009). Central con- trol of fever and female body temperature by RANKL/RANK. Nature, 462, 505–509. (9)

Hanaway, J., Woolsey, T. A., Gado, M. H., & Roberts, M. P., Jr. (1998). The brain atlas. Bethesda, MD: Fitzgerald Science Press. (11)

Hanchate, N. K., Kondoh, K., Lu, Z., Kuang, D., Ye, X., Qiu, X.,  .  .  .  Buck, L. B. (2015). Single-cell transcriptomics reveals receptor transformations during olfactory neurogen- esis. Science, 350, 1251–1255. (6)

Hanks, T. D., Kopec, C. D., Brunton, B. W., Duan, C. A., Erlich, J. C., & Brody, C. D. (2015). Distinct relationships of parietal and

prefrontal cortices to evidence accumula- tion. Nature, 520, 220–223. (13)

Hannibal, J., Hindersson, P., Knudsen, S. M., Georg, B., & Fahrenkrug, J. (2001). The photopigment melanopsin is exclusively present in pituitary adenylate cyclase-acti- vating polypeptide-containing retinal gan- glion cells of the retinohypothalamic tract. Journal of Neuroscience, 21, RC191: 1–7. (8)

Hannon, E., Spiers, H., Viana, J., Pidsley, R., Burrage, J., Murphy, T. M., . . . Mill, J. (2016). Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci. Nature Neuroscience, 19, 48–54. (4)

Haqq, C. M., & Donahoe, P. K. (1998). Regulation of sexual dimorphism in mam- mals. Physiological Reviews, 78, 1–33. (10)

Hara, J., Beuckmann, C. T., Nambu, T., Willie, J. T., Chemelli, R. M., Sinton, C. M.,  .  .  . Sakurai, T. (2001). Genetic ablation of orexin neurons in mice results in narco- lepsy, hypophagia, and obesity. Neuron, 30, 345–354. (8)

Hardingham, G. E., & Do, K. Q. (2016). Linking early-life NMDAR hypofunction and oxidative stress in schizophrenia pathogenesis. Nature Reviews Neuroscience, 17, 126–134. (14)

Hargreaves, R. (2007). New migraine and pain research. Headache, 47 (Suppl. 1), S26–S43. (3)

Hari, R. (1994). Human cortical functions revealed by magnetoencephalography. Progress in Brain Research, 100, 163–168. (3)

Harley, B., & Wang, W. (1997). The critical period hypothesis: Where are we now? In A. M. B. deGroot & J. F. Knoll (Eds.), Tutorials in bilingualism (pp. 19–51). Mahwah, NJ: Erlbaum. (13)

Harmon-Jones, E., & Gable, P. A. (2009). Neural activity underlying the effect of approach-motivated positive affect on nar- rowed attention. Psychological Science, 20, 406-409. (9)

Harmon-Jones, E., & Peterson, C. K. (2009). Supine body position reduces neural response to anger evocation. Psychological Science, 20, 1209–1210. (11)

Harris, C. R. (1999, July/August). The mys- tery of ticklish laughter. American Scientist, 87(4), 344–351. (6)

Harris, K. D., & Shepherd, G. M. G. (2015). The neocortical circuit: Themes and variations. Nature Neuroscience, 18, 170–181. (3, 12)

Harris, J. C. (2016). The origin and natural his- tory of autism spectrum disorders. Nature Neuroscience, 11, 1390–1391. (14)

Harris, K. M., & Stevens, J. K. (1989). Dendritic spines of CA1 pyramidal cells in the rat hip- pocampus: Serial electron microscopy with reference to their biophysical characteristics. Journal of Neuroscience, 9, 2982–2997. (1)

Harrison, G. H. (2008, January). How chick- adees weather winter. National Wildlife, 46(1), 14–15. (9)

Harrison, Y. (2013). Individual response to the end of Daylight Saving Time is largely depen- dent on habitual sleep duration. Biological Rhythm Research, 44, 391–401. (8)

08202_ref_ptg01.indd 525 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

526 REFERENCES

Hart, B. L. (Ed.). (1976). Experimental psycho- biology. San Francisco: Freeman. (9)

Hartline, H. K. (1949). Inhibition of activity of visual receptors by illuminating nearby retinal areas in the limulus eye. Federation Proceedings, 8, 69. (5)

Harvey, A. G., & Bryant, R. A. (2002). Acute stress disorder: A synthesis and critique. Psychological Bulletin, 128, 886–902. (11)

Harvey, A. G., Talbot, L. S., & Gershon, A. (2009). Sleep disturbance in bipolar disor- der across the lifespan. Clinical Psychology: Science & Practice, 16, 256–277. (14)

Harvie, D. S., Broecker, M., Smith, R. T., Meuldeers, A., Madden, V. J., & Moseley, G. L. (2015). Bogus visual feedback alters onset of movement-evoked pain in people with neck pain. Psychological Science, 26, 385–392. (6)

Hasler, B. P., & Clark, D. B. (2013). Circadian misalignment, reward-related brain func- tion, and adolescent alcohol involvement. Alcoholism: Clinical and Experimental Research, 37, 558–565. (8)

Hassabis, D., Kumaran, D., Vann, S. D., & Maguire, E. A. (2007). Patients with hippo- campal amnesia cannot imagine new experi- ences. Proceedings of the National Academy of Sciences, USA, 104, 1726–1731. (12)

Hassan, B., & Rahman, Q. (2007). Selective sex- ual orientation-related differences in object location memory. Behavioral Neuroscience, 121, 625–633. (10)

Hassett, J. M., Siebert, E. R., & Wallen, K. (2008). Sex differences in rhesus monkey toy preferences parallel those of children. Hormones and Behavior, 54, 359–364. (10)

Haueisen, J., & Knösche, T. R. (2001). Involuntary motor activity in pianists evoked by music perception. Journal of Cognitive Neuroscience, 13, 786–792. (7)

Haut, K. M., van Erp, T. G. M., Knowlton, B., Bearden, C. E., Subotnik, K., Ventura, J.,  .  .  . Cannon, T. D. (2015). Contributions of feature binding during encoding and functional connectivity of the medial tem- poral lobe structures to episodic memory deficits across the prodromal and first- episode phases of schizophrenia. Clinical Psychological Science, 3, 159–174. (14)

Havlicek, J., & Roberts, S. C. (2009). MHC- correlated mate choice in humans: A review. Psychoneuroendocrinology, 34, 497–512. (6)

Haworth, C. M. A., Wright, M. J., Luciano, M., Martin, N. G., de Geus, E. J. C., van Beijsterveldt, C. E. M., . . . Plomin, R. (2010). The heritability of general cognitive abil- ity increases linearly from childhood to young adulthood. Molecular Psychiatry, 15, 1112–1120. (12)

Hayashi-Takagi, A., Takaki, M., Graziane, N., Seshadri, S., Murdoch, H., Dunlop, A. J.,  .  .  .  Sawa, A. (2010). Disrupted-in- schizophrenia 1(DISC-1) regulates spines of the glutamate synapse via Rac1. Nature Neuroscience, 13, 327–332. (14)

Hayes, J. E., Bartoshuk, L. M., Kidd, J. R., & Duffy, V. B. (2008). Supertasting and

PROP bitterness depends on more than the TAS2R38 gene. Chemical Senses, 33, 255–265. (6)

Hayes, S. M., Hayes, J. P., Cadden, M., & Verfaellie, M. (2013). A review of cardio- respiratory fitness-related neuroplasti- city in the aging brain. Frontiers in Aging Neuroscience, 5, Article 31. (4)

He, S. M., Yang, A. K., Li, X. T., Du, Y. M., & Zhou, S. F. (2010). Effects of herbal prod- ucts on the metabolism and transport of anticancer agents. Expert Opinion on Drug Metabolism & Toxicity, 6, 1195–1213. (14)

Hebb, D. O. (1949). Organization of behavior. New York: Wiley. (12)

Heuer, E., & Bachevalier, J. (2011). Neonatal hippocampal lesions in rhesus macaques alter the monitoring, but not mainte- nance, of information in working memory. Behavioral Neuroscience, 125, 859–870. (12)

Heims, H. C., Critchley, H. D., Dolan, R., Mathias, C. J., & Cipolotti, L. (2004). Social and motivational functioning is not criti- cally dependent on feedback of autonomic responses: Neuropsychological evidence from patients with pure autonomic failure. Neuropsychologia, 42, 1979–1988. (11)

Held, R., Ostrovsky, Y., deGelder, B., Gandhi, T., Ganesh, S., Mathur, U., & Sinha, P. (2011). The newly sighted fail to match seen with felt. Nature Neuroscience, 14, 551–553. (5)

Helder, E. J., Mulder, E., & Gunnoe, M. L. (2016). A longitudinal investigation of chil- dren internationally adopted at school age. Child Neuropsychology, 22, 39–64. (4)

Heller, A. S., van Reekum, C. M., Schaefer, S. M., Lapate, R. C., Radler, B. T., Ryff, C. D., & Davidson, R. J. (2013). Sustained striatal activity predicts eudaimonic well-being and cortisol output. Psychological Science, 24, 2191–2200. (11)

Henderson, J. M., & Hollingworth, A. (2003). Global transsaccadic change blindness dur- ing scene perception. Psychological Science, 14, 493–497. (13)

Hendry, S. H. C., & Reid, R. C. (2000). The koniocellular pathway in primate vision. Annual Review of Neuroscience, 23, 127–153. (5)

Henley, C. L., Nunez, A. A., & Clemens, L. G. (2011). Hormones of choice: The neu- roendocrinology of partner preference in animals. Frontiers in Neuroendocrinology, 32, 146–154. (10)

Hennies, N., Ralph, M. A. L., Kempkes, M., Cousins, J. N., & Lewis, P. A. (2016). Sleep spindle density predicts the effect of prior knowledge on memory consolidation. Journal of Neuroscience, 36, 3799–3810. (8)

Hennig, R., & Lømo, T. (1985). Firing patterns of motor units in normal rats. Nature, 314, 164–166. (7)

Herculano-Houzel, S. (2011a). Brains matter, bodies maybe not: The case for examining neuron numbers irrespective of body size. Annals of the New York Academy of Sciences, 1225, 191–199. (12)

Herculano-Houzel, S. (2011b). Not all brains are made the same: New views on brain scaling in evolution. Brain, Behavior and Evolution, 78, 22–36. (3)

Herculano-Houzel, S. (2012). The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost. Proceedings of the National Academy of Sciences (U.S.A.), 109, 10661–10668. (12)

Herculano-Houzel, S., Catania, K., Manger, P. R., & Kaas, J. H. (2015). Mammalian brains are made of these: A data set of the numbers and densities of neuronal and non- neural cells in the brain of glires, primates, scandentia, eulipotyphians, afrotherians, and artiodactyls, and their relationship with body mass. Brain Behavior and Evolution, 86, 145–163. (1, 3)

Herdener, M., Esposito, F., di Salle, F., Boller, C., Hilti, C. C., Habermeyer, B., . . . Cattapan- Ludewig, K. (2010). Musical training induces functional plasticity in human hippocampus. Journal of Neuroscience, 30, 1377–1384. (4)

Heres, S., Davis, J., Maino, K., Jetzinger, E., Kissling, W., & Leucht, S. (2006). Why olanzapine beats risperidone, risperidone beats quetiapine, and quetiapine beats olan- zapine: an exploratory analysis of head-to- head comparison studies of second-gener- ation antipsychotics. American Journal of Psychiatry, 163, 185–194. (14)

Herman, A. M., Ortiz-Guzman, J., Kochukov, M., Herman, I., Quast, K. B., Patel, J. M., . . . Arenkiel, B. R. (2016). A choliner- gic basal forebrain feeding circuit modu- lates appetite suppression. Nature, 538, 253–256. (9)

Herrero, S. (1985). Bear attacks: Their causes and avoidance. Piscataway, NJ: Winchester. (6)

Herrup, K. (2015). The case for rejecting the amyloid cascade hypothesis. Nature Neuroscience, 18, 794–799. (12)

Herry, C., & Johansen, J. P. (2014). Encoding of fear learning and memory in distributed neuronal circuits. Nature Neuroscience, 17, 1644–1654. (11)

Hervé, P. Y., Zago, L., Petit, L., Mazoyer, B., & Tzourio-Mazoyer, N. (2013). Revisiting human hemispheric specialization with neuroimaging. Trends in Cognitive Sciences, 17, 69–80. (13)

Herz, R. S., McCall, C., & Cahill, L. (1999). Hemispheric lateralization in the processing of odor pleasantness versus odor names. Chemical Senses, 24, 691–695. (13)

Hess, B. J. M. (2001). Vestibular signals in self-orientation and eye movement control. News in Physiological Sciences, 16, 234– 238. (6)

Hesse, M. D., Thiel, C. M., Stephan, K. E., & Fink, G. R. (2006). The left parietal cortex and motor intention: An event-related func- tional magnetic resonance imaging study. Neuroscience, 140, 1209–1221. (7)

Hesselmann, G., Hebart, M., & Malach, R. (2011). Differential BOLD activity associated with subjective and objective reports during

08202_ref_ptg01.indd 526 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 527

“blindsight” in normal observers. Journal of Neuroscience, 31, 12936–12944. (5)

Heyes, C. (2010). Where do mirror neurons come from? Neuroscience and Biobehavioral Reviews, 34, 575–583. (7)

Hebscher, M., & Gilboa, A. (2016). A boost of confidence: The role of the ventrome- dial prefrontal cortex in memory, decision- making, and schemas. Neuropsychologia, 90, 46–58. (13)

Hieronymus, F., Nilsson, S., & Eriksson, E. (2016). A mega-analysis of fixed-dose trials reveals dose-dependency and a rapid onset of action for the antidepressant effect of three selective serotonin reuptake inhibitors. Translational Psychiatry, 6, article e834. (14)

Higgs, S., Williamson, A. C., Rotshtein, P., & Humphreys, G. W. (2008). Sensory-specific satiety is intake in amnesics who eat multiple meals. Psychological Science, 19, 623–628. (12)

Hillix, W. A., Rumbaugh, D. M., & Savage- Rumbaugh, E. S. (2012). The emergence of reason, intelligence, and language in humans and animals. In L. L’Abate (Ed.), Paradigms in theory construction (pp. 397–420). New York: Springer. (13)

Hines, M., Golombok, S., Rust, J., Johnston, K. J., Golding, J., & the Avon Longitudinal Study of Parents and Children Study Team. (2002). Testosterone during pregnancy and gender role behavior of preschool children: A longitudinal, population study. Child Development, 73, 1678–1687. (10)

Hines, M., Pasterski, V., Spencer, D., Neufeld, S., Patalay, P., Hindmarsh, P. C., . . . Acerini, C. L. (2016). Prenatal androgen exposure alters girls’ responses to information indicating gender-appropriate behaviour. Philosophical Transactions of the Royal Society B, 371, article 20150125. (10)

Hinkley, L. B. N., Marco, E. J., Brown, E. G., Bukshpun, P., Gold, J., Hill, S., . . . Nagarajan, S. S. (2016). The contribution of the corpus callosum to language lateralization. Journal of Neuroscience, 36, 4522–4533. (13)

Hippisley-Cox, J., Vinogradova, Y., Coupland, C., & Parker, C. (2007). Risk of malignancy in patients with schizophrenia or bipolar disorder. Archives of General Psychiatry, 64, 1368–1376. (14)

Hitchcock, J. M., & Davis, M. (1991). Efferent pathway of the amygdala involved in con- ditioned fear as measured with the fear- potentiated startle paradigm. Behavioral Neuroscience, 105, 826–842. (11)

Hiyama, T. Y., Watanabe, E., Okado, H., & Noda, M. (2004). The subfornical organ is the primary locus of sodium-level sensing by Nax sodium channels for the control of salt-intake behavior. Journal of Neuroscience, 24, 9276–9281. (9)

Hobson, J. A. (1989). Sleep. New York: Scientific American Library. (14)

Hobson, J. A. (2009). REM sleep and dream- ing: Towards a theory of protoconsciousness. Nature Reviews Neuroscience, 10, 803–813. (8)

Hobson, J. A., & McCarley, R. W. (1977). The brain as a dream state generator: An

activation-synthesis hypothesis of the dream process. American Journal of Psychiatry, 134, 1335–1348. (8)

Hobson, J. A., Pace-Schott, E. F., & Stickgold, R. (2000). Dreaming and the brain: Toward a cognitive neuroscience of conscious states. Behavioral and Brain Sciences, 23, 793–1121. (8)

Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J.,  .  .  .  Donoghue, J. P. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485, 372–375. (7)

Hodes, G. E., Kana, V., Menard, C., Merad, M., & Russo, S. J. (2015). Neuroimmune mecha- nisms of depression. Nature Neuroscience, 18, 1386–1393. (14)

Hoebel, B. G., & Hernandez, L. (1993). Basic neural mechanisms of feeding and weight regulation. In A. J. Stunkard & T. A. Wadden (Eds.), Obesity: Theory and therapy (2nd ed., pp. 43–62). New York: Raven Press. (9)

Hoebel, B. G., Rada, P. V., Mark, G. P., & Pothos, E. (1999). Neural systems for reinforcement and inhibition of behavior: Relevance to eating, addiction, and depression. In D. Kahneman, E. Diener, & N. Schwartz (Eds.), Well-being: Foundations of hedonic psychol- ogy (pp. 560–574). New York: Russell Sage Foundation. (9)

Hoffer, A. (1973). Mechanism of action of nicotinic acid and nicotinamide in the treat- ment of schizophrenia. In D. Hawkins & L. Pauling (Eds.), Orthomolecular psychiatry (pp. 202–262). San Francisco: Freeman. (14)

Hoffman, P. L., Tabakoff, B., Szabó, G., Suzdak, P. D., & Paul, S. M. (1987). Effect of an imidazobenzodiazepine, Ro15-4513, on the incoordination and hypothermia produced by ethanol and pento-barbital. Life Sciences, 41, 611–619. (11)

Hoffmann, F., & Curio, G. (2003). REM-Schlaf und rezidivierende Erosio corneae—eine Hypothese. [REM sleep and recurrent corneal erosion—A hypothesis.] Klinische Monatsblatter für Augenheilkunde, 220, 51–53. (8)

Holcombe, A. O., & Cavanagh, P. (2001). Early binding of feature pairs for visual percep- tion. Nature Neuroscience, 4, 127–128. (3)

Hollis, E. R. II, Ishiko, N., Yu, T., Lu, C.-C., Haimovich, A., Tolentino, K.,  .  .  .  Zou, Y. (2016). Ryk controls remapping of motor cortex during functional recovery after spi- nal cord injury. Nature Neuroscience, 19, 697–705. (4)

Hollister, J. M., Laing, P., & Mednick, S. A. (1996). Rhesus incompatibility as a risk factor for schizophrenia in male adults. Archives of General Psychiatry, 53, 19–24. (14)

Hollon, S. D., DeRubeis, R. J., Fawcett, J., Amsterdam, J. D., Shelton, R. C., Zajecka, J.,  .  .  . Gallop, R. (2014). Effect of cognitive therapy with antidepressant medications versus antidepressants alone on the rate of recovery in major depressive disorder. A

randomized clinical trial. JAMA Psychiatry, 71, 1157–1164. (14)

Hollon, S. D., Thase, M. E., & Markowitz, J. C. (2002). Treatment and prevention of depres- sion. Psychological Science in the Public Interest, 3, 39–77. (14)

Holy, T. E., Dulac, C., & Meister, M. (2000). Responses of vomeronasal neurons to natu- ral stimuli. Science, 289, 1569–1572. (6)

Homewood, J., & Stevenson, R. J. (2001). Differences in naming accuracy of odors presented to the left and right nostrils. Biological Psychology, 58, 65–73. (13)

Hopkins, W. D. (2006). Comparative and famil- ial analysis of handedness in great apes. Psychological Bulletin, 132, 538–559. (13)

Hopkins, W. D., Misiura, M., Pope, S. M., & Latash, E. M. (2015). Behavioral and brain asymmetries in primates: A preliminary evaluation of two evolutionary hypotheses. Annals of the New York Academy of Sciences, 1359, 65–83. (13)

Horikawa, T., Tamaki, M., Miyawaki, Y., & Kamitani, Y. (2013). Neural decoding of visual imagery during sleep. Science, 340, 639–642. (3)

Horn, S. R., Charney, D. S., & Feder, A. (2016). Understanding resilience: New approaches for preventing and treating PTSD. Experimental Neurology, 284, 119–132. (11)

Horne, J. A. (1992). Sleep and its disorders in chil- dren. Journal of Child Psychology & Psychiatry & Allied Disciplines, 33, 473–487. (8)

Horne, J. A., & Minard, A. (1985). Sleep and sleepiness following a behaviourally “active” day. Ergonomics, 28, 567–575. (8)

Horowitz, L. F., Saraiva, L. R., Kuang, D., Yoon, K.-h., & Buck, L. B. (2014). Olfactory recep- tor patterning in a higher primate. Journal of Neuroscience, 34, 12241–12252. (6)

Horridge, G. A. (1962). Learning of leg position by the ventral nerve cord in headless insects. Proceedings of the Royal Society of London, B, 157, 33–52. (12)

Horst, W. D., & Preskorn, S. H. (1998). Mechanisms of action and clinical charac- teristics of three atypical antidepressants: Venlafaxine, nefazodone, bupropion. Journal of Affective Disorders, 51, 237–254. (14)

Horvath, T. L. (2005). The hardship of obe- sity: A soft-wired hypothalamus. Nature Neuroscience, 8, 561–565. (9)

Hoshi, E., & Tanji, J. (2000). Integration of target and body-part information in the pre- motor cortex when planning action. Nature, 408, 466–470. (7)

Hötting, K., & Röder, B. (2013). Beneficial effects of physical exercise on neuroplas- ticity and cognition. Neuroscience and Biobehavioral Reviews, 37, 2243–2257. (4)

Houk, C. P., & Lee, P. A. (2010). Approach to assigning gender in 46,XX congenital adrenal hyperplasia with male external geni- talia: Replacing dogmatism with pragma- tism. Journal of Clinical Endocrinology & Metabolism, 95, 4501–4508. (10)

Hourai, A., & Miyata, S. (2013). Neurogenesis in the circumventricular organs of adult

08202_ref_ptg01.indd 527 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

528 REFERENCES

mouse brains. Journal of Neuroscience Research, 91, 757–770. (9)

Hovda, D. A., & Feeney, D. M. (1989). Amphetamine-induced recovery of visu- al cliff performance after bilateral visual cortex ablation in cats: Measurements of depth perception thresholds. Behavioral Neuroscience, 103, 574–584. (4)

Howard, J. D., Plailly, J., Grueschow, M., Haynes, J.-D., & Gottfried, J. A. (2009). Odor quality coding and categorization in human posterior piriform cortex. Nature Neuroscience, 12, 932–938. (6)

Howes, O. D., & Kapur, S. (2009). The dopamine hypothesis of schizophrenia: Version III— the final common pathway. Schizophrenia Bulletin, 35, 549–562. (14)

Hrdy, S. B. (2000). The optimal number of fathers. Annals of the New York Academy of Sciences, 907, 75–96. (10)

Hróbjartsson, A., & Gøtzsche, P. C. (2001). Is the placebo powerless? New England Journal of Medicine, 344, 1594–1602. (6)

Hsieh, P.-J., Vul, E., & Kanwisher, N. (2010). Recognition alters the spatial pattern of fMRI activation in early retinotopic cortex. Journal of Neurophysiology, 103, 1501–1507. (5)

Hu, P., Stylos-Allan, M., & Walker, M. P. (2006). Sleep facilitates consolidation of emotional declarative memory. Psychological Science, 17, 891–898. (8)

Hua, J. Y., & Smith, S. J. (2004). Neural activ- ity and the dynamics of central nervous system development. Nature Neuroscience, 7, 327–332. (4)

Huang, A. L., Chen, X., Hoon, M. A., Chandrashekar, J., Guo, W., Tränker, D., . . . Zuker, C. S. (2006). The cells and logic for mammalian sour taste detection. Nature, 442, 934–938. (6)

Huang, B. H. (2014). The effects of age on sec- ond language grammar and speech produc- tion. Journal of Psycholinguistic Research, 43, 397–420. (13)

Huang, L., Treisman, A., & Pashler, H. (2007). Characterizing the limits of human visual awareness. Science, 317, 823–825. (13)

Huang, Y.-J., Maruyama, Y., Lu, K.-S., Pereira, E., Plonsky, I., Baur, J. E.,  .  .  .  Roper, S. D. (2005). Mouse taste buds use serotonin as a neurotransmitter. Journal of Neuroscience, 25, 843–847. (2)

Hubbard, E. M., Piazza, M., Pinel, P., & Dehaene, S. (2005). Interactions between number and space in parietal cortex. Nature Reviews Neuroscience, 6, 435–448. (3)

Hubel, D. H. (1963, November). The visual cor- tex of the brain. Scientific American, 209(5), 54–62. (5)

Hubel, D. H., & Wiesel, T. N. (1959). Receptive fields of single neurons in the cat’s striate cortex. Journal of Physiology, 148, 574–591. (5)

Hubel, D. H., & Wiesel, T. N. (1965). Binocular interaction in striate cortex of kittens reared with artificial squint. Journal of Neurophysiology, 28, 1041–1059. (5)

Hubel, D. H., & Wiesel, T. N. (1977). Functional architecture of macaque monkey visual

cortex. Proceedings of the Royal Society of London, B, 198, 1–59. (5)

Hubel, D. H., & Wiesel, T. N. (1998). Early exploration of the visual cortex. Neuron, 20, 401–412. (5)

Huber, E., Webster, J. M., Brewer, A. A., MacLeod, D. I. A., Wandell, B. A., Boynton, G. M.,  .  .  . Fine, I. (2015). A lack of experi- ence-dependent plasticity after more than a decade of recovered sight. Psychological Science, 26, 393–401. (5)

Huber, R., Ghilardi, M. F., Massimini, M., & Tononi, G. (2004). Local sleep and learning. Nature, 430, 78–81. (8)

Hudson, J. I., Hiripi, E., Pope, H. G., Jr., & Kessler, R. C. (2007). The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biological Psychiatry, 61, 348–358. (9)

Hudson, J. I., Mangweth, B., Pope, H. G., Jr., De Col, C., Hausmann, A., Gutweniger, S.,  .  .  .  Tsuang, M. T. (2003). Family study of affective spectrum disorder. Archives of General Psychiatry, 60, 170–177. (14)

Hudspeth, A. J. (2014). Integrating the active process of hair cells with cochlear function. Nature Reviews Neuroscience, 15, 600–614. (6)

Hugdahl, K. (1996). Brain laterality—Beyond the basics. European Psychologist, 1, 206– 220. (13)

Hull, E. M., Du, J., Lorrain, D. S., & Matuszewich, L. (1997). Testosterone, preoptic dopamine, and copulation in male rats. Brain Research Bulletin, 44, 327–333. (10)

Hull, E. M., Eaton, R. C., Markowski, V. P., Moses, J., Lumley, L. A., & Loucks, J. A. (1992). Opposite influence of medial preop- tic D1 and D2 receptors on genital reflexes: Implications for copulation. Life Sciences, 51, 1705–1713. (10)

Hull, E. M., Lorrain, D. S., Du, J., Matuszewich, L., Lumley, L. A., Putnam, S. K., & Moses, J. (1999). Hormone-neurotransmitter inter- actions in the control of sexual behavior. Behavioural Brain Research, 105, 105–116. (10)

Hull, E. M., Nishita, J. K., Bitran, D., & Dalterio, S. (1984). Perinatal dopamine-related drugs demasculinize rats. Science, 224, 1011– 1013. (10)

Hull, R., & Vaid, J. (2007). Bilingual language lateralization: A meta-analytic tale of two hemispheres. Neuropsychologia, 45, 1987– 2008. (13)

Hunt, L. T., Kolling, N., Soltani, A., Woolrich, M. W., Rushworth, M. F. S., & Behrens, T. E. J. (2012). Mechanisms underlying cortical activity during value-guided choice. Nature Neuroscience, 15, 470–476. (3)

Hunt, S. P., & Mantyh, P. W. (2001). The molecular dynamics of pain control. Nature Reviews Neuroscience, 2, 83–91. (6)

Huntington’s Disease Collaborative Research Group. (1993). A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington’s disease chromo- somes. Cell, 72, 971–983. (7)

Hurovitz, C. S., Dunn, S., Domhoff, G. W., & Fiss, H. (1999). The dreams of blind men and women: A replication and extension of previous findings. Dreaming, 9, 183–193. (5)

Hurvich, L. M., & Jameson, D. (1957). An opponent-process theory of color vision. Psychological Review, 64, 384–404. (5)

Huszar, D., Lynch, C. A., Fairchild-Huntress, V., Dunmore, J. H., Fang, Q., Berkemeier, L. R., . . . Lee, F. (1997). Targeted disruption of the melanocortin-4 receptor results in obe- sity in mice. Cell, 88, 131–141. (9)

Hutcherson, C. A., Montaser-Kouhsari, L., Woodward, J., & Rangel, A. (2015). Emotional and utilitarian appraisals of moral dilemmas are encoded in separate areas and integrated in ventromedial pre- frontal cortex. Journal of Neuroscience, 35, 12593–12605. (11)

Hutcheson, D. M., Everitt, B. J., Robbins, T. W., & Dickinson, A. (2001). The role of withdrawal in heroin addiction: Enhances reward or promotes avoidance? Nature Neuroscience, 4, 943–947. (14)

Hutchison, K. E., LaChance, H., Niaura, R., Bryan, A., & Smolen, A. (2002). The DRD4 VNTR polymorphism influences reactiv- ity to smoking cues. Journal of Abnormal Psychology, 111, 134–143. (14)

Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E., & Gallant, J. L. (2016). Natural speech reveals the semantic maps that tile human cerebral cortex. Nature, 532, 453–458. (13)

Huttner, H. B., Bergmann, O., Salehpour, M., Rácz, A., Tatarishvili, J., Lindgren, E., . . . Frisén, J. (2014). The age and genomic integrity of neurons after cortical stroke in humans. Nature Neuroscience, 17, 801–803. (4)

Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321, 494–495. (12)

Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., & Schlaug, G. (2009a). Musical training shapes structural brain development. Journal of Neuroscience, 29, 3019–3025. (4)

Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., . . . Schlaug, G. (2009b). The effects of musical training on structural brain development: A longitudi- nal study. Annals of the New York Academy of Sciences, 1169,182–186. (4)

Hyde, K. L., Lerch, J. P., Zatorre, R. J., Griffiths, T. D., Evans, A. C., & Peretz, I. (2007). Cortical thickness in congenital amusia: When less is better than more. Journal of Neuroscience, 27, 13028–13032. (6)

Hyde, K. L., & Peretz, I. (2004). Brains that are out of tune but in time. Psychological Science, 15, 356–360. (6)

Iggo, A., & Andres, K. H. (1982). Morphology of cutaneous receptors. Annual Review of Neuroscience, 5, 1–31. (6)

Ikemoto, S., Yang, C., & Tan, A. (2015). Basal ganglia circuit loops, dopamine

08202_ref_ptg01.indd 528 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 529

and motivation: A review and enquiry. Behavioural Brain Research, 290, 17–31. (7)

Ikonomidou, C., Bittigau, P. Ishimaru, M. J., Wozniak, D. F., Koch, C., Genz, K., . . . Olney, J. W. (2000). Ethanol-induced apoptotic neurodegeneration and fetal alco- hol syndrome. Science, 287, 1056–1060. (4)

Ilieva, I. P., Hook, C. J., & Farah, M. J. (2015). Prescription stimulants’ effects on healthy inhibitory control, working memory, and episodic memory: A meta-analysis. Journal of Cognitive Neuroscience, 27, 1069–1089. (12)

Imamura, K., Mataga, N., & Mori, K. (1992). Coding of odor molecules by mitral/tufted cells in rabbit olfactory bulb: I. Aliphatic compounds. Journal of Neurophysiology, 68, 1986–2002. (6)

Immordino-Yang, M. H., Christodoulou, J. A., & Singh, V. (2012). Rest is not idleness: Implications of the brain’s default mode for human development and education. Perspectives on Psychological Science, 7, 352–364. (3)

Imperato-McGinley, J., Guerrero, L., Gautier, T., & Peterson, R. E. (1974). Steroid 5 alpha- reductase deficiency in man: An inherited form of male pseudohermaphroditism. Science, 186, 1213–1215. (10)

Ingram, C. J. E., Mulcare, C. A., Itan, Y., Thomas, M. G., & Swallow, D. M. (2009). Lactose digestion and the evolutionary genetics of lactase persistence. Human Genetics, 124, 579–591. (9)

Innocenti, G. M. (1980). The primary visual pathway through the corpus callosum: Morphological and functional aspects in the cat. Archives Italiennes de Biologie, 118, 124–188. (13)

Inouye, S. T., & Kawamura, H. (1979). Persistence of circadian rhythmicity in a mammalian hypothalamic “island” contain- ing the suprachiasmatic nucleus. Proceedings of the National Academy of Sciences, USA, 76, 5962–5966. (8)

Isaacson, G., & Adler, M. (2012). Randomized clinical trials underestimate the efficacy of antidepressants in less severe depression. Acta Psychiatrica Scandinavica, 125, 453– 459. (14)

Ishizawa, Y., Ahmed, O. J., Patel, S. R., Gale, J. T., Sierra-Mercado, D., Brown, E. N., & Eskandar, E. N. (2016). Dynamics of pro- pofol-induced loss of consciousness across primate neocortex. Journal of Neuroscience, 36, 7718–7726. (13)

Ishizuka, K., Kamiya, A., Oh, E. C., Kanki, H., Seshadri, S., Robinson, J. F.,  .  .  .  Sawa, A. (2011). DISC-1-dependent switch from progenitor proliferation to migration in the developing cortex. Nature, 473, 92–96. (14)

Isler, K., & van Schaik, C. P. (2009). The expen- sive brain: A framework for explaining evo- lutionary changes in brain size. Journal of Human Evolution, 57, 392–400. (12)

Isoda, M., & Hikosaka, O. (2007). Switching from automatic to controlled action by monkey medial frontal cortex. Nature Neuroscience, 10, 240–248. (7)

Iuculano, T., & Kadosh, R. C. (2013). The men- tal cost of cognitive enhancement. Journal of Neuroscience, 33, 4482–4486. (12)

Iverson, J. M., & Goldin-Meadow, S. (2005). Gesture paves the way for language development. Psychological Science, 16, 367–371. (13)

Ivry, R. B., & Diener, H. C. (1991). Impaired velocity perception in patients with lesions of the cerebellum. Journal of Cognitive Neuroscience, 3, 355–366. (7)

Iwata, Y., Nakajima, S., Suzuki, T., Keefe, R. S. E., Plitman, E., Chung, J. K.,  . . . Uchida, H. (2015). Effects of glutamate positive modulators on cognitive deficits in schizophrenia: A systematic review and meta-analysis of double-blind randomized controlled trials. Molecular Psychiatry, 20, 1151–1160. (14)

Iwema, C. L., Fang, H., Kurtz, D. B., Youngentob, S. L., & Schwob, J. E. (2004). Odorant receptor expression patterns are restored in lesion-recovered rat olfactory epithelium. Journal of Neuroscience, 24, 356–369. (6)

Jablensky, A. V., Morgan, V., Zubrick, S. R., Bower, C., & Yellachich, L.-A. (2005). Pregnancy, delivery, and neonatal complications in a population cohort of women with schizophre- nia and major affective disorders. American Journal of Psychiatry, 162, 79–91. (14)

Jacobs, B., & Scheibel, A. B. (1993). A quantita- tive dendritic analysis of Wernicke’s area in humans: I. Lifespan changes. Journal of Comparative Neurology, 327, 83–96. (4)

Jacobs, G. D., & Snyder, D. (1996). Frontal brain asymmetry predicts affective style in men. Behavioral Neuroscience, 110, 3–6. (14)

Jacobs, G. H. (2014). The discovery of spec- tral opponency in visual systems and its impact on understanding the neurobiology of color vision. Journal of the History of the Neurosciences, 23, 287–314. (5)

Jacobs, J., Weidemann, C. T., Miller, J. F., Solway, A., Burke, J. F., Wei, X.-X., . . . Kahana, M. J. (2013). Direct recordings of grid-like neu- ronal activity in human spatial navigation. Nature Neuroscience, 16, 1188–1190. (13)

Jaffe, A. E., Gao, Y., Deep-Soboslay, A., Tao, R., Hyde, T. M., Weinberger, D. R., & Kleinman, J. E. (2016). Mapping DNA methylation across development, genotype and schizo- phrenia in the human frontal cortex. Nature Neuroscience, 19, 40–47. (4)

Jahanshahi, M., Obeso, I., Rothwell, J. C., & Obeso, J. A. (2015). A fronto-striato-sub- thalamic-pallidal network for goal-directed and habitual inhibition. Nature Reviews Neuroscience, 16, 719–732. (7)

James, R. S. (2013). A review of the thermal sensitivity of the mechanics of vertebrate skeletal muscle. Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology, 183, 723–733. (9)

James, T. W., & James, K. H. (2013). Expert individuation of objects increases activa- tion in the fusiform face area of children. NeuroImage, 67, 182–192. (5)

James, W. (1884). What is an emotion? Mind, 9, 188–205. (11)

James, W. (1894). The physical basis of emo- tion. Psychological Review, 1, 516–529. (11)

James, W. (1961). Psychology: The briefer course. New York: Harper. (Original work published 1892) (13)

Jameson, K. A., Highnote, S. M., & Wasserman, L. M. (2001). Richer color experience in observers with multiple photopigment opsin genes. Psychonomic Bulletin and Review, 8, 244–261. (5)

Jäncke, L., Beeli, G., Eulig, C., & Hänggi, J. (2009). The neuroanatomy of grapheme- color synesthesia. European Journal of Neuroscience, 29, 1287–1293. (6)

Janak, P. H., & Tye, K. M. (2015). From circuits to behaviour in the amygdala. Nature, 517, 284–292. (11)

Jarrard, L. E., Okaichi, H., Steward, O., & Goldschmidt, R. B. (1984). On the role of hippocampal connections in the perfor- mance of place and cue tasks: Comparisons with damage to hippocampus. Behavioral Neuroscience, 98, 946–954. (12)

Jenkins, L. M., Andrewes, D. G., Nicholas, C. L., Drummond, K. L., Moffat, B. A., Phal, P.,  .  .  .  Kessels, R. P. C. (2014). Social cognition in patients following surgery to the prefrontal cortex. Psychiatry Research: Neuroimaging, 224, 192–203. (13)

Jennings, J. H., Rizzi, G., Stamatakis, A. M., Ung, R. L., & Stuber, G. D. (2013). The inhibitory circuit architecture of the lateral hypothalamus orchestrates feeding. Science, 341, 1517–1521. (9)

Jerison, H. J. (1985). Animal intelligence as encephalization. Philosophical Transactions of the Royal Society of London, B, 308, 21–35. (3)

Jesulola, E., Sharpley, C. F., Bitsika, V., Agnew, L. L., & Wilson, P. (2015). Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues. Behavioural Brain Research, 292, 56–67. (14)

Ji, D., & Wilson, M. A. (2007). Coordinated memory replay in the visual cortex and hippocampus during sleep. Nature Neuroscience, 10, 100–107. (8)

Jiang, P., Josue, J., Li, X., Glaser, D., Li, W., Brand, J. G.,  .  .  .  Beauchamp, G. K. (2012). Major taste loss in carnivorous mammals. Proceedings of the National Academy of Sciences (U.S.A.), 109, 4956–4961. (6)

Jiang, Y., Costello, P., & He, S. (2007). Processing of invisible stimuli. Psychological Science, 18, 349–355. (13)

Jirout, J. J., & Newcombe, N. S. (2015). Building blocks for developing spatial skills: Evidence from a large, representative U.S. sample. Psychological Science, 26, 302–310. (12)

Joel, D., Berman, Z., Tavor, I., Wexler, N., Gaber, O., Stein, Y.,  .  .  .  Assaf, Y. (2015). Proceedings of the National Academy of Sciences (U.S.A.), 50, 15468–15473. (10)

Johanek, L. M., Meyer, R. A., Hartke, T., Hobelmann, J. G., Maine, D. N., LaMotte, R.

08202_ref_ptg01.indd 529 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

530 REFERENCES

H., & Ringkamp, M. (2007). Psychophysical and physiological evidence for parallel affer- ent pathways mediating the sensation of itch. Journal of Neuroscience, 27, 7490–7497. (6)

Johansson, C., Willeit, M., Smedh, C., Ekholm, J., Paunio, T., Kieseppä, T.,  .  .  .  Partonen, T. (2003). Circadian clock-related poly- morphisms in seasonal affective disorder and their relevance to diurnal preference. Neuropsychopharmacology, 28, 734–739. (14)

Johnsen, E. L., Tranel, D., Lutgendorf, S., & Adolphs, R. (2009). A neuroanatomical dis- sociation for emotion induced by music. International Journal of Psychophysiology, 72, 24–33. (11)

Johnson, M. R., Shkura, K., Langley, S. R., Delahaye-Duriez, A., Srivastava, P., Hill, W. D.,  .  .  . Petretto, E. (2016). Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease. Nature Neuroscience, 19, 223–232. (12)

Johnson, P. L., Federici, L. M., Fitz, S. D., Renger, J. J., Shireman, B., Winrow, C. J., . . .  Shekhar, A. (2015). Orexin 1 and 2 receptor involvement in CO2-induced panic-asso- ciated behavior and autonomic responses. Depression and Anxiety, 32, 671–683. (11)

Johnsrude, I. S., Mackey, A., Hakyemez, H., Alexander, E., Trang, H. P., & Carlyon, R. P. (2013). Swinging at a cocktail party: Voice familiarity aids speech perception in the presence of a competing voice. Psychological Science, 24, 1995–2004. (6)

Jonas, D. E., Amick, H. R., Feltner, C., Bobashev, G., Thomas, K., Wines, R., . . . Garbutt, J. C. (2014). Pharmacology for adults with alcohol use disorders in outpatient settings: A sys- tematic review and meta-analysis. Journal of the American Medical Association, 311, 1889–1900. (14)

Jones, A. R., & Shusta, E. V. (2007). Blood– brain barrier transport of therapeutics via receptor-mediation. Pharmaceutical Research, 24, 1759–1771. (1)

Jones, C. R., Campbell, S. S., Zone, S. E., Cooper, F., DeSano, A., Murphy, P. J., . . . Ptacek, L. J. (1999). Familial advanced sleep-phase syn- drome: A short-period circadian rhythm variant in humans. Nature Medicine, 5, 1062–1065. (8)

Jones, C. R., Huang, A. L., Ptácek, L. J., & Fu, Y.-H. (2013). Genetic basis of human circadian rhythm disorders. Experimental Neurology, 243, 28–33. (8)

Jones, E. G., & Pons, T. P. (1998). Thalamic and brainstem contributions to large-scale plasticity of primate somatosensory cortex. Science, 282, 1121–1125. (4)

Jones, H. S., & Oswald, I. (1968). Two cases of healthy insomnia. Electroencephalography and Clinical Neurophysiology, 24, 378–380. (8)

Jones, P. B., Barnes, T. R. E., Davies, L., Dunn, G., Lloyd, H., Hayhurst, K. P.,  .  .  .  Lewis, S. W. (2006). Randomized controlled trial of the effect on quality of life of second- vs. first-generation antipsychotic drugs in schizophrenia. Archives of General Psychiatry, 63, 1079–1087. (14)

Jones, W., & Klin, A. (2013). Attention to eyes is present but in decline in 2-6-month-old infants later diagnosed with autism. Nature, 504, 427–431. (14)

Jordan, H. A. (1969). Voluntary intragas- tric feeding. Journal of Comparative and Physiological Psychology, 62, 237–244. (9)

Jouvet, M. (1960). Telencephalic and rhomb- encephalic sleep in the cat. In G. E. W. Wolstenholme & M. O’Connor (Eds.), CIBA Foundation symposium on the nature of sleep (pp. 188–208). Boston: Little, Brown. (8)

Juda, M., Vetter, C., & Roenneberg, T. (2013). Chronotype modulates sleep duration, sleep quality, and social jet lag in shift-workers. Journal of Biological Rhythms, 28, 141–151. (8)

Judge, J., Caravolas, M., & Knox, P. C. (2006). Smooth pursuit eye movements and phonological processing in adults with dyslexia. Cognitive Neuropsychology, 23, 1174–1189. (13)

Jueptner, M., & Weiller, C. (1998). A review of differences between basal ganglia and cerebellar control of movements as revealed by functional imaging studies. Brain, 121, 1437–1449. (7)

Julvez, J., Méndez, M., Fernandez-Barres, S., Romaguera, D., Vioque, J., Llop, S., . . . Sunyer, J. (2016). Maternal consump- tion of seafood in pregnancy and child neuropsychological development: A longi- tudinal study based on a population with high consumption levels. American Journal of Epidemiology, 183, 169–182. (9)

Jumah, F., Ghannam, M., Jaber, M., Adeeb, N., & Tubbs, R. S. (2016). Neuroanatomical varia- tion in autism spectrum disorder: A com- prehensive review. Clinical Anatomy, 29, 454–465. (14)

Jürgensen, M., Kleinemeier, E., Lux, A., Steensma, T. D., Cohen-Kettenis, P. T., Hiort, O., . . . DSD Network Working Group. (2013). Psychosexual development in ado- lescents and adults with disorders of sexual development—Results from the German Clinical Evaluation Study. Journal of Sexual Medicine, 10, 2703–2714. (10)

Kaas, J. H. (1983). What, if anything, is SI? Organization of first somatosensory area of cortex. Physiological Reviews, 63, 206–231. (6)

Kaas, J. H., Merzenich, M. M., & Killackey, H. P. (1983). The reorganization of somatosenso- ry cortex following peripheral nerve damage in adult and developing mammals. Annual Review of Neuroscience, 6, 325–356. (4)

Kaas, J. H., Nelson, R. J., Sur, M., Lin, C.-S., & Merzenich, M. M. (1979). Multiple repre- sentations of the body within the primary somatosensory cortex of primates. Science, 204, 521–523. (3)

Kaas, J. H., & Stepniewska, I. (2016). Evolution of posterior parietal cortex and parietal- frontal networks for specific actions in pri- mates. Journal of Comparative Neurology, 524, 595–608. (7)

Kagan, J. (2016). An overly pessimistic exten- sion. Perspectives on Psychological Science, 11, 442–450. (11)

Kaiser, A., Haller, S., Schmitz, S., & Nitsch, C. (2009). On sex/gender related similarities and differences in fMRI language research. Brain Research Reviews, 61, 49–59. (10)

Kales, A., Scharf, M. B., & Kales, J. D. (1978). Rebound insomnia: A new clinical syn- drome. Science, 201, 1039–1041. (8)

Kalin, N. H., Shelton, S. E., Davidson, R. J., & Kelley, A. E. (2001). The primate amygdala mediates acute fear but not the behavioral and physiological components of anxious temperament. Journal of Neuroscience, 21, 2067–2074. (11)

Kaminer, Y. (2000). Contingency management reinforcement procedures for adolescent substance abuse. Journal of the American Academy of Child and Adolescent Psychiatry, 39, 1324–1326. (14)

Kamitani, Y., & Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nature Neuroscience, 8, 679–685. (13)

Kandel, E. R., & Schwartz, J. H. (1982). Molecular biology of learning: Modulation of transmitter release. Science, 218, 433–443. (12)

Kántor, O., Mezey, S., Adeghate, J., Naumann, A., Nitschke, R., Énzsöly, A.,  .  .  . Völgyi, B. (2016). Calcium buffer proteins are specific markers of human retinal neurons. Cell and Tissue Research, 365, 29–50. (5)

Kanwisher, N. (2010). Functional specificity in the human brain: A window into the func- tional architecture of the mind. Proceedings of the National Academy of Sciences, 107, 11163–11170. (5)

Kanwisher, N., & Yovel, G. (2006). The fusi- form face area: A cortical region specialized for the perception of faces. Philosophical Transactions of the Royal Society, B, 361, 2109–2128. (5)

Kaplan, B. J., Rucklidge, J. J., Romijn, A., & McLeod, K. (2015). The emerging field of nutritional mental health: Inflammation, the microbiome, oxidative stress, and mito- chondrial function. Clinical Psychological Science, 3, 964–980. (14)

Kapur, S., Zipusky, R., Jones, C., Shammi, C. S., Remington, G., & Seeman, P. (2000). A positron emission tomography study of que- tiapine in schizophrenia. Archives of General Psychiatry, 57, 553–559. (14)

Karg, K., Burmeister, M., Shedden, K., & Sen, S. (2011). The serotonin transporter promoter variant (5-HTTLPR), stress, and depression meta-analysis revisited. Archives of General Psychiatry, 68, 444–454. (14)

Kargo, W. J., & Nitz, D. A. (2004). Improvements in the signal-to-noise ratio of motor cortex cells distinguish early versus late phases of motor skill learning. Journal of Neuroscience, 24, 5560–5569. (7)

Karlsson, M., & Frank, L. M. (2009). Awake replay of remote experiences in the hip- pocampus. Nature Neuroscience, 12, 913–918. (8)

Karmiloff-Smith, A., Tyler, L. K., Voice, K., Sims, K., Udwin, O., Howlin, P., & Davises,

08202_ref_ptg01.indd 530 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 531

M. (1998). Linguistic dissociations in Williams syndrome: Evaluating recep- tive syntax in on-line and off-line tasks. Neuropsychologia, 36, 343–351. (13)

Karnath, H. O., Rüter, J., Mandler, A., & Himmelbach, M. (2009). The anatomy of object recognition: Visual form agnosia caused by medial occipitotemporal stroke. Journal of Neuroscience, 29, 5854–5862. (5)

Karns, C. M., Dow, M. W., & Neville, H. J. (2012). Altered cross-modal processing in the primary auditory cortex of congenitally deaf adults: A visual-somatosensory fMRI study with a double-flash illusion. Journal of Neuroscience, 32, 9626–638. (4)

Karra, E., O’Daly, O. G., Choudhury, A. I., Yousseif, A., Millership, S., Neary, M. T.,  .  .  .  Batterham, R. L. (2013). A link between FTO, ghrelin, and impaired brain food-cue responsivity. Journal of Clinical Investigation, 123, 3539–3551. (9)

Karrer, T., & Bartoshuk, L. (1991). Capsaicin desensitization and recovery on the human tongue. Physiology & Behavior, 49, 757–764. (6)

Kas, M. J. H., Tiesjema, B., van Dijk, G., Garner, K. M., Barsh, G. S., Ter Brake, O., . . . Adan, R. A. H. (2004). Induction of brain region- specific forms of obesity by agouti. Journal of Neuroscience, 24, 10176–10181. (9)

Katz, L. N., Yates, J. L., Pillow, J. W., & Huk, A. C. (2016). Dissociated functional significance of decision-related activity in the primate dorsal stream. Nature, 535, 285–288. (13)

Kavanau, J. L. (1998). Vertebrates that never sleep: Implications for sleep’s basic function. Brain Research Bulletin, 46, 269–279. (8)

Kay, C., Collins, J. A., Miedzybrodzka, Z., Madore, S. J., Gordon, E. S., Gerry, N.,  .  .  .  Hayden, M. R. (2016). Huntington disease reduced penetrance alleles occur at high frequency in the general population. Neurology, 87, 282–288. (7)

Kayyal, M. H., & Russell, J. A. (2013). Americans and Palestinians judge spontane- ous facial expressions of emotion. Emotion, 13, 891–904. (11)

Kazama, A. M., Heurer, E., Davis, M., & Bachevalier, J. (2012). Effects of neonatal amygdala lesions on fear learning, condi- tioned inhibition, and extinction in adult macaques. Behavioral Neuroscience, 126, 392–403. (11)

Kazén, M., Kuenne, T., Frankenberg, H., & Quirin, M. (2012). Inverse relation between cortisol and anger and their relation to per- formance and explicit memory. Biological Psychology, 91, 28–35. (11)

Keefe, R. S. E., Silverman, J. M., Mohs, R. C., Siever, L. J., Harvey, P. D., Friedman, L.,  .  .  .  Davis, K. L. (1997). Eye tracking, attention, and schizotypal symptoms in non- psychotic relatives of patients with schizo- phrenia. Archives of General Psychiatry, 54, 169–176. (14)

Keele, S. W., & Ivry, R. (1990). Does the cer- ebellum provide a common computation

for diverse tasks? Annals of the New York Academy of Sciences, 608, 179–207. (7)

Keers, R., & Uher, R. (2012). Gene-environment interaction in major depression and anti- depressant treatment response. Current Psychiatry Reports, 14, 129–137. (14)

Keiser, M. S., Kordasiewicz, H. B., & McBride, J. L. (2016). Gene suppression strategies for dominantly inherited neurodegenera- tive diseases: Lessons from Huntington’s disease and spinocerebellar ataxia. Human Molecular Genetics, 25, R53–R64. (7)

Kelly, T. L., Neri, D. F., Grill, J. T., Ryman, D., Hunt, P. D., Dijk, D.-J.,  .  .  .  Czeisler, C. A. (1999). Nonentrained circadian rhythms of melatonin in submariners scheduled to an 18-hour day. Journal of Biological Rhythms, 14, 190–196. (8)

Kendler, K. S. (1983). Overview: A current perspective on twin studies of schizophre- nia. American Journal of Psychiatry, 140, 1413–1425. (14)

Kendler, K. S., Fiske, A., Gardner, C. O., & Gatz, M. (2009). Delineation of two genetic pathways to major depression. Biological Psychiatry, 65, 808–811. (14)

Kendler, K. S., Gardner, C. O., & Prescott, C. A. (1999). Clinical characteristics of major depression that predict risk of depression in relatives. Archives of General Psychiatry, 56, 322–327. (14)

Kendler, K. S., Turkheimer, E., Ohlsson, H., Sundquist, J., & Sundquist, K. (2015). Family environment and the malleability of cogni- tive ability: A Swedish national home-reared and adopted-away cosibling control study. Proceedings of the National Academy of Sciences (U.S.A.), 112, 4612–4617. (12)

Kennard, C., Lawden, M., Morland, A. B., & Ruddock, K. H. (1995). Colour identifica- tion and colour constancy are impaired in a patient with incomplete achromatopsia associated with prestriate cortical lesions. Proceedings of the Royal Society of London, B, 260, 169–175. (5)

Kennaway, D. J., & Van Dorp, C. F. (1991). Free-running rhythms of melatonin, cor- tisol, electrolytes, and sleep in humans in Antarctica. American Journal of Physiology, 260, R1137–R1144. (8)

Kennedy, D. P., & Adolphs, R. (2010). Impaired fixation to eyes following amygdala damage arises from abnormal bottom-up attention. Neuropsychologia, 48, 3392–3398. (11)

Kennedy, D. P., Gläscher, J., Tyszka, J. M., & Adolphs, R. (2009). Personal space reg- ulation by the human amygdala. Nature Neuroscience, 12, 1226–1227. (11)

Kennerley, S. W., Diedrichsen, J., Hazeltine, E., Semjen, A., & Ivry, R. B. (2002). Callosotomy patients exhibit temporal uncoupling during continuous bimanual movements. Nature Neuroscience, 5, 376–381. (13)

Kerchner, G. A., & Nicoll, R. A. (2008). Silent synapses and the emergence of a postsyn- aptic mechanism for LTP. Nature Reviews Neuroscience, 9, 813–825. (12)

Kerns, J. G. (2007). Experimental manipulation of cognitive control processes causes an increase in communication disturbances in healthy volunteers. Psychological Medicine, 37, 995–1004. (14)

Keshavan, M. S., Diwadkar, V. A., Montrose, D. M., Rajarethinam, R., & Sweeney, J. A. (2005). Premorbid indicators and risk for schizophrenia: A selective review and update. Schizophrenia Research, 79, 45–57. (14)

Kesner, R. P., Gilbert, P. E., & Barua, L. A. (2002). The role of the hippocampus in meaning for the temporal order of a sequence of odors. Behavioral Neuroscience, 116, 286–290. (12)

Kety, S. S., Wender, P. H., Jacobson, B., Ingraham, L. J., Jansson, L., Faber, B., & Kinney, D. K. (1994). Mental illness in the biological and adoptive relatives of schizo- phrenic adoptees. Archives of General Psychiatry, 51, 442–455. (14)

Keverne, E. B. (1999). The vomeronasal organ. Science, 286, 716–720. (6)

Khakh, B. J., & Sofroniew, M. V. (2015). Diversity of astrocyte functions and phe- notypes in neural circuits. Nature Reviews Neuroscience, 18, 942–952. (1)

Khashan, A. S., Abel, K. M., McNamee, R., Pedersen, M. G., Webb, R. T., Baker, P. N.,  .  .  . Mortensen, P. B. (2008). Higher risk of offspring schizophrenia following antena- tal maternal exposure to severe adverse life events. Archives of General Psychiatry, 65, 146–152. (14)

Kiesner, J., Mendle, J., Eisenlohr-Moul, T. A., & Pastore, M. (2016). Clinical symptom change across the menstrual cycle: Attributional, affective, and physical symptoms. Clinical Psychological Science, 4, 882–894. (10)

Kilgour, A. R., de Gelder, B., & Lederman, S. J. (2004). Haptic face recognition and prosop- agnosia. Neuropsychologia, 42, 707–712. (5)

Killeffer, F. A., & Stern, W. E. (1970). Chronic effects of hypothalamic injury. Archives of Neurology, 22, 419–429. (9)

Kilner, J. M., Neal, A., Weiskopf, N., Friston, K. J., & Frith, C. D. (2009). Evidence of mirror neurons in human inferior frontal gyrus. Journal of Neuroscience, 29, 10153–10159. (7)

Kim, E. J., Pellman, B., & Kim, J. J. (2015). Stress effects on the hippocampus: A critical review. Learning & Memory, 22, 411–416. (11)

Kim, J. G., Suyama, S., Koch, M., Jin, S., Argente-Arizon, P., . . . Horvath, T. L. (2014). Leptin signaling in astrocytes regulates hypothalamic neuronal circuits and feeding. Nature Neuroscience, 17, 908–910. (1)

Kim, P., Strathearn, L., & Swain, J. E. (2016). The maternal brain and its plastic- ity in humans. Hormones and Behavior, 77, 113–123. (10)

Kim, S.-Y., Adhikari, A., Lee, S. Y., Marshel, J. H., Kim, C. K., Mallory, C. S., . . . Deisseroth, K. (2013). Diverging neural pathways assem- ble a behavioural state from separable fea- tures in anxiety. Nature, 496, 219–223. (11)

08202_ref_ptg01.indd 531 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

532 REFERENCES

Kim, U., Jorgenson, E., Coon, H., Leppert, M., Risch, N., & Drayna, D. (2003). Positional cloning of the human quantitative trait locus underlying taste sensitivity to phenylthio- carbamide. Science, 299, 1221–1225. (6)

Kim-Han, J. S., Antenor-Dorsey, J. A., & O’Malley, K. L. (2011). The Parkinsonian mimetic, MPP+, specifically impairs mito- chondrial transport in dopamine axons. Journal of Neuroscience, 31, 7212–7221. (7)

King, B. M., Smith, R. L., & Frohman, L. A. (1984). Hyperinsulinemia in rats with ventromedial hypothalamic lesions: Role of hyperphagia. Behavioral Neuroscience, 98, 152–155. (9)

Kinnamon, J. C. (1987). Organization and innervation of taste buds. In T. E. Finger & W. L. Silver (Eds.), Neurobiology of taste and smell (pp. 277–297). New York: Wiley. (6)

Kinoshita, M., Matsui, R., Kato, S., Hasegawa, T., Kasahara, H.,  .  .  .  Isa, T. (2012). Genetic dissection of the circuit for hand dexterity in primates. Nature, 487, 235–238. (7)

Kinsey, A. C., Pomeroy, W. B., & Martin, C. E. (1948). Sexual behavior in the human male. Philadelphia: Saunders. (10)

Kinsey, A. C., Pomeroy, W. B., Martin, C. E., & Gebhard, P. H. (1953). Sexual behavior in the human female. Philadelphia: Saunders. (10)

Kiriakakis, V., Bhatia, K. P., Quinn, N. P., & Marsden, C. D. (1998). The natural his- tory of tardive dyskinesia: A long-term follow-up study of 107 cases. Brain, 121, 2053–2066. (14)

Kirkpatrick, P. J., Smielewski, P., Czosnyka, M., Menon, D. K., & Pickard, J. D. (1995). Near-infrared spectroscopy in patients with head injury. Journal of Neurosurgery, 83, 963–970. (4)

Kirsch, I. (2010). The Emperor’s New Drugs. New York: Basic Books. (14)

Kirsch, I., Deacon, B. J., Huedo-Medina, T. B., Scoboria, A., Moore, T. J., & Johnson, B. T. (2008). Initial severity and antidepressant benefits: A meta-analysis of data submitted to the Food and Drug Administration. PLoS Medicine, 5, e45. (14)

Klawans, H. L. (1988). Toscanini’s fumble and other tales of clinical neurology. Chicago: Contemporary Books. (3)

Kleen, J. K., Sitomer, M. T., Killeen, P. R., & Conrad, C. D. (2006). Chronic stress impairs spatial memory and motivation for reward without disrupting motor ability and moti- vation to explore. Behavioral Neuroscience, 120, 842–851. (11)

Kleiber, M. L., Mantha, K., Stringer, R. L., & Singh, S. M. (2013). Neurodevelopmental alcohol exposure elicits long-term changes to gene expression that alter distinct molec- ular pathways dependent on timing of exposure. Journal of Neurodevelopmental Disorders, 5, article 6. (4)

Klein, D. F. (1993). False suffocation alarms, spontaneous panics, and related condi- tions. Archives of General Psychiatry, 50, 306–317. (11)

Kleitman, N. (1963). Sleep and wakefulness (Rev. ed.). Chicago: University of Chicago Press. (8)

Klengel, T., Mehta, D., Anacker, C., Rex- Haffner, M., Pruessner, J. C., Pariante, C. M.,  .  .  .  Binder, E. B. (2013). Allele-specific FKBP5 DNA demethylation mediates gene- childhood trauma interactions. Nature Neuroscience, 16, 33–41. (4)

Kluger, M. J. (1991). Fever: Role of pyrogens and cryogens. Physiological Reviews, 71, 93–127. (9)

Klüver, H., & Bucy, P. C. (1939). Preliminary analysis of functions of the temporal lobes in monkeys. Archives of Neurology and Psychiatry, 42, 979–1000. (3)

Knyazev, G. G., Slobodskaya, H. R., & Wilson, G. D. (2002). Psychophysiological correlates of behavioural inhibition and activation. Personality and Individual Differences, 33, 647–660. (11)

Ko, C.-H., Liu, G.-C., Hsiao, S., Yen, J.-Y., Yang, M.-J., Lin, W.-C.,  .  .  .  Chen, C. S. (2009). Brain activities associated with gam- ing urge of online gaming addiction. Journal of Psychiatric Research, 43, 739–747. (14)

Koban, L., & Wager, T. D. (2016). Beyond con- formity: Social influences on pain reports and physiology. Emotion, 16, 24–32. (6)

Kobayakawa, K., Kobayakawa, R., Matsumoto, H., Oka, Y., Imai, T., Ikawa, M., . . . Sakano, H. (2007). Innate versus learned odour pro- cessing in the mouse olfactory bulb. Nature, 450, 503–508. (6)

Kobelt, P., Paulitsch, S., Goebel, M., Stengel, A., Schmidtmann, M., van der Voort, I. R.,  .  .  .  Monnikes, H. (2006). Peripheral injection of CCK-8S induces Fos expression in the dorsomedial hypothalamic nucleus in rats. Brain Research, 1117, 109–117. (9)

Kochunov, P., & Hong, L. E. (2014). Neurodevelopmental and neurodegenera- tive models of schizophrenia: White matter at the center stage. Schizophrenia Bulletin, 40, 721–728. (14)

Koenigs, M., Huey, E. D., Raymont, V., Cheon, B., Solomon, J., Wassermann, E. M., & Grafman, J. (2008). Focal brain damage protects against post-traumatic stress disorder in combat vet- erans. Nature Neuroscience, 11, 232–237. (11)

Koenigs, M., Young, L., Adolphs, R., Tranel, D., Cushman, F., Hauser, M., & Damasio, A. (2007). Damage to the prefrontal cor- tex increases utilitarian moral judgments. Nature, 446, 908–911. (11)

Koepp, M. J., Gunn, R. N., Lawrence, A. D., Cunningham, V. J., Dagher, A., Jones, T.,  .  .  .  Grasby, P. M. (1998). Evidence for striatal dopamine release during a video game. Nature, 393, 266–268. (14)

Kogan, A., Oveis, C., Carr, E. W., Gruber, J., Mauss, I. B., Shallcross, A.,  .  .  .  Keltner, D. (2014). Vagal activity is quadratically related to prosocial traits, prosocial emotions, and observer perceptions of prosociality. Journal of Personality and Social Psychology, 107, 1051–1063. (11)

Kohler, E., Keysers, C., Umiltà, M. A., Fogassi, L., Gallese, V., & Rizzolatti, G. (2002). Hearing sounds, understanding actions: Action representation in mirror neurons. Science, 297, 846–848. (7)

Kohn, M. (2008). The needs of the many. Nature, 456, 296–299. (4)

Koleske, A. J. (2013). Molecular mecha- nisms of dendrite stability. Nature Reviews Neuroscience, 14, 536–550. (4)

Komisaruk, B. R., Adler, N. T., & Hutchison, J. (1972). Genital sensory field: Enlargement by estrogen treatment in female rats. Science, 178, 1295–1298. (10)

Komorowski, R. W., Manns, J. R., & Eichenbaum, H. (2009). Robust conjunc- tive item-lace coding by hippocampal neu- rons parallels learning what happens where. Journal of Neuroscience, 29, 9918–9929. (12)

Komura, Y., Tamura, R., Uwano, T., Nishijo, H., Kaga, K., & Ono, T. (2001). Retrospective and prospective coding for predicted reward in the sensory thalamus. Nature, 412, 546–549. (3)

Konadhode, R. R., Pelluru, D., & Shiromani, P. J. (2015). Neurons containing orexin or mel- anin concentrating hormone reciprocally regulate wake and sleep. Frontiers in Systems Neuroscience, 8, article UNSP244. (8)

Kondoh, K. Lu, Z., Ye, X., Olson, D. P., Lowell, B. B., & Buck, L. B. (2016). A specific area of olfactory cortex involved in stress hormone responses to predator odours. Nature, 532, 103–106. (6)

Kong, A., Frigge, M. L., Masson, G., Besenbacher, S., Sulem, P., Magnusson, G., . . . Stefansson, K. (2012). Rate of de novo mutations and the importance of father’s age to disease risk. Nature, 488, 471–475. (14)

Konishi, S., Nakajima, K., Uchida, I., Kameyama, M., Nakahara, K., Sekihara, K., & Miyashita, Y. (1998). Transient activation of inferior pre- frontal cortex during cognitive set shifting. Nature Neuroscience, 1, 80–84. (14)

Konopka, G., Bomar, J. M., Winden, K., Coppola, G., Jonsson, Z. O., Gao, F., . . . Geschwind, D. H. (2009). Human specific transcriptional regulation of CNS development genes by FOXP2. Nature, 462, 213–217. (4, 13)

Koralek, A. C., Jin, X., Long, J. D. II, Costa, R. M., & Carmena, J. M. (2012). Corticostriatal plasticity is necessary for learning inten- tional neuroprosthetic skills. Nature, 483, 331–335. (12)

Korman, M., Doyon, J., Doljansky, J., Carrier, J., Dagan, Y., & Karni, A. (2007). Daytime sleep condenses the time course of motor memory consolidation. Nature Neuroscience, 10, 1206–1213. (8)

Kornhuber, H. H. (1974). Cerebral cortex, cer- ebellum, and basal ganglia: An introduction to their motor functions. In F. O. Schmitt & F. G. Worden (Eds.), The neurosciences: Third study program (pp. 267–280). Cambridge, MA: MIT Press. (7)

Korpi, E. R., den Hollander, B., Farooq, U., Vashchinkina, E., Rajkumar, R., Nutt, D. J.,  .  .  .  Dawe, G. S. (2015). Mechanisms

08202_ref_ptg01.indd 532 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 533

of action and persistent neuroplasticity by drugs of abuse. Pharmacological Reviews, 67, 872–1004. (14)

Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2, 635–642. (5)

Kosslyn, S. M., & Thompson, W. L. (2003). When is early visual cortex activated dur- ing visual mental imagery? Psychological Bulletin, 129, 723–746. (5)

Kostrzewa, R. M., Kostrzewa, J. P., Brown, R. W., Nowak, P., & Brus, R. (2008). Dopamine receptor supersensitivity: Development, mechanisms, presentation, and clinical applicability. Neurotoxicity Research, 14, 121–128. (4)

Kotowicz, Z. (2007). The strange case of Phineas Gage. History of the Human Sciences, 20, 115–131. (11)

Kotrschal, A., Rogell, B., Bundsen, A., Svensson, B., Zajitschek, S., Brännström, I.,  .  .  . Kolm, N. (2013). Artificial selection on relative brain size in the guppy reveals costs and benefits of evolving a larger brain. Current Biology, 23, 168–171. (4)

Kourtzi, Z., & Kanwisher, N. (2000). Activation in human MT/MST by static images with implied motion. Journal of Cognitive Neuroscience, 12, 48–55. (5)

Kovach, C. K., Daw, N. D., Rudrauf, D., Tranel, D., & O’Doherty, J. P. (2012). Anterior pre- frontal cortex contributes to action selection through tracking of recent reward trends. Journal of Neuroscience, 32, 8434–8442. (12)

Kraemer, D. J. M., Macrae, C. N., Green, A. E., & Kelley, W. M. (2005). Sound of silence activates auditory cortex. Nature, 434, 158. (6)

Kraft, I., Cafiero, R., Schaadt, G., Brauer, J., Neef, N. E., Müller, B.,  .  .  .  Skeide, M. A. (2015). Cortical differences in preliterate children at familiar risk of dyslexia are simi- lar to those observed in dyslexic readers. Brain, 138, e378. (13)

Krajbich, I., Adolphs, R., Tranel, D., Denburg, N. L., & Camerer, C. F. (2009). Economic games quantify diminished sense of guilt in patients with damage to the prefrontal cortex. Journal of Neuroscience, 29, 2188–2192. (11)

Krakauer, A. H. (2005). Kin selection and coop- erative courtship in wild turkeys. Nature, 434, 69–72. (4)

Kramer, P., & Bressan, P. (2015). Humans as superorganisms: How microbes, viruses, imprinted genes, and other selfish enti- ties shape our behavior. Perspectives on Psychological Science, 10, 464–481. (14)

Krashes, M. J., Lowell, B. B., & Garfield, A. S. (2016). Melanocortin-4 receptor-regulated energy homeostasis. Nature Neuroscience, 19, 206–219. (9)

Krause, E. G., & Sakal, R. R. (2007). Richter and sodium appetite: From adrenalectomy to molecular biology. Appetite, 49, 353–367. (9)

Kravitz, A. V., Tye, L. D., & Kreitzer, A. C. (2012). Distinct roles for direct and indirect pathway striatal neurons in reinforcement. Nature Neuroscience, 15, 816–818. (7)

Kreiman, G., Fried, I., & Koch, C. (2002). Single-neuron correlates of subjective vision in the human medial temporal lobe. Proceedings of the National Academy of Sciences (U.S.A.), 99, 8378–8383. (13)

Krishnan, A., Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., . . . Troyanskaya, O. G. (2016). Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience, 19, 1454–1462. (14)

Kristensson, K. (2011). Microbes’ roadmap to neurons. Nature Reviews Neuroscience, 12, 345–357. (1)

Kropff, E., Carmichael, J. E., Moser, M.-B., & Moser, E. I. (2015). Speed cells in the medial entorhinal cortex. Nature, 523, 419–424. (12)

Kross, E., Berman, M. G., Mischel, W., Smith, E. E., & Wager, T. D. (2011). Social rejec- tion shares somatosensory representa- tions with physical pain. Proceedings of the National Academy of Sciences (U.S.A.), 108, 6270–6275. (6)

Krueger, J. M., Rector, D. M., Roy, S., Van Dongen, H. P. A., Belenky, G., & Panksepp, J. (2008). Sleep as a fundamental prop- erty of neuronal assemblies. Nature Reviews Neuroscience, 9, 910–919. (8)

Krupa, D. J., Thompson, J. K., & Thompson, R. F. (1993). Localization of a memory trace in the mammalian brain. Science, 260, 989–991. (12)

Kuba, H., Ishii, T. M., & Ohmori, H. (2006). Axonal site of spike initiation enhances auditory coincidence detection. Nature, 444, 1069–1072. (1)

Kubista, H., & Boehm, S. (2006). Molecular mechanisms underlying the modulation of exocytotic noradrenaline release via presynaptic receptors. Pharmacology & Therapeutics, 112, 213–242. (2)

Kuczewski, N., Porcer, C., Ferrand, N., Fiorentino, H., Pellegrino, C., Kolarow, R., . . . Gaiarsa, J. L. (2008). Backpropagating action potentials trigger dendritic release of BDNF during spontaneous network activity. Journal of Neuroscience, 28, 7013–7023. (12)

Kujala, T., Myllyviita, K., Tervaniemi, M., Alho, K., Kallio, J., & Näätänen, R. (2000). Basic auditory dysfunction in dyslexia as dem- onstrated by brain activity measurements. Psychophysiology, 37, 262–266. (13)

Kujawa, S. G., & Liberman, M. C. (2009). Adding insult to injury: Cochlear nerve degenera- tion after “temporary” noise-induced hear- ing loss. Journal of Neuroscience, 29, 14077– 14085. (6)

Kukkonen, J. P. (2013). Physiology of the orex- inergic/hypocretinergic system: A revisit in 2012. American Journal of Physiology, 304, C2–C32. (8)

Kullmann, D. M., & Lamsa, K. P. (2007). Long- term synaptic plasticity in hippocampal inter- neurons. Nature Reviews Neuroscience, 8, 687–699. (2)

Kumar, V., Croxson, P. L., & Simonyan, K. (2016). Structural organization of the

laryngeal motor cortical network and its implication for evolution of speech pro- duction. Journal of Neuroscience, 36, 4170–4181. (13)

Kumpik, D. P., Kacelnik, O., & King, A. J. (2010). Adaptive reweighting of auditory localization cues in response to chronic unilateral earplugging in humans. Journal of Neuroscience, 30, 4883–4894. (6)

Kupfermann, I., Castellucci, V., Pinsker, H., & Kandel, E. (1970). Neuronal correlates of habituation and dishabituation of the gill withdrawal reflex in Aplysia. Science, 167, 1743–1745. (12)

Kurth, F., Jancke, L., & Luders, E. (2017). Sexual dimorphism of Broca’s area: More gray mat- ter in female brains in Brodmann areas 44 and 45. Journal of Neuroscience Research, 95, 626–632. (12)

Kuypers, H. G. J. M. (1989). Motor system orga- nization. In G. Adelman (Ed.), Neuroscience year (pp. 107–110). Boston: Birkhäuser. (7)

Labouèbe, G., Boutrel, B., Tarussio, D., & Thorens, B. (2016). Glucose-responsive neurons of the paraventricular thalamus control sucrose-seeking behavior. Nature Neuroscience, 19, 999–1002. (9)

Laburn, H. P. (1996). How does the fetus cope with thermal challenges? News in Physiological Sciences, 11, 96–100. (4, 14)

La Delfa, N. J., Garcia, D. B. L., Cappelletto, J. A. M., McDonald, A. C., Lyons, J. L., & Lee, T. D. (2013). The gunslinger effect: Why are movements made faster when responding to versus initiating an action? Journal of Motor Behavior, 45, 85–90. (7)

Laeng, B., & Caviness, V. S. (2001). Prosopagnosia as a deficit in encod- ing curved surfaces. Journal of Cognitive Neuroscience, 13, 556–576. (5)

Laeng, B., Svartdal, F., & Oelmann, H. (2004). Does color synesthesia pose a paradox for early-selection theories of attention? Psychological Science, 15, 277–281. (6)

Lahti, T. A., Leppämäki, S., Ojanen, S.-M., Haukka, J., Tuulio-Henriksson, A., Lönnqvist, J., & Partonen, T. (2006). Transition into daylight saving time influ- ences the fragmentation of the rest–activity cycle. Journal of Circadian Rhythms, 4, 1. (8)

Lai, C. S. L., Fisher, S. E., Hurst, J. A., Vargha- Khadem, F., & Monaco, A. P. (2001). A fork- head-domain gene is mutated in a severe speech and language disorder. Nature, 413, 519–523. (13)

Lake, R. I. E., Eaves, L. J., Maes, H. H. M., Heath, A. C., & Martin, N. G. (2000). Further evi- dence against the environmental transmis- sion of individual differences in neuroticism from a collaborative study of 45,850 twins and relatives on two continents. Behavior Genetics, 30, 223–233. (4)

Lakatos, P., Schroeder, C. E., Leitman, D. I., & Javitt, D. C. (2013). Predictive suppression of cortical excitability and its deficit in schizophrenia. Journal of Neuroscience, 33, 11692–11702. (14)

08202_ref_ptg01.indd 533 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

534 REFERENCES

Lambie, J. A., & Marcel, A. J. (2002). Consciousness and the varieties of emo- tion experience: A theoretical framework. Psychological Review, 109, 219–259. (13)

Lamminmäki, A., Hines, M., Kuiri-Hänninen, T., Kilpeläinen, L., Dunkel, L., & Sankilampi, U. (2012). Testosterone measured in infancy predicts subsequent sex-typed behavior in boys and girls. Hormones and Behavior, 61, 611–616. (10)

Land, E. H., Hubel, D. H., Livingstone, M. S., Perry, S. H., & Burns, M. M. (1983). Colour-generating interactions across the corpus callosum. Nature, 303, 616–618. (5)

Landis, D. M. D. (1987). Initial junctions between developing parallel fibers and Purkinje cells are different from mature synaptic junctions. Journal of Comparative Neurology, 260, 513–525. (2)

Lang, P. J. (2014). Emotion’s response patterns: The brain and the autonomic nervous sys- tem. Emotion Review, 6, 93–99. (11)

Långsjö, J. W., Alkire, M. T., Kaskinoro, K., Hayama, H., Maksimow, A., Kaisti, K. K.,  .  .  . Scheinin, H. (2012). Returning from oblivion: Imagining the neural core of con- sciousness. Journal of Neuroscience, 32, 4935–4943. (13)

Långström, N., Rahman, Q., Carlström, E., & Lichtenstein, P. (2010). Genetic and environ- mental effects on same-sex sexual behavior: A population study of twins in Sweden. Archives of Sexual Behavior, 39, 75–80. (10)

Larsen, B., & Luna, B. (2015). In vivo evidence of neurophysiological maturation of the human adolescent striatum. Developmental Cognitive Neuroscience, 12, 74–85. (4)

Lashley, K. S. (1929). Brain mechanisms and intelligence. Chicago: University of Chicago Press. (12)

Lashley, K. S. (1930). Basic neural mechanisms in behavior. Psychological Review, 37, 1–24. (12)

Lashley, K. S. (1950). In search of the engram. Symposia of the Society for Experimental Biology, 4, 454–482. (12)

Latimer, K. W., Yates, J. L., Meister, M. L. R., Huk, A. C., & Pillow, J. W. (2015). Single- trial spike trains in parietal cortex reveal dis- crete steps during decision-making. Science, 349, 184–187. (13)

Lau, H. C., Rogers, R. D., Haggard, P., & Passingham, R. E. (2004). Attention to inten- tion. Science, 303, 1208–1210. (7)

Laurent, J.-P., Cespuglio, R., & Jouvet, M. (1974). Dèlimitation des voies ascendan- tes de l’activité ponto-géniculo-occipitale chez le chat [Demarcation of the ascend- ing paths of ponto-geniculo-occipital activity in the cat]. Brain Research, 65, 29–52. (8)

Lauterborn, J. C., Palmer, L. C., Jia, Y., Pham, D. T., Hou, B., Wang, W., . . . Lynch, G. (2016). Chronic ampakine treatments stimulate dendritic growth and promote learning in middle-aged rats. Journal of Neuroscience, 36, 1636–1646. (12)

Lavidor, M., & Walsh, V. (2004). The nature of foveal representation. Nature Reviews Neuroscience, 5, 729–735. (13)

Lavzin, M., Rapoport, S., Polsky, A., Garion, L., & Schiller, J. (2012). Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo. Nature, 490, 397–401. (2)

Leaver, A. M., & Rauschecker, J. P. (2016). Functional topography of human auditory cortex. Journal of Neuroscience, 36, 1416– 1428. (6)

Leber, A. B. (2010). Neural predictors of with- in-subject fluctuations in attentional con- trol. Journal of Neuroscience, 30, 11458– 11465. (13)

LeDoux, J. (1996). The emotional brain. New York: Simon & Schuster. (11)

Lee, B. K., & McGrath, J. J. (2015). Advancing parental age and autism: multifactorial path- ways. Trends in Molecular Medicine, 21, 118–125. (14)

Lee, P.-C., Bordelon, Y., Bronstein, J., & Ritz, B. (2012). Traumatic brain injury, paraquat exposure, and their relationship to Parkinson disease. Neurology, 79, 2061–2066. (7)

Lee, H. L., Devlin, J. T., Shakeshaft, C., Stewart, L. H., Brennan, A., Glensman, J., . . . Price, C. J. (2007). Anatomical traces of vocabulary acquisition in the adolescent brain. Journal of Neuroscience, 27, 1184–1189. (3)

Lee, K. M., Skoe, E., Kraus, N., & Ashley, R. (2009). Selective subcortical enhancement of musical intervals in musicians. Journal of Neuroscience, 29, 5832–5840. (4)

Lee, M. G., Hassani, O. K., & Jones, B. E. (2005). Discharge of identified orexin/hypocre- tin neurons across the sleep-waking cycle. Journal of Neuroscience, 25, 6716–6720. (8)

Lee, Y., Morrison, B. M., Li, Y., Lengacher, S., Farah, M. H.,  .  .  .  Rothstein, J. D. (2012). Oligodendroglia metabolically support axons and contribute to neurodegeneration. Nature, 487, 443–448. (1)

Lee, Y.-J., Lee, S., Chang, M., & Kwak, H.-W. (2015). Saccadic movement deficien- cies in adults with ADHD tendencies. ADHD Attention Deficit and Hyperactivity Disorders, 7, 271–280. (7)

Legrand, L. N., Iacono, W. G., & McGue, M. (2005, March/April). Predicting addiction. American Scientist, 93, 140–147. (14)

Lehky, S. R. (2000). Deficits in visual fea- ture binding under isoluminant conditions. Journal of Cognitive Neuroscience, 12, 383– 392. (3)

Lehrman, D. S. (1964). The reproductive behavior of ring doves. Scientific American, 211(5), 48–54. (10)

Lehrer, J. (2009). Small, furry  .  .  .  and smart. Nature, 461, 862–864. (12)

Leibniz, G. (1989). The Principles of Nature and Grace, Based on Reason. Dordrecht, Netherlands: Kluwer Publishers. (Original work published 1714) (0)

Leibowitz, S. F., & Alexander, J. T. (1991). Analysis of neuropeptide Y-induced feeding:

Dissociation of Y1 and Y2 receptor effects on natural meal patterns. Peptides, 12, 1251–1260. (9)

Leibowitz, S. F., & Hoebel, B. G. (1998). Behavioral neuroscience of obesity. In G. A. Bray, C. Bouchard, & P. T. James (Eds.), Handbook of obesity (pp. 313–358). New York: Dekker. (9)

Lein, E. S., & Shatz, C. J. (2001). Neurotrophins and refinement of visual circuitry. In W. M. Cowan, T. C. Südhof, & C. F. Stevens (Eds.), Synapses (pp. 613–649). Baltimore: Johns Hopkins University Press. (5)

Leinders-Zufall, T., Lane, A. P., Puche, A. C., Ma, W., Novotny, M. V., Shipley, M. T., & Zufall, F. (2000). Ultrasensitive pheromone detection by mammalian vomeronasal neu- rons. Nature, 405, 792–796. (6)

Lelieveld, S. H., Reijnders, M. R. F., Pfundt, R., Yntema, H. G., Kamsteeg, E.-J., de Vries, P.,  .  .  .  Gilissen, C. (2016). Meta-analysis of 2,104 trios provides support for 10 new genes for intellectual disability. Nature Neuroscience, 19, 1194–1196. (12)

Lemos, B., Araripe, L. O., & Hartl, D. L. (2008). Polymorphic Y chromosomes harbor cryp- tic variation with manifold functional con- sequences. Science, 319, 91–93. (10)

Lenggenhager, B., Tadi, T., Metzinger, T., & Blanke, O. (2007). Video ergo sum: Manipulating bodily self-consciousness. Science, 317, 1096–1099. (3)

Lenhart, R. E., & Katkin, E. S. (1986). Psychophysiological evidence for cerebral laterality effects in a high-risk sample of stu- dents with subsyndromal bipolar depressive disorder. American Journal of Psychiatry, 143, 602–607. (14)

Lenz, F. A., & Byl, N. N. (1999). Reorganization in the cutaneous core of the human thalamic principal somatic sensory nucleus (ventral caudal) in patients with dystonia. Journal of Neurophysiology, 82, 3204–3212. (4)

Lenz, K. M., Nugent, B. M., Haliyur, R., & McCarthy, M. M. (2013). Microglia are essential to masculinization of brain and behavior. Journal of Neuroscience, 33, 2761–2772. (10)

Leon, L. R. (2002). Invited review: Cytokine reg- ulation of fever: Studies using gene knock- out mice. Journal of Applied Physiology, 92, 2648–2655. (9)

Leppämäki, S., Partonen, T., & Lönnqvist, J. (2002). Bright-light exposure com- bined with physical exercise elevates mood. Journal of Affective Disorders, 72, 572–575. (14)

Lesku, J. A., Rattenborg, N. C., Valcu, M., Vyssotski, A. L., Kuhn, S., Kuemmeth, F.,  .  .  .  Kempenaers, B. (2012). Adaptive sleep loss in polygynous pectoral sandpip- ers. Science, 337, 1654–1658. (8)

LeVay, S. (1991). A difference in hypothalamic structure between heterosexual and homo- sexual men. Science, 253, 1034–1037. (10)

LeVay, S. (1993). The sexual brain. Cambridge, MA: MIT Press. (10)

08202_ref_ptg01.indd 534 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 535

Levi-Montalcini, R. (1987). The nerve growth factor 35 years later. Science, 237, 1154–1162. (4)

Levi-Montalcini, R. (1988). In praise of imper- fection. New York: Basic Books. (4)

Levin, E. D., & Rose, J. E. (1995). Acute and chronic nicotine interactions with dopa- mine systems and working memory perfor- mance. Annals of the New York Academy of Sciences, 757, 245–252. (2)

Levine, J. D., Fields, H. L., & Basbaum, A. I. (1993). Peptides and the primary affer- ent nociceptor. Journal of Neuroscience, 13, 2273–2286. (2)

Levitin, D. J., & Bellugi, U. (1998). Musical abil- ities in individuals with Williams syndrome. Music Perception, 15, 357–389. (13)

Lévy, F., Keller, M., & Poindron, P. (2004). Olfactory regulation of maternal behavior in mammals. Hormones and Behavior, 46, 284–302. (10)

Lewis, T. L., & Maurer, D. (2005). Multiple sensitive periods in human visual devel- opment: Evidence from visually deprived children. Developmental Psychobiology, 46, 163–183. (5)

Lewis, V. G., Money, J., & Epstein, R. (1968). Concordance of verbal and nonverbal abil- ity in the adrenogenital syndrome. Johns Hopkins Medical Journal, 122, 192–195. (10)

Li, G., Wang, L., Shi, F., Lyall, A. E., Lin, W., Gilmore, J. H., & Shen, D. (2014). Mapping longitudinal development of local cortical gyr- ification in infants from birth to 2 years of age. Journal of Neuroscience, 34, 4228–4238. (4)

Li, J., Chen, C., Wu, K., Zhang, M., Zhu, B., Chen, C., . . . Dong, Q. (2015). Genetic veria- tions in the serotonergic system contribute to amygdala volume in humans. Frontiers in Neuroanatomy, 9, article 129. (11)

Li, L., Wu, C., Gan, Y., Qu, X. G., & Lu, Z. X. (2016). Insomnia and the risk of depression: A meta-analysis of prospective cohort stud- ies. BMC Psychiatry, 16, article 375. (14)

Li, Q., Hill, Z., & He, B. J. (2014). Spatiotemporal dissociation of brain activity underlying subjective awareness, objective performance and confidence. Journal of Neuroscience, 34, 4382–4395. (13)

Li, S. L., Jost, R. M., Morale, S. E., Stager, D. R., Dao, L., Stager, D., & Birch, E. E. (2014). A binocular iPad treatment for amblyopic children. Eye, 28, 1246–1253. (5)

Li, S., Nie, E. H., Yin, Y., Benowitz, L. I., Tung, S., Vinters, H. V.,  .  .  .  Carmichael, S. T. (2015). GDF10 is a signal for axonal sprout- ing and functional recovery after a stroke. Nature Neuroscience, 18, 1737–1745. (4)

Li, W., Englund, E., Widner, H., Mattsson, B., van Westen, D., Lätt, J.,  .  .  . Li, J.-Y. (2016). Extensive graft-derived dopaminergic inner- vation is maintained 24 years after trans- plantation in the degenerating parkinsonian brain. Proceedings of the National Academy of Sciences (U.S.A.), 113, 6544–6549. (7)

Li, X., Li, W., Liu, G., Shen, X., & Tang, Y. (2015). Association between cigarette

smoking and Parkinson’s disease: A meta- analysis. Archives of Gerontology and Geriatrics, 61, 510–516. (7)

Liberles, S. D., & Buck, L. B. (2006). A sec- ond class of chemosensory receptors in the olfactory epithelium. Nature, 442, 645–650. (6)

Libet, B., Gleason, C. A., Wright, E. W., & Pearl, D. K. (1983). Time of conscious inten- tion to act in relation to onset of cerebral activities (readiness potential): The uncon- scious initiation of a freely voluntary act. Brain, 106, 623–642. (7)

Liebman, M., Pelican, S., Moore, S. A., Holmes, B., Wardlaw, M. K., Melcher, L. M.,  .  .  .  Haynes, G. W. (2006). Dietary intake-, eating behavior-, and physical activ- ity-related determinants of high body mass index in the 2003 Wellness IN the Rockies cross-sectional study. Nutrition Research, 26, 111–117. (9)

Lim, A. S. P., Ellison, B. A., Wang, J. L., Yu, L., Schneider, J. A., Buchman, A. S.,  .  .  . Saper, C. B. (2014). Sleep is related to neuron numbers in the ventrolateral preoptic/inter- mediate nucleus in older adults with and without Alzheimer’s disease. Brain, 137, 2847–2861. (8)

Lim, B. K., Huang, K. W., Grueter, B. A., Rothwell, P. E., & Malenka, R. C. (2012). Anhedonia requires MC4R-mediated syn- aptic adaptations in nucleus accumbens. Nature, 487, 183–189. (11)

Lim, J.-H. A., Stafford, B. K., Nguyen, P. L., Lien, B. V., Wang, C., Zukor, K., . . . Huberman, A. D. (2016). Neural activity promotes long- distance, target-specific regeneration of adult retinal axons. Nature Neuroscience, 19, 1073–1084. (4)

Lim, M. M., Wang, Z., Olazábal, D. E., Ren, X., Terwilliger, E. F., & Young, L. J. (2004). Enhanced partner preference in a promiscu- ous species by manipulating the expression of a single gene. Nature, 429, 754–757. (10)

Lin, D. Y., Shea, S. D., & Katz, L. C. (2006). Representation of natural stimuli in the rodent main olfactory bulb. Neuron, 50, 937–949. (6)

Lin, J.-S., Hou, Y., Sakai, K., & Jouvet, M. (1996). Histaminergic descending inputs to the mesopontine tegmentum and their role in the control of cortical activation and wake- fulness in the cat. Journal of Neuroscience, 16, 1523–1537. (8)

Lin, L., Faraco, J., Li, R., Kadotani, H., Rogers, W., Lin, X., . . . Mignot, E. (1999). The sleep disorder canine narcolepsy is caused by a mutation in the hypocretin (orexin) receptor 2 gene. Cell, 98, 365–376. (8)

Lindberg, N. O., Coburn, C., & Stricker, E. M. (1984). Increased feeding by rats after subdiabetogenic streptozotocin treatment: A role for insulin in satiety. Behavioral Neuroscience, 98, 138–145. (9)

Lindgren, L., Bergdahl, J., & Nyberg, L. (2016). Longitudinal evidence for smaller hippo- campus volume as a vulnerability factor

for perceived stress. Cerebral Cortex, 26, 3527–3533. (11)

Lindner, A., Iyer, A., Kagan, I., & Andersen, R. A. (2010). Human posterior parietal cor- tex plans where to reach and what to avoid. Journal of Neuroscience, 30, 11715–11725. (7)

Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012). The brain basis of emotion: A meta-analytic review. Behavioral and Brain Sciences, 35, 121–202. (11)

Lindsay, P. H., & Norman, D. A. (1972). Human information processing. New York: Academic Press. (6)

Ling, S., Pratte, M. S., & Tong, F. (2015). Attention alters orientation processing in the human lateral geniculate nucleus. Nature Neuroscience, 18, 496–498. (5)

Liou, Y.-C., Tocilj, A., Davies, P. L., & Jia, Z. (2000). Mimicry of ice structure by surface hydroxyls and water of a beta-helix anti- freeze protein. Nature, 406, 322–324. (9)

Lisman, J., Schulman, H., & Cline, H. (2002). The molecular basis of CaMKII function in synaptic and behavioural memory. Nature Reviews Neuroscience, 3, 175–190. (12)

Lisman, J., Yasuda, R., & Raghavachari, S. (2012). Mechanisms of CaMKII action in long-term potentiation. Nature Reviews Neuroscience, 13, 169–182. (12)

Lisman, J. E., Raghavachari, S., & Tsien, R. W. (2007). The sequence of events that underlie quantal transmission at central glutamater- gic synapses. Nature Reviews Neuroscience, 8, 597–609. (2)

Liu, F., Wollstein, A., Hysi, P. G., Ankra-Badu, G. A., Spector, T. D., Park, D, . . . Kayser, M. (2010). Digital quantification of human eye color highlights genetic association of three new loci. PLoS Genetics, 6, e1000934. (4)

Liu, G., & Tsien, R. W. (1995). Properties of synaptic transmission at single hip- pocampal synaptic boutons. Nature, 375, 404–408. (2)

Liu, L., She, L., Chen, M., Liu, T., Lu, H. D., Dan, Y., & Poo, M. (2016). Spatial structure of neuronal receptive field in awake monkey secondary visual cortex (V2). Proceedings of the National Academy of Sciences (U.S.A.), 113, 1913–1918. (5)

Liu, P., & Bilkey, D. K. (2001). The effect of excitotoxic lesions centered on the hippo- campus or perirhinal cortex in object recog- nition and spatial memory tasks. Behavioral Neuroscience, 115, 94–111. (12)

Liu, S., Globa, A. K., Mills, F., Naef, L., Qiao, M., Bamji, S. X., & Borgland, S. L. (2016). Consumption of palatable food primes food approach behavior by rapidly increasing synaptic density in the VTA. Proceedings of the National Academy of Sciences (U.S.A.), 113, 2520–2525. (9)

Liu, X., Zwiebel, L. J., Hinton, D., Benzer, S., Hall, J. C., & Rosbash, M. (1992). The period gene encodes a predominantly nucle- ar protein in adult Drosophila. Journal of Neuroscience, 12, 2735–2744. (8)

08202_ref_ptg01.indd 535 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

536 REFERENCES

Liu, Y., Samad, O. A., Zhang, L., Duan, B., Tong, Q., Lopes, C.,  .  .  .  Ma, Q. (2010). VGLUT2-dependent glutamate release from nociceptors is required to sense pain and suppress itch. Neuron, 68, 543–556. (6)

Liu, Z.-W., Faraguna, U., Cirelli, C., Tononi, G., & Gao, X.-B. (2010). Direct evidence for wake- related increases and sleep-related decreases in synaptic strength in rodent cortex. Journal of Neuroscience, 30, 8671–8675. (8)

Livingstone, M. S. (1988, January). Art, illusion and the visual system. Scientific American, 258(1), 78–85. (5)

Livingstone, M. S., & Hubel, D. (1988). Segregation of form, color, movement, and depth: Anatomy, physiology, and percep- tion. Science, 240, 740–749. (5)

Loe, I. M., Feldman, H. M., Yasui, E., & Luna, B. (2009). Oculomotor performance identifies underlying cognitive deficits in attention- deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 48, 431–440. (7)

Loehlin, J. C., Horn, J. M., & Willerman, L. (1989). Modeling IQ change: Evidence from the Texas adoption project. Child Development, 60, 993–1004. (12)

Loewenstein, W. R. (1960, August). Biological transducers. Scientific American, 203(2), 98–108. (6)

Loewi, O. (1960). An autobiographic sketch. Perspectives in Biology, 4, 3–25. (2)

Lohse, M., Garrido, L., Driver, J., Dolan, R. J., Duchaine, B. C., & Furl, N. (2016). Effective connectivity from early visual cortex to pos- terior occipitotemporal face areas supports face selectivity and predicts developmental prosopagnosia. Journal of Neuroscience, 36, 3821–3828. (5)

Loman, M. M., Johnson, A. E., Westerlund, A., Pollak, S. D., Nelson, C. A., & Gunnar, M. R. (2013). The effect of early deprivation on executive attention in middle childhood. Journal of Child Psychology and Psychiatry, 54, 37–45. (4)

Lomber, S. G., & Malhotra, S. (2008). Double dissociation of “what” and “where” process- ing in auditory cortex. Nature Neuroscience, 11, 609–617. (6)

Lomniczi, A., Loche, A., Castellano, J. M., Ronnekleiv, O. K., Bosch, M., Kaidar, G.,  .  .  . Ojeda, S. R. (2013). Epigenetic con- trol of female puberty. Nature Neuroscience, 16, 281–289. (4)

Long, M. A., Jutras, M. J., Connors, B. W., & Burwell, R. D. (2005). Electrical synapses coordinate activity in the suprachiasmatic nucleus. Nature Neuroscience, 8, 61–66. (8)

Long, M. A., Katlowitz, K. A., Svirsky, M. A., Clary, R. C., Byun, T. M., Majaj, N., . . . Greenlee, J. D. W. (2016). Functional segregation of cortical regions underlying speech timing and articulation. Neuron, 89, 1187–1193. (13)

Lorincz, A., & Nusser, Z. (2010). Molecular identity of dendritic voltage-gated sodium channels. Science, 328, 906–909. (1)

Lorrain, D. S., Riolo, J. V., Matuszewich, L., & Hull, E. M. (1999). Lateral hypothalamic serotonin inhibits nucleus accumbens dopa- mine: Implications for sexual refractoriness. Journal of Neuroscience, 19, 7648–7652. (14)

Lorusso, M. L., Facoetti, A., Pesenti, S., Cattaneo, C., Molteni, M., & Geiger, G. (2004). Wider recognition in peripheral vision common to different subtypes of dys- lexia. Vision Research, 44, 2413–2424. (13)

Lott, I. T. (1982). Down’s syndrome, aging, and Alzheimer’s disease: A clinical review. Annals of the New York Academy of Sciences, 396, 15–27. (12)

Lotto, R. B., & Purves, D. (2002). The empirical basis of color perception. Consciousness and Cognition, 11, 609–629. (5)

Lotze, M., Grodd, W., Birbaumer, N., Erb, M., Huse, E., & Flor, H. (1999). Does use of a myoelectric prosthesis prevent cortical reor- ganization and phantom limb pain? Nature Neuroscience, 2, 501–502. (4)

Loui, P., Alsop, D., & Schlaug, G. (2009). Tone deafness: A new disconnection syndrome? Journal of Neuroscience, 29, 10215–10220. (6)

Löw, A., Weymar, M., & Hamm, A. O. (2015). When threat is near, get out of here: Dynamics of defensive behavior during freezing and active avoidance. Psychological Science, 26, 1706–1716. (11)

Lucas, R. J., Douglas, R. H., & Foster, R. G. (2001). Characterization of an ocular photopigment capable of driving pupillary constriction in mice. Nature Neuroscience, 4, 621–626. (8)

Lucas, R. J., Freedman, M. S., Muñoz, M., Garcia-Fernández, J.-M., & Foster, R. G. (1999). Regulation of the mammalian pineal by non-rod, non-cone ocular photorecep- tors. Science, 284, 505–507. (8)

Luczak, S. E., Glatt, S. J., & Wall, T. L. (2006). Meta-analysis of ALDHx and ADHIB with alcohol dependence in Asians. Psychological Bulletin, 132, 607–621. (14)

Luczak, A., McNaughton, B. L., & Harris, K. D. (2015). Packet-based communication in the cortex. Nature Reviews Neuroscience, 16, 745–755. (3)

Luders, E., Gaser, C., Narr, K. L., & Toga, A. W. (2009). Why sex matters: Brain size inde- pendent differences in gray matter distribu- tions between men and women. Journal of Neuroscience, 29, 14265–14270. (10)

Luders, E., Narr, K. I., Thompson, P. M., Rex, D. E., Jancke, L., Steinmetz, H., & Toga, A. W. (2004). Gender differences in cor- tical complexity. Nature Neuroscience, 7, 799–800. (12)

Ludwig, M., & Leng, G. (2006). Dendritic peptides release and peptide-dependent behaviours. Nature Reviews Neuroscience, 7, 126–136. (2)

Lumley, A. J., Michalczyk, L., Kitson, J. J. N., Spurgin, L. G., Morrison, C. A., Godwin, J. L., . . . Gage, M. J. G. (2015). Sexual selection protects against extinction. Nature, 522, 470–473. (10)

Luna, B., Padmanabhan, A., & O’Hearn, K. (2010). What has fMRI told us about the development of cognitive control through adolescence? Brain and Cognition, 72, 101–113. (4)

Lund, R. D., Lund, J. S., & Wise, R. P. (1974). The organization of the retinal projection to the dorsal lateral geniculate nucleus in pigmented and albino rats. Journal of Comparative Neurology, 158, 383–404. (5)

Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016). Gamma and beta bursts underlie working memory. Neuron, 90, 152–164. (12)

Lunnon, K., Smith, R., Hannon, E., De Jager, P. L., Srivastava, G., Volta, M., Troakes, C.,  .  .  . Mill, J. (2014). Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer’s disease. Nature Neuroscience, 17, 1164–1170. (12)

Lutz, B., Marsicano, G., Maldonado, R., & Hillard, C. J. (2015). The endocannabinoid system in guarding against fear, anxiety and stress. Nature Reviews Neuroscience, 16, 705–718. (2)

Lyamin, O. I., Kosenko, P. O., Lapierre, J. L., Mukhametov, L. M., & Siegel, J. (2008). Fur seals display a strong drive for bilateral slow-wave sleep while on land. Journal of Neuroscience, 28, 12614–12621. (8)

Lyamin, O., Pryaslova, J., Lance, V., & Siegel, J. (2005). Continuous activity in cetaceans after birth. Nature, 435, 1177. (8)

Lyman, C. P., O’Brien, R. C., Greene, G. C., & Papafrangos, E. D. (1981). Hibernation and longevity in the Turkish hamster Mesocricetus brandti. Science, 212, 668–670. (8)

Lynall, M.-E., Bassett, D. S., Kerwin, R., McKenna, P. J., Kitzbichler, M., Muller, U., & Bullmore, E. (2010). Functional connectiv- ity and brain networks in schizophrenia. Journal of Neuroscience, 30, 9477–9487. (14)

Lyons, M. J., Eisen, S. A., Goldberg, J., True, W., Lin, N., Meyer, J. M.,  .  .  .  Tsuang, M. T. (1998). A registry-based twin study of depression in men. Archives of General Psychiatry, 55, 468–472. (14)

Lyons, M. J., York, T. P., Franz, C. E., Grant, M. D., Eaves, L. J., Jacobson, K. C., . . . Kremen, W. S. (2009). Genes determine stability and the environment determines change in cog- nitive ability during 35 years of adulthood. Psychological Science, 20, 1146–1152. (12)

Ma, Y., Koyama, M. S., Milham, M. P., Castellanos, F. X., Quinn, B. T., Pardoe, H., . . . Blackmon, K. (2015). Cortical thick- ness abnormalities associated with dys- lexia, independent of remediation status. NeuroImage: Clinical, 7, 177–186. (13)

Macdonald, R. L., Weddle, M. G., & Gross, R. A. (1986). Benzodiazepine, beta-car- boline, and barbiturate actions on GABA responses. Advances in Biochemical Psychopharmacology, 41, 67–78. (11)

Macey, P. M., Henderson, L. A., Macey, K. E., Alger, J. R., Frysinger, R. C., Woo, M. A., . . . Harper, R. M. (2002). Brain morphol- ogy associated with obstructive sleep apnea.

08202_ref_ptg01.indd 536 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 537

American Journal of Respiratory & Critical Care Medicine, 166, 1382–1387. (8)

MacFarlane, J. G., Cleghorn, J. M., & Brown, G. M. (1985a, September). Circadian rhythms in chronic insomnia. Paper presented at the World Congress of Biological Psychiatry, Philadelphia. (8)

MacFarlane, J. G., Cleghorn, J. M., & Brown, G. M. (1985b). Melatonin and core tem- perature rhythms in chronic insomnia. In G. M. Brown & S. D. Wainwright (Eds.), The pineal gland: Endocrine aspects (pp. 301–306). New York: Pergamon Press. (8)

MacFarquhar, L. (2009, July 27). The kindest cut. The New Yorker, 85(22), 38–51. (4)

MacLean, P. D. (1949). Psychosomatic disease and the “visceral brain”: Recent developments bearing on the Papez theory of emotion. Psychosomatic Medicine, 11, 338–353. (11)

MacLusky, N. J., & Naftolin, F. (1981). Sexual differentiation of the central nervous sys- tem. Science, 211, 1294–1303. (10)

Macphail, E. M. (1985). Vertebrate intelli- gence: The null hypothesis. Philosophical Transactions of the Royal Society of London, B, 308, 37–51. (3)

Madsen, H. B., & Kim, J. H. (2016). Ontogeny of memory: An update on 40 years of work with infantile amnesia. Behavioural Brain Research, 298, 4–14. (12)

Maffei, A., Nataraj, K., Nelson, S. B., & Turrigiano, G. G. (2006). Potentiation of cortical inhibition by visual deprivation. Nature, 443, 81–84. (5)

Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences, USA, 97, 4398–4403. (12)

Mahler, S. V., Moorman, D. E., Smith, R. J., James, M. H., & Aston-Jones, G. (2014). Motivational activation: A unifying hypoth- esis of orexin/hypocretin function. Nature Neuroscience, 17, 1298–1303. (9)

Manohar, S. G., & Husain, M. (2016). Human ventromedial prefrontal lesions alter incen- tivisation by reward. Cortex, 76, 104– 120. (13)

Maier, S. F., & Watkins, L. R. (1998). Cytokines for psychologists: Implications of bidirectional immune-to-brain commu- nication for understanding behavior, mood, and cognition. Psychological Review, 105, 83–107. (11)

Mainland, J. D., Keller, A., Li, Y. R., Zhou, T., Trimmer, C., Snyder, L. L.,  .  .  . Matsunami, H. (2014). The missense of smell: Functional variability in the human odorant receptor repertoire. Nature Neuroscience, 17, 114– 120. (6)

Malik, S., Vinukonda, G., Vose, L. R., Diamond, D., Bhimavarapu, B. B. R., Hu, F., . . . Ballabh, P. (2013). Neurogenesis continues in the third trimester of pregnancy and is sup- pressed by premature birth. Journal of Neuroscience, 33, 411–423. (4)

Mallis, M. M., & DeRoshia, C. W. (2005). Circadian rhythms, sleep, and performance in space. Aviation, Space, and Environmental Medicine, 76(Suppl. 6), B94–B107. (8)

Malmberg, A. B., Chen, C., Tonegawa, S., & Basbaum, A. I. (1997). Preserved acute pain and reduced neuropathic pain in mice lack- ing PKCg. Science, 278, 279–283. (6)

Man, K., Kaplan, J. T., Damasio, A., & Meyer, K. (2012). Sight and sound converge to form modality-invariant representations in tem- poroparietal cortex. Journal of Neuroscience, 32, 16629–16636. (3)

Mancuso, K., Hauswirth, W. W., Li, Q., Connor, T. B., Kuchenbecker, J. A., Mauck, M. C.,  .  .  .  Neitz, M. (2009). Gene therapy for red-green colour blindness. Nature, 461, 784–787. (5)

Mander, B. A., Marks, S. M., Vogel, J. W., Rao, V., Lu, B., Saletin, J. M.,  .  .  .  Walker, M. P. (2015). β-amyloid disrupts human NREM slow waves and related hippocampus- dependent memory consolidation. Nature Neuroscience, 18, 1051–1057. (8)

Mandy, W., & Lai, M.-C. (2016). Annual research review: The role of the environ- ment in the developmental psychopathology of autism spectrum condition. Journal of Child Psychology and Psychiatry, 57, 271–292. (14)

Mangan, M. A. (2004). A phenomenology of problematic sexual behavior. Archives of Sexual Behavior, 33, 287–293. (8)

Mangiapane, M. L., & Simpson, J. B. (1980). Subfornical organ: Forebrain site of pres- sor and dipsogenic action of angiotensin II. American Journal of Physiology, 239, R382–R389. (9)

Mann, J. J., Arango, V., & Underwood, M. D. (1990). Serotonin and suicidal behavior. Annals of the New York Academy of Sciences, 600, 476–485. (11)

Mann, T., Tomiyama, J., & Ward, A. (2015). Promoting public health in the context of the “obesity epidemic”: False starts and promising new directions. Perspectives on Psychological Science, 10, 706–710. (9)

Maquet, P., Laureys, S., Peigneux, P., Fuchs, S., Petiau, C., Phillips, C.,  .  .  .  Cleermans, A. (2000). Experience-dependent changes in cerebral activation during human REM sleep. Nature Neuroscience, 3, 831–836. (8)

Maquet, P., Peters, J.-M., Aerts, J., Delfiore, G., Degueldre, C., Luxen, A., & Franck, G. (1996). Functional neuroanatomy of human rapid-eye-movement sleep and dreaming. Nature, 383, 163–166. (7, 8)

Marcar, V. L., Zihl, J., & Cowey, A. (1997). Comparing the visual deficits of a motion blind patient with the visual defi- cits of monkeys with area MT removed. Neuropsychologia, 35, 1459–1465. (5)

March, S. M., Abate, P., Spear, N. E., & Molina, J. C. (2009). Fetal exposure to moderate ethanol doses: Heightened operant respon- siveness elicited by ethanol-related reinforc- ers. Alcoholism: Clinical and Experimental Research, 33, 1981–1993. (14)

Marek, R., Strobel, C., Bredy, T. W., & Sah, P. (2013). Partners in the fear circuit. Journal of Physiology, 591, 2381–2391. (11)

Maret, S., Faraguna, U., Nelson, A. B., Cirelli, C., & Tononi, G. (2011). Sleep and waking modulate spine turnover in the adolescent mouse cortex. Nature Neuroscience, 14, 1418–1420. (8)

Mariño, G., Fernández, A. F., Cabrera, S., Lundberg, Y. W., Cabanillas, R., Rodríguez, F., & Lopez-Otin, C. (2010). Autophagy is essential for mouse sense of balance. Journal of Clinical Investigation, 120, 2331–2344. (6)

Mark, A. L. (2013). Selective leptin resistance revisited. American Journal of Physiology: Regulatory, Integrative, and Comparative Physiology, 305, R566–R581. (9)

Marlatt, M. W., Potter, M. C., Lucassen, P. J., & van Praag, H. (2012). Running throughout middle-age improves memory function, hip- pocampal neurogenesis, and BDNF levels in female C57B1/6J mice. Developmental Neurobiology, 72(S1), 943–952. (4)

Marlin, B. J., Mitre, M., D’amour, J. A., Chao, M. V., & Froemke, R. C. (2015). Oxytocin enables maternal behaviour by balancing cortical inhi- bition. Nature, 520, 499–504. (13)

Marquié, J.-C., Tucker, P., Folkard, S., Gentil, C., & Ansiau, D. (2015). Chronic effects of shift work on cognition: Findings from the VISAT longitudinal study. Occupational and Environmental Medicine, 72, 258–264. (8)

Marris, E. (2006). Grey matters. Nature, 444, 808–810. (0)

Marshall, J. C., & Halligan, P. W. (1995). Seeing the forest but only half the trees? Nature, 373, 521–523. (13)

Marshall, J. F. (1985). Neural plasticity and recovery of function after brain injury. International Review of Neurobiology, 26, 201–247. (4)

Marsman, A., van den Heuvel, M. P., Klomp, D. W. J., Kahn, R. S., Luijten, P. R., & Pol, H. E. H. (2013). Glutamate in schizophrenia: A focused review and meta-analysis of H-1-MRS studies. Schizophrenia Bulletin, 39, 120–129. (14)

Martens, M. A., Wilson, S. J., & Reutens, D. C. (2008). Research review: Williams syndrome: A critical review of the cogni- tive, behavioral, and neuroanatomical phe- notype. Journal of Child Psychology and Psychiatry, 49, 576–608. (13)

Martin, A., & Olson, K. R. (2015). Beyond good and evil: What motivations underlie children’s prosocial behavior? Perspectives on Psychological Science, 10, 159–175. (4)

Martin, G., Rojas, L. M., Ramírez, Y., & McNeil, R. (2004). The eyes of oilbirds (Steatornis caripensis): Pushing at the limits of sensitiv- ity. Naturwissenschaften, 91, 26–29. (5)

Martin, P. R., Lee, B. B., White, A. J. R., Solomon, S. G., & Rütiger, L. (2001). Chromatic sensitivity of ganglion cells in the peripheral primate retina. Nature, 410, 933–936. (5)

Martín, R., Bajo-Grañeras, R., Moratalla, R., Perea, G., & Araque, A. (2015).

08202_ref_ptg01.indd 537 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

538 REFERENCES

Circuit-specific signaling in astrocyte-neu- ron networks in basal ganglia pathways. Science, 349, 730–734. (1)

Martin, R. C., & Blossom-Stach, C. (1986). Evidence of syntactic deficits in a fluent apha- sic. Brain and Language, 28, 196–234. (13)

Martin, S. D., Martin, E., Rai, S. S., Richardson, M. A., Royall, R., & Eng, C. (2001). Brain blood flow changes in depressed patients treated with interpersonal psychotherapy or venlafaxine hydrochloride. Archives of General Psychiatry, 58, 641–648. (14)

Martindale, C. (2001). Oscillations and anal- ogies: Thomas Young, MD, FRS, genius. American Psychologist, 56, 342–345. (5)

Martínez-Horta, S., Perez-Perez, J., van Duijn, E., Fernandez-Bobadilla, R., Carceller, M., Pagonabarrage, J.,  .  .  .  Kulisevsky, J. (2016). Neuropsychiatric symptoms are very common in premanifest and early stage Huntington’s disease. Parkinsonism & Related Disorders, 25, 58–64. (7)

Martínez-Horta, S., Riba, J., de Bobadilla, R. F., Pagonabarraga, J., Pascual-Sedano, B., Antonijoan, R. M.,  .  .  .  Kulisevsky, J. (2014). Apathy in Parkinson’s dis- ease: Neurophysiological evidence of impaired incentive processing. Journal of Neuroscience, 34, 5918–5926. (7)

Martinez-Vargas, M. C., & Erickson, C. J. (1973). Some social and hormonal determi- nants of nest-building behaviour in the ring dove (Streptopelia risoria). Behaviour, 45, 12–37. (10)

Martinowich, K., Manji, H., & Lu, B. (2007). New insights into BDNF function in depres- sion and anxiety. Nature Neuroscience, 10, 1089–1093. (14)

Masal, E., Randler, C., Besoluk, S., Önder, I., Horzum, M. B., & Vollmer, C. (2015). Effects of longitude, latitude and social factors on chronotype in Turkish students. Personality and Individual Differences, 86, 73–81. (8)

Mascaro, J. S., Hackett, P. D., & Rilling, J. K. (2013). Testicular volume is inversely cor- related with nurturing-related brain activity in human fathers. Proceedings of the National Academy of Sciences, 110, 15746–15751. (10)

Masland, R. H. (2012). The tasks of amacrine cells. Visual Neuroscience, 29, 3–9. (5)

Masland, R. H. (2001). The fundamental plan of the retina. Nature Neuroscience, 4, 877–886. (5)

Maslen, H., Douglas, T., Cohen Kadosh, R., Levy, N., & Savulescu, J. (2014). The regu- lation of cognitive enhancement devices: Extending the medical model. Journal of Law and the Biosciences, 1, 68–93. (12)

Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007). Wandering minds: The default network and stimulus-independent thought. Science, 315, 393–395. (3)

Massimini, M., Ferrarelli, F., Huber, R., Esser, S. K., Singh, H., & Tononi, G. (2005). Breakdown of cortical effective connectivity during sleep. Science, 309, 2228–2232. (8)

Mathews, G. A., Fane, B. A., Conway, G. S., Brook, C. G. D., & Hines, M. (2009). Personality and congenital adrenal andro- gen exposure. Hormones and Behavior, 55, 285–291. (10)

Matrisciano, F., Bonaccorso, S., Ricciardi, A., Scaccianoce, S., Panaccione, I., Wang, L.,  .  .  .  Shelton, R. C. (2008). Changes in BDNF serum levels in patients with major depression disorder (MDD) after 6 months treatment with sertraline, escitalopram, or venlafaxine. Journal of Psychiatric Research, 43, 247–254. (14)

Matson, J. L., Adams, H. L., Williams, L. W., & Rieske, R. D. (2013). Why are there so many unsubstantiated treatments in autism? Research in Autism Spectrum Disorders, 7, 466–474. (14)

Matsumoto, Y., Mishima, K., Satoh, K., Tozawa, T., Mishima, Y., Shimizu, T., & Hishikawa, Y. (2001). Total sleep deprivation induces an acute and transient increase in NK cell activity in healthy young volunteers. Sleep, 24, 804–809. (8)

Matsunami, H., Montmayeur, J.-P., & Buck, L. B. (2000). A family of candidate taste recep- tors in human and mouse. Nature, 404, 601–604. (6)

Mattavelli, G., Sormaz, M., Flack, T., Asghar, A. V. R., Fan, S., Frey, J., . . . Andrews, T. J. (2014). Neural responses to facial expres- sions support the role of the amygdala in processing threat. Social Cognitive and Affective Neuroscience, 9, 1684–1689. (11)

Mattingley, J. B., Husain, M., Rorden, C., Kennard, C., & Driver, J. (1998). Motor role of human inferior parietal lobe revealed in unilateral neglect patients. Nature, 392, 179–182. (13)

Matuszewich, L., Lorrain, D. S., & Hull, E. M. (2000). Dopamine release in the medial preoptic area of female rats in response to hormonal manipulation and sexual activity. Behavioral Neuroscience, 114, 772–782. (10)

Maurice, D. M. (1998). The Von Sallmann lecture of 1996: An ophthalmological expla- nation of REM sleep. Experimental Eye Research, 66, 139–145. (8)

May, P. R. A., Fuster, J. M., Haber, J., & Hirschman, A. (1979). Woodpecker drilling behavior: An endorsement of the rotational theory of impact brain injury. Archives of Neurology, 36, 370–373. (4)

Maya Vetencourt, J. F., Sale, A., Viegi, A., Baroncelli, L., DePasquale, R., O’Leary, O. F., . . . Maffei, L. (2008). The antidepressant fluoxetine restores plasticity in the adult visual cortex. Science, 320, 385–388. (14)

Mayberry, R. I., Lock, E., & Kazmi, H. (2002). Linguistic ability and early language expo- sure. Nature, 417, 38. (13)

Mayer, A. D., & Rosenblatt, J. S. (1979). Hormonal influences during the ontogeny of maternal behavior in female rats. Journal of Comparative and Physiological Psychology, 93, 879–898. (10)

Mazur, A., & Michalek, J. (1998). Marriage, divorce, and male testosterone. Social Forces, 77, 315–330. (10)

Mazza, S., Gerber, E., Gustin, M.-P., Kasikci, Z., Koenig, O., Toppino, T. C., & Magnin, M. (2016). Relearn faster and retain longer: Along with practice, sleep makes perfect. Psychological Science, 27, 1321–1330. (8)

McBride, C. S., Baier, F., Omondi, A. B., Spitzer, S. A., Lutomiah, J., Sang, R., . . . Vosshall, L. B. (2014). Evolution of mosquito preference for humans linked to an odorant receptor. Nature, 515, 222–227. (6)

McBurney, D. H., & Bartoshuk, L. M. (1973). Interactions between stimuli with different taste qualities. Physiology & Behavior, 10, 1101–1106. (6)

McCall, C., & Singer, T. (2012). The animal and human neuroendocrinology of social cognition, motivation and behavior. Nature Neuroscience, 15, 681–688. (13)

McCarley, R. W., & Hoffman, E. (1981). REM sleep, dreams, and the activation-synthesis hypothesis. American Journal of Psychiatry, 138, 904–912. (8)

McCarthy, M. M. (2010). How it’s made: Organizational effects of hormones on the developing brain. Journal of Neuroendocrinology, 22, 736–742. (10)

McCarthy, M. M. (2016). Multifaceted origins of sex differences in the brain. Philosophical Transactions of the Royal Society B, 371, article number 20150106. (10)

McCarthy, M. M., & Arnold, A. P. (2011). Reframing sexual differentiation of the brain. Nature Neuroscience, 14, 677–683. (10)

McClintock, M. K. (1971). Menstrual syn- chrony and suppression. Nature, 229, 244–245. (6)

McConnell, J. V. (1962). Memory transfer through cannibalism in planarians. Journal of Neuropsychiatry, 3(Suppl. 1), 42–48. (12)

McConnell, S. K. (1992). The genesis of neuro- nal diversity during development of cerebral cortex. Seminars in the Neurosciences, 4, 347–356. (4)

McDermott, R., Dawes, C., Prom-Wormley, E., Eaves, L., & Hatemi, P. K. (2013). MAOS and aggression: A gene-environment interac- tion in two populations. Journal of Conflict Resolution, 57, 1043–1064. (11)

McDonald, M. J., Rice, D. P., & Desai, M. M. (2016). Sex speeds adaptation by altering the dynamics of molecular evolution. Nature, 531, 233–236. (10)

McEwen, B. S. (2000). The neurobiology of stress: From serendipity to clinical rele- vance. Brain Research, 886, 172–189. (9, 11)

McGorry, P. D., Nelson, B., & Markulev, C. (2017). Effect of omega-3 polysaturated fatty acids in young people at ultrahigh risk for psychotic disorders. JAMA Psychiatry, 74, 19–27. (14)

McGue, M., & Bouchard, T. J., Jr. (1998). Genetic and environmental influences on human behavioral differences. Annual Review of Neuroscience, 21, 1–24. (12)

08202_ref_ptg01.indd 538 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 539

McGue, M., Malone, S., Keyes, M., & Iacono, W. G. (2014). Parent-offspring similarity for drinking: A longitudinal adoption study. Behavior Genetics, 44, 620–628. (14)

McGuire, S., & Clifford, J. (2000). Genetic and environmental contributions to loneli- ness in children. Psychological Science, 11, 487–491. (4)

McHugh, P. R., & Moran, T. H. (1985). The stomach: A conception of its dynamic role in satiety. Progress in Psychobiology and Physiological Psychology, 11, 197–232. (9)

McIntyre, M., Gangestad, S. W., Gray, P. B., Chapman, J. F., Burnham, T. C., O’Rourke, M. T., & Thornhill, R. (2006). Romantic involvement often reduces men’s testoster- one levels—but not always: The moderating effect of extrapair sexual interest. Journal of Personality and Social Psychology, 91, 642–651. (10)

McIntyre, R. S., Konarski, J. Z., Wilkins, K., Soczynska, J. K., & Kennedy, S. H. (2006). Obesity in bipolar disorder and major depressive disorder: Results from a National Community Health Survey on Mental Health and Well-Being. Canadian Journal of Psychiatry, 51, 274–280. (9)

McKeever, W. F., Seitz, K. S., Krutsch, A. J., & Van Eys, P. L. (1995). On language laterality in normal dextrals and sinistrals: Results from the bilateral object naming latency task. Neuropsychologia, 33, 1627–1635. (13)

McKemy, D. D., Neuhausser, W. M., & Julius, D. (2002). Identification of a cold receptor reveals a general role for TRP channels in thermosensation. Nature, 416, 52–58. (6)

McKenzie, I. A., Ohayon, D., Li, H., Paes de Faria, J., Emery, B., Tohyama, K., & Richardson, W. D. (2014). Motor skill learn- ing requires active central myelination. Science, 346, 318–322. (4)

McKinnon, W., Weisse, C. S., Reynolds, C. P., Bowles, C. A., & Baum, A. (1989). Chronic stress, leukocyte-subpopulations, and humoral response to latent viruses. Health Psychology, 8, 839–402. (11)

McMillan, K. A., Asmundson, G. J. G., Zvolensky, M. J., & Carleton, R. N. (2012). Startle response and anxiety sensitivity: Subcortical indices of physiologic arousal and fear responding. Emotion, 12, 1264– 1272. (11)

McNay, E. (2014). Your brain on insulin: From heresy to dogma. Perspectives on Psychological Science, 9, 88–90. (1)

Meddis, R., Pearson, A. J. D., & Langford, G. (1973). An extreme case of healthy insom- nia. EEG and Clinical Neurophysiology, 35, 213–214. (8)

Mednick, S. C., McDevitt, E. A., Walsh, J. K., Wamsley, E., Paulus, M., Kanady, J. C., & Drummond, S. P. A. (2013). The critical role of sleep spindles in hippocampal-dependent memory: A pharmacological study. Journal of Neuroscience, 13, 4494–4504. (8)

Mehta, P. H., Welker, K. M., Zilioli, S., & Carré, J. M. (2015). Testosterone and

cortisol jointly modulate risk-taking. Psychoneuroendocrinology, 56, 88–99. (11)

Meier, M. H., Shaler, I., Moffitt, T. E., Kapur, S., Keefe, R. S. E., Wong, T. Y., .  .  . Poulton, R. (2013). Microvascular abnormality in schizophrenia as shown by retinal imag- ing. American Journal of Psychiatry, 170, 1451–1459. (14)

Meister, M., Wong, R. O. L., Baylor, D. A., & Shatz, C. J. (1991). Synchronous bursts of action potentials in ganglion cells of the developing mammalian retina. Science, 252, 939–943. (4)

Melby-Lervåg, M., Redick, T. S., & Hulme, C. (2016). Working memory training does not improve performance on measures of intelligence or other measures of “far trans- fer”: Evidence from a meta-analytic review. Perspectives on Psychological Science, 11, 512–534. (4)

Melis, A. P., Grocke, P., Kalbitz, J., & Tomasello, M. (2016). One for you, one for me: Humans’ unique turn-taking skills. Psychological Science, 27, 987–996. (12)

Melloni, L., Molina, C., Pena, M., Torres, D., Singer, W., & Rodriguez, E. (2007). Synchronization of neural activity across cortical areas correlates with conscious per- ception. Journal of Neuroscience, 27, 2858– 2865. (13)

Melone, M., Vitellaro-Zuccarello, L., Vallejo- Illarramendi, A., Pérez-Samartin, A., Matute, C., Cozzi, A.,  .  .  .  Conti, F. (2001). The expression of glutamate transporter GLT-1 in the rat cerebral cortex is down- regulated by the antipsychotic drug clozap- ine. Molecular Psychiatry, 6, 380–386. (14)

Meltzer, H. Y., Matsubara, S., & Lee, J.-C. (1989). Classification of typical and atypical antipsychotic drugs on the basis of dopa- mine D-1, D-2 and serotonin2 pKi values. Journal of Pharmacology and Experimental Therapeutics, 251, 238–246. (14)

Meltzoff, A. N., & Moore, M. K. (1977). Imitation of facial and manual gestures by human neonates. Science, 198, 75–78. (7)

Melzack, R., & Wall, P. D. (1965). Pain mechanisms: A new theory. Science, 150, 971–979. (6)

Méndez-Bértolo, C., Moratti, S., Toledano, R., Lopez-Sosa, F., Martínez-Alvarez, R., Mah, Y. H., . . . Strange, B. A. (2016). A fast pathway for fear in human amygdala. Nature Neuroscience, 19, 1041–1049. (11)

Mendieta-Zéron, H., López, M., & Diéguez, C. (2008). Gastrointestinal peptides con- trolling body weight homeostasis. General and Comparative Endocrinology, 155, 481–495. (9)

Mendle, J., Eisenlohr-Moul, T., & Kiesner, J. (2016). From menarche to menopause: Women’s reproductive milestones and risk for psychopathology—An introduction to the special series. Clinical Psychological Science, 4, 859–866. (14)

Mergen, M., Mergen, H., Ozata, M., Oner, R., & Oner, C. (2001). A novel melanocortin

4 receptor (MC4R) gene mutation associ- ated with morbid obesity. Journal of Clinical Endocrinology & Metabolism, 86, 3448– 3451. (9)

Merikangas, K. P., & Pato, M. (2009). Recent developments in the epidemiology of bipolar disorder in adults and children: Magnitude, correlates, and future directions. Clinical Psychology: Science and Practice, 16, 121–133. (14)

Mertens, J., Wang, Q.-W., Kim, Y., Yu, D. X., Pham, S., Yang, B.,  .  .  .  Yao, J. (2015). Differential responses to lithium in hyper- excitable neurons from patients with bipolar disorder. Nature, 527, 95–99. (14)

Merzenich, M. M., Nelson, R. J., Stryker, M. P., Cynader, M. S., Schoppman, A., & Zook, J. M. (1984). Somatosensory cortical map changes following digit amputation in adult monkeys. Journal of Comparative Neurology, 224, 591–605. (4)

Mesgarani, N., & Chang, E. F. (2013). Selective cortical representation of attended speaker in multi-talker speech perception. Nature, 485, 233–236. (6)

Meshi, D., Drew, M. R., Saxe, M., Ansorge, M. S., David, D., Santarelli, L.,  .  .  .  Hen, R. (2006). Hippocampal neurogenesis is not required for behavioral effects of environ- mental enrichment. Nature Neuroscience, 9, 729–731. (4)

Mesgarani, N., Cheung, C., Johnson, K., & Chang, E. F. (2014). Phonetic feature encod- ing in human superior temporal gyrus. Science, 343, 1006–1010. (6)

Metcalf, S. A., Jones, P. B., Nordstrom, T., Timonen, M., Maki, P., Miettunen, J.,  .  .  .  Khandaker, G. M. (2017). Serum C-reactive protein in adolescence and risk of schizophrenia in adulthood: A prospec- tive birth cohort study. Brain, Behavior, and Immunity, 59, 253–259. (14)

Mevorach, C., Hodsoll, J., Allen, H., Shalev, L., & Humphreys, G. (2010). Ignoring the ele- phant in the room: A neural circuit to down- regulate salience. Journal of Neuroscience, 30, 6072–6079. (13)

Meyer, B., Yuen, K. S. L., Ertl, M., Polomac, N., Mulert, C., Büchel, C., & Kalish, R. (2015). Neural mechanisms of placebo anxiolysis. Journal of Neuroscience, 35, 7365–7373. (6)

Meyer, K., Kaplan, J. T., Essex, R., Webber, C., Damasio, H., & Damasio, A. (2010). Predicting visual stimuli on the basis of activity in auditory cortices. Nature Neuroscience, 13, 667–671. (6)

Meyer-Bahlburg, H. F. L., Dalke, K. B., Berenbaum, S. A., Cohen-Kettenis, P. T., Hines, M., & Schober, J. M. (2016). Gender assignment, reassignment and outcome in disorders of sex development: Update of the 2005 Consensus Conference. Hormone Research in Paediatrics, 85, 112–118. (10)

Meyer-Bahlburg, H. F. L., Dolezal, C., Baker, S. W., & New, M. I. (2008). Sexual orientation in women with classical or non-classical con- genital adrenal hyperplasia as a function of

08202_ref_ptg01.indd 539 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

540 REFERENCES

degree of prenatal androgen excess. Archives of Sexual Behavior, 37, 85–99. (10)

Meyer-Lindenberg, A. (2010). From maps to mechanisms through neuroimaging of schizophrenia. Nature, 468, 194–202. (14)

Meyer-Lindenberg, A., Mervis, C. B., & Berman, K. F. (2006). Neural mechanisms in Williams syndrome: A unique window to genetic influences on cognition and behaviour. Nature Reviews Neuroscience, 7, 380–393. (13)

Mezzanotte, W. S., Tangel, D. J., & White, D. P. (1992). Waking genioglossal electro- myogram in sleep apnea patients versus normal controls (a neuromuscular com- pensatory mechanism). Journal of Clinical Investigation, 89, 1571–1579. (8)

Mihalcescu, I., Hsing, W., & Leibler, S. (2004). Resilient circadian oscillator revealed in individual cyanobacteria. Nature, 430, 81–85. (8)

Mika, A., Mazur, G. J., Hoffman, A. N., Talboom, J. S., Bimonte-Nelson, H. A., Sanabria, F., & Conrad, C. D. (2012). Chronic stress impairs prefrontal cortex-dependent response inhibi- tion and spatial working memory. Behavioral Neuroscience, 126, 605–619. (11)

Milich, R., & Pelham, W. E. (1986). Effects of sugar ingestion on the classroom and playgroup behavior of attention deficit dis- ordered boys. Journal of Consulting and Clinical Psychology, 54, 714–718. (9)

Millan, M. J. (2014). On “polypharmacy” and multi-target agents, complementary strate- gies for improving the treatment of depres- sion: A comparative appraisal. International Journal of Neuropsychopharmacology, 17, 1009–1037. (14)

Miller, C. A., Gavin, C. F., White, J. A., Parrish, R. R., Honasoge, A., Yancey, C. R.,  .  .  .  Sweatt, J. D. (2010). Cortical DNA methylation maintains remote memory. Nature Neuroscience, 13, 664–666. (12)

Miller, G. (2007a). Animal extremists get per- sonal. Science, 318, 1856–1585. (0)

Miller, G. A. (2010). Mistreating psychology in the decades of the brain. Perspectives on Psychological Science, 5, 716–743. (0, 13)

Miller, G., Tybur, J. M., & Jordan, B. D. (2007). Ovulatory cycle effects on tip earnings by lap dancers: Economic evidence for human estrus? Evolution and Human Behavior, 28, 375–381. (10)

Miller, I. N., Neargarder, S., Risi, M. M., & Cronin-Golomb, A. (2013). Frontal and posterior subtypes of neuropsychological deficit in Parkinson’s disease. Behavioral Neuroscience, 127, 175–183. (7)

Miller, J. C., & Krizan, Z. (2016). Walking facili- tates positive affect (even when expecting the opposite). Emotion, 16, 775–785. (14)

Miller, J. F., Neufang, M., Solway, A., Brandt, A., Trippel, M., Mader, I., . . . Schulze-Bonhage, A. (2013). Neural activity in human hip- pocampal formation reveals the spatial con- text of retrieved memories. Science, 342, 1111–1114. (13)

Miller, S. L., & Maner, J. K. (2010). Scent of a woman: Men’s testosterone responses to olfactory ovulation cues. Psychological Science, 21, 276–283. (6)

Milner, B. (1959). The memory defect in bilateral hippocampal lesions. Psychiatric Research Reports, 11, 43–58. (12)

Milner, A. D. (2012). Is visual processing in the dorsal stream accessible to consciousness? Proceedings of the Royal Society, B, 279, 2289–2298. (5)

Min, J., Chiu, D. T., & Wang, Y. (2013). Variation in the heritability of body mass index based on diverse twin studies: A systematic review. Obesity Reviews, 14, 871–882. (9)

Mineur, Y. S., Abizaid, A., Rao, Y., Salas, R., DiLeone, R. J., Gündisch, D.,  .  .  .  Picciotto, M. R. (2011). Nicotine decreases food intake through activation of POMC neurons. Science, 332, 1330–1332. (9)

Minichiello, L. (2009). TrkB signaling path- ways in LTP and learning. Nature Reviews Neuroscience, 10, 850–860. (12)

Minkel, J. D., Banks, S., Htaik, O., Moreta, M. C., Jones, C. W., McGlinchey, E. L., . . . Dinges, D. F. (2012). Sleep deprivation and stressors: Evidence for elevated negative affect in response to mild stressors when sleep deprived. Emotion, 12, 1015–1020. (8)

Minokoshi, Y., Alquier, T., Furukawa, N., Kim, Y.-B., Lee, A., Xue, B.,  .  .  .  Kahn, B. B. (2004). AMP-kinase regulates food intake by responding to hormonal and nutrient signals in the hypothalamus. Nature, 428, 569–574. (9)

Minto, C. L., Liao, L.-M., Woodhouse, C. R. J., Ransley, P. G., & Creighton, S. M. (2003). The effect of clitoral surgery in individuals who have intersex conditions with ambiguous genitalia: A cross-sectional study. Lancet, 361, 1252–1257. (10)

Misrahi, M., Meduri, G., Pissard, S., Bouvattier, C., Beau, I., Loosfelt, H.,  .  .  .  Bougneres, P. (1997). Comparison of immunocyto- chemical and molecular features with the phenotype in a case of incomplete male pseudohermaphroditism associated with a mutation of the luteinizing hormone recep- tor. Journal of Clinical Endocrinology & Metabolism, 82, 2159–2165. (10)

Mistlberger, R. E., & Skene, D. J. (2004). Social influences on mammalian circadi- an rhythms: Animal and human studies. Biological Rhythms, 79, 533–556. (8)

Mitchell, D. E. (1980). The influence of early visual experience on visual perception. In C. S. Harris (Ed.), Visual coding and adapt- ability (pp. 1–50). Hillsdale, NJ: Erlbaum. (5)

Miu, A. C., Vulturar, R., Chis, A., Ungureanu, L., & Gross, J. J. (2013). Reappraisal as a mediator in the link between 5-HTTLPR and social anxiety symptoms. Emotion, 13, 1012–1022. (11)

Miyazawa, A., Fujiyoshi, Y., & Unwin, N. (2003). Structure and gating mechanism of the acetylcholine receptor pore. Nature, 423, 949–955. (2)

Mochizuki, T., Crocker, A., McCormack, S., Yanagisawa, M., Sakurai, T., & Scammell, T. E. (2004). Behavioral state instability in orex- in knock-out mice. Journal of Neuroscience, 24, 6291–6300. (8)

Moens, L. N., De Rijk, P., Reumers, J., Van den Bossche, M. J. A., Glassee, W., De Zutter, S.,  .  .  .  Del-Favero, J. (2011). Sequencing of DISC1 pathway genes reveals increased burden of rare missense variants in schizo- phrenia patients from a northern Swedish population. PLoS One, 6, e23450. (14)

Mokalled, M. H., Patra, C., Dickson, A. L., Endo, T., Stainer, D. Y. R., & Poss, K. D. (2016). Injury-induced ctgfa directs glial bridging and spinal cord regeneration in zebrafish. Science, 354, 630–634. (4)

Molloy, K., Griffiths, T. D., Chait, M., & Lavie, N. (2015). Inattentional deafness: Visual load leads to time-specific suppression of auditory evoked responses. Journal of Neuroscience, 35, 16046–16054. (6)

Money, J., & Ehrhardt, A. A. (1972). Man & woman, boy & girl. Baltimore: Johns Hopkins University Press. (10)

Money, J., & Lewis, V. (1966). IQ, genet- ics and accelerated growth: Adrenogenital syndrome. Bulletin of the Johns Hopkins Hospital, 118, 365–373. (10)

Money, J., & Schwartz, M. (1978). Biosocial determinants of gender identity differen- tiation and development. In J. B. Hutchison (Ed.), Biological determinants of sexual behaviour (pp. 765–784). Chichester, England: Wiley. (10)

“Monkeying around.” (2016). Nature, 532, 281. (0)

Monk, T. H., & Aplin, L. C. (1980). Spring and autumn daylight time changes: Studies of adjustment in sleep timings, mood, and effi- ciency. Ergonomics, 23, 167–178. (8)

Monteleone, P., Serritella, C., Scognamiglio, P., & Maj, M. (2010). Enhanced ghre- lin secretion in the cephalic phase of food ingestion in women with bulimia nervosa. Psychoneuroendocrinology, 35, 284–288. (9)

Montgomery, K. J., Seeherman, K. R., & Haxby, J. V. (2009). The well-tempered social brain. Psychological Science, 20, 1211–1213. (7)

Montgomery, S. A., Baldwin, D. S., Blier, P., Fineberg, N. A., Kasper, S., Lader, M.,  .  .  .  Thase, M. E. (2007). Which anti- depressants have demonstrated supe- rior efficacy? A review of the evidence. International Clinical Psychopharmacology, 22, 323–329. (14)

Monti, M. M., Vanhaudenhuyse, A., Coleman, M. R., Boly, M., Pickard, J. D., Tshibanda, L., . . . Laureys, S. (2010). Willful modulation of brain activity in disorders of conscious- ness. New England Journal of Medicine, 362, 579–589. (13)

Monti-Bloch, L., Jennings-White, C., Dolberg, D. S., & Berliner, D. L. (1994). The human vomeronasal system. Psychoneuroendocrinology, 19, 673–686. (6)

08202_ref_ptg01.indd 540 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 541

Montoya, E. R., Terburg, D., Bos, P. A., & van Honk, J. (2012). Testosterone, cortisol, and serotonin as key regulators of social aggres- sion: A review. Motivation & Emotion, 36, 65–73. (11)

Moody, T. D., Chang, G. Y., Vanek, Z. F., & Knowlton, B. J. (2010). Concurrent dis- crimination learning in Parkinson’s disease. Behavioral Neuroscience, 124, 1–8. (12)

Moore, L. B., Goodwin, B., Jones, S. A., Wisely, G. B., Serabjit-Singh, C. J., Willson, T. M., . . . Kliewer, S. A. (2000). St. John’s wort induces hepatic drug metabolism through activation of the pregnane X receptor. Proceedings of the National Academy of Sciences, USA, 97, 7500–7502. (14)

Moore, T. L., Schetter, S. P., Killiany, R. J., Rosene, D. L., & Moss, M. B. (2012). Impairment in delayed nonmatching to sample following lesions of dorsal prefron- tal cortex. Behavioral Neuroscience, 126, 772–780. (12)

Moore-Ede, M. C., Czeisler, C. A., & Richardson, G. S. (1983). Circadian time- keeping in health and disease. New England Journal of Medicine, 309, 469–476. (8)

Moors, A. (2009). Theories of emotion causa- tion: A review. Cognition & Emotion, 23, 625–662. (11)

Moretti, A., Ferrari, F., & Villa, R. F. (2015). Neuroprotection for ischaemic stroke: Current status and challenges. Pharmacology & Therapeutics, 146, 23–34. (4)

Morfini, G. A., You, Y-M., Pollema, S. L., Kaminska, A., Liu, K., Yoshioka, K.,  .  .  . Brady, S. T. (2009). Pathogenic hun- tingtin inhibits fast axonal transport by acti- vating JNK3 and phosphorylating kinesin. Nature Neuroscience, 12, 864–871. (7)

Mori, K., Mataga, N., & Imamura, K. (1992). Differential specificities of single mitral cells in rabbit olfactory bulb for a homologous series of fatty acid odor molecules. Journal of Neurophysiology, 67, 786–789. (6)

Moriuchi, J. M., Klin, A., & Jones, W. (2016). Mechanisms of diminished attention to eyes in autism. American Journal of Psychiatry, 174, 26–35. (14)

Morley, J. E., Levine, A. S., Grace, M., & Kneip, J. (1985). Peptide YY (PYY), a potent orexigenic agent. Brain Research, 341, 200–203. (9)

Moroz, L. L., Kocot, K. M., Citarella, M. R., Dosung, S., Norekian, T. P., Povolotskaya, I. S.,  .  .  . Kohn, A. B. (2014). The ctenophore genome and the evolutionary origin of ner- vous systems. Nature, 510, 109–114. (2)

Morquette, P., Verdier, D., Kodala, A., Féthière, J., Philippe, A. G., Robitaille, R., & Kolta, A. (2015). An astrocyte-dependent mecha- nism for neuronal rhythmogenesis. Nature Neuroscience, 18, 844–854. (1)

Morran, L. T., Schmidt, O. G., Gelarden, I. A., Parrish, R. C. II, & Lively, C. M. (2011). Running with the red queen: Host-parasite coevolution selects for biparental sex. Science, 333, 216–218. (10)

Morris, J. S., deBonis, M., & Dolan, R. J. (2002). Human amygdala responses to fearful eyes. NeuroImage, 17, 214–222. (11)

Morris, M., Lack, L., & Dawson, D. (1990). Sleep-onset insomniacs have delayed tem- perature rhythms. Sleep, 13, 1–14. (8)

Morrison, A. R., Sanford, L. D., Ball, W. A., Mann, G. L., & Ross, R. J. (1995). Stimulus- elicited behavior in rapid eye move- ment sleep without atonia. Behavioral Neuroscience, 109, 972–979. (8)

Morrison, J. H., & Baxter, M. G. (2012). The ageing cortical synapse: Hallmarks and implications for cognitive decline. Nature Reviews Neuroscience, 13, 240–250. (4)

Morrison, S. F. (2016). Central neural control of thermoregulation and brown adipose tissue. Autonomic Neuroscience, 196, 14–24. (9)

Morton, A. J., Wood, N. I., Hastings, M. H., Hurelbink, C., Barker, R. A., & Maywood, E. S. (2005). Disintegration of the sleep–wake cycle and circadian timing in Huntington’s disease. Journal of Neuroscience, 25, 157–163. (8)

Morton, G. J., Cummings, D. E., Baskin, D. G., Barsh, G. S., & Schwartz, M. W. (2006). Central nervous system control of food intake and body weight. Nature, 443, 289–295. (9)

Moruzzi, G., & Magoun, H. W. (1949). Brain stem reticular formation and activation of the EEG. Electroencephalography and Clinical Neurophysiology, 1, 455–473. (8)

Moscarello, J. M., & LeDoux, J. E. (2013). Active avoidance learning requires pre- frontal suppression of amygdala-mediated defensive reactions. Journal of Neuroscience, 33, 3815–3823. (11)

Moser, H. R., & Giesler, G. J. Jr. (2013). Itch and analgesia resulting from intrathecal applica- tion of morphine: Contrasting effects on different populations of trigeminothalamic tract neurons. Journal of Neuroscience, 33, 6093–6101. (6)

Moser, M.-B., & Moser, E. I. (2016, January). Where am I? Where am I going? Scientific American, 314(1), 26–33. (12)

Moss, C. F., & Simmons, A. M. (1986). Frequency selectivity of hearing in the green tree- frog, Hyla cinerea. Journal of Comparative Physiology, A, 159, 257–266. (6)

Moss, S. J., & Smart, T. G. (2001). Constructing inhibitory synapses. Nature Reviews Neuroscience, 2, 240–250. (2)

Mrzljak, L., Bergson, C., Pappy, M., Huff, R., Levenson, R., & Goldman-Rakic, P. S. (1996). Localization of dopamine D4 recep- tors in GABAergic neurons of the primate brain. Nature, 381, 245–248. (14)

Mueller, K., Fritz, T., Mildner, T., Richter, M., Schulze, K., Lepsien, J.,  .  .  .  Möller, H. E. (2015). Investigating the dynamics of the brain response to music: A central role of the ventral striatum/nucleus accumbens. NeuroImage, 116, 68–79. (11)

Muller, Y. L., Hanson, R. L., Bian, L., Mack, J., Shi, X. L., Pakyz, R.,  .  .  . Baier, L. J. (2010). Functional variants in MBL2 are associated

with type 2 diabetes and pre-diabetes traits in Pima Indians and the Old Order Amish. Diabetes, 59, 2080–2085. (9)

Munoz, D. P., & Everling, S. (2004). Look away: The anti-saccade task and the voluntary control of eye movement. Nature Reviews Neuroscience, 5, 218–228. (7)

Muraskin, J., Sherwin, J., & Sajda, P. (2015). Knowing when not to swing: EEG evidence that enhanced perception-action cou- pling underlies baseball batter expertise. NeuroImage, 123, 1–10. (5)

Murata, Y., Higo, N., Hayashi, T., Nishimura, Y., Sugiyama, Y., Oishi, T.,  .  .  .  Onoe, H. (2015). Temporal plasticity involved in recovery from manual dexterity deficit after motor cortex lesion in macaque monkeys. Journal of Neuroscience, 35, 84–95. (4)

Murphy, F. C., Nimmo-Smith, I., & Lawrence, A. D. (2003). Functional neuroanatomy of emotions: A meta-analysis. Cognitive, Affective, & Behavioral Neuroscience, 3, 207–233. (11)

Murphy, M. L. M., Slavich, G. M., Chen, E., & Miller, G. E. (2015). Targeted rejection predicts decreased symptom severity in youth with asthma. Psychological Science, 26, 111–121. (11)

Murphy, M. R., Checkley, S. A., Seckl, J. R., & Lightman, S. L. (1990). Naloxone inhibits oxytocin release at orgasm in man. Journal of Clinical Endocrinology & Metabolism, 71, 1056–1058. (10)

Murray, G., Carrington, M. J., Nicholas, C. L., Kleiman, J., Dwyer, R., Allen, N. B., & Trinder, J. (2009). Nature’s clocks and human mood: The circadian system mod- ulates reward motivation. Emotion, 9, 705–716. (8)

Murrell, J., Farlow, M., Ghetti, B., & Benson, M. D. (1991). A mutation in the amyloid precursor protein associated with heredi- tary Alzheimer’s disease. Science, 254, 97–99. (12)

Murty, N. A. R., & Arun, S. P. (2015). Dynamics of 3D view invariance in monkey inferotem- poral cortex. Journal of Neurophysiology, 113, 2180–2194. (5)

Murty, V. P., LaBar, K. S., & Adcock, R. A. (2012). Threat of punishment motivates memory encoding via amygdala, not mid- brain, interactions with the medial temporal lobe. Journal of Neuroscience, 32, 8969– 8976. (12)

Musacchia, G., Sams, M., Skoe, E., & Kraus, N. (2007). Musicians have enhanced sub- cortical auditory and audiovisual processing of speech and music. Proceedings of the National Academy of Sciences, USA, 104, 15894–15898. (4)

Musiek, E. S., & Holtzman, D. M. (2015). Three dimensions of the amyloid hypoth- esis: Time, space, and “wingmen.” Nature Neuroscience, 18, 800–806. (12)

Muto, V., Jaspar, M., Meyer, C., Kussé, C., Chellappa, S. L., Degueldre, C., . . . Maquet,

08202_ref_ptg01.indd 541 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

542 REFERENCES

P. (2016). Local modulation of human brain responses by circadian rhythmicity and sleep debt. Science, 353, 687–690. (8)

Myers, C. A., Vandermosten, M., Farris, E. A., Hancock, R., Gimenez, P., Black, J. M.,  .  .  .  Hoeft, F. (2014). White matter morphometric changes uniquely predict children’s reading acquisition. Psychological Science, 25, 1870–1883. (12)

Myers, J. J., & Sperry, R. W. (1985). Interhemispheric communication after sec- tion of the forebrain commissures. Cortex, 21, 249–260. (13)

Nadal, A., Díaz, M., & Valverde, M. A. (2001). The estrogen trinity: Membrane, cytosolic, and nuclear effects. News in Physiological Sciences, 16, 251–255. (10)

Nagarajan, S., Mahncke, H., Salz, T., Tallal, P., Roberts, T., & Merzenich, M. M. (1999). Cortical auditory signal processing in poor readers. Proceedings of the National Academy of Sciences, USA, 96, 6483–6488. (13)

Nagy, E. (2011). Sharing the moment: The duration of embraces in humans. Journal of Ethology, 29, 389–393. (7)

Nahum, L., Bouzerda-Wahlen, A., Guggisberg, A., Ptak, R., & Schnider, A. (2012). Forms of confabulation: Dissociations and associations. Neuropsychologia, 50, 2224–2234. (12)

Najt, P., Bayer, U., & Hausmann, M. (2013). Models of hemispheric specialization in facial emotion perception—A reevaluation. Emotion, 13, 159–167. (11)

Nakamura, K. (2011). Central circuitries for body temperature regulation and fever. American Journal of Physiology—Regulatory, Integrative, and Comparative Physiology, 301, R1207–R1228. (9)

Nakata, H., Yoshie, M., Miura, A., & Kudo, K. (2010). Characteristics of the athletes’ brain: Evidence from neurophysiology and neuroimaging. Brain Research Reviews, 62, 197–211. (5)

Nalls, M. A., Pankratz, N., Lill, C. M., Do, C. B., Hernandez, D. G., Saad, M.,  .  .  .  Singleton, A. B. (2014). Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease. Nature Genetics, 46, 989–993. (7)

Narr, K. L., Woods, R. P., Thompson, P. M., Szeszko, P., Robinson, D., Dimtcheva, T.,  .  .  .  Bilder, R. M. (2007). Relationships between IQ and regional cortical gray mat- ter thickness in healthy adults. Cerebral Cortex, 17, 2163–2171. (12)

Narrow, W. E., Rae, D. S., Robins, L. N., & Regier, D. A. (2002). Revised prevalence estimates of mental disorders in the United States. Archives of General Psychiatry, 59, 115–123. (14)

Nasr, S., Polimeni, J. R., & Tootell, R. B. H. (2016). Interdigitated color- and disparity- selective columns within human visual corti- cal areas V2 and V3. Journal of Neuroscience, 36, 1841–1857. (5)

Nassi, J. J., & Callaway, E. M. (2006). Multiple circuits relaying primate parallel visual path- ways to the middle temporal cortex. Journal of Neuroscience, 26, 12789–12798. (5)

Nassi, J. J., & Callaway, E. M. (2009). Parallel processing strategies of the primate visual system. Nature Reviews Neuroscience, 10, 360–372. (5)

Nathans, J., Davenport, C. M., Maumenee, I. H., Lewis, R. A., Hejtmancik, J. F., Litt, M., . . . Fishman, G. (1989). Molecular genet- ics of human blue cone monochromacy. Science, 245, 831–838. (5)

Naumer, M. J., & van den Bosch, J. J. F. (2009). Touching sounds: Thalamocortical plastic- ity and the neural basis of multisensory integration. Journal of Neurophysiology, 102, 7–8. (6)

Navarrete, C. D., McDonald, M. M., Mott, M. L., & Asher, B. (2012). Virtual morality: Emotion and action in a simulated three- dimensional “trolley problem.” Emotion, 12, 364–370. (11)

Nave, G., Camerer, C., & McCullough, M. (2015). Does oxytocin increase trust in humans? A critical review of the literature. Perspectives on Psychological Science, 10, 772–789. (13)

Nebes, R. D. (1974). Hemispheric specialization in commissurotomized man. Psychological Bulletin, 81, 1–14. (13)

Nedergaard, M., & Verkhatsky, A. (2012). Artifact versus reality: How astrocytes contribute to synaptic events. Glia, 60, 1013–1023. (1)

Nef, P. (1998). How we smell: The molecular and cellular bases of olfaction. News in Physiological Sciences, 13, 1–5. (6)

Nelson, D. L., Orr, H. T., & Warren, S. T. (2013). The unstable repeats—three evolv- ing faces of neurological disease. Neuron, 77, 825–843. (7)

Nelson, C. A., Wewerka, S., Thomas, K. M., Tribby-Walbridge, S., deRegnier, R., & Georgieff, M. (2000). Neurocognitive sequelae of infants of diabetic mothers. Behavioral Neuroscience, 114, 950–956. (4)

Nesvag, R., Bergmann, O., Rimol, L. M., Lange, E. H., Haukvik, U. K., Hartberg, C. B.,  .  .  .  Agartz, I. (2012). A 5-year follow- up study of brain cortical and subcortical abnormalities in a schizophrenia cohort. Schizophrenia Research, 142, 209–216. (14)

Netter, F. H. (1983). CIBA collection of medical illustrations: Vol. 1. Nervous system. New York: CIBA. (10)

Nettersheim, A., Hallschmid, M., Born, J., & Diekelmann, S. (2015). The role of sleep in motor sequence consolidation: Stabilization rather than enhancement. Journal of Neuroscience, 35, 6696–6702. (8)

Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium. (2015). Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature Neuroscience, 18, 199–209. (14)

Neumeister, A., Hu, X.-Z., Luckenbaugh, D. A., Schwarz, M., Nugent, A. C., Bonne, O.,  .  .  .  Charney, D. S. (2006). Differential effects of 5-HTTLPR genotypes on the behavioral and neural responses to tryp- tophan depletion in patients with major depression and controls. Archives of General Psychiatry, 63, 978–986. (14)

Neumeister, A., Nugent, A. C., Waldeck, T., Geraci, M., Schwarz, M., Bonne, O.,  .  .  .  Drevets, W. C. (2004). Neural and behavioral responses to tryptophan depletion in unmedicated patients with remitted major depressive disorder and controls. Archives of General Psychiatry, 61, 765–773. (14)

Neville, H. J., Bavelier, D., Corina, D., Rauschecker, J., Karni, A., Lalwani, A.,  .  .  .  Turner, R. (1998). Cerebral orga- nization for language in deaf and hearing subjects: Biological constraints and effects of experience. Proceedings of the National Academy of Sciences, USA, 95, 922–929. (13)

Nevin, R. (2007). Understanding international crime trends: The legacy of preschool lead exposure. Environmental Research, 104, 315–336. (11)

Nicklas, W. J., Saporito, M., Basma, A., Geller, H. M., & Heikkila, R. E. (1992). Mitochondrial mechanisms of neurotoxic- ity. Annals of the New York Academy of Sciences, 648, 28–36. (7)

Nicolelis, M. A. L., Ghazanfar, A. A., Stambaugh, C. R., Oliveira, L. M. O., Laubach, M., Chapin, J. K.,  .  .  .  Kaas, J. H. (1998). Simultaneous encoding of tactile information by three primate cortical areas. Nature Neuroscience, 1, 621–630. (3)

Nielsen, J., Hedeholm, R. B., Heinemeier, J., Bushnell, P. G., Christiansen, J. S., Olsen, J., . . . Steffensen, J. F. (2016). Eye lens radio- carbon reveals centuries of longevity in the Greenland shark (Somniosus microcephaus). Science, 353, 702–707. (4)

Nieuwenhuys, R., Voogd, J., & vanHuijzen, C. (1988). The human central nervous sys- tem (3rd rev. ed.). Berlin: Springer-Verlag. (3, 9, 11, 13)

Nijboer, T. C. W., Kollen, B. J., & Kwakkel, G. (2013). Time course of visuospatial neglect early after stroke: A longitudinal cohort study. Cortex, 59, 2021–2027. (13)

Nikolova, Y. S., Koenen, K. C., Galea, S., Wang, C.-M., Seney, M. L., Sibille, E.,  .  .  .  Hariri, A. R. (2014). Serotonin transporter epi- genetic modification predicts human brain function. Nature Neuroscience, 17, 1153–1155. (12)

Nilsson, G. E. (1999, December). The cost of a brain. Natural History, 108, 66–73. (3)

Nir, Y., & Tononi, G. (2010). Dreaming and the brain: From phenomenology to neuro- physiology. Trends in Cognitive Sciences, 14, 88–100. (8)

Nishimaru, H., Restrepo, C. E., Ryge, J., Yanagawa, Y., & Kiehn, O. (2005). Mammalian motor neurons corelease

08202_ref_ptg01.indd 542 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 543

glutamate and acetylcholine at central syn- apses. Proceedings of the National Academy of Sciences, USA, 102, 5245–5249. (2)

Nishimura, Y., Onoe, H., Morichika, Y., Perfiliev, S., Tsukada, H., & Isa, T. (2007). Time-dependent central compensatory mechanisms of finger dexterity after spinal cord injury. Science, 318, 1150–1155. (4)

Nishizawa, K., Fukabori, R., Okada, K., Kai, N., Uchigashima, M., Watanabe, M.,  .  .  .  Kobayashi, K. (2012). Striatal indi- rect pathway contributes to selection accu- racy of learned motor actions. Journal of Neuroscience, 32, 13421–13432. (7)

Nitabach, M. N., & Taghert, P. H. (2008). Organization of the Drosophila circadian con- trol circuit. Current Biology, 18, R84–R93. (8)

Noaghiul, S., & Hibbeln, J. R. (2003). Cross- national comparisons of seafood consump- tion and rates of bipolar disorders. American Journal of Psychiatry, 160, 2222–2227. (14)

Nørby, S., (2015). Why forget? On the adap- tive value of memory loss. Perspectives on Psychological Science, 10, 551–578. (12)

Nordenström, A., Frisén, L., Falhammar, H., Filipsson, H., Holmdahl, G., Janson, P. O.,  .  .  .  Nordenskjold, A. (2010). Sexual function and surgical outcome in women with congenital adrenal hyperplasia due to CYP21A2 deficiency: Clinical perspec- tive and the patients’ perception. Journal of Clinical Endocrinology & Metabolism, 95, 3633–3640. (10)

Nordenström, A., Servin, A., Bohlin, G., Larsson, A., & Wedell, A. (2002). Sex-typed toy play behavior correlates with the degree of prenatal androgen exposure assessed by CYP21 genotype in girls with congenital adrenal hyperplasia. Journal of Clinical Endocrinology & Metabolism, 87, 5119– 5124. (10)

Norman-Haignere, S. V., Albouy, P., Caclin, A., McDermott, J. H., Kanwisher, N. G., & Tillman, B. (2016). Pitch-responsive corti- cal regions in congenital amusia. Journal of Neuroscience, 36, 2986–2994. (6)

Norris, A. L., Marcus, D. K., & Green, B. A. (2015). Homosexuality as a discrete class. Psychological Science, 26, 1843–1853. (10)

North, R. A. (1989). Neurotransmitters and their receptors: From the clone to the clinic. Seminars in the Neurosciences, 1, 81–90. (2)

Nosenko, N. D., & Reznikov, A. G. (2001). Prenatal stress and sexual differen- tiation of monoaminergic brain systems. Neurophysiology, 33, 197–206. (10)

Nottebohm, F. (2002). Why are some neu- rons replaced in adult brain? Journal of Neuroscience, 22, 624–628. (4)

Novarino, G., El-Fishawy, P., Kayserili, H., Meguid, N. A., Scott, E. M., Schroth, J.,  .  .  .  Gleeson, J. G. (2012). Mutations in BCKD-kinase lead to a potentially treatable form of autism with epilepsy. Science, 338, 394–397. (14)

Nugent, B. M., Wright, C. L., Shetty, A. C., Hodes, G. E., Lenz, K. M., Mahurkar,

A., . . . McCarthy, M. M. (2015). Brain femi- nization requires active repression of mas- culinization via DNA methylation. Nature Neuroscience, 18, 690–697. (10)

Nugent, F. S., Penick, S. C., & Kauer, J. A. (2007). Opioids block long-term potentia- tion of inhibitory synapses. Nature, 446, 1086–1090. (12)

Numan, M., & Woodside, B. (2010). Maternity: Neural mechanisms, motivational processes, and physiological adaptations. Behavioral Neuroscience, 124, 715–741. (10, 11)

Nutt, D. J., Lingford-Hughes, A., Erritzoe, D., & Stokes, P. R. A. (2015). The dopamine theory of addiction: 40 years of highs and lows. Nature Reviews Neuroscience, 16, 305–312. (14)

Obeso, J. A., Marin, C., Rodriguez-Oroz, C., Blesa, J., Benitez-Temiño, B., Mena-Segovia, J., . . . Olanow, C. W. (2008). The basal gan- glia in Parkinson’s disease: Current concepts and unexplained observations. Annals of Neurology, 64(Suppl.), S30–S46. (7)

O’Connor, E. C., Kremer, Y., Lefort, S., Harada, M., Pascoli, V., Rohner, C., & Lüscher, C. (2015). Accumbal D1R neurons projecting to lateral hypothalamus authorize feeding. Neuron, 88, 553–564. (9)

Offidani, E., Guidi, J., Tomba, E., & Fava, G. A. (2013). Efficacy and tolerability of benzodi- azepines versus antidepressants in anxiety disorders: A systematic review and meta- analysis. Psychotherapy and Psychosomatics, 82, 355–362. (11)

Oka, Y., Ye, M., & Zuker, C. S. (2015). Thirst driving and suppressing signals encoded by distinct neural populations in the brain. Nature, 520, 349–352. (9)

O’Kane, G., Kensinger, E. A., & Corkin, S. (2004). Evidence for semantic learning in profound amnesia: An investigation with patient H. M. Hippocampus, 14, 417–425. (12)

Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., . . . Benjamin, D. J. (2016). Genome-wide association study identifies 74 loci associ- ated with educational attainments. Nature, 533, 539–542. (12)

O’Keefe, J., & Burgess, N. (1996). Geometric determinants of the place fields of hippo- campal neurons. Nature, 381, 425–434. (12)

O’Keefe, J., & Dostrovsky, J. (1971). The hip- pocampus as a spatial map. Preliminary evidence from unit activity in the freely- moving rat. Brain Research, 34, 171–175. (12)

Okhovat, M., Berrio, A., Wallace, G., Ophir, A. G., & Phelps, S. M. (2015). Sexual fidelity trade-offs promote regulatory variation in the prairie vole brain. Science, 350, 1371– 1374. (10)

Olanow, C. W., Goetz, C. G., Kordower, J. H., Stoessl, A. J., Sossi, V., Brin, M. F., . . . Freeman, T. B. (2003). A double-blind controlled trial of bilateral fetal nigral trans- plantation in Parkinson’s disease. Annals of Neurology, 54, 403–414. (7)

Olds, J. (1958). Satiation effects in self-stimula- tion of the brain. Journal of Comparative and Physiological Psychology, 51, 675–678. (14)

Olds, J., & Milner, P. (1954). Positive reinforce- ment produced by electrical stimulation of the septal area and other regions of the rat brain. Journal of Comparative and Physiological Psychology, 47, 419–428. (14)

Oliver, L. D., Mitchell, D. G. V., Dziobek, I., MacKinley, J., Coleman, K., Rankin, K. P., & Finger, E. C. (2015). Parsing cognitive and emotional empathy deficits for negative and positive stimuli in frontotemporal dementia. Neuropsychologia, 67, 14–26. (13)

Olkowicz, S., Kocourek, M., Lucan, R. K., Portes, M., Fitch, T., Herculano-Houzel, S., & Nemec, P. (2016). Birds have primate- like numbers of neurons in the forebrain. Proceedings of the National Academy of Sciences, 113, 7255–7260. (12)

Oler, J. A., Fox, A. S., Shelton, S. E., Rogers, J., Dyer, T. D., Davidson, R. J.,  .  .  .  Kalin, N. H. (2010). Amygdalar and hippocampal substrates of anxious temperament differ in their heritability. Nature, 466, 864–868. (11)

Olff, M., Frijling, J. L., Kubzansky, L. D., Bradley, B., Ellenbogen, M. A., Cardoso, C.,  .  .  .  van Zuiden, M. (2013). The role of oxytocin in social bonding, stress regula- tion and mental health: An update on the moderating effects of context and individual differences. Psychoneuroendocrinology, 38, 1883–1894. (13)

Olney, J. W., & Farber, N. B. (1995). Glutamate receptor dysfunction and schizophrenia. Archives of General Psychiatry, 52, 998– 1007. (14)

Olson, E. J., Boeve, B. F., & Silber, M. H. (2000). Rapid eye movement sleep behaviour disor- der: Demographic, clinical and laboratory findings in 93 cases. Brain, 123, 331–339. (8)

Olsson, A., Kopsida, E., Sorjonen, K., & Savic, I. (2016). Testosterone and estrogen impact social evaluations and vicarious emotions: A double-blind placebo-controlled study. Emotion, 16, 515–523. (10)

Olsson, M. J., Lundström, J. N., Kimball, B. A., Gordon, A. R., Karshikoff, B., Hosseini, N.,  .  .  .  Lekander, M. (2014). The scent of disease: Human body odor contains an early chemosensory cue of sickness. Psychological Science, 25, 817–823. (6)

Olton, D. S., & Papas, B. C. (1979). Spatial memory and hippocampal function. Neuropsychologia, 17, 669–682. (12)

Olton, D. S., Walker, J. A., & Gage, F. H. (1978). Hippocampal connections and spa- tial discrimination. Brain Research, 139, 295–308. (12)

Ono, M., Igarashi, T., Ohno, E., & Sasaki, M. (1995). Unusual thermal defence by a honeybee against mass attack by hornets. Nature, 377, 334–336. (9)

Oostenbroek, J., Suddendorf, T., Nielsen, M., Redshaw, J., Kennedy-Costantini, S., Davis, J.,  .  .  .  Slaughter, V. (2016). Comprehensive longitudinal study challenges the existence

08202_ref_ptg01.indd 543 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

544 REFERENCES

of neonatal imitation in humans. Current Biology, 26, 1334–1338. (7)

O’Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N.,  .  .  .  Eichler, E. E. (2012). Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature, 485, 246–250. (14)

O’Rourke, N. A., Weiler, N. C., Micheva, K. D., & Smith, S. J. (2012). Deep molecular diver- sity of mammalian synapses: Why it matters and how to measure it. Nature Reviews Neuroscience, 13, 365–379. (2)

Ortigue, S., Bianchi-Demicheli, F., Patel, N., Frum, C., & Lewis, J. W. (2010). Neuroimaging of love: fMRI meta-analysis evidence towards new perspectives in sex- ual medicine. Journal of Sexual Medicine, 7, 3541–3552. (13)

Otmakhov, N., Tao-Cheng, J.-H., Carpenter, S., Asrican, B., Dosemici, A., & Reese, T. S. (2004). Persistent accumulation of calcium/ calmodulin-dependent protein kinase II in dendritic spines after induction of NMDA receptor-dependent chemical long-term potentiation. Journal of Neuroscience, 25, 9324–9331. (12)

Ousman, S. S., & Kubes, P. (2012). Immune surveillance in the central nervous system. Nature Neuroscience, 15, 1096–1101. (1)

Owen, A. M., Coleman, M. R., Boly, M., Davis, M. H., Laureys, S., & Pickard, J. D. (2006). Detecting awareness in the vegetative state. Science, 313, 1402. (13)

Oxley, D. R., Smith, K. B., Alford, J. R., Hibbing, M. V., Miller, J. L., Scalora, M.,  .  .  .  Hibbing, J. R. (2008). Political attitudes vary with physiological traits. Science, 321, 1667–1670. (11)

Packer, A. M., Roska, B., & Häusser, M. (2013). Targeting neurons and photons for optogenet- ics. Nature Neuroscience, 16, 805–815. (3)

Padilla, S. L., Qiu, J., Soden, M. E., Sanz, E., Nestor, C. C., Barker, F. D.,  .  .  .  Palmiter, R. D. (2016). Agouti-related peptide neu- ral circuits mediate adaptive behaviors in the starved state. Nature Neuroscience, 19, 734–741. (9)

Paffen, C. L. E., & Alais, D. (2011). Attentional modulation of binocular rivalry. Frontiers in Human Neuroscience, 5, Article 105. (13)

Pail, G., Huf, W., Pjrek, E., Winkler, D., Willeit, M., Praschak-Rider, N., & Kasper, S. (2011). Bright-light therapy in the treatment of mood disorders. Neuropsychobiology, 64, 152–162. (14)

Palop, J. J., Chin, J., & Mucke, L. (2006). A net- work dysfunction perspective on neurodegen- erative diseases. Nature, 443, 768–773. (12)

Palva, S., Linkenkaer-Hansen, K., Näätänen, R., & Palva, J. M. (2005). Early neural correlates of conscious somatosensory perception. Journal of Neuroscience, 25, 5248–5258. (6)

Pandey, G. N., Pandey, S. C., Dwivedi, Y., Sharma, R. P., Janicak, P. G., & Davis, J. M. (1995). Platelet serotonin-2A receptors: A potential biological marker for suicidal

behavior. American Journal of Psychiatry, 152, 850–855. (11)

Panov, A. V., Gutekunst, C.-A., Leavitt, B. R., Hayden, M. R, Burke, J. R., Strittmatter, W. J., & Greenamyre, J. T. (2002). Early mito- chondrial calcium defects in Huntington’s disease are a direct effect of polyglutamines. Nature Neuroscience, 5, 731–736. (7)

Panula, P., & Nuutinen, S. (2013). The hista- minergic network in the brain: Basic orga- nization and role in disease. Nature Reviews Neuroscience, 14, 472–487. (8)

Pardal, R., & López-Barneo, J. (2002). Low glucose-sensing cells in the carotid body. Nature Neuroscience, 5, 197–198. (9)

Paredes, M. F., James, D., Gil-Perotin, S., Kim, H., Cotter, J. A., Ng, C.,  .  .  . Alvarez-Buylla, A. (2016). Extensive migration of young neurons into the infant human frontal lobe. Science, 354, 81. (4)

Parent, M. B., Habib, M. K., & Baker, G. B. (1999). Task-dependent effects of the antidepressant/antipanic drug phenelzine on memory. Psychopharmacology, 142, 280–288. (8)

Parise, E., & Csibra, G. (2012). Electrophysiological evidence for the under- standing of maternal speech by 9-month- old infants. Psychological Science, 23, 728–733. (3)

Park, D. C., & McDonough, I. M. (2013). The dynamic aging mind: Revelations from func- tional neuroimaging research. Perspectives on Psychological Science, 8, 62–67. (4)

Park, I. S., Lee, K. J., Han, J. W., Lee, N. J., Lee, W. T., Park, K. A., & Rhyu, I. J. (2009). Experience-dependent plasticity of cerebellar vermis in basketball players. Cerebellum, 8, 334–339. (7)

Park, I. S., Lee, N. J., Kim, T.-Y., Park, J.-H., Won, Y.-M., Jung, Y.-J., . . . Rhyu, I. J. (2012). Volumetric analysis of cerebellum in short- track speed skating players. Cerebellum, 11, 925–930. (7)

Park, J. E., Sohn, J. H., Seong, S. J., Suk, H. W., & Cho, M. J. (2015). General similarities but consistent differences between early- and late-onset depression among Korean adults aged 40 and older. Journal of Nervous and Mental Disease, 203, 617–625. (14)

Park, S., Holzman, P. S., & Goldman-Rakic, P. S. (1995). Spatial working memory deficits in the relatives of schizophrenic patients. Archives of General Psychiatry, 52, 821–828. (14)

Parker, G. H. (1922). Smell, taste, and allied senses in the vertebrates. Philadelphia: Lippincott. (6)

Parton, L. E., Ye, C. P., Coppari, R., Enriori, P. J., Choi, B., Zhang, C.-Y.,  .  .  .  Lowell, B. B. (2007). Glucose sensing by POMC neurons regulates glucose homeostasis and is impaired in obesity. Nature, 449, 228–232. (9)

Parvaz, M. A., Moeller, S. J., & Goldstein, R. Z. (2016). Incubation of cue-induced craving in adults addicted to cocaine measured by

electroencephalography. JAMA Psychiatry, 73, 1127–1134. (14)

Parvizi, J., Jacques, C., Foster, B. L., Withoft, N., Rangarajan, V., Weiner, K. S., & Grill- Spector, K. (2012). Electrical stimula- tion of human fusiform face-selective regions distorts face perception. Journal of Neuroscience, 32, 14915–14920. (5)

Pascual, A., Hidalgo-Figueroa, M., Piruat, J. I., Pintado, C. O., Gómez-Díaz, R., & López-Barneo, J. (2008). Absolute require- ment of GDNF for adult catecholaminergic neuron survival. Nature Neuroscience, 11, 755–761. (4)

Pasterski, V. L., Geffner, M. E., Brain, C., Hindmarsh, P., Brook, C., & Hines, M. (2005). Prenatal hormones and postnatal socialization by parents as determinants of male-typical toy play in girls with congenital adrenal hyperplasia. Child Development, 76, 264–278. (10)

Pasterski, V., Geffner, M. E., Brain, C., Hindmarsh, P., Brook, C., & Hines, M. (2011). Prenatal hormones and childhood sexual selection: Playmate and play style preferences in girls with congenital adrenal hyperplasia. Hormones and Behavior, 59, 549–555. (10)

Patten, S. B., Williams, J. V. A., Lavorato, D. H., Fiest, K. M., Bulloch, A. G. M., & Wang, J. L. (2015). The prevalence of major depres- sion is not changing. Canadian Journal of Psychiatry, 60, 31–34. (14)

Patterson, K., Nestor, P. J., & Rogers, T. T. (2007). Where do you know what you know? The representation of semantic knowl- edge in the human brain. Nature Reviews Neuroscience, 8, 976–987. (12)

Paulesu, E., Frith, U., Snowling, M., Gallagher, A., Morton, J., Frackowiak, R. S. J., & Frith, C. D. (1996). Is developmental dyslexia a disconnection syndrome? Brain, 119, 143–157. (13)

Paus, T., Marrett, S., Worsley, K. J., & Evans, A. C. (1995). Extraretinal modulation of cere- bral blood flow in the human visual cortex: Implications for saccadic suppression. Journal of Neurophysiology, 74, 2179–2183. (5)

Pavlov, I. P. (1927). Conditioned reflexes. Oxford, England: Oxford University Press. (12)

Payne, J. D., Kensinger, E. A., Wamsley, E. J., Spreng, R. N., Alger, S. E., Gibler, K.,  .  .  .  Stickgold, R. (2015). Napping and the selective consolidation ofnega- tive aspects of scenes. Emotion, 15, 176–186. (8)

Pearson, H. (2006). Freaks of nature? Nature, 444, 1000–1001. (7)

Peck, C. J., Lau, B., & Salzman, C. D. (2013). The primate amygdala combines infor- mation about space and value. Nature Neuroscience, 16, 340–348. (11)

Peelle, J. E., Troiani, V., Grossman, M., & Wingfield, A. (2011). Hearing loss in older adults affects neural systems supporting speech comprehension. Journal of Neuroscience, 31, 12638–12643. (6)

08202_ref_ptg01.indd 544 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 545

Peeters, R., Simone, L., Nelissen, K., Fabbri- Desstro, M., Vanduffel, W., Rizzolatti, G., & Orban, G. A. (2009). The rep- resentation of tool use in humans and monkeys: Common and uniquely human features. Journal of Neuroscience, 29, 11523–11539. (0)

Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., . . . Maquet, P. (2004). Are spatial memories strengthened in the human hippocampus during slow wave sleep? Neuron, 44, 535–545. (8)

Peleg, G., Katzir, G., Peleg, O., Kamara, M., Brodsky, L., Hel-Or, H.,  .  .  .  Nevo, E. (2006). Hereditary family signature of facial expression. Proceedings of the National Academy of Sciences, USA, 103, 15921–15926. (4)

Pelli, D. G., & Tillman, K. A. (2008). The uncrowded window of object recognition. Nature Neuroscience, 11, 1129–1135. (5)

Pellis, S. M., O’Brien, D. P., Pellis, V. C., Teitelbaum, P., Wolgin, D. L., & Kennedy, S. (1988). Escalation of feline predation along a gradient from avoidance through “play” to killing. Behavioral Neuroscience, 102, 760–777. (11)

Pelleymounter, M. A., Cullen, M. J., Baker, M. B., Hecht, R., Winters, D., Boone, T., & Collins, F. (1995). Effects of the obese gene product on body weight regulation in ob/ob mice. Science, 269, 540–543. (9)

Pembrey, M. E., Bygren, L. O., Kaati, G., Edvinsson, S., Northstone, K., Sjöstrom, M.,  .  .  .  The ALSPAC Study Team. (2006). Sex-specific male-line transgenerational responses in humans. European Journal of Human Genetics, 14, 159–166. (4)

Penagos, H., Melcher, J. R., & Oxenham, A. J. (2004). A neural representation of pitch salience in nonprimary human auditory cortex revealed with functional magnetic resonance imaging. Journal of Neuroscience, 24, 6810–6815. (6)

Penfield, W. (1955). The permanent record of the stream of consciousness. Acta Psychologica, 11, 47–69. (12)

Penfield, W., & Milner, B. (1958). Memory deficit produced by bilateral lesions in the hippocampal zone. Archives of Neurology and Psychiatry, 79, 475–497. (12)

Penfield, W., & Perot, P. (1963). The brain’s record of auditory and visual experience. Brain, 86, 595–696. (12)

Penfield, W., & Rasmussen, T. (1950). The cere- bral cortex of man. New York: Macmillan. (3, 7)

Peng, G., & Wang, W. S.-Y. (2011). Hemisphere lateralization is influenced by bilin- gual status and composition of words. Neuropsychologia, 49, 1981–1986. (13)

Peng, Y., Gillis-Smith, S., Jin, H., Tränker, D., Ryba, N. J. P., & Zuker, C. S. (2015). Sweet and bitter taste in the brain of awake behav- ing animals. Nature, 527, 512–515. (6)

Penmatsa, A., Wang, K. H., & Gouaux, E. (2013). X-ray structure of dopamine trans-

porter elucidates antidepressant mecha- nism. Nature, 503, 85–90. (14)

Pennisi, E. (2015). Of mice and men. Nature, 349, 21–22. (12)

Penzo, M. A., Robert, V., Tucciarone, J., De Bundel, D., Wang, M., Van Aelst, L., . . . Li, B. (2015). The paraventricular thalamus con- trols a central amygdala fear circuit. Nature, 519, 455–459. (11)

Pepperberg, I. M. (1981). Functional vocaliza- tions by an African grey parrot. Zeitschrift für Tierpsychologie, 55, 139–160. (13)

Pepperberg, I. M. (1994). Numerical compe- tence in an African gray parrot (Psittacus erithacus). Journal of Comparative Psychology, 108, 36–44. (13)

Pereda, A. E. (2014). Electrical synapses and their functional interactions with chemical synapses. Nature Reviews Neuroscience, 15, 250–263. (2)

Pereira, M., & Ferreira, A. (2016). Neuroanatomical and neurochemical basis of parenting: Dynamic coordination of moti- vational, affective and cognitive processes. Hormones and Behavior, 77, 72–85. (10)

Perera, T. D., Coplan, J. D., Lisanby, S. H., Lipira, C. M., Arif, M., Carpio, C., . . . Dwork, A. J. (2007). Antidepressant-induced neurogen- esis in the hippocampus of adult nonhu- man primates. Journal of Neuroscience, 27, 4894–4901. (14)

Perlow, M. J., Freed, W. J., Hoffer, B. J., Seiger, A., Olson, L., & Wyatt, R. J. (1979). Brain grafts reduce motor abnormalities produced by destruction of nigrostriatal dopamine system. Science, 204, 643–647. (7)

Perrone, J. A., & Thiele, A. (2001). Speed skills: Measuring the visual speed analyzing properties of primate MT neurons. Nature Neuroscience, 4, 526–532. (5)

Peretti, D., Bastide, A., Radford, H., Verity, N., Molloy, C., Martin, M. G., . . . Mallucci, G. R. (2015). RBM3 mediates structural plasticity and protective effects of cooling in neurode- generation. Nature, 518, 236–239. (8)

Pert, C. B., & Snyder, S. H. (1973). The opiate receptor: Demonstration in nervous tissue. Science, 179, 1011–1014. (2, 6)

Pesold, C., & Treit, D. (1995). The central and basolateral amygdala differentially mediate the anxiolytic effect of benzodiazepines. Brain Research, 671, 213–221. (11)

Peters, F., Nicolson, N. A., Berkhof, J., Delespaul, P., & deVries, M. (2003). Effects of daily events on mood states in major depressive disorder. Journal of Abnormal Psychology, 112, 203–211. (14)

Peters, R. M., Hackeman, E., & Goldreich, D. (2009). Diminutive digits discern delicate details: Fingertip size and the sex differ- ence in tactile spatial acuity. Journal of Neuroscience, 29, 15756–15761. (6)

Peterson, C., Warren, K. L., & Short, M. M. (2011). Infantile amnesia across the years: A 2-year follow-up of children’s earli- est memories. Child Development, 82, 1092–1105. (12)

Peterson, C. K., & Harmon-Jones, E. (2012). Anger and testosterone: Evidence that sit- uationally-induced anger relates to situa- tionally-induced testosterone. Emotion, 12, 899–902. (11)

Peterson, L. R., & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, 193–198. (12)

Petitto, L. A., Zatorre, R. J., Gauna, K., Nikelski, E. J., Dostie, D., & Evans, A. C. (2000). Speech-like cerebral activity in pro- foundly deaf people processing signed lan- guages: Implications for the neural basis of human language. Proceedings of the National Academy of Sciences, USA, 97, 13961–13966. (13)

Petrovic, P., Kalso, E., Petersson, K. M., & Ingvar, M. (2002). Placebo and opioid analgesia—Imaging a shared neuronal net- work. Science, 295, 1737–1740. (6)

Pezzoli, G., & Cereda, E. (2013). Exposure to pesticides or solvents and risk of Parkinson’s disease. Neurology, 80, 2035–2041. (7)

Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002). Functional neuroanatomy of emo- tion: A meta-analysis of emotion activation studies in PET and fMRI. NeuroImage, 16, 331–348. (11)

Phelps, M. E., & Mazziotta, J. C. (1985). Positron emission tomography: Human brain function and biochemistry. Science, 228, 799–809. (3)

Pietropaolo, S., Feldon, J., Alleva, E., Cirulli, F., & Yee, B. K. (2006). The role of volun- tary exercise in enriched rearing: A behav- ioral analysis. Behavioral Neuroscience, 120, 787–803. (4)

Pietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M., & Voracek, M. (2015). Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean? Neuroscience and Biobehavioral Reviews, 57, 411–432. (12)

Pilley, J. W. (2013). Border collie compre- hends sentences containing a prepositional object, verb, and direct object. Learning and Motivation, 44, 229–240. (13)

Pinker, S. (1994). The language instinct. New York: HarperCollins. (13)

Pinkston, J. W., & Lamb, R. J. (2011). Delay discounting in C57BL/6J and DBA/2J mice: Adolescent-limited and life-persis- tent patterns of impulsivity. Behavioral Neuroscience, 125, 194–201. (4)

Pinto, L., & Götz, M. (2007). Radial glial cell heterogeneity: The source of diverse prog- eny in the CNS. Progress in Neurobiology, 83, 2–23. (1)

Pishnamazi, M., Tafakhori, A., Loloee, S., Modabbernia, A., Aghamollaii, V., Bahrami, B., & Winston, J. S. (2016). Attentional bias towards and away from fearful faces is mod- ulated by developmental amygdala damage. Cortex, 81, 24–34. (11)

Pizzagalli, D. A., Nitschke, J. B., Oakes, T. R., Hendrick, A. M., Horras, K. A., Larson, C.

08202_ref_ptg01.indd 545 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

546 REFERENCES

L., . . . Davidson, R. J. (2002). Brain electrical tomography in depression: The importance of symptom severity, anxiety, and melan- cholic features. Biological Psychiatry, 52, 73–85. (14)

Plant, G. T., James-Galton, M., & Wilkinson, D. (2015). Progressive cortical visual failure associated with occipital calcification and coeliac disease with relative preservation of the dorsal “action” pathway. Cortex, 71, 160–170. (5)

Platje, E., Popma, A., Vermeiren, R. R. J. M., Doreleijers, T. A. H., Meeus, W. H. J., van Lier, P. A. C.,  .  .  .  Jansen, L. M. C. (2015). Testosterone and cortisol in relation to aggres- sion in a non-clinical sample of boys and girls. Aggressive Behavior, 41, 478–487. (11)

Plihal, W., & Born, J. (1997). Effects of early and late nocturnal sleep on declarative and procedural memory. Journal of Cognitive Neuroscience, 9, 534–547. (8)

Plomin, R., Corley, R., DeFries, J. C., & Fulker, D. (1990). Individual differences in televi- sion viewing in early childhood: Nature as well as nurture. Psychological Science, 1, 371–377. (4)

Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2016). Top 10 repli- cated findings from behavioral genetics. Perspectives on Psychological Science, 11, 3–23. (4)

Plomin, R., Fulker, D. W., Corley, R., & DeFries, J. C. (1997). Nature, nurture, and cognitive development from 1 to 16 years: A par- ent-offspring adoption study. Psychological Science, 8, 442–447. (12)

Plomin, R., Haworth, C. M. A., Meaburn, E. L., Price, T. S., Wellcome Trust Case Control Consortium 2, & Davis, O. S. P. (2013). Common DNA markers can account for more than half of the genetic influence on cognitive abilities. Psychological Science, 24, 562–568. (4, 12)

Plutchik, R. (1982). A psychoevolutionary the- ory of emotions. Social Science Information, 21, 529–553. (11)

Pochedly, J. T., Widen, S. C., & Russell, J. A. (2012). What emotion does the “facial expression of disgust” express? Emotion, 12, 1315–1319. (11)

Poduslo, S. E., Huang, R., & Spiro, A. III (2009). A genome screen of successful aging without cognitive decline identifies LRP1B by haplotype analysis. American Journal of Medical Genetics, B, 153B, 114–119. (4)

Poldrack, R. A. (2006). Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Sciences, 10, 59–63. (3)

Poldrack, R. A., Sabb, F. W., Foerde, K., Tom, S. M., Asarnow, R. F., Bookheimer, S. Y., & Knowlton, B. J. (2005). The neural corre- lates of motor skill automaticity. Journal of Neuroscience, 25, 5356–5364. (7)

Polk, T. A., Drake, R. M., Jonides, J. J., Smith, M. R., & Smith, E. E. (2008). Attention enhances the neural processing of relevant features and suppresses the processing of

irrelevant features in humans: A functional magnetic resonance imaging study of the Stroop task. Journal of Neuroscience, 28, 13786–13792. (13)

Pons, T. P., Garraghty, P. E., Ommaya, A. K., Kaas, J. H., Taub, E., & Mishkin, M. (1991). Massive cortical reorganization after sensory deafferentation in adult macaques. Science, 252, 1857–1860. (4)

Pontieri, F. E., Tanda, G., Orzi, F., & DiChiara, G. (1996). Effects of nicotine on the nucleus accumbens and similarity to those of addic- tive drugs. Nature, 382, 255–257. (3)

Pontzer, H., Brown, M. H., Raichlen, D. A., Dunsworth, H., Hare, B., Walker, K., . . . Ross, S. R. (2016). Metabolic accelera- tion and the evolution of human brain size and life history. Nature, 533, 390–392. (12)

Poremba, A., Saunders, R. C., Crane, A. M., Cook, M., Sokoloff, L., & Mishkin, M. (2003). Functional mapping of the primate auditory system. Science, 299, 568–572. (6)

Porter, J., Craven, B., Khan, R. M., Chang, S.-J., Kang, I., Judkewicz, B., . . . Sobel, N. (2007). Mechanisms of scent-tracking in humans. Nature Neuroscience, 10, 27–29. (6)

Posner, S. F., Baker, L., Heath, A., & Martin, N. G. (1996). Social contact, social attitudes, and twin similarity. Behavior Genetics, 26, 123–133. (4)

Post, R. M. (1992). Transduction of psycho- logical stress into the neurobiology of recur- rent affective disorder. American Journal of Psychiatry, 149, 999–1010. (14)

Posthuma, D., De Geus, E. J. C., Baaré, W. F. C., Pol, H. E. H., Kahn, R. S., & Boomsma, D. I. (2002). The association between brain volume and intelligence is of genetic origin. Nature Neuroscience, 5, 83–84. (12)

Potegal, M. (1994). Aggressive arousal: The amygdala connection. In M. Potegal & J. F. Knutson (Eds.), The dynamics of aggression (pp. 73–111). Hillsdale, NJ: Erlbaum. (11)

Potegal, M., Ferris, C., Hebert, M., Meyerhoff, J. M., & Skaredoff, L. (1996). Attack priming in female Syrian golden hamsters is associ- ated with a c-fos coupled process within the corticomedial amygdala. Neuroscience, 75, 869–880. (11)

Potegal, M., Hebert, M., DeCoster, M., & Meyerhoff, J. L. (1996). Brief, high-fre- quency stimulation of the corticomedial amygdala induces a delayed and prolonged increase of aggressiveness in male Syrian golden hamsters. Behavioral Neuroscience, 110, 401–412. (11)

Potegal, M., Robison, S., Anderson, F., Jordan, C., & Shapiro, E. (2007). Sequence and priming in 15 month-olds’ reactions to brief arm restraint: Evidence for a hierarchy of anger responses. Aggressive Behavior, 33, 508–518. (11)

Pouchelon, G., Gambino, F., Bellone, C., Telley, L., Vitali, I., Lüscher, C.,  .  .  .  Jabaudon, D. (2014). Modality-specific thalamocortical inputs instruct the identity of postsynaptic L4 neurons. Nature, 511, 471–477. (4)

Poulos, A. M., & Thompson, R. F. (2015). Localization and characterization of an essential associative memory trace in the mammalian brain. Brain Research, 1621, 252–259. (12)

Poulin, M. J., Holman, E. A., & Buffone, A. (2012). The neruogenetics of nice: Oxytocin and vasopressin receptor genes and pro- social behavior. Psychological Science, 23, 446–452. (13)

Power, R. A., Keers, R., Ng, M. Y., Butler, A. W., Uher, R., Cohen-Woods, S.,  .  .  .  Lewis, C. M. (2012). Dissecting the genetic hetero- geneity of depression through age at onset. American Journal of Medical Genetics, 159B, 859–868. (14)

Preckel, F., Lipnevich, A. A., Anastasiya, A., Schneider, S., & Roberts, R. D. (2011). Chrono-type, cognitive abilities, and aca- demic achievement: A meta-analytic investi- gation. Learning and Individual Differences, 21, 483–492. (8)

Preckel, F., Lipnevich, A. A., Boehme, K., Brandner, L., Georgi, K., Könen, T.,  .  .  . Roberts, R. D. (2013). Morningness- eveningness and educational outcomes: The lark has an advantage over the owl at high school. British Journal of Educational Psychology, 83, 114–134. (8)

Premack, A. J., & Premack, D. (1972). Teaching language to an ape. Scientific American, 227(4), 92–99. (13)

Preti, G., Cutler, W. B., Garcia, C. R., Huggins, G. R., & Lawley, H. J. (1986). Human axil- lary secretions influence women’s menstrual cycles: The role of donor extract of females. Hormones and Behavior, 20, 474–482. (6)

Pritchard, T. C., Hamilton, R. B., Morse, J. R., & Norgren, R. (1986). Projections of thalamic gustatory and lingual areas in the monkey, Macaca fascicularis. Journal of Comparative Neurology, 244, 213–228. (6)

Provine, R. R. (1979). “Wing-flapping” devel- ops in wingless chicks. Behavioral and Neural Biology, 27, 233–237. (7)

Provine, R. R. (1981). Wing-flapping develops in chickens made flightless by feather muta- tions. Developmental Psychobiology, 14, 48 B 1–486. (7)

Provine, R. R. (1984). Wing-flapping dur- ing development and evolution. American Scientist, 72, 448–455. (7)

Provine, R. R. (1986). Yawning as a stereo- typed action pattern and releasing stimulus. Ethology, 72, 109–122. (7)

Provine, R. R. (1972). Ontogeny of bioelec- tric activity in the spinal cord of the chick embryo and its behavioral implications. Brain Research, 41, 365–378. (4)

Prutkin, J., Duffy, V. B., Etter, L., Fast, K., Gardner, E., Lucchina, L. A., . . . Bartoshuk, L. M. (2000). Genetic variation and infer- ences about perceived taste intensity in mice and men. Physiology & Behavior, 69, 161–173. (6)

Puca, A. A., Daly, M. J., Brewster, S. J., Matise, T. C., Barrett, J., Shea-Drinkwater,

08202_ref_ptg01.indd 546 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 547

M.,  .  .  .  Perls, T. (2001). A genome-wide scan for linkage to human exceptional lon- gevity identifies a locus on chromosome 4. Proceedings of the National Academy of Sciences (U.S.A.), 98, 10505–10508. (4)

Pudas, S., Persson, J., Josefsson, M., de Luna, X., Nilsson, L.-G., & Nyberg, L. (2013). Brain characteristics of individuals resist- ing age-related cognitive decline over two decades. Journal of Neuroscience, 33, 8668–8677. (4)

Puneeth, N. C., & Arun, S. P. (2016). A neural substrate for object permanence in monkey inferotemporal cortex. Scientific Reports, 6, Article 30808. (5)

Purcell, D. W., Blanchard, R., & Zucker, K. J. (2000). Birth order in a contemporary sam- ple of gay men. Archives of Sexual Behavior, 29, 349–356. (10)

Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., . . . Sklar, P. (2014). A polygenic burden of rare disruptive mutations in schizophrenia. Nature, 506, 185–190. (14)

Purves, D., & Hadley, R. D. (1985). Changes in the dendritic branching of adult mammalian neurones revealed by repeated imaging in situ. Nature, 315, 404–406. (4)

Purves, D., & Lotto, R. B. (2003). Why we see what we do: An empirical theory of vision. Sunderland, MA: Sinauer Associates. (5)

Purves, D., Shimpi, A., & Lotto, R. B. (1999). An empirical explanation of the Cornsweet effect. Journal of Neuroscience, 19, 8542–8551. (5)

Putnam, S. K., Du, J., Sato, S., & Hull, E. M. (2001). Testosterone restoration of copula- tory behavior correlates with medial preop- tic dopamine release in castrated male rats. Hormones and Behavior, 39, 216–224. (10)

Puzziferri, N., Roshek, T. B. III, Mayo, H. G., Gallagher, R., Belle, S. H., & Livingston, E. H. (2014). Long-term follow-up after bar- iatric surgery: A systematic review. Journal of the American Medical Association, 312, 934–942. (9)

Queen, T. L., & Hess, T. M. (2010). Age dif- ferences in the effects of conscious and unconscious thought in decision making. Psychology and Aging, 25, 251–261. (4)

Race, E., Keane, M. M., & Verfaellie, M. (2011). Medial temporal lobe damage causes defi- cits in episodic memory and episodic future thinking not attributable to deficits in nar- rative construction. Journal of Neuroscience, 31, 10262–10269. (12)

Radoeva, P. D., Prasad, S., Brainard, D. H., & Aguirre, G. K. (2008). Neural activity within area V1 reflects unconscious visual perfor- mance in a case of blindsight. Journal of Cognitive Neuroscience, 20, 1927–1939. (5)

Rahman, Q., & Wilson, G. D. (2003). Born gay? The psychobiology of human sexual orienta- tion. Personality and Individual Differences, 34, 1337–1382. (10)

Rainville, P., Duncan, G. H., Price, D. D., Carrier, B., & Bushnell, M. C. (1997). Pain

affect encoded in human anterior cingulate but not somatosensory cortex. Science, 277, 968–971. (6)

Rakic, P. (1998). Cortical development and evolution. In M. S. Gazzaniga & J. S. Altman (Eds.), Brain and mind: Evolutionary per- spectives (pp. 34–40). Strasbourg, France: Human Frontier Science Program. (4)

Ralph, M. R., Foster, R. G., Davis, F. C., & Menaker, M. (1990). Transplanted supra- chiasmatic nucleus determines circadian period. Science, 247, 975–978. (8)

Ralph, M. R., & Menaker, M. (1988). A muta- tion of the circadian system in golden ham- sters. Science, 241, 1225–1227. (8)

Ramachandran, V. S. (2003, May). Hearing colors, tasting shapes. Scientific American, 288(5), 52–59. (6)

Ramachandran, V. S., & Blakeslee, S. (1998). Phantoms in the brain. New York: Morrow. (4)

Ramachandran, V. S., & Hirstein, W. (1998). The perception of phantom limbs: The D. O. Hebb lecture. Brain, 121, 1603–1630. (4)

Ramirez, J. J. (2001). The role of axonal sprout- ing in functional reorganization after CNS injury: Lessons from the hippocam- pal formation. Restorative Neurology and Neuroscience, 19, 237–262. (4)

Ramirez, J. J., Bulsara, K. R., Moore, S. C., Ruch, K., & Abrams, W. (1999). Progressive unilateral damage of the entorhinal cortex enhances synaptic efficacy of the crossed entorhinal afferent to dentate granule cells. Journal of Neuroscience, 19: RC42, 1–6. (4)

Ramirez, J. J., Campbell, D., Poulton, W., Barton, C., Swails, J., Geghman, K., . . . Courchesne, S. L. (2007). Bilateral entorhinal cortex lesions impair acquisition of delayed spatial alternation in rats. Neurobiology of Learning and Memory, 87, 264–268. (4)

Ramirez, J. J., McQuilkin, M., Carrigan, T., MacDonald, K., & Kelley, M. S. (1996). Progressive entorhinal cortex lesions accel- erate hippocampal sprouting and spare spatial memory in rats. Proceedings of the National Academy of Sciences, USA, 93, 15512–15517. (4)

Ramón y Cajal, S. see Cajal, S. R. Randler, C., Ebenhöh, N., Fischer, A., Höchel,

S., Schroff, C., Stoll, J. C., & Vollmer, C. (2012). Chronotype but not sleep length is related to salivary testosterone in young men. Psychoneuroendocrinology, 37, 1740–1744. (8)

Ran, C., Hoon, M. A., & Chen, X. (2016). The coding of cutaneous temperature in the spinal cord. Nature Neuroscience, 19, 1201–1209. (6)

Ranson, S. W., & Clark, S. L. (1959). The anatomy of the nervous system: Its develop- ment and function (10th ed.). Philadelphia: Saunders. (3)

Rapoport, S. I., & Robinson, P. J. (1986). Tight- junctional modification as the basis of osmotic opening of the blood–brain barrier. Annals of the New York Academy of Sciences, 481, 250–267. (1)

Rasch, B., Pommer, J., Diekelmann, & Born, J. (2009). Pharmacological REM sleep sup- pression paradoxically improves rather than impairs skill memory. Nature Neuroscience, 12, 396–397. (8)

Raschle, N. M., Zuk, J., & Gaab, N. (2012). Functional characteristics of developmental dyslexia in left-hemispheric posterior brain regions predate reading onset. Proceedings of the National Academy of Sciences (U.S.A.), 109, 2156–2161. (13)

Rattenborg, N. C., Amlaner, C. J., & Lima, S. L. (2000). Behavioral, neurophysiological and evolutionary perspectives on unihemispher- ic sleep. Neuroscience and Biobehavioral Reviews, 24, 817–842. (8)

Rattenborg, N. C., Mandt, B. H., Obermeyer, W. H., Winsauer, P. J., Huber, R., Wikelski, M., & Benca, R. M. (2004). Migratory sleeplessness in the white-crowned spar- row (Zonotrichia leucophrys gambelii). PLoS Biology, 2, 924–936. (8)

Rattenborg, N. C., Voirin, B., Cruz, S. M., Tisdale, R., Dell’Omo, G., Llipp, H.-P.,  .  .  .  Vyssotski, A. L. (2016). Evidence that birds sleep in mid-flight. Nature Communications, 7, article 12468. (8)

Raum, W. J., McGivern, R. F., Peterson, M. A., Shryne, J. H., & Gorski, R. A. (1990). Prenatal inhibition of hypothalamic sex steroid uptake by cocaine: Effects on neu- robehavioral sexual differentiation in male rats. Developmental Brain Research, 53, 230–236. (10)

Rauschecker, A. M., Dastjerdi, M., Weiner, K. S., Witthoft, N., Chen, J., Selimbeyoglu, A., & Parvizi, J. (2011). Illusions of visual motion elicited by electrical stimulation of human MT complex. PLoS One, 6, e21798. (5)

Rauskolb, S., Zagrebelsky, M., Dreznjak, A., Deogracias, R., Matsumoto, T., Wiese, S.,  .  .  .  Barde, Y. A. (2010). Global depri- vation of brain-derived neurotrophic fac- tor in the CNS reveals an area-specific requirement for dendritic growth. Journal of Neuroscience, 30, 1739–1749. (4)

Ravussin, Y., Leibel, R. L., & Ferrante, A. W. Jr. (2014). A missing link in body weight homeostasis: The catabolic signal of the overfed state. Cell Metabolism, 20, 565–572. (9)

Rawlins, M. D., Wexler, N. S., Wexler, A. R., Tabrizi, S. J., Douglas, I., Evans, S. J. W., & Smeeth, L. (2016). The prevalence of Huntington’s disease. Neuroepidemiology, 46, 144–153. (7)

Rechenberg, K. (2016). Nutritional inter- ventions in clinical depression. Clinical Psychological Science, 4, 144–162. (14)

Redish, A. D. (2016). Vicarious trial and error. Nature Reviews Neuroscience, 17, 147–159. (12, 13)

Redmond, D. E., Jr., Bjugstad, K. B., Teng, Y. D., Ourednik, V., Ourednik, J., Wakeman, D. R.,  .  .  .  Snyder, E. Y. (2007). Behavioral improvement in a primate Parkinson’s

08202_ref_ptg01.indd 547 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

548 REFERENCES

model is associated with multiple homeo- static effects of human neural stem cells. Proceedings of the National Academy of Sciences, USA, 104, 12175–12180. (7)

Redondo, R. L., & Morris, R. G. M. (2011). Making memories last: The synaptic tagging and capture hypothesis. Nature Reviews Neuroscience, 12, 17–30. (12)

Reed, F. D. D., Hirst, J. M., & Hayman, S. R. (2012). Assessment and treatment of stereo- typic behavior in children with autism and other developmental disabilities: A thirty year review. Research in Autism Spectrum Disorders, 6, 422–430. (14)

Reeves, A. G., & Plum, F. (1969). Hyperphagia, rage, and dementia accompanying a ventro- medial hypothalamic neoplasm. Archives of Neurology, 20, 616–624. (9)

Refinetti, R. (2000). Circadian physiology. Boca Raton, FL: CRC Press. (8)

Refinetti, R., & Carlisle, H. J. (1986). Complementary nature of heat production and heat intake during behavioral thermo- regulation in the rat. Behavioral and Neural Biology, 46, 64–70. (9)

Refinetti, R., & Menaker, M. (1992). The circa- dian rhythm of body temperature. Physiology & Behavior, 51, 613–637. (8)

Regan, T. (1986). The rights of humans and other animals. Acta Physiologica Scandinavica, 128(Suppl. 554), 33–40. (0)

Reichelt, K. L., Seim, A. R., & Reichelt, W. H. (1996). Could schizophrenia be reasonably explained by Dohan’s hypothesis on genetic interaction with a dietary peptide overload? Progress in Neuro-Psychopharmacology & Biological Psychiatry, 20, 1083–1114. (14)

Reick, M., Garcia, J. A., Dudley, C., & McKnight, S. L. (2001). NPAS2: An analog of clock operative in the mammalian fore- brain. Science, 293, 506–509. (8)

Reid, C. A., Dixon, D. B., Takahashi, M., Bliss, T. V. P., & Fine, A. (2004). Optical quantal analysis indicates that long-term potentia- tion at single hippocampal mossy fiber syn- apses is expressed through increased release probability, recruitment of new release sites, and activation of silent synapses. Journal of Neuroscience, 24, 3618–3626. (12)

Reiner, W. G., & Gearhart, J. P. (2004). Discordant sexual identity in some genetic males with cloacal exstrophy assigned to female sex at birth. New England Journal of Medicine, 350, 333–341. (10)

Reinius, B., Saetre, P., Leonard, J. A., Blekhman, R., Merino-Martinez, R., Gilad, Y., & Jazin, E. (2008). An evolutionarily conserved sex- ual signature in the primate brain. PLoS Genetics, e1000100. (10)

Reisner, A. D. (2003). The electroconvulsive therapy controversy: Evidence and ethics. Neuropsychology Review, 13, 199–219. (14)

Rennaker, R. L., Chen, C.-F. F., Ruyle, A. M., Sloan, A. M., & Wilson, D. A. (2007). Spatial and temporal distribution of odor- ant-evoked activity in the piriform cortex. Journal of Neuroscience, 27, 1534–1542. (6)

Rensch, B. (1964). Memory and concepts of higher animals. Proceedings of the Zoological Society of Calcutta, 17, 207–221. (12)

Rensch, B. (1977). Panpsychic identism and its meaning for a universal evolutionary pic- ture. Scientia, 112, 337–349. (0)

Rensink, R. A., O’Regan, J. K., & Clark, J. J. (1997). To see or not to see: The need for attention to perceive changes in scenes. Psychological Science, 8, 368–373. (13)

Renzel, R., Baumann, C. R., & Poryazova, R. (2016). EEG after sleep deprivation is a sen- sitive tool in the first diagnosis of idiopathic generalized but not focal epilepsy. Clinical Neurophysiology, 127, 209–213. (3)

Reuter-Lorenz, P., & Davidson, R. J. (1981). Differential contributions of the two cere- bral hemispheres to the perception of happy and sad faces. Neuropsychologia, 19, 609–613. (11)

Reuter-Lorenz, P. A., & Miller, A. C. (1998). The cognitive neuroscience of human lat- erality: Lessons from the bisected brain. Current Directions in Psychological Science, 7, 15–20. (13)

Revusky, S. (2009). Chemical aversion treat- ment of alcoholism. In S. Reilly & T. R. Schachtman (Eds.), Conditioned taste aversion (pp. 445–472). New York: Oxford University Press. (14)

Rhees, R. W., Shryne, J. E., & Gorski, R. A. (1990). Onset of the hormone-sensitive peri- natal period for sexual differentiation of the sexually dimorphic nucleus of the preoptic area in female rats. Journal of Neurobiology, 21, 781–786. (10)

Rhodes, J. S., van Praag, H., Jeffrey, S., Girard, I., Mitchell, G. S., Garland, T., Jr., & Gage, F. H. (2003). Exercise increases hippocampal neu- rogenesis to high levels but does not improve spatial learning in mice bred for increased voluntary wheel running. Behavioral Neuroscience, 117, 1006–1016. (4)

Ricciardi, E., Bonino, D., Sani, L., Vecchi, T., Guazzelli, M., Haxby, J. V.,  .  .  .  Pietrini, P. (2009). Do we really need vision? How blind people “see” the actions of others. Journal of Neuroscience, 29, 9719–9724. (7)

Rice, G., Anderson, C., Risch, N., & Ebers, G. (1999). Male homosexuality: Absence of linkage to microsatellite markers at Xq28. Science, 284, 665–667. (10)

Rice, W. R., Friberg, U., & Gavrilets, S. (2012). Homosexuality as a consequence of epi- genetically canalized sexual development. Quarterly Review of Biology, 87, 343–368. (10)

Rich, E. L., & Wallis, J. D. (2016). Decoding subjective decisions from orbitofrontal cor- tex. Nature Neuroscience, 19, 973–980. (13)

Richard, C., Honoré, J., Bernati, T., & Rousseaux, M. (2004). Straight-ahead point- ing correlates with long-line bisection in neglect patients. Cortex, 40, 75–83. (13)

Richter, C. P. (1922). A behavioristic study of the activity of the rat. Comparative Psychology Monographs, 1, 1–55. (8)

Richter, C. P. (1936). Increased salt appetite in adrenalectomized rats. American Journal of Physiology, 115, 155–161. (9)

Richter, C. P. (1950). Taste and solubility of toxic compounds in poisoning of rats and humans. Journal of Comparative and Physiological Psychology, 43, 358–374. (6)

Richter, C. P. (1967). Psychopathology of peri- odic behavior in animals and man. In J. Zubin & H. F. Hunt (Eds.), Comparative psychopathology (pp. 205–227). New York: Grune & Stratton. (8)

Richter, C. P. (1975). Deep hypothermia and its effect on the 24-hour clock of rats and hamsters. Johns Hopkins Medical Journal, 136, 1–10. (8)

Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L.,  .  .  . Gordon, J. I. (2013). Gut microbiota from twins discor- dant for obesity modulate metabolism in mice. Science, 341, 1079. (9)

Rieger, G., Chivers, M. L., & Bailey, J. M. (2005). Sexual arousal patterns of bisexual men. Psychological Science, 16, 579–584. (10)

Riek, R., & Eisenberg, D. S. (2016). The activi- ties of amyloids from a structural perspec- tive. Nature, 539, 227–235. (12)

Riemann, D., König, A., Hohagen, F., Kiemen, A., Voderholzer, U., Backhaus, J., . . . Berger, M. (1999). How to preserve the antidepres- sive effect of sleep deprivation: A compari- son of sleep phase advance and sleep phase delay. European Archives of Psychiatry and Clinical Neuroscience, 249, 231–237. (14)

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W.,  .  .  .  Koellinger, P. D. (2013). GWAS of 126,559 individuals identifies genetic vari- ants associated with educational attainment. Science, 340, 1467–1471. (4)

Rigoni, D., Brass, M., & Sartori, G. (2010). Post- action determinants of the reported time of conscious intentions. Frontiers in Human Neuroscience, 4, article 38. (7)

Rilling, J. K., & Young, L. J. (2014). The biology of mammalian parenting and its effect on offspring social development. Science, 345, 771–776. (10)

Rinn, W. E. (1984). The neuropsychology of facial expression: A review of the neuro- logical and psychological mechanisms for producing facial expressions. Psychological Bulletin, 95, 52–77. (7)

Risch, N., Hoffmann, T. J., Anderson, M., Croen, L. A., Grether, J. K., & Windham, G. C. (2014). Familial recurrence of autism spectrum disorder: Evaluating genetic and environmental contributions. American Journal of Psychiatry, 171, 1206–1213. (14)

Ritchie, S. J., Bastin, M. E., Tucker-Drob, E. M., Maniega, S. M., Englehardt, L. E., Cox, S. R.,  .  .  . Deary, I. J. (2015). Coupled changes in brain white matter microstructure and fluid intelligence in later life. Journal of Neuroscience, 35, 8672–8682. (12)

Rittenhouse, C. D., Shouval, H. Z., Paradiso, M. A., & Bear, M. F. (1999). Monocular

08202_ref_ptg01.indd 548 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 549

deprivation induces homosynaptic long- term depression in visual cortex. Nature, 397, 347–350. (5)

Ritz, B., Ascherio, A., Checkoway, H., Marder, K. S., Nelson, L. M., Rocca, W. A., . . . Gorell, J. (2007). Pooled analysis of tobacco use and risk of Parkinson’s disease. Archives of Neurology, 64, 990–997. (7)

Riva-Posse, P., Holtzheimer, P. E., Garlow, S. J., & Mayberg, H. S. (2013). Practical consider- ations in the development and refinement of subcallosal cingulate white matter deep brain stimulation for treatment-resistant depression. World Neurosurgery, 80, S27. E25–S27.E34. (14)

Rizzolatti, G., & Sinigaglia, C. (2010). The func- tional role of the parieto-frontal mirror cir- cuit: Interpretations and misinterpretations. Nature Reviews Neuroscience, 11, 264–274. (7)

Roberson, D. P., Gudes, S., Sprague, J. M., Patoski, H. A. W., Robson, V. K., Blasl, F.,  .  .  .  Woolf, C. J. (2013). Activity- dependent silencing reveals functionally distinct itch-generating sensory neurons. Nature Neuroscience, 16, 910–918. (6)

Roberts, S. C., Gosling, L. M., Carter, V., & Petrie, M. (2008). MHC-correlated odour preferences in humans and the use of oral contraceptives. Proceedings of the Royal Society B, 275, 2715–2722. (6)

Robertson, I. H. (2005, Winter). The deceptive world of subjective awareness. Cerebrum, 7(1), 74–83. (3)

Robinson, A. M., Buttolph, T., Green, J. T., & Bucci, D. J. (2015). Physical exercise affects attentional orienting behavior through noradrenergic mechanisms. Behavioral Neuroscience, 129, 361–367. (4)

Robinson, M. J. F., & Berridge, K. C. (2013). Instant transformation of learned repul- sion into motivational “wanting.” Current Biology, 23, 282–289. (9)

Rocha, R. B., Dondossola, E. R., Grande, A. J., Colonetti, T., Ceretta, L. B., Passos, I. C.,  .  .  .  da Rosa, M. I. (2016). Increased BDNF levels after electroconvulsive therapy in patients with major depressive disorder: A meta-analysis study. Journal of Psychiatric Research, 83, 47–53. (14)

Rodgers, A. B., Morgan, C. P., Leu, A. N., & Bale, T. L. (2015). Transgenerational epigenetic programming via sperm micro RNA recapitulates effects of paternal stress. Proceedings of the National Academy of Sciences (U.S.A.), 112, 13699–13704. (4)

Rodriguez, I., Greer, C. A., Mok, M. Y., & Mombaerts, P. A. (2000). A putative phero- mone receptor gene expressed in human olfactory mucosa. Nature Genetics, 26, 18–19. (6)

Roenneberg, T., Allebrandt, K. V., Merrow, M., & Vetter, C. (2012). Social jetlag and obesity. Current Biology, 22, 939–943. (8)

Roenneberg, T., Kuehnle, T., Pramstaller, P. P., Ricken, J., Havel, M., Guth, A., & Merrow, M. (2004). A marker for the end of adolescence. Current Biology, 14, R1038–R1039. (8)

Roenneberg, T., Kumar, C. J., & Merrow, M. (2007). The human circadian clock entrains to sun time. Current Biology, 17, R44–R45. (8)

Roffwarg, H. P., Muzio, J. N., & Dement, W. C. (1966). Ontogenetic development of human sleep-dream cycle. Science, 152, 604–609. (8)

Roitman, M. F., Wheeler, R. A., Wightman, R. M., & Carelli, R. M. (2008). Real-time chem- ical responses in the nucleus accumbens differentiate rewarding and aversive stimuli. Nature Neuroscience, 11, 1376–1377. (14)

Rokers, B., Cormack, L. K., & Huk, A. C. (2009). Disparity- and velocity-based signals for three-dimensional motion perception in human MT1. Nature Neuroscience, 12, 1050–1055. (5)

Rolls, E. T. (1995). Central taste anatomy and neurophysiology. In R. L. Doty (Ed.), Handbook of olfaction and gustation (pp. 549–573). New York: Dekker. (6)

Rome, L. C., Loughna, P. T., & Goldspink, G. (1984). Muscle fiber activity in carp as a function of swimming speed and muscle temperature. American Journal of Psychiatry, 247, R272–R279. (7)

Romer, A. S. (1962). The vertebrate body. Philadelphia: Saunders. (4)

Romero, E., Cha, G.-H., Verstreken, P., Ly, C. V., Hughes, R. E., Bellen, H. J., & Botas, J. (2007). Suppression of neurodegeneration and increased neurotransmission caused by expanded full-length huntingtin accumulat- ing in the cytoplasm. Neuron, 57, 27–40. (7)

Rommel, S. A., Pabst, D. A., & McLellan, W. A. (1998). Reproductive thermoregulation in marine mammals. American Scientist, 86, 440–448. (9)

Roney, J. R., & Simmons, Z. L. (2013). Hormonal predictors of sexual motivation in natural menstrual cycles. Hormones and Behavior, 63, 636–645. (10)

Roorda, A., & Williams, D. R. (1999). The arrangement of the three cone classes in the living human eye. Nature, 397, 520–522. (5)

Roppel, R. M. (1978). Cancer and mental ill- ness. Science, 201, 398. (14)

Rosanova, M., Gosseries, O., Casarotto, S., Boly, M., Casali, A. G., Bruno, M.-A.,  .  .  . Massimini, M. (2012). Recovery of cortical effective connectivity and recov- ery of consciousness in vegetative patients. Brain, 135, 1308–1320. (13)

Rose, J. E., Brugge, J. F., Anderson, D. J., & Hind, J. E. (1967). Phase-locked response to low-frequency tones in single auditory nerve fibers of the squirrel monkey. Journal of Neurophysiology, 30, 769–793. (6)

Rose, T., Jaepel, J., Hübener, M., & Bonhoeffer, T. (2016). Cell-specific restoration of stimulus preference after monocular deprivation in the visual cortex. Science, 352, 1319–1322. (5)

Roselli, C. E., Larkin, K., Resko, J. A., Stellflug, J. N., & Stormshak, F. (2004). The volume of a sexually dimorphic nucleus in the ovine medial preoptic area/anterior hypothala- mus varies with sexual partner preference. Endocrinology, 145, 478–483. (10)

Roselli, C. E., Stadelman, H., Reeve, R., Bishop, C. V., & Stormshak, F. (2007). The ovine sexu- ally dimorphic nucleus of the medial preoptic area is organized prenatally by testosterone. Endocrinology, 148, 4450–4457. (10)

Rosen, H. J., Perry, R. J., Murphy, J., Kramer, J. H., Mychack, P., Schuff, N., . .  . Miller, B. L. (2002). Emotion comprehension in the tem- poral variant of frontotemporal dementia. Brain, 125, 2286–2295. (13)

Rosenbaum, R. S., Köhler, S., Schacter, D. L., Moscovitch, M., Westmacott, R., Black, S. E., . . . Tulving, E. (2005). The case of K. C.: Contributions of a memory-impaired per- son to memory theory. Neuropsychologia, 43, 989–1021. (12)

Rosenblatt, J. S. (1967). Nonhormonal basis of maternal behavior in the rat. Science, 156, 1512–1514. (10)

Rosenblatt, J. S. (1970). Views on the onset and maintenance of maternal behavior in the rat. In L. R. Aronson, E. Tobach, D. S. Lehrman, & J. S. Rosenblatt (Eds.), Development and evolution of behavior (pp. 489–515). San Francisco: Freeman. (10)

Rosenblatt, J. S., Olufowobi, A., & Siegel, H. I. (1998). Effects of pregnancy hormones on maternal responsiveness, responsiveness to estrogen stimulation of maternal behav- ior, and the lordosis response to estrogen stimulation. Hormones and Behavior, 33, 104–114. (10)

Rosenkranz, K., Butler, K., Williamson, A., & Rothwell, J. C. (2009). Regaining motor control in musician’s dystonia by restor- ing sensorimotor organization. Journal of Neuroscience, 29, 14627–14636. (4)

Rosenzweig, E. (2016). With eyes wide open: How and why awareness of the psychologi- cal immune is compatible with its efficacy. Perspectives on Psychological Science, 11, 222–238. (6)

Rosenzweig, M. R., & Bennett, E. L. (1996). Psychobiology of plasticity: Effects of train- ing and experience on brain and behavior. Behavioural Brain Research, 78, 57–65. (4)

Ross, E. D., Homan, R. W., & Buck, R. (1994). Differential hemispheric lateralization of pri- mary and social emotions. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 7, 1–19. (13)

Rossi, A. F., Bichot, N. P., Desimone, R., & Ungerleider, L. G. (2007). Top-down atten- tional deficits in macaques with lesions of lateral prefrontal cortex. Journal of Neuroscience, 27, 11306–11314. (13)

Rossi, D. J., Oshima, T., & Attwell, D. (2000). Glutamate release in severe brain ischaemia is mainly by reversed uptake. Nature, 403, 316–321. (4)

Rossi, E. A., & Roorda, A. (2010). The rela- tionship between visual resolution and cone spacing in the human fovea. Nature Neuroscience, 13, 156–157. (5)

Roth, B. L., Willins, D. L., Kristiansen, K., & Kroeze, W. K. (1999). Activation is hal- lucinogenic and antagonism is therapeutic:

08202_ref_ptg01.indd 549 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

550 REFERENCES

Role of 5-HT2A receptors in atypical anti- psychotic drug actions. Neuroscientist, 5, 254–262. (14)

Roth, M. M., Dahmen, J. C., Muir, D. R., Imhof, F., Martini, F. J., & Hofer, S. B. (2016). Thalamic nuclei convey diverse contextu- al information to layer 1 of visual cortex. Nature Neuroscience, 19, 299–307. (5)

Rottenberg, J., Kasch, K. L., Gross, J. J., & Gotlib, I. H. (2002). Sadness and amusement reac- tivity differentially predict concurrent and prospective functioning in major depressive disorder. Emotion, 2, 135–146. (14)

Routtenberg, A., Cantallops, I., Zaffuto, S., Serrano, P., & Namgung, U. (2000). Enhanced learning after genetic overexpres- sion of a brain growth protein. Proceedings of the National Academy of Sciences, USA, 97, 7657–7662. (12)

Rouw, R., & Scholte, H. S. (2007). Increased structural connectivity in grapheme-col- or synesthesia. Nature Neuroscience, 10, 792–797. (6)

Roy, A., DeJong, J., & Linnoila, M. (1989). Cerebrospinal fluid monoamine metabo- lites and suicidal behavior in depressed patients. Archives of General Psychiatry, 46, 609–612. (11)

Royer, S., & Paré, D. (2003). Conservation of total synaptic weight through balanced syn- aptic depression and potentiation. Nature, 422, 518–522. (12)

Rozin, P., Dow, S., Moscovitch, M., & Rajaram, S. (1998). What causes humans to begin and end a meal? A role for memory for what has been eaten, as evidenced by a study of multiple meal eating in amnesic patients. Psychological Science, 9, 392–396. (12)

Rozin, P., & Kalat, J. W. (1971). Specific hungers and poison avoidance as adaptive specializa- tions of learning. Psychological Review, 78, 459–486. (9, 12)

Rozin, P., & Pelchat, M. L. (1988). Memories of mammaries: Adaptations to weaning from milk. Progress in Psychobiology and Physiological Psychology, 13, 1–29. (9)

Rozin, P., & Schull, J. (1988). The adaptive-evo- lutionary point of view in experimental psy- chology. In R. C. Atkinson, R. J. Herrnstein, G. Lindzey, & R. D. Luce (Eds.), Stevens’ handbook of experimental psychology (2nd ed.): Vol. 1. Perception and motivation (pp. 503–546). New York: Wiley. (12)

Rubens, A. B., & Benson, D. F. (1971). Associative visual agnosia. Archives of Neurology, 24, 305–316. (5)

Rubin, B. D., & Katz, L. C. (2001). Spatial cod- ing of enantiomers in the rat olfactory bulb. Nature Neuroscience, 4, 355–356. (6)

Rubin, M., Shvil, E., Papini, S., Chhetry, B. T., Helpman, L., Markowitz, J. C.,  .  .  .  Neria, Y. (2016). Greater hippocampal volume is associated with PTSD treatment response. Psychiatry Research—Neuroimaging, 252, 36–39. (11)

Rubinow, M. J., Arseneau, L. M., Beverly, J. L., & Juraska, J. M. (2004). Effect of the estrous

cycle on water maze acquisition depends on the temperature of the water. Behavioral Neuroscience, 118, 863–868. (9)

Rubinstein, G. (1997). Schizophrenia, rheuma- toid arthritis and natural resistance genes. Schizophrenia Research, 25, 177–181. (14)

Rudebeck, P. H., & Murray, E. A. (2014). The orbitofrontal oracle: cortical mechanisms for the prediction and evaluation of specific behavioral outcomes. Neuron, 84, 1143– 1156. (13)

Rugg, M. D., & Thompson-Schill, S. L. (2013). Moving forward with fMRI data. Perspectives on Psychological Science, 8, 84–87. (3)

Rumbaugh, D. M. (Ed.). (1977). Language learning by a chimpanzee: The Lana Project. New York: Academic Press. (13)

Running, C. A., Craig, B. A., & Mattes, R. D. (2015). Oleogustus: The unique taste of fat. Chemical Senses, 40, 507–516. (6)

Rupprecht, R., di Michele, F., Hermann, B., Ströhle, A., Lancel, M., Romeo, E., & Holsboer, F. (2001). Neuroactive steroids: Molecular mechanisms of action and impli- cations for neuropsychopharmacology. Brain Research Reviews, 37, 59–67. (10)

Rusak, B., & Zucker, I. (1979). Neural regu- lation of circadian rhythms. Physiological Reviews, 59, 449–526. (8)

Ruschel, J., Hellal, F., Flynn, K. C., Dupraz, S., Elliott, D. A., Tedeschi, A.,  .  .  .  Bradke, F. (2015). Systemic administration of epothi- lone B promotes axon regeneration after spinal cord injury. Science, 348, 347–352. (4)

Russell, M. J., Switz, G. M., & Thompson, K. (1980). Olfactory influences on the human menstrual cycle. Pharmacology, Biochemistry, and Behavior, 13, 737–738. (6)

Russo, S. J., & Nestler, E. J. (2013). The brain reward circuitry in mood disorders. Nature Reviews Neuroscience, 14, 609–625. (14)

Rütgen, M., Seidel, E.-M., Riecansky, I., & Lamm, C. (2015). Reduction of empathy for pain by placebo analgesia suggests functional equivalence of empathy and first-hand emotion experience. Journal of Neuroscience, 35, 8938–8947. (6)

Saad, W. A., Luiz, A. C., Camargo, L. A. A., Renzi, A., & Manani, J. V. (1996). The lat- eral preoptic area plays a dual role in the regulation of thirst in the rat. Brain Research Bulletin, 39, 171–176. (9)

Sääksjärvi, K., Knekt, P., Rissanen, H., Laaksonen, M. A., Reunanen, A., & Männistö, S. (2008). Prospective study of coffee consumption and risk of Parkinson’s disease. European Journal of Clinical Nutrition, 62, 908–915. (7)

Sabelström, H., Stenudd, M., Réu, P., Dias, D. O., Elfineh, M., Zdunek, S.,  .  .  .  Frisén, J. (2013). Resident neural stem cells restrict tissue dam- age and neuronal loss after spinal cord injury in mice. Science, 342, 637–640. (4)

Sabo, K. T., & Kirtley, D. D. (1982). Objects and activities in the dreams of the blind. International Journal of Rehabilitation Research, 5, 241–242. (3)

Sack, R. L., & Lewy, A. J. (2001). Circadian rhythm sleep disorders: Lessons from the blind. Sleep Medicine Reviews, 5, 189–206. (8)

Sacks, O. (2010, August 30). Face-blind. The New Yorker, 86(31), 36–43. (5)

Sadato, N., Pascual-Leone, A., Grafman, J., Deiber, M.-P., Ibañez, V., & Hallett, M. (1998). Neural networks for Braille reading by the blind. Brain, 121, 1213–1229. (4)

Sadato, N., Pascual-Leone, A., Grafman, J., Ibañez, V., Deiber, M.-P., Dold, G., & Hallett, M. (1996). Activation of the primary visual cortex by Braille reading in blind subjects. Nature, 380, 526–528. (4)

Sadri-Vakili, G., Kumaresan, V., Schmidt, H. D., Famous, K. R., Chawla, P., Vassoler, F. M.,  .  .  . Cha, J. H. J. (2010). Cocaine-induced chromatin remodeling increases brain-derived neurotrophic factor transcription in the rat medial prefrontal cortex, which alters the reinforcing efficacy of cocaine. Journal of Neuroscience, 30, 11735–11744. (4)

Sagarin, B. J., Martin, A. L., Coutinho, S. A., Edlund, J. E., Patel, L., Skowronski, J. J., & Zengel, B. (2012). Sex differences in jealousy: A meta-analytic examination. Evolution and Human Behavior, 33, 595–614. (10)

Saito, K. (2013). Age effects on late bilingual- ism: The production development of /r/ by high-proficiency Japanese learners of English. Journal of Memory and Language, 69, 546–562. (13)

Saj, A., Fuhrman, O., Vuilleumier, P., & Boroditsky, L. (2014). Patients with left spatial neglect also neglect the “left side” of time. Psychological Science, 25, 207–214. (13)

Sakurai, T. (2007). The neural circuit of orexin (hypocretin): Maintaining sleep and wake- fulness. Nature Reviews Neuroscience, 8, 171–181. (8)

Salimpoor, V. N., van den Bosch, I., Kovacevic, N., McIntosh, A. R., Dagher, A., & Zatorre, R. J. (2013). Interactions between the nucleus accumbens and auditory cortices predict music reward value. Science, 340, 216–219. (14)

Salinsky, M., Kanter, R., & Dasheiff, R. M. (1987). Effectiveness of multiple EEGs in supporting the diagnosis of epilepsy: An operational curve. Epilepsia, 28, 331–334. (3)

Salmelin, R., Hari, R., Lounasmaa, O. V., & Sams, M. (1994). Dynamics of brain activa- tion during picture naming. Nature, 368, 463–465. (3)

Salthouse, T. A. (2006). Mental exercise and mental aging. Perspectives on Psychological Science, 1, 68–87. (4)

Salz, D. M., Tiganj, Z., Khasnabish, S., Kohley, A., Sheehan, D., Howard, M. W., & Eichenbaum, H. (2016). Time cells in hippo- campal area CA3. Journal of Neuroscience, 36, 7476–7484. (12)

Samara, M. T., Dold, M., Gianatsi, M., Nikolakopoulou, A., Helfer, B., Salanti, G.,  .  .  .  Leucht, S. (2016). Efficacy, accept- ability, and tolerability of antipsychotics in

08202_ref_ptg01.indd 550 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 551

treatment-resistant schizophrenia: A net- work meta-analysis. JAMA Psychiatry, 73, 199–210. (14)

Sami, M. B., & Faruqui, R. (2015). The effec- tiveness of dopamine agonists for treatment of neuropsychiatric symptoms post brain injury and stroke. Acta Neuropsychiatrica, 27, 317–326. (4)

Samochowiec, J., Samochowiec, A., Puls, I., Bienkowski, P., & Schott, B. H. (2014). Genetics of alcohol dependence: A review of clinical studies. Neuropsychobiology, 70, 77–94. (14)

Samuels, B. A., Anacker, C., Hu, A., Levinstein, M. R., Pickenhagen, A., Tsetsenis, T., . . . Hen, R. (2015). 5-HT1A receptors on mature dentate gyrus granule cells are criti- cal for the antidepressant response. Nature Neuroscience, 18, 1606–1616. (14)

Sanai, N., Nguyen, T., Ihrie, R. A., Mirzadeh, Z., Tsai, H.-H., Wong, M.,  .  .  .  Alvarez-Buylla, A., (2011). Corridors of migrating neurons in the human brain and their decline during infancy. Nature, 478, 382–386. (4)

Sánchez-Navarro, J. P., Driscoll, D., Anderson, S. W., Tranel, D., Bechara, A., & Buchanan, T. W. (2014). Alterations of attention and emotional processing following childhood- onset damage to the prefrontal cortex. Behavioral Neuroscience, 128, 1–11. (11)

Sanders, A. R., Martin, E. R., Beecham, G. W., Guo, S., Dawood, K., Rieger, G.,  .  .  . Bailey, J. M. (2015). Genome-wide scan demonstrates significant linkage for male sexual orientation. Psychological Medicine, 45, 1379–1388. (10)

Sanders, C. E., Tattersall, G. J., Reichert, M., Andrade, D. V., Abe, A. S., & Milsom, W. K. (2015). Daily and annual cycles in thermo- regulatory behaviour and cardio-respiratory physiology of black and white tegu lizards. Journal of Comparative Physiology B, 185, 905–915. (8)

Sanders, S. J., Xin, H., Willsey, A. J., Ercan- Sencicek, A. G., Samocha, K. E., Cicek, A. E.,  .  .  .  State, M. W. (2015). Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci. Neuron, 87, 1215–1233. (14)

Sanders, S. K., & Shekhar, A. (1995). Anxiolytic effects of chlordiazepoxide blocked by injec- tion of GABAA and benzodiazepine recep- tor antagonists in the region of the ante- rior basolateral amygdala of rats. Biological Psychiatry, 37, 473–476. (11)

Sanes, J. N., Donoghue, J. P., Thangaraj, V., Edelman, R. R., & Warach, S. (1995). Shared neural substrates controlling hand move- ments in human motor cortex. Science, 268, 1775–1777. (7)

Sanes, J. R. (1993). Topographic maps and molecular gradients. Current Opinion in Neurobiology, 3, 67–74. (4)

Sanger, T. D., Pascual-Leone, A., Tarsy, D., & Schlaug, G. (2001). Nonlinear sensory cor- tex response to simultaneous tactile stimuli in writer’s cramp. Movement Disorders, 17, 105–111. (4)

Sanger, T. D., Tarsy, D., & Pascual-Leone, A. (2001). Abnormalities of spatial and tempo- ral sensory discrimination in writer’s cramp. Movement Disorders, 16, 94–99. (4)

Santarnecchi, E., Galli, G., Polizzotto, N. R., Rossi, A., & Rossi, S. (2014). Efficiency of weak brain connections support gen- eral cognitive functioning. Human Brain Mapping, 35, 4566–4582. (12)

Saper, C. B., Romanovsky, A. A., & Scammell, T. E. (2012). Neural circuitry engaged by pros- taglandins during the sickness syndrome. Nature Neuroscience, 15, 1088–1095. (11)

Sapolsky, R. M. (1992). Stress, the aging brain, and the mechanisms of neuron death. Cambridge, MA: MIT Press. (11)

Sapolsky, R. M. (1998). Why zebras don’t get ulcers. New York: Freeman. (11)

Sapolsky, R. M. (2015). Stress and the brain: Individual variability and the inverted-U. Nature Neuroscience, 18, 1344–1346. (11)

Sargolini, F., Fyhn, M., Hafting, T., McNaughton, B. L., Witter, M. P., Moser, M.-B., & Moser, E. I. (2006). Conjunctive representation of position, direction, and velocity in entorhinal cortex. Science, 312, 758–762. (12)

Sarris, J., Panossian, A., Schweitzer, I., Stough, C., & Scholey, A. (2011). Herbal medicine for depression, anxiety and insomnia: A review of psychopharmacology and clinical evi- dence. European Neuropsychopharmacology, 21, 841–860. (14)

Satinoff, E. (1991). Developmental aspects of behavioral and reflexive thermoregulation. In H. N. Shanir, G. A. Barr, & M. A. Hofer (Eds.), Developmental psychobiology: New methods and changing concepts (pp. 169– 188). New York: Oxford University Press. (9)

Satinoff, E., McEwen, G. N., Jr., & Williams, B. A. (1976). Behavioral fever in newborn rab- bits. Science, 193, 1139–1140. (9)

Satinoff, E., & Rutstein, J. (1970). Behavioral thermoregulation in rats with anterior hypo- thalamic lesions. Journal of Comparative and Physiological Psychology, 71, 77–82. (9)

Sato, M., & Stryker, M. P. (2008). Distinctive features of adult ocular dominance plastic- ity. Journal of Neuroscience, 28, 10278– 10286. (5)

Saunders, A., Oldenburg, I. A., Berezovskii, V. K., Johnson, C. A., Kingery, N. D., Elliott, H. L.,  .  .  .  Satatini, B. L. (2015). A direct GABAergic output from the basal ganglia to the frontal cortex. Nature, 521, 85–89. (7)

Savage-Rumbaugh, E. S. (1990). Language acqui- sition in a nonhuman species: Implications for the innateness debate. Developmental Psychobiology, 23, 599–620. (13)

Savage-Rumbaugh, E. S., Murphy, J., Sevcik, R. A., Brakke, K. E., Williams, S. L., & Rumbaugh, D. M. (1993). Language compre- hension in ape and child. Monographs of the Society for Research in Child Development, 58 (Serial no. 233). (13)

Savage-Rumbaugh, E. S., Sevcik, R. A., Brakke, K. E., & Rumbaugh, D. M. (1992). Symbols: Their communicative use, communication,

and combination by bonobos (Pan panis- cus). In L. P. Lipsitt & C. Rovee-Collier (Eds.), Advances in infancy research (Vol. 7, pp. 221–278). Norwood, NJ: Ablex. (13)

Savic, I., & Arver, S. (2014). Sex differences in cortical thickness and their possible genetic and sex hormonal underpinnings. Cerebral Cortex, 24, 3246–3257. (12)

Savic, I., Berglund, H., & Lindström, P. (2005). Brain response to putative pheromones in homosexual men. Proceedings of the National Academy of Sciences (U.S.A.), 102, 7356–7361. (6)

Savic, I., & Lindström, P. (2008). PET and MRI show differences in cerebral asymmetry and functional connectivity between homo- and heterosexual subjects. Proceedings of the National Academy of Sciences, USA, 105, 9403–9408. (10)

Savin-Williams, R. C. (2016). Sexual orienta- tion: Categories or continuum? Commentary on Bailey et al. (2016). Psychological Science in the Public Interest, 17, 37–44. (10)

Saxton, T. K., Nováková, L. M., Jash, R., Sandová, A., Plotená, D., & Havlícek, J. (2014). Sex differences in olfactory behavior in Namibian and Czech children. Chemical Perception, 7, 117–125. (6)

Schaal, N. K., Pfeifer, J., Krause, V., & Pollok, B. (2015). From amusic to musical? Improving pitch memory in congenital amusia with transcranial alternating current stimulation. Behavioural Brain Research, 294, 141–148. (6)

Schacter, D. L. (1983). Amnesia observed: Remembering and forgetting in a natu- ral environment. Journal of Abnormal Psychology, 92, 236–242. (12)

Scheele, D., Striepens, N., Güntürkün, O., Deutschländer, S., Maier, W., Kendrick, K. M., & Hurlemann, R. (2012). Oxytocin modulates social distance between males and females. Journal of Neuroscience, 32, 16074–16079. (13)

Scheele, D., Wille, A., Kendrick, K. M., Stoffel-Wagner, B., Becker, B., Güntürkün, O.,  .  .  .  Hurlemann, R. (2013). Oxytocin enhances brain reward system responses in men viewing the face of their female part- ner. Proceedings of the National Academy of Sciences (U.S.A.), 110, 20308–20313. (13)

Scheibel, A. B. (1983). Dendritic changes. In B. Reisberg (Ed.), Alzheimer’s Disease (pp. 69–73). New York: Free Press. (12)

Schellenberg, E. G., & Trehub, S. E. (2003). Good pitch memory is widespread. Psychological Science, 14, 262–266. (6)

Schenk, T. (2006). An allocentric rather than perceptual deficit in patient D. F. Nature Neuroscience, 9, 1369–1370. (5)

Schenck, C. H. (2015). Update on sexsomnia, sleep related sexual seizures, and forensic implications. NeuroQuantology, 13, 518– 541. (8)

Schenk, T., Mai, N., Ditterich, J., & Zihl, J. (2000). Can a motion-blind patient reach for moving objects? European Journal of Neuroscience, 12, 3351–3360. (5)

08202_ref_ptg01.indd 551 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

552 REFERENCES

Scherrer, G., Imamachi, N., Cao, Y.-Q., Contet, C., Mennicken, F., O’Donnell, D.,  .  .  .  Basbaum, A. I. (2009). Dissociation of the opioid receptor mechanisms that control mechanical and heat pain. Cell, 137, 1148–1159. (6)

Scheyer, A. F., Loweth, J. A., Christian, D. T., Uejima, J., Rabei, R., Le, T.,  .  .  .  Wolf, M. E. (2016). AMPA receptor plasticity in accumbens core contributes to incubation of methamphetamine craving. Biological Psychiatry, 80, 661–670. (14)

Schiffman, S. S. (1983). Taste and smell in dis- ease. New England Journal of Medicine, 308, 1275–1279, 1337–1343. (6)

Schiffman, S. S., & Erickson, R. P. (1971). A psychophysical model for gustatory quality. Physiology & Behavior, 7, 617–633. (6)

Schiffman, S. S., & Erickson, R. P. (1980). The issue of primary tastes versus a taste continuum. Neuroscience and Biobehavioral Reviews, 4, 109–117. (6)

Schiffman, S. S., Lockhead, E., & Maes, F. W. (1983). Amiloride reduces the taste inten- sity of Na+ and Li+ salts and sweeteners. Proceedings of the National Academy of Sciences, USA, 80, 6136–6140. (6)

Schiffman, S. S., McElroy, A. E., & Erickson, R. P. (1980). The range of taste quality of sodium salts. Physiology & Behavior, 24, 217–224. (6)

Schizophrenia Working Group of the Psychiatric Genomics Consortium. (2014). Biological insights from 108 schizophrenia- associated genetic loci. Nature, 511, 421– 427. (14)

Schlack, A., Krekelberg, B., & Albright, T. D. (2007). Recent history of stimulus speeds affects the speed tuning of neurons in area MT. Journal of Neuroscience, 27, 11009–11018. (5)

Schlerf, J., Ivry, R. B., & Diedrichsen, J. (2012). Encoding of sensory prediction errors in the human cerebellum. Journal of Neuroscience, 32, 4913–4922. (7)

Schlinger, H. D., Jr. (1996). How the human got its spots. Skeptic, 4, 68–76. (4)

Schmid, A., Koch, M., & Schnitzler, H.-U. (1995). Conditioned pleasure attenuates the startle response in rats. Neurobiology of Learning and Memory, 64, 1–3. (11)

Schmid, M. C., Schmiedt, J. T., Peters, A. J., Saunders, R. C., Maier, A., & Leopold, D. A. (2013). Motion-sensitive responses in visual area V4 in the absence of primary visual cortex. Journal of Neuroscience, 33, 18740–18745. (5)

Schmidt, L. A. (1999). Frontal brain elec- trical activity in shyness and sociability. Psychological Science, 10, 316–320. (11)

Schmidt, R., Leventhal, D. K., Mallet, N., Chen, F., & Berke, J. D. (2013). Canceling actions involves a race between basal ganglia path- ways. Nature Neuroscience, 16, 1118–1124. (7)

Schmidt-Hieber, C, Jonas, P., & Bischofberger, J. (2004). Enhanced synaptic plasticity in newly generated granule cells of the adult hippocampus. Nature, 429, 184–187. (4)

Schmitt, K. C., & Reith, M. E. A. (2010). Regulation of the dopamine transporter. Annals of the New York Academy of Sciences, 1187, 316–340. (2)

Schneider, B. A., Trehub, S. E., Morrongiello, B. A., & Thorpe, L. A. (1986). Auditory sensitivity in preschool children. Journal of the Acoustical Society of America, 79, 447–452. (6)

Schneider, P., Scherg, M., Dosch, G., Specht, H. J., Gutschalk, A., & Rupp, A. (2002). Morphology of Heschl’s gyrus reflects enhanced activation in the auditory cor- tex of musicians. Nature Neuroscience, 5, 688–694. (4)

Schnider, A. (2003). Spontaneous confabula- tion and the adaptation of thought to ongo- ing reality. Nature Reviews Neuroscience, 4, 662–671. (12)

Schomacher, M., Müller, H. D., Sommer, C., Schwab, S., & Schäbitz, W.-R. (2008). Endocannabinoids mediate neuroprotection after transient focal cerebral ischemia. Brain Research, 1240, 213–220. (4)

Schroeder, J. A., & Flannery-Schroeder, E. (2005). Use of herb Gymnema sylvestre to illustrate the principles of gustatory sensa- tion: An undergraduate neuroscience labo- ratory exercise. Journal of Undergraduate Neuroscience Education, 3, A59–A62. (6)

Schröter, M. S., Spoormaker, V. I., Schorer, A., Wohlschläger, A., Czisch, M., Kochs, E. F.,  .  .  . Ilg, R. (2012). Spatiotemporal recon- figuration of large-scale brain functional networks during propofol-induced loss of consciousness. Journal of Neuroscience, 32, 12832–12840. (13)

Schuckit, M. A., & Smith, T. L. (1996). An 8-year follow-up of 450 sons of alcoholic and control subjects. Archives of General Psychiatry, 53, 202–210. (14)

Schuckit, M. A., & Smith, T. L. (1997). Assessing the risk for alcoholism among sons of alcoholics. Journal of Studies on Alcohol, 58, 141–145. (14)

Schuckit, M. A., & Smith, T. L. (2013). Stability of scores and correlations with drinking behaviors over 15 years for the self-report of the effects of alcohol questionnaire. Drug and Alcohol Dependence, 128, 194–199. (14)

Schuckit, M. A., Smith, T. L., Clausen, P., Fromme, K., Skidmore, J., Shafir, A., & Kalmijn, J. (2016). The low level of response to alcohol-based heavy drinking preven- tion program: One-year follow-up. Journal of Studies on Alcohol and Drugs, 77, 25–37. (14)

Schulkin, J. (1991). Sodium hunger: The search for a salty taste. Cambridge, England: Cambridge University Press. (9)

Schulz, K. M., Molenda-Figueira, H. A., & Sisk, C. L. (2009). Back to the future: The orga- nizational-activational hypothesis adapted to puberty and adolescence. Hormones and Behavior, 55, 597–604. (10)

Schumann, C. M., Bloss, C. S., Barnes, C. C., Wideman, G. M., Carper, R. A., Akshoomoff,

N.,  .  .  . Courchesne, E. (2010). Longitudinal magnetic resonance imaging study of corti- cal development through early childhood in autism. Journal of Neuroscience, 30, 4419– 4427. (14)

Schwartz, C. E., Wright, C. I., Shin, L. M., Kagan, J., & Rauch, S. L. (2003). Inhibited and uninhibited infants “grown up”: Adult amygdalar response to novelty. Science, 300, 1952–1953. (11)

Schwartz, G., Kim, R. M., Kolundzija, A. B., Rieger, G., & Sanders, A. R. (2010). Biodemographic and physical correlates of sexual orientation in men. Archives of Sexual Behavior, 39, 93–109. (10)

Schwartz, G. J. (2000). The role of gastrointes- tinal vagal afferents in the control of food intake: Current prospects. Nutrition, 16, 866–873. (9)

Schwartz, J. A. (2015). Socioeconomic status as a moderator of the genetic and shared environmental influence on verbal IQ: A multilevel behavioral genetic approach. Intelligence, 52, 80–89. (12)

Schwartz, L., & Tulipan, L. (1933). An outbreak of dermatitis among workers in a rubber manufacturing plant. Public Health Reports, 48, 809–814. (14)

Schwartz, M. F. (1995). Re-examining the role of executive functions in routine action pro- duction. Annals of the New York Academy of Sciences, 769, 321–335. (7)

Schwartz, N., Temkin, P., Jurado, S., Lim, B. K., Heifets, B. D., . . . Malenka, R. C. (2014). Decreased motivation during chronic pain requires long-term depression in the nucle- us accumbens. Science, 345, 535–542. (6)

Schwartz, W. J., & Gainer, H. (1977). Suprachiasmatic nucleus: Use of 14C-labeled deoxyglucose uptake as a functional marker. Science, 197, 1089–1091. (8)

Schwarz, J. M., Liang, S.-L., Thompson, S. M., & McCarthy, M. M. (2008). Estradiol induces hypothalamic dendritic spines by enhancing glutamate release: A mechanism for organizational sex differences. Neuron, 58, 584–598. (10)

Schweinhardt, P., Seminowicz, D. A., Jaeger, E., Duncan, G. H., & Bushnell, M. C. (2009). The anatomy of the mesolimbic reward system: A link between personality and the placebo analgesic response. Journal of Neuroscience, 29, 4882–4887. (6)

Scofield, M. D., Heinsbroek, J. A., Gipson, C. D., Kupchik, Y. M., Spencer, S., Smith, A. C. W.,  .  .  . Kalivas, P. W. (2016). The nucle- us accumbens: Mechanisms of addiction across drug classes reflect the importance of glutamate homeostasis. Pharmacological Reviews, 68, 816–871. (14)

Scott, S. H. (2004). Optimal feedback control and the neural basis of volitional motor control. Nature Reviews Neuroscience, 5, 532–544. (7)

Scoville, W. B., & Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. Journal of Neurology, Neurosurgery, and Psychiatry, 20, 11–21. (12)

08202_ref_ptg01.indd 552 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 553

Scullin, M. K., & Bliwise, D. L. (2015). Sleep, cognition, and normal aging: Integrating a half century of multidisciplinary research. Perspectives on Psychological Science, 10, 97–137. (8)

Sealey, L. A., Hughes, B. W., Sriskanda, A. N., Guest, J. R., Gibson, A. D., Johnson- Williams, L.,  .  .  .  Bagasra, O. (2016). Environmental factors in the development of autism spectrum disorders. Environment International, 88, 288–298. (14)

Seeley, R. J., Kaplan, J. M., & Grill, H. J. (1995). Effect of occluding the pylorus on intraoral intake: A test of the gastric hypothesis of meal termination. Physiology & Behavior, 58, 245–249. (9)

Seeman, P., Lee, T., Chau-Wong, M., & Wong, K. (1976). Antipsychotic drug doses and neuroleptic/dopamine receptors. Nature, 261, 717–719. (14)

Seery, M. D., Leo, R. J., Lupien, S. P., Kondrak, C. L., & Almonte, J. L. (2013). An upside to adversity? Moderate cumulative life- time adversity is associated with resilient responses in the face of controlled stressors. Psychological Science, 24, 1181–1189. (11)

Segal, N. L. (2000). Virtual twins: New find- ings on within-family environmental influ- ences on intelligence. Journal of Educational Psychology, 92, 442–448. (4)

Segal, N. L., McGuire, S. A., & Stohs, J. H. (2012). What virtual twins reveal about general intelligence and other behaviors. Personality and Individual Differences, 53, 405–410. (12)

Segerstrom, S. C., & Miller, G. E. (2004). Psychological stress and the human immune system: A meta-analytic study of 30 years of inquiry. Psychological Bulletin, 130, 601– 630. (11)

Sehgal, A., Ousley, A., Yang, Z., Chen, Y., & Schotland, P. (1999). What makes the circa- dian clock tick: Genes that keep time? Recent Progress in Hormone Research, 54, 61–85. (8)

Seid, M. A., Castillo, A, & Wcislo, W. T. (2011). The allometry of brain miniaturization in ants. Brain, Behavior and Evolution, 77, 5–13. (3)

Sekar, A., Bialas, A. R., de Rivera, H., Davis, A., Hammond, T. R., Kamitaki, N., . . . McCarroll, S. A. (2016). Schizophrenia risk from complex variation of complement component 4. Nature, 530, 177–183. (14)

Selkoe, D. J. (2000). Toward a comprehensive theory for Alzheimer’s disease. Annals of the New York Academy of Sciences, 924, 17–25. (12)

Selye, H. (1979). Stress, cancer, and the mind. In J. Taché, H. Selye, & S. B. Day (Eds.), Cancer, stress, and death (pp. 11–27). New York: Plenum Press. (11)

Semendeferi, K., Lu, A., Schenker, N., & Damasio, H. (2002). Humans and great apes share a large frontal cortex. Nature Neuroscience, 5, 272–276. (3)

Semenya, S. W., & Vasey, P. L. (2016). The relationship between adult occupational

preferences and childhood gender noncon- formity among Samoan women, men, and Fa’afafine. Human Nature, 27, 283–295. (10)

Sen, S., Duman, R., & Sanacora, G. (2008). Serum brain-derived neurotrophic factor, depression, and antidepressant medications: Meta-analyses and implications. Biological Psychiatry, 64, 527–532. (14)

Sens, E., Teschner, U., Meissner, W., Preul, C., Huonker, R., Witte, O. W.,  .  .  .  Weiss, T. (2012). Effects of temporary functional deafferentation on the brain, sensation, and behavior of stroke patients. Journal of Neuroscience, 32, 11773–11779. (4)

Seow, Y.-X., Ong, P. K. C., & Huang, D. (2016). Odor-specific loss of smell sensitivity with age as revealed by the specific sensitivity test. Chemical Senses, 41, 487–495. (6)

Sereno, A. B., & Holzman, P. S. (1993). Express saccades and smooth pursuit eye movement function in schizophrenic, affective disorder, and normal subjects. Journal of Cognitive Neuroscience, 5, 303–316. (14)

Sergent, C., & Dehaene, S. (2004). Is conscious- ness a gradual phenomenon? Psychological Science, 15, 720–728. (13)

Sergent, C., Wyart, V., Babo-Rebelo, M., Cohen, L., Naccache, L., & Tallon-Baudry, C. (2013). Cueing attention after the stim- ulus is gone can retrospectively trigger conscious perception. Current Biology, 23, 150–155. (13)

Serino, A., Pizzoferrato, F., & Làdavas, E. (2008). Viewing a face (especially one’s own face) being touched enhances tactile percep- tion on the face. Psychological Science, 19, 434–438. (6)

Severens, M., Farquhar, J., Desain, P., Duysens, J., & Gielen, C. (2010). Transient and steady- state responses to mechanical stimulation of different fingers reveal interactions based on lateral inhibition. Clinical Neurophysiology, 121, 2090–2096. (5)

Shackman, A. J., McMenamin, B. W., Maxwell, J. S., Greischar, L. L., & Davidson, R. J. (2009). Right dorsolateral prefrontal cor- tical activity and behavioral inhibition. Psychological Science, 20, 1500–1506. (11)

Shadlen, M. N., & Newsome, W. T. (1996). Motion perception: Seeing and deciding. Proceedings of the National Academy of Sciences (U.S.A.), 93, 628–633. (13)

Shah, B., Shine, R., Hudson, S., & Kearney, M. (2003). Sociality in lizards: Why do thick- tailed geckos (Nephrurus milii) aggregate? Behaviour, 140, 1039–1052. (9)

Shah, N. M., Pisapia, D. J., Maniatis, S., Mendelsohn, M. M., Nemes, A., & Axel, R. (2004). Visualizing sexual dimorphism in the brain. Neuron, 43, 313–319. (10)

Shalev, A. Y., Peri, T., Brandes, D., Freedman, S., Orr, S. P., & Pitman, R. K. (2000). Auditory startle response in trauma survivors with posttraumatic stress disorder: A prospective study. American Journal of Psychiatry, 157, 255–261. (11)

Shapiro, C. M., Bortz, R., Mitchell, D., Bartel, P., & Jooste, P. (1981). Slow-wave sleep: A recovery period after exercise. Science, 214, 1253–1254. (8)

Sharbaugh, S. M. (2001). Seasonal acclimatiza- tion to extreme climatic conditions by black- capped chickadees (Poecile atricapilla) in interior Alaska (64° N). Physiological and Biochemical Zoology, 74, 568–575. (9)

Sharma, J., Angelucci, A., & Sur, M. (2000). Induction of visual orientation modules in auditory cortex. Nature, 404, 841–847. (4)

Shatz, C. J. (1992, September). The developing brain. Scientific American, 267(9), 60–67. (4)

Shatz, C. J. (1996). Emergence of order in visual-system development. Proceedings of the National Academy of Sciences, USA, 93, 602–608. (5)

Shaw, D. J., & Czekóová, K. (2013). Exploring the development of the mirror neuron system: Finding the right paradigm. Developmental Neuropsychology, 38, 256–271. (7)

Shawa, N., & Roden, L. C. (2016). Chronotype of South African adults is affected by solar entrainment. Chronobiology International, 33, 315–323. (8)

Shema, R., Haramati, S., Ron, S., Hazvi, S., Chen, A., Sacktor, T. C.,  .  .  .  Dudai, Y. (2011). Enhancement of consolidated long- term memory by overexpression of protein kinase Mz in the neocortex. Science, 331, 1207–1210. (12)

Shema, R., Sacktor, T. C., & Dudai, Y. (2007). Rapid erasure of long-term memory associ- ations in the cortex by an inhibitor of PKMz. Science, 317, 951–953. (12)

Shen, H., Gong, Q. H., Aoki, C., Yuan, M., Ruderman, Y., Dattilo, M.,  .  .  .  Smith, S. S. (2007). Reversal of neurosteroid effects at alpha 4 beta 2 delta GABAA receptors trig- gers anxiety at puberty. Nature Neuroscience, 10, 469–477. (11)

Shenhav, A., & Greene, J. D. (2014). Integrative moral judgment: Dissociating the roles of the amygdala and ventromedial prefron- tal cortex. Journal of Neuroscience, 34, 4741–4749. (11)

Sher, L., Carballo, J. J., Grunebaum, M. F., Burke, A. K., Zalsman, G., Huang, Y.-Y.,  .  .  .  Oquendo, M. A. (2006). A pro- spective study of the association of cerebro- spinal fluid monoamine metabolite levels with lethality of suicide attempts in patients with bipolar disorder. Bipolar Disorders, 8, 543–550. (11)

Sherrington, C. S. (1906). The integrative action of the nervous system (2nd ed.). New York: Scribner’s. New Haven, CT: Yale University Press, 1947. (2)

Sherrington, C. S. (1941). Man on his nature. New York: Macmillan. (2)

Shih, R. A., Belmonte, P. L., & Zandi, P. P. (2004). A review of the evidence from fam- ily, twin and adoption studies for a genetic contribution to adult psychiatric disorders. International Review of Psychiatry, 16, 260–283. (14)

08202_ref_ptg01.indd 553 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

554 REFERENCES

Shima, K., Isoda, M., Mushiake, H., & Tanji, J. (2007). Categorization of behavioural sequences in the prefrontal cortex. Nature, 445, 315–318. (7)

Shimada-Sugimoto, M., Otowa, T., & Hettema, J. M. (2015). Genetics of anxiety disorders: Genetic epidemiological and molecular studies in humans. Psychiatry and Clinical Sciences, 69, 388–401. (11)

Shimojo, S., Kamitani, Y., & Nishida, S. (2001). Afterimage of perceptually filled-in surface. Science, 293, 1677–1680. (5)

Shine, R., Phillips, B., Waye, H., LeMaster, M., & Mason, R. T. (2001). Benefits of female mimicry in snakes. Nature, 414, 267. (9)

Shiv, B., Loewenstein, G., Bechara, A., Damasio, H., & Damasio, A. R. (2005). Investment behavior and the negative side of emotion. Psychological Science, 16, 435–439. (11)

Shohamy, D. (2011). Learning and motivation in the human striatum. Current Opinion in Neurobiology, 21, 408–414. (12)

Shohamy, D., Myers, C. E., Kalanithi, J., & Gluck, M. A. (2008). Basal ganglia and dopa- mine contributions to probabilistic category learning. Neuroscience and Biobehavioral Reviews, 32, 219–236. (12)

Shoulson, I. (1990). Huntington’s dis- ease: Cognitive and psychiatric features. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 3, 15–22. (7)

Shrager, Y., Levy, D. A., Hopkins, R. O., & Squire, L. R. (2008). Working memory and the organization of brain systems. Journal of Neuroscience, 28, 4818–4822. (12)

Shulman, E. P. (2014). Deciding in the dark: Differences in intuitive risk judgment. Developmental Psychology, 50, 167–177. (4)

Shutts, D. (1982). Lobotomy: Resort to the knife. New York: Van Nostrand Reinhold. (3)

Siegel, C. S., Fink, K. L., Strittmatter, S. M., & Cafferty, W. B. J. (2015). Plasticity of intact rebral projections mediates spontane- ous recovery of function after corticospinal tract injury. Journal of Neuroscience, 35, 1443–1457. (4)

Siegel, J. M. (1995). Phylogeny and the function of REM sleep. Behavioural Brain Research, 69, 29–34. (8)

Siegel, J. M. (2009). Sleep viewed as a state of adaptive inactivity. Nature Reviews Neuroscience, 10, 747–753. (8)

Siegel, J. M. (2012). Suppression of sleep for mating. Science, 337, 1610–1611. (8)

Siegel, S. (1977). Morphine tolerance as an associative process. Journal of Experimental Psychology: Animal Behavior Processes, 3, 1–13. (14)

Siegel, S. (1983). Classical conditioning, drug tolerance, and drug dependence. Research Advances in Alcohol and Drug Problems, 9, 279–314. (14)

Siegel, S. (1987). Alcohol and opiate depen- dence: Reevaluation of the Victorian per- spective. Research Advances in Alcohol and Drug Problems, 9, 279–314. (14)

Silber, B. Y., & Schmitt, J. A. J. (2010). Effects of tryptophan loading on human cogni- tion, mood, and sleep. Neuroscience and Biobehavioral Reviews, 34, 387–407. (9)

Silbersweig, D. A., Stern, E., Frith, C., Cahill, C., Holmes, A., Grootoonk, S., . . . Frackowiak, R. S. J. (1995). A functional neuroanatomy of hallucinations in schizophrenia. Nature, 378, 176–179. (14)

Silk, J. B., Brosnan, S. F., Vonk, J., Henrich, J., Povinelli, D. J., Richardson, A. S.,  .  .  .  Schapiro, S. J. (2005). Chimpanzees are indifferent to the welfare of unrelated group members. Nature, 437, 1357–1359. (1, 13)

Silva, A. J., Zhou, Y., Rogerson, T., Shobe, J., & Balaji, J. (2009). Molecular and cellular approaches to memory allocation in neural circuits. Science, 326, 391–395. (12)

Silva, B. A., Mattucci, C., Krzywkowski, P., Cuozzo, R., Carbonari, L., & Gross, C. T. (2016). The ventromedial hypothalamus mediates predator fear memory. European Journal of Neuroscience, 43, 1431–1439. (9)

Silventoinen, K., Jelenkovic, A., Sund, R., Hur, Y.-M., Yokoyama, Y., Honda, C., . . . Kaprio, J. (2016). Genetic and environmental effects on body mass index from infancy to the onset of adulthood: An individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study. American Journal of Clinical Nutrition, 104, 371–379 (9)

Silver, R. A. (2010). Neuronal arithme- tic. Nature Reviews Neuroscience, 11, 474–489. (2)

Silvers, J. A., Lumian, D. S., Gabard- Durnam, L., Gee, D. G., Goff, B., Fareri, D. S.,  .  .  .  Tottenham, N. (2016). Previous institutionalization is followed by broader amygdala-hippocampal-PFC network con- nectivity during aversive learning in human development. Journal of Neuroscience, 36, 6420–6430. (11)

Simner, J., & Ward, J. (2006). The taste of words on the tip of the tongue. Nature, 444, 438. (6)

Simon, B., Fletcher, J. A., & Doebeli, M. (2013). Towards a general theory of group selection. Evolution, 67, 1561–1572. (4)

Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016). Do “brain-training” programs work? Psychological Science in the Public Interest, 17, 103–186. (4)

Simpson, E. H., Kellendonk, C., & Kandel, E. (2010). A possible role for the striatum in the pathogenesis of the cognitive symptoms of schizophrenia. Neuron, 65, 585–596. (14)

Sincich, L. C., Park, K. F., Wohlgemuth, M. J., & Horton, J. C. (2004). Bypassing V1: A direct geniculate input to area MT. Nature Neuroscience, 7, 1123–1128. (5)

Singer, T., Seymour, B., O’Doherty, J., Kaube, H., Dolan, R. J., & Frith, C. D. (2004).

Empathy for pain involves the affective but not sensory components of pain. Science, 303, 1157–1162. (6)

Singh, S., & Mallick, B. N. (1996). Mild elec- trical stimulation of pontine tegmentum around locus coeruleus reduces rapid eye movement sleep in rats. Neuroscience Research, 24, 227–235. (8)

Siopi, E., Denizet, M., Gabellec, M.-M., deChau- mont, F., Olivo-Marin, J.-C., Guilloux, J.-P.,  .  .  .  Lazarini, F. (2016). Anxiety- and depression-like states lead to pronounced olfactory deficits and impaired adult neuro- genesis in mice. Journal of Neuroscience, 36, 518–531. (14)

Sirigu, A., Grafman, J., Bressler, K., & Sunderland, T. (1991). Multiple representa- tions contribute to body knowledge process- ing. Evidence from a case of autopagnosia. Brain, 114, 629–642. (6)

Sirotin, Y. B., Hillman, E. M. C., Bordier, C., & Das, A. (2009). Spatiotemporal precision and hemodynamic mechanism of optical point spreads in alert primates. Proceedings of the National Academy of Sciences, 106, 18390–18395. (3)

Sjöström, M., Friden, J., & Ekblom, B. (1987). Endurance, what is it? Muscle morphol- ogy after an extremely long distance run. Acta Physiologica Scandinavica, 130, 513–520. (7)

Skinner, M. D., Lahmek, P., Pham, H., & Aubin, H. J. (2014). Disulfiram efficacy in the treat- ment of alcohol dependence: A meta-analy- sis. PLoS One, e87366. (14)

Skitzki, J. J., Chen, Q., Wang, W. C., & Evans, S. S. (2007). Primary immune surveillance: Some like it hot. Journal of Molecular Medicine, 85, 1361–1367. (9)

Skoe, E., & Kraus, N. (2012). A little goes a long way: How the adult brain is shaped by musical training in childhood. Journal of Neuroscience, 32, 11507–11510. (4)

Skorska, M. N., Geniole, S. N., Vrysen, B. M., McCormick, C. M., & Bogaert, A. F. (2015). Facial structure predicts sexual orientation in both men and women. Archives of Sexual Behavior, 44, 1377–1394. (10)

Slavich, G. M., & Cole, S. W. (2013). The emerg- ing field of human social genomics. Clinical Psychological Science, 1, 331–348. (4)

Sloan, D. M., Strauss, M. E., & Wisner, K. L. (2001). Diminished response to pleasant stimuli by depressed women. Journal of Abnormal Psychology, 110, 488–493. (14)

Smith, G. B., Sederberg, A., Elyada, Y. M., Van Hooser, S. D., Kaschube, M., & Fitzpatrick, D. (2015). The development of cortical cir- cuits for motion discrimination. Nature Neuroscience, 18, 252–261. (5)

Smith, G. P. (1998). Pregastric and gastric satiety. In G. P. Smith (Ed.), Satiation: From gut to brain (pp. 10–39). New York: Oxford University Press. (9)

Smith, G. P., & Gibbs, J. (1998). The satiating effects of cholecystokinin and bombesin- like peptides. In G. P. Smith (Ed.), Satiation:

08202_ref_ptg01.indd 554 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 555

From gut to brain (pp. 97–125). New York: Oxford University Press. (9)

Smith, K., Thompson, G. F., & Koster, H. D. (1969). Sweat in schizophrenic patients: Identification of the odorous substance. Science, 166, 398–399. (14)

Smith, K. S., Bucci, D. J., Luikart, B. W., & Mahler, S. V. (2016). DREADDs: Use and application in behavioral neuroscience. Behavioral Neuroscience, 130, 137–155. (3)

Smith, L. T. (1975). The interanimal trans- fer phenomenon: A review. Psychological Bulletin, 81, 1078–1095. (12)

Smith, M. A., Brandt, J., & Shadmehr, R. (2000). Motor disorder in Huntington’s dis- ease begins as a dysfunction in error feed- back control. Nature, 403, 544–549. (7)

Smith, M. E., & Farah, M. J. (2011). Are prescrip- tion stimulants “smart pills”? The epidemiology and cognitive neuroscience of prescription stimulant use by normal healthy individuals. Psychological Science, 137, 717–741. (12)

Smolker, H. R., Depue, B. E., Reineberg, A. E., Orr, J. M., & Banich, M. T. (2015). Individual differences in regional prefrontal gray mat- ter morphometry and fractional anisotropy are associated with different constructs of executive function. Brain Structure & Function, 220, 1291–1306. (3)

Smulders, T. V., Shiflett, M. W., Sperling, A. J., & DeVoogd, T. J. (2000). Seasonal changes in neuron numbers in the hippocampal for- mation of a food-hoarding bird: The black- capped chickadee. Journal of Neurobiology, 44, 414–422. (4)

Snyder, L. H., Grieve, K. L., Brotchie, P., & Andersen, R. A. (1998). Separate body- and world-referenced representations of visual space in parietal cortex. Nature, 394, 887–891. (7)

Sobota, R., Mihara, T., Forrest, A., Featherstone, R. E., & Siegel, S. J. (2015). Oxytocin reduces amygdala activity, increases social inter- actions, and reduces anxiety-like behav- ior irrespective of NMDAR antagonism. Behavioral Neuroscience, 129, 389–398. (13)

Sodersten, P., Bergh, C., Leon, M., & Zandian, M. (2016). Dopamine and anorexia nervosa. Neuroscience and Biobehavioral Reviews, 60, 26–30. (9)

Solms, M. (1997). The neuropsychology of dreams. Mahwah, NJ: Erlbaum. (8)

Solms, M. (2000). Dreaming and REM sleep are controlled by different brain mecha- nisms. Behavioral and Brain Sciences, 23, 843–850. (8)

Solomon, S. G., & Lennie, P. (2007). The machinery of colour vision. Nature Reviews Neuroscience, 8, 276–286. (5)

Solter, A. (2008). A 2-year-old child’s memory of hospitalization during early infancy. Infant and Child Development, 17, 593–605. (12)

Song, H., Stevens, C. F., & Gage, F. H. (2002). Neural stem cells from adult hippocampus develop essential properties of functional CNS neurons. Nature Neuroscience, 5, 438–445. (4)

Song, K., Wang, H., Kamm, G. B., Pohle, J., de Castro Reis, F., Heppenstall, P., Wende, H., & Siemens, J. (2016). The TRPM2 channel is a hypothalamic heat sensor that limits fever and can drive hypothermia. Science, 353, 1393–1398. (9)

Song, Y., Zhu, Q., Li, J., Wang, X., & Liu, J. (2015). Typical and atypical development of functional connectivity in the face network. Journal of Neuroscience, 35, 14624–14635. (5)

Soon, C. S., Brass, M., Heinze, H.-J., & Haynes, J.-D. (2008). Unconscious determinants of free decisions in the human brain. Nature Neuroscience, 11, 543–545. (7)

Sorger, B., Reithler, J., Dahmen, B., & Goebel, R. (2012). A real-time fMRI-based spelling device immediately enabling robust motor- independent communication. Current Biology, 22, 1333–1338. (3)

Southwell, D. G., Froemke, R. C., Alvarez- Buylla, A., Stryker, M. P., & Gandhi, S. P. (2010). Cortical plasticity induced by inhibi- tory neuron transplantation. Science, 327, 1145–1148. (5)

Southwell, D. G., Paaredes, M. F., Galvao, R. P., Jones, D. L., Froemke, R. C., Sebe, J. Y.,  .  .  .  Alvarez-Buylla, A. A. (2012). Intrinsically determined cell death of devel- oping cortical interneurons. Nature, 491, 109–113. (4)

Spalding, K. L., Bergmann, O., Alkass, K., Bernard, S., Salehpour, M., Huttner, H. B., . . . Frisén, J. (2013). Dynamics of hippo- campal neurogenesis in adult humans. Cell, 153, 1219–1227. (4)

Spalding, K. L., Bhardwaj, R. D., Buchholz, B. A., Druid, H., & Frisén, J. (2005). Retrospective birth dating of cells in humans. Cell, 122, 133–143. (4)

Spangler, R., Wittkowski, K. M., Goddard, N. L., Avena, N. M., Hoebel, B. G., & Leibowitz, S. F. (2004). Opiate-like effects of sugar on gene expression in reward areas of the rat brain. Molecular Brain Research, 124, 134–142. (9)

Spearman, C. (1904). “General intelli- gence,” objectively determined and mea- sured. American Journal of Psychology, 15, 201–293. (12)

Speer, N. K., Reynolds, J. R., Swallow, K. M., & Zacks, J. M. (2009). Reading stories acti- vates neural representations of visual and motor experiences. Psychological Science, 20, 989–999. (7)

Spelke, E. S. (2005). Sex differences in intrin- sic aptitude for mathematics and science? American Psychologist, 60, 950–958. (12)

Spencer, R. M. C., Zelaznik, H. N., Diedrichsen, J., & Ivry, R. B. (2003). Disrupted timing of discontinuous but not continuous move- ments by cerebellar lesions. Science, 300, 1437–1439. (7)

Sperandie, I., Chouinard, P. A., & Goodale, M. A. (2012). Retinotopic activity in V1 reflects the perceived and not the retinal size of an afterimage. Nature Neuroscience, 15, 540–542. (5)

Sperry, R. W. (1943). Visuomotor coordina- tion in the newt (Triturus viridescens) after regeneration of the optic nerve. Journal of Comparative Neurology, 79, 33–55. (4)

Sperry, R. W. (1975). In search of psyche. In F. G. Worden, J. P. Swazey, & G. Adelman (Eds.), The neurosciences: Paths of discovery (pp. 425– 434). Cambridge, MA: MIT Press. (4)

Spezio, M. L., Huang, P.-Y. S., Castelli, F., & Adolphs, R. (2007). Amygdala damage impairs eye contact during conversations with real people. Journal of Neuroscience, 27, 3994–3997. (11)

Spiegel, T. A. (1973). Caloric regulation of food intake in man. Journal of Comparative and Physiological Psychology, 84, 24–37. (9)

Spindler, K. A., Sullivan, E. V., Menon, V., Lim, K. O., & Pfefferbaum, A. (1997). Deficits in multiple systems of working memory in schizophrenia. Schizophrenia Research, 27, 1–10. (14)

Spitzer, N. C. (2015). Neurotransmitter switch- ing? No surprise. Neuron, 86, 1131–1144. (2)

Spoletini, I., Cherubini, A., Banfi, G., Rubino, I. A., Peran, P., Caltagirone, C., & Spalletta, G. (2011). Hippocampi, thalami, and accum- bens microstructural damage in schizophre- nia: A volumetry, diffusivity, and neuropsy- chological study. Schizophrenia Bulletin, 37, 118–130. (14)

Spreux-Varoquaux, O., Alvarez, J.-C., Berlin, I., Batista, G., Despierre, P.-G., Gilton, A., & Cremniter, D. (2001). Differential abnor- malities in plasma 5-HIAA and platelet serotonin concentrations in violent suicide attempters. Life Sciences, 69, 647–657. (11)

Spurzheim, J. G. (1908). Phrenology (rev. ed.) Philadelphia: Lippincott. (3)

Squire, L. R. (1992). Memory and the hip- pocampus: A synthesis from findings with rats, monkeys, and humans. Psychological Review, 99, 195–231. (12)

Squires, T. M. (2004). Optimizing the verte- brate vestibular semicircular canal: Could we balance any better? Physical Review Letters, 93, 198106. (6)

Stallen, M., De Dreu, C. K. W., Shalvi, S., Smidts, A., & Sanfey, A. G. (2012). The herding hormone: Oxytocin stimulates in- group conformity. Psychological Science, 23, 1288–1292. (13)

Stalnaker, T. A., Cooch, N. K., & Schoenbaum, G. (2015). What the orbitofrontal cortex does not do. Nature Neuroscience, 18, 620–625. (13)

Stanford, L. R. (1987). Conduction velocity variations minimize conduction time dif- ferences among retinal ganglion cell axons. Science, 238, 358–360. (1)

Starr, C., & Taggart, R. (1989). Biology: The unity and diversity of life. Pacific Grove, CA: Brooks/Cole. (2, 3, 7, 10)

Steele, C. J., Bailey, J. A., Zatorre, R. J., & Penhune, V. B. (2013). Early musical train- ing and white-matter plasticity in the corpus callosum: Evidence for a sensitive period. Journal of Neuroscience, 33, 1282–1290. (4)

08202_ref_ptg01.indd 555 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

556 REFERENCES

Steffens, B. (2007). Ibn al-Haytham: First Scientist. Greensboro, NC: Morgan Reynolds Publishing. (5)

Stein, B. E., Stanford, T. R., & Rowland, B. A. (2014). Development of multisensory inte- gration from the perspective of the individ- ual neuron. Nature Reviews Neuroscience, 15, 520–535. (3)

Stein, M. B., Hanna, C., Koverola, C., Torchia, M., & McClarty, B. (1997). Structural brain changes in PTSD. Annals of the New York Academy of Sciences, 821, 76–82. (11)

Stein, T., Reeder, R. R., & Peelen, M. V. (2016). Privileged access to awareness for faces and objects of expertise. Journal of Experimental Psychology—Human Perception and Performance, 42, 788–798. (13)

Steinberg, L. (2013). The influence of neurosci- ence on U.S. Supreme Court decisions about adolescents’ criminal culpability. Nature Reviews Neuroscience, 14, 513–518. (4)

Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay dis- counting. Child Development, 80, 28–44. (4)

Steinecke, A., Gampe, C., Valkova, C., Kaether, C., & Bolz, J. (2012). Disrupted- in-schizophrenia 1 (DISC1) is necessary for the correct migration of cortical interneurons. Journal of Neuroscience, 32, 738–745. (14)

Steinert, C., Hofmann, M., Kruse, J., & Leichsenring, F. (2014). Relapse rates after psychotherapy for depression—stable long term effects? Journal of Affective Disorders, 168, 107–118. (14)

Stellar, J. E., Cohen, A., Oveis, C., & Keltner, D. (2015). Affective and physiological responses to the suffering of others: Compassion and vagal activity. Journal of Personality and Social Psychology, 108, 572–585. (11)

Stensola, H., Stensola, T., Solstad, T., Frøland, K., Moser, M.-B., & Moser, E. I. (2012). The entorhinal grid map is discretized. Nature, 492, 72–78. (12)

Stephens, T. W., Basinski, M., Bristow, P. K., Bue-Valleskey, J. M., Burgett, S. G., Craft, L., . . . Heiman, M. (1995). The role of neuro- peptide Y in the antiobesity action of the obese gene product. Nature, 377, 530–532. (9)

Sterling, P. (2012). Allostasis: A model of pre- dictive regulation. Physiology & Behavior, 106, 5–15. (9)

Sterpenich, V., D’Argembeau, A., Desseiles, M., Balteau, E., Albouy, G., Vandewalle, G.,  .  .  .  Maquet, P. (2006). The locus ceru- leus is involved in the successful retrieval of emotional memories in humans. Journal of Neuroscience, 26, 7416–7423. (8)

Stevens, C. F. (2001). An evolutionary scaling law for the primate visual system and its basis in cortical function. Nature, 411, 193–195. (5)

Stevens, M., & Cuthill, I. C. (2007). Hidden messages: Are ultraviolet signals a spe- cial channel in avian communication? Bioscience, 57, 501–507. (5)

Stevenson, R. J., Hodgson, D., Oaten, M. J., Moussavi, M., Langberg, R., Case, T. I., &

Barouei, J. (2012). Disgust elevates core body temperature and up-regulates certain oral immune markers. Brain Behavior and Immunity, 26, 1160–1168. (11)

Stevenson, R. J. (2014). Flavor binding: Its nature and cause. Psychological Bulletin, 140, 487–510. (3)

Stevenson, R. J., Miller, L. A., & McGrillen, K. (2013). The lateralization of gustatory function and the flow of information from tongue to cortex. Neuropsychologia, 51, 1408–1416. (6, 13)

Stewart, J. W., Quitkin, F. M., McGrath, P. J., Amsterdam, J., Fava, M., Fawcett, J.,  .  .  .  Roback, P. (1998). Use of pattern analysis to predict differential relapse of remitted patients with major depression during 1 year of treatment with fluoxetine or placebo. Archives of General Psychiatry, 55, 334–343. (14)

Stice, E., & Yokum, S. (2016). Gain in body fat is associated with increased striatal response to palatable food cues, whereas body fat stability is associated with decreased stria- tal response. Journal of Neuroscience, 36, 6949–6956. (9)

Stickgold, R., Malia, A., Maguire, D., Roddenberry, D., & O’Connor, M. (2000). Replaying the game: Hypnagogic images in normals and amnesics. Science, 290, 350– 353. (12)

Stillman, P., Van Bavel, J., & Cunningham, W. (2015). Valence asymmetries in the human amygdala: Task relevance modulates amyg- dala responses to positive more than neg- ative affective cues. Journal of Cognitive Neuroscience, 27, 842–851. (11)

Stokes, M., Thompson, R., Cusack, R., & Duncan, J. (2009). Top-down activation of shape-specific population codes in visual cortex during mental imagery. Journal of Neuroscience, 29, 1565–1572. (5)

Stolzenberg, D. S., & Champagne, F. A. (2016). Hormonal and non-hormonal bases of maternal behavior: The role of experience and epigenetic mechanisms. Hormones and Behavior, 77, 204–210. (10)

Storey, A. E., & Ziegler, T. E. (2016). Primate paternal care: Interactions between biol- ogy and social experience. Hormones and Behavior, 77, 260–271. (10)

Storey, K. B., & Storey, J. M. (1999, May/ June). Lifestyles of the cold and frozen. The Sciences, 39(3), 33–37. (9)

Stough, C., & Pase, M. P. (2015). Improving cog- nition in the elderly with nutritional supple- ments. Current Directions in Psychological Science, 24, 177–183. (12)

Stricker, E. M. (1969). Osmoregulation and vol- ume regulation in rats: Inhibition of hypo- volemic thirst by water. American Journal of Physiology, 217, 98–105. (9)

Stricker, E. M., Swerdloff, A. F., & Zigmond, M. J. (1978). Intrahypothalamic injections of kainic acid produce feeding and drink- ing deficits in rats. Brain Research, 158, 470–473. (9)

Striemer, C. L., Chapman, C. S., & Goodale, M. A. (2009). “Real-time” obstacle avoidance in the absence of primary visual cortex. Proceedings of the National Academy of Sciences (U.S.A.), 106, 15996–16001. (5)

Stroebele, N., de Castro, J. M., Stuht, J., Catenacci, V., Wyatt, H. R., & Hill, J. O. (2008). A small-changes approach reduces energy intake in free-living humans. Journal of the American College of Nutrition, 28, 63–68. (9)

Strotmann, J., Levai, O., Fleischer, J., Schwarzenbacher, K., & Breer, H. (2004). Olfactory receptor proteins in axonal pro- cesses of chemosensory neurons. Journal of Neuroscience, 224, 7754–7761. (6)

Struder, B., Manes, F., Humphreys, G., Robbins, T. W., & Clark, L. (2015). Risk-sensitive decision-making in patients with posterior parietal and ventromedial prefrontal cortex injury. Cerebral Cortex, 25, 1–9. (13)

Stryker, M. P., & Sherk, H. (1975). Modification of cortical orientation selectivity in the cat by restricted visual experience: A reexami- nation. Science, 190, 904–906. (5)

Stryker, M. P., Sherk, H., Leventhal, A. G., & Hirsch, H. V. B. (1978). Physiological consequences for the cat’s visual cortex of effectively restricting early visual expe- rience with oriented contours. Journal of Neurophysiology, 41, 896–909. (5)

Stuber, G. D., & Wise, R. A. (2016). Lateral hypothalamic circuits for feeding and reward. Nature Neuroscience, 19, 198–205. (9)

Sturm, V. E., Ascher, E. A., Miller, B. L., & Levenson, R. W. (2008). Diminished self- conscious emotional responding in fron- totemporal lobar degeneration patients. Emotion, 8, 861–869. (13)

Stuss, D. T., & Benson, D. F. (1984). Neuropsychological studies of the frontal lobes. Psychological Bulletin, 95, 3–28. (3)

Su, J., van Boxtel, J. J. A., & Lu, H. (2016). Social interactions receive priority to conscious per- ception. PLoS One, 11, article e0160468. (13)

Suez, J., Korem, T., Zeevi, D., Zilberman- Schapira, G., Thais, C. A., Maza, O., . . . Elinav, E. (2014). Artificial sweeteners induce glucose intolerance by altering the gut microbiota. Nature, 514, 181–186. (9)

Sugamura, G., & Higuchi, R. (2015). Do we feel afraid because we tremble?: The effect of physical coldness on feelings of fear. Poster at the International Convention of Psychological Science, Amsterdam, March 13, 2015. (11)

Sun, Y.-G., Zhao, Z.-Q., Meng, X.-L., Yin, J., Liu, X.-Y., & Chen, Z. F. (2009). Cellular basis of itch sensation. Science, 325, 1531– 1534. (6)

Sur, M., & Leamey, C. A. (2001). Development and plasticity of cortical areas and networks. Nature Reviews Neuroscience, 2, 251–262. (5)

Surén, P., Roth, C., Bresnahan, M., Haugen, M., Hornig, M., Hirtz, D.,  .  .  .  Stoltenberg, C., (2013). Association between maternal use of folic acid supplements and risk of autism

08202_ref_ptg01.indd 556 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 557

spectrum disorders in children. Journal of the American Medical Association, 309, 570–577. (14)

Sutterland, A. L., Fond, G., Kuin, A., Koeter, M. W. J., Lutter, R., van Gool, T., . . . de Haan, L. (2015). Beyond the association. Toxoplasma gondii in schizophrenia, bipolar disorder, and addiction: Systematic review and meta- analysis. Psychiatrica Scandinavica, 132, 161–179. (14)

Sutton, A. K., Pei, H., Burnett, K. H., Myers, M. G. Jr., Rhodes, C. J., & Olson, D. P. (2014). Control of food intake and energy expendi- ture by Nos1 neurons of the paraventricular hypothalamus. Journal of Neuroscience, 34, 15306–15318. (9)

Sutton, L. C., Lea, E., Will, M. J., Schwartz, B. A., Hartley, C. E., Poole, J. C.,  .  .  . Maier, S. F. (1997). Inescapable shock-induced poten- tiation of morphine analgesia. Behavioral Neuroscience, 111, 1105–1113. (6)

Sutton, R. L., Hovda, D. A., & Feeney, D. M. (1989). Amphetamine accelerates recovery of locomotor function following bilateral frontal cortex ablation in rats. Behavioral Neuroscience, 103, 837–841. (4)

Suzdak, P. D., Glowa, J. R., Crawley, J. N., Schwartz, R. D., Skolnick, P., & Paul, S. M. (1986). A selective imidazobenzodiazepine antagonist of ethanol in the rat. Science, 234, 1243–1247. (11)

Swaab, D. F., & Hofman, M. A. (1990). An enlarged suprachiasmatic nucleus in homo- sexual men. Brain Research, 537, 141–148. (10)

Swan, S. H., Liu, F., Hines, M., Kruse, R. L., Wang, C., Redmon, J. B., . . . Weiss, B. (2010). Prenatal phthalate exposure and reduced masculine play in boys. International Journal of Andrology, 33, 259–269. (10)

Sweeney, J. A., Rosano, C., Berman, R. A., & Luna, B. (2001). Inhibitory control of atten- tion declines more than working memory during normal aging. Neurobiology of Aging, 22, 39–47. (7)

Swoboda, H., Amering, M., Windhaber, J., & Katschnig, H. (2003). The long-term course of panic disorder—An 11 year follow-up. Journal of Anxiety Disorders, 17, 223–232. (11)

Sztainberg, Y., & Zoghbi, H. Y. (2016). Lessons learned from studying syndromic autism spectrum disorders. Nature Neuroscience, 19, 1408–1417. (14)

Tabarean, I. V., Sanchez-Alavez, M., & Sethi, J. (2012). Mechanisms of H-2 histamine recep- tor dependent modulation of body tem- perature and neuronal activity in the medial preoptic nucleus. Neuropharmacology, 63, 171–180. (9)

Tabarés-Seisdedos, R., & Rubenstein, J. L. (2013). Inverse cancer comorbidity: A serendipitous opportunity to gain insight into CNS disorders. Nature Reviews Neuroscience, 14, 293–304. (14)

Taber-Thomas, B. C., Asp, E. W., Koenigs, M., Sutterer, M., Anderson, S. W., & Tranel, D. (2014). Arrested development: Early prefrontal

lesions impair the maturation of moral judg- ment. Brain, 137, 1254–1261. (11)

Tabrizi, S. J., Cleeter, M. W. J., Xuereb, J., Taanman, J.-W., Cooper, J. M., & Schapira, A. H. V. (1999). Biochemical abnormalities and excitotoxicity in Huntington’s disease brain. Annals of Neurology, 45, 25–32. (7)

Taddese, A., Nah, S. Y., & McCleskey, E. W. (1995). Selective opioid inhibition of small nociceptive neurons. Science, 270, 1366–1369. (6)

Tagawa, Y., Kanold, P. O., Majdan, M., & Shatz, C. J. (2005). Multiple periods of functional ocular dominance plasticity in mouse visual cortex. Nature Neuroscience, 8, 380–388. (5)

Tager-Flusberg, H., Boshart, J., & Baron- Cohen, S. (1998). Reading the windows to the soul: Evidence of domain-specific sparing in Williams syndrome. Journal of Cognitive Neuroscience, 10, 631–639. (13)

Tagliazucchi, E., Roseman, L., Kaelen, M., Orban, C., Muthukumaraswamy, S. D., Murphy, K., Laufs, H., . . . Carhart-Harris, R. (2016). Increased global functional connec- tivity correlates with LSD-induced ego dis- solution. Current Biology, 26, 1043–1050. (2)

Tai, L.-H., Lee, A. M., Benavidez, N., Bonci, A., & Wilbrecht, L. (2012). Transient stimulation of distinct subpopulations of striatal neu- rons mimics changes in action value. Nature Neuroscience, 15, 1281–1289. (7)

Taillard, J., Philip, P., Coste, O., Sagaspe, P., & Bioulac, B. (2003). The circadian and homeostatic modulation of sleep pressure during wakefulness differs between morn- ing and evening chronotypes. Journal of Sleep Research, 12, 275–282. (8)

Takano, T., Tian, G.-F., Peng, W., Lou, N., Libionka, W., Han, X., & Nedergaard, M. (2006). Astrocyte-mediated control of cere- bral blood flow. Nature Neuroscience, 9, 260–267. (1)

Takehara-Nishiuchi, K., & McNaughton, B. L. (2008). Spontaneous changes of neocortical code for associative memory during consoli- dation. Science, 322, 960–963. (12)

Takemura, H., Ashida, H., Amano, K., Kitaoka, A., & Murakami, I. (2012). Neural corre- lates of induced motion perception in the human brain. Journal of Neuroscience, 32, 14344–14354. (5)

Takeuchi, T., Duszkiewicz, A. J., Sonneborn, A., Spooner, P. A., Yamasaki, M., Watanabe, M., . . . Morris, R. G. M. (2016). Locus coeru- leus and dopaminergic consolidation of every- day memory. Nature, 537, 357–362. (12)

Tamietto, M., Castelli, L., Vighetti, S., Perozzo, P., Geminiani, G., Weiskrantz, L., & de Gelder, B. (2009). Unseen facial and bodily expressions trigger fast emotional reactions. Proceedings of the National Academy of Sciences (U.S.A.), 106, 17661–17666. (5)

Tanaka, J., Hayashi, Y., Nomura, S., Miyakubo, H., Okumura, T., & Sakamaki, K. (2001). Angiotensinergic and noradrenergic mecha- nisms in the hypothalamic paraventricular nucleus participate in the drinking response

induced by activation of the subfornical organ in rats. Behavioural Brain Research, 118, 117–122. (9)

Tanaka, J., Hori, K., & Nomura, M. (2001). Dipsogenic response induced by angioten- sinergic pathways from the lateral hypotha- lamic area to the subfornical organ in rats. Behavioural Brain Research, 118, 111–116. (9)

Tanaka, M., Nakahara, T., Muranaga, T., Kojima, S., Yasuhara, D., Ueno, H., . . . Inui, A. (2006). Ghrelin concentrations and car- diac vagal tone are decreased after pharma- cologic and cognitive-behavioral treatment in patients with bulimia nervosa. Hormones and Behavior, 50, 261–265. (9)

Tanaka, Y., Kamo, T., Yoshida, M., & Yamadori, A. (1991). “So-called” cortical deafness. Brain, 114, 2385–2401. (6)

Tandon, S., Simon, S. A., & Nicolelis, M. A. L. (2012). Appetitive changes during salt depri- vation are paralleled by widespread neuro- nal adaptations in nucleus accumbens, lateral hypothalamus, and central amygdala. Journal of Neurophysiology, 108, 1089–1105. (9)

Tanji, J., & Shima, K. (1994). Role for supple- mentary motor area cells in planning several movements ahead. Nature, 371, 413–416. (7)

Tanner, C. M., Kamel, F., Ross, G. W., Hoppin, J. A., Goldman, S. M., Korell, M., . . . Langston, J. W. (2011). Rotenone, paraquat, and Parkinson’s disease. Environmental Health Perspectives, 119, 866–872. (7)

Tappy, L., & Lê, K.-A. (2010). Metabolic effects of fructose and the worldwide increase in obesity. Physiological Reviews, 90, 23–46. (9)

Tarampi, M. R., Heydari, N., & Hegarty, M. (2016). A tale of two types of perspective taking: Sex differences in spatial ability. Psychological Science, 27, 1507–1516. (10)

Taravosh-Lahn, K., Bastida, C., & Delville, Y. (2006). Differential responsiveness to fluoxetine during puberty. Behavioral Neuroscience, 120, 1084–1092. (11)

Tattersall, G. J., Andrade, D. V., & Abe, A. S. (2009). Heat exchange from the toucan bill reveals a controllable vascular thermal radiator. Science, 325, 468–470. (9)

Tattersall, G. J., Leite, C. A. C., Sanders, C. E., Cadena, V., Andrade, D. V., Abe, A. S., & Milsom, W. K. (2016). Seasonal reproduc- tive endothermy in tegu lizards. Science Advances, 2, e1500951. (9)

Taub, E., & Berman, A. J. (1968). Movement and learning in the absence of sensory feed- back. In S. J. Freedman (Ed.), The neuro- psychology of spatially oriented behavior (pp. 173–192). Homewood, IL: Dorsey. (4)

Taylor, J. P., Hardy, J., & Fischbeck, K. H. (2002). Toxic proteins in neurodegenerative disease. Science, 296, 1991–1995. (12)

Taylor, M. A. (1969). Sex ratios of newborns: Associated with prepartum and postpartum schizophrenia. Science, 164, 723–721. (14)

Teff, K. L., Elliott, S. S., Tschöp, M., Kieffer, T. J., Rader, D., Heiman, M.,  .  .  .  Havel, P. J. (2004). Dietary fructose reduces cir- culating insulin and leptin, attenuates

08202_ref_ptg01.indd 557 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

558 REFERENCES

postprandial suppression of ghrelin, and increases triglycerides in women. Journal of Clinical Endocrinology & Metabolism, 89, 2963–2972. (9)

Teicher, M. H., Glod, C. A., Magnus, E., Harper, D., Benson, G., Krueger, K., & McGreenery, C. E. (1997). Circadian rest–activity distur- bances in seasonal affective disorder. Archives of General Psychiatry, 54, 124–130. (14)

Teitelbaum, P. (1961). Disturbances in feed- ing and drinking behavior after hypotha- lamic lesions. In M. R. Jones (Ed.), Nebraska Symposia on Motivation 1961 (pp. 39–69). Lincoln: University of Nebraska Press. (9)

Teitelbaum, P., & Epstein, A. N. (1962). The lat- eral hypothalamic syndrome. Psychological Review, 69, 74–90. (9)

Teitelbaum, P., Pellis, V. C., & Pellis, S. M. (1991). Can allied reflexes promote the integration of a robot’s behavior? In J. A. Meyer & S. W. Wilson (Eds.), From animals to animats: Simulation of animal behavior (pp. 97–104). Cambridge, MA: MIT Press/ Bradford Books. (7)

Terburg, D., Aarts, H., & van Honk, J. (2012). Testosterone affects gaze aversion from angry faces outside of conscious awareness. Psychological Science, 23, 459–463. (11)

Terzaghi, M., Sartori, I., Tassi, L., Rustioni, V., Proserpio, P., Lorusso, G., . . . Nobili, L. (2012). Dissociated local arousal states underlying essential features of non-rapid eye movement arousal parasomnia: An intracerebral stereo- electroencephalographic study. Journal of Sleep Research, 21, 502–506. (8)

Tesoriero, C., Codita, A., Zhang, M.-D., Cherninsky, A., Karlsson, H., Grassi- Zucconi, G.,  .  .  .  Kristensson, K. (2016). H1N1 influenza virus induces narcolepsy- like sleep disruption and targets sleep-wake regulatory neurons in mice. Proceedings of the National Academy of Sciences (U.S.A.), 113, E368–E377. (8)

Tetrud, J. W., Langston, J. W., Garbe, P. L., & Ruttenber, A. J. (1989). Mild Parkinsonism in persons exposed to 1-methyl-4-phenyl- 1,2,3,6-tetrahydropyridine (MPTP). Neurology, 39, 1483–1487. (7)

Thalemann, R., Wölfling, K., & Grüsser, S. M. (2007). Specific cue reactivity on computer game-related cues in excessive gamers. Behavioral Neuroscience, 121, 614–618. (14)

Thannickal, T. C., Moore, R. Y., Nienhuis, R., Ramanathan, L., Gulyani, S., Aldrich, M., . . . Siegel, J. M. (2000). Reduced number of hypocretin neurons in human narcolepsy. Neuron, 27, 469–474. (8)

Thase, M. E., Greenhouse, J. B., Frank, E., Reynolds, C. F., III, Pilkonis, P. A., Hurley, K.,  .  .  .  Kupfer, D. J. (1997). Treatment of major depression with psychotherapy or psychotherapy-psychopharmacology com- binations. Archives of General Psychiatry, 54, 1009–1015. (14)

Theunissen, F. E., & Elie, J. E. (2014). Neural processing of natural sounds. Nature Reviews Neuroscience, 15, 355–366. (6)

Theusch, E., Basu, A., & Gitschier, J. (2009). Genome-wide study of families with abso- lute pitch reveals linkage to 8q24.21 and locus heterogeneity. American Journal of Human Genetics, 85, 112–119. (6)

Thier, P., Dicke, P. W., Haas, R., & Barash, S. (2000). Encoding of movement time by pop- ulations of cerebellar Purkinje cells. Nature, 405, 72–76. (7)

Thomas, B. C., Croft, K. E., & Tranel, D. (2011). Harming kin to save strangers: Further evi- dence for abnormally utilitarian moral judg- ments after ventromedial prefrontal dam- age. Journal of Cognitive Neuroscience, 23, 2186–2196. (11)

Thomas, C., Avidan, G., Humphreys, K., Jung, K., Gao, F., & Behrmann, M. (2009). Reduced structural connectivity in ventral visual cortex in congenital prosopagnosia. Nature Neuroscience, 12, 29–31. (5)

Thomas, C., & Baker, C. I. (2013). Teaching an adult brain new tricks: A critical review of evi- dence for training-dependent structural plas- ticity in humans. NeuroImage, 73, 225–236. (4)

Thomson, D. R., Besner, D., & Smilek, D. (2015). A resource-control account of sus- tained attention: Evidence from mind-wan- dering and vigilance paradigms. Perspectives on Psychological Science, 10, 82–96. (13)

Thompson, R. F. (1986). The neurobiology of learning and memory. Science, 233, 941–947. (12)

Thompson, W. F., Marin, M. M., & Stewart, L. (2012). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis. Proceedings of the National Academy of Sciences (U.S.A.), 109, 19027–19032. (6)

Thurman, D. J. (2016). The epidemiology of traumatic brain injury in children and youths: A review of research since 1990. Journal of Child Neurology, 31, 20–27. (4)

Tian, D., Stoppel, J. L., Heynen, A. J., Lindemann, L., Jaeschke, G., Mills, A. A.,  .  .  .  Bear, M. F. (2015). Contribution of mGluR5 to pathophysiology in a mouse model of human chromosome 16p11.2 microdeletion. Nature Neuroscience, 18, 182–184. (14)

Ticku, M. K., & Kulkarni, S. K. (1988). Molecular interactions of ethanol with GABAergic sys- tem and potential of Ro15-4513 as an etha- nol antagonist. Pharmacology Biochemistry and Behavior, 30, 501–510. (11)

Tillman, B., Leveque, Y., Fornoni, L., Abouy, P., & Caclin, A. (2016). Impaired short-term memory for pitch in congenital amusia. Brain Research, 1640, 251–263. (6)

Timms, B. G., Howdeshell, K. L., Barton, L., Richter, C. A., & vom Saal, F. S. (2005). Estrogenic chemicals in plastic and oral con- traceptives disrupt development of the fetal mouse prostate and urethra. Proceedings of the National Academy of Sciences, USA, 102, 7014–7019. (10)

Tinbergen, N. (1951). The study of instinct. Oxford, England: Oxford University Press. (0)

Tinbergen, N. (1973). The search for animal roots of human behavior. In N. Tinbergen (Ed.), The animal in its world (Vol. 2, pp. 161–174). Cambridge, MA: Harvard University Press. (0)

Tingate, T. R., Lugg, D. J., Muller, H. K., Stowe, R. P., & Pierson, D. L. (1997). Antarctic isola- tion: Immune and viral studies. Immunology and Cell Biology, 75, 275–283. (11)

Tiruneh, M. A., Huang, B. S., & Leenen, F. H. H. (2013). Role of angiotensin II type 1 recep- tors in the pressor responses to central sodi- um in rats. Brain Research, 1527, 79–86. (9)

Tishkoff, S. A., Reed, F. A., Ranciaro, A., Voight, B. F., Babbitt, C. C., Silverman, J. S., Deloukas, P. (2007). Convergent adaptation of human lactase persistence in Africa and Europe. Nature Genetics, 39, 31–40. (9)

Tizzano, M., Gulbransen, B. D., Vandenbeuch, A., Clapp, T. R., Herman, J. P., Sibhatu, H. M., . . . Finger, T. E. (2010). Nasal chemosen- sory cells use bitter taste signaling to detect irritants and bacterial signals. Proceedings of the National Academy of Sciences (U.S.A.), 107, 3210–3215. (6)

Tobin, V. A., Hashimoto, H., Wacker, D. W., Takayanagi, Y., Langnaese, K., Caquíneau, C.,  .  .  .  Ludwig, M. (2010). An intrinsic vasopressin system in the olfactory bulb is involved in social recognition. Nature, 464, 413–417. (10)

Tøien, Ø., Blake, J., Edgar, D. M., Grahn, D. A., Heller, H. C., & Barnes, B. M. (2011). Hibernation in black bears: Independence of metabolic suppression from body tempera- ture. Science, 331, 906–909. (8)

Tokizawa, K., Yasuhara, S., Nakamura, M., Uchida, Y., Crawshaw, L. I., & Nagashma, K. (2010). Mild hypohydration induced by exercise in the heat attenuates autonomic thermoregulatory responses to the heat, but not thermal pleasantness in humans. Physiology & Behavior, 100, 340–345. (9)

Tolman, E. C. (1949). There is more than one kind of learning. Psychological Review, 56, 144–155. (12)

Tominaga, M., Caterina, M. J., Malmberg, A. B., Rosen, T. A., Gilbert, H., Skinner, K., . . . Julius, D. (1998). The cloned capsaicin receptor integrates multiple pain-producing stimuli. Neuron, 21, 531–543. (6)

Tomasino, B., & Gremese, M. (2016). The cognitive side of M1. Frontiers in Human Neuroscience, 10, article 298. (7)

Tomson, S. N., Narayan, M., Allen, G. I., & Eagleman, D. M. (2013). Neural networks of colored sequence synesthesia. Journal of Neuroscience, 33, 14098–14106. (6)

Tong, Q., Ye, C.-P., Jones, J. E., Elmquist, J. K., & Lowell, B. B. (2008). Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance. Nature Neuroscience, 11, 998–1000. (9)

Tong, X., Ao, Y., Faas, G. C., Nwaobi, S. E., Xu, J., Haustein, M. D.,  .  .  .  Khakh, B. S. (2014). Astrocyte Kir4.1 ion channel defi- cits contribute to neuronal dysfunction in

08202_ref_ptg01.indd 558 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 559

Huntington’s disease model mice. Nature Neuroscience, 17, 694–703. (7)

Torrey, E. F., Bartko, J. J., & Yolken, R. H. (2012). Toxoplasma gondii and other risk factors for schizophrenia: An update. Schizophrenia Bulletin, 38, 642–647. (14)

Torrey, E. F., Miller, J., Rawlings, R., & Yolken, R. H. (1997). Seasonality of births in schizo- phrenia and bipolar disorder: A review of the literature. Schizophrenia Research, 28, 1–38. (14)

Tosches, M. A., Bucher, D., Vopalensky, P., & Arendt, D. (2014). Melatonin signaling controls circadian swimming behavior in marine zooplankton. Cell, 159, 46–57. (8)

Tost, H., Champagne, F. A., & Meyer-Lindenberg, A. (2015). Environmental influence in the brain, human welfare and mental health. Nature Neuroscience, 18, 1421–1431. (14)

Toufexis, D. (2007). Region- and sex-specific modulation of anxiety behaviours in the rat. Journal of Neuroendocrinology, 19, 461–473. (11)

Tovote, P., Esposito, M. S., Botta, P., Chaudun, F., Fadok, J. P., Markovic, M.,  .  .  .  Lüthi, A. (2016). Midbrain circuits for defensive behaviour. Nature, 534, 206–212. (11)

Townsend, J., Courchesne, E., Covington, J., Westerfield, M., Harris, N. S., Lyden, P.,  .  .  . Press, G. A. (1999). Spatial attention deficits in patients with acquired or devel- opmental cerebellar abnormality. Journal of Neuroscience, 19, 5632–5643. (7)

Tran, P. B., & Miller, R. J. (2003). Chemokine receptors: Signposts to brain development and disease. Nature Reviews Neuroscience, 4, 444–455. (4)

Tranel, D., & Damasio, A. (1993). The covert learning of affective valence does not require structures in hippocampal system or amygdala. Journal of Cognitive Neuroscience, 5, 79–88. (12)

Travaglia, A., Bisaz, R., Sweet, E. S., Blitzer, R. D., & Alberini, C. M. (2016). Infantile amnesia reflects a developmental period for hippocampal learning. Nature Neuroscience, 19, 1225–1233. (12)

Travers, S. P., Pfaffmann, C., & Norgren, R. (1986). Convergence of lingual and pala- tal gustatory neural activity in the nucleus of the solitary tract. Brain Research, 365, 305–320. (6)

Trevena, J. A., & Miller, J. (2002). Cortical movement preparation before and after a conscious decision to move. Consciousness and Cognition, 11, 162–190. (7)

Trimble, M. R., & Thompson, P. J. (1986). Neuropsychological and behavioral sequel- ae of spontaneous seizures. Annals of the New York Academy of Sciences, 462, 284– 292. (14)

Tritsch, N. X., Ding, J. B., & Sabatini, B. L. (2012). Dopaminergic neurons inhibit stria- tal output through non-canonical release of GABA. Nature, 490, 262–266. (2, 7)

Trivers, R. L. (1985). Social evolution. Menlo Park, CA: Benjamin/Cummings. (4)

Trudel, E., & Bourque, C. W. (2010). Central clock excites vasopressin neurons by wak- ing osmosensory afferents during late sleep. Nature Neuroscience, 13, 467–474. (9)

Tsankova, N., Renthal, W., Kumar, A., & Nestler, E. J. (2007). Epigenetic regulation in psychiatric disorders. Nature Reviews Neuroscience, 8, 355–367. (4)

Tsui, W. K., Yang, Y., Cheung, L. K., & Leung, Y. Y. (2016). Distraction osteogenesis as a treatment of obstructive sleep apnea syn- drome. Medicine, 95, e4674. (8)

Tsunematsu, T., Kilduff, T. S., Boyden, E. S., Takahashi, S., & Yamanaka, A. (2011). Acute optogenetic silencing of orexin/hypocretin neurons induces slow-wave sleep in mice. Journal of Neuroscience, 31, 10529–10539. (8)

Tucker, D. M., Luu, P., & Pribram, K. H. (1995). Social and emotional self-regulation. Annals of the New York Academy of Sciences, 769, 213–239. (7)

Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene x socio- economic status interaction on intelligence. Psychological Science, 27, 138–149. (12)

Tunc, B., Solmaz, B., Parker, D., Sattenthwaite, T. D., Elliott, M. A., Calkins, M. E., . . . Verma, R. (2016). Establishing a link between sex- related differences in the structural con- nectome and behaviour. Philosophical Transactions of the Royal Society B, 371, article 20150111. (12)

Turkheimer, E. (2016). Weak genetic explana- tion 20 years later: Reply to Plomin et  al. (2016). Perspectives on Psychological Science, 11, 24–28. (4)

Turner, R. S., & Anderson, M. E. (2005). Context-dependent modulation of move- ment-related discharge in the primate glo- bus pallidus. Journal of Neuroscience, 25, 2965–2976. (7)

Turner, R. S., & Desmurget, M. (2010). Basal ganglia contributions to motor control: A vigorous tutor. Current Opinion in Neurobiology, 20, 704–716. (7)

Turner, T. N., Sharma, K., Oh, E. C., Liu, Y. P., Collins, R. L., . . . Sosa, M. X., . . . Chakravarti, A. (2015). Loss of delta-catenin function in severe autism. Nature, 520, 51–56. (14)

Udry, J. R., & Chantala, K. (2006). Masculinity– femininity predicts sexual orientation in men but not in women. Journal of Biosocial Science, 38, 797–809. (10)

Udry, J. R., & Morris, N. M. (1968). Distribution of coitus in the menstrual cycle. Nature, 220, 593–596. (10)

Uekita, T., & Okaichi, H. (2005). NMDA antag- onist MK-801 does not interfere with the use of spatial representation in a familiar environment. Behavioral Neuroscience, 119, 548–556. (12)

Undurraga, J., & Baldessarini, R. J. (2012). Randomized, placebo-controlled tri- als of antidepressants for acute major depression: Thirty-year meta-analytic review. Neuropsychopharmacology, 37, 851–864. (14)

Unterberg, A. W., Stover, J., Kress, B., & Kiening, K. L. (2004). Edema and brain trauma. Neuroscience, 129, 1021–1029. (4)

Urry, H. L., Nitschke, J. B., Dolski, I., Jackson, D. C., Dalton, K. M., Mueller, C. J., . . . Davidson, R. J. (2004). Making a life worth living: Neural correlates of well-being. Psychological Science, 15, 367–372. (11)

Ursano, R. J., Kessler, R. C., Stein, M. B., Naifeh, J. A., Aliaga, P. A., Fullerton, C. S.,  .  .  .  Heeringa, S. G. (2016). Risk fac- tors, methods, and timing of suicide attempts among U.S. Army soldiers. JAMA Psychiatry, 73, 741–749. (11)

Uslaner, J. M., Tye, S. J., Eddins, D. M., Wang, X. H., Fox, S. V., Savitz, A. T.,  .  .  .  Renger, J. J. (2013). Orexin receptor anatgonists differ from standard sleep drugs by promoting sleep at doses that do not disrupt cognition. Science Translational Medicine, 5, 179ra44. (8)

U.S.–Venezuela Collaborative Research Project. (2004). Venezuelan kindreds reveal that genetic and environmental factors modulate Huntington’s disease age of onset. Proceedings of the National Academy of Sciences, USA, 101, 3498–3503. (7)

Vaishnavi, S., Calhoun, J., & Chatterjee, A. (2001). Binding personal and periper- sonal space: Evidence from tactile extinc- tion. Journal of Cognitive Neuroscience, 13, 181–189. (13)

Vallines, I., & Greenlee, M. W. (2006). Saccadic suppression of retinotopically localized blood oxygen level-dependent responses in human primary visual area V1. Journal of Neuroscience, 26, 5965–5969. (5)

Valzelli, L. (1973). The “isolation syn- drome” in mice. Psychopharmacologia, 31, 305–320. (11)

Valzelli, L. (1980). An approach to neuroana- tomical and neurochemical psychophysiol- ogy. Torino, Italy: C. G. Edizioni Medico Scientifiche. (14)

Valzelli, L., & Bernasconi, S. (1979). Aggressiveness by isolation and brain serotonin turnover changes in different strains of mice. Neuropsychobiology, 5, 129–135. (11)

van Anders, S. M., & Goldey, K. L. (2010). Testosterone and parnering are linked via relationship status for women and “relation- ship orientation” for men. Hormones and Behavior, 58, 820–826. (10)

van Anders, S. M., Hamilton, L. D., & Watson, N. V. (2007). Multiple partners are asso- ciated with higher testosterone in North American men and women. Hormones and Behavior, 51, 454–459. (10)

van Anders, S. M., & Watson, N. V. (2006). Relationship status and testosterone in North American heterosexual and non-heterosexu- al men and women: Cross-sectional and lon- gitudinal data. Psychoneuroendocrinology, 31, 715–723. (10)

van Avesaat, M., Troost, F. J., Ripken, D., Peters, J., Hendriks, H. F. J., & Masclee, A. A. M. (2015). Intraduodenal infusion of

08202_ref_ptg01.indd 559 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

560 REFERENCES

a combination of tastants decreases food intake in humans. American Journal of Clinical Nutrition, 102, 729–735. (9)

Van Cantfort, T. E., Gardner, B. T., & Gardner, R. A. (1989). Developmental trends in replies to Wh-questions by children and chimpan- zees. In R. A. Gardner, B. T. Gardner, & T. E. Van Cantfort (Eds.), Teaching sign language to chimpanzees (pp. 198–239). Albany: State University of New York Press. (13)

van den Bos, W., Rodriguez, C. A., Schweitzer, J. B., & McClure, S. M. (2014). Connectivity strength of dissociable striatal tracts pre- dicts individual differences in temporal discounting. Journal of Neuroscience, 34, 10298–10310. (4)

van den Heuvel, M. P., Mandl, R. C. W., Stam, C. J., Kahn, R. S., & Pol, H. E. H. (2010). Aberrant frontal and temporal complex net- work structure in schizophrenia: A graph theoretical analysis. Journal of Neuroscience, 30, 15915–15926. (14)

van den Pol, A. N. (1999). Hypothalamic hypo- cretin (orexin): Robust innervation of the spinal cord. Journal of Neuroscience, 19, 3171–3182. (9)

Van den Stock, J., De Winter, F.-L., de Gelder, B., Rangarajan, J. R., Cypers, G., Maes, F.,  .  .  .  Vandenbulcke, M. (2015). Impaired recognition of body expressions in the behav- ioral variant of frontotemporal dementia. Neuropsychologia, 75, 496–504. (13)

Van den Stock, J., De Winter, F.-L., de Gelder, B., Rangarajan, J. R., Cypers, G., Maes, F.,  .  .  .  Vandenbulcke, M. (2015). Impaired recognition of body expressions in the behav- ioral variant of frontotemporal dementia. Neuropsychologia, 75, 496–504. (13)

van der Klaauw, A. A., & Farooqi, I. S. (2015). The hunger genes: Pathways to obesity. Cell, 161, 119–132. (9)

van der Kloet, D., Merckelbach, H., Giesbrecht, T., & Lynn, S. J. (2012). Fragmented sleep, fragmented mind: The role of sleep in dissociative symptoms. Perspectives on Psychological Science, 7, 159–175. (8)

van de Rest, O., Wang, Y., Barnes, L. L., Tangney, C., Bennett, D. A., & Morris, M. C. (2016). APOE ε4 and the associations of seafood and long-chain omega-3 fatty acids with cognitive decline. Neurology, 86, 2063–2070. (9)

VanderLaan, D. P., Forrester, D. L., Petterson, L. J., & Vasey, P. L. (2013). The prevalence of Fa’afafine relatives among Samoan gyne- philic men and fa’afafine. Archives of Sexual Behavior, 42, 353–359. (10)

van der Vinne, V., Zerbini, G., Siersema, A., Pieper, A., Merrow, M., Hut, R. A.,  .  .  .  Kantermann, T. (2015). Timing of examinations affects school performance differently in early and late chronotypes. Journal of Biological Rhythms, 30, 53–60. (8)

van der Zwan, Y. G., Janssen, E. H. C. C., Callens, N., Wolffenbuttel, K. P., Cohen-Kettenis, P. T., van den Berg, M.,  .  .  .  Beerendonk, C. (2013). Severity of virilization is associated

with cosmetic appearance and sexual function in women with congenital adrenal hyperpla- sia: A cross-sectional study. Journal of Sexual Medicine, 10, 866–875. (10)

van Erp, T. G. M., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A.,  .  .  .  Turner, J. A. (2016). Subcortical brain volume abnormalities in 2028 indi- viduals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular Psychiatry, 21, 547–553. (14)

van Haren, N. E. M., Schnack, H. G., Koevoets, M. G. J. C., Cahn, W., Pol, H. E. H., & Kahn, R. S. (2016). Trajectories of subcor- tical volume change in schizophrenia: A 5-year follow-up. Schizophrenia Research, 173, 140–145. (14)

van Honk, J., & Schutter, D. J. L. G. (2007). Testosterone reduces conscious detec- tion of signals serving social correction. Psychological Science, 18, 663–667. (10)

van Honk, J., Schutter, D. J., Bos, P. A., Kruijt, A. W., Lentjes, E. G., & Baron-Cohen, S. (2011). Testosterone administration impairs cognitive empathy in women depending on second-to-fourth digit ratio. Proceedings of the National Academy of Sciences (U.S.A.), 108, 3448–3452. (10)

van Ijzendoorn, M. H., & Bakermans-Kranenburg, M. J. (2012). A sniff of trust: Meta-analysis of the effects of intranasal oxytocin administra- tion on face recognition, trust to in-group, and trust to out-group. Psychoneuroendocrinology, 37, 438–443. (13)

van Leeuwen, M., Peper, J. S., van den Berg, S. M., Brouwer, R. M., Pol, H. E. H., Kahn, R. S., & Boomsma, D. I. (2009). A genetic analysis of brain volumes and IQ in children. Intelligence, 37, 181–191. (12)

van Meer, M. P. A., van der Marel, K., Wang, K., Otte, W. M., el Bouazati, S., Roeling, T. A. P., . . . Dijkhuizen, R. M. (2010). Recovery of sensorimotor function after experimental stroke correlates with restoration of resting- state interhemispheric functional activity. Journal of Neuroscience, 30, 3964–3972. (4)

van Praag, H., Kempermann, G., & Gage, F. H. (1999). Running increases cell proliferation and neurogenesis in the adult mouse dentate gyrus. Nature Neuroscience, 2, 266–270. (4)

van Praag, H., Schinder, A. F., Christie, B. R., Toni, N., Palmer, T. D., & Gage, F. H. (2002). Functional neurogenesis in the adult hippo- campus. Nature, 415, 1030–1034. (4)

van Rooij, S. J. H., Kennis, M., Sjouwerman, R., van den Heuvel, M. P., Kahn, R. S., & Geuze, E. (2015). Smaller hippocampal volume as a vulnerability factor for the persistence of post-traumatic stress disorder. Psychological Medicine, 45, 2737–2746. (11)

Van Wanrooij, M. M., & Van Opstal, A. J. (2004). Contribution of head shadow and pinna cues to chronic monaural sound localization. Journal of Neuroscience, 24, 4163–4171. (6)

Van Wanrooij, M. M., & Van Opstal, A. J. (2005). Relearning sound localization with

a new ear. Journal of Neuroscience, 25, 5413–5424. (6)

Van Zoeren, J. G., & Stricker, E. M. (1977). Effects of preoptic, lateral hypothalamic, or dopamine-depleting lesions on behav- ioral thermoregulation in rats exposed to the cold. Journal of Comparative and Physiological Psychology, 91, 989–999. (9)

van Zuijen, T. L., Plakas, A., Maassen, B. A. M., Maurits, N. M., & van der Leij, A. (2013). Infant ERPs separate children at risk of dys- lexia who become good readers from those who become poor readers. Developmental Science, 16, 554–563. (13)

Vargas-Irwin, C. E., Shakhnarovich, G., Yadollahpour, P., Mislow, J. M. K., Black, M. J., & Donoghue, J. P. (2010). Decoding complete reach and grasp actions from local primary motor cortex populations. Journal of Neuroscience, 30, 9659–9669. (7)

Vasey, P. L., & VanderLaan, D. P. (2010). An adaptive cognitive dissociation between willingness to help kin and nonkin in Samoan Fa’afafine. Psychological Science, 21, 292–297. (10)

Vawter, M. P., Evans, S., Choudary, P., Tomita, H., Meador-Woodruff, J., Molnar, M.,  .  .  .  Bunney, W. E. (2004). Gender- specific gene expression in post-mortem human brain. Localization to sex chro- mosomes. Neuropsychopharmacology, 29, 373–384. (10)

Velanova, K., Wheeler, M. E., & Luna, B. (2009). The maturation of task set-relat- ed activation supports late developmental improvements in inhibitory control. Journal of Neuroscience, 29, 12558–12567. (7)

Verhage, M., Maia, A. S., Plomp, J. J., Brussard, A. B., Heeroma, J. H., Vermeer, H., . . . Sudhof, T. C. (2000). Synaptic assem- bly of the brain in the absence of neurotrans- mitter secretion. Science, 287, 864–869. (4)

Veroude, K., Zhang-James, Y., Fernandez- Castillo, N., Bakker, M. J., Cormand, B., & Faraone, S. V. (2016). Genetics of aggressive behavior: An overview. American Journal of Medical Genetics B, 171, 3–43. (11)

Verrey, F., & Beron, J. (1996). Activation and supply of channels and pumps by aldoste- rone. News in Physiological Sciences, 11, 126–133. (9)

Vieland, V. J., Walters, K. A., Lehner, T., Azaro, M., Tobin, K., Huang, Y., & Brzustowicz, L. M. (2014). Revisiting schizophrenia linkage data in the NIMH repository: Reanalysis of regularized data across multiple stud- ies. American Journal of Psychiatry, 171, 350–359. (14)

Villeda, S. A., Luo, J., Mosher, K. I., Zou, B., Britshgi, M., Bieri, G.,  .  .  .  Rando, T. A. (2011). The ageing systemic milieu nega- tively regulates neurogenesis and cognitive function. Nature, 477, 90–94. (4)

Villeda, S. A., Plambeck, K. E., Middeldorp, J., Castellano, J. M., Mosher, K. I., Luo, J.,  .  .  .  Wyss-Coray, T. (2014). Young blood reverses age-related impairments in

08202_ref_ptg01.indd 560 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 561

cognitive function and synaptic plasticity in mice. Nature Medicine, 20, 659–663. (4)

Viñals, X., Moreno, E., Lanfumey, L., Cordomí, A., Pastor, A., de la Torre, R.,  .  .  . Robledo, P. (2015). Cognitive impairment induced by delta9-tetrahydrocannabinol occurs through heteromers between cannabinoid CB1 and serotonin 5-HT2A receptors. PLoS Biology, 13, e1002194. (6)

Virkkunen, M., DeJong, J., Bartko, J., Goodwin, F. K., & Linnoila, M. (1989). Relationship of psy- chobiological variables to recidivism in violent offenders and impulsive fire setters. Archives of General Psychiatry, 46, 600–603. (11)

Virkkunen, M., Eggert, M., Rawlings, R., & Linnoila, M. (1996). A prospective follow-up study of alcoholic violent offenders and fire setters. Archives of General Psychiatry, 53, 523–529. (11)

Virkkunen, M., Nuutila, A., Goodwin, F. K., & Linnoila, M. (1987). Cerebrospinal fluid monoamine metabolite levels in male arson- ists. Archives of General Psychiatry, 44, 241–247. (11)

Visser, E. K., Beersma, G. M., & Daan, S. (1999). Melatonin suppression by light in humans is maximal when the nasal part of the retina is illuminated. Journal of Biological Rhythms, 14, 116–121. (8)

Viswanathan, A., & Freeman, R. D. (2007). Neurometabolic coupling in cerebral cortex reflects synaptic more than spiking activity. Nature Neuroscience, 10, 1308–1312. (3)

Vita, A., De Peri, L., Deste, G., & Sacchetti, E. (2012). Progressive loss of cortical gray matter in schizophrenia: A meta-analysis and meta-regression of longitudinal MRI studies. Translational Psychiatry, 2, Article e190. (14)

Viviani, D., Charlet, A., van den Burg, E., Robinet, C., Hurni, N., Abatis, M., . . . Stoop, R. (2011). Oxytocin selectively gates fear responses through distinct outputs from the central amygdala. Science, 333, 104–107. (11)

Vocci, F. J., Acri, J., & Elkashef, A. (2005). Medication development for addictive dis- orders: The state of the science. American Journal of Psychiatry, 162, 1432–1440. (14)

Volkow, N. D., Koob, G. F., & McLellan, A. T. (2016). Neurobiologic advances from the brain disease model of addiction. New England Journal of Medicine, 374, 363–371. (14)

Volkow, N. D., Wang, G.-J., Telang, F., Fowler, J. S., Logan, J., Childress, A.-R.,  .  .  . Wong, C. (2006). Cocaine cues and dopamine in dorsal striatum: Mechanism of craving in cocaine addiction. Journal of Neuroscience, 26, 6583–6588. (14)

Volman, I., Verlagen, L., den Ouden, H. E. M., Fernández, G., Rijpkema, M., Franke, B., Toni, I., & Roelofs, K. (2013). Reduced serotonin transporter availability decreases prefrontal control of the amygdala. Journal of Neuroscience, 33, 8974–8979. (11)

von Gall, C., Garabette, M. L., Kell, C. A., Frenzel, S., Dehghani, F., Schumm-Draeger,

P. M.,  .  .  .  Stehle, J. H. (2002). Rhythmic gene expression in pituitary depends on heterologous sensitization by the neurohor- mone melatonin. Nature Neuroscience, 5, 234–238. (8)

von Melchner, L., Pallas, S. L., & Sur, M. (2000). Visual behaviour mediated by retinal projec- tions directed to the visual pathway. Nature, 404, 871–876. (4)

Voss, U., Holzmann, R., Hobson, A., Paulus, W., Koppehele-Gossel, J., Klimke, A., & Nitsche, M. A. (2014). Induction of self- awareness in dreams through frontal low current stimulation of gamma activity. Nature Neuroscience, 17, 810–812. (8)

Vrba, E. S. (1998). Multiphasic growth models and the evolution of prolonged growth exem- plified by human brain evolution. Journal of Theoretical Biology, 190, 227–239. (4)

Vuga, M., Fox, N. A., Cohn, J. F., George, C. J., Levenstein, R. M., & Kovacs, M. (2006). Long-term stability of frontal elec- troencephalographic asymmetry in adults with a history of depression and controls. International Journal of Psychophysiology, 59, 107–115. (14)

Vuilleumier, P. (2005). Cognitive science: Staring fear in the face. Nature, 433, 22–23. (11)

Vuoksimaa, E., Panizzon, M. S., Chen, C. H., Fiecas, M., Eyler, L. T., Fennema-Notestine, C.,  .  .  .  Kremen, W. S. (2015). The genetic association between neocortical volume and general cognitive ability is driven by global surface area rather than thickness. Cerebral Cortex, 225, 2127–2137. (12)

Vyadyslav, V. V., & Harris, K. D. (2013). Sleep and the single neuron: The role of global slow oscillations in individual cell rest. Nature Reviews Neuroscience, 14, 443–451. (8)

Vyazovskiy, V. V., Cirelli, C., Pfister-Genskow, M., Faraguna, U., & Tononi, G. (2008). Molecular and electrophysiological evidence for net synaptic potentiation in wake and depression in sleep. Nature Neuroscience, 11, 200–208. (8)

Wager, T. D., & Atlas, L. Y. (2013). How is pain influenced by cognition? Neuroimaging weighs in. Perspectives on Psychological Science, 8, 91–97. (3)

Wager, T. D., & Atlas, L. Y. (2015). The neu- roscience of placebo effects: Connecting context, learning and health. Nature Reviews Neuroscience, 16, 403–418. (6)

Wager, T. D., Scott, D. J., & Zubieta, J.-K. (2007). Placebo effects on human m-opioid activity during pain. Proceedings of the National Academy of Sciences, USA, 104, 11056–11061. (6)

Wagner, A. D., Schacter, D. L., Rotte, M., Koutstaal, W., Maril, A., Dale, A. M., . . . Buckner, R. L. (1998). Building mem- ories: Remembering and forgetting of verbal experiences as predicted by brain activity. Science, 281, 1188–1191. (3)

Wagner, D. D., Boswell, R. G., Kelley, W. M., & Heatherton, T. F. (2012). Inducing negative affect increases the reward value

of appetizing foods in dieters. Journal of Cognitive Neuroscience, 24, 1625–1633. (9)

Wagner, E. L., & Gleeson, T. T. (1997). Postexercise thermoregulatory behavior and recovery from exercise in desert iguanas. Physiology & Behavior, 61, 175–180. (9)

Wagner, U., Gais, S., Haider, H., Verleger, R., & Born, J. (2004). Sleep inspires insight. Nature, 427, 352–355. (8)

Wahl, A. S., Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A.,  .  .  . Schwab, M. E. (2014). Asynchronous therapy restores motor control by rewiring of the rat cor- ticospinal tract after stroke. Science, 344, 1250–1255. (4)

Waisbren, S. R., Brown, M. J., de Sonneville, L. M. J., & Levy, H. L. (1994). Review of neuropsychological functioning in treated phenylketonuria: An information-process- ing approach. Acta Paediatrica, 83(Suppl. 407), 98–103. (4)

Waldherr, M., & Neumann, I. D. (2007). Centrally released oxytocin mediates mating-induced anxiolysis in male rats. Proceedings of the National Academy of Sciences, USA, 104, 16681–16684. (10)

Waldo, M. L. (2015). The frontotemporal dementias. Psychiatric Clinics of North America, 38, 193–209. (13)

Waldvogel, J. A. (1990). The bird’s eye view. American Scientist, 78, 342–353. (5)

Walker, E. F., Savoie, T., & Davis, D. (1994). Neuromotor precursors of schizophrenia. Schizophrenia Bulletin, 20, 441–451. (14)

Wallen, K. (2005). Hormonal influences on sex- ually differentiated behavior in nonhuman primates. Frontiers in Neuroendocrinology, 26, 7–26. (10)

Wallis, J. D. (2012). Cross-species studies of orbitofrontal cortex and value-based deci- sion-making. Nature Neuroscience, 15, 13–19. (3)

Wallman, J., & Pettigrew, J. D. (1985). Conjugate and disjunctive saccades in two avian spe- cies with contrasting oculomotor strategies. Journal of Neuroscience, 5, 1418–1428. (5)

Walsh, T., McClellan, J. M., McCarthy, S. E., Addington, A. M., Pierce, S. B., & Cooper, G. M. (2008). Rare structural variants dis- rupt multiple genes in neurodevelopmental pathways in schizophrenia. Science, 320, 539–543. (14)

Walum, H., Westberg, L., Henningsson, S., Neiderhiser, J. M., Reiss, D., Ige, W.,  .  .  .  Lichtenstein, P. (2008). Genetic variation in the vasopressin receptor 1a gene (AVPR1A) associates with pair-bond- ing behavior in humans. Proceedings of the National Academy of Sciences (U.S.A.), 105, 14153–14156. (10)

Wan, N., & Lin, G. (2016). Parkinson’s disease and pesticides exposure: New findings from a comprehensive study in Nebraska, USA. Journal of Rural Health, 32, 303–313. (7)

Wan, X., Takano, D., Asamizuya, T., Suzuki, C., Ueno, K., Cheng, K.,  .  .  .  Tanaka, K. (2012). Developing intuition: Neural correlates of

08202_ref_ptg01.indd 561 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

562 REFERENCES

cognitive-skill learning in caudate nucleus. Journal of Neuroscience, 32, 17492–17501. (12)

Wang, A., Costello, S., Cockburn, M., Zhang, X., Bronstein, J., & Ritz, B. (2011). Parkinson’s disease risk from ambient exposure to pesti- cides. European Journal of Epidemiology, 26, 547–555. (7)

Wang, A. Y., Miura, K., & Uchida, N. (2013). The dorsomedial striatum encodes net expected return, critical for energizing per- formance vigor. Nature Neuroscience, 16, 639–647. (7)

Wang, C.-H., Tsai, C. L., Tu, K.-C., Muggleton, N. G., Juan, C.-H., & Liang, W. K. (2015). Modulation of brain oscillations dur- ing fundamental visuo-spatial processing: A comparison between female collegiate badminton players and sedentary con- trols. Psychology of Sport and Expertise, 16, 121–129. (5)

Wang, D. O., Kim, S. M., Zhao, Y., Hwang, H., Miura, S. K., Sossin, W. S., & Martin, K. C. (2009). Synapse- and stimulus-specific local translation during long-term neuronal plas- ticity. Science, 324, 1536–1540. (12)

Wang, H., Goehring, A., Wang, K. H., Penmatsa, A., Ressler, R., & Gouaux, E. (2013). Structural basis for action by diverse antidepressants on biogenic amine trans- porters. Nature, 503, 141–145. (14)

Wang, J., Qin, W., Liu, F., Liu, B., Zhou, Y., Jiang, T., & Yu, C. (2016). Sex-specific medi- ation effect of the right fusiform face area volume on the association between variants in repeat length of AVPR1A RS3 and altruis- tic behavior in healthy adults. Human Brain Mapping, 37, 2700–2709. (10)

Wang, Q., Schoenlein, R. W., Peteanu, L. A., Mathies, R. A., & Shank, C. V. (1994). Vibrationally coherent photochemistry in the femtosecond primary event of vision. Science, 266, 422–424. (5)

Wang, S., Tudusciuc, O., Mamelak, A. N., Ross, I. B., Adolphs, R., & Rutishauer, U. (2014). Neurons in the human amygdala selective for perceived emotion. Proceedings of the National Academy of Sciences (U.S.A.), 111, E3100–E3119. (11)

Wang, T.-M., Holzhausen, L. C., & Kramer, R. H. (2014). Imaging an optogenetic pH sen- sor reveals that protons mediate lateral inhi- bition in the retina. Nature Neuroscience, 17, 262–268. (2)

Wang, T., Okano, Y., Eisensmith, R., Huang, S. Z., Zeng, Y. T., Lo, W. H. Y., & Woo, S. L. C. (1989). Molecular genetics of phenylketon- uria in Orientals: Linkage disequilibrium between a termination mutation and hap- lotype 4 of the phenylalanine hydroxylase gene. American Journal of Human Genetics, 45, 675–680. (4)

Warach, S. (1995). Mapping brain patho- physiology and higher cortical function with magnetic resonance imaging. The Neuroscientist, 1, 221–235. (3)

Ward, B. W., Dahlhamer, J. M., Galinsky, A. M., & Joestl, S. S. (2014). Sexual orientation and

health among US adults: National Health Interview Survey, 2013. National Health Statistics Reports, 15, 1–10. (10)

Ward, I. L., Bennett, A. L., Ward, O. B., Hendricks, S. E., & French, J. A. (1999). Androgen threshold to activate copulation differs in male rats prenatally exposed to alcohol, stress, or both factors. Hormones and Behavior, 36, 129–140. (10)

Ward, I. L., Romeo, R. D., Denning, J. H., & Ward, O. B. (1999). Fetal alcohol exposure blocks full masculinization of the dorsolat- eral nucleus in rat spinal cord. Physiology & Behavior, 66, 571–575. (10)

Ward, I. L., Ward, B., Winn, R. J., & Bielawski, D. (1994). Male and female sexual behavior potential of male rats prenatally exposed to the influence of alcohol, stress, or both factors. Behavioral Neuroscience, 108, 1188–1195. (10)

Ward, I. L., & Ward, O. B. (1985). Sexual behavior differentiation: Effects of prenatal manipulations in rats. In N. Adler, D. Pfaff, & R. W. Goy (Eds.), Handbook of behavioral neurobiology (Vol. 7, pp. 77–98). New York: Plenum Press. (10)

Ward, O. B., Monaghan, E. P., & Ward, I. L. (1986). Naltrexone blocks the effects of prenatal stress on sexual behavior dif- ferentiation in male rats. Pharmacology Biochemistry and Behavior, 25, 573–576. (10)

Ward, O. B., Ward, I. L., Denning, J. H., French, J. A., & Hendricks, S. E. (2002). Postparturitional testosterone surge in male offspring of rats stressed and/or fed etha- nol during late pregnancy. Hormones and Behavior, 41, 229–235. (10)

Warman, G. R., Pawley, M. D. M., Bolton, C., Cheeseman, J. F., Fernando, A. T., Arendt, J., & Wirz-Justice, A. (2011). Circadian-related sleep disorders and sleep medication use in the New Zealand blind population: An observational prevalence study. PLoS One, 322073. (8)

Warren, R. M. (1999). Auditory perception. Cambridge, England: Cambridge University Press. (6)

Watanabe, D., Savion-Lemieux, T., & Penhune, V. B. (2007). The effect of early musical training on adult motor performance: Evidence for a sensitive period in motor learning. Experimental Brain Research, 176, 332–340. (4)

Watanabe, M., & Munoz, D. P. (2010). Presetting basal ganglia for volitional actions. Journal of Neuroscience, 30, 10144–10157. (7)

Watkins, K. E., Shakespeare, T. J., O’Donoghue, M. C., Alexander, I., Ragge, N., Cowey, A., & Bridge, H. (2013). Early auditory pro- cessing in area V5/MT+ of the congeni- tally blind brain. Journal of Neuroscience, 33, 18242–18246. (4)

Watrous, A. J., Tandon, N., Conner, C. R., Pieters, T., & Ekstrom, A. D. (2013). Frequency-specific network connectivity increases underlie accurate spatiotemporal

memory retrieval. Nature Neuroscience, 16, 349–356. (12)

Waxman, S. G., & Ritchie, J. M. (1985). Organization of ion channels in the myelin- ated nerve fiber. Science, 228, 1502–1507. (1)

Weber, F., Chung, S., Beier, K. T., Xu, M., Luo, L., & Dan, Y. (2015). Control of REM sleep by ventral medulla GABAergic neurons. Nature, 526, 435–438. (8)

Weber-Fox, C. M., & Neville, H. J. (1996). Maturational constraints on functional spe- cializations for language processing: ERP and behavioral evidence in bilingual speak- ers. Journal of Cognitive Neuroscience, 8, 231–256. (13)

Weeland, J., Overbeek, G., de Castro, B. O., & Matthys, W. (2015). Underlying mechanisms of gene-environment interactions in exter- nalizing behavior: A systematic review and search for theoretical mechanisms. Clinical Child and Family Psychology Review, 18, 413–442. (11)

Wegener, D., Freiwald, W. A., & Kreiter, A. K. (2004). The influence of sustained selective attention on stimulus selectivity in macaque visual area MT. Journal of Neuroscience, 24, 6106–6114. (13)

Wei, W., Nguyen, L. N., Kessels, H. W., Hagiwara, H., Sisodia, S., & Malinow, R. (2010). Amyloid beta from axons and dendrites reduces local spine number and plasticity. Nature Neuroscience, 13, 190–196. (12)

Wei, Y., Krishnan, G. P., & Bazhenov, M. (2016). Synaptic mechanisms of memory consolidation during sleep slow oscil- lations. Journal of Neuroscience, 36, 4231–4247. (8)

Weidensaul, S. (1999). Living on the wind. New York: North Point Press. (9)

Weinberger, D. R. (1996). On the plausibility of “the neurodevelopmental hypothesis” of schizophrenia. Neuropsychopharmacology, 14, 1S–11S. (14)

Weindl, A. (1973). Neuroendocrine aspects of circumventricular organs. In W. F. Ganong & L. Martini (Eds.), Frontiers in neuroendocri- nology 1973 (pp. 3–32). New York: Oxford University Press. (9)

Weiskrantz, L., Warrington, E. K., Sanders, M. D., & Marshall, J. (1974). Visual capacity in the hemianopic field following a restricted occipital ablation. Brain, 97, 709–728. (5)

Weiss, A. H., Granot, R. Y., & Ahissar, M. (2014). The enigma of dyslexic musicians. Neuropsychologia, 54, 28–40. (13)

Weiss, A. P., Ellis, C. B., Roffman, J. L., Stufflebeam, S., Hamalainen, M. S., Duff, M.,  .  .  .  Schacter, D. L. (2009). Aberrant frontoparietal function during recognition memory in schizophrenia: A multimodal neuroimaging investigation. Journal of Neuroscience, 29, 11347–11359. (14)

Weiss, P. (1924). Die funktion transplanti- erter amphibienextremitäten. Aufstellung einer resonanztheorie der motorischen nerventätigkeit auf grund abstimmter

08202_ref_ptg01.indd 562 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 563

endorgane [The function of transplanted amphibian limbs. Presentation of a reso- nance theory of motor nerve action upon tuned end organs]. Archiv für Mikroskopische Anatomie und Entwicklungsmechanik, 102, 635–672. (4)

Weiss, P. H., & Fink, G. R. (2009). Grapheme- colour synaesthetes show increased grey matter volumes of parietal and fusiform cortex. Brain, 132, 65–70. (6)

Welchman, A. E., Stanley, J., Schomers, M. R., Miall, C., & Bülthoff, H. H. (2010). The quick and the dead: When reaction beats intention. Proceedings of the Royal Society, B, 277, 1667–1674. (7)

Weller, L., Weller, A., Koresh-Kamin, H., & Ben-Shoshan, R. (1999). Menstrual syn- chrony in a sample of working women. Psychoneuroendocrinology, 24, 449–459. (6)

Weller, L., Weller, A., & Roizman, S. (1999). Human menstrual synchrony in families and among close friends: Examining the importance of mutual exposure. Journal of Comparative Psychology, 113, 261–268. (6)

Wenker, S. D., Leal, M. C., Farías, M. I., Zeng, X., & Pitossi, F. J. (2016). Cell therapy for Parkinson’s disease: Functional role of the host immune response on survival and dif- ferentiation of dopaminergic neuroblasts. Brain Research, 1638, Part A, 15–29. (7)

Wenzler, S., Levine, S., van Dick, R., Oertel- Knöckel, V., & Aviezer, H. (2016). Beyond pleasure and pain: Facial expression ambi- guity in adults and children during intense situations. Emotion, 16, 807–814. (11)

Wessinger, C. M., VanMeter, J., Tian, B., Van Lare, J., Pekar, J., & Rauschecker, J. P. (2001). Hierarchical organization of the human auditory cortex revealed by func- tional magnetic resonance imaging. Journal of Cognitive Neuroscience, 13, 1–7. (6)

Weston, L., Hodgekins, J., & Langdon, P. E. (2016). Effectiveness of cognitive behav- ioural therapy with people who have autistic spectrum disorders: A systematic review and meta-analysis. Clinical Psychology Review, 49, 41–54. (14)

Whalen, P. J., Kagan, J., Cook, R. G., Davis, F. C., Kim, H., Polis, S.,  .  .  .  Johnstone, T. (2004). Human amygdala responsivity to masked fearful eye whites. Science, 306, 2061. (11)

Wheeler, M. A., Smith, C. J., Ottolini, M., Barker, B. S., Purohit, A. M., Grippo, R. M., . . . Güler, A. D. (2016). Genetically tar- geted magnetic control of the nervous sys- tem. Nature Neuroscience, 19, 756–761. (3)

Whitesell, J. D., Sorensen, K. A., Jarvie, B. C., Hentges, S. T., & Schoppa, N. E. (2013). Interglomerular lateral inhibition targeted on external tufted cells in the olfactory bulb. Journal of Neuroscience, 33, 1552–1563. (5)

Whitwell, R. L., Milner, A. D., & Goodale, M. A. (2014). The two visual systems hypoth- esis: New challenges and insights from visual form agnostic patient DF. Frontiers in Neurology, 5, article 255. (5)

Wiesel, T. N. (1982). Postnatal development of the visual cortex and the influence of envi- ronment. Nature, 299, 583–591. (5)

Wiesel, T. N., & Hubel, D. H. (1963). Single- cell responses in striate cortex of kittens deprived of vision in one eye. Journal of Neurophysiology, 26, 1003–1017. (5)

Wilczek, F. (2015). A weighty mass difference. Nature, 520, 303–304. (0)

Wilhelm, B. G., Mandad, S., Truckenbrodt, S., Kröhnert, K., Schäfer, C., Rammner, B.,  .  .  .  Rizzoli, S. O. (2014). Composition of isolated synaptic boutons reveals the amounts of vesicle trafficking proteins. Science, 344, 1023–1028. (2)

Willems, R. M., Hagoort, P., & Casasanto, D. (2010). Body-specific representations of action verbs: Neural evidence from right- and left-handers. Psychological Science, 21, 67–74. (13)

Willerman, L., Schultz, R., Rutledge, J. N., & Bigler, E. D. (1991). In vivo brain size and intelligence. Intelligence, 15, 223–228. (12)

Williams, C. L. (1986). A reevaluation of the concept of separable periods of organiza- tional and activational actions of estrogens in development of brain and behavior. Annals of the New York Academy of Sciences, 474, 282–292. (10)

Williams, C. T., Barnes, B. M., Richter, M., & Buck, C. L. (2012). Hibernation and circa- dian rhythms of body temperature in free- living Arctic ground squirrels. Physiological and Biochemical Zoology, 85, 397–404. (8)

Williams, E. F., Pizarro, D., Ariely, D., & Weinberg, J. D. (2016). The Valjean effect: Visceral states and cheating. Emotion, 16, 897–902. (9)

Williams, G., Cai, X. J., Elliott, J. C., & Harrold, J. A. (2004). Anabolic neuropeptides. Physiology & Behavior, 81, 211–222. (9)

Williams, M. T., Davis, H. N., McCrea, A. E., Long, S. J., & Hennessy, M. B. (1999). Changes in the hormonal concentrations of pregnant rats and their fetuses follow- ing multiple exposures to a stressor during the third trimester. Neurotoxicology and Teratology, 21, 403–414. (10)

Williams, R. W., & Herrup, K. (1988). The control of neuron number. Annual Review of Neuroscience, 11, 423–453. (1, 7)

Willingham, D. B., Koroshetz, W. J., & Peterson, E. W. (1996). Motor skills have diverse neural bases: Spared and impaired skill acquisition in Huntington’s disease. Neuropsychology, 10, 315–321. (7)

Wilson, B. A., Baddeley, A. D., & Kapur, N. (1995). Dense amnesia in a professional musician following herpes simplex virus encephalitis. Journal of Clinical and Experimental Neuropsychology, 17, 668– 681. (12)

Wilson, J. D., George, F. W., & Griffin, J. E. (1981). The hormonal control of sexual development. Science, 211, 1278–1284. (10)

Wilson-Mendenhall, C. D., Barrett, L. F., & Barsalou, L. W. (2013). Neural evidence that

human emotions share core affective proper- ties. Psychological Science, 24, 947–956. (11)

Wimmer, R. D., Schmitt, L. I., Davidson, T. J., Nakajima, M., Deisseroth, K., & Halassa, M. M. (2015). Thalamic control of sensory selection in divided attention. Nature, 526, 705–707. (13)

Winder, B., Lievesley, R., Kaul, A., Elliott, H. J., Thorne, K., & Hocken, K. (2014). Preliminary evaluation of the use of phar- macological treatment with convicted sex- ual offenders experiencing high levels of sexual preoccupation, hypersexuality and/ or sexual compulsivity. Journal of Forensic Psychiatry & Psychology, 25, 176–194. (10)

Windle, M., Kogan, S. M., Lee, S., Chen, Y. F., Lei, K. M., Brody, G. H., . . . Yu, T. Y. (2016). Neighborhood X serotonin transporter linked polymorphic region (5_HTTLPR) interactions for substance abuse from ages 10 to 24 years using a harmonized data set of African American children. Development and Psychopathology, 28, 415–431. (14)

Winer, G. A., Cottrell, J. F., Gregg, V., Fournier, J. S., & Bica. L. A. (2002). Fundamentally misunderstanding visual perception: Adults’ belief in visual emissions. American Psychologist, 57, 417–424. (5)

Winfree, A. T. (1983). Impact of a circadi- an clock on the timing of human sleep. American Journal of Physiology, 245, R497– R504. (8)

Winocur, G., & Hasher, L. (1999). Aging and time-of-day effects on cognition in rats. Behavioral Neuroscience, 113, 991–997. (8)

Winocur, G., & Hasher, L. (2004). Age and time-of-day effects on learning and mem- ory in a non-matching-to-sample test. Neurobiology of Aging, 25, 1107–1115. (8)

Winocur, G., Moscovitch, M., & Sekeres, M. (2007). Memory consolidation or transfor- mation: Context manipulation and hippo- campal representations of memory. Nature Neuroscience, 10, 555–557. (12)

Wirdefeldt, K., Gatz, M., Pawitan, Y., & Pedersen, N. L. (2005). Risk and protective factors for Parkinson’s disease: A study in Swedish twins. Annals of Neurology, 57, 27–33. (7)

Wise, R. A. (1996). Addictive drugs and brain stimulation reward. Annual Review of Neuroscience, 19, 319–340. (14)

Wissman, A. M., & Brenowitz, E. A. (2009). The role of neurotrophins in the seasonal- like growth of the avian song control system. Journal of Neuroscience, 29, 6461–6471. (4)

Witelson, S. F., Beresh, H., & Kigar, D. L. (2006). Intelligence and brain size in 100 postmortem brains: Sex, lateralization and age factors. Brain, 129, 386–398. (12)

Witelson, S. F., & Pallie, W. (1973). Left hemi- sphere specialization for language in the newborn: Neuroanatomical evidence of asymmetry. Brain, 96, 641–646. (13)

Witthoft, N., & Winawer, J. (2013). Learning, memory, and synesthesia. Psychological Science, 24, 258–263. (6)

08202_ref_ptg01.indd 563 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

564 REFERENCES

Wokke, M. E., Vandenbroucke, A. R. E., Scholte, H. S., & Lamme, V. A. F. (2013). Confuse your illusion: Feedback to early visual cortex contributes to perceptual com- pletion. Psychological Science, 24, 63–71. (5)

Wohleb, E. S., Franklin, T., Iwata, M., & Duman, R. S. (2016). Integrating neuro- immune systems in the neurobiology of depression. Nature Reviews Neuroscience, 17, 497–511. (14)

Wohlgemuth, M. J., & Moss, C. F. (2016). Midbrain auditory selectivity to natural sounds. Proceedings of the National Academy of Sciences (U.S.A.), 113, 2508–2513. (6)

Wolf, M. E. (2016). Synaptic mechanisms under- lying persistent cocaine craving. Nature Reviews Neuroscience, 17, 351–365. (14)

Wolf, S. (1995). Dogmas that have hindered understanding. Integrative Physiological and Behavioral Science, 30, 3–4. (11)

Wolff, V., Amspach, J.-P., Lauer, V., Rouyer, O., Bataillard, M., Marescaux, C., & Geny, B. (2013). Cannabis-related stroke: Myth or reality? Stroke, 44, 558–563. (4)

Wolkin, A., Rusinek, H., Vaid, G., Arena, L., Lafargue, T., Sanfilipo, M.,  .  .  .  Rotrosen, J. (1998). Structural magnetic resonance image averaging in schizophrenia. American Journal of Psychiatry, 155, 1064–1073. (14)

Wolman, D. (2012). A tale of two halves. Nature, 483, 260–263. (13)

Wolpert, L. (1991). The triumph of the embryo. Oxford, England: Oxford University Press. (4)

Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P.. (2007). Modulation of neuronal interactions through neuronal synchroniza- tion. Science, 316, 1609–1612. (13)

Wong, M., Gnanakumaran, V., & Goldreich, D. (2011). Tactile spatial acuity enhancement in blindness: Evidence for experience-depen- dent mechanisms. Journal of Neuroscience, 31, 7028–7037. (4)

Wong, P. C. M., Skoe, E., Russo, N. M., Dees, T., & Kraus, N. (2007). Musical experi- ence shapes human brainstem encod- ing of linguistic pitch perception. Nature Neuroscience, 10, 420–422. (4)

Wong, L. E., Gibson, M. E., Arnold, H. M., Pepinsky, B., & Frank, E. (2015). Artemin promotes functional long-distance axonal regeneration to the brainstem after dorsal root crush. Proceedings of the National Academy of Sciences (U.S.A.), 112, 6170–6175. (4)

Wong, W. I., Pasterski, V., Hindmarsh, P. C., Geffner, M. E., & Hines, M. (2013). Are there parental socialization effects on the sex- typed behavior of individuals with congeni- tal adrenal hyperplasia? Archives of Sexual Behavior, 42, 381–391. (10)

Wong, Y. K., & Wong, A. C. N. (2014). Absolute pitch memory: Its prevalence among musi- cians and dependence o the testing con- text. Psychonomic Bulletin & Review, 21, 534–542. (6)

Wooding, S., Kim, U., Bamshad, M J., Larsen, J., Jorde, L. B., & Drayna, D. (2004). Natural

selection and molecular evolution in PTC, a bitter-taste receptor gene. American Journal of Human Genetics, 74, 637–646. (4)

Woodson, J. C., & Balleine, B. W. (2002). An assessment of factors contributing to instru- mental performance for sexual reward in the rat. Quarterly Journal of Experimental Psychology, 55B, 75–88. (10)

Woodward, N. D. (2016). The course of neuro- psychological impairment and brain struc- ture abnormalities in psychotic disorders. Neuroscience Research, 102, 39–46. (14)

Woodworth, R. S. (1934). Psychology (3rd ed.). New York: Holt. (1)

Wooley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence fac- tor in the performance of human groups. Science, 330, 686–688. (11)

Woolf, N. J. (1991). Cholinergic systems in mammalian brain and spinal cord. Progress in Neurobiology, 37, 475–524. (3)

Woolf, N. J. (1996). Global and serial neurons form a hierarchically arranged interface pro- posed to underlie memory and cognition. Neuroscience, 74, 625–651. (8)

Workman, J. L., Barha, C. K., & Galea, L. A. M. (2012). Endocrine substrates of cognitive and affective changes during pregnancy and postpartum. Behavioral Neuroscience, 126, 54–72. (10)

Wright, I. C., Rabe-Hesketh, S., Woodruff, P. W. R., David, A. S., Murray, R. M., & Bullmore, E. T. (2000). Meta-analysis of regional brain volumes in schizophrenia. American Journal of Psychiatry, 157, 16–25. (14)

Wright, N. D., Bahrami, B., Johnson, E., DiMalta, G., Rees, G., Frith, C. D., & Dolan, R. J. (2012). Testosterone disrupts human collaboraton by increasing egocentric choic- es. Proceedings of the Royal Society B, 279, 2275–2280. (11)

Wu, L.-Q., & Dickman, J. D. (2012). Neural correlates of a magnetic sense. Science, 336, 1054–1057. (6)

Wulfeck, B., & Bates, E. (1991). Differential sensitivity to errors of agreement and word order in Broca’s aphasia. Journal of Cognitive Neuroscience, 3, 258–272. (13)

Wurtman, J. J. (1985). Neurotransmitter con- trol of carbohydrate consumption. Annals of the New York Academy of Sciences, 443, 145–151. (2)

Wyart, C., Webster, W. W., Chen, J. H., Wilson, S. R., McClary, A., Khan, R. M., & Sobel, N. (2007). Smelling a single component of male sweat alters levels of cortisol in women. Journal of Neuroscience, 27, 1261–1265. (6)

Wyatt, H. R. (2013). Update on treatment strategies for obesity. Journal of Clinical Endocrinology and Metabolism, 98, 1299– 1306. (9)

Wylie, S. A., Claassen, D. O., Huizenga, H. M., Schewel, K. D., Ridderinkhof, K. R., Bashore, T. R., & van den Wildenberg, W. P. M. (2012). Dopamine agonists and the suppression of impulsive motor actions

in Parkinson disease. Journal of Cognitive Neuroscience, 24, 1709–1724. (7)

Wynne, C. D. L. (2004). The perils of anthropo- morphism. Nature, 428, 606. (0)

Wynne, L. C., Tienari, P., Nieminen, P., Sorri, A., Lahti, I., Moring, J.,  .  .  .  Miettunen, J. (2006). Genotype-environment interaction in the schizophrenia spectrum: Genetic liability and global family ratings in the Finnish adoption study. Family Process, 45, 419–434. (14)

Xia, Z., Hoeft, F., Zhang, L., & Shu, H. (2016). Neuroanatomical anomalies of dyslexia: Disambiguating the effects of disorder, performance, and maturation. Neuropsychologia, 81, 68–78. (13)

Xie, J., & Padoa-Schioppa, C. (2016). Neuronal remapping and circuit persistence in eco- nomic decisions. Nature Neuroscience, 19, 855–861. (13)

Xu, H.-T., Pan, F., Yang, G., & Gan, W.-B. (2007). Choice of cranial window type for in vivo imaging affects dendritic spine turn- over in the cortex. Nature Neuroscience, 10, 549–551. (4)

Xu, M., Chung, S., Zhang, S., Zhong, P., Ma, C., Chang, W.-C., . . . Dan, Y. (2015). Basal fore- brain circuit for sleep-wake control. Nature Neuroscience, 18, 1641–1647. (8)

Xu, Y., Padiath, Q. S., Shapiro, R. E., Jones, C. R., Wu, S. C., Saigoh, N., . . . Fu, Y. H. (2005). Functional consequences of a CKI delta mutation causing familial advanced sleep phase syndrome. Nature, 434, 640–644. (8)

Yamaguchi, S., Isejima, H., Matsuo, T., Okura, R., Yagita, K., Kobayashi, M., .  .  . Okamura, H. (2003). Synchronization of cellular clocks in the suprachiasmatic nucleus. Science, 302, 1408–1412. (8)

Yamamoto, T. (1984). Taste responses of corti- cal neurons. Progress in Neurobiology, 23, 273–315. (6)

Yanagisawa, K., Bartoshuk, L. M., Catalanotto, F. A., Karrer, T. A., & Kveton, J. F. (1998). Anesthesia of the chorda tympani nerve and taste phantoms. Physiology & Behavior, 63, 329–335. (6)

Yang, G., Lai, C. S. W., Cichon, J., Ma, L., Li, W., & Gan, W.-B. (2014). Sleep pro- motes branch-specific formation of den- dritic spines after learning. Science, 344, 1173–1178. (8)

Yang, G., Pan, F., & Gan, W.-B. (2009). Stably maintained dendritic spines are associat- ed with lifelong memories. Nature, 462, 920–924. (4)

Yang, G., Wang, Y. Y., Sun, J., Zhang, K., & Liu, J. P. (2016). Ginkgo biloba for mild cogni- tive impairment and Alzheimer’s disease: A systematic review and meta-analysis of randomized controlled trials. Current Topics in Medicinal Chemistry, 16, 520–528. (12)

Yano, H., Baranov, S. V., Baranova, O. V., Kim, J., Pan, Y., Yablonska, S.,  .  .  . Friedlander, R. M. (2014). Inhibition of mitochondrial pro- tein import by mutant huntingtin. Nature Neuroscience, 17, 822–831. (7)

08202_ref_ptg01.indd 564 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

REFERENCES 565

Yehuda, R. (2002). Post-traumatic stress disor- der. New England Journal of Medicine, 346, 108–114. (11)

Yeo, G. S. H., & Heisler, L. K. (2012). Unraveling the brain regulation of appetite: Lessons from genetics. Nature Neuroscience, 15, 1343–1349. (9)

Yeomans, J. S., & Frankland, P. W. (1996). The acoustic startle reflex: Neurons and connections. Brain Research Reviews, 21, 301–314. (11)

Yetish, G., Kaplan, H., Gurven, M., Wood, B., Pontzer, H., Manger, P. R.,  .  .  .  Siegel, J. M. (2015). Natural sleep and its seasonal variations in three pre-industrial societies. Current Biology, 25, 2862–2868. (8)

Yin, H. H., & Knowlton, B. J. (2006). The role of the basal ganglia in habit formation. Nature Reviews Neuroscience, 7, 464–476. (7)

Yolken, R. H., Dickerson, F. B., & Torrey, E. F. (2009). Toxoplasma and schizophrenia. Parasite Immunology, 31, 706–715. (14)

Yoo, S.-S., Hu, P. T., Gujar, N., Jolesz, F. A., & Walker, M. P. (2007). A deficit in the abil- ity to form new human memories without sleep. Nature Neuroscience, 10, 385–392. (8)

Yoon, K. L., Hong, S. W., Joormann, J., & Kang, P. (2009). Perception of facial expressions of emotion during binocular rivalry. Emotion, 9, 172–182. (13)

Yoon, S.-H., & Park, S. (2011). A mechanical analysis of woodpecker drumming and its application to shock-absorbing systems. Bioinspiration and Biomimetics, 6: 016003. (4)

Yoshida, J., & Mori, K. (2007). Odorant cat- egory profile selectivity of olfactory cor- tex neurons. Journal of Neuroscience, 27, 9105–9114. (6)

Yoshida, K., Li, X., Cano, G., Lazarus, M., & Saper, C. B. (2009). Parallel preoptic pathways for thermoregulation. Journal of Neuroscience, 29, 11954–11964. (9)

Yousem, D. M., Maldjian, J. A., Siddiqi, F., Hummel, T., Alsop, D. C., Geckle, R. J.,  .  .  .  Doty, R. L. (1999). Gender effects on odor-stimulated functional magnetic resonance imaging. Brain Research, 818, 480–487. (6)

Yttri, E. A., & Dudman, J. T. (2016). Opponent and bidirectional control of movement velocity in the basal ganglia. Nature, 533, 402–406. (7)

Yu, T. W., & Bargmann, C. I. (2001). Dynamic regulation of axon guidance. Nature Neuroscience Supplement, 4, 1169–1176. (4)

Yuval-Greenberg, S., & Heeger, D. J. (2013). Continuous flash suppression modulates cortical activity in early visual cortex. Journal of Neuroscience, 33, 9635–9643. (13)

Zadra, A., Desautels, A., Petit, D., & Montplaisir, J. (2013). Somnambulism: Clinical aspects and pathophysiological hypotheses. Lancet Neurology, 12, 285–294. (8)

Zadra, A., & Pilon, M. (2008). Polysomnographic diagnosis of sleepwalking: Effects of sleep deprivation. Annals of Neurology, 63, 513– 519. (8)

Zakharenko, S. S., Zablow, L., & Siegelbaum, S. A. (2001). Visualization of changes in presynaptic function during long-term synaptic plasticity. Nature Neuroscience, 4, 711–717. (12)

Zanos, P., Moaddel, R., Morris, P. J., Georgiou, P., Fischell, J., Elmer, G. I.,  .  .  .  Gould, T. D. (2016). NMDAR inhibition-independent antidepressant actions of ketamine metabo- lites. Nature, 533, 481–486. (14)

Zant, J. C., Kim, T., Prokai, L., Szarka, S., McNally, J., McKenna, J. T.,  .  .  . Basheer, R. (2016). Cholinergic neurons in the basal forebrain promote wakefulness by actions on neighboring non-cholinergic neurons: An opto-dialysis study. Journal of Neuroscience, 36, 2057–2067. (8)

Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012). Plasticity in gray and white: Neuroimaging changes in brain structure during learning. Nature Neuroscience, 4, 528–536. (4)

Zeki, S. (1980). The representation of colours in the cerebral cortex. Nature, 284, 412–418. (5)

Zeki, S. (1983). Colour coding in the cerebral cortex: The responses of wavelength-selec- tive and colour-coded cells in monkey visual cortex to changes in wavelength composi- tion. Neuroscience, 9, 767–781. (5)

Zeki, S., & Shipp, S. (1988). The functional logic of cortical connections. Nature, 335, 311–317. (5)

Zentner, M., & Mitura, K. (2012). Stepping out of the caveman’s shadow: Nations’ gender gap predicts degree of sex differentiation in mate preferences. Psychological Science, 23, 1176–1185. (10)

Zerwas, S., Lund, B. C., Von Holle, A., Thornton, L. M., Berrettini, W. H., Brandt, H., . . . Bulik, C. M. (2013). Factors associated with recovery from anorexia nervosa. Journal of Psychiatric Research, 47, 972–979. (9)

Zhang, G., Pizarro, I. V., Swain, G. P., Kang, S. H., & Selzer, M. E. (2014). Neurogenesis in the lamprey central nervous system fol- lowing spinal cord transection. Journal of Comparative Neurology, 522, 1316–1332. (4)

Zhang, J., Ackman, J. B., Xu, H.-P., & Crair, M. C. (2012). Visual map development depends on the temporal pattern of binocular activity in mice. Nature Neuroscience, 15, 298–307. (5)

Zhang, J., Liu, J., & Xu, Y. (2015). Neural decod- ing reveals impaired face configural process- ing in the right fusiform face area of indi- viduals with developmental prosopagnosia. Journal of Neuroscience, 35, 1539–1548. (5)

Zhang, L., Hirano, A., Hsu, P.-K., Jones, C. R., Sakai, N., Okuro, M., . . . Fu, Y.-H. (2016). A PERIOD3 variant causes a circadian pheno- type and is associated with a seasonal mood trait. Proceedings of the National Academy of Sciences (U.S.A.), (8)

Zhang, X., & Firestein, S. (2002). The olfactory receptor gene superfamily of the mouse. Nature Neuroscience, 5, 124–133. (6)

Zhang, Y., Cudmore, R. H., Lin, D. T., Linden, D. J., & Huganir, R. L. (2015). Visualization of NMDA receptor-dependent AMPA

receptor synaptic plasticity in vivo. Nature Neuroscience, 18, 402–407. (12)

Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994). Positional cloning of the mouse obese gene and its human homologue. Nature, 372, 425–432. (9)

Zhan, Y., Paolicelli, R. C., Sforazzini, F., Weinhard, L., Bolasco, G., Pagani, F., . . . Gross, C. T. (2014). Deficient neuron- microglia signaling results in impaired func- tional brain connectivity and social behav- ior. Nature Neuroscience, 17, 400–406. (1)

Zhao, Y., Terry, D., Shi, L., Weinstein, H., Blanchard, S. C., & Javitch, J. A. (2010). Single-molecule dynamics of gating in a neurotransmitter transporter homologue. Nature, 465, 188–193. (2)

Zheng, B., Larkin, D. W., Albrecht, U., Sun, Z. S., Sage, M., Eichele, G.,  .  .  .  Bradley, A. (1999). The mPer2 gene encodes a functional component of the mammalian circadian clock. Nature, 400, 169–173. (8)

Zhou, D., Lebel, C., Lepage, C., Rasmussen, C., Evans, A., Wyper, K., . . . Beaulieu, C. (2011). Developmental cortical thinning in fetal alcohol spectrum disorders. NeuroImage, 58, 16–25. (4)

Zhou, F., Zhu, X. W., Castellani, R. J., Stimmelmayr, R., Perry, G., Smith, M. A., & Drew, K. L. (2001). Hibernation, a model of neuroprotection. American Journal of Pathology, 158, 2145–2151. (8)

Zhu, Q., Zhang, J., Luo, Y. L. L., Dilks, D. D., & Liu, J. (2011). Resting-state neu- ral activity across face-selective cortical regions is behaviorally relevant. Journal of Neuroscience, 31, 10323–10330. (5)

Zhu, Y., Fenik, P., Zhan, G. X., Mazza, E., Kelz, M., Aston-Jones, G., & Veasey, S. C. (2007). Selective loss of catecholaminer- gic wake-active neurons in a murine sleep apnea model. Journal of Neuroscience, 27, 10060–10071. (8)

Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: A psycho- linguistic grain size theory. Psychological Bulletin, 131, 3–29. (13)

Zihl, J., & Heywood, C. A. (2015). The con- tribution of LM to the neuroscience of movement vision. Frontiers in Integrative Neuroscience, 9, article 6. (5)

Zihl, J., von Cramon, D., & Mai, N. (1983). Selective disturbance of movement vision after bilateral brain damage. Brain, 106, 313–340. (5)

Zimmerman, A., Bai, L., & Ginty, D. D. (2014). The gentle touch receptors of mammalian skin. Science, 346, 950–954. (6)

Zimmerman, C. A., Lin, Y.-C., Leib, D. E., Guo, L., Huey, E. L., Daly, G. E., . . . Knight, Z. A. (2016). Thirst neurons anticipate the homeostatic consequences of eating and drinking. Nature, 537, 680–684. (9)

Zipursky, R. B., Reilly, T. J., & Murray, R. M. (2013). The myth of schizophrenia as

08202_ref_ptg01.indd 565 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

566 REFERENCES

a progressive brain disease. Schizophrenia Bulletin, 39, 1363–1372. (14)

Zipser, B. D., Johanson, C. E., Gonzalez, L., Berzin, T. M., Tavares, R., Hulette, C. M.,  .  .  .  Stopa, E. G. (2007). Microvascular injury and blood–brain barrier leakage in Alzheimer’s disease. Neurobiology of Aging, 28, 977–986. (1)

Zola, S. M., Squire, L. R., Teng, E., Stefanacci, L., Buffalo, E. A., & Clark, R. E. (2000). Impaired recognition memory in mon- keys after damage limited to the hippo-

campal region. Journal of Neuroscience, 20, 451–463. (12)

Zorzi, M., Priftis, K., & Umiltà, C. (2002). Neglect disrupts the mental number line. Nature, 417, 138. (13)

Zucker, K. J., Bradley, S. J., Oliver, G., Blake, J., Fleming, S., & Hood, J. (1996). Psychosexual development of women with congeni- tal adrenal hyperplasia. Hormones and Behavior, 30, 300–318. (10)

Zuckerman, L, Rehavi, M., Nachman, R., & Weiner, I. (2003). Immune activation during

pregnancy in rats leads to a post-pubertal emergence of disrupted latent inhibition, dopaminergic hyperfunction, and altered limbic morphology in the offspring: A novel neurodevelopmental model of schizo- phrenia. Neuropsychopharmacology, 28, 1778–1789. (14)

Zurif, E. B. (1980). Language mechanisms: A neuropsychological perspective. American Scientist, 68, 305–311. (13)

08202_ref_ptg01.indd 566 9/14/17 12:13 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

567

Name Index

Aarts, H., 364 Abate, P., 461 Abbott, N. J., 24 Abbott, S. B. G., 299 AbdelMalik, P., 484 Abe, A. S., 290 Abi-Dargham, A., 487 Abouy, P., 195 Abrahamsson, N., 434 Abrams, W., 139 Ackman, J. B., 170 Acri, J., 465 Acuna-Goycolea, C., 310 Adamantidis, A., 283 Adamec, R. E., 362 Adamo, M., 180 Adams, D. B., 330 Adams, H. L., 494 Adams, R. B., Jr., 368, 455 Adcock, R. A., 389 Addis, D. R., 397 Adeeb, N., 493 Adler, M., 472 Adler, N. T., 330 Admon, R., 368 Adolphs, R., 354, 359, 369, 370, 371, 429 Adrien, J., 274 Agarwal, A. F., 321 Agarwal, N., 207 Aghajanian, G. K., 471 Aglioti, S., 141, 448 Agnew, L. L., 470 Agrati, D., 324 Agster, K. L., 398 Aguirre, G. K., 166 Aharon, I., 463 Ahissar, M., 437 Ahlskog, J. E., 312 Ahmed, E. I., 324 Ahmed, I. I., 325 Ahn, W., 459 Airaksinen, M. S., 123 Airan, R. D., 472 Airavaara, M., 251 Ajina, S., 166 Akers, K. G., 392 Al-Karawi, D., 475 Al-Rashid, R. A., 312 Alagiakrishnan, K., 390 Alain, C., 128 Alais, D., 443 Alanko, K., 342, 343 Alberini, C. M., 392 Alberts, J. R., 334 Albouy, G., 283, 402 Albrecht, D. G., 170 Albright, T. D., 181 Albuquerque, D., 314 Alcuter, S., 118 Aleman, A., 481 Alerstam, T., 281 Alexander, G. M., 327 Alexander, J. T., 310 Allaire, J. C., 392 Allan, D., 353 Allebrandt, K. V., 262

Allen, G. I., 221 Allen, H., 447 Allen, H. L., 105 Allen, J. S., 319, 417 Alleva, E., 123, 125 Allison, T., 282 Almazen, M., 433 Almeida, J., 127 Almli, C. R., 312 Almonte, J. L., 379 Alsop, D., 195 Altena, E., 275, 476 Alvarez-Buylla, A. A., 171 Alzmon, G., 132 Aman, J. E., 130 Amano, K., 181 Amanzio, M., 207 Amateau, S. K., 325 Ambady, N., 368 American Psychiatric Association, 480, 492 Amering, M., 371 Ames, M. A., 344 Amiry-Moghaddam, M., 24 Amlaner, C. J., 281 Amting, J. M., 370 An, Y., 392 Anaclet, C., 271, 273 Anand, P., 207 Anastasiya, A., 262 Andersen, J. L., 228 Andersen, R. A., 235 Andersen, T. S., 88 Anderson, C., 343 Anderson, D. J., 191, 310 Anderson, E., 444 Anderson, F., 362 Anderson, M. A., 139 Anderson, M. E., 241 Anderson, S., 196 Anderson, S. F., 469 Andrade, D. V., 290 Andreasen, N. C., 485 Andres, K. H., 200 Andrés-Pueyo, A., 363 Andrew, D., 208 Andrews, S. C., 237 Andrews, T. J., 153 Andrillon, T., 273 Angelucci, A., 124 Ansiau, D., 261 Antenor-Dorsey, J. A., 250 Anthony, T. E., 310 Aoki, C., 19, 493 Aplin, L. C., 260 Apostaolakis, E. M., 328 Applebaum, S., 220 Appleman, E. R., 283 Araneda, R. C., 219 Arango, V., 364 Araque, A., 22 Araripe, L. O., 323 Archer, J., 363 Archer, S. N., 265 Arcurio, L. R., 180 Arduino, C., 207 Arendt, D., 265

Arendt, J., 261 Ariely, D., 311 Armstrong, J. B., 303 Arnold, A. P., 323, 324, 326 Arnold, H. M., 139 Arnsten, A. F. T., 377 Arseneau, L. M., 291 Arun, S. P., 178, 179 Arver, S., 417 Arvidson, K., 211 Asai, M., 310 Åsberg, M., 364 Ascher, E. A., 456 Ascoli, G., 21, 406 Aserinsky, E., 269–270 Asher, B., 359 Ashida, H., 181 Ashley, R., 127 Ashmore, L. J., 265 Asmundson, G. J. G., 365 Assal, G., 429 Aston-Jones, G., 265, 310 Atherton, N. M., 474 Athos, E. A., 195 Atlas, L. Y., 96, 207 Attardo, A., 411 Attwell, D., 136 Atzei, A., 141 Aubin, H.-J., 465 Audero, E., 364 Avena, N. M., 316 Aviezer, H., 357 Avinun, R., 332 Axel, R., 119, 217 Axmacher, N., 443

Babich, F. R., 406 Babikian, T., 136 Babinet, C., 124 Babor, T. F., 461 Bachevalier, J., 367, 398 Backlund, E.-O., 251 Bäckman, J., 281 Baddeley, A. D., 384, 389 Baer, J. S., 461 Bagemihl, B., 342 Baghdoyan, H. A., 274 Bai, L., 200 Bailey, C. H., 408 Bailey, J. A., 128 Bailey, J. M., 342, 343, 344, 348 Bailey, K. G. D., 436 Baird, A. A., 368 Bajo-Grañeras, R., 22 Baker, B. N., 191 Baker, C. I., 129 Baker, G. B., 284 Baker, L., 109 Baker, S. W., 341 Bakermans-Kranenburg, M. J., 455 Bakken, T. E., 153, 418 Bakker, J., 325 Baldessarini, R. J., 471, 472 Bale, T. L., 107 Ball, W. A., 273 Ballard, P. A., 250

08202_nameindex_ptg01.indd 567 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

568 NAME INDEX

Balleine, B. W., 325, 402 Ballon, J. S., 484 Balthazart, J., 325 Banich, M. T., 98 Banks, W. P., 246 Baraas, R. C., 158 Barash, S., 241 Barber, J. R., 187 Barbour, D. L., 192 Bargary, G., 221 Barger, L. K., 259 Barha, C. K., 324 Barnea, G., 219 Barnes, B. M., 281 Barnes, C. M., 262 Barnett, K. J., 221 Baron-Cohen, S., 433 Barr, H. M., 461 Barrett, E. J., 24 Barrett, L. F., 98, 230, 355, 356, 357, 368, 444 Barretto, M., 131, 214 Barrientos, R. M., 132 Barsalou, L. W., 357 Barsh, G. S., 308 Bartel, P., 280 Bartke, A., 325 Bartko, J., 365 Barton, D. A., 471 Barton, L., 325 Bartoshuk, L., 207 Bartoshuk, L. M., 211, 212, 213, 214 Barua, L. A., 398 Barzilai, N., 132 Basbaum, A. I., 55, 208 Bashford, J. A., 164 Baskin, D. G., 308 Basma, A., 250 Bassett, A. S., 484 Basten, U., 416 Bastida, C., 364 Basu, A., 195 Bate, S., 454 Bates, E., 435, 436 Bates, T. C., 417, 418 Battersby, S., 305 Battleday, R. M., 412 Bauer, E. P., 367 Baum, A., 379 Baum, M. J., 325 Bauman, J. M., 132 Bauman, M. D., 493 Baumann, C. R., 93, 240 Bautista, D. M., 201 Baxter, L. R., 476 Baxter, M. G., 132 Bayer, U., 357 Bayley, P. J., 395, 402 Baylis, G. C., 178 Baylor, D. A., 122 Bazhenov, M., 283 Beall, A. T., 330 Bear, M. F., 171 Beaton, E. A., 368 Beauchamp, M. S., 221 Bechara, A., 359, 369 Beck, A. T., 469 Beck, K., 489 Beck, S., 130 Becker, H. C., 373 Becker, H. G. T., 181 Becks, L., 321 Bedny, M., 127 Beebe, D. W., 276 Beeli, G., 221 Beeman, M. J., 429

Beeney, J. E., 455 Beersma, G. M., 264 Beglinger, L. J., 253 Bègue, L., 365 Behrmann, M., 493 Bell, R., 365 Bellini, F., 473 Bellugi, U., 433 Belmonte, P. L., 469 Belsky, D. W., 418 Beltz, A. M., 340 Belvens, M., 214 Ben Achour, S., 22 Ben-Ami Bartal, I., 455 Benavidez, N., 244 Benedetti, F., 207, 474, 475 Bennett, A. L., 344 Bennett, E. L., 125 Benros, M. E., 481 Benschop, R. J., 377 Bensen, A. L., 54 Ben-Shoshan, R., 220 Benson, D. F., 87, 179 Benson, M. D., 390 Berardi, D., 473 Berdoy, M., 367 Berenbaum, S. A., 340 Beresh, H., 417 Bergdahl, J., 372 Bergé, D., 371 Berger, R. J., 280 Berger-Sweeney, J., 118 Bergh, C., 316 Berglund, H., 220 Bergmann, O., 119 Berke, J. D., 236 Berkeley, G., 442 Berken, J. A., 434 Berkhof, J., 468 Berliner, D. L., 220 Berlucchi, G., 141, 427 Berman, A. J., 142 Berman, K. F., 433, 485 Berman, M. E., 461 Berman, M. G., 205 Berman, R. A., 236 Bernal, D., 292 Bernasconi, S., 364 Bernati, T., 447 Berntsen, D., 372 Berntson, G. G., 369 Beron, J., 300 Berridge, K. C., 300 Berrio, A., 332 Berryhill, M. E., 403 Berson, D. M., 264 Besner, D., 447 Beuming, T., 57 Beverly, J. L., 291 Bezzola, L., 129 Bhardwaj, R. D., 119 Bhatia, K. P., 487 Bialystok, E., 434 Bian, L., 314 Bianchi-Demicheli, F., 454 Biben, M., 362 Bica, L. A., 148 Bichot, N. P., 447 Bickhart, K. C., 97 Bidelman, G. M., 128 Bielawski, D., 344 Bienkowski, P., 461 Bierut, L. J., 469 Bigler, E. D., 417 Bilalic, M., 181

Bilkey, D. K., 400 Billington, C. J., 310 Binget, U., 207 Bingman, V. P., 282 Bini, L., 473 Bioulac, B., 262 Bird, A., 104 Birring, S. S., 363 Bisaz, R., 391, 392 Bischofberger, J., 119 Bishop, C. V., 346, 417 Biss, R. K., 262 Bitran, D., 325 Bitsika, V., 470 Bizzi, E., 274 Bjork, J. M., 131 Björklund, A., 251 Björnsdotter, M., 203 Black, J. A., 205 Blackless, M., 339 Blackwell, A., 270, 435 Blake, R., 171, 221 Blakemore, S.-J., 202 Blakeslee, S., 141, 144 Blanchard, R., 344 Blanco, M. B., 281 Blanke, O., 87, 88 Blasko, D. G., 446 Bley, K., 207 Bliss, T. V., 208 Bliss, T. V. P., 408, 411 Bliss-Moreau, E., 355, 368 Blitzer, R. D., 392 Bliwise, D. L, 270, 275 Bloch, G., 281 Bloch, G. J., 325 Blossom-Stach, C., 436 Bobrow, D., 343 Bock, A. S., 171 Boden, J. M., 363 Boder, E., 437 Boehm, S., 58 Boekel, W., 98 Boets, B., 437 Boeve, B. F., 277 Bogaert, A. F., 342, 344 Bogdanov, S., 140 Bohlin, G., 340 Boivin, D. B., 261 Boksem, M. A. S., 364 Boly, M., 273, 457 Bolz, J., 483 Bonath, B., 87 Bonci, A., 244 Bonhoeffer, T., 171 Bonini, F., 236 Bonino, D., 237 Bonneh, Y. S., 442 Bonner, M. F., 192 Bookheimer, S. Y., 395 Booth, F. W., 228 Booth, W., 321 Bordelon, Y., 250 Bordier, C., 95 Borisovska, M., 54 Born, J., 269, 283, 284 Born, S., 214 Boroditsky, L., 448 Borowsky, R. L., 281 Borsutzky, S., 390 Bortolotti, B., 473 Bortz, R., 280 Bos, P. A., 365 Boshart, J., 433 Boswell, R. G., 314

08202_nameindex_ptg01.indd 568 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 569

Bouchard, T. J., Jr., 417 Boucsein, K., 370 Boudin, H., 53 Bourane, S., 208 Bourgeron, T., 492 Bourque, C. W., 298, 299 Bouton, C. E., 233 Boutrel, B., 274, 310 Bouzerda-Wahlen, A., 390 Bower, C., 482 Bowles, C. A., 379 Bowles, S., 113, 114 Bowmaker, J. K., 158 Boyce, R., 283 Boycott, B. B., 162 Boyd, J. D., 139 Boyden, E. S., 273 Boyeson, M. G., 138 Bozkurt, A., 344 Bozkurt, O. H., 344 Braams, B. R., 131 Bradley, M. M., 463 Brainard, D. H., 166 Brakke, K. E., 430 Branch, B. J., 325 Branco, T., 45 Brand, M., 390 Brandfonbrener, A. G., 130 Brandon, J. G., 125 Brandt, F., 354 Brandt, J., 251 Brandt, T., 199 Brans, R. G. H., 132 Brar, S., 173 Brass, M., 246 Braun, A. R., 236, 274 Braunschweig, D., 493 Braus, H., 74 Bravo, E., 443 Bray, G. A., 315 Bredemeier, K., 469 Bredy, T. W., 368 Breedlove, S. M., 123, 324, 346, 348 Breer, H., 219 Breidenbach, W. C., 140 Breiter, H. C., 463 Brem, A.-K, 412 Bremmer, F., 182 Brenowitz, E. A., 119 Brent, H. P., 173 Breslin, P. A., 220 Bressan, P., 484 Bressler, K., 203 Brewer, W. J., 482 Brickman, A. M., 412 Bridge, H., 166, 177 Bridgeman, B., 166 Bridle, C., 474 Briggs, R., 136 Brigman, J. L., 453 Broca, P., 91, 434 Brock, O., 325 Brodin, T., 373 Brody, A. L., 473 Brody, C. D., 452 Bronson, R. T., 332 Bronstein, J., 250 Brook, C. G. D., 340 Brooks, D. C., 274 Brooks, N., 136 Brooks, P. L., 273, 277 Brotchie, P., 235 Brown, A., 139 Brown, A. S., 484

Brown, C. E., 139 Brown, G. C., 22 Brown, G. L., 364 Brown, G. M., 275 Brown, J., 461 Brown, J. R., 332 Brown, K. L., 392 Brown, M. J., 110 Brown, R. W., 139 Brown, T. I., 400, 453 Bruck, M., 179 Brugge, J. F., 191 Brumpton, B., 314 Brunel, N., 22 Bruns, P., 87 Brunton, B. W., 452 Brus, R., 139 Bruss, J., 417 Bryan, A., 464 Bryant, R. A., 371 Bryk, K., 340 Brysbaert, M., 429 Bschor, T., 472 Bubash, S., 406 Bucci, D. J., 93, 125 Bucci, M. P., 236 Buch, E. R., 92 Buchanan, T. W., 370 Büchel, C., 207, 370 Bucher, D., 265 Bucholz, K. K., 119 Buck, C. L., 281 Buck, L., 217 Buck, L. B., 214, 219, 220 Buck, R., 429 Bucy, P. C., 85 Buell, S. J., 118 Buffone, A., 455 Buhle, J. T., 207 Bühren, K., 316 Buizer-Voskamp, J. E., 483 Buka, S. L., 484 Bulbena, A., 371 Bulsara, K. R., 139 Bülthoff, H. H., 244 Bundgaard, M., 24 Bundy, H., 483 Bunney, B. G., 471 Bunney, W. E., 471 Burbridge, T. J., 170 Burdge, G. C., 107 Burgaleta, M., 417 Burgess, N., 400 Burke, D., 344 Burke, T. M., 276 Burkett, J. P., 454 Burman, D. D., 130 Burmeister, M., 469 Burn, P., 308 Burns, C. G., 283 Burns, M. M., 158 Burr, D. C., 182 Burra, N., 370 Burrell, B., 100 Burri, A., 343 Burt, A. D., 330 Burt, S. A., 109, 363 Burton, H., 127 Burwell, R. D., 263 Buschman, T. J., 447 Bushdid, C., 217 Bushnell, M. C., 205 Buss, D. M., 112, 337, 338 Butler, K., 130

Buttolph, T., 125 Byars, J. A., 253 Byl, N. N., 130 Byne, W., 346 Byrne, J. H., 407

Cabanis, E. A., 435 Cabeza, R., 96, 403 Cacioppo, J. T., 369 Caclin, A., 195 Cadden, M., 132 Cade, J. F., 476 Cadenhead, K. S., 484 Cafferty, W. B. J., 139 Cahill, L., 325, 389, 424 Cai, D. J., 283 Cai, H., 310 Cai, Q., 429 Cai, X. J., 310 Cajal, S., 18–19, 18, 42, 119, 408 Calabresi, P., 241 Caldara, R., 180 Calhoun, J., 448 Calipari, E. S., 463 Callaway, E. M., 150, 165, 181 Caltagirone, C., 239 Camargo, L. A. A., 299 Camerer, C., 455 Camerer, C. F., 359 Cameron, N. M., 124 Campbell, L., 418 Campbell, S. S., 282 Camperio-Ciani, A., 343 Campfield, L. A., 308 Campi, K. L., 125 Canal, C. E., 389 Canepari, M., 228 Cannon, J. R., 250 Cannon, W. B., 292, 352, 353, 354 Cano, G., 295 Cantallops, I., 411 Canter, R. G., 391 Canteras, N. S., 367 Cantú, S. M., 330 Capiluppi, C., 343 Cappelletti, M., 330 Caravolas, M., 437 Carbon, M., 487 Cardona-Gómez, G. P., 137 Cardoso, F. L., 342 Carelli, R. M., 463 Carey, D. P., 235, 379 Carleton, R. N., 365 Carlisle, H. J., 292 Carlström, E., 342 Carmena, J. M., 402 Carmichael, J. E., 400 Carpenter, C. J., 338 Carpenter, G. A., 258 Carré, J. M., 364, 365 Carrera, O., 316 Carrier, B., 205 Carrigan, T., 139 Carruth, L. L., 323 Carter, M. E., 310 Carter, V., 217 Carver, C. S., 363 Casali, A. G., 446 Casasanto, D., 436 Cascio, C. J., 493 Case, T. I., 202 Casey, B. J., 131 Cash, S. S., 269 Caspi, A., 363, 459, 469

08202_nameindex_ptg01.indd 569 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

570 NAME INDEX

Cassia, V. M., 180 Cassone, V. M., 263 Castelli, F., 370 Castellucci, V., 407 Castillo, A., 416 Castrén, E., 472 Castro-Alvarez, J. F., 137 Catalano, S. M., 122 Catalanotto, F. A., 214 Catania, K., 18 Catania, K. C., 216 Catchpole, C. K., 7 Catmur, C., 237 Catterall, W. A., 35 Caudle, K., 131 Cavanagh, P., 88, 179 Cavina-Pratesi, C., 178 Caviness, V. S., 181 Ceci, S. J., 179 Censor, N., 92 Cepeda-Benito, A., 464 Cereda, E., 250 Cerletti, U., 473 Cerrato, M., 316 Cespuglio, R., 274 Chabris, C. F., 364 Chafee, M. V., 389 Chahrour, M., 495 Chai, X., 434 Chailangkarn, T., 433 Chait, M., 196 Chalmers, D., 4 Chalmers, D. J., 442 Champagne, F. A., 333, 481 Chan, A. W.-Y., 179 Chang, E. F., 192, 196 Chang, G.-Q., 314 Chang, G. Y., 402 Chang, M., 236 Chang, S.-H., 476 Chang, S. W. C., 455 Chant, D., 484 Chantala, K., 342 Chao, M., 122 Chao, M. V., 454 Chapman, C. S., 166 Chapman, S. B., 412 Charney, D. S., 379 Chattarji, S., 371 Chatterjee, A., 173, 448 Chaudhari, N., 213 Chau-Wong, M., 486 Checkley, S. A., 328 Chee, M. J. S., 312 Chen, C., 208 Chen, C.-F. F., 219 Chen, E., 379 Chen, F., 236 Chen, J.-K., 434 Chen, J.-Y., 213 Chen, L. M., 203 Chen, Q., 295 Chen, S., 265 Chen, X., 201 Chen, Y., 264, 314 Chen, Y.-C., 433 Cheney, D. L., 113, 430 Cherkas, L., 343 Chesworth, R., 464 Cheug, L. K., 276 Cheyne, J. A., 273 Chiang, M. C., 416 Chiapponi, C., 485 Chiarello, C., 429 Chin, J., 390

Chis, A., 368 Chiu, D. T., 314 Chivers, M. L., 342 Cho, M. J., 469 Chomsky, N., 433 Chong, G., 54 Chong, S. C., 180 Chong, S. Y. C., 265 Chou, E. Y., 203 Chouinard, P. A., 166 Chow, E. W. C., 484 Christensen, C. B., 190 Christensen-Dalsgaard, J., 190 Christodoulou, J. A., 96 Chu, H.-P., 328 Chuang, H., 207 Chung, W. C. J., 324 Churchland, P. S., 4 Ciaramelli, E., 359 Cicchetti, D. V., 282 Cichon, S., 392 Cicone, N., 435 Cipolotti, L., 354 Cirelli, C., 283 Cirulli, F., 125 Clahsen, H., 433 Clark, B. A., 45 Clark, D. A., 82, 83 Clark, D. B., 262 Clark, J. J., 446 Clark, L., 453 Clark, R. E., 387 Clark, W. S., 7 Clarke, S., 429 Claus, E. D., 453 Cleary, L. J., 407 Clegg, R. A., 142 Cleghorn, J. M., 275 Clelland, C. D., 119 Clemens, L., 324 Clemenson, G. D. Jr., 127 Clements, K. M., 124 Clifford, J., 109 Clutton-Brock, T. H., 113 Coan, J. A., 379 Cobos, P., 353 Coderre, T. J., 208 Cogan, G. B., 196 Cohen, A., 354 Cohen, D., 244 Cohen, J. D., 272, 359 Cohen, L. G., 92, 127 Cohen, M. J., 405 Cohen, N. J., 397 Cohen, S., 379 Cohen Kadosh, R., 412 Cohen-Kettenis, P. T., 341 Cohen-Tannoudji, M., 124 Cohen-Woods, S., 469 Colantuoni, C., 316 Colapinto, J., 341, 348 Cole, S. W., 107 Cole-Harding, S., 344 Coleman, J. A., 470 Coleman, P. D., 118 Collie, A., 280 Collier, T., 312 Collignon, O., 173 Collingridge, G. L., 208, 408 Collins, C. E., 82, 125 Colmers, W. F., 312 Colom, R., 129, 416 Colombo, C., 474 Coltheart, M., 96 Cone, R. D., 310

Conn, M., 11 Conner, C. R., 399 Conner, W. E., 187 Connine, C. M., 446 Connolly, J. D., 178 Connor, P. D., 461 Connors, B. W., 263 Conrad, C. D., 379 Considine, R. V., 309 Constantinidis, C., 389 Conti, V., 117 CONVERGE Consortium, 469 Conway, G. S., 340 Cooch, N. K., 454 Cooke, B. M., 346 Cooperman, A., 442 Copeland, D., 75, 76, 79, 86, 426 Coppola, D. M., 168 Corballis, M. C., 96, 427, 432 Corbit, L. H., 464 Corcoran, A. J., 187 Corkin, S., 142, 390, 395, 396, 397, 398, 420 Corley, R., 109, 417 Cormack, L. K., 181 Corna, F., 343 Cornelius, M. D., 461 Corradi, N., 437 Corradi-Dell’Acqua, C., 205 Correll, C. U., 487 Cortese, S., 19, 493 Cosmelli, D., 444 Coss, R. G., 125 Costa, R. M., 402 Costa, R. P., 411 Costa, V. D., 463 Coste, O., 262 Costello, P., 445 Cote, K. A., 269 Cottrell, J. F., 148 Coupland, C., 482 Courchesne, E., 73 Cousins, J. N., 269 Cowart, B. J., 222 Cowey, A., 182 Cox, J. J., 205 Crago, M. B., 432 Craig, A. D., 208 Craig, A. M., 53 Craig, B. A., 213 Craig, I. W., 469 Crair, M. C., 170, 171 Cravchik, A., 460 Creighton, S. M., 341 Cressey, D., 339 Crick, F., 284 Crick, F. C., 442 Critchley, H. D., 312, 354 Crivelli, C., 357 Croft, K. E., 359 Crone, E. A., 131 Cronin-Golomb, A., 249, 283 Cross-Disorder Group, 459 Crossin, K. L., 118 Crowley, S. J., 265 Croxson, P. L., 433 Cryan, J. F., 315 Csibra, G., 93 Cudmore, R. H., 411 Cummings, D. E., 306, 308, 314 Cunningham, W., 368 Curio, G., 284 Curry, A., 304 Cusack, R., 166 Cushman, F., 359 Cuthill, I. C., 154

08202_nameindex_ptg01.indd 570 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 571

Cutler, W. B., 220 Cvijanovic, N., 306 Czeisler, C. A., 259, 261, 264, 270 Czekóová, K., 237 Czosnyka, M., 136

da Rocha, N. S, 474 Daan, S., 264 Dacey, D., 312 Dachtler, J., 483 Dahl, R. E., 131 Dahlhamer, J. M., 342 Dahmen, B., 96 Dail, W. G., 138 Dale, A., 463 Dale, N., 407 Dale, P. S., 109 Dallaspezia, S., 475 Dalterio, S., 325 Dalton, K., 347 Dalton, P., 220 Damasio, A., 87, 359, 369, 370, 381, 398 Damasio, A. R., 359 Damasio, H., 86, 359, 369, 370, 417, 429 D’amour, J. A., 454 Damsma, G., 463 Daniel, D. G., 485 Darby, D. G., 280 Darley, J. M., 359 Darnaudéry, M., 137 Darweesh, S. K. L., 250 Darwin, C., 110, 337 Das, A., 95, 166 Dasheiff, R. M., 93 Daum, I., 387 Dautoff, R. J., 98 Davachi, L., 389 Davidson, R. J., 357, 367, 379, 470 Davidson, S., 208 Davidson, T. J., 365 Davies, G., 418, 484 Davies, M., 363 Davies, P., 4 Davies, P. L., 293 Davis, D., 486 Davis, E. C., 325 Davis, F. C., 264 Davis, H. N., 344 Davis, J., 483 Davis, J. I., 354 Davis, K. D., 140 Davis, K. W., 464 Davis, M., 365, 367 Dawes, C., 363 Dawkins, R., 111, 113 Dawson, D., 275 Dawson, T. M., 52 Dawson, V. L., 52 Dax, G., 434 Dax, M., 434 Day, N. L., 461 Day, S., 221 Dayan, E., 92 De Bundel, D., 470 de Castro, B. O., 363 de Castro, J. M., 307 De Dreu, C. K. W., 454–455 de Gelder, B., 181 De Genna, N. M., 461 de Groot, J. H. B., 217 de Heer, W. A., 424 de Hemptinne, C., 250 De Jager, P. L., 390 de Jong, W. W., 264, 444 de la Iglesia, H. O., 262

de la Torre-Ubieta, L., 493 de los Santos, H. C., 212 De Luca, M., 437 de Maat, S., 473 de Peralta Menendez, R. G., 166 De Peri, L., 485 De Pitta, M., 22 De Ridder, D., 195 de Sonneville, L. M. J., 110 de Vries, G. J., 324, 327 De Wall, C. N., 205 De Young, C. G., 98 Deacon, T. W., 416, 434 Deady, D. K., 353 Dean, K. A., 484 deBonis, M., 370 Deboué, E. R., 281 DeCoster, M., 362 Deeb, S. S., 158 Dees, E. W., 158 Dees, T., 128 DeFries, J. C., 109, 417 Dehaene, S., 85, 128, 181, 442, 443, 443, 445,

457 deHan, R. S., 119 Deisseroth, K., 92, 93, 365, 476 DeJong, J., 364, 365 Del Cul, A., 443 Delaney, K. R., 139 Delespaul, P., 468 Delgado, M. R., 402, 456 Deliagina, T. G., 230 Delville, Y., 364 Dement, W. C., 270, 271, 287 Denburg, N. L., 359 Dennerstein, L., 330 Dennett, D. C., 4, 441 Denning, J. H., 344 Depue, B. E., 98 Derby, C. A., 132 Derégnaucourt, S., 283 DeRoshia, C. W., 260 Desai, M. M., 321 Desain, P., 164 Desautels, A., 273 Descartes, R., 120, 148, 441 DeSimone, J. A., 212, 213 Desimone, R., 213, 447 Desmurget, M., 235, 244 Deste, G., 485 Detre, J. A., 94 deTribolet, N., 429 Deutsch, D., 195 Deutsch, J. A., 306 DeValois, R. L., 170 DeVoogd, T. J., 119 Devor, M., 207 Devos, R., 308 deVries, M., 468 Dhingra, R., 315 Di Filippo, M., 241 Di Lorenzo, P. M., 32, 213 Di Napoli, M., 137 Di Page, E., 437 Di Paola, M., 239 di Pellegrino, G., 359 Diamond, L. M., 348 Diamond, M., 341, 342 Dias, B. G., 107 Díaz, M., 323 Dibb-Hajj, S. D., 205 DiChiara, G., 56 Dick, D. M., 109, 461 Dick, F., 435 Dicke, P. W., 241

Dicke, U., 416 Dickerson, B. C., 98 Dickerson, F. B., 484 Dickinson, A., 465 Dickman, J. D., 187 Diedrichsen, J., 86, 239, 240, 427 Diéguez, C., 309, 310 Diekelmann, S., 283, 284 Diener, H. C., 240 Dierks, T., 85 Dijk, D.-J., 265, 283 Dikkes, P., 332 Diller, L., 155 Dimitriou, M., 229 Dimond, S. J., 427 Dinan, T. G., 315 Ding, F., 271 Ding, J. B., 54, 250 Dinstein, I., 236, 237 Disner, S. G., 368 Ditterich, J., 182 Diwadkar, V. A., 486 Dixon, D. B., 411 Do, K. Q., 488 Dobkin, D. S., 290 Dodds, C. M., 179 Dodge, K. A., 364 Doebeli, M., 114 Doesburg, S. M., 443 Dohnt, H., 262 Dolan, R., 354 Dolan, R. J., 370 Dolberg, D. S., 220 Dolezal, C., 341 Domhoff, G. W., 166, 285 Donahoe, P. K., 339 Donley, J. M., 292 Donoghue, J. P., 233 Doolittle, N., 220 Doremus-Fitzwater, T. L., 131 Doricchi, F., 447 Dormal, G., 173 Dostrovsky, J. O., 400 Doty, R. L., 220 Douaud, G., 118 Douglas, R. H., 264 Douglas, T., 412 Dow, M. W., 127 Dow, S., 390 Dowling, J. E., 162 Downing, P. E., 179 Doyle, W. J., 379 Doyon, J., 283 Draganski, B., 129 Drain, M., 181 Drake, R. M., 447 Dreger, A. D., 340, 341 Dreher, J. C., 364 Dresler, M., 273 Driver, J., 178, 448 Dronkers, N. F., 435 Druid, H., 119 Drzyzga, L. R., 472 Du, J., 328 Du, Y. M., 471 Duan, C. A., 452 Duan, X., 483 Duck, S. C., 340 Ducommun, C. Y., 191 Dudai, Y., 412 Dudley, C., 265 Dudman, J. T., 244 Duff, M. C., 397 Duffy, J. F., 261 Duffy, V. B., 214

08202_nameindex_ptg01.indd 571 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

572 NAME INDEX

Duijndam, M. J. A., 217 Duke, A. A., 365 Dulac, C., 220 Duman, R. S., 469, 471 Duncan, G. H., 205 Duncan, J., 166 Duncan, S. L., 368 Dunn, B. D., 354 Dunn, F. A., 264 Dunn, S., 166 Dunsmoor, J. E., 389 Durante, K. M., 330 Durso, G. R. O., 205 Duvarci, S., 367 Duysens, J., 164 Dyal, J. A., 406

Eagleman, D. M., 221 Earnest, D. J., 263 Eastman, C. I., 259, 265 Eaves, L., 363 Eaves, L. J., 109 Ebers, G., 343 Ebstein, R. P., 332 Eccles, J., 43, 44, 54 Echevarria, E., 316 Eckhorn, R., 443 Eckstrand, K. L., 123 Edelman, G. M., 122 Edelman, R. R., 233 Edelstein, R. S., 333 Eden, A. S., 368 Edman, G., 364 Eggert, M., 365 Ehrhardt, A. A., 324, 347 Ehrlich, P. R., 290 Ehrsson, H. H., 88 Eichenbaum, H., 395, 400, 420 Eichenbaum, H. B., 398 Eidelberg, E., 136 Einstein, A., 99 Eippert, F., 207 Eisenberg, D. S., 390 Eisenberger, N. I., 205 Eisenbruch, A. B, 330 Eisenlohr-Moul, T., 365, 468 Eisenlohr-Moul, T. A., 324 Eisenstein, E. M., 405 Ejaz, N., 86 Ek, M., 295 Ekblom, B., 228 Ekman, P., 429 Ekstrom, A. D., 399 Elangovan, N., 130 Elbert, T., 128, 130 Eldar, E., 272 Eldridge, L. L., 395 Elgoyhen, A. B., 195 Elias, C. F., 308 Elie, J. E., 192 Elkashef, A., 465 Ellacott, K. L. J., 310 Ellemberg, D., 173 Elliott, J. C., 310 Elliott, T. R., 50 Ellis, A. B., 417 Ellis, L., 344 Ells, L. J., 304 Elmquist, J. K., 310 Elsabbagh, M., 492 Eng, M. Y., 462 Engel, A. K., 443 Engel, S. A., 395 Engel, T. A., 447 Enticott, P. G., 237

Epp, J. R., 392 Epping-Jordan, M. P., 464 Epprecht, M., 348 Epstein, R., 347 Erickson, C., 328 Erickson, K. I., 132 Erickson, R. P., 187, 211 Eriksson, E., 472 Erlich, J. C., 452 Ernst, M. B., 119 Erritzoe, D., 463 Ersche, K. D., 459, 464 Eschenko, O., 269 Esser, S. K., 273 Estes, M. L., 484 Etcoff, N. L., 429 Etgen, A. M., 328 Eulig, C., 221 Euston, D. R., 283 Evans, A. C., 182, 417 Evans, D. A., 390 Evans, S. S., 295 Evarts, E. V., 226 Everitt, B. J., 465 Everling, S., 236

Faas, G. C., 408 Facoetti, A., 437 Fadiga, L., 236 Fagarasanu, A., 390 Fahrenkrug, J., 264 Falk, D., 99 Falkner, A. L., 365 Falleti, M. G., 280 Fan, G., 107 Fan, W., 310 Fane, B. A., 340 Fang, H., 219 Fanning, J. R., 461 Faraguna, U., 283 Farah, M. J., 181, 412 Farber, N. B., 417, 488 Farías, M. I., 251 Farlow, M., 390 Farmer, M. E., 437 Farooqi, I. S., 314 Farquhar, J., 164 Faruqui, R., 138 Fatemi, S. H., 483, 492 Fava, G. A., 373 Featherstone, R. E., 454 Feder, A., 379 Fedrigo, O., 418 Feeney, D. M., 138 Fehér, O., 283 Feinle-Bisset, C., 306 Feinstein, J. S., 369 Feldman, H. M., 236 Feldman, R., 333 Feldon, J., 125 Fell, J., 443 Feltmann, K., 470 Fendrich, R., 166 Feng, J., 107, 340 Fenselau, H., 310 Fentress, J. C., 230 Ferando, I., 408 Ferbinteanu, J., 402 Fergusson, D. M., 363 Fernández-Dols, J. M., 357 Fernández-Guasti, A., 324 Fernández-Ruiz, J., 137 Ferrante, A. W. Jr., 309 Ferrari, F., 137, 328 Ferraro, V., 436

Ferreira, A., 324, 332 Ferreira, F., 436 Ferreño, M., 324 Ferris, C., 362 Ferris, M. J., 463 Fiber, J. M., 328 Fibiger, H. C., 463 Fick, J., 373 Fiebach, C. J., 416 Field, L. L., 437 Fields, H. L., 55 Fields, R. D., 118, 129 Filosa, J. A., 22 Fine, A., 411 Fine, I., 173 Finger, S., 434 Fink, B., 331 Fink, G. R., 221, 235 Fink, K. L., 139 Finn, E. S., 95 Finsterbusch, J., 207 Firestein, S., 218, 219 Fisch, L., 443 Fisher, R. S., 312 Fisher, S. E., 432 Fiske, A., 469 Fiss, H., 166 Fitts, D. A., 300 Fitzgerald, J. E., 411 Fitzgerald, P. B., 237 Fjell, A. M., 132, 416 Fjerdingstad, E. J., 406 Flanagan, E. H., 459 Flannery-Schroeder, E., 213 Flatz, G., 304 Fleck, M. P. D., 474 Fleet, W. S., 142 Fleischer, J., 219 Fletcher, G. J. O., 418 Fletcher, J. A., 114 Fletcher, M. A., 132 Fletcher, P. C., 485 Fletcher, R., 158 Flinker, A., 435 Flint, J., 459 Flor, H., 141 Florence, S. L., 140 Flowers, K. A., 424 Floyd, T. F., 94 Flynn, J. M., 437 Foerde, K., 316, 402 Fogassi, L., 236 Fogel, S. M., 269 Foldi, N. S., 435 Folkard, S., 261 Folsom, T. D., 483 Foltz, E. I., 205 Foo, H., 205 Forger, N. G., 123 Fornoni, L., 195 Foroni, F., 237 Forrest, A., 454 Forrester, D. L., 343 Forster, B., 427 Fortin, N. J., 398 Foss-Feig, J. H., 181, 493 Foster, R. G., 264 Fotopoulou, A., 390 Foulkes, D., 285 Fountoulakis, K. N., 473 Fournier, J. S., 148 Fouse, S., 107 Fox, N. A., 357 Franc, B., 274 Francis, A. D., 123

08202_nameindex_ptg01.indd 572 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 573

Frank, E., 139 Frank, L. M., 283 Frank, M. G., 429 Frank, M. J., 453 Frank, R. A., 212 Frankenberg, H., 365 Frankland, P. W., 365, 392 Franklin, R. G. Jr., 455 Franklin, T., 469 Franz, E. A., 427 Frascino, J. C., 402 Frassinetti, F., 448 Frazzetto, G. B., 381 Freed, C. R., 251 Freedman, M. S., 264 Freeman, J. H., 387, 392 Freeman, R. D., 94 Freeman, W., 87 Freire, C., 250 Freire, T. F. V., 474 Freiwald, W. A., 447 French, J. A., 344 Frese, M., 261 Frey, S. H., 140 Friberg, U., 211, 343 Friden, J., 228 Fried, I., 442 Friedman, E. S., 473 Friedman, J. J., 207 Friedman, M., 312 Friedman, N., 434 Friedman, R. M., 203 Frisén, J., 119 Frisén, L., 340, 341 Friston, K. J., 236 Frith, C. D., 202, 236 Fritsch, G., 233 Froemke, R. C., 171, 411, 454 Frohman, L. A., 312 Fromer, M., 483 Frum, C., 454 Fu, L.-Y., 310 Fu, Q. A., 469 Fu, W., 211 Fu, Y. H., 265 Fuchs, T., 282 Fuhrman, O., 448 Fujiwara, E., 390 Fujiyoshi, Y., 55 Fulker, D., 109, 417 Fuller, R. K., 465 Funato, H., 275 Furuya, S., 130 Fuster, J. M., 86, 136

Gaab, N., 437 Gable, P. A., 309 Gabrieli, J. D. E., 390 Gade, A., 469 Gaffey, A., 359 Gage, F. H., 119, 125, 400 Gage, Phineas, 359 Gago, J., 371 Gais, S., 283 Gale, S., 325 Galea, L. A. M., 324 Galin, D., 427 Galinsky, A. D., 203 Galinsky, A. M., 342 Gall, F., 96 Gallant, J. L., 424 Gallardo-Pujol, D., 363 Gallese, V., 236 Galli, G., 416 Gamaldo, A. A., 392

Gamer, M., 370 Gampe, C., 483 Gan, W.-B., 23, 125, 392 Gan, Y., 474 Gandhi, T., 171, 173 Ganesh, S., 173 Gangestad, S. W., 337 Ganguly, K., 411 Ganis, G., 92 Ganna, A., 418 Gao, J.-H., 240 Gao, X.-B., 283 Garbe, P. L., 250 Garcia, C. R., 220 Garcia, J. A., 265 Garcia-Fernández, J.-M., 264, 346 Gardner, B. T., 430 Gardner, C. O., 469 Gardner, G., 262 Gardner, H., 435 Gardner, R. A., 430 Garfield, A. S., 310 Gariépy, J.-F., 455 Garion, L., 47 Garlow, S. J., 476 Gaser, C., 128, 129, 325 Gasparini, M., 447 Gatchel, R. J., 379 Gates, G. J., 342 Gatz, M., 250, 469 Gautier, T., 341 Gavrilets, S., 343 Gayet, S., 445 Gaysinskaya, V., 314 Gazzaniga, M. S., 166, 427, 429 Ge, S., 119 Gearhart, J. P., 340 Gebhard, P. H., 346 Geerling, J. C., 299, 301 Geffner, M. E., 340 Geier, C. F., 131 Geiger, B. M., 313 Geiger, G., 437 Gelarden, I. A., 321 Geller, H. M., 250 Gendron, M., 356 Geniole, S. N., 342 Genovese, G., 483 Gentil, C., 261 Gentile, R. L., 212 Georg, B., 264 George, F. W., 325 Gerber, J., 129 Gerkema, M. P., 281 Gershon, A., 476 Gerwig, M., 387 Geschwind, D. H., 459, 493 Geschwind, N., 425 Geuter, S., 207 Ghannam, M., 493 Gharabaghi, A., 181 Ghazanfar, A. A., 432 Ghetti, B., 390 Ghiglieri, V., 241 Ghilardi, M. F., 283 Ghosh, S., 371 Gibbs, F. P., 263 Gibbs, J., 306 Giber, K., 271 Gibson, M. E., 139 Gielen, C., 164 Giesbrecht, T., 280 Giesler, G. J. Jr., 208 Gilaie-Dotan, S., 131 Gilbert, P. E., 398

Gilboa, A., 453 Gilissen, C., 418 Gill, S. S., 390 Gillespie, D. C., 171 Gilmore, J. H., 417 Ginty, D. D., 200 Gisolfi, C. V., 319 Gitschier, J., 195 Giuliani, D., 328 Giummarra, M. J., 140 Giustetto, M., 408 Giza, C. C., 132 Gizowki, C., 299 Gläscher, J. M., 369 Glasgow, S. D., 283 Glatt, S. J., 461 Gleason, C. A., 244 Gleeson, T. T., 293 Glendenning, K. K., 191 Globus, A., 125 Gluck, M. A., 402 Gluckman, P. D., 107 Glykys, J., 373 Gnanakumaran, V., 127 Goate, A., 390 Godfrey, K. M., 107 Goebel, R., 96 Gogos, J. A., 119 Gold, A. R., 330 Gold, J. M., 180 Gold, P. E., 389 Gold, R. M., 312 Goldberg, R., 189 Goldberg, T. E., 485 Goldey, K. L., 328 Golding, J., 327 Goldin-Meadow, S., 432, 433 Goldman, D., 460 Goldman, L. S., 482 Goldman, P. S., 486 Goldman-Rakic, P. S., 389, 485 Goldreich, D., 127, 200 Goldschmidt, L., 461 Goldschmidt, R. B., 400 Goldspink, G., 228 Goldstein, A., 205 Goldstein, R. Z., 464 Golestani, N., 128 Golgi, C., 19 Goller, A. I., 141 Golombok, S., 327 Golumbic, E. Z., 196 Gomez, A., 387 Gonda, X., 468 Gong, G., 417 Gonzalez-Alegre, P., 253 Gonzalez Andino, S. L., 166 Gonzalez-Zulueta, M., 52 Goodale, M. A., 166, 177, 235 Goodwin, F. K., 364, 365 Gopnik, M., 432 Gordon, H. L., 368 Gordon, I., 333 Gori, S., 437 Gorman-Smith, D., 363 Gorski, R. A., 325, 326 Gosling, L. M., 217 Goswami, U., 437 Gotlib, I. H., 468 Gottesman, I. I., 482 Gottfried, J. A., 219 Götz, M., 22 Gøtzsche, P. C., 207 Gouaux, E., 470 Gozal, D., 276

08202_nameindex_ptg01.indd 573 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

574 NAME INDEX

Grabowski, T. J., 417 Gracco, V. L., 434 Grace, M., 207 Gradisar, M., 262 Grafman, J., 203 Graham-Kevan, N., 363 Granot, R. Y., 437 Gray, C. M., 443 Gray, J., 357 Gray, K., 359 Gray, S. M., 24 Graziadei, P. P. C., 119 Graziano, M. S. A., 235 Grazioplene, R. G., 416 Graziottin, A., 330 Green, A. E., 191 Green, B. A., 342 Green, E. M., 470 Green, J. J., 443 Green, J. T., 125 Green, S. J., 212 Greenamyre, J. T., 250 Greenberg, J. R., 113 Greenberg, M. E., 332 Greene, G. C., 281 Greene, J. D., 359 Greenhill, S. D., 483 Greening, S. G., 370 Greenlee, M. W., 182 Greenough, W. T., 125 Greer, C. A., 220 Greer, J., 433 Gregerson, P. K., 221 Gregg, V., 148 Gregory, M. D., 416 Greischar, L. L., 357 Gremese, M., 233 Grieve, K. L., 235 Griffin, J. E., 325 Griffith, T. L., 424 Griffiths, T. D., 192, 196 Grill, H. J., 306 Grillon, C., 365 Gritton, H. J., 259 Grocke, P., 418 Grodd, W., 181 Groeger, J. A., 283 Grosenick, L., 365 Gross, C. G., 148 Gross, C. T., 367 Gross, J. J., 368, 468 Gross, R. A., 373 Grossberg, S., 258 Grossman, M., 192, 196 Grossman, S. P., 312 Growdon, J. H., 390 Grueschow, M., 219 Grueter, B. A., 379 Grueter, M., 180 Grunder, G., 488 Grüsser, S. M., 464 Guariglia, P., 447 Guastella, A. J., 454 Gubernick, D. J., 334 Guéguen, N., 331 Guerrero, L., 341 Guggisberg, A., 390 Guggisberg, A. G., 246 Guidi, J., 373 Guillot, C. R., 461 Guisez, Y., 308 Gujar, N., 283 Güler, A. D., 264 Gunia, B. C., 262 Gunn, S. R., 277

Gunn, W. S., 277 Gunnoe, M. L., 126 Guo, J., 276 Guo, S.-W., 214 Gur, R. E., 485 Gusella, J. F., 253 Gustafsson, B., 411 Guterstam, A., 88 Gutiérrez, E., 316 Gutierrez-Vargas, J., 137 Gvilia, I., 285 Gwinner, E., 258 Gyurak, A., 469

Haarmeier, T., 181 Haas, R., 241 Haase, C. M., 469 Haber, J., 136 Habib, M. K., 284 Hackeman, E., 200 Hackett, P. D., 333 Hadley, R. D., 125 Hagenauer, M. H., 262 Hagenbuch, B., 23 Haggard, P., 245 Haggarty, J. M., 474 Hägglund, M., 230 Hagiwara, H., 390 Hagoort, P., 436 Hahamy, A., 493 Haider, H., 283 Haimov, I., 261, 265 Haist, F., 180 Hakuta, K., 434 Halaas, J. L., 308 Halaris, A. E., 312 Halaschek-Wiener, J., 113 Halder, R., 410 Haliyur, R., 326 Hall, M., 446 Haller, S., 345 Halligan, P. W., 448 Hallmayer, J., 276 Hallschmid, M., 283 Halpern, S. D., 153 Hamada, M., 86 Hamann, K., 113 Hamann, S. B., 390 Hamer, D. H., 343 Hamiliton, C., 433 Hamilton, L. D., 328 Hamilton, W. D., 113 Hammer, M., 407 Hamon, M., 274 Hampson, E., 340 Han, J.-H., 411 Han, S., 494 Hanada, R., 295 Hanakawa, T., 130 Hanchate, N. K., 218 Haney, A., 282 Hänggi, J., 221 Hanks, T. D., 452 Hanna, C., 372 Hannibal, J., 264 Hannon, E., 107 Hansen, L. K., 273 Hanson, M. A., 107 Hansson, E., 24 Haqq, C. M., 339 Harada, N., 325 Hardingham, G. E., 488 Hargreaves, R., 79 Hari, R., 94 Hariri, A. R., 364

Harlaar, N., 109 Harley, B., 434 Harmon-Jones, E., 309, 354, 363 Harraid, J. H., 464 Harris, C. R., 201 Harris, J. C., 493 Harris, K. D., 82, 93, 280, 418 Harrison, E. M., 283 Harrison, G. H., 260, 303 Harrold, J. A., 310 Hartl, D. L., 323 Hartline, H. K., 164 Harvey, A. G., 371, 476 Harvie, D. S., 203 Harwich, C., 261 Hasher, L., 262 Hashmi, N., 364 Hasler, B. P., 262 Hassabis, D., 397 Hassan, B., 342 Hassani, O. K., 273 Hassett, J. M., 327 Hasson, U., 236 Hatemi, P. K., 363 Haubensak, W., 210 Hausmann, M., 357 Häusser, M., 45, 93 Haut, K. M., 481 Havlicek, J., 217 Hawkins, R. D., 408 Haworth, C. M. A., 109, 417 Haxby, J. V., 236 Hayashi-Takagi, A., 483 Hayes, J. E., 214 Hayes, J. P., 132 Hayes, S. M., 132 Hayman, S. R., 494 Haynes, J.-D., 219, 246 Hazeltine, E., 427 He, B. J., 443 He, S., 445 He, S. M., 471 He, Y., 417 Heath, A., 109 Heath, A. C., 109 Heatherton, T. F., 314 Hebart, M., 166, 362 Hebb, D. O., 387, 388, 406, 406 Hebscher, M., 453 Heck, G. L., 212, 213 Heeger, D. J., 236, 442 Hegarty, M., 340 Heikkila, R. E., 250 Heilman, K. M., 142 Heims, H. C., 354 Heinze, H.-J., 246 Heisler, L. K., 314 Held, R., 173 Helder, E. J., 126 Heller, A. S., 355 Helm, B., 281 Helmholtz, H. von, 154 Hen, R., 274 Henderson, J. M., 446 Henderson, S. A., 344 Hendriks, W., 264 Hendry, S. H. C., 166 Hengst, J., 397 Henley, C. L., 324 Hennessy, M. B., 344 Hennies, N., 269 Hennig, R., 228 Henriques, J., 357 Henshaw, J. M., 223 Hentges, S. T., 164

08202_nameindex_ptg01.indd 574 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 575

Henthorn, T., 195 Herculano-Houzel, S., 18, 22, 82, 416, 418 Herdener, M., 127 Heres, S., 488 Hering, E., 155 Herman, J. P., 310 Hernandez, L., 312 Herrero, S., 187 Herron, J., 427 Herrup, K., 239, 391 Herry, C., 367 Hervé, P. Y., 425 Herz, R. S., 424 Hess, T. M., 132 Hesse, M. D., 235 Hesselmann, G., 166 Hettema, J. M., 371 Heuer, E., 367, 398 Heydari, N., 340 Heyes, C., 237 Heywood, C. A., 182 Hieronymus, F., 472 Higgs, S., 390 Highnote, S. M., 158 Higuchi, R., 354 Hikosaka, O., 402 Hilger, K., 416 Hill, D. L., 312 Hill, S., 273 Hill, Z., 443 Hillard, C. J., 58 Hillix, W. A., 430 Hillman, E. M. C., 95 Himmelbach, M., 178 Hind, J. E., 191 Hindersson, P., 264 Hindmarsh, P. C., 340 Hines, M., 327, 328, 340 Hinkley, L. B. N., 427 Hippisley-Cox, J., 482 Hiripi, E., 316 Hirsch, H. V. B., 171, 172 Hirschman, A., 136 Hirst, J. M., 494 Hirstein, W., 140 Hitch, G. J., 389 Hitchcock, J. M., 367 Hitzig, E., 233 Hiyama, T. Y., 299 Hobson, J. A., 284, 285 Hochberg, L. R., 233 Hodes, G. E., 469 Hodgekins, J., 494 Hodsoll, J., 447 Hoebel, B. G., 311, 312, 316 Hoeft, F., 437 Hoese, E. K., 259 Hoffer, A., 481 Hoffman, E., 284 Hoffman, P. L., 373 Hoffmann, F., 284 Hoffmann, K.-P., 182 Hofman, M. A., 345 Hofmann, M., 473 Hofstetter, C., 205 Hohmann, C. F., 118 Holcombe, A. O., 88 Hollingworth, A., 446 Hollis, E. R. II, 139 Hollister, J. M., 484 Hollon, S. D., 473 Holman, E. A., 455 Holtzheimer, P. E., 476 Holtzman, D. M., 391 Holy, T. E., 220

Holzhausen, L. C., 58 Holzman, P. S., 482, 485 Homan, R. W., 429 Homewood, J., 424 Honda, S.-I., 325 Hong, L. E., 484 Hong, S. W., 444 Honoré, J., 447 Hook, C. J., 412 Hoon, M. A., 201 Hopkins, R. O., 395 Hopkins, W. D., 425 Hori, K., 300 Horikawa, T., 96 Horn, J. M., 417 Horn, S. R., 379 Horne, J. A., 275, 280 Horowitz, L. F., 219 Horowitz, S. S., 223 Horridge, G. A., 405 Horst, W. D., 470, 471 Horton, J. C., 183 Horwood, L. J., 363 Hötting, K., 132 Hou, Y., 272 Houk, C. P., 341 Hourai, A., 299 Hovda, D. A., 138 Howard, J. D., 219 Howdeshell, K. L., 325 Howes, O. D., 486, 489 Howland, J. G., 408 Hoy, K. E., 237 Hróbjartsson, A., 207 Hsieh, C. H., 487 Hsieh, P.-J., 169 Hsu, K.-S., 119 Hu, N., 343 Hu, P., 283 Hu, P. T., 283 Hu, S., 343 Hua, J. Y., 121 Huang, A. L., 213, 265 Huang, B. H., 434 Huang, D., 220 Huang, K. W., 378 Huang, L., 446 Huang, P.-Y. S., 370 Huang, R., 113 Huang, Y.-J., 55 Huang, Y.-Y., 408 Hubbard, E. M., 85 Hubel, D. H., 158, 167, 167, 168, 171, 177 Hübener, M., 171 Huber, R., 173, 283 Hudson, J. I., 316, 469 Hudson, J. M., 424 Hudson, S., 290 Hudspeth, A. J., 188, 191 Huganir, R. L., 411 Hugdahl, K., 425 Huggins, G. R., 220 Hugill, N., 331 Huk, A. C., 181, 453 Hull, E. M., 325, 328, 330, 463 Hull, R., 434 Hulme, C., 126 Humphreys, G., 390, 447, 453 Hunt, L. T., 87 Hunt, S. P., 204, 207 Huntington’s Disease Collaborative Research

Group, 252 Hurovitz, C. S., 166 Hurst, J. A., 432 Hurvich, L. M., 155

Husain, M., 448, 453 Husted, J., 484 Huszar, D., 310 Hutcherson, C. A., 359 Hutcheson, D. M., 465 Hutchison, J., 330 Hutchison, K. E., 464 Huth, A. G., 424 Hutson, K. A., 191 Huttner, H. B., 119 Huxlin, K. R., 166 Hyde, J. S., 417 Hyde, K. L., 128, 195 Hyltenstam, K., 434

Iacono, W. G., 460, 461 Iba-Zizen, M. T., 435 Igarashi, T., 290 Iggo, A., 200 Ikemoto, S., 244 Ikonomidou, C., 124 Ilieva, I. P., 412 Imamura, K., 219 Immordino-Yang, M. H., 96 Imperato-McGinley, J., 341 Ingram, C. J. E., 304 Ingvar, M., 207 Innocenti, G. M., 425 Irle, E., 370 Isaacson, G., 472 Iselin, A.-M. R., 364 Isham, E. A., 246 Ishii, T. M., 35 Ishizawa, Y., 446 Ishizuka, K., 483 Isler, K., 418 Isoda, M., 236 Itan, Y., 304 Iuculano, T., 412 Iverson, J. M., 432 Ivry, R. B., 239, 240, 427 Iwata, M., 469 Iwata, Y., 489 Iwema, C. L., 219 Iyer, A., 235

Jaber, M., 493 Jablensky, A. V., 482 Jacobs, B., 118 Jacobs, G. D., 470 Jacobs, G. H., 155 Jacobs, J., 400, 453 Jacobson, A., 406 Jacobson, A. L., 406 Jaeger, E., 205 Jaepel, J., 171 Jaffe, A. E., 107 Jahanshahi, M., 249 Jakobson, L. S., 235 James, K. H., 181 James, M. H., 310 James, R. S., 293 James, T. W., 180, 181 James, W., 353, 360, 441 James-Galton, M., 178 Jameson, D., 155 Jameson, K. A., 158 Jäncke, L., 129, 221 Jancke, L., 417 Janicki-Deverts, D., 379 Jarillo, S., 357 Järlaker, B., 228 Jarrard, L. E., 400 Jarvie, B. C., 164 Javitt, D. C., 481, 489

08202_nameindex_ptg01.indd 575 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

576 NAME INDEX

Jechura, T. J., 282 Jenkins, L. M., 456 Jennings, J. H., 310 Jennings-White, C., 220 Jerison, H. J., 415 Jesulola, E., 470 Ji, D., 283 Jia, Z., 293 Jiang, P., 211 Jiang, Y., 445 Jin, X., 402 Jirout, J. J., 417 Joel, C., 327 Joestl, S. S., 342 Johanek, L. M., 208 Johansen-Berg, H., 129 Johansen, J. P., 367 Johansson, C., 475 Johnsen, I. R., 354 Johnson, D. H., 321 Johnson, J. K., 461 Johnson, M. R., 418 Johnson, P. L., 371 Johnson, S. L., 363 Johnsrude, I., 192 Johnsrude, I. S., 196 Johnstone, J., 427 Jolesz, F. A., 283 Jonas, P., 119, 465 Jones, A. R., 24 Jones, B. E., 273 Jones, C. R., 265 Jones, E. G., 140 Jones, H. S., 275 Jones, J. E., 310 Jones, P. B., 488 Jones, W., 433, 493 Jonides, J. J., 447 Jonsson, M., 373 Joormann, J., 363, 444 Jooste, P., 280 Jordan, B. D., 331 Jordan, C., 362 Jordan, H. A., 306 Josephs, O., 192 Josselyn, S. A., 392 Jouvet, M., 269, 272, 274 Jubair, L., 475 Juda, M., 262 Judge, J., 437 Judica, A., 437 Jueptner, M., 242 Julius, D., 201 Julvez, J., 305 Jumah, F., 493 Juraska, J. M., 291 Jürgensen, M., 341 Jutras, M. J., 263

Kaang, B.-K., 208 Kaas, J., 125 Kaas, J. H., 84, 140, 202, 235 Kacelnik, O., 194 Kadosh, R. C., 412 Kaether, C., 483 Kagan, I., 235 Kagan, J., 368, 376 Kahn, R. S., 481, 485 Kahneman, D., 463 Kaiser, A., 345 Kalanithi, J., 402 Kalat, J. W., 300, 384 Kalat, R., 461 Kalbitz, J., 418 Kaldewaij, A., 217

Kales, A., 275 Kales, J. D., 275 Kalin, N. H., 367 Kalogeris, T. J., 306 Kalso, E., 207 Kamath, V., 220 Kamitani, Y., 96, 156, 447 Kamo, T., 192 Kana, V., 469 Kanady, J. C., 283 Kandel, E. R., 407, 407, 408, 486 Kane, J. M., 487 Kang, P., 444 Kang, S. H., 138 Kanold, P. O., 171 Kanter, R., 93 Kántor, O., 149 Kanwisher, N., 169, 179, 180, 181 Kaplan, B. J., 469 Kaplan, J. M., 306 Kaplan, J. T., 87 Kapur, N., 384 Kapur, S., 486, 488 Karatayev, O., 314 Karg, K., 469 Kargo, W. J., 244 Karkanias, G. B., 328 Karlsson, M., 283 Karmiloff-Smith, A., 433 Karnath, H. O., 178 Karns, C. M., 127 Karra, E., 310 Karrer, T., 207 Karrer, T. A., 214 Kas, J. H., 18 Kas, M. J. H., 310 Kasch, K. L., 468 Katkin, E. S., 470 Katschnig, H., 371 Katz, J., 208 Katz, L. C., 218, 219 Katz, L. N., 453 Kauer, J. A., 409 Kavanau, J. L., 281 Kay, C., 252 Kayyal, M. H., 356 Kazama, A. M., 367 Kazén, M., 365 Kazmi, H., 434 Keane, M. M., 397 Kearney, M., 290 Keefe, R. S. E., 482 Keele, S. W., 240 Keenan, J. P., 92 Keene, A. C., 281 Keers, R., 473 Keiser, M. S., 253 Kellendonk, C., 486 Keller, A., 217 Kelley, A. E., 367 Kelley, M. S., 139 Kelley, W. M., 191, 314 Kellogg, R. T., 457 Kelly, T. L., 259 Keltner, D., 354 Kempermann, G., 125 Kempkes, M., 269 Kendler, K. S., 417, 469, 482 Kennard, C., 156, 166, 448 Kennaway, D. J., 259 Kennedy, D. P., 369, 370 Kennedy, L. M., 212 Kennedy, M. A., 363 Kennedy, S. H., 314 Kennerley, S. W., 427

Kensinger, E. A., 396 Kerchner, G. A., 408 Kerns, J. G., 481 Keshavan, M. S., 486 Kesner, R. P., 398 Kessels, H. W., 390 Kessing, L. V., 469 Kessler, R. C., 316 Kety, S. S., 482 Keverne, E. B., 220 Keyes, M., 460 Khakh, B. J., 22 Khasabov, S. G., 208 Khashan, A. S., 484 Khateb, A., 166 Kidd, J. R., 214 Kiehn, O., 54 Kiening, K. L., 136 Kiesner, J., 324, 468 Kigar, D. L., 417 Kilarski, L. L., 472 Kilduff, T. S., 273 Kilgour, A. R., 181 Killackey, H. P., 140 Killeen, P. R., 379 Killeffer, F. A., 312 Killiany, R. J., 398 Kilner, J. M., 236 Kim, C.-Y., 221 Kim, E. J., 372 Kim, J. G., 22 Kim, J. H., 392 Kim, J. J., 372 Kim, P., 333 Kim, R. M., 343 Kim, S.-Y., 367 Kim, U., 214 Kim, Y., 363 Kim-Han, J. S., 250 King, A. J., 194 King, B. M., 312 King, B. R., 283 Kini, A. D., 219 Kinnamon, J. C., 211 Kinoshita, M., 233 Kinsey, A. C., 346 Kiriakakis, V., 487 Kirkland, J., 158 Kirkpatrick, P. J., 136 Kirsch, I., 472, 495 Kirtley, D. D., 84 Kiss, L., 411 Kitaoka, A., 181 Kitner-Triolo, M. H., 392 Klaminder, J., 373 Klawans, H. L., 100, 255 Kleck, R. E., 368 Kleen, J. K., 379 Kleiber, M. L., 124 Klein, D., 434 Klein, D. F., 354 Klein, R. M., 437 Kleitman, N., 269–270, 280 Klengel, T., 108 Klin, A., 493 Klingberg, T., 389 Klitgaard, H., 228 Kluger, M. J., 295 Klump, K. L., 363 Klüver, H., 85 Knafo, A., 332 Knauer, R. S., 270 Kneip, J., 310 Knekt, P., 250 Knopik, V. S., 109

08202_nameindex_ptg01.indd 576 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 577

Knowlton, B. J., 244, 395, 402 Knox, P. C., 437 Knudsen, S. M., 264 Knyazev, G. G., 357 Ko, C.-H., 463 Koban, L., 207 Kobayakawa, K., 216 Kobayakawa, R., 216 Kobelt, P., 306 Kober, H., 355 Koch, C., 442, 457 Koch, M., 366 Kochunov, P., 484 Koenigs, M., 359 Koepp, M. J., 463 Kogan, A., 354 Kohler, E., 237 Kohler, S., 392 Kohn, M., 114 Koifman, S., 250 Koleske, A. J., 125 Kollen, B. J., 447 Kolundzija, A. B., 343 Komisaruk, B. R., 330 Komura, Y., 77 Konadhode, R. R., 272 Konarski, J. Z., 314 Konczak, J., 130 Kondoh, K., 216 Kondrak, C. L., 379 Kong, A., 493 König, P., 443 Konishi, S., 485 Konopka, G., 433 Konradsson-Geuken, Å., 470 Koob, G. F., 464 Koochaki, P. E., 330 Kopsida, E., 331 Koralek, A. C., 402 Kordasiewicz, H. B., 253 Kordower, J. H., 251 Koresh-Kamin, H., 220 Korman, M., 283 Kornhuber, H. H., 240 Koroshetz, W. J., 244 Korpi, E. R., 464 Kosenko, P. O., 281 Kosslyn, S. M., 92, 166 Koster, H. D., 482 Kostrzewa, J. P., 139 Kostrzewa, R. M., 139 Kotowicz, Z., 359 Kouider, S., 273 Kourtzi, Z., 181 Kovach, C. K., 453 Koverola, C., 372 Kraemer, D. J. M., 191 Kraft, T. L., 437 Krajbich, I., 359 Krakauer, A. H., 113 Kramer, P., 484 Kramer, R. H., 58 Kranzler, H. R., 461 Krashes, M. J., 310 Kraus, N., 127, 128, 196 Krause, E. G., 300 Krause, V., 195 Kravitz, A. V., 241 Kreiman, G., 442 Kreiter, A. K., 447 Kreitzer, A. C., 241 Krekelberg, B., 181, 182 Kress, B., 136 Krishnan, A., 493 Krishnan, G. P., 283

Kristensson, K., 24 Kristiansen, K., 488 Kristoffersen, M., 469 Krizan, A. C., 474 Kroeze, W. K., 488 Kronauer, R. E., 261 Kropff, E., 400 Kross, E., 205 Krubitzer, L., 125 Krueger, J. M., 273 Krupa, D. J., 387 Kruse, J., 473 Krushel, L. A., 118 Krutsch, A. J., 424 Kuan, D., 219 Kuba, H., 35 Kubes, P., 24 Kubischik, M., 182 Kubista, H., 58 Kudo, K., 153 Kuenne, T., 365 Kujala, T., 437 Kujawa, S. G., 195 Kukkonen, J. P., 273 Kumar, A., 107 Kumar, C. J., 260 Kumar, V., 433 Kumaran, D., 397 Kumpik, D. P., 194 Kupfermann, I., 407 Kurth, F., 417 Kurtz, D. B., 219 Kusel, J., 52 Kuypers, H. G. J. M., 239 Kveton, J. F., 214 Kwak, H.-W., 236 Kwakkel, G., 447

La Delfa, N. J., 244 Laaksonen, M. A., 250 Labouèbe, G., 310 Laburn, H. P., 123 LaChance, H., 464 Lack, L., 275 Làdavas, E., 359, 448 Laeng, B., 181, 221 Lah, S., 136 Lahmek, P., 465 Lahti, T. A., 260 Lai, C. S. L., 432, 433 Lai, M.-C., 493 Lai, Z., 433 Laing, P., 484 Lakatos, P., 481 Lake, R. I. E., 109 Lam, C., 207 Lamarck, J.-B., 110 Lamb, R. J., 131 Lamb, S. E., 474 Lambie, J. A., 447 Lamme, V. A. F., 169 Lance, V., 281 Land, E. H., 158 Landin, A. M., 213 Landis, D. M. D., 166 Lang, P. J., 354, 463 Langdon, P. E., 494 Lange, B. P., 331 Langford, G., 275 Langguth, B., 195 Langhammer, A., 314 Langner, R., 181 Långsjö, J. W., 446 Langston, J. W., 250 Långström, N., 342

Lapierre, J. L., 281 Larkby, C., 461 Larkin, K., 346 Larsen, B., 131 Larsson, A., 340 Lashley, K. S., 255, 385, 386, 386, 392, 406 Lasley, E. N., 381 Latash, E. M., 425 Latimer, K. W., 453 Lau, B., 370 Lau, H. C., 245 Laurent, J.-P., 274 Lauterborn, J. C., 411 Lavidor, M., 425 Lavie, N., 196 Lavie, P., 265 Lavond, D. G., 387 Lavzin, M., 47 Lawden, M., 156 Lawley, H. J., 220 Lawrence, A. D., 357 Lazarus, M., 295 Lê, K.-A., 315 Leal, M. C., 251 Leamey, C. A., 153 Leaver, A. M., 192, 193 LeBar, K. S., 389 LeBihan, D., 128 Leckman, J. F., 333 Lederman, S. J., 181 LeDoux, J., 351 LeDoux, J. E., 368 Lee, A. M., 244 Lee, B. B., 155 Lee, B. K., 493 Lee, H. L., 98 Lee, J.-C., 488 Lee, K., 180 Lee, K. M., 127 Lee, M. G., 273 Lee, P. A., 341 Lee, P.-C., 250 Lee, S., 236 Lee, T., 486 Lee, T. M., 259, 262 Lee, Y., 22 Lee, Y.-J., 236 Léger, D., 273 Legrand, L. N., 461 Lehrer, J., 412 Lehrman, D., 328 Lehrman, D. S., 328 Leibel, R. L., 309 Leibniz, G., 4 Leibowitz, S. F., 310, 311, 314 Leichsenring, F., 473 Lein, E. S., 170 Leinders-Zufall, T., 220 Leitman, D. I., 481 Lelieveld, S. H., 418 LeMaster, M., 290 Lemos, B., 323 Leng, G., 55 Lenggenhager, B., 88 Lenhart, R. E., 470 Lennie, P., 155 Lenz, F. A., 130 Lenz, K. M., 326 Lenz, P. W., 164 Leo, R. J., 379 Leon, L. R., 295 Leon, M., 316 Lepore, F., 173 Lepore, F. E., 99 Leppämäki, S., 474

08202_nameindex_ptg01.indd 577 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

578 NAME INDEX

Leshchinskiy, S., 32, 213 Lesku, J. A., 281 Lettvin, J. Y., 437 Leu, A. N., 107 Leung, Y. Y., 276 Levai, O., 219 Levander, S., 364 LeVay, S., 345, 346, 347 Levenson, R. W., 456 Leventhal, A. G., 172 Leventhal, D. K., 236 Leveque, Y., 195 Levi-Montalcini, R., 122, 122, 144 Levin, E. D., 56 Levin, H., 136 Levine, A. S., 310 Levine, J. D., 55 Levine, S., 357 Levit, A., 214 Levitzky, W., 425 Levy, D. A., 395 Levy, H. L., 110 Levy, K. N., 455 Levy, N., 412 Lewinsohn, P. M., 469 Lewis, G. J., 418 Lewis, J. W., 454 Lewis, L. T., 171 Lewis, P. A., 269 Lewis, T. L., 173 Lewis, V. G., 347 Lewy, A. J., 260 Li. G., 118 Li, J., 180, 368 Li, L., 474 Li, N. P., 330 Li, P., 139 Li, Q., 443, 445 Li, S., 139, 171 Li, W., 250, 251 Li, X., 250, 295 Li, X. T., 471 Liang, F.-Q., 263 Liang, S.-L., 326 Liang, T., 461 Liao, L.-M., 341 Liberles, S. D., 220 Liberman, M. C., 195 Liberzon, I., 354 Libet, B., 244–246 Lichtenberger, L., 433 Lichtenstein, P., 342 Lie-Nemeth, T., 130 Lieberman, M. D., 205 Liebman, M., 315 Liebnau, R., 87 Lightman, S. L., 328 Lillycrop, K. A., 107 Lim, A. S. P., 270 Lim, B. K., 378 Lim, J.-H. A., 139 Lim, K. O., 485 Lim, M. M., 332 Lima, S. L., 281 Lin, C.-S., 84 Lin, D., 365 Lin, D. T., 411 Lin, D. Y., 219 Lin, G., 250 Lin, J.-S., 272 Lin, L., 277 Lindberg, S. M., 417 Linden, D. J., 411 Lindgren, L., 372 Lindner, A., 235

Lindquist, K. A., 355 Lindskog, M., 470 Lindström, P., 220, 345 Ling, S., 163 Lingford-Hughes, A., 463 Linkenkaer-Hansen, K., 203 Linn, M. C., 417 Linnoila, M., 364, 365 Liou, Y.-C., 293 Lipnevich, A. A., 262 Lipton, R. B., 132 Lisman, J., 411 Lisman, J. E., 54 Litt, M. D., 461 Little, T. J., 306 Liu, G., 57, 250 Liu, J., 180 Liu, J. P., 412 Liu, L., 178, 259, 315 Liu, P., 400 Liu, X., 264 Liu, Y., 208 Liu, Z.-W., 283 Lively, C. M., 321 Livingston, K. E., 362 Livingstone, M. S., 158, 177 Lo, J. C. Y., 283 Lock, E., 434 Lockhead, E., 213 Loe, I. M., 236 Loehlin, J. C., 417 Loewenstein, G., 359 Loewenstein, W. R., 200 Loewi, O., 50 Loewy, A. D., 301 Lohse, M., 180 Löken, L., 203 Loman, M. M., 126 Lomber, S. G., 191 Lomniczi, A., 107 Lømo, T., 228, 408 Long, J. D. II, 402 Long, M. A., 263, 434 Long, S. J., 344 Lönnqvist, J., 474 López, M., 309, 310 López-Barneo, J., 307 Lorrain, D. S., 328, 330, 463 Lorusso, M. L., 437 Lott, I. T., 390 Lotto, R. B., 156, 158, 184 Lotze, M., 141 Loughna, P. T., 228 Loui, P., 195 Lounasmaa, O. V., 94 Lowell, B. B., 310 Lu, A., 86 Lu, B., 471 Lu, H., 445 Lu, Z. X., 474 Lucas, R. J., 264 Lucassen, P. J., 125 Luczak, S. E., 93, 461 Luders, E., 325, 417 Ludwig, M., 55 Lugg, D. J., 379 Luikart, B. W., 93 Luiz, A. C., 299 Lumley, L. A., 321 Luna, B., 131, 236 Lund, J. S., 152 Lund, R. D., 152 Lundqvist, M., 389 Lunnon, K., 390 Lupien, S. P., 379

Lutgendorf, S., 354 Luttrell, A., 205 Lutz, B., 58 Luu, P., 236 Lyamin, O., 281 Lyamin, O. I., 281 Lyman, C. P., 281 Lynall, M.-E., 485 Lynn, S. J., 280 Lyons, M. J., 417, 469

Ma, Y., 437 Maassen, B. A. M., 437 MacCabe, J. H., 483 Macdonald, D. W., 367 MacDonald, K., 139 MacDonald, M. E., 253 Macdonald, R. L., 373 Macey, P. M., 276 MacFarlane, J. G., 275 MacFarquhar, L., 113 Machado, N. L. S., 299 MacLusky, N. J., 326 Macrae, C. N., 191 Madsen, H. B., 392 Madsen, P. T., 190 Maes, F. W., 213 Maes, H. H. M., 109 Maffei, A., 171 Magee, J. J., 429 Magnasco, M. O., 217 Magnuson, V. L., 343 Magoun, H. W., 271 Maguire, D., 398 Maguire, E. A., 397, 400 Mahler, S. V., 93, 310 Mai, N., 182 Mai, X. M., 314 Maier, S. F., 377, 378 Mainland, J. D., 219 Maj, M., 315 Majdan, M., 171 Malach, R., 166, 493 Maldonado, R., 58 Malenka, R. C., 379 Malhotra, S., 191 Malia, A., 398 Malik, S., 118 Malinow, R., 390 Mallet, N., 236 Mallick, B. N., 274 Mallis, M. M., 260 Malmberg, A. B., 208 Malone, T. W., 364, 460 Man, K., 87 Manani, J. V., 299 Manco, L., 314 Mancuso, K., 158 Mander, B. A., 270 Mandl, R. C. W., 485 Mandler, A., 178 Mandy, W., 493 Maner, J. K., 220 Manes, F., 453 Mangan, M. A., 277, 427 Manger, P. R., 18 Mangiapane, M. L., 300 Manji, H., 471 Mann, G. L., 273 Mann, J. J., 364 Mann, T., 315 Männistö, S., 250 Manohar, S. G., 453 Mantha, K., 124 Mantyh, P. W., 204, 207

08202_nameindex_ptg01.indd 578 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 579

Maquet, P., 236, 274 Marcar, V. L., 182 Marcel, A. J., 447 March, S. M., 461 Marcinowska, A., 472 Marcus, D. K., 342 Marek, R., 368 Maret, S., 283 Marin, M. M., 195 Mariño, G., 199 Mark, A. L., 308 Mark, G. P., 316 Markou, A., 464 Markowitsch, H. J., 390 Markowitz, J. C., 473 Markulev, C., 474 Marlatt, M. W., 125 Marlin, B. J., 454 Marois, R., 221 Marquié, J.-C., 261 Marrett, S., 182 Marris, E., 12 Marsden, C. D., 487 Marsh, J. K., 459 Marshall, J., 166 Marshall, J. C., 448 Marshall, J. F., 142 Marsicano, G., 58 Marsman, A., 488 Martens, M. A., 433 Martin, A., 114 Martin, C. E., 346 Martin, G., 153 Martin, N. G., 109 Martin, P. R., 155 Martin, R., 22 Martin, R. C., 436 Martin, S. D., 473 Martindale, C., 154 Martinez, V., 259 Martínez-Horta, S., 249, 252 Martínez-Orgado, J., 137 Martinez-Vargas, M. C., 328 Martinowich, K., 471 Maruff, P., 280 Marvin, E., 195 Masal, E., 260 Mascaro, J. S., 333 Masland, R. H., 149 Maslen, H., 412 Mason, M. F., 96 Mason, P., 205 Mason, R. T., 290 Massimini, M., 273, 283, 457 Masterton, R. B., 191 Mataga, N., 219 Mathews, G. A., 340 Mathias, C. J., 354 Mathies, R. A., 153 Matrisciano, F., 472 Matson, J. L., 494 Matsubara, S., 488 Matsumoto, Y., 280 Matsunami, H., 214 Mattavelli, G., 367 Mattes, R. D., 213 Matthys, W., 363 Mattingley, J. B., 448 Matuszewich, L., 328, 330, 463 Maurer, D., 171, 173 Maurice, D., 284 Maurits, N. M., 437 Maxwell, J. S., 357 May, P. R. A., 136 Maya Vetencourt, J. F., 472

Mayberg, H. S., 476 Mayberry, R. I., 434 Maydeu-Olivares, A., 363 Mayer, A. D., 333 Mazoyer, B., 425 Mazur, A., 328 Mazza, E., 283 Mazziotta, J. C., 94 McAllister, A. K., 484 McBride, C. S., 187 McBride, J. L., 253 McBurney, D. H., 213 McCall, C., 424, 454 McCarley, R. W., 284 McCarthy, M., 325, 326 McCarthy, M. M., 325, 326 McClarty, B., 372 McCleskey, E. W., 207 McClintock, M. K., 220 McClure, S. M., 131 McConnell, J. V., 406 McConnell, S. K., 124 McCormick, C. M., 342 McCoy, A. N., 168 McCrea, A. E., 344 McCullough, M., 455 McDermott, R., 363 McDonald, J. J., 443 McDonald, M. J., 321 McDonald, M. M., 359 McDonough, I. M., 132 McElroy, A. E., 211 McEwen, B., 376 McEwen, B. S., 292, 376, 381 McEwen, G. N., Jr., 295 McGaugh, J. L., 389 McGinty, D., 285 McGivern, R. F., 325 McGorry, P. D., 474 McGrath, J., 484 McGrath, J. J., 493 McGrillen, K., 214, 424 McGue, M., 417, 460, 461 McGuffin, P., 469 McGuire, S., 109 McGuire, S. A., 417 McHugh, P. R., 306 McIntyre, M., 328 McIntyre, R. S., 314 McKeever, W. F., 424 McKemy, D. D., 201 McKenzie, A., 130 McKenzie, I. A., 118 McKinnon, W., 379 McKnight, S. L., 265 McLellan, W. A., 294, 295, 464 McLeod, K., 469 McMenamin, B. W., 357 McMillan, K. A., 365 McNaughton, B. L., 93, 283, 399 McNay, E., 24 McNeil, R., 153 McNeill, D., 433 McQuilkin, M., 139 McStephen, M., 280 Meddis, R., 275 Mednick, S. A., 283, 484 Mednick, S. C., 269 Meduna, L., 473 Mehta, P. M., 365 Meier, M. H., 484 Meier, P. J., 23 Meijer, R. I., 24 Meiselman, H. L., 212 Meister, M., 122, 220

Meister, M. L. R., 453 Melby-Lervåg, M., 126 Melcher, J. R., 192 Melis, A. P., 418 Melloni, L., 443 Melone, M., 488 Meltzer, H. Y., 488 Meltzoff, A. N., 237 Melzack, R., 205, 208 Menaker, M., 263, 264 Menard, C., 469 Menchetti, M., 473 Mendel, G., 104 Mendelsohn, M., 119 Mendes, M. B., 359 Méndez-Bértolo, C., 368 Mendieta-Zéron, H., 309 Mendle, J., 324, 468 Menon, D. K., 136 Menon, V., 485 Mera, R. S., 392 Merad, M., 469 Merckelbach, H., 280 Mergen, H., 314 Mergen, M., 314 Merikangas, K. P., 476 Mérillat, S., 129 Merkley, T., 136 Merrow, M., 260, 262 Mertens, J., 476 Mervis, C. B., 433 Merzenich, M. M., 84, 140, 192 Mesgarani, N., 192, 196 Meshi, D., 119 Metcalf, S. A., 484 Metzinger, T., 88 Mevorach, C., 447 Meyer, B., 207 Meyer, J. R., 130 Meyer, K., 87, 191 Meyer-Bahlburg, H. F. L., 340, 341 Meyerhof, W., 214 Meyerhoff, J. M., 362 Meyer-Lindenberg, A., 433, 481, 484 Mezzanotte, W. S., 276 Miall, C., 244 Michalek, J., 328 Micheva, K. D., 56 Mickel, S. F., 390 Mierson, S., 213 Mihara, T., 454 Mika, A., 377 Milich, R., 304 Millan, M. J., 470 Miller, A., 363 Miller, A. C., 428 Miller, B. L., 456 Miller, C. A., 410 Miller, E. K., 447 Miller, G., 11, 331 Miller, G. A., 441 Miller, G. E., 379 Miller, I. N., 249 Miller, J., 245, 484 Miller, J. C., 474 Miller, J. F., 400, 453 Miller, L. A., 214, 424 Miller, R. J., 118 Miller, S. L., 220 Mills, R., 325 Milner, A. D., 177, 178, 235 Milner, B., 395 Milner, P., 462 Min, J., 314 Minard, A., 280

08202_nameindex_ptg01.indd 579 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

580 NAME INDEX

Mineur, Y. S., 310 Ming, G.-L., 119 Minkel, J. D., 280 Minto, C. L., 341 Mischel, W., 205 Misiura, M., 425 Misrahi, M., 339 Mistlberger, R. E., 259 Mitchell, D., 280 Mitchell, D. E., 172 Mitchell, D. G. V., 370 Mitchell, K. J., 221 Mitchison, G., 284 Mitra, P. P., 82, 83, 283 Mitre, M., 454 Mitura, K., 338 Miu, A. C., 368 Miura, A., 153 Miura, K., 244 Miyata, S., 299 Miyawaki, Y., 96 Miyazawa, A., 55 Mize, S. J. S., 212 Mochizuki, T., 277 Mody, I., 408 Moeller, S. J., 464 Moens, L. N., 483 Mok, M. Y., 220 Mokalled, M. H., 138 Molaison, H., 395 Molenda-Figueira, H. A., 324 Molina, J. C., 461 Molko, N., 128 Mölle, M., 269 Moller, H. J., 473 Molloy, K., 196 Mombaerts, P. A., 220 Monaco, A. P., 432 Monaghan, E. P., 344 Money, J., 324, 341, 347 Monk, T. H., 260 Monroe, S. M., 469 Montaguti, M. B., 473 Montaser-Kouhsari, L., 359 Monteleone, P., 315 Montgomery, K. J., 236 Montgomery, S. A., 471 Monti, M. M., 446 Monti-Bloch, L., 220 Montmayeur, J.-P., 214 Montoya, E. R., 365 Montplaisir, J., 273 Montrose, D. M., 486 Moody, T. D., 402 Moorcroft, W. H., 287 Moore, F. R., 282 Moore, L. B., 471 Moore, M. K., 237 Moore, S., 321 Moore, S. C., 139 Moore, T., 235 Moore, T. L., 398 Moore-Ede, M. C., 259, 270 Moorman, D. E., 310 Moors, A., 354 Mora, F., 319 Morales, J. M., 328 Moran, T. H., 306 Moratalla, R., 22 Moretti, A., 137 Morfini, G. A., 253 Morgan, C. A., III, 365 Morgan, C. P., 107 Morgan, V., 482 Mori, K., 219

Moriuchi, J. M., 493 Morland, A. B., 156 Morley, J. E., 310 Moro, M. A., 137 Moroney, D. N., 32, 213 Morquette, P., 22 Morran, L. T., 321 Morris, J. S., 370 Morris, M., 275 Morris, N. M., 330 Morris, R. G. M., 411 Morrison, A. R., 273 Morrison, J. H., 132 Morrison, S. F., 295 Morrone, M. C., 182 Morrongiello, B. A., 188 Morton, A. J., 277 Morton, G. J., 308 Moruzzi, G., 271 Moscarello, J. M., 368 Moscovitch, M., 96, 390, 399 Moser, D. J., 253 Moser, E. I., 400 Moser, H. R., 208 Moser, M.-B., 400 Moskowitz, H. R., 212 Moss, C. F., 187 Moss, M. B., 398 Moss, S. J., 54 Mott, M. L., 359 Mottaz, A., 246 Mrzljak, L., 488 Muccioli, M., 359 Mucke, L., 390 Mueller, K., 355 Mukhametov, L. M., 281 Mulcare, C. A., 304 Mulder, E., 126 Müller, H. D., 137 Muller, H. K., 379 Muller, Y. L., 314 Munoz, D. P., 236 Muñoz, M., 264 Murakami, I., 181 Muraskin, J., 153 Murata, Y., 138 Murphy, F. C., 357 Murphy, M. L. M., 379 Murphy, M. R., 328 Murphy, T. H., 139 Murray, E. A., 453 Murray, R. M., 485 Murrell, J., 390 Mursch, K., 370 Murty, N. A. R., 178 Murty, V. P., 389 Musacchia, G., 127 Mushiake, H., 236 Musiek, E. S., 391 Muto, A., 258 Myers, C. A., 416 Myers, C. E., 402 Myers, J. J., 428 Myers, M. G. Jr., 312 Mylander, C., 433

Näätänen, R., 203 Nachman, R., 484 Nadal, A., 323 Nader, R., 269 Naftolin, F., 326 Nagarajan, S., 437 Nagarajan, S. S., 130 Nagy, E., 231 Nah, S. Y., 207

Nahum, L., 390 Najt, P., 357 Nakamura, K., 295 Nakata, H., 153 Nakell, L., 427 Nalls, M. A., 250 Nam, J. Y., 363 Namgung, U., 411 Narayan, M., 221 Narr, K. L., 325, 416 Narrow, W. E., 468 Nassi, J. J., 150, 165, 181 Nataraj, K., 171 Nathans, J., 158 Naumer, M. J., 221 Navarrete, C. D., 359 Nave, G., 455 Neal, A., 236 Neargarder, S., 249 Nebes, R. D., 427 Nedergaard, M., 22 Nef, P., 219 Neher, J. J., 22 Neiderhiser, J. M., 109, 363 Nelson, A. B., 283 Nelson, B., 474 Nelson, C. A., 123 Nelson, D. L., 253 Nelson, R. J., 84 Nelson, S. B., 171 Nemes, A., 119 Nestler, E. J., 107, 468 Nestor, P. J., 403 Nesvag, R., 485 Netter, F. H., 322 Nettersheim, A., 283 Network and Pathway Analysis Subgroup, 459 Neufer, P. D., 228 Neuhausser, W. M., 201 Neumann, I. D., 328 Neumeister, A., 471 Neville, H. J., 127, 434, 435 Nevin, R., 363 Nevo, E., 264 New, M. I., 341 Newcombe, N. S., 417, 488 Newell, F. N., 221 Newsome, W. T., 453 Nguyen, L. N., 390 Niaura, R., 464 Nicklas, W. J., 250 Nicolelis, M. A. L., 84, 244, 300 Nicoll, R. A., 408 Nicolson, N. A., 468 Nielsen, J., 113 Nielsen, S. J., 315 Nieuwenhuys, R., 75, 77, 78 Nijboer, T. C. W., 447 Nikolova, Y. S., 368 Nilsson, G. E., 416 Nilsson, S., 472 Nimmo-Smith, I., 357 Nir, Y., 285 Nishida, S., 156 Nishimaru, H., 54 Nishimura, Y., 138 Nishita, J. K., 325 Nishizawa, K., 241 Nitabach, M. N., 265 Nitsch, C., 345 Nitz, D. A., 244 Niv, M. Y., 214 Niv, Y., 272 Nóbrega, C., 314 Noda, M., 299

08202_nameindex_ptg01.indd 580 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 581

Noe, A., 99 Nogueiras, R., 310 Nomura, M., 300 Nopoulos, P., 253 Nørby, S., 389 Nordenström, A., 340, 341 Norgren, R., 214 Norman-Haignere, S. V., 195 Norris, A. L., 342 North, N. T., 353 Nosenko, N. D., 344 Nottebohm, F., 119 Novak, S., 141 Novarino, G., 494 Nowak, P., 139 Nugent, B. M., 326 Nugent, F. S., 409 Numan, M., 352 Nunez, A. A., 324 Nutt, D. J., 463 Nuutila, A., 364 Nuutinen, S., 272 Nyberg, L., 372 Nystrom, L. E., 359

Obeso, I., 249, 250 O’Brien, R. C., 281 Obuchowicz, E., 472 O’Carroll, R. E., 353 Ochsner, K. N., 354 O’Connor, M., 398 Oelmann, H., 221 Oertel-Knöckel, V., 357 Offidani, E., 373 Ohlsson, H., 417 Ohmori, H., 35 Oka, Y., 299 Okado, H., 299 Okaichi, H., 400 O’Kane, G., 396 Okbay, A., 418 O’Keefe, J., 400 Okhovat, M., 332 Olanow, C. W., 251 Olausson, H., 203 Olds, J., 462 Oler, J. A., 367 Olff, M., 455 Oliver, G., 456 Olkowicz, S., 416 Olney, J. W., 488 Olson, E. J., 277 Olson, I. R., 403 Olson, K. R., 114 Olsson, A., 331 Olsson, M. J., 216 Olton, D. S., 400 Olufowobi, A., 332 O’Malley, K. L., 250 Oner, C., 314 Oner, R., 314 Ong, P. K. C., 220 Ono, M., 290 Onoda, N., 211 Onoe, H., 290 Oostenbroeck, J., 237 Ophir, A. G., 332 O’Regan, J. K., 446 Orlovsky, G. N., 230 Ornstein, R., 457 O’Roak, B. J., 493 O’Rourke, N. A., 56 Orr, H. T., 253 Orr, J. M., 98 Ortigue, S., 454

Orzi, F., 56 Osborne, J., 119 Oshima, T., 136 Oshinsky, M. L., 265 Oswald, I., 275 Otowa, T., 371 Ottersen, O. P., 24 Ousley, A., 264 Ousman, S. S., 24 Oveis, C., 354 Overall, N. C., 418 Overbeek, G., 363 Overduin, J., 306 Oxenham, A. J., 192 Oxley, D. R., 369 Ozata, M., 314 Ozdoba, J. M., 32, 213

Pabst, D. A., 294, 295 Pace-Schott, E. F., 284 Packer, A. M., 93 Padilla, S. L., 310 Padoa-Schioppa, C., 454 Paffen, C. L. E., 443 Pail, G., 475 Pallas, S. L., 124 Paller, K. A., 128 Pallie, W., 425 Palmeri, T. J., 221 Palmiter, R. D., 310 Palop, J. J., 390 Palva, J. M., 203 Palva, S., 203 Pan, F., 125 Pandey, G. N., 364 Panossian, A., 471 Panov, A. V., 253 Pantev, C., 128 Panula, P., 272 Papafrangos, E. D., 281 Papas, B. C., 400 Paradiso, M. A., 171 Parbery-Clark, A., 196 Pardal, R., 307 Pardini, D. A., 131 Paré, D., 367, 408 Paredes, P., 118 Parent, M. B., 284 Parise, E., 93 Parisi, T., 130 Park, D. C., 132 Park, I. S., 239 Park, J. E., 469 Park, K. F., 183 Park, S., 485 Parker, C., 482 Parker, G. H., 211 Parker, J., 11 Parks, C., 344 Parmar, B. L., 203 Parrish, R. C. II, 321 Parton, L. E., 310 Partonen, T., 474 Parvaz, M. A., 464 Parvizi, J., 180 Pascual, A., 22, 123 Pascual-Leone, A., 92, 130 Pase, M. P., 412 Pashler, H., 446 Passingham, R. E., 245 Pasterski, V., 340 Pasterski, V. L., 340 Pastore, M., 324 Patel, N., 454 Patel, S., 474

Pato, M., 476 Pattatucci, A. M. L., 343 Patterson, K., 403 Patterson, R. D., 192 Paul, S. M., 373 Paulesu, E., 437 Paus, T., 182 Pavani, F., 448 Pavlov, I. P., 384, 392, 406 Pavlova, G. A., 230 Pawitan, Y., 250 Payne, J. D., 283 Pearl, D. K., 244 Pearson, A. J. D., 275 Pearson, H., 228 Peck, C. J., 370 Peckham, W., 344 Pedersen, N. L., 250 Peelen, M. V., 179, 445 Peelle, J. E., 196 Peeters, R., 7 Peever, J. H., 273, 277 Pegna, A. J., 166 Peigneux, P., 283 Peineau, S., 408 Pelchat, M. L., 304 Peleg, G., 104 Pelham, W. E., 304 Pelleymounter, M. A., 308 Pelli, D. G., 152 Pellis, S. M., 249, 362 Pellis, V. C., 249 Pellman, B., 372 Pelluru, D., 272 Pembrey, M. E., 107, 432 Penagos, H., 192 Penfield, W., 85, 395, 405 Peng, G., 434 Peng, Y., 214 Penhune, V. B., 128 Penick, S. C., 409 Penke, L., 416 Penmatsa, A., 470 Penney, J., 391 Pennisi, E., 418 Pennycook, G., 273 Pentland, A., 364 Penzo, M. A., 367 Peper, J. S., 131 Pepinsky, B., 139 Pepperberg, I. M., 431 Perea, G., 22 Pereda, A. E., 59 Pereira, M., 332 Perera, T. D., 474 Peretti, D., 280 Peretz, I., 195 Pérez, N., 353 Perlow, M. J., 251 Perot, P., 405 Perrone, J. A., 181 Perry, S. H., 158 Pert, C., 205 Pert, C. B., 57 Peru, A., 448 Pesold, C., 373 Pestilli, F., 166 Peteanu, L. A., 153 Peters, F., 468 Peters, R. M., 200 Peterson, C., 392 Peterson, C. K., 354, 363 Peterson, E. W., 244 Peterson, L. R., 388 Peterson, M. A., 325

08202_nameindex_ptg01.indd 581 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

582 NAME INDEX

Peterson, M. J., 388 Peterson, R. E., 341 Petersson, K. M., 207 Petit, D., 273 Petit, L., 425 Petitto, L. A., 435, 436 Petkova, V. I., 88 Petrie, M., 217 Petrosini, L., 239 Petrovic, P., 207 Petterson, L. J., 343 Pettigrew, J. D., 150 Pezzoli, G., 250 Pfaff, D. W., 381 Pfaffmann, C., 214 Pfaus, J. G., 463 Pfefferbaum, A., 485 Pfeifer, J., 195 Pfister-Genskow, M., 283 Pham, H., 465 Phan, K. L., 354 Phelps, E. A., 389 Phelps, M. E., 94 Phelps, S. M., 332 Philip, P., 262 Phillips, A. G., 463 Phillips, B., 290 Phillips, N. H., 280 Phuong, L., 403 Piazza, M., 85 Picasso, L., 403 Picconi, B., 241 Pickard, J. D., 136 Pierson, D. L., 379 Pieters, T., 399 Pietropaolo, S., 125 Pietschnig, J., 416 Pillow, J. W., 453 Pilon, M., 277 Pinel, P., 85 Pinker, S., 433 Pinkston, J. W., 131 Pinsker, H., 407 Pinto, L., 22 Pishnamazi, M., 370 Pitossi, F. J., 251 Pizarro, D., 311 Pizarro, I. V., 138 Pizzagalli, D. A., 470 Plailly, J., 219 Plaisant, O., 435 Plakas, A., 437 Plant, G. T., 178 Platje, E., 365 Platt, M. L., 455 Plihal, W., 283 Pliskin, N. H., 485 Plomin, R., 109, 418 Plum, F., 312 Plutchik, R., 352 Pochedly, J. T., 356 Podd, M. H., 485 Poduslo, S. E., 113 Poeppel, D., 196 Pol, H. E. H., 485 Poldrack, R. A., 95, 244, 402 Polizzotto, N. R., 416 Polk, T. A., 447 Pollok, B., 195 Polsky, A., 47 Pomeroy, W. B., 346 Pommer, J., 284 Pons, T. P., 140 Pontieri, F. E., 56 Poo, M., 411

Pope, H. G., Jr., 316 Pope, S. M., 425 Popkin, B. M., 315 Porter, J., 217 Poryazova, R., 93 Posel, B., 113 Posner, S. F., 109 Post, R. M., 468 Posthuma, D., 417 Potegal, M., 362 Pothos, E., 316 Potter, M. C., 125 Pouchelon, G., 124 Poulin, M. J., 455 Poulos, A. M., 387 Poulsen, A. T., 273 Power, R. A., 469 Prasad, S., 166 Pratt, J., 340 Pratte, M. S., 163 Preckel, F., 262 Premack, A. J., 430 Premack, D., 430 Prescott, C. A., 469 Preskorn, S. H., 470, 471 Preti, G., 220 Pribram, K. H., 236 Price, C. J., 128, 312 Price, D. D., 205 Priftis, K., 447 Prom-Wormley, E., 363 Provine, R. R., 117, 230, 231 Prutkin, J., 214 Pryaslova, J., 281 Ptácek, L. J., 265 Ptak, R., 390 Puca, A. A., 113 Pudas, S., 132 Puls, I., 461 Puneeth, N. C., 179 Purcell, D. W., 344 Purcell, S. M., 483 Purves, D., 125, 153, 156, 157, 158, 168, 184 Purves, H. R., 168 Putnam, S. K., 328 Puzziferri, N., 315 Pytte, C., 283

Qu, X. G., 474 Queen, T. L., 132 Quinn, N. P., 487 Quirin, M., 365

Race, E., 397, 402 Rada, P. V., 316 Radoeva, P. D., 166 Rae, D. S., 468 Raghavachari, S., 54, 411 Rahman, Q., 342, 343, 344 Rainville, P., 205 Rajaram, S., 390 Rajarethinam, R., 486 Rakic, P., 118 Ralph, M. A. L., 269 Ralph, M. R., 263, 264 Ramachandran, V. S., 140, 141, 144, 221 Ramirez, J. J., 139 Ramírez, Y., 153 Ramon y Cajal, S. See Cajal Ran, C., 201 Randall, P. K., 312 Randler, C., 262 Rangel, A., 359 Ransley, P. G., 341 Rantamäki, T., 472

Rapoport, S., 47 Rapoport, S. I., 24 Rasch, B., 284 Raschle, N. M., 437 Rasmussen, T., 85 Ratcliff, M., 263 Rattenborg, N. C., 281, 282 Rauch, S. L., 368 Raum, W. J., 325 Rauschecker, A. M., 181 Rauschecker, J. P., 192, 193 Rauskolb, S., 123 Ravussin, Y., 309 Rawlings, R., 365, 484 Rawlins, M. D., 251 Rechenberg, K., 474 Redick, T. S., 126 Redish, A. D., 400, 453 Redmond, D. E., Jr., 251 Redondo, R. L., 411 Reed, D. R., 214 Reed, F. D. D., 494 Reeder, R. R., 445 Reeve, R., 346 Reeves, A. G., 312 Refinetti, R., 259, 263, 287, 292 Regan, T., 11 Regier, D. A., 468 Rehavi, M., 484 Reichelt, K. L., 481 Reichelt, W. H., 481 Reick, M., 265 Reid, C. A., 411 Reid, R. C., 166 Reilly, T. J., 485 Reineberg, A. E., 98 Reiner, W. G., 340 Reinius, B., 326 Reisert, I., 323 Reisner, A. D., 473, 474 Reith, M. E. A., 57 Reithler, J., 96 Rennaker, R. L., 219 Rensch, B., 4 Rensink, R. A., 446 Renthal, W., 107 Renzel, R., 93 Renzi, A., 299 Resko, J. A., 346 Ressler, K. J., 107 Restrepo, C. E., 54 Reunanen, A., 250 Reutens, D. C., 433 Reuter-Lorenz, P., 357 Reuter-Lorenz, P. A., 428 Revusky, S., 465 Reyes, P., 443 Reynolds, C. P., 379 Reynolds, J. R., 237 Reynoso, J. T., 464 Reznikov, A. G., 344 Rhees, R. W., 325 Rhodes, J. S., 125 Riby, D. M., 433 Riby, L. M., 433 Ricciardi, E., 237 Rice, D. P., 321 Rice, G., 343 Rice, W. R., 343 Rich, E. L., 454 Richard, C., 447 Richards, K., 141 Richardson, G. S., 259 Richardson, H., 127 Richter, C., 258, 262

08202_nameindex_ptg01.indd 582 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 583

Richter, C. A., 325 Richter, C. P., 187, 262, 263, 300 Richter, M., 281 Ridaura, V. K., 315 Riecansky, I., 207 Rieger, G., 342, 343 Riek, R., 390 Riemann, D., 474 Rieske, R. D., 494 Rietveld, C. A., 109 Rigoni, D., 246 Rilling, J. K., 332, 333 Ringach, D., 11 Riolo, J. V., 463 Risch, N., 343, 493 Risi, M. M., 249 Rissanen, H., 250 Ritchie, J. M., 36, 416 Rittenhouse, C. D., 171 Ritz, B., 250 Riva-Posse, P., 476 Rizzi, G., 310 Rizzolatti, G., 236 Ro, T., 221 Robbins, T. W., 453, 465 Roberson, D., 356 Roberson, D. P., 208 Roberts, R. D., 262 Roberts, S. C., 217 Robertson, I. H., 88 Robins, L. N., 468 Robinson, A. M., 125 Robinson, M. J. F., 300 Robinson, P. J., 24 Robison, S., 362 Rockstroh, B., 128 Roddenberry, D., 398 Roden, L. C., 260 Rodenberg, C. A., 330 Röder, B., 87, 132 Rodgers, A. B., 107 Rodriguez, C. A., 131 Rodriguez, I., 220 Rodríguez-Lopez, R., 314 Roe, A. W., 203 Roe, D., 434 Roenneberg, T., 260, 262 Rogers, R. D., 245 Rogers, T. T., 403 Rohde, P., 469 Roitman, M. F., 463 Roizman, S., 220 Rojas, L. M., 153 Rokem, A., 166 Rokers, B., 181 Rolls, E. T., 217, 312 Romanovsky, A. A., 377 Romeo, R. D., 344 Romero, A., 310 Romero, E., 253 Romijn, A., 469 Rommel, S. A., 294, 295 Romundstad, P., 314 Roney, J. R., 330 Rönnback, L., 24 Roorda, A., 152, 154 Roper, S. D., 213 Roppel, R. M., 482 Rorden, C., 448 Rosano, C., 236 Rosanova, M., 446 Rose, J. E., 56, 191 Rose, R. J., 461 Rose, T., 171 Roselli, C. E., 346

Rosen, H. J., 429 Rosen, T. J., 142 Rosenbaum, R. S., 397, 398 Rosenblatt, J. S., 332, 333 Rosene, D. L., 398 Rosenkranz, K., 130 Rosenzweig, M. R., 125, 207 Roska, B., 93 Ross, E. D., 429 Ross, J., 182 Ross, R. J., 273 Rossi, A., 416 Rossi, A. F., 447 Rossi, D. J., 136 Rossi, E. A., 152 Rossi, S., 416 Roth, B. L., 488 Roth, G., 416 Roth, H. P., 465 Roth, M. M., 169 Rothwell, J. C., 130, 249 Rothwell, P. E., 379 Rotshtein, P., 390 Rottenberg, J., 468 Rousseaux, M., 447 Routtenberg, A., 312, 411, 412 Rouw, R., 221 Rovet, J. F., 340 Rowland, B. A., 87 Roy, A., 364 Royer, S., 408 Rozin, P., 300, 304, 384, 390 Rubens, A. B., 179 Rubin, B. D., 218 Rubin, D. C., 372 Rubin, N., 236 Rubinow, M. J., 291 Rubinstein, G., 482 Ruch, K., 139 Rucklidge, J. J., 469 Ruddock, K. H., 156 Rudebeck, P. H., 453 Ruffino, M., 437 Rugg, M. D., 95 Ruhf, A., 300 Rumbaugh, D. M., 430, 431 Running, C. A., 213 Rupprecht, R., 329 Rusak, B., 259 Ruschel, J., 139 Rusou, D., 434 Russell, J. A., 356, 357 Russell, M. J., 220 Russo, N. M., 128 Russo, S. J., 468, 469 Rust, J., 327 Rüter, J., 178 Rütgen, M., 207 Rutledge, J. N., 417 Rutstein, J., 295 Ruttenber, A. J., 250 Rüttiger, L., 155 Ruyle, A. M., 219 Ryge, J., 54

Saad, W. A., 299 Sääksjärvi, K., 250 Saarma, M., 123 Sabatinelli, D., 463 Sabatini, B. L., 54, 250 Sabo, K. T., 84 Sacchetti, E., 485 Sack, R. L., 260 Sacks, O., 180–181, 184 Sacktor, T. C., 412

Sadato, N., 127 Sadri-Vakili, G., 107 Sagarin, B. J., 338 Sagaspe, P., 262 Sagi, D., 442 Sah, P., 368 Sah, S., 262 Saitoh, O., 434 Saj, A., 448 Sajda, P., 153 Sakai, K., 272 Sakal, R. R., 300 Sakurai, T., 273 Salinsky, M., 93 Salmelin, R., 94 Salthouse, T. A., 126 Saltin, B., 228 Salz, T., 400 Salzman, C. D., 370 Samara, M. T., 488 Sami, M. B., 138 Samochowiec, A., 461 Samochowiec, J., 461 Sampson, P. D., 461 Sams, M., 88, 94, 127 Samuels, B. A., 472 Sanacora, G., 471 Sanai, N., 119 Sánchez, M., 353 Sanchez-Alavez, M., 295 Sánchez-Navarro, J. P., 359 Sanders, A. R., 281, 343, 493 Sanders, M. D., 166 Sandrini, M., 92 Sanes, J. N., 233 Sanfey, A. G., 455 Sanford, L. D., 273 Sanger, T. D., 130 Sanislow, C. A., 459 Santarnecchi, E., 416 Sanyal, S., 264 Saper, C. B., 295, 299, 377, 378 Sapolsky, R., 376 Sapolsky, R. M., 377, 379 Saporito, M., 250 Sara, S. J., 269 Saraiva, L. R., 219 Sargolini, F., 400 Sarris, J., 471 Sarter, M., 259 Sartori, G., 246 Sasaki, M., 290 Satinoff, E., 291, 295 Sato, M., 171 Sato, S., 328 Saunders, A., 241 Savage, R. C., 132 Savage-Rumbaugh, S., 430, 431, 431 Savic, I., 220, 331, 345, 417 Savin-Williams, R. C., 342 Savion-Lemieux, T., 128 Savoie, T., 486 Savulescu, J., 412 Saxe, R., 127 Saxton, T. K., 220 Scammell, T. E., 377 Schaal, N. K., 195 Schäbitz, W.-R., 137 Schacher, S., 407 Schacter, D. L., 390, 397 Schaefer, H. S., 379 Schaeffer, M. A., 379 Schal, C., 321 Schalling, D., 364 Scharb, A. A., 275

08202_nameindex_ptg01.indd 583 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

584 NAME INDEX

Schauder, K. B., 493 Scheele, D., 454 Scheibel, A. B., 118, 390 Schellenberg, E. G., 195 Schenck, C. H., 277 Schenk, T., 178, 182 Schenker, N., 86 Scherrer, G., 205 Schetter, S. P., 398 Schiffman, S. S., 187, 211, 212, 213 Schiller, J., 47 Schilström, B., 470 Schindler, D. E., 303 Schizophrenia Working Group, 483 Schlack, A., 181 Schlaug, G., 128, 130, 195 Schlerf, J., 240 Schlinger, H. D., Jr., 114 Schmid, A., 366 Schmid, M. C., 166 Schmidt, L. A., 357 Schmidt, O. G., 321 Schmidt, R., 236 Schmidt-Hieber, C., 119 Schmitt, J. A. J., 305 Schmitt, K. C., 57 Schmitz, S., 345 Schneider, B. A., 188 Schneider, P., 127 Schneider, S., 262 Schnider, A., 390 Schnitzer, M. J., 411 Schnitzler, H.-U., 366 Schoenbaum, G., 454 Schoenlein, R. W., 153 Scholey, A., 471 Scholte, H. S., 169, 221 Schomacher, M., 137 Schomers, M. R., 244 Schoppa, N. E., 164 Schotland, P., 264 Schott, B. H., 461 Schroeder, C. E., 196, 481 Schroeder, J. A., 213 Schröter, M. S., 446 Schuckit, M. A., 462 Schull, J., 384 Schultz, R., 417 Schulz, K. M., 324 Schumann, C. M., 493 Schutter, D. J. L. G., 331 Schwab, S., 137 Schwartz, C. E., 368 Schwartz, G., 343, 344 Schwartz, G. J., 306 Schwartz, J. A., 418 Schwartz, J. H., 408 Schwartz, J. M., 326 Schwartz, L., 465 Schwartz, M., 341 Schwartz, M. F., 236 Schwartz, M. W., 308 Schwartz, N., 203 Schwarzenbacher, K., 219 Schweinhardt, P., 205 Schweitzer, I., 471 Schweitzer, J. B., 131 Schwob, J. E., 219 Scofield, M. D., 464 Scognamiglio, P., 315 Scott, D. J., 207 Scott, S. H., 235 Scott, S. K., 128 Scoville, W. B., 395 Scullin, M. K., 270, 275

Sealey, L. A., 493 Seckl, J. R., 328 Seeherman, K. R., 236 Seeley, R. J., 306 Seeman, P., 486 Seery, M. D., 379 Seessau, M., 236 Segal, N. L., 108, 417 Segerstrom, S. C., 379 Seghier, M. L., 180 Sehgal, A., 264, 265 Seid, M. A., 416 Seidel, E.-M., 207 Seigel, E. H., 444 Seim, A. R., 481 Seitz, K. S., 424 Sekar, A., 483 Sekeres, M., 399 Selkoe, D. J., 390 Selten, J. P., 481 Selye, H., 376, 377, 380 Selzer, M. E., 138 Semendeferi, K., 86 Semenya, S. W., 342 Semin, G. R., 217, 237 Seminowicz, D. A., 205 Semjen, A., 427 Sen, S., 469, 471 Senghas, A., 354 Sens, E., 142 Seong, S. J., 469 Seow, Y.-X., 220 Sereno, A. B., 482 Sergent, C., 445, 446 Serrano, P., 411 Serritella, C., 315 Servin, A., 340 Sethi, J., 295 Settle, R. G., 220 Sevcik, R. A., 430 Severens, M., 164 Seyfarth, R. M., 430 Shackman, A. J., 357 Shadlen, M. N., 453 Shadmehr, R., 251 Shadwick, R. E., 292 Shah, B., 290 Shah, N. M., 345 Shalev, A. Y., 371 Shalev, L., 447 Shalvi, S., 455 Shank, C. V., 153 Shapiro, C. M., 280 Shapiro, E., 362 Sharbaugh, S. M., 303 Sharma, J., 124 Sharpley, C. F., 470 Shatz, C. J., 122, 122, 170, 171 Shaw, D. J., 237 Shawa, N., 260 Shea, S. D., 219 Shedden, K., 469 Shelton, S. E., 367 Shema, R., 412 Shen, H., 371 Shen, X., 250 Shenhav, A., 359 Shepherd, G. M. G., 82, 418 Sher, L., 364 Sherk, H., 172 Sherrington, C., 42–44, 42, 45, 46–47, 48, 49,

50, 53–54, 62, 231, 408 Sherwin, J., 153 Shiflett, M. W., 119 Shih, R. A., 469

Shima, K., 236 Shimada-Sugimoto, M., 371 Shimojo, S., 156 Shimpi, A., 156 Shin, L. M., 368 Shine, R., 290 Shipp, S., 177 Shiromani, P. J., 272 Shiv, B., 359 Shizgal, P., 463 Shohamy, D., 315, 402 Shore, S., 493 Short, M. M., 392 Shoulson, I., 252 Shouval, H. Z., 171 Shrager, Y., 395 Shryne, J. E., 325 Shryne, J. H., 325 Shu, H., 437 Shulman, E. P., 131 Shusta, E. V., 24 Siamouli, M., 473 Siebert, E. R., 327 Siegel, C. S., 139 Siegel, H. I., 332 Siegel, J., 281 Siegel, J. M., 280, 283 Siegel, S., 465 Siegel, S. J., 454 Siegelbaum, S. A., 411 Sigmundson, H. K., 341 Silber, B. Y., 305 Silber, M. H., 277 Silk, J. B., 113, 455 Silva, B. A., 312 Silventoinen, K., 314 Silver, R. A., 47 Silvers, J. A., 368 Simion, F., 180 Simmons, A. M., 187 Simmons, W. K., 230 Simmons, Z. L., 330 Simner, J., 221 Simon, B., 114 Simon, S. A., 300 Simone, D. A., 208 Simons, D. J., 126 Simonyan, K., 433 Simpson, E. H., 486 Simpson, J. A., 337, 418 Simpson, J. B., 300 Sincich, L. C., 183 Singer, T., 205, 454 Singer, W., 443 Singh, S., 274 Singh, S. M., 124 Singh, V., 96 Singleton, J., 433 Sinha, P., 173 Sinigaglia, C., 236 Siopi, E., 468 Sirigu, A., 203 Sirotin, Y. B., 95 Sisk, C. L., 324 Sisodia, S., 390 Sitomer, M. T., 379 Sjöström, M., 228 Sjöström, P. J., 411 Skaredoff, L., 362 Skene, D. J., 259 Skinner, M. D., 465 Skitzki, J. J., 295 Skoe, E., 127, 128 Skorska, M. N., 342 Slachevsky, A., 443

08202_nameindex_ptg01.indd 584 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 585

Slater, P. J. B., 7 Slavich, G. M., 107, 379 Sloan, A. M., 219 Sloan, D. M., 468 Slobodskaya, H. R., 357 Smania, N., 141, 448 Smart, T. G., 54 Smeets, M. A. M., 217 Smidts, A., 455 Smielewski, P., 136 Smilek, D., 447 Smith, C. T., 269 Smith, E. E., 205, 447 Smith, F. J., 308 Smith, G. B., 170 Smith, G. P., 306 Smith, J. C., 140 Smith, K., 482 Smith, K. S., 93 Smith, L. T., 406 Smith, M. A., 251 Smith, M. E., 412 Smith, M. J., 427 Smith, M .J. L., 353 Smith, M. R., 447 Smith, R. J., 310 Smith, R. L., 312 Smith, S. J., 56, 121 Smith, T. L., 462 Smolen, A., 464 Smolker, H. R., 98 Smulders, T. V., 119 Snyder, D., 470 Snyder, L. H., 235 Snyder, S., 205 Snyder, S. G., 274 Snyder, S. H., 57 Sobota, R., 454 Soczynska, J. K., 314 Soden, M. E., 310 Sodersten, P., 316 Södersten, P., 327 Sofroniew, M. V, 22 Sohn, J. H., 469 Solms, M., 270, 285, 390 Solomon, S. G., 155 Solter, A., 392 Sommer, C., 137 Sommerville, R. B., 359 Song, H., 119 Song, K., 295 Song, Y., 180 Sonmez, I., 344 Soon, C. S., 246 Sorensen, K. A., 164 Sorger, B., 96 Sorjonen, K., 331 Southwell, D. G., 123, 171 Southwick, S. M., 365 Spalding, K. L., 119 Spangler, R., 316 Spanjers, K., 474 Spear, L. P., 131 Spear, N. E., 461 Spearman, C., 415 Spector, T., 343 Speer, N. K., 237 Spelke, E. S., 417 Spence, I., 340 Spencer, R. M. C., 239 Sperandie, I., 166 Sperling, A. J., 119 Sperry, L., 371 Sperry, R., 427 Sperry, R. W., 120, 120, 134, 428

Spezio, M. L., 370 Spiegel, T. A., 306 Spindler, K. A., 485 Spinelli, D., 437 Spiro, A. III, 113 Spitzer, N. C., 54 Spoletini, I., 484 Spotts, J. L., 274 Spreux-Varoquaux, O., 364 Squire, L. R., 390, 395, 398, 402 Squires, T. M., 199 St. George, M., 433 Stadelman, H., 346 Staggs, D., 166 Stahl, B. H., 483 Stallen, M., 454 Stalnaker, T. A., 454 Stam, C. J., 485 Stamatakis, A. M., 310 Stanford, L. R., 28 Stanford, T. R., 87 Stanley, J., 244 Starbuck, E. M., 300 Stark, J., 127 Stark-Adamec, C., 362 Starr, C., 60, 61, 72, 227 Steele, C. J., 128 Steffens, B., 148 Stein, B. E., 87 Stein, D. G., 136 Stein, J. L., 493 Stein, M. B., 372 Stein, T., 445 Steinberg, L., 131 Steinecke, A., 483 Steinert, C., 473 Steinglass, J. E., 316 Steinhoff, B. J., 370 Stellar, J. E., 354 Stellflug, J. N., 346 Stensola, H., 400, 401 Stephan, K. E., 235 Stephens, T. W., 310 Stepniewska, I., 235 Sterling, P., 292 Stern, W. E., 312 Stevens, B. L., 207 Stevens, C. F., 119, 153, 154 Stevenson, R. J., 87, 214, 424 Steward, O., 400 Stewart, J. W., 471 Stewart, L., 195 Stice, E., 314, 315 Stickgold, R., 284, 398 Stiles, J., 180 Stillman, P., 368 Stohs, J. H., 417 Stoke, P. R. A., 463 Stokes, M., 166 Stolzenber, D. S., 333 Storey, A. E., 333 Storey, J. M., 293 Storey, K. B., 293 Stormshak, F., 346 Stough, C., 412, 471 Stover, J., 136 Stowe, R. P., 379 Strathearn, L., 333 Strauss, M. E., 468 Streissguth, A. P., 461 Stricker, E., 295, 300, 312 Striemer, C. L., 166 Stringer, R. L., 124 Strittmatter, W. J., 139 Strobel, C., 368

Stroebele, N., 315 Strotmann, J., 219 Struder, B., 453 Stryker, M. P., 171, 172 Stuber, G. D., 310, 312 Sturm, V. E., 456 Stuss, D. T., 87 Stylos-Allan, M., 283 Su, J., 445 Suez, J., 315 Sugai, T., 211 Sugamura, G., 354 Suk, H. W., 469 Sullivan, E. V., 485 Sun, J., 412 Sun, Y.-G., 208 Sunderland, T., 203 Sundquist, J., 417 Sundquist, K., 417 Sur, M., 84, 124, 153 Surén, P., 493 Sutterland, A. L., 484 Sutton, A. K., 310 Sutton, B. C., 259 Sutton, L. C., 205 Sutton, R. L., 138 Suzdak, P. D., 373 Suzuki, M., 475 Svartdal, F., 221 Swaab, D. F., 324, 345, 346 Swain, G. P., 138 Swain, J. E., 333 Swallow, D. M., 304 Swallow, K. M., 237 Swan, S. H., 328 Sweeney, J. A., 236, 486 Sweet, E. S., 391 Swerdloff, A. F., 312 Switz, G. M., 220 Swoboda, H., 371 Syme, D. A., 292 Szabó, G., 373 Sztainberg, Y., 492 Szymusiak, R., 285

Tabakoff, B., 373 Tabarean, I. V., 295 Taber-Thomas, B. C., 359 Tabibnia, G., 346 Tabrizi, S. J., 251 Taddese, A., 207 Tadi, T., 88 Tadin, D., 166, 493 Tagawa, Y., 171 Tager-Flusberg, H., 433 Taggart, R., 60, 61, 72, 227 Taghert, P. H., 265 Tai, L.-H., 244 Taillard, J., 262 Takahashi, M., 411 Takahashi, S., 273 Takano, T., 22 Takao, M., 264 Takehara-Nishiuchi, K., 399 Takemura, H., 181 Takeuchi, T., 389 Talbot, L. S., 476 Tamaki, M., 96 Tamietto, M., 166 Tan, A., 244 Tanaka, J., 300 Tanaka, J. N., 181 Tanaka, M., 316 Tanaka, Y., 192 Tanda, G., 56

08202_nameindex_ptg01.indd 585 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

586 NAME INDEX

Tandon, N., 399 Tandon, S., 300 Tang, Y., 250 Tangel, D. J., 276 Tanji, J., 236 Tanner, C. M., 250 Tappy, L., 315 Tarampi, M. R., 340 Taravosh-Lahn, K., 364 Tarsy, D., 130 Tarussio, D., 310 Tatagiba, M., 181 Tate, R., 136 Tatsuno, M., 283 Tattersall, G. J., 290, 292 Taub, E., 128, 142 Taylor, A. N., 325 Taylor, C. S. R., 235 Taylor, M. A., 482 Taylor, S. F., 354 Tchernichovski, O., 283 Teff, K. L., 315 Teicher, M. H., 475 Teitelbaum, P., 249 Terburg, D., 364, 365 Terwilliger, R., 131 Terzaghi, M., 273 Teslovich, T., 131 Tesoriero, C., 276 Tetrud, J. W., 250 Thangaraj, V., 233 Thannickal, T. C., 276 Thase, M. E., 473 Thernstrom, M., 223 Theunissen, F. E., 192, 424 Theusch, E., 195 Thiel, C. M., 235 Thiele, A., 181 Thier, P., 241 Thomas, B. C., 359 Thomas, C., 129, 180 Thomas, M. G., 304 Thompson, G. F., 482 Thompson, J. K., 387 Thompson, K., 220 Thompson, P. J., 473 Thompson, R., 166 Thompson, R. F., 386, 387, 392 Thompson, S. M., 326 Thompson, W. F., 195 Thompson, W. L., 166 Thompson-Schill, S. L., 95 Thomson, D. R., 447 Thomson, R. H., 237 Thorell, L. G., 170 Thorens, B., 310 Thorpe, L. A., 188 Thurman, D. J., 136 Ticku, M. K., 373 Tiippana, K., 88 Tillman, B., 195 Tillman, K. A., 152 Timms, B. G., 325 Tinbergen, N, 3, 7, 12 Tingate, T. R., 379 Tishkoff, S. A., 304 Tizzano, M., 214 Tobin, V. A., 332 Tobler, I., 282 Tocilj, A., 293 Todd, W. D., 125 Todorov, A., 357 Toga, A. W., 325 Tokizawa, K., 292 Tolman, E. C., 403

Tomaiuolo, F., 447 Tomasello, M., 113, 418 Tomasino, B., 233 Tomba, E., 373 Tominaga, M., 207 Tomiyama, J., 315 Tomson, S. N., 221 Tonegawa, S., 208 Tong, F., 163, 447 Tong, Q., 310 Tong, X., 253 Tononi, G., 273, 283, 285, 457 Torchia, M., 372 Torrey, E. F., 484, 485 Tosches, M. A., 265 Tost, H., 481 Toufexis, D., 367 Tovote, P., 367 Townsend, J., 241 Tozzi, A., 241 Tracy, J. L., 330 Tran, P. B., 118 Tranel, D., 354, 359, 369, 370, 397, 398, 429 Travaglia, A., 392 Travers, S. P., 214 Trehub, S. E., 188, 195 Treisman, A., 446 Treit, D., 373 Trevena, J. A., 245 Trimble, M. R., 473 Tritsch, N. X., 54, 250 Trivers, R. L., 113 Troiani, V., 196 Trope, Y,, 357 Trudel, E., 298 Tsai, L.-H., 392 Tsankova, N., 107, 108 Tsien, R. W., 54, 57 Tsui, W. K., 276 Tsunematsu, T., 273 Tubbs, R. S., 493 Tucker, D. M., 236 Tucker, P., 261 Tulipan, L., 465 Turati, C., 180 Turkheimer, E., 109, 417 Turnbull, O., 390 Turner, A., 285 Turner, R. B., 379 Turner, R. S., 241 Turner, T. N., 492 Turrigiano, G. G., 171 Tybur, J. M., 331 Tye, L. D., 241 Tyszka, J. M., 369 Tzourio-Mazoyer, N., 425

Uchida, N., 244 Udry, J. R., 330, 342 Uekita, T., 411 Uher, R., 473 Ulrich, R., 181 Umiltà, C., 447 Underwood, M. D., 364 Undurraga, J., 471, 472 Ung, R. L., 310 Ungerleider, L. G., 447 Ungureanu, L., 368 Unterberg, A. W., 136 Unwin, N., 55 Uppenkamp, S., 192 Urry, H. L., 357 Ursano, R. J., 379 Uslaner, J. M., 273 U.S.—Venezuela Collaborative Research Project, 252

Vaccarino, A. L., 208 Vaid, J., 434 Vaishnavi, S., 448 Valkova, C., 483 Vallbo, Å., 203 Vallines, I., 182 Valverde, M. A., 323 Valzelli, L., 364 van Anders, S. M., 328 van Avesaat, M., 306 Van Bavel, J., 368 van Boxtel, J. J. A., 445 Van Cantfort, T. E., 430 van de Rest, O., 305 van den Bos, W., 131 van den Bosch, J. J. F., 221 van den Heuvel, M. P., 485 van den Pol, A. N., 310, 312 van den Stock, J., 456 Van der Haegen, L, 429 van der Klaauw, A. A., 314 van der Kloet, D., 280 van der Leij, A., 437 van der Vinne, V., 262 van der Vyver, J. M., 356 van der Zwan, Y. G., 341 van Dick, R., 357 Van Dorp, C. F., 259 van Duijvenvoorde, A. C. K., 131 van Erp, T. G. M., 484 Van Eys, P. L., 424 van Haren, N. E. M., 485 Van Honk, J., 331, 364, 365 van Ijzendoorn, M. H., 455 van Leeuwen, M., 416 van Meer, M. P. A., 138 Van Opstal, A. J., 190, 194 van Praag, H., 119, 125 van Rooijh, S. J. H., 372 van Rossum, M. C. W., 411 van Schaik, C. P., 418 Van Wanrooij, M. M., 189, 194 Van Zoeren, J. G., 295 van Zuijen, T. L., 437 Vandenbroucke, A. R. E., 169 VanderLaan, D. P., 343 Vanek, Z. F., 402 Vann, S. D., 397 Vanneste, S., 195 Vargas-Irwin, C. E., 233 Vargha-Khadem, F., 432 Vargo, E. L., 321 Vasey, P. L., 342, 343, 348 Vawter, M. P., 323 Vazquez, M. J., 310 Vazquez, R., 316 Velanova, K., 131, 236 Verfaellie, M., 132, 397, 402 Verhage, M., 123 Verkhatsky, A., 22 Verleger, R., 283 Veroniki, A. A., 473 Veroude, K., 363 Verrey, F., 300 Versace, F., 463 Vetter, C., 262 Victor, J. D., 213 Vieland, V. J., 483 Viken, R. J., 461 Vila, J., 353 Vilain, E., 348 Villa, R. F., 137 Villeda, S. A., 132 Viñals, X., 207 Vinogradova, Y., 482

08202_nameindex_ptg01.indd 586 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

NAME INDEX 587

Virkkunen, M., 364, 365 Visser, E. K., 264 Viswanathan, A., 94 Vita, A., 485 Viviani, D., 367 Vocci, F. J., 465 Voke, J., 158 Volkow, N. D., 464 Volterra, A., 22 vom Saal, F. S., 325 von Cramon, D., 182 von Gall, C., 265 von Melchner, L., 124 Voogd, J., 75, 77, 78 Vopalensky, P., 265 Voracek, M., 416 Voss, U., 273 Vosshall, L. B., 217 Vrba, E. S., 118 Vrysen, B. M., 342 Vuga, M., 470 Vuilleumier, P., 205, 370, 448 Vul, E., 169 Vulturar, R., 368 Vuoksimaa, E., 416 Vyadyslav, V. V., 280

Wager, T., 354 Wager, T. D., 96, 205, 207, 355 Wagner, D. D., 314 Wagner, E. L., 293 Wagner, U., 283 Wahl, A. S., 139 Waisbren, S. R., 110 Waldherr, M., 328 Waldie, K. E., 427 Walker, E. F., 486 Walker, J. A., 400 Walker, M. P., 283 Wall, P. D., 205 Wall, T. L., 461 Wallace, G., 332 Wallen, K., 327, 330 Wallis, J. D., 87, 454 Wallman, J., 150 Walsh, B. T., 315 Walsh, T., 483 Walsh, V., 237, 425 Walum, H., 332 Wan, N., 250 Wan, X., 402 Wang, A., 250 Wang, A. Y., 244 Wang, C.-H., 153 Wang, D. O., 411 Wang, H., 470 Wang, J., 332 Wang, K. H., 470 Wang, Q., 153 Wang, S., 355 Wang, S. S.-H., 82, 83 Wang, T., 109 Wang, T.-M., 58 Wang, W., 434 Wang, W. C., 295 Wang, W. S.-Y., 434 Wang, X., 180, 192 Wang, Y., 314 Wang, Y. T., 408 Wang, Y. Y., 412 Wapner, W., 435 Warach, S., 96, 233 Ward, A., 315 Ward, B., 344 Ward, B. W., 342

Ward, I. L., 325, 344 Ward, J., 141, 221 Ward, L. M., 443 Ward, O. B., 325 Warman, G. R., 260 Warneken, F., 113 Warren, K. L., 392 Warren, R. M., 164, 191 Warren, S. T., 253 Warrington, E. K., 166 Wassef, M., 124 Wasserman, L. M., 158 Watanabe, D., 128 Watanabe, E., 299 Watanabe, M., 236 Watkins, K. E., 127, 432 Watkins, L. R., 377, 378 Watkins, S. S., 464 Watrous, A. J., 399 Watrous, S., 140 Watson, N. V., 328 Waxman, S. G., 36, 205 Way, B. M., 205 Waye, H., 290 Wazny, J. H., 180 Wcislo, W. T., 416 Weaver, L. C., 139 Webber, C., 274 Weber-Fox, C. M., 434 Webster, J. P., 367 Weddle, M. G., 373 Wedell, A., 340 Weeland, J., 363 Wegener, D., 447 Wei, W., 390 Wei, Y., 283 Weidensaul, S., 293 Weiler, N. C., 56 Weiller, C., 242 Weinberg, J. D., 311 Weinberger, D. R., 483, 485 Weiner, I., 484 Weiskopf, N., 236 Weiskrantz, L., 166 Weiss, A., 418 Weiss, A. H., 437 Weiss, A. P., 485 Weiss, P., 119 Weiss, P. H., 221 Weisse, C. S., 379 Weitzman, E. D., 270 Welchman, A. E., 244 Welham, J., 484 Welker, K. M., 364, 365 Weller, A., 220 Weller, L., 220 Weniger, G., 370 Wenker, S. D., 251 Wenkstern, D., 463 Wenzler, S., 357 Wernicke, C., 436 Wessberg, J., 203 Wessinger, C. M., 166, 192 Westbrook, G. L., 54 Weston, L., 494 Whalen, P. J., 370 Wheeler, K., 71 Wheeler, M. A., 93 Wheeler, M. E., 236 Wheeler, R. A., 463 Wheye, D., 290 White, A. J. R., 155 White, D. P., 276 White, L. E., Jr., 205 White-Schwoch, T., 196

Whitesell, J. D., 164 Whitwell, R. L., 177 Wicherts, J. M., 416 Widen, S. C., 356 Wienbruch, C., 128 Wiesel, T. N., 167, 167, 168, 171 Wightman, R. M., 463 Wigström, H., 411 Wilbrecht, L., 244 Wilcox, T., 327 Wiley, E., 434 Wilhelm, B. G., 56 Wilkins, K., 314 Wilkinson, D., 178 Willems, R. M., 436 Willerman, L., 344, 417 Williams, B. A., 295 Williams, C. C., 417 Williams, C. L., 324 Williams, C. T., 281 Williams, D. R., 154 Williams, E. F., 311 Williams, G., 310 Williams, K. D., 205 Williams, L. W., 494 Williams, M. T., 344 Williams, R. W., 239 Williams, S., 283 Williamson, A., 130 Williamson, A. C., 390 Willingham, D. B., 244, 251 Willins, D. L., 488 Wilson, B. A., 384 Wilson, D. A., 219 Wilson, G. D., 344, 357 Wilson, J. D., 325 Wilson, K. D., 181 Wilson, M. A., 283 Wilson, P., 470 Wilson, S. J., 433 Wilson-Mendenhall, C. D., 357 Wimmer, R. D., 447 Winawer, J., 221 Winder, B., 329 Windhaber, J., 371 Windle, M., 461 Winer, G. A., 148 Winfree, A. T., 261 Wingfield, A., 196 Winn, R. J., 344 Winocur, G., 262, 399 Wirdefeldt, K., 250 Wise, R. A., 312, 462 Wise, R. P., 152 Wisner, K. L., 468 Wissman, A. M., 119 Witelson, S. F., 417, 425 Witthoft, N., 221 Wohleb, E. S., 469 Wohlgemuth, M. J., 183 Wokke, M. E., 169 Wolf, M. E., 464 Wolf, S., 353 Wolff, P. H., 138 Wolkin, A., 484 Wolman, D., 428 Wolpert, D. M., 202 Wolpert, L., 123 Womelsdorf, T., 443 Won, H., 493 Wong, A. C. N., 195 Wong, A. T., 397 Wong, K., 486 Wong, L. E., 139 Wong, M., 127

08202_nameindex_ptg01.indd 587 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

588 NAME INDEX

Wong, P. C. M., 128 Wong, R. O. L., 122 Wong, W. I., 340 Wong, Y. K., 195 Woodhouse, C. R. J., 341 Wooding, S., 105 Woods, R., 327 Woodside, B., 352 Woodson, J. C., 325 Woodward, J., 359 Woodward, N. D., 481, 485 Woodworth, R. S., 36 Wooley, A. W., 364 Woolf, N. J., 271 Workman, J. L., 324 Worsley, K. J., 182 Wright, C. I., 97, 368 Wright, E. W., 244 Wright, N. D., 364 Wu, C., 474 Wu, F. C. W., 363 Wu, L.-Q., 187 Wulfeck, B., 436 Wurtman, J. J., 52 Wyart, C., 220 Wyatt, H. R., 315 Wylie, S. A., 250 Wynne, L. C., 483

Xia, Z., 437 Xie, J., 454 Xu, H. S., 195 Xu, H.-T., 125 Xu, M., 273 Xu, Y., 180, 265

Yamadori, A., 192 Yamaguchi, S., 263 Yamanaka, A., 273 Yanagawa, Y., 54 Yanagisawa, K., 214 Yang, A. K., 471 Yang, C., 244 Yang, C.-H., 119 Yang, G., 125, 283, 412 Yang, Y., 276 Yang, Z., 264 Yano, H., 253 Yasuda, R., 411 Yasui, E., 236 Yates, J. L., 453

Ye, C.-P., 310 Ye, H., 332 Ye, M., 299 Yee, B. K., 125 Yeh, I-L., 130 Yehuda, R., 371 Yellachich, L.-A., 482 Yeo, G. S. H., 314 Yeomans, J. S., 365 Yetish, G., 262 Yin, H. H., 244 Yokum, S., 315 Yolken, R. H., 484 Yoo, S.-S., 283 Yoon, K.-h., 219 Yoon, K. L., 444 Yoon, S.-H., 136 Yoshida, J., 219 Yoshida, K., 295 Yoshida, M., 192 Yoshie, M., 153 Yoshimura, H., 211 Young, J. L., 454 Young, L. J., 332 Young, R. C., 306 Young, R. L., 306 Young, T., 154 Young, W. G., 306 Youngentob, S. L., 219 Youngstedt, S. D., 259 Yousem, D. M., 220 Yovel, G., 180, 181 Yttri, E. A., 244 Yuval-Greenberg, S., 442

Zablow, L., 411 Zacks, J. M., 237 Zadra, A., 273, 277 Zaelzer, C., 299 Zaffuto, S., 411 Zago, L., 425 Zagoory-Sharon, O., 333 Zakharenko, S. S., 411 Zandi, P. P., 469 Zandian, M., 316 Zanos, P., 471 Zant, J. C., 273 Zatorre, R. J., 128, 129 Zegarra-Moran, O., 437 Zehr, S. M., 281 Zeiler, M., 416

Zeineh, M. M., 395 Zeki, S., 177 Zelaznik, H. N., 239 Zeng, X., 251 Zentner, M., 338 Zervoulis, K., 327 Zerwas, S., 316 Zhang, G., 138 Zhang, J., 180 Zhang, K., 412 Zhang, L., 265, 437 Zhang, W., 417 Zhang, X., 208, 218 Zhang, Y., 308 Zheng, B., 265 Zhou, D., 123 Zhou, F., 281 Zhou, S. F., 471 Zhou, Y., 57 Zhu, Q., 180 Zhu, Y., 265, 276, 411 Zhuo, M., 208 Ziegler, J. C., 437 Ziegler, T. E., 333 Zigmond, M. J., 312 Zihl, J., 182 Zilioli, S., 365 Zimmerman, C. A., 300 Zimmerman, J. C., 200, 270 Zipser, B. D., 24 Zipursky, R. B., 485 Zoccolotti, P., 437 Zoghbi, H. Y., 492 Zola, S. M., 398 Zonderman, A. B., 392 Zorzi, M., 437, 447 Zubieta, J.-K., 207 Zubrick, S. R., 482 Zucker, I., 259 Zucker, K. J., 341, 344 Zuckerman, L., 484 Zuk, J., 437 Zuker, C. S., 299 Zurif, E., 435 Zurif, E. B., 435 Zusho, H., 220 Zvolensky, M. J., 365 Zweifel, L. S., 310

08202_nameindex_ptg01.indd 588 9/15/17 7:31 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

589

Note: Italicized page numbers refer to figures, illustrations, and tables.

2-AG (sn-2 arachidonylglycerol) chemical that binds to cannabinoid receptors, 58

Ablation removal of a brain area, generally with a surgical knife, 91, 98

Absolute pitch, 195 Absolute refractory period a time when

the membrane is unable to produce an action potential, 36

Acetaldehyde, 461, 465 Acetylcholine a chemical similar to an

amino acid, except that it includes an N(CH3)3 group instead of an NH2, group, 52, 53, 500

ionotropic effects, 54–55, 54 parasympathetic nervous system, 71 receptor, 54

Acetylcholinesterase enzyme that breaks down acetylcholine into acetate and choline, 57

ACTH. See Adrenocorticotropic hormone Action potential all-or-none messages sent

by axon, 31–36. See also Synapse definition of, 31 molecular basis of, 32–33 and myelin, 35, 35 of parallel fibers, 241 propagation of, 33–35, 34 refractory period, 36 relationship between EPSP and IPSP,

46–47 in release and diffusion of transmitters, 51

Activating effect temporary effect of a hormone, which occurs at any time in life while the hormone is present, 324, 328–332

Activation-synthesis hypothesis idea that a dream represents the brain’s effort to make sense of sparse and distorted information, 284–285

Active transport a protein-mediated process that expends energy to enable a molecule to cross a membrane, 24

Adaptation decreased response to a stimulus as a result of recent exposure to it, 213

Addiction condition marked by repetitive craving and the potential to harm one’s life, 460–467

cravings, 464 drug mechanisms, 460–463 predispositions, 460–462 tolerance and withdrawal, 464–465 treatments, 465

Adenine, 105, 499 Adenosine triphosphate (ATP) a molecule

composed of adenosine, ribose, and three phosphate groups, which the

body uses to store and release energy, 500, 500

ADH. See Antidiuretic hormone Adolescence, brain and behavioral

development, 131–132, 131 Adopted children, 108–109, 417, 482–483,

483 Adrenal cortex, 60 Adrenal gland, 72 Adrenaline. See Epinephrine Adrenal medulla, 60 Adrenocorticotropic hormone (ACTH)

chemical released from the anterior pituitary gland, which enhances metabolic activity and elevates blood levels of sugar, 60, 339, 377

Aerobic requiring the use of oxygen during movements, 228

Afferent axon axon that brings information into a structure, 21, 21

Affinity tendency of a drug to bind to a receptor, 460

Age brain development changes, 131–132 and circadian rhythms, 262 and hearing and attention, 196 and sleep, 270, 271, 284, 284

Aggressive behaviors, 362–365, 363 Agonist a drug that mimics or increases the

effects of a neurotransmitter, 460 Agouti-related peptide (AgRP) inhibitory

transmitter that blocks the satiety actions of the paraventricular nucleus, 310

Alcohol as an anxiety reducer, 373 fetal alcohol syndrome, 123–124, 123 predisposition for addiction to, 461–462,

462 Alcohol abuse, 460–461

heritability of, 109, 460–461 medications for, 465

Aldosterone adrenal hormone that causes the body to retain salt, 60, 300–301, 376

Allied medical field, 9 All-or-none law principle that the

amplitude and velocity of an action potential are independent of the stimulus that initiated it, 32

Allostasis the adaptive way in which the body changes its set points depending on the situation, 291–292, 300

Alpha-fetoprotein protein that binds with estradiol in the bloodstream of immature mammals, 325–326

Alpha waves a steady series of brain waves at a frequency of 8 to 12 per second that are characteristic of relaxation, 268

Altruism, 113–114, 455–456 Altruistic behavior an action that benefits

someone other than the actor, 113–114, 455–456

Alzheimer’s disease condition characterized by memory loss, confusion, depression, restlessness, hallucinations, delusions, sleeplessness, and loss of appetite, 78–79, 390–392, 391

Amacrine cells, 149, 151, 162 Amino acids acids containing an amine

group (NH 2), 52

Amnesia memory loss, 389–392 anterograde and retrograde amnesia, 395 hippocampal damage, 395, 402 impaired storage of long-term

memory, 395 impairment of episodic memory, 397 implicit and explicit memory, 398 infant, 392 intact procedural memory, 398 intact working memory, 395

AMPA receptor a glutamate receptor that can respond to α-amino-3-hydroxy- 5-methyl-4-isoxazolepropionic acid (AMPA), 409–411, 410

Amphetamine a drug that blocks reuptake of dopamine and other neurotransmitters, 57, 59, 138, 412, 462, 488

Amplitude the intensity of a sound wave, 188

Amputation, 140–141, 140, 141, 233 Amusia, 195 Amygdala temporal lobe structure

important for evaluating emotional information, 75, 310

attack behaviors, 362 damage to, 367, 369–370, 369, 370 fear and anxiety, 366–369, 366, 369 location of, 362 and pain, 204, 204 as part of the limbic system, 75, 76, 355

Amyloid-β a protein that accumulates to higher than normal levels in the brains of people with Alzheimer’s disease, 390–391, 391

Amyotrophic lateral sclerosis, 238 Anaerobic proceeding without using

oxygen at the time of a reaction, 228 Anandamide chemical that binds to

cannabinoid receptors, 58 Anatomy of nervous system, 67–81 Androgen insensitivity condition in which

individuals with an XY chromosome pattern have the genital appearance of a female, 340

Androgens testes-produced hormones that are more abundant in males, 322–323, 323

Subject Index/Glossary

08202_subjectindex_ptg01.indd 589 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

590 SUBJECT INDEX

Angel dust. See Phencyclidine (PCP) Angiotensin II hormone that constricts the

blood vessels, compensating for the drop in blood pressure; triggers thirst, 300, 300

Animal cells, structures of, 19, 19 Animals. See also Primates

aggressive behaviors, 364 amygdala in, 367 hunger in, 303, 303 and language, 430–432, 430–432 parental behavior, 332–333, 332 and sleep, 256, 281–283, 282 temperature regulation in, 290–291, 293 use of in research, 9–12, 9, 502–503

Anomia difficulty recalling the names of objects, 436

Anorexia nervosa disorder characterized by refusal to eat enough to remain healthy, 316

Antabuse drug that antagonizes the effects of acetaldehyde dehydrogenase by binding to its copper ion, 465

Antagonist a drug that blocks a neurotransmitter, 460

Antagonistic muscles opposing sets of muscles that are required to move a leg or arm back and forth, 45, 226, 227

Anterior, 69, 70 Anterior commissure bundle of axons that

connects the two hemispheres of the cerebral cortex, 76, 82, 345, 424, 428

Anterior pituitary portion of the pituitary gland, composed of glandular tissue, 60, 60, 61, 294

Anterograde amnesia inability to form memories for events that happened after brain damage, 395

Antibodies Y-shaped proteins that attach to particular kinds of antigens, 377, 378

Antidepressant drugs, 470–473 alternatives to, 473 and dopamine, 470, 471 effectiveness of, 472–473, 472 how they work, 471–472 types of, 470–472, 470

Antidiuretic hormone (ADH) hormone that enables the kidneys to reabsorb water from urine; also known as vasopressin, 298

Antigens surface proteins on a cell that identify the cell as your own, 377, 378

Antihistamine drugs, 208, 272 Antipsychotic drugs drugs that tend to

relieve schizophrenia and similar conditions, 486–488

Antisaccade task a voluntary eye movement away from the normal direction, 236

Antisocial behavior, 363, 363. See also Aggressive behaviors

Anxiety alcohol and, 373 and the amygdala, 366–371, 366 relief from, 372–373

Anxiety disorders, 371–372 Aphasia language impairment, 434–436, 436 Aplysia, 407–408, 407, 408

Apoptosis a programmed mechanism of cell death, 122, 124

Arcuate nucleus hypothalamic area with sets of neurons for hunger and satiety, 309–311, 326

Area A1. See Primary auditory cortex Area V1. See Primary visual cortex Area V2. See Secondary visual cortex Area V4, 177 Arousal, brain mechanisms of, 271–273 Artificial selection a process of selecting

plants/animals for desired traits, 110 Asperger’s syndrome, 492 Associativity property that a weak input

paired with a stronger input enhances its later response, 408, 409

Astigmatism a decreased responsiveness to one kind of line or another, caused by an asymmetric curvature of the eyes, 172–173, 172

Astrocytes star-shaped glia that synchronize the activity of the axons, 22, 23, 138–139

Atomic number identification of an element determined by its number of protons, 498

Atomic weight weight of an element in proportion to the weight of a proton, 498

Atoms tiny building blocks of matter, not divisible by ordinary chemical means, 498

ATP (adenosine triphosphate) molecule that provides the energy for muscles and other body activities, 500, 500

Attack and escape behaviors, 362–375 anxiety disorders, 371–372 fear and anxiety, 365–371 heredity and environment in, 363, 363 hormones, 363–364, 364 serotonin synapses and aggressive

behavior, 364–365 Attention, 446–447, 481

brain mechanisms of, 271–273, 446–447 spatial neglect, 447–448, 448

Atypical antidepressants drugs with antidepressant effects that do not fit into any of the other antidepressant categories, 471

Atypical antipsychotics, 487 Audition, 188–198

auditory cortex, 191–193, 193 hearing loss, 195, 196 pitch perception, 190–191 sound and the ear, 188–190, 189 sound localization, 193–194, 194

Auditory connections in the brain hemispheres, 425–426

Auditory cortex, 191–193, 192 Autism spectrum disorders family of

psychological disorders marked by impaired social and emotional exchange and other symptoms, 482–485

genetics and other causes, 493 symptoms, 492–493, 492 treatments, 494

Autonomic nervous system part of the peripheral nervous system that controls the heart, intestines, and other organs, 68, 69, 71–72

Autoreceptor receptor on a presynaptic neuron that responds to the released transmitter by inhibiting further release of it, 58

Autosomal genes all chromosomes other than X and Y, 106

Axon thin fiber of constant diameter; the neuron’s information sender, 20–21, 20

chemical gradients, 30, 30, 120–121 competition among, 121–122 connections, 120, 120 and muscle fibers, 226–229 pathfinding by, 119–121, 121 regrowth of, 138–139 sprouting, 139, 139

Backward masking procedure in which a visual stimulus interferes with perception and memory of the preceding stimulus, 442

Bacopa monnieri, 412 Ballistic movement motion that proceeds as

a single organized unit that cannot be redirected once it begins, 230

BAS. See Behavioral activation system Basal forebrain area anterior and dorsal to

the hypothalamus; includes cell clusters that promote wakefulness and sleep, 78–79, 78, 272, 273

Basal ganglia a group of subcortical forebrain structures lateral to the thalamus, 77–78, 78, 241, 488

location of, 75, 243 and movement, 241–244, 243 overview of, 77–78, 241

Basal metabolism energy used to maintain a constant body temperature while at rest, 292

Basilar membrane, 189, 191, 191 Bats, 186, 187 Battle fatigue. See Post-traumatic stress

disorder (PTSD) B cells, 377, 378 BDNF. See Brain-derived neurotrophic

factor Bed nucleus of the stria terminalis a set of

neurons that connect to the amygdala, 367, 367

Behavior biological approach to, 4–5 biological explanations of, 6–7, 8 brain anatomy correlated with, 96–98, 98 effect of genetics on, 110 evolution of, 110–114 and food selection, 304–305 genetics and, 104–110 learned adjustments in, 141–142 neurotransmitters and, 62 predictors of substance abuse, 461–462 sequences of, 230–231

Behavioral activation system (BAS) left brain hemispheric activity marked by low to moderate autonomic arousal and a tendency to approach, which could characterize either happiness or anger, 357

Behavioral development, and brain development, 131–132

08202_subjectindex_ptg01.indd 590 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 591

Behavioral inhibition system (BIS) right brain hemispheric activity, which increases attention and arousal, inhibits action, and stimulates emotions such as fear and disgust, 357

Behavioral medicine field that includes the effects of diet, smoking, exercise, stressful experiences, and other behaviors on health, 376

Behavioral regulation of temperature, 292–293

Behavior differences, and sexual orientation, 342

Benzodiazepines a class of anti-anxiety drugs, 372–373, 373

Bilingual people, 434 Binding problem question of how various

brain areas produce a perception of a single object, 87–88, 88

Binocular rivalry alternating conscious perceptions that occur when one views incompatible displays with the two eyes, 443–445, 444, 445

Biological clock, 262–263 Biological psychology the study of the

physiological, evolutionary, and developmental mechanisms of behavior and experience, 5–6

career opportunities, 8–9 definition of, 5 fields of specialization, 8–9 overview, 3–13 use of animals in research, 9–12, 9,

502–503 Bipolar cells type of neuron in the retina

that receives input directly from the receptors, 22, 149, 150, 152, 162, 164–166

Bipolar disorder a condition that alternates between depression and mania, 476, 476

Birdsong, 7–8 Birth-control pills, 329–330 BIS. See Behavioral inhibition system Blindness, 104, 127, 260 Blindsight the ability to respond in limited

ways to visual information without perceiving it consciously, 166

Blind spot area at the back of the retina where the optic nerve exits; it is devoid of receptors, 149, 151

Blood—brain barrier mechanism that excludes most chemicals from the brain, 23–25, 24

Body temperature control, 292–295, 292, 293 advantages of, 293–294 brain mechanisms, 294–295, 294 extreme cold, survival in, 293 fever, 295

Body weight, and eating disorders, 313–316 Bonobos, 430–431, 431 Brain. See also Brain development;

Lateralization; and specific parts of the brain

abnormalities of hemispheric dominance, 470

areas for learning, 244, 386, 387 and attention, 271–273, 446–447

at birth, 117–118 connection to eyes, 149–152, 150 coronal section, 76 correlated with behavior, 96–98, 98 development of, 117–135 dorsal view, 5, 75 and emotions, 355 evolution of, 418 “exercise” for, 126–127 formation of, 117–118, 117 hemispheres of, 424–426, 429, 470 insectivores vs. primates, 82, 83 major divisions of, 72–73, 73 mammalian brains, comparison of, 82, 118 mind-brain relationship, 4–5, 441–442 movement mechanisms and, 233–248 new neurons later in life, 119 nucleus accumbens, 462–463, 463 number of neurons in, 18, 18, 82, 416, 416 olfaction and, 218–219, 218 oxygen and glucose needed, 25, 136 pain messages in, 204 as part of the central nervous system, 68,

68 purpose of, 226 sagittal section of, 75 and schizophrenia, 484–485, 485 self-stimulation of, 462, 463 of several species, 10 sex differences, 325–327, 326 and sexual orientation, 344–346, 345 split-brain operation, 426–429 stimulation of, 92–93, 92, 98, 138 taste coding, 214, 215 ventral surface, 5, 76 views of, 5, 76, 102

Brain activity, recording, 66, 93–96, 93–95, 98

Brain damage, 136–144, 423 effects of, 91–92 images of, 137, 138 and language, 434–436, 435 later mechanisms of recovery, 138–142 plasticity after, 136–144 research methods and, 91–92, 98 and schizophrenia, 481, 485 short-term recovery, 136–138

Brain death condition with no sign of brain activity and no response to any stimulus, 268

Brain-derived neurotrophic factor (BDNF) a neurotrophin similar to nerve growth factor, 411, 471–472, 474

Brain development, 117–135, 117 age/aging and, 103, 131–132 and behavioral development, 131–132 brain reorganization gone too far, 129–131 differentiation of the cortex, 124, 125 early stages in, 117–118, 117, 118 fine-tuning by experience, 125–131 maturation of the vertebrate brain,

117–123 neuronal survival, determinants, 122–123 pathfinding by axons, 119–121, 120 special experiences, effects of, 127–131 vulnerability of, 123–124

Brain mechanisms

and body temperature control, 294–295, 294

and hunger, 309–313, 309 of movement, 233–248, 238 and stages of sleep, 271–274, 272 of wakefulness, arousal, and sleep, 271–

274, 272 Brain size and intelligence, 415–417

comparisons across species, 83, 415–416, 415, 416

comparisons of men and women, 416–417 human data, 416–417

Brainstem the medulla, pons, midbrain, and central structure of the forebrain, 72, 73

Brain surgery, 235 Brain-to-body ratio, 415–416, 416 Brightness constancy, 157 Broca’s aphasia brain damage that causes

impaired language, 434–436, 436 Broca’s area portion of the brain that is

associated with language production, 91, 434, 435

Bulimia nervosa a condition in which people alternate between binges of overeating and periods of strict dieting, 315–316

Bupropion, 471 Butyrophenones a chemical family

that includes antipsychotic drugs (haloperidol) that relieve the positive symptoms of schizophrenia, 486

CAH. See Congenital adrenal hyperplasia Cajal, Santiago Ramón y, 18–19, 18 Cannabinoids chemicals related to D9-THC,

58, 59, 138, 138, 207 Capsaicin a chemical, found in hot peppers,

that produces a painful burning sensation, 201, 207

Carbon atoms, reactions of, 498–500, 499 Cardiac muscles muscles of the heart that

have properties intermediate between those of smooth and skeletal muscles, 226, 227

Catecholamines compounds that contain a catechol and an amine group, 52

Catechol-o-methyltransferase (COMT), 57 CAT scan method of visualizing a living

brain by injecting a dye into the blood and placing a person’s head into a CT scanner; x-rays are passed through the head and recorded by detectors on the opposite side, 96, 97, 98

Caudate nucleus large subcortical structure, part of the basal ganglia, 77, 78, 241, 243

CCK. See Cholecystokinin Cell body structure containing the nucleus,

ribosomes, and mitochondria, 19, 20, 20

Cell structures, 19, 19 Cellular organization, 18, 19 Central nervous system (CNS) the brain

and the spinal cord, 68, 68, 202 anatomical directions in, 68–69, 69, 70 formation of, 117–118 somatosensation in, 202–203, 202

08202_subjectindex_ptg01.indd 591 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

592 SUBJECT INDEX

Central pattern generators neural mechanisms in the spinal cord that generate rhythmic patterns of motor output, 230

Central sulcus one of the deepest grooves in the surface of the cerebral cortex, 84, 84, 234

Cerebellar cortex the surface of the cerebellum, 18, 240, 241

Cerebellar nuclei, 240, 241 Cerebellum highly folded hindbrain

structure that is important for behaviors that depend on accurate timing, 18, 73, 239–241

cellular organization of, 241, 242 damage to, 239, 240, 241 functions other than movement, 240–241 location of, 73, 73, 234 and movement, 239–241 number of neurons in, 82, 239 overview of, 73 in sagittal section of the brain, 75

Cerebral cortex layers of cells on the outer surface of the cerebral hemisphere of the forebrain, 82–90, 233

Alzheimer’s disease, 391 areas of and columns, 83, 83, 84 frontal lobe, 84, 85–86 laminae, 83, 83 and movement, 233–239, 234 occipital lobe, 84, 84 organization of, 82–84 parietal lobe, 84–85 parts work together, 87–88, 88 pathways for touch and pain, 204 representation (map) of information in,

85, 86, 235 in sagittal section of the brain, 75 temporal lobe, 84, 85

Cerebral hemispheres, 74, 424–425 Cerebrospinal fluid (CSF) a clear fluid

similar to blood plasma produced by choroid plexus in the brain ventricles, 79–80, 117

Cerebrovascular accident result of interrupted blood flow to the brain resulting from either a blood clot or a ruptured artery, 136

Chemical bonds, 498 Chemical events at the synapse, 50–64

activation of receptors of the postsynaptic cell, 54–55

drugs and their effects, 59 drugs that bind to receptors, 56–57, 56 electrical synapses, 59, 59 inactivation and reuptake of

neurotransmitters, 57 ionotropic effects, 54–55 metabotropic effects and second

messenger systems, 55, 55 negative feedback from the postsynaptic

cell, 57–59 neuropeptides, 55–56, 56 release and diffusion of transmitters,

53–54 sequence of, 51, 51 storage of transmitters, 53

synthesis of transmitters, 52–53, 53 types of neurotransmitters, 52, 52 variations in receptors, 56

Chemical gradients, 29–30, 30, 120–121 Chemical pathfinding by axons, 119–121 Chemical senses, 211–223

chemical coding, 214, 218–219 olfaction, 216–220 pheromones, 220 synesthesia, 220–221 taste, 211–216

Chemical transmission, 50–51, 50 Chemistry, 496–501

atoms and molecules, 498, 498, 499 ATP, role of, 500, 500 chemical reactions in the body, 500 elements and compounds, 496, 497, 499 ions and chemical bonds, 498 periodic table, 497 reactions of carbon atoms, 498–500

Chemokines, 118 Chewing gum, 305, 305 China, 111 Chloride ions, 30 Chlorpromazine antipsychotic drug that

relieves the positive symptoms of schizophrenia for most, though not all, patients, 486

Cholecystokinin (CCK) hormone released from the duodenum that constricts the sphincter muscle between the stomach and duodenum, limiting the meal size, 306, 309, 310

Choroid plexus, 79 Chromosomes strands of genes, 104–105,

323, 390 Cingulate cortex, 204, 204 Cingulate gyrus, 75, 76, 205, 355 Circadian rhythm, 258–259, 258, 260, 475

biochemistry of, 264–265, 265 biological clock, 262–263

Classical conditioning type of conditioning produced by the pairing of two stimuli, one of which evokes an automatic response, 384, 385

Closed class of grammatical forms, 435 Closed head injury a result of a sharp blow

to the head that does not puncture the brain, 136

CNS. See Central nervous system Cocaine a drug that blocks reuptake of

dopamine, 57, 59, 462, 464, 481, 488 Cochlea structure in the inner ear

containing auditory receptors, 189, 190 Cockroaches, decapitated, 405, 406 Cognitive-behavioral therapy, 473 Cognitive functions, 423–457

attention, 446–447 conscious and unconscious processes,

441–451 decision making, 452–457 language, 430–440 lateralization of function, 424–429 social neuroscience, 454–455

Cold, survival in extreme, 293 Collateral sprouts newly formed branches

of an axon, 139, 139

Color constancy the ability to recognize colors despite changes in lighting, 156–158, 157

Color perception, 157 Color vision, 153–158 Color vision deficiency inability to perceive

color differences, 158 Columnar organization of the visual cortex,

168–169, 169 Columns collection of cells perpendicular

to the surface of the cortex and to its laminae, 70, 83, 83

Coma an extended period of unconsciousness with a low level of brain activity, 268

Commissures, 76, 428 Complex cell type of visual cortex cell

located in areas V1 and V2 that responds to a pattern of light in a particular orientation anywhere within its large receptive field, 168, 168, 169

Complex receptive fields, 167–168 Compound material composed of two or

more types of element bound together, 496, 499

Computerized axial tomography (CT or CAT scan) method of visualizing a living brain by injecting a dye into the blood and placing a person’s head into a CT scanner; x-rays are passed through the head and recorded by detectors on the opposite side, 96, 97, 98

COMT (catechol-o-methyltransferase) enzyme that breaks down excess dopamine into inactive chemicals that cannot stimulate the dopamine receptors, 57

Concentration gradient difference in distribution of ions across the neuron’s membrane, 29–30, 30

Concordance similarity, such as having the same disorder as someone else, 482

Conditioned response (CR) response evoked by a conditioned stimulus after it has been paired with an unconditioned response, 384, 385

Conditioned stimulus (CS) stimulus that evokes a particular response only after it has been paired with an unconditioned stimulus, 384, 385

Conductive deafness hearing loss that occurs if the bones of the middle ear fail to transmit sound waves properly to the cochlea, 195

Cones type of retinal receptor that contributes to color perception, 152– 153, 152, 155, 162

Confabulation a distinctive symptom of Korsakoff’s syndrome in which patients fill in memory gaps with guesses, 390

Congenital adrenal hyperplasia (CAH) the overdevelopment of the adrenal glands from birth, 328, 339–340, 339

Conscious capable of reporting the presence of a stimulus, 442

Conscious and unconscious processes, 441–451

08202_subjectindex_ptg01.indd 592 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 593

conscious and unconscious people, 446 consciousness as a threshold

phenomenon, 445 consciousness of stimulus, 442–446 mind-brain relationship, 441–442 timing of consciousness, 445–446

Conscious decisions, and movement, 244–246, 245

Consciousness, 4–5 Consolidate to strengthen a memory and

make it more long-lasting, 388–389 Continuous positive airway pressure (CPAP)

mask, 276 Contralateral, 70 Control of movement, 226–232 Cooperation, 428–429 Cooperativity tendency for nearly

simultaneous stimulation by two or more axons to produce long-term potentiation much more effectively than stimulation by just one, 408

Coronal plane, 69, 70 Corpus callosum bundle of axons that

connects the two hemispheres of the cerebral cortex, 75, 76, 82, 424–425, 424

damage to, 423, 426, 427 maturation of, 427 overview of, 426–427 in sagittal section of the brain, 75 and split-brain operation, 426–429

Corpus luteum, 329, 330 Cortex, differentiation of, 124, 125 Cortical blindness, 84 Corticospinal tracts paths from the cerebral

cortex to the spinal cord, 238–239, 238 Cortisol hormone secreted by the adrenal

cortex that elevates blood sugar and enhances metabolism, 60, 323, 365, 376

Covalent bonds connections in which atoms share electrons with each other, 498

CPAP (continuous positive airway pressure) mask, 276

CR. See Conditioned response Cranial nerves nerves that control

sensations from the head, muscle movements in the head, and much of the parasympathetic output to the organs, 74

Craniosacral system, 71 Craving an insistent search for something,

464 Cross-adaptation reduced response to one

taste after exposure to another, 213 CS. See Conditioned stimulus CSF. See Cerebrospinal fluid CT scan method of visualizing a living

brain by injecting a dye into the blood and placing a person’s head into a CT scanner; x-rays are passed through the head and recorded by detectors on the opposite side, 96, 97, 98

Cytokines small proteins that combat infections and communicate with the brain to elicit appropriate behaviors, 377

Cytosine, 105

Dairy products, 304 Deafferent to remove or disable the sensory

nerves from a body part, 142 Deafness, 195 Decision making, 452–457

conscious decisions, and movement, 244–246, 245

decisions based on values, 453–454 perceptual decisions, 452–453, 452 prefrontal cortex and, 452, 453, 453

Declarative memory deliberate recall of information that one recognizes as a memory, 398

Deep brain stimulation use of a battery- powered device implanted into a brain to deliver stimulation to certain areas, 475–476

Delayed matching-to-sample task task in which an animal sees a sample object and then after a delay must choose an object that matches the sample, 398

Delayed nonmatching-to-sample task task in which an animal sees an object and then after a delay must choose an object that does not match the sample, 398, 399

Delayed-response task assignment in which an animal must respond on the basis of a signal that it remembers but that is no longer present, 87, 389

Delayed transmission, 43, 43 Delusions unjustifiable beliefs, 480 Dendrites branching fibers from a neuron

that receive information from other neurons, 20, 20, 22

Dendritic branching, 125–127, 126 Dendritic spines short outgrowths that

increase the surface area available for synapses, 20, 20, 21

Denervation supersensitivity (receptor supersensitivity) increased sensitivity to neurotransmitters by a postsynaptic neuron after loss of input, 139

Deoxyribonucleic acid (DNA) double- stranded molecule that is part of the chromosomes, 104–105, 105, 108, 499

Dependence. See Addiction; Substance abuse

Depolarize (depolarization) to reduce polarization toward zero across a membrane, 31, 33

Depression. See Antidepressant drugs; Major depression

Deprived experience in one or both eyes, 171 Dermatome area of the body connected to a

particular spinal nerve, 202, 202 Diaschisis decreased activity of surviving

brain neurons after damage to other neurons, 138

Diencephalon, 76 Dieting, 314–315 Differential diagnosis one that rules

out other conditions with similar symptoms, 481

Differentiate to develop the axon and dendrites that give a neuron its distinctive properties, 118

Digestion, 303–305 Digestive system, 303–304, 304 Dihydrotestosterone, 325, 341 DISC1 (disrupted in schizophrenia 1) gene

that controls production of dendritic spines and the generation of new neurons in the hippocampus, 483

Disrupted in schizophrenia 1 (DISC1), 483 Dissociative identity disorder, 480 Distal, 70 Disulfiram, 465 Dizygotic twins fraternal (non-identical)

twins derived from two eggs, 108, 342, 343

DNA. See Deoxyribonucleic acid (DNA) Dominant gene gene that shows a strong

effect in either the homozygous or heterozygous condition, 105, 106

Dopamine, 53, 462–463, 500 drugs that affect dopamine synapses,

58–59, 58, 143, 254 effect of drugs on, 460 and L-dopa, 250 and Parkinson’s disease, 244, 249, 250–251 pathways, 488 receptors, 460 reuptake of, 57 role of, 462–463 and schizophrenia, 486–487, 488 and substance abuse, 463

Dopamine hypothesis of schizophrenia idea that schizophrenia results from excess activity at dopamine synapses in certain brain areas, 486

Dorsal located toward the back, 69, 69, 70 Dorsal root ganglia clusters of sensory

neurons outside the spinal cord, 70, 70 Dorsal stream visual path in the parietal

cortex that helps the motor system locate objects; the “where” path, 177–178

Dorsal striatum caudate nucleus and putamen, 241, 243

Dorsomedial nucleus, 77 Down syndrome, 390 Dreaming, 273, 284–285 Drug mechanisms, 58, 59, 460–463 Dualism belief that mind and body are

different kinds of substance that exist independently, 441

Duodenum part of the small intestine adjoining the stomach; first digestive site that absorbs nutrients, 306

Dyslexia a specific impairment of reading in someone with adequate vision, adequate motivation, and adequate overall cognitive skills, 437

Eardrum, 188, 189, 189 Early exposure to a limited array of patterns,

172–173, 172 Ears, 188–190, 189 Eating disorders, 313–316

anorexia nervosa, 316 bulimia nervosa, 315–316 genetics and body weight, 314 and weight loss, 314–315

08202_subjectindex_ptg01.indd 593 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

594 SUBJECT INDEX

“Ecstasy” (MDMA), 59 ECT. See Electroconvulsive therapy Ectothermic controlling temperature by

relying on external sources of heat or cooling, 292

Edema accumulation of fluid, 136, 137 EEG. See Electroencephalograph Efferent axon neuron that carries

information away from a structure, 21, 21

Efficacy a drug’s tendency to activate the receptor, 460

Electrical gradient difference in electrical charges between the inside and outside of the cell, 28–29

Electrical synapses, 59, 59 Electroconvulsive therapy (ECT) a

treatment for depression by electrically inducing a seizure, 473–474, 474

Electroencephalograph (EEG) a device that records electrical activity of the brain through electrodes attached to the scalp, 93, 93, 98, 268–269, 269

Electromagnetic force, 4 Elements materials that cannot be broken

down into other types of materials, 496, 497

Emotional behaviors, 351–381. See also Attack and escape behaviors; Emotion/ emotions

Emotional pain, 204–205, 204 Emotion/emotions

autonomic arousal, 352–356 basic few, 356–357, 356 functions of, 357–359 hurt feelings, 205 interpreting, 456 limbic system and, 354–355, 355 usefulness of the concept, 354–355

Empathy the ability to identify with other people and share their experience almost as if it were one’s own, 455–456

Endocrine glands hormone-producing glands, 59, 60

Endogenous circadian rhythm self- generated rhythm that lasts about a day, 258–259, 258

Endogenous circannual rhythm self- generated rhythm that lasts about a year, 258

Endogenous morphines, 57, 205 Endogenous rhythms, 258–267 Endoplasmic reticulum network of thin

tubes that transport newly synthesized proteins to other locations, 19, 19

Endorphins transmitters that attach to the same receptors as morphine, 57, 205–206, 206

Endothermic controlling temperature by the body’s physiological mechanisms, 292

End-stopped cell type of visual cortex cell that resembles complex cells; responds best to stimuli of a precisely limited type, anywhere in a large receptive field, with a strong inhibitory field at one end of its field, 168, 168, 169

Energy conservation, and sleep, 280

Engram physical representation of what has been learned, 384–387, 386, 388

Environment, and heredity, 363, 363 Environmental influences, 108–110, 125 Environmental modification, 109–110 Enzymes biological catalysts that regulate

chemical reactions in the body, 500 Epigenetics a field that deals with changes in

gene expression without modification of the DNA sequence, 107–108, 343

Epilepsy, 93, 426–427 Epinephrine, 53, 60, 500 Episodic memories memories of single

personal events, 397, 399, 400 EPSP. See Excitatory postsynaptic

potential Equipotentiality concept that all parts

of the cortex contribute equally to complex behaviors; any part of the cortex can substitute for any other, 386

Escape behaviors. See Attack and escape behaviors

Estradiol a hormone in the estrogen family, 323–326, 323, 329–330

Estrogens family of hormones that are more abundant in females, 60, 322–324, 323

Evaporation, 292 Evening people and morning people,

261–262 Evoked potentials electrical recordings on

the scalp from brain activity in response to a stimulus, 93–94, 98

Evoked responses electrical recordings on the scalp from brain activity in response to a stimulus, 93–94

Evolution a change over generations in the frequencies of various genes in a population, 3, 110–111

of behavior, 110–114 of the brain, 418 definition of, 110 of language, 430–434 mating behavior and, 337–338 misunderstandings about, 110–111 as thrifty, 188, 213

Evolutionary explanation understanding in terms of the evolutionary history of a structure or behavior, 7, 8, 112

Evolutionary interpretations, of mating behavior, 337–338

Evolutionary psychology field that deals with how behaviors evolved, 112–114

Excitatory postsynaptic potential (EPSP) graded depolarization, 43, 44, 46–47

Exercise, 474 Exocytosis a release of neurotransmitter

from the presynaptic neuron into the synaptic cleft, 53

Experience auditory cortex development and, 192 and fine-tuning brain development,

125–131 genetics and, 107–108 visual cortex development and, 170–173

Explicit memory deliberate recall of information that one recognizes as a memory, 398

Extensor muscle that straightens the limb, 226, 227

Extracellular fluid, 298 Eyes, 149–152, 150, 426

Facial expressions, 350 and blindness, 104, 104 and emotions, 356, 356, 357 and infants, 237, 237 recognizing, sex hormones and,

331, 331 Facial recognition, 179–181 Facilitating interneuron, 408 Far transfer improvement of a skill due to

practice at a dissimilar skill, 126 Fast muscles, 226–228, 228 Fast-twitch fibers muscle fibers that

produce fast contractions but fatigue rapidly, 228, 293

Fat cells, 60 Fear and anxiety, 365–371

and the amygdala, 366–371, 366 anxiety disorders, 371–372 monkey studies, 367 rodent studies, 366–367

Feature detectors neurons whose responses indicate the presence of a particular feature, 169–170, 170

Feedback, movements varying in sensitivity to, 230

Feeding, regulation of glucose, insulin, and glucagon, 306–308 leptin, 308–309, 308 oral factors, 305–306, 305 stomach and intestines, 306

Fetal alcohol syndrome a condition resulting from prenatal exposure to alcohol and marked by hyperactivity, impulsiveness, decreased alertness, varying degrees of cognitive impairment, motor problems, heart defects, and facial abnormalities, 123–124, 123

Fever, 295 Finger-to-nose test, 240 Fissure, 70 Fitness the spreading of genes; number of

copies of one’s genes that endure in later generations, 111

5-hydroxyindoleacetic acid (5-HIAA) serotonin’s main metabolite, 364, 365

Flash suppression procedure of blocking conscious perception of a stationary object by surrounding it with flashing objects, 166, 442

Flexor muscle that flexes the limb, 226, 227 Fluent aphasia condition characterized

by poor language comprehension and impaired ability to remember the name of objects, 436

FMRI. See Functional magnetic resonance imaging

Focal hand dystonia (musician’s cramp) a disorder where one or more fingers is in constant contraction or where moving one finger independently of others is difficult, 130

08202_subjectindex_ptg01.indd 594 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 595

Folic acid vitamin that is important for development of the nervous system, 493

Follicle-stimulating hormone (FSH) chemical released from the anterior pituitary; promotes the growth of a follicle in the ovary, 60, 329, 329

Food selection, 304–305 Footbridge dilemma, 358, 358 Forebrain most anterior part of the brain;

consists of two cerebral hemispheres, 73, 74–76, 75, 117, 118

Fovea a tiny area of the retina specialized for acute, detailed vision, 149–152, 150, 152, 153, 163

Frequency the number of cycles per second, measured in Hz, 188

Frequency theory concept that the basilar membrane vibrates in synchrony with a sound, causing auditory nerve axons to produce action potentials at the same frequency, 190

Frontal cortex, 84, 85–86 Frontal lobe section of cerebral cortex that

extends from the central sulcus to the anterior limit of the brain, 75, 76, 84, 85–86

Frontotemporal dementia, 455–456 FSH. See Follicle-stimulating hormone Functional explanation understanding why

a structure or behavior evolved as it did, 7, 8, 112

Functional magnetic resonance imaging (fMRI) a modified version of MRI that measures energies based on hemoglobin instead of water; determines the brain areas receiving the greatest supply of blood and using the most oxygen, 94–96, 95, 98

Fungiform papilla, 214, 215 Fusiform gyrus brain area of the inferior

temporal cortex that recognizes faces, 179, 179, 180

GABA (gamma-aminobutyric acid), 55, 271, 273, 277, 500

GABAA receptor receptor complex structure that includes a site that binds GABA as well as sites that modify the sensitivity of the GABA site, 372–373, 373

Gambling, 464 Gambling Task, 454 Ganglion/Ganglia, 70, 70 Ganglion cells type of neuron in the retina

that receives input from the bipolar cells, 149, 151, 162, 165

Gap junction a direct contact of one neuron with another, enabling electrical transmission, 59, 59

Gases one of the categories of neurotransmitters, including nitric oxide and possibly others, 52, 52

Gate theory idea that stimulation of certain axons can close the “gates” for pain messages, 205–207

Gender differences, 339 Gender identity the gender that a person

considers himself or herself to be, 338–342

General adaptation syndrome a generalized response to stress, 376

Genes units of heredity that maintain their structural identity from one generation to another, 104–107, 106, 109

activity of, 107 candidate gene approach, 109 gene-knockout approach, 92, 98 homeobox, 117

Genetic drift, 7 Genetics, 3, 104–108

autism spectrum disorders, 493 and depression, 469, 469 and eating disorders, 314 effect on behavior, 110 environment and, 108–110 epigenetics, 107–108 genetic changes, 107 heritability, 108–109 and Huntington’s disease, 252–253 and language, 433 Mendelian genetics, 104–108 and predispositions, 460–461 and schizophrenia, 482–483, 482, 483 sex-linked and sex-limited genes,

106–107, 106 and sexual orientation, 342–343, 343 and violence, 363, 363

Genitals, 324–325, 324 Ghrelin chemical released by the stomach

during a period of food deprivation; also released as a neurotransmitter in the brain, where it stimulates eating, 309, 310

Ginkgo biloba, 412 Glia type of cell in the nervous system

that, in contrast to neurons, does not conduct impulses over long distances, 6, 18, 21–23, 23

Globus pallidus large subcortical structure; part of the basal ganglia, 77, 78, 241, 243

Glucagon pancreatic hormone that stimulates the liver to convert stored glycogen to glucose, 60, 306–308, 307

Glucose a simple sugar, 25, 306–308, 307, 499 Glutamate, 54, 124, 136, 203, 409, 488–489,

500 Glutamate hypothesis of schizophrenia

proposal that schizophrenia relates in part to deficient activity at glutamate synapses, especially in the prefrontal cortex, 488–489

Golgi tendon organs receptors that respond to increases in muscle tension; inhibit further contractions, 229, 229

Goose bumps, 112, 292 G protein a protein coupled to guanosine

triphosphate (GTP), an energy-storing molecule, 55, 55

Graded potential a membrane potential that varies in magnitude in proportion to the intensity of the stimulus, 36

Grasp reflex, 112, 112 Gray matter areas of the nervous system

that are densely packed with cell bodies and dendrites, 70–71, 70, 71

Grid cells entorhinal cortex cells that respond when an animal is in any

of a number of places arranged in a hexagonal grid pattern, 400

Group selection evolutionary selection favoring a gene because of its benefits to a group, 114

Guanine, 105 Gymnema sylvestre, 212–213 Gyrus, 70, 118

Habituation a decrease in response to a stimulus that is presented repeatedly and accompanied by no change in other stimuli, 407, 408

Hair cells the auditory receptors that lie along the basilar membrane in the cochlea, 189, 190, 190

Hair-follicle receptors, 200 Hallucinations false sensory experiences,

85, 480 Hallucinogenic drugs drugs that distort

perception, 56, 56, 59 Hamilton Depression Rating Scale, 472–473 Handedness, 427, 427 Hard problem philosophical question as to

why and how brain activity becomes conscious, 442

Head injuries. See Brain damage Hearing aids, 196 Hearing deficits, and schizophrenia, 481 Hearing loss, 196 Hebbian synapse a synapse that increases in

effectiveness because of simultaneous activity in the presynaptic and postsynaptic neurons, 406

Hemiplegia, 238 Hemorrhage type of stroke resulting from a

ruptured artery, 136 Heritability estimate of the degree to which

variation in a characteristic depends on genetic variations in a given population, 108–109

Hermaphrodite individual who appears as a mixture of male and female anatomies, 339

Heroin, 57, 464–465 Heterozygous having two unlike genes for a

given trait, 105, 106 Hibernation, 280–281, 290 Hindbrain the posterior part of the brain,

72–73, 73, 117, 118 Hippocampus a large structure located

toward the posterior of the forebrain, between the thalamus and the cerebral cortex, 76, 79, 395–401

and amnesia, 395, 402 commissures, 424, 428 damage to, 395–398, 396 function of, 398–399 memory and learning, 76, 79, 119, 389,

395–401, 402 new neurons in, 119, 392, 471–472, 474 old age and, 132 overview of, 79 and pain, 204, 204 as part of the limbic system, 76 and schizophrenia, 484 and stress, 379

08202_subjectindex_ptg01.indd 595 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

596 SUBJECT INDEX

Histamine, 272 Histones proteins that bind DNA into a

shape that resembles a string wound around a ball, 107, 108

Hold function, 240 Homeobox genes, 117 Homeostasis tendency to maintain a

variable, such as temperature, within a fixed range, 291–292

Homosexuality. See Sexual orientation Homozygous having two identical genes for

a given characteristic, 105 Horizontal cells type of cell that receives

input from receptors and delivers inhibitory input to bipolar cells, 151, 162, 162, 163–164

Horizontal plane, 69, 70 Hormone chemical that is secreted by cells

in one part of the body and conveyed by the blood to influence other cells, 3, 59–61

activating effects of, 328–332 and attack behaviors, 363–364, 364 and genital differentiation, 324–325, 324 list of, 60 love-enhancing hormone, 454 organizing effects of, 324–327 overview of, 59–61 parental behavior, 332–333 sex hormones, 322–338

Hospital dilemma, 358, 358 HPA axis the hypothalamus, pituitary gland,

and adrenal cortex, 377, 377 Human subjects, use of in research, 503 Hunger, 303–319

brain mechanisms, 309–313, 309 digestion and food selection, 303–305 eating disorders, 313–316 short- and long-term regulation of

feeding, 305–309 Huntingtin protein produced by the gene

whose mutation leads to Huntington’s disease, 253

Huntington’s disease neurological disorder characterized by jerky arm movements and facial twitches and later by tremors, writhing movements, and psychological symptoms, 251–253, 252, 253, 277, 481

Hypercomplex cells visual cortex cells that respond to a bar-shaped pattern of light in a particular orientation, but only if it does not extend beyond a certain point, 168, 169

Hyperpolarization increased polarization across a membrane, 31

Hypocretin neurotransmitter that increases wakefulness and arousal, 273

Hypothalamus small area near the base of the brain, ventral to the thalamus, 60, 77

arousal and sleep, 272–273, 272 behaviors controlled by, 75, 77 and body temperature, 294–295, 294 fear and anxiety, 371, 373, 377 hormone release, 61 and hormones, 60, 60, 61 HPA axis, 377, 377

and hunger, 309–313, 309, 311 lesions, effects of, 313 location of, 60, 61, 312 major subdivisions of, 311–313 overview of, 77 and pain, 204 as part of the limbic system, 75, 76 in sagittal section of the brain, 75 sex differences in, 324, 325–326, 326 and sexual orientation, 345–346 and sleep, 272–273, 272

Hypothalamus-pituitary-adrenal cortex axis, 377, 377

Hypovolemia, 300, 300 Hypovolemic thirst thirst provoked by low

blood volume, 300–301, 301

Identity position view that mental processes and certain kinds of brain processes are the same thing, described in different terms, 442

Immune system structures that protect the body against viruses, bacteria, and other intruders, 377–379, 378

Immunoglobulins, 118 Impaired infant vision, 173, 173 Implicit memory an influence of experience

on behavior, even if the influence is not recognized, 398

Impotence the inability to have an erection, 329

Inattentional blindness tendency to ignore most changes in a scene that occur slowly or during an eyeblink, 446

Infant amnesia tendency to forget the experiences of early childhood, 392

Infant vision, 179–180, 179, 180 Inferior, 70 Inferior colliculus swelling on the surface of

the tectum that contributes to hearing, 73, 73

Inferior temporal cortex portion of the cortex where neurons are highly sensitive to complex aspects of the shape of visual stimuli within very large receptive fields, 177, 178–179

Inhibition, of movement, 236 Inhibitory postsynaptic potential (IPSP)

temporary hyperpolarization of a membrane, 45–47

Inhibitory synapses, 45–46, 46, 163–164 Inner-ear deafness hearing loss that results

from damage to the cochlea, the hair cells, or the auditory nerve, 195

Insomnia inadequate sleep, 275–276 Instrumental conditioning a type of

condition in which reinforcement or punishment changes the future probabilities of a given behavior, 384, 385

Insulin pancreatic hormone that enables glucose to enter the cells, 52, 60, 306– 308, 307, 309

Intelligence, 415–420 and brain evolution, 418 and brain size, 415–417, 415, 416 and the environment, 417–418

and gender, 416–417 and genetics, 417–418 and language, 432–433

Internal regulation, 289–319 hunger, 303–319 temperature, 290–297 thirst, 298–302

Interneuron neuron whose axons and dendrites are all confined within a given structure, 21, 45

Interpreter tendency of the left hemisphere to invent an explanation for an action when the true cause was unconscious, 429

Intersex a person whose sexual development is intermediate or ambiguous, 339, 339

Interstitial nucleus 3 of the anterior hypothalamus (INAH-3), 345–346, 345, 346

Intestines, in regulation of feeding, 306 Intracellular fluid, 298 Intrinsic neuron neuron whose axons and

dendrites are all confined within a given structure, 21

Involuntary movements, 230–231 Ion channels, 29, 29 Ionic bond attraction between a positively

charged ion and a negatively charged ion, 498

Ionotropic effects synaptic effects that depend on the rapid opening of some kind of gate in the membrane, 54–55

Ions atoms that have gained or lost one or more electrons, 498

Iowa Gambling Task, 454 Ipsilateral, 70 IPSP. See Inhibitory postsynaptic potential Ischemia type of stroke resulting from a

blood clot or other obstruction in an artery, 136

Itch, 208

James-Lange theory proposal that an event first provokes the autonomic arousal and skeletal responses and that the feeling aspect of emotion is the perception of those responses, 353–354

Jealousy, 338 Jet lag a disruption of circadian rhythms due

to crossing time zones, 261, 261 Joint laxity, 371 The Journal of Neuroscience, 9

K-complex a sharp brain wave associated with temporary inhibition of neuronal firing, 269, 269

Ketamine, 471, 488 Kidney, 60 Kin selection selection for a gene that

benefits the individual’s relatives, 113 Klüver-Bucy syndrome a behavioral

disorder caused by temporal lobe damage, 85, 367

Knee-jerk reflex, 229, 229 Koniocellular neurons small ganglion

cells that occur throughout the retina, 165–166, 166

08202_subjectindex_ptg01.indd 596 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 597

Korsakoff’s syndrome brain damage caused by prolonged thiamine deficiency, 25, 390, 453

Krause end bulbs, 200

Lactase intestinal enzyme that metabolizes lactose, 304

Lactose sugar in milk, 304, 305 Lamarckian evolution discredited

hypothesis that the use or disuse of some body part will increase or decrease its size in the next generation, known as “inheritance of acquired characteristics”, 110–111

Laminae layer of cell bodies that are parallel to the surface of the cerebral cortex and separated from each other by layers of fibers, 70, 83, 83

Language, 430–440 as a specialization, 433–434 and brain damage, 434–436, 435 Broca’s aphasia, 434–436, 436 chimpanzees, bonobos, and parrots,

430–432, 430–432 dyslexia, 437 evolution of, 430–434 and intelligence, 432–433 nonhuman precursors of, 430–432 sensitive period for learning, 434 Wernicke’s aphasia, 436, 436

Language acquisition device a built-in mechanism for acquiring language, 433

Large-scale integration, 87–88 Lateral, 69, 70 Lateral corticospinal tract a set of axons from

the primary motor cortex, surrounding areas, and midbrain area that is primarily responsible for controlling the peripheral muscles, 238–239, 238

Lateral geniculate body, 77 Lateral geniculate nucleus thalamic

nucleus that receives incoming visual information, 162–163, 163, 166

Lateral hypothalamus area of the hypothalamus that controls insulin secretion, alters taste responsiveness, and facilitates feeding in other ways, 311–312, 311, 313

Lateral inhibition the reduction of activity in one neurons by activity in neighboring neurons, 163–164, 165

Lateral interpositus nucleus (LIP) a nucleus of the cerebellum that is essential for certain conditioned responses, 387, 388

Lateralization divisions of labor between the two brain hemispheres, 424–429

Lateralization of function, 424–429 corpus callosum and split-brain operation,

426–429 and handedness, 427, 427 hemispheric specializations in intact

brains, 424–425 left and right hemispheres, 424–425, 429 overstatements, avoiding, 429 visual and auditory connections, 425–426,

426

Lateral preoptic area part of the hypothalamus that controls drinking, 299, 313

Law of specific nerve energies statement that whatever excites a particular nerve always sends the same kind of information to the brain, 148

Lazy eye, 171, 172 L-dopa chemical precursor to dopamine,

53, 250 L-dopa treatment, 250 Learned adjustments in behavior, 141–142 Learned fears, 366 Learning and memory, 383–414

basal ganglia, 244 brain areas for, 244, 386, 387, 401–403, 402 engram, 384–387, 386 Hebbian synapse, 406 hippocampus and, 389, 395–401, 402 language learning, 434 localized representations of memory, 384,

385 long-term potentiation (LTP), 408–411, 409 memory consolidation, 388–389 memory improvement, 412 and sleep, 388–389 storing information in the nervous system,

405–414 striatum and, 401–402, 402

Left hemisphere, 424–425 Leptin hormone released by fat cells in

proportion to their volume, 60, 308– 309, 308, 309

Lesion damage to a structure, 91–92, 98 Leukocytes white blood cells, 377, 378 LH. See Luteinizing hormone Lifeboat dilemma, 358, 358 Ligand, 54 Ligand-gated channel channel that opens

when a neurotransmitter attaches, 54 Light wavelengths, 153–154, 153 Limbic system interlinked structures that

form a border around the brainstem, 74–75, 76, 354–355, 355

Lithium element whose salts are often used as therapy for bipolar disorder, 476

Lobotomies. See Prefrontal lobotomy Local anesthetic drugs that attach to the

sodium channels of the membrane, stopping action potentials, 32

Local committee review, 502–503 Localized representations of memory, 384,

385 Local neurons neurons without an axon,

36–37 Locus coeruleus a small structure in the

pons that emits bursts of impulses in response to meaningful events, especially those that produce emotional arousal, 272, 272

Longitudinal fissure, 5, 76 Long-term memory memory of events that

occurred further back in time, 387–388, 395

Long-term potentiation (LTP) phenomenon that when one or more axons connected to a dendrite bombard

it with a rapid series of stimuli, some of the synapses become more responsive to new input of the same type for minutes, days, or weeks, 408–411, 409

Love, biology of, 454–455 LSD (lysergic acid diethylamide), 56, 56, 488 LTD. See Long-term depression LTP. See Long-term potentiation Lucid dreaming, 273 Luteinizing hormone (LH) hormone

released from the anterior pituitary that causes the follicle to release an ovum, 60, 329, 329

Magnetic resonance imaging (MRI) method of imaging a living brain by using a magnetic field and a radio frequency field to make atoms with odd atomic weights all rotate in the same direction and then removing those fields and measuring the energy that the atoms release, 96–97, 98, 137

Magnetoencephalograph (MEG) a device that measures the faint magnetic fields generated by brain activity, 94, 94, 98

Magnocellular neurons large cell bodies with large receptive fields that are distributed evenly throughout the retina, 165, 166

Major depression a condition in which people feel sad and helpless every day for weeks at a time, 468–470, 468. See also Antidepressant drugs

brain scans, 458 Mania a condition characterized by restless

activity, excitement, laughter, self- confidence, rambling speech, and loss of inhibitions, 476

Manic-depressive disorder. See Bipolar disorder

MAO (monoamine oxidase) enzyme that converts catecholamines and serotonin into synaptically inactive chemicals, 53

MAOIs. See Monoamine oxidase inhibitors Masking use of one stimulus to block

perception of another, 442–443 Mass action concept that the cortex works

as a whole and the more cortex, the better, 386

Materialism view that everything that exists is material or physical, 442

Mates, characteristics sought in, 338 Mating behavior, evolutionary

interpretations, 337–338 MDMA (“Ecstasy”), 59 Mechanical senses, 199–210

itch, 208 pain, 203 somatosensation, 199–203 vestibular sensation, 199, 200

Medial, 69, 70 Medial areas of the hypothalamus,

312–313, 313 Medial corticospinal tract set of axons

from many parts of the cerebral cortex, midbrain, and medulla; responsible for control of bilateral muscles of the neck, shoulders, and trunk, 238, 239

08202_subjectindex_ptg01.indd 597 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

598 SUBJECT INDEX

Medial preoptic area (MPOA), 326, 328 Medical fields, 9 Medulla hindbrain structure located

just above the spinal cord; could be regarded as an enlarged extension of the spinal cord, 73, 73, 74

MEG. See Magnetoencephalograph Meissner’s corpuscles, 200, 201 Melanocortin type of chemical that

promotes satiety, 310, 314 Melatonin hormone that influences both

circadian and circannual rhythms, 60, 265, 305

Membrane structure that separates the inside of the cell from the outside environment, 19, 19, 28–29, 28

Memory and learning, 96, 383–414 aging and, 132 basal ganglia, 401–402 brain areas for, 386, 387, 401–403, 402 flashbulb memories, 389 Hebbian synapse, 406 hippocampus and, 389, 395–401, 402 information storage in the nervous system,

405–414 localized representations of memory,

384–387, 385 long-term potentiation (LTP), 408–411,

409 memory consolidation, 388–389 memory improvement, 412 memory loss, 389–392, 395–398 physiology of, 413 and sleep, 283 striatum and, 401–402, 402 types of memory, 387–389, 396–398

Men aggressive behaviors, 363–364, 364 autism spectrum disorder and, 492 brain size compared to women, 416–417 characteristics sought in mates, 338 discrepancies of sexual appearance,

341–342 effects of sex hormones on nonsexual

characteristics, 331 gender assignment and rearing,

340–341 genitals, 324–325, 324 intelligence and, 417 interest in multiple mates, 337–338 and jealousy, 338 parental behavior, 332–333 and pheromones, 220 and schizophrenia, 481 sex hormones, 328–329

Mendelian genetics, 104–108 Meninges membranes that surround the

brain and spinal cord, 79 Menstrual cycle a periodic variation in

hormones and fertility over the course of about 28 days, 220, 329–331, 329

Mentalism view that only the mind really exists and that the physical world could not exist unless some mind were aware of it, 442

Merkel disks, 200, 200, 201 Mesostriatal system, 488

Metabotropic effects a sequence of metabolic reactions that produce slow and long- lasting effects at a synapse, 55, 55

Methadone drug similar to heroin and morphine that is taken orally, 57, 465

Methods. See Research methods Methylphenidate stimulant drug prescribed

for ADHD that increases the stimulation of dopamine synapses by blocking the reuptake of dopamine by the presynaptic neuron, 57, 59, 277, 412

Microdeletion deletion of a small part of a chromosome, 483

Microelectrodes, 29, 29, 31, 43 Microglia cells that remove waste material

and other microorganisms from the nervous system, 22, 23

Midbrain middle part of the brain, 73–74, 73, 75, 117, 118

Middle ear, 190 Middle-ear deafness hearing loss that

occurs if the bones of the middle ear fail to transmit sound waves properly to the cochlea, 195

Middle temporal cortex, 181 Middle temporal cortex (area MT), 181, 182 Midget ganglion cells ganglion cells in the

fovea of humans and other primates, 150

Migrate movement of brain neurons or glia, 118

Mind—body problem or mind—brain problem question about the relationship between mental experience and brain activity, 411–412

Minimally conscious state condition of decreased brain activity with occasional, brief periods of purposeful actions and limited speech comprehension, 268

Miracle berries, 212 Mirror neurons cells that are active during

a movement and while watching someone else perform the same movement, 236–237

Mitochondrion structure that performs metabolic activities, 19

Modafinil, 412 Molecular basis of action potential, 32–33 Molecule two or more atoms bound

together, 498, 498, 499 Monism belief that the universe consists of

only one kind of substance, 441–442 Monoamine oxidase A (MAOA), 363 Monoamine oxidase inhibitors (MAOIs)

drugs that block the enzyme monoamine oxidase (MAO), a presynaptic terminal enzyme that metabolizes catecholamines and serotonin into inactive forms, 470, 471

Monoamines chemicals formed by a change in certain amino acids, 52

Monozygotic twins twins derived from one egg, 108, 342, 343

Mood disorders, 468–479 antidepressant drugs, 470–473 bipolar disorder, 476, 476

major depressive disorder, 468–470 seasonal affective disorder, 474–475, 475 and sleep, 474–475, 475, 476

Mooney faces, 170 Moral decisions, and emotions, 358–359, 358 Morning people and evening people,

261–262 Moro reflex, 365 Morphine, 57, 203, 207 Morris water maze a procedure used to test

for spatial memory in nonhumans, 400, 400

Motion blindness an impaired ability to perceive movement, 182–183

Motion perception, 181–183 Motor control, 226–232 Motor cortex, 77, 85, 86, 233–235, 234, 244 Motor information in the cortex, 85, 86 Motor neuron neuron that receives

excitation from other neurons and conducts impulses to a muscle, 19, 20, 70, 233

Motor program a fixed sequence of movements, 230–231

Move function, 240 Movement, 225–255

basal ganglia and, 241–244, 243 brain mechanisms, 233–248, 238 cerebellum and, 239–241 cerebral cortex and, 84 and conscious decisions, 244–246, 245 control of, 226–232, 234, 246–247 and corticospinal tracts, 238–239, 238 disorders, 249–255 inhibition of, 236 and muscles, 226–230, 227 planning of, 235–236 and temperature, 226–228, 228 units of, 230–231

MPP+ a chemical that accumulates in, and then destroys, neurons that release dopamine, 250

MPTP a chemical that the body converts to MPP+, 250

MRI. See Magnetic resonance imaging MST (medial superior temporal cortex),

temporal cortex area that responds best to the expansion, contraction, or rotation of a visual display, 181–183, 182

MT (or V5) area of the middle temporal lobe that is important for perception of visual motion, 177, 181–183, 182

Müllerian ducts embryonic structures that can develop into a female’s oviducts, uterus, and upper vagina, 322, 322

Müllerian-inhibiting hormone (MIH), 322 Multiple mates, interest in, 337–338 Multiple sclerosis, 36 Muscles, 226–230, 227

antagonistic, 226, 227 of athletes, 228 control of by proprioceptors, 228–230 fast vs. slow, 226–228, 228

Muscle spindle a receptor parallel to the muscle that responds to a stretch, 229, 229

08202_subjectindex_ptg01.indd 598 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 599

Music training, 127–131, 128, 129–130 Mutation a heritable change in a DNA

molecule, 107 Myelin an insulating material composed of

fats and proteins, 35, 35 Myelinated axons axons covered with

myelin sheaths, 20, 35, 35 Myelination process by which glia

produce the insulating fatty sheaths that accelerate transmission in many vertebrate axons, 118

Myelin sheath insulating material that covers vertebrate axon, 21, 23, 35–36, 35

Narcolepsy a condition characterized by frequent periods of sleepiness during the day, 276–277

Natural killer cells, 377, 378 Navigation, 399–401 Necrosis, 122 Negative color afterimage result of staring

at a colored object for a prolonged length of time and then looking at a white surface, 155–156, 155, 156

Negative feedback homeostatic processes that reduce discrepancies from the set point, 51, 57–59, 291

Negative symptoms absence of behaviors ordinarily seen in normal people (e.g., lack of emotional expression), 480

Nerve, 70 Nerve cells. See also Neurons

blood—brain barrier, 23–25, 24 cells of the nervous system, 16, 18–27,

19, 20 Nerve deafness hearing loss that results

from damage to the cochlea, the hair cells, or the auditory nerve, 195

Nerve growth factor (NGF) a protein that promotes the survival and growth of axons in the sympathetic nervous system and certain axons in the brain, 122

Nerve impulses, 28–39 action potential, 31–36 local neurons, 36–37 myelin sheath and saltatory conduction,

35–36, 35 propagation of the action potential,

33–35, 34 resting potential, 28–29

Nervous system cell loss in, 122–123, 123 cells of, 16, 18–27, 19, 20 divisions of, 68–69, 68 structure (anatomy) of, 68–81

Nervous system, information storage in, 405–414

blind alleys, 405–406 Hebbian synapse, 406 long-term potentiation (LTP), 408–411, 409 memory improvement, 412 single-cell mechanisms of invertebrate

behavior change, 407–408, 407, 408 Neural Darwinism principle of competition

among axons, 122 Neuroanatomy the anatomy of the nervous

system, 67–81

Neurocognitive hypothesis proposal that dreams represent thinking related to recent memories under conditions of reduced sensory input, 285

Neurodevelopmental hypothesis proposal that schizophrenia begins with abnormalities in the prenatal or neonatal development of the nervous system, based on either genetics or other influences, 483–484

Neuroleptic drug drug that tends to relieve schizophrenia and similar conditions, 486

Neuromodulators chains of amino acids, 55 Neuromuscular junction a synapse between

a motor neuron axon and a muscle fiber, 226

Neurons cells that receive information and transmit it to other cells and the brain, 5–6, 5, 18, 19–21

cell death and, 122, 124 definition of, 18 functions of, 18 growth and development of, 118 images of, 16, 20 membrane of, 28–29, 28 methods for recording activity, 93–96 new neurons later in life, 119 nourishment of, 25 number in the human brain, 18, 18, 82,

416, 416 structure of, 19–21, 19, 20 survival of, determinants, 122–123 variations in, 21, 22

Neuropeptides chains of amino acids, 52, 55–56, 56

Neuropeptide Y (NPY) peptide that blocks the satiety actions of the paraventricular nucleus, 310

Neurotransmitters chemicals released by neurons that affect other neurons

agonists and antagonists, 460 and behavior, 62, 272–273 in events at the synapse, 52–53 inactivation and reuptake of, 51, 57 list of, 52 release and diffusion of, 53–54 storage of, 53 structures of, 52, 500 synthesis of, 52–53, 53 types of, 52, 52

Neurotrophin a chemical that promotes the survival and activity of neurons, 123

NGF. See Nerve growth factor Niacin, 481 Nicotine a stimulant drug that stimulates

certain acetylcholine receptors, 56, 59, 463

Night terrors experiences of intense anxiety from which a person awakens screaming in terror; more severe than a nightmare, 277

Nitric oxide a gas released by many small local neurons, 52, 329, 411

NMDA receptor a glutamate receptor that can respond to the drug N-methyl-D- aspartate (NMDA), 409–411, 410

NO. See Nitric oxide Nodes of Ranvier interruptions in the

myelin sheath of vertebrate axons, 21, 35, 35

Nonfluent aphasia brain damage that causes impaired production of language, 434–436

Non-REM (NREM) sleep stages of sleep other than REM, 270

Nonsexual characteristics, effects of sex hormones on, 331

Nontasters, 214–215, 215, 216 Norepinephrine, 53, 60, 71, 272, 272, 500 Novocain, 208 NPY. See Neuropeptide Y NREM sleep. See Non-REM sleep NTS. See Nucleus of the tractus solitarius Nuclei of the cerebellum clusters of cell

bodies in the interior of the cerebellum, 240, 241

Nucleus structure that contains the chromosomes, 19, 19

Nucleus of nerve cell bodies, 70 Nucleus accumbens brain area that is rich

in dopamine and is central to the brain’s reinforcement system, 312, 332, 462–463, 463, 468

Nucleus basalis a forebrain structure that lies on the ventral surface; receives input from the hypothalamus and basal ganglia; sends axons to areas in the cerebral cortex, 78–79, 78

Nucleus of the tractus solitarius (NTS) structure in the medulla that receives input from taste receptors, 214, 215, 312

Nutrition, 474, 481, 493

Obesity, 314 Occipital cortex, 77 Occipital lobe posterior section of the

cerebral cortex, 75, 84, 84 Old age, 132 Olfaction the sense of smell, which is the

response to chemicals that contact the membranes inside the nose, 216–220

differences in, 219–220 Olfactory bulb, 5, 76, 84, 218 Olfactory cells neurons responsible

for smell, located on the olfactory epithelium in the rear of the nasal air passages, 217–218, 218

Olfactory receptor proteins, 219, 219 Olfactory receptors, 119, 217–218, 218 Oligodendrocytes glia cells that build

myelin sheaths, 22, 23 Ondansetron, 56 Ontogenetic explanation understanding in

terms of how a structure or behavior develops, 7, 8

Open class of grammatical forms, 435 Opiate abuse, medications for, 465 Opiate drugs drugs derived from the opium

poppy, 56–57, 59, 463 Opioid mechanisms systems that respond

to opiate drugs and similar chemicals, 205, 206

Opioids, 205–207

08202_subjectindex_ptg01.indd 599 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

600 SUBJECT INDEX

Opponent-process theory idea that we perceive color in terms of opposites, 155–156

Optic chiasm area where axons from each eye cross to the opposite side of the brain, 163, 166, 425, 426

Optic nerve ganglion cell axons that exit through the back of the eye and continue to the brain, 149, 150, 151, 163

Optic tract, 163 Optogenetics method of implanting a

receptor into a neuron and stimulating it with light, to investigate the functions of a particular type of neuron, 92–93, 98

Oral factors in regulation of feeding, 305–306, 305

Orbitofrontal cortex brain area that responds to a reward based on how it compares to other likely outcomes, 453–454, 453, 456

Orexin neurotransmitter that increases wakefulness and arousal, 273, 276–277, 310, 371

Organizing effects long-lasting effects of a hormone that are present during a sensitive period early in development, 324–327

Organum vasculosum laminae terminalis (OVLT) structure adjoining the third ventricle, important for monitoring osmotic pressure and sodium concentration in the blood, 299, 299

Osmotic pressure tendency of water to flow across a semipermeable membrane from the area of low solute concentration to the area of high solute concentration, 298, 299

Osmotic thirst thirst triggered by certain neurons that detect the loss of their own water, 298–300, 301

Oval window a membrane of the inner ear, 189, 190

Ovaries the female’s egg-producing organs, 60, 322, 329–330, 330

OVLT (organum vasculosum laminae terminalis) brain area that detects osmotic pressure and salt content of the blood, 299, 299

Oxytocin hormone released by posterior pituitary; important for sexual and parental behaviors, 60, 60, 61, 332, 454–455

Pacinian corpuscle receptor that responds to a sudden displacement of the skin or high- frequency vibrations on the skin, 200, 200, 201

Pain, 203–207 emotional, 204–205 messages in the brain, 204 relief of, 205–207 sensitization of, 207–208 stimuli and spinal cord path, 203, 204

Pancreas, 60, 306–307 Panic attack period marked by extreme

sympathetic nervous system arousal, 354

Panic disorder condition marked by frequent periods of anxiety and rapid breathing, increased heart rate, sweating, and trembling, 371

Papillae structures on a tongue’s surface that contain taste buds, 211, 212

Paradoxical sleep sleep that is deep in some ways and light in others, 269

Parallel fibers axons in the cerebellum, parallel to one another and perpendicular to the planes of Purkinje cells, 241, 242

Paralysis, 238 Paraplegia, 238 Parasympathetic nervous system system

of nerves that facilitate vegetative, nonemergency responses by the body’s organs, 71, 72, 352–353, 352

Paraventricular hypothalamus, 311 Paraventricular nucleus (PVN) part of the

hypothalamus in which activity tends to limit meal size and damage leads to excessively large meals, 299, 310, 310, 313

Parental behavior, 332–333, 332 Parietal lobe section of the cerebral cortex

between the occipital lobe and the central sulcus, 75, 84–85, 84, 403

Parkinson’s disease malady caused by damage to a dopamine pathway, resulting in slow movements, difficulty initiating movements, rigidity of the muscles, and tremors, 78–79, 244, 249–251, 249

Parvocellular neurons small cell bodies with small receptive fields in or near the fovea, 165, 166

Pathfinding by axons, 119–121, 120 PCP. See Phencyclidine Peacocks, 111 Peptide hormones hormones composed of

short chains of amino acids, 59 Perception, 6, 148–149, 154 Perfect pitch, 195 Periaqueductal gray area area of the

brainstem that is rich in endorphin synapses, 205, 206

Periodic limb movement disorder a sleep disorder characterized by repeated involuntary movement of the legs and sometimes the arms, 277

Periodic table of the elements, 497 Periovulatory period time around the middle

of the menstrual cycle of maximum fertility and high estrogen levels, 330

Peripheral nervous system (PNS) nerves outside the brain and spinal cord, 68, 68

Peripheral vision, 152–153, 153 PET (positron-emission tomography)

method of mapping activity in a living brain by recording the emission of radioactivity from injected chemicals, 94, 94, 98, 458, 476

PGO waves a distinctive pattern of high- amplitude electrical potentials that occur first in the pons, then in the lateral geniculate, and then in the occipital cortex, 274, 275

Phantom limb a continuing sensation of an amputated body part, 140–141, 141

Phase-advance, 261, 275, 275 Phase-delay, 261, 275, 275 Phase difference, 194, 194, 195 Phencyclidine (PCP) drug that inhibits the

NMDA glutamate receptors, 481, 488 Phenothiazines a chemical family

that includes antipsychotic drugs (chlorpromazine) that relieve the positive symptoms of schizophrenia, 486

Phenylketonuria (PKU) a genetic inability to metabolize the amino acid phenylalanine, 109–110

Phenylthiocarbamide (PTC), 105, 214–215 Pheromones chemicals released by an

animal that affect the behavior of other members of the same species, 220, 290

Phi phenomenon tendency to see something as moving back and forth between positions when in fact it is alternately blinking on and off in those positions, 445

Photopigments chemicals contained in rods and cones that release energy when struck by light, 153

Phrenology a process of relating skull anatomy to behavior, 96, 97

Phthalates, 328 Physics, 4 Physiological explanation understanding

in terms of the activity of the brain and other organs, 7, 8

Pineal gland an endocrine gland located just posterior to the thalamus that releases the hormone melatonin, 60, 73, 263, 265

Pinna the outer ear structure of flesh and cartilage that sticks out from each side of the head, 189–190, 189

Pitch the aspect of auditory perception related to the frequency of a sound, 188, 190–191, 195

Pitch perception, 190–191, 195 Pituitary gland an endocrine gland attached

to the base of the hypothalamus, 77 and hormones, 60, 60, 61 HPA axis, 377, 377 interaction with ovary, 329, 330 and intersexes, 339 major subdivisions of, 60, 61, 294 overview of, 60, 77 in sagittal section of the brain, 75

PKU (phenylketonuria) a genetic inability to metabolize the amino acid phenylalanine, 109–110

Place cells hippocampal neurons that respond most strongly when an animal is in a particular place and headed in a particular direction, 400

Placebos a drug or other procedure with no pharmacological effects, 96, 207

Place theory concept that pitch perception depends on which part of the inner ear has cells with the greatest activity level, 190

Planning, of movement, 235–236

08202_subjectindex_ptg01.indd 600 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 601

Planum temporale section of the temporal cortex that is larger in the left hemisphere, 425, 425

Plaques, 390–391, 391 Plasticity after brain damage, 136–144 PNS. See Peripheral nervous system POA/AH (preoptic area/anterior

hypothalamus) brain area important for temperature regulation, thirst, and sexual behavior, 295, 295

Polarization difference in electrical charges between the inside and outside of the cell, 28–29, 30, 31

reversed polarity, 32 Poliomyelitis, 238 Polysomnograph a combination of EEG

and eye-movement records, 268–269, 268, 269

Pons hindbrain structure that lies anterior and ventral to the medulla, 73, 73

Pontomesencephalon part of the reticular formation that contributes to cortical arousal, 271, 272

Positive symptoms presence of behaviors not seen in normal people, 480

Positron-emission tomography (PET) method of mapping activity in a living brain by recording the emission of radioactivity from injected chemicals, 94, 94, 98

Postcentral gyrus area just posterior to the central gyrus; primary receptor site for touch and other body sensations, 84–85, 84, 85

Posterior, 69, 70 Posterior parietal cortex area with a

mixture of visual, somatosensory, and movement functions, particularly in monitoring the position of the body relative to objects in the world, 234, 235–236

Posterior pituitary portion of the pituitary gland, which releases hormones synthesized by the hypothalamus, 60, 60, 61, 294

Postganglionic fibers, 71, 72 Postsynaptic cells, 57–59 Postsynaptic neuron neuron that receives

transmission from another neuron, 43, 44, 57–59

Post-traumatic stress disorder (PTSD) a condition resulting from a severe traumatic experience, leading to a long-lasting state of frequent distressing recollections (flashbacks) and nightmares about the traumatic event, avoidance of reminders of it, and exaggerated arousal in response to noises and other stimuli, 108, 371–372

Potassium channels, 29, 33 Potassium gradients, 30, 30 Potassium ions, 30, 33, 33 Practitioner fields of psychology, 8–9 Precentral gyrus the posterior portion

of the frontal lobe of the cortex, specialized for control of movement, 84, 85, 85, 233, 234

Predispositions, 460–462 behavioral predictors of abuse, 461–462, 462 environmental influences, 461 genetic influences, 460–461

Prefrontal cortex anterior portion of the frontal lobe, which responds mostly to the sensory stimuli that signal the need for a movement, 86–87, 118, 312

and addiction, 464 and attention, 443, 447 damage to, 453, 464, 481 and decision-making, 452, 453, 453 functions of, 87 glutamate and, 488 and hearing, 195 and movement, 234, 236 overview of, 86–87 and pain, 204, 207 and schizophrenia, 485, 488 species differences in, 86

Prefrontal lobotomy surgical disconnection of the prefrontal cortex from the rest of the brain, 86–87, 86

Preganglionic axons, 71, 72 Premotor cortex area of the frontal

cortex, active during the planning of a movement, 234, 236

Prenatal environment alcoholism, 123–124, 123 autism spectrum disorders, 493 schizophrenia, 484 sexual orientation, 344

Preoptic area/anterior hypothalamus (POA/AH) brain area important for temperature regulation, thirst, and sexual behavior, 295, 295, 313, 332

Presynaptic changes, 411 Presynaptic neuron neuron that delivers

transmission to another neuron, 43 Presynaptic terminal (end bulb or

bouton) point where an axon releases chemicals, 21

Primary auditory cortex (area A1) area in the superior temporal cortex in which cells respond best to tones of a particular frequency, 191–193, 193

Primary motor cortex area of the prefrontal cortex just anterior to the central sulcus; a primary point of origin for axons conveying messages to the spinal cord, 77, 85, 86, 233–235, 234, 235

Primary somatosensory cortex, 77, 84–85, 202–203, 234, 235

Primary visual cortex (area V1) area of the cortex responsible for the first stage of visual processing, 84, 166–170, 177–184, 177

Primates order of mammals that includes monkeys, apes, and humans, 82

aggressive behaviors, 362–365 bonobos, 430–431, 431 brains of, 82, 83 fear and anxiety, 365–371 and language, 430–431, 430–431

Procedural memory the development of motor skills and habits; a special kind of implicit memory, 398

Productivity ability of language to produce new signals to represent new ideas, 430

Progesterone steroid hormone that prepares the uterus for the implantation of a fertilized ovum and promotes the maintenance of pregnancy, 323, 323

Prolactin, 332 Proliferation production of new cells, 118 Propagation of the action potential

transmission of an action potential down an axon, 33–35, 34

Proprioceptor a receptor that detects the position or movement of a part of the body, 228–230, 229

Prosody, 189 Prosopagnosia the inability to recognize

faces due to damage of several brain areas, 180–181

Prostaglandins chemicals the immune system delivers to the hypothalamus, causing a fever, 377

Protein hormones hormones composed of long chains of amino acids, 59

Proximal, 70 Psychological disorders, 459–495

autism spectrum disorders, 482–485 mood disorders, 468–479 schizophrenia, 480–491 substance abuse, 460–467

Psychology evolutionary, 112–114 physics and, 4

Psychoneuroimmunology study of the ways in which experiences, especially stressful ones, alter the immune system and how the immune system influences the central nervous system, 378

Psychotherapy, 473 PTC (phenylthiocarbamide), 105, 214–215 PTSD. See Post-traumatic stress disorder Pudendal nerve, 330 Punishment an event that suppresses the

frequency of the preceding response, 384, 385

Pupil an opening in the center of the iris where light enters, 149, 150

Pure autonomic failure condition when output from the autonomic nervous system to the body fails, 353–354

Purines a category of chemicals including adenosine and several of its derivatives, 52, 499

Purkinje cells flat cells in sequential planes, in the cerebellar cortex, parallel to one another, 22, 241, 242

Putamen large subcortical structure, part of the basal ganglia, 77, 78, 241, 243

PVN. See Paraventricular nucleus Pyramids, 238, 238

Quadriplegia, 238

Radial glia cells that guide the migration of neurons and the growth of axons and dendrites during embryological development, 22, 23

08202_subjectindex_ptg01.indd 601 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

602 SUBJECT INDEX

Radial maze an apparatus used to test spatial memory in nonhumans, 399, 399

Rapid eye movement (REM) sleep sleep stage with rapid eye movements, high brain activity, and relaxation of the large muscles, 269–271, 270, 274, 283–284, 474

Readiness potential recordable activity in the motor cortex prior to voluntary movement, 245

Receptive fields the area in visual space that excites or inhibits any neuron, 164–166, 165, 167–168

Receptors, 54–55 dopamine, 460 drugs that bind to, 56–57, 56 olfactory, 119, 217–218, 218 for osmotic pressure and blood volume,

298 taste, 211–214, 212 variations in, 56 visual, 152–153, 152, 153, 162

Receptor supersensitivity, 139 Recessive gene one that shows effects only

in the homozygous condition, 105, 106 Reciprocal altruism helping others who

may be helpful in return, 114 Red-green color deficiency, 106 Red nucleus a midbrain area that controls

certain aspects of movement, 234, 238, 238, 388

Reflex arc a circuit from sensory neuron to muscle response, 42–43, 42

Reflexes automatic muscular responses to stimuli, 230

Refractory period time when the cell resists the production of further action potentials, 36

Reinforcement, 462–463 Reinforcer any event that increases the

future probability of the preceding response, 462–463

Relative refractory period time after the absolute refractory period that requires a stronger stimulus to initiate an action potential, 36

Releasing hormone hormone released by the hypothalamus that flows through the blood to the anterior pituitary, 60, 60

REM behavior disorder a condition in which people move around vigorously during REM sleep, 277

REM sleep. See Rapid eye movement (REM) sleep

Renin, 60 Reproductive behaviors, 321–348

asexual reproduction, 321 sex and hormones, 322–336 variations in sexual behavior, 337–348

Research fields, 8 Research methods, 91–100, 98

brain anatomy correlated with behavior, 96–98, 98

effects of brain damage, 91–92, 98 effects of brain stimulation, 92–93, 92, 98 recording brain activity, 93–96, 93–95, 98

Research, use of animals in, 9–12, 9, 502–503 defense of, 12 opposition to, 11–12

Research, use of humans in, 503 Resilience ability to recover well from a

traumatic experience, 379 Resting membrane, 30 Resting potential condition of a neuron’s

membrane when it has not been stimulated or inhibited, 28–29

definition of, 29 reason for, 31 sodium and potassium channels, 29–30,

29 sodium and potassium ions, 30, 30

Reticular formation a structure that extends from the medulla into the forebrain; controls motor areas of the spinal cord and selectively increases arousal and attention in various forebrain areas, 234, 271

Retina the rear surface of the eye, which is lined with visual receptors, 149–152, 150, 151, 162

processing in, 163–164 Retinal axons, 120–121, 121 Retinal disparity the discrepancy between

what the left and right eyes see, 171 Retinex theory concept that the cortex

compares information from various parts of the retina to determine the brightness and color for each area, 156–158, 157

Retinotopic organization, 163 Retrograde amnesia loss of memory for

events that occurred before brain damage, 395

Retrograde transmitter a transmitter released by a postsynaptic cell that travels back to the presynaptic cell to modify it, 411

Reuptake reabsorption of a neurotransmitter by the presynaptic terminal, 51, 57

Rhythms of waking and sleeping biological clock, 259–262 endogenous rhythms, 258–267

Ribonucleic acid (RNA) a single-strand chemical coded by DNA, 105, 105, 107, 499

Ribosomes sites for cell synthesis of new protein molecules, 19, 19

Right hemisphere, 424, 429 Risperidone, 494 Ritalin. See Methylphenidate RNA. See Ribonucleic acid Ro15-4513, 373, 373 Robotic arm, 233, 233 Rods type of retinal receptor that detects

brightness of light, 152–153, 152, 162 Ruffini endings, 200, 201

Saccades voluntary eye movements, 182–183, 240

Saccule, 199, 200 SAD. See Seasonal affective disorder (SAD) Sagittal plane, 69, 70

Saltatory conduction the jumping of action potentials from node to node, 35–36, 35

Schizophrenia, 480–491 brain abnormalities, 484–485, 485 demographic data, 481–482 diagnosis, 480–481 differential diagnosis, 481 dopamine hypothesis of, 486 early development and later

psychopathology, 485–486, 486 family studies, 482, 482 genetics, 482–483, 482, 483 glutamate hypothesis of, 488–489 long-term course, 485 neurodevelopmental hypothesis, 483–484 prenatal and neonatal environment, 484 treatments, 486–489

Schwann cells glia cells that build myelin sheaths, 22, 23

SCN. See Suprachiasmatic nucleus Seasonal affective disorder (SAD)

depression that recurs during a particular season, such as winter, 474–475, 475

Season-of-birth effect tendency for people born in winter to have a slightly greater probability of developing schizophrenia than people born at other times of the year, 484

Secondary visual cortex (area V2) area of the brain that processes information from the primary visual cortex and transmits it to additional areas, 177, 177

Second-generation antipsychotics drugs that alleviate schizophrenia with less likelihood of movement problems, 487–488, 488

Second messenger a chemical that, when activated by a neurotransmitter, initiates communication to many areas within the neuron, 55, 55

Selective permeability ability of some chemicals to pass more freely than others through a membrane, 29

Selective serotonin reuptake inhibitors (SSRIs) drugs that block the reuptake of serotonin in the presynaptic terminal, 470, 471

Self-stimulation of the brain behavior that is reinforced by electrical stimulation of a brain area, 462, 463

Semantic dementia a loss of semantic memory, 403

Semantic memories memories of factual information, 396–397

Semicircular canals structures located in the vestibular organ, oriented in three planes and lined with hair cells; sensitive to the directional tilt of the head, 189, 199, 200

Seminal vesicles, 322, 322 Sensitive period time early in development

when experiences have a particularly strong and enduring influence, 171, 324

Sensitization an increase in response to mild stimuli as a result of exposure to more intense stimuli, 407–408

08202_subjectindex_ptg01.indd 602 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 603

Sensory information in the cortex, 85, 86 Sensory neglect, 447–448 Sensory neuron neuron that is highly

sensitive to a specific type of stimulation, 19–20, 20, 22

Sensory representations, reorganized, 140–141

Sensory systems, 187–223 audition, 188–198 chemical senses, 211–223 mechanical senses, 199–210 pain, 203–207

Sentinel behavior, 113, 113 Septal nuclei, 355 Serotonin, 500

and aggressive behaviors, 364–365 arousal and sleep, 274 and depression, 470 reuptake of, 57, 470, 470 reuptake of, blockers, 470, 471 synthesis of, 53

Serotonin norepinephrine reuptake inhibitors (SNRIs) drugs that block the reuptake of serotonin and norepinephrine, 470

Set point a value that the body works to maintain, 291

Sex differences, 337–348 activating effects of, 328–332 in the brain, 325–327, 326 effects of on nonsexual characteristics, 331 in the hypothalamus, 324, 325–326, 326 organizing effects of, 324–327 parental behavior, 332–333 in play (childhood behavior), 327–328, 327 vs. gender differences, 339

Sex hormones, 322–336 activating effects of, 328–332 effects of non-sexual characteristics, 331 organizing effects of, 324–327, 324 parental behavior, 332–333

Sex-limited genes genes that are present in both sexes but that exert their effects primarily in one sex because of activation by androgens or estrogens, 107

Sex-linked gene gene on either the X or the Y chromosome, 106–107, 106

Sexsomnia, 277 Sexual activities, female-initiated, 330–331,

331 Sexual appearance, intersexes and, 339, 339 Sexual behavior, variations in, 337–348

evolutionary interpretations of mating behavior, 337–338

gender identity and gender-differentiated behaviors, 338–342

sexual orientation, 342–346 Sexual differentiation, 332–335, 332, 333 Sexually dimorphic nucleus area in the

anterior hypothalamus that is larger in males than in females and contributes to control of male sexual behavior, 345

Sexual orientation, 342–346 behavioral and anatomical differences, 342 brain anatomy, 344–346, 345 evolution and, 343

and genetics, 342–343, 343 prenatal influences, 344

Sexual selection tendency for a gene to spread in the population if it makes individuals more appealing to the opposite sex, 337

SFO. See Subfornical organ Sham-feeding procedure in which

everything that an animal swallows leaks out a tube connected to the esophagus or stomach, 306

Shell shock. See Post-traumatic stress disorder (PTSD)

Shift work, 261 Short-term memory memory of events that

have just occurred, 387–388 Short-term recovery from brain damage,

136–138 Simple cell type of visual cortex cell that has

a receptive field with fixed excitatory and inhibitory zones, 167, 167, 169

Simple receptive fields, 167–168 Single-cell mechanisms of invertebrate

behavior change, 407–408, 407, 408 Skeletal muscles muscles that control

movement of the body in relation to the environment, 226, 227

Sleep, 257–287. See also Wakefulness and sleep

altered, and bipolar disorder, 476 altered, and depression, 474–475, 475 amount needed in humans, 275 functions of, 280–286 and inhibition of brain activity, 273–274,

274 other interruptions of consciousness, 268 species differences in, 256, 281–283, 282

Sleep apnea impaired ability to breathe while sleeping, 276

Sleep disorders, 274–277 Sleep paralysis, 273, 274 Sleep sex, 277 Sleep spindle 12 to 14 Hz brain waves in

bursts that last at least half a second, 269, 269

Sleep stages, 268–279 brain activity in REM sleep, 274, 275 brain mechanisms of, 271–274, 272 REM sleep, 269–271, 270, 283–284

Sleepwalking, 273, 277 Slow muscles, 226–228, 228 Slow-twitch fibers muscle fibers that have

less vigorous contractions and no fatigue, 228

Slow-wave sleep (SWS) sleep occupied by slow, large-amplitude brain waves, 269, 269, 270

Smell. See Olfaction Smoking, 464 Smooth muscles those that control the

digestive system and other organs, 226, 227

SNRIs. See Serotonin norepinephrine reuptake inhibitors (SNRIs)

Social neuroscience the study of how genes, chemicals, and brain activity contribute to social behavior, 454–455

Society of Neuroscience policies on use of animals and humans in research, 502–503

Sodium channels, 29, 29 Sodium gradients, 29–30, 30 Sodium ions, 30, 30, 32, 33, 33 Sodium—potassium pump mechanism that

actively transports sodium ions out of the cell while drawing in two potassium ions, 29–30, 33

Sodium-specific hunger increased preference for salty tastes, 300

Soma (cell body) structure containing the nucleus, ribosomes, and mitochondria, 19, 20, 20

Somatic nervous system part of the PNS that consists of the axons conveying messages from the sense organs to the CNS and from the CNS to the muscles, 68, 69

Somatosensory cortex, 77, 84–85, 84, 129–130, 140, 140, 202–203

Somatosensory receptors, 200–201, 200, 201 Somatosensory system sensory network

that monitors the surface of the body and its movements, 199–203

somatosensation in the CNS, 202–203, 202 Somnambulism, 273, 277 Sound, 188–189, 188 Sound localization, 193–194, 194 Sound shadow, 193, 194 Sound waves, 188, 188, 190–191 Spatial memory, 399–401 Spatial neglect a tendency to ignore the

left side of the body or the left side of objects, 447–448, 448

Spatial relationships, 429 Spatial summation combination of effects

of activity from two or more synapses onto a single neuron, 43–45, 44

Special experiences, effects of, 127–131 Specialization, fields of, 8–9 Specificity property that highly active

synapses become strengthened and less active synapses do not, 408

Spinal cord part of the CNS; it communicates with all the sense organs and muscles except those of the head, 18, 70–71, 75, 202

cross-section of, 70, 71, 142 damage/disorders, 233, 238 pain stimuli and spinal cord path, 203 as part of the central nervous system, 68,

70–71 in ventral surface, 5

Spinal nerves, 202 Split-brain operation, 426–429

competition and cooperation, 428–429 right hemisphere, 429

Split-brain people people who have undergone surgery to the corpus callosum, 427

Spontaneous firing rate a periodic production of action potentials even without synaptic input, 47

SRY the sex-determining region on the Y chromosome, 322

08202_subjectindex_ptg01.indd 603 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

604 SUBJECT INDEX

SSRIs. See Selective serotonin reuptake inhibitors (SSRIs)

Startle reflex response that one makes after a sudden, unexpected loud noise or similar sudden stimulus, 365–366

Stem cells undifferentiated cells that divide and produce daughter cells that develop more specialized properties, 118, 251

Stereotaxic instrument a device for the precise placement of electrodes in the brain, 91, 91

Steroid hormones hormones that contain four carbon rings, 322–323, 323

Stimulus, consciousness of, 442–446 binocular rivalry, 443–445, 444, 445 consciousness as a threshold

phenomenon, 445 masking, 442–443 timing of consciousness, 445–446 unattended stimulus, 444–445

St. John’s wort, 471 Stomach, in regulation of feeding, 306 Strabismus (or strabismic amblyopia or lazy

eye) a condition in which the eyes do not point in the same direction, 171, 172

Stress the nonspecific response of the body to any demand made upon it; also defined as events that are interpreted as threatening, 376–381

coping with, 379 definition of, 376 and depression, 469, 469 and gene activity, 107 general adaptation syndrome, 376 and HPA axis, 377, 377 and HPS axis, 377, 377 immune system, 377–379, 378

Stretch reflex a reflexive contraction of a muscle in response to a stretch of that muscle, 229

Striate cortex, 84, 166 Striated muscles muscles that control

movement of the body in relation to the environment, 226, 227

Striatum forebrain structure composed of the caudate nucleus and putamen, which are important for certain aspects of movement, 119, 241, 243, 401–402, 402

String theory, 4 Stroke a temporary loss of normal blood

flow to a brain area, 136–138 Stroop effect the difficulty of saying the

color of ink of a word instead of reading the word itself, 447

Structure of vertebrate nervous system, 68–81 autonomic nervous system, 71–72 forebrain, 73, 74–76 hindbrain, 72–73, 73 midbrain, 73–74, 73 spinal cord, 70–71 terminology, 68–69, 69, 70

Subfornical organ (SFO) brain structure adjoining the third ventricle of the brain, where its cells monitor osmotic pressure and sodium concentration, 299, 299

Substance abuse, 460–467 cravings, 464 dopamine and, 463 drug mechanisms, 460–463 predispositions, 460–462 and schizophrenia, 481 synaptic mechanisms, 462–463 tolerance and withdrawal, 464–465 treatments, 465

Substance-induced psychotic disorder condition similar to schizophrenia, provoked by large, repeated doses of a drug, 486

Substantia nigra a midbrain structure that gives rise to a pathway releasing dopamine, 73–74, 243, 249, 250

Subthreshold stimulation, 31 Sulcus, 118 Superior, 70 Superior colliculus swelling on either side

of the tectum; important to visual processing, 73, 73

Supertasters people with a higher than average number of taste buds, 214–215, 215

Supplementary motor cortex area of the frontal cortex; active during preparation of a rapid sequence of movements, 234, 236

Suprachiasmatic nucleus (SCN) part of the hypothalamus; provides the main control of the circadian rhythms, 263–264, 263, 345

Supraoptic nucleus part of the hypothalamus that controls the release rate of vasopressin, 299

SWS. See Slow-wave sleep Sympathetic nervous system a network

of nerves that prepare the organs for vigorous activity, 71, 72, 352–353, 352

Synapse a specialized gap as a point of communication between two neurons

anatomy of chemical events, 41–64, 53 chemical events at, 50–64, 50, 51 competition among axons, 121–122 definition of, 42 electrical, 59, 59 events in transmission at, 43–45, 43, 44 Hebbian, 406 inhibitory, 45–46, 46, 163–164 properties of, 42–43 relationship between EPSP, IPSP, and

action potentials, 46–47 wiring diagram for, 47

Synaptic cleft, 51 Synaptic delay, 43, 43 Synaptic mechanisms, 462–463 Synaptogenesis formation of

synapses, 118 Syndromal obesity, 314 Synesthesia the experience some people

have in which stimulation of one sense evokes a perception of that sense and another one also, 220–221

Tabes dorsalis, 238 Tangles, 391, 391

Tardive dyskinesia a movement disorder characterized by tremors and other involuntary movements, 487

Taste, 105, 211–216, 212, 213 Taste buds receptors on the tongue that

detect certain chemicals, 211, 212 Taste coding in brain, 214, 215 Taste receptors, 211–214, 212 Taste sensitivity, 214–216, 215 Tau protein part of the intracellular support

structure of axons, 391 T cells, 377, 378 Tectum roof of the midbrain, 73, 73 Tegmentum intermediate level of the

midbrain, 73, 73 Telencephalon, 76 Temperature

circadian rhythm in, 259, 259 and movement, 226–228, 228 receptors to detect, 200–201

Temperature regulation, 290–297 behavioral regulation, 292–293 body temperature control, 292–295,

292, 293 hibernation and, 280–281, 290 homeostasis and allostasis, 291–292

Temporal cortex, 84, 85, 181 Temporal lobe the lateral portion of each

hemisphere, near the temples, 76, 84, 85

Temporal summation a cumulative effect of repeated stimuli within a brief time, 43, 44–45, 44

Testes sperm-producing organs, 60, 322 Testicular feminization condition in which

individuals with an XY chromosome pattern have the genital appearance of a female, 340

Testosterone an androgen chemical, 60, 323–326, 323, 328–329, 363–364, 364, 365

Thalamus a pair of structures in the center of the forebrain, 76–78, 312

location of, 73 overview of, 76–77 and pain, 204, 204 in sagittal section of the brain, 75 in taste, 214–215, 215 in the visual system, 162–163

Thiamine a B 1 vitamin necessary to use

glucose, 25, 390 Thirst, 298–302 Threshold of excitation minimum amount

of membrane depolarization necessary to trigger an action potential, 31

Thymine, 105, 499 Thyroid hormones, 60, 60, 61 Tickle, 201–202 Timbre tone quality or complexity,

dependent on the harmonics of the tone, 188

Time cells hippocampal neurons that respond most strongly at a particular point within a sequence of times, 400

Timing of consciousness, 445–446 Tinnitus frequent or constant ringing in the

ears, 195

08202_subjectindex_ptg01.indd 604 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

SUBJECT INDEX 605

Tissue plasminogen activator (tPA) drug that breaks up blood clots, 137

TMS. See Transcranial magnetic stimulation

Tolerance decreased effect of a drug after repeated use, 464–465

Tone deafness, 195 Tonotopic map, 192, 193 Touch, 199, 203, 239

spinal pathways for, 202–203, 204, 239 Toxoplasma gondii, 367, 484 tPA. See Tissue plasminogen activator Tract, 70 Transcranial magnetic stimulation

(TMS) the application of an intense magnetic field to a portion of the scalp, temporarily inactivating neurons below the magnet, 92, 92, 98

Transmitter-gated channel ion channel that opens temporarily when a neurotransmitter binds to it, 54

Transporter special membrane protein where reuptake occurs in the neurotransmitter binds to it, 57

Trichromatic theory (Young-Helmholtz theory) theory that color is perceived through the relative rates of response by three kinds of cones, each one maximally sensitive to a different set of wavelengths, 154–155

Tricyclics antidepressant drugs that block the reuptake of catecholamines and serotonin by presynaptic terminals, 470

Tripartite synapse, 22 Trolley dilemma, 358, 358 Tryptophan, 52, 305 TSH-releasing hormone, 60 Turnover release and resynthesis of a

neurotransmitter, 364 Twins, 108, 109, 342, 343, 363 Tylenol (acetaminophen), 205 Tympanic membrane the eardrum,

189, 190

Unattended stimulus, 444–445 Unconditioned response (UCR)

response automatically evoked by an unconditioned stimulus, 384, 385

Unconditioned stimulus (UCS) stimulus that automatically evokes an unconditioned response, 384, 385

Unconscious people, 446 Uncorrelated stimulation in the two eyes,

171, 172 Units of movement, 230–231 Urbach-Wiethe disease, 369 Utricle, 199, 200

Vagus nerve tenth cranial nerve, which has branches to and from stomach and several other organs, 72, 74, 306

Vas deferens, 322, 322 Vasopressin (antidiuretic hormone)

hormone released by posterior pituitary; raises blood pressure and enables kidneys to conserve water, 60, 60, 61, 298, 299, 332, 333

Vegetative state condition in which someone has decreased brain activity and alternates between wakefulness and sleep but shows only limited responsiveness, such as increased heart rate in response to a painful stimulus, 268

Velocity, of an action potential, 32 Ventral toward the stomach, 69, 69, 70 Ventral lateral nucleus, 77 Ventral posterior nucleus, 77 Ventral stream visual paths in the temporal

cortex that are specialized for identifying and recognizing objects; the “what” path, 177–178

Ventricles four fluid-filled cavities within the brain, 70, 79–80

Ventromedial hypothalamic syndrome, 312 Ventromedial hypothalamus (VMH)

region of the hypothalamus in which damage leads to faster stomach emptying and increase secretion of insulin, 311, 312–313, 313, 326

Ventromedial prefrontal cortex brain area that updates preferences based on recent information and monitors confidence in a decision, 359, 453, 453, 455

Vertebrate nervous system. See Structure of vertebrate nervous system

Vesicles tiny nearly spherical packets filled with neurotransmitter molecules, 53

Vestibular nucleus cluster of neurons in the brainstem, primarily responsible for motor responses to vestibular sensation, 238, 239

Vestibular organ, 199, 200 Vestibular sensation, 199 Vision, 147–184

brain processing of visual information, 162–176

color vision, 153–158 hawks and predatory birds, 146, 150, 151 overview of visual system, 162–163, 162,

163 parallel processing in the visual cortex,

177–184 peripheral, 152–153, 153 theories of, 154–158 visual areas in human cortex, locations,

177 visual coding, 148–161 wiring diagram, 174

Visual agnosia an inability to recognize objects despite otherwise satisfactory vision, 179

Visual coding, 148–161 eye and the connection to the brain,

149–152 perceptions, general principles of, 148–

149 visual receptors, 152–153, 152, 153, 159

Visual connections in the brain hemispheres, 425, 426

Visual cortex, 84, 153, 162, 166–170, 177– 184

analysis of shape, 178–179, 178 areas in human cortex, 177

columnar organization of, 168–169, 169 development of, 170–173 facial recognition, 179–181 feature detectors, 169–170, 170 motion perception, 181–183, 182 parallel processing in, 177–184 ventral and dorsal paths, 177–178

Visual field area of the world that an individual can see at any time, 425, 426

Visual information, brain processing of, 162–176, 163

further processing, 164–166, 165 lateral inhibition, 163–164, 165 primary visual cortex, 166–170, 177–184 processing in the retina, 163–164

Visual receptors. See Cones; Rods V5. See MT VMH. See Ventromedial hypothalamus VNO. See Vomeronasal organ Volley principle tenet that the auditory

nerve as a whole produces volleys of impulses for a sound even though no individual axon approaches that frequency, 191

Voltage-gated channels membrane channel whose permeability to sodium (or some other ion) depends on the volt difference across the membrane, 32

Voluntary eye movements, 182 Voluntary movements, 230–231 Vomeronasal organ (VNO) a set of

receptors, located near, but separate from, the olfactory receptors, 220

Wakefulness and sleep, 257–287. See also sleep entries

brain mechanisms, 271–274, 272 functions of sleep, 280–286 rhythms of waking and sleeping, 258–267 stages of sleep and brain mechanisms,

268–279 Waterfall illusion, 169 Water molecule, 4, 4, 498 Water regulation, 298–302 Wavelengths, 153–154, 153

wavelength sensitivity, 154, 154 Weight loss techniques, 314–315 Wernicke-Korsakoff syndrome. See

Korsakoff’s syndrome Wernicke’s aphasia condition characterized

by poor language comprehension and impaired ability to remember the name of objects, 436, 436

Wernicke’s area portion of the brain located near the auditory cortex, associated with language comprehension, 435, 436

White matter area of the nervous system consisting of myelinated axons, 71, 71

Williams syndrome condition in which the person has relatively good language abilities in spite of impairments in other regards, 432–433, 433

Withdrawal effects of drug cessation, 464–465

Wolffian ducts precursors to male internal structures, 332, 332

08202_subjectindex_ptg01.indd 605 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

606 SUBJECT INDEX

Women aggressive behaviors, 363–364 brain size compared to men, 416–417 characteristics sought in mates, 338 and congenital adrenal hyperplasia

(CAH), 328, 339–340, 339 discrepancies of sexual appearance,

341–342 effects of sex hormones on nonsexual

characteristics, 331 gender assignment and rearing, 340–341 genitals, 324–325, 324 intelligence and, 417

interest in multiple mates, 337–338 and jealousy, 338 parental behavior, 332–333 and pheromones, 220 and schizophrenia, 481 sex hormones, 329–331 sexual activities, female-initiated, 330–

331, 331 Working memory storage of memory while

one is working with it, 389, 395, 481

X chromosome, 104, 323

Yawning, 231 Y chromosome, 104, 323 Young-Helmholtz theory. See

Trichromatic theory

Zeitgeber stimulus that resets the circadian rhythm, 259, 260

08202_subjectindex_ptg01.indd 606 9/15/17 7:32 PM

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. WCN 02-200-203

  • Cover
  • About the Author
  • Brief Contents
  • Contents
  • Preface
  • Acknowledgments
  • Introduction: Overview and Major Issues
  • Chapter 1: Nerve Cells and Nerve Impulses
    • Module 1.1: The Cells of the Nervous System
    • Module 1.2 The Nerve Impulse
  • Chapter 2: Synapses
    • Module 2.1: The Concept of the Synapse
    • Module 2.2: Chemical Events at the Synapse
  • Chapter 3: Anatomy and Research Methods
    • Module 3.1: Structure of the Vertebrate Nervous System
    • Module 3.2: The Cerebral Cortex
    • Module 3.3: Research Methods
  • Chapter 4: Genetics, Evolution, Development, and Plasticity
    • Module 4.1: Genetics and Evolution of Behavior
    • Module 4.2: Development of the Brain
    • Module 4.3: Plasticity after Brain Damage
  • Chapter 5: Vision
    • Module 5.1: Visual Coding
    • Module 5.2: How the Brain Processes Visual Information
    • Module 5.3: Parallel Processing in the Visual Cortex
  • Chapter 6: Other Sensory Systems
    • Module 6.1: Audition
    • Module 6.2: The Mechanical Senses
    • Module 6.3: The Chemical Senses
  • Chapter 7: Movement
    • Module 7.1: The Control of Movement
    • Module 7.2: Brain Mechanisms of Movement
    • Module 7.3: Movement Disorders
  • Chapter 8: Wakefulness and Sleep
    • Module 8.1: Rhythms of Waking and Sleeping
    • Module 8.2: Stages of Sleep and Brain Mechanisms
    • Module 8.3: Why Sleep? Why REM? Why Dreams?
  • Chapter 9: Internal Regulation
    • Module 9.1: Temperature Regulation
    • Module 9.2: Thirst
    • Module 9.3: Hunger
  • Chapter 10: Reproductive Behaviors
    • Module 10.1: Sex and Hormones
    • Module 10.2: Variations in Sexual Behavior
  • Chapter 11: Emotional Behaviors
    • Module 11.1: What Is Emotion?
    • Module 11.2: Attack and Escape Behaviors
    • Module 11.3: Stress and Health
  • Chapter 12: Learning, Memory, and Intelligence
    • Module 12.1: Learning, Memory, and Memory Loss
    • Module 12.2: The Hippocampus and the Striatum
    • Module 12.3: Storing Information in the Nervous System
    • Module 12.4: Intelligence
  • Chapter 13: Cognitive Functions
    • Module 13.1: Lateralization and Language
    • Module 13.2: Conscious and Unconscious Processes
    • Module 13.3: Making Decisions and Social Neuroscience
  • Chapter 14: Psychological Disorders
    • Module 14.1: Substance Abuse
    • Module 14.2: Mood Disorders
    • Module 14.3: Schizophrenia
    • Module 14.4: Autism Spectrum Disorders
  • Appendix A: Brief, Basic Chemistry
  • Appendix B: Society for Neuroscience Policies on the Use of Animals and Human Subjects in Research
  • References
  • Name Index
  • Subject Index/Glossary
    1. 2018-02-10T03:01:07+0000
    2. Preflight Ticket Signature