Module 1
Intro to Social Neuroscience
A. The Emergence of Social Neuroscience
Imagine two participants lying in different rooms, each with their heads placed in
a very large magnetic field. Crucially, the two participants are interacting with each other
in order to win money and this interaction requires trust. By trusting money to the other
person they stand a greater chance of getting more money returned to them in the future,
but they also run the risk of exploitation. As their brains engage in the decision to trust or
not to trust, there are subtle changes in blood flow corresponding to these different
decisions that can be detected. The fact that different patterns of thought should result in
different patterns of brain activity is perhaps not surprising. The fact that we now have
methods that can attempt to measure this is certainly noteworthy. What is most
interesting about studies such as these is the fact that activity in regions of one person’s
brain can reliably elicit activity in other regions of another person’s brain during this
social interaction.
The concept of a 'mega-brain' to describe social interactions between different
individuals encapsulates the idea that social dynamics involve a complex interplay where
different brains interact and influence each other in a mutually responsive manner. This
metaphorical framework highlights the interconnectedness and reciprocal nature of social
interactions, akin to how different regions within a single brain communicate and
modulate each other's activity. In social neuroscience and related disciplines, researchers
investigate how individuals engage in social interactions that go beyond mere parallel
processing of information. Instead, social interactions involve synchronized neural
activities across individuals, where perceptions, emotions, and behaviors are exchanged
and reciprocally shaped.
One key aspect of the 'mega-brain' analogy is mutual influence. Just as neural
regions within a single brain interact to perform cognitive tasks, individuals engaged in
social interactions influence each other's thoughts, emotions, and behaviors through
various channels such as verbal communication, non-verbal cues, and shared experiences.
This mutual influence can lead to synchronization of neural processes across brains,
fostering shared mental states and collaborative behaviors. Moreover, the 'mega-brain'
concept underscores the dynamic nature of social cognition, where individuals
continuously adjust their behavior in response to social cues and feedback from others.
This adaptive process mirrors the plasticity and flexibility observed within neural
networks, where synaptic connections strengthen or weaken based on experience and
interaction.
From a neuroscientific perspective, advances in techniques such as hyperscanning
—simultaneous recording of brain activity from multiple individuals—have provided
empirical support for the 'mega-brain' hypothesis. These studies reveal how neural
synchronization occurs between interacting individuals during tasks requiring
cooperation, communication, or empathy, further substantiating the interconnected nature
of social cognition. In essence, viewing social interactions through the lens of a 'mega-
brain' emphasizes the collective nature of human behavior and cognition. It underscores
the idea that social dynamics emerge not only from individual cognitive processes but
also from the complex interplay and mutual influence between multiple brains engaged in
social contexts. This perspective enriches our understanding of how social interactions
shape our perceptions, decisions, and relationships, highlighting the intricate neural
mechanisms underlying human social behavior.
The phenomenon described is a fundamental aspect of social cognition, which
distinguishes it from other forms of neural activity within an individual brain. Unlike the
physical flow of neural activity within a single brain's regions, social cognition revolves
around our capacity to perceive, interpret, and respond to the social behaviors of others.
At its core, social cognition encompasses a set of cognitive processes that enable us to
make sense of the social world. These processes include perception, which involves
recognizing and encoding social cues such as facial expressions, body language, and
vocal tones. Interpretation follows, where we assign meaning to these cues based on our
knowledge, beliefs, and past experiences. Finally, action involves responding
appropriately to social cues, whether through verbal communication, facial expressions,
or gestures. Importantly, these cognitive processes occur not within a single brain but
across individuals interacting within social contexts. The essence of social cognition lies
in how individuals synchronize their mental states through mutual understanding and
communication. This synchronization allows for shared experiences, empathetic
responses, and cooperative behaviors, which are crucial for social cohesion and
interpersonal relationships.
While the physical flow of neural activity within an individual's brain supports
these cognitive processes, the uniqueness of social cognition lies in its interpersonal
nature. It transcends the boundaries of individual brains to encompass shared experiences
and interactions among people. This distinction underscores the complexity of studying
social cognition, as it requires integrating insights from psychology, neuroscience,
sociology, and anthropology to fully grasp how individuals navigate and contribute to
social dynamics. In summary, social cognition is distinguished by our ability to perceive,
interpret, and act upon the social behavior of others, emphasizing the interpersonal nature
of cognitive processes in social contexts. This perspective enriches our understanding of
human social behavior and highlights the intricate interplay between individual cognition
and collective social dynamics.
Allport (1968) defined social psychology as ‘an attempt to understand and explain
how the thoughts, feelings, and behaviors of individuals are influenced by the actual,
imagined, or implied presence of others’. Whilst this may be perfectly true, most
researchers working within the field of social neuroscience do not have backgrounds
within social psychology but tend to be drawn from the fields of cognitive psychology
and neuroscience. Indeed social neuroscience has also gone by the name ‘social cognitive
neuroscience’ (the term is less commonly used now). Cognitive psychology is the study
of mental processes such as thinking, perceiving, speaking, acting, and planning. It tends
to dissect these processes into different sub-mechanisms and explain complex behavior in
terms of their interaction.
Cognitive psychology plays a pivotal role in social neuroscience by providing a
structured framework to dissect and understand the underlying mechanisms of complex
social behaviors. At its core, cognitive psychology seeks to unravel how individuals
perceive, process, and respond to information—a foundation that proves essential for
investigating social cognition through neuroscientific methods. One of the primary
contributions of cognitive psychology to social neuroscience lies in its ability to
decompose intricate social behaviors into simpler cognitive processes that can be studied
empirically. For example, cognitive psychology examines how attention, memory,
decision-making, and emotion regulation operate within individual minds during social
interactions. These cognitive processes serve as building blocks that underpin more
complex social behaviors such as empathy, social decision-making, and interpersonal
communication.
By delineating these cognitive processes, cognitive psychology provides clear
targets for investigation using neuroscientific methodologies. Techniques such as
functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and
transcranial magnetic stimulation (TMS) allow researchers to probe neural activity and
connectivity associated with specific cognitive operations during social tasks. This
integration enables researchers to uncover the neural substrates and mechanisms that
support various aspects of social cognition. Moreover, cognitive psychology's emphasis
on experimental rigor and hypothesis testing enhances the methodological approach
within social neuroscience. Researchers can design controlled experiments that
manipulate cognitive variables (e.g., attentional focus, cognitive biases) and measure
corresponding changes in brain activity, providing causal insights into the neural
underpinnings of social behaviors.
Furthermore, cognitive models derived from psychological research provide
theoretical frameworks that guide neuroscientific investigations. These models propose
mechanisms and pathways through which cognitive processes interact with neural
systems to produce observable social behaviors. By validating and refining these models
through empirical neuroscientific data, researchers can refine our understanding of how
the brain supports social cognition. In essence, cognitive psychology serves as a crucial
bridge between psychological theories of cognition and neuroscientific investigations of
the brain, facilitating a deeper understanding of how individual mental processes
contribute to complex social behaviors. This interdisciplinary approach not only advances
theoretical knowledge but also informs practical applications in fields such as clinical
psychology, education, and social policy. By integrating cognitive and neural
perspectives, social neuroscience continues to illuminate the intricate interplay between
the mind and brain in shaping human social experiences.
Social neuroscience represents a dynamic field that bridges multiple disciplines,
seamlessly integrating cognitive psychology, social psychology, and neuroscience. At its
core, social neuroscience seeks to unravel the intricate connections between the mind—
explored through psychological processes—and the brain's biological underpinnings. By
linking cognitive and social psychology, social neuroscience aims to understand how
social behaviors, emotions, and cognition manifest at both the psychological and neural
levels. For instance, researchers investigate how cognitive processes such as attention,
memory, and decision-making influence social interactions and social judgments.
Concurrently, they examine how social contexts and interpersonal relationships modulate
brain activity and neural circuits involved in these cognitive processes.
Moreover, social neuroscience advances our understanding of the 'mind' by
elucidating its neural substrates and mechanisms. Through sophisticated neuroimaging
techniques like fMRI, EEG, and PET scans, researchers can observe and map brain
regions activated during social tasks and interactions. This approach not only provides
insights into how specific brain areas contribute to social cognition but also uncovers the
neural correlates of social behaviors such as empathy, trust, cooperation, and persuasion.
Furthermore, social neuroscience fosters interdisciplinary collaboration by drawing upon
insights from biology, genetics, anthropology, and computational science. These
collaborations enrich our understanding of how genetic predispositions, cultural
influences, and environmental factors interact with neural processes to shape social
behavior and cognition.
By integrating across these diverse disciplines, social neuroscience transcends
traditional boundaries within psychology and neuroscience. It offers a holistic framework
for studying the complex interplay between psychological phenomena and neural
mechanisms, moving towards a comprehensive understanding of human social behavior
from both a psychological and biological perspective. In summary, social neuroscience
serves as a unifying force that links cognitive and social psychology with neuroscience,
providing a multidimensional approach to studying the 'mind' in relation to the brain.
This integrative perspective not only enhances our theoretical understanding of human
behavior but also holds promise for addressing real-world challenges in mental health,
education, and social policy.
Indeed, the divisions between different research programs within psychology,
such as cognitive psychology, social psychology, and others, are largely artificial
constructs. These divisions are created for the sake of organization and categorization,
making it easier to study and teach complex topics within the field. In academia, these
divisions are often reinforced through the structure of courses, textbooks, and research
funding categories. For example, undergraduate and graduate courses typically follow
these divisions to provide a structured curriculum that covers the breadth and depth of
psychological research. Textbooks are organized into chapters that correspond to these
divisions, facilitating learning and understanding for students and researchers alike.
However, it's important to recognize that these divisions can be somewhat arbitrary and
do not always accurately reflect the interconnected nature of psychological processes.
Human behavior and cognition are highly integrated and influenced by a multitude of
factors, including social, cognitive, biological, and environmental aspects. In reality,
psychological phenomena often involve complex interactions between these different
domains rather than fitting neatly into discrete categories.
Moreover, as research advances and interdisciplinary approaches become more
prevalent, the boundaries between traditional divisions within psychology are becoming
increasingly blurred. Contemporary research often draws upon insights and
methodologies from multiple subfields to tackle complex questions and problems that
transcend disciplinary boundaries. Therefore, while divisions within psychology serve
practical purposes for teaching and research organization, they should not constrain our
understanding or limit the potential for interdisciplinary collaboration and innovation.
Recognizing the interconnectedness of psychological phenomena and embracing
interdisciplinary perspectives can lead to richer insights and advancements in our
understanding of human behavior and cognition.
The term social neuroscience can be traced to an article by Cacioppo and
Berntson (1992) entitled ‘Social psychological contributions to the decade of the brain:
Doctrine of multi-level analysis’. The term appears twice: once in a footnote, and once in
a heading accompanied by a question mark – i.e. ‘Social Neuroscience?’. Their particular
interest in the topic stemmed from research showing that psychological processes such as
perceived social support can affect immune functioning. However, many other areas of
study that now fall under the social neuroscience umbrella were already active areas of
study prior to 1992. In cognitive psychology, there was a mature literature on face
perception. However, this literature was primarily concerned with understanding faces as
a type of visual object rather than treating faces as cues to social interactions. There were
also detailed accounts of how social behavior breaks down as a result of acquired brain
damage (Damasio, Tranel, & Damasio, 1990; Eslinger & Damasio, 1985) or in
developmental conditions such as autism (e.g. Frith, 1989). In behavioral neuroscience,
there was a longstanding interest in emotional processes such as fear (e.g. LeDoux, Iwata,
Cicchetti, & Reis, 1988), aggression (e.g. Siegel, Roeling, Gregg, & Kruk, 1999), and
separation distress.
In the realm of social psychology, the emergence of 'social cognition' represented
a pivotal integration of cognitive psychology's approach and methodologies into the study
of social phenomena. Rooted in the principles of cognitive psychology, which
traditionally focused on understanding mental processes like memory, attention, and
decision-making, social cognition extended these frameworks to explore how individuals
perceive, interpret, and respond to social information and interactions. Central to the
application of cognitive psychology within social cognition was the adoption of rigorous
methodologies such as response time measurements. Originally developed to assess the
speed and efficiency of cognitive processes in controlled laboratory settings, response
time measurements were adapted to investigate how quickly individuals processed and
evaluated social stimuli. This approach provided quantifiable data on the cognitive
mechanisms underlying social judgments, stereotypes, attitudes, and interpersonal
behaviors. Moreover, the introduction of experimental paradigms from cognitive
psychology into social cognition research facilitated the exploration of complex social
phenomena in a systematic and empirical manner. Tasks such as priming experiments,
implicit association tests (IATs), and reaction time tasks were utilized to uncover implicit
biases, cognitive heuristics, and decision-making processes that influence social
judgments and behaviors.
By applying cognitive psychology's methodologies, social cognition researchers
aimed to elucidate the cognitive processes that underlie social behaviors, moving beyond
descriptive approaches to offer mechanistic insights into how individuals navigate social
environments. This interdisciplinary approach not only enriched the theoretical
foundations of social psychology but also enhanced the field's methodological rigor and
empirical validity. In essence, the integration of cognitive psychology's methods,
including response time measurements, into social psychology through the lens of social
cognition exemplifies a synergistic merging of disciplines. This fusion has enabled
researchers to explore the intricate interplay between cognitive processes and social
contexts, advancing our understanding of how individuals perceive, interpret, and
respond to the complexities of social interactions.
The 1990s marked a significant period of refinement and application for newly
established methods in cognitive neuroscience, notably functional magnetic resonance
imaging (fMRI) and transcranial magnetic stimulation (TMS). These cutting-edge
techniques were not only directed towards investigating traditional domains within
cognitive psychology but also began to illuminate the intricate processes underlying
social cognition and behavior. Functional magnetic resonance imaging (fMRI) emerged
as a revolutionary tool during this time, allowing researchers to non-invasively observe
changes in blood flow and oxygenation levels in the brain as subjects engaged in various
cognitive tasks. By mapping brain activity with spatial and temporal precision, fMRI
enabled researchers to explore how different regions of the brain contribute to social
processes such as empathy, theory of mind, and decision-making. This capability
transformed our understanding of the neural substrates involved in complex social
behaviors.
Simultaneously, transcranial magnetic stimulation (TMS) gained prominence as a
technique capable of temporarily modulating neural activity in targeted brain regions.
Originally developed for clinical purposes, TMS was adapted by cognitive
neuroscientists to probe causal relationships between specific brain areas and social
cognitive functions. Through precise stimulation of cortical regions, researchers could
investigate how disruptions in neural circuits influenced social perception, emotional
processing, and interpersonal interactions. The integration of fMRI and TMS into the
study of social processes represented a paradigm shift in cognitive neuroscience. These
methodologies offered complementary insights: fMRI provided detailed neural maps of
social cognition, while TMS allowed researchers to manipulate brain activity and
establish causal relationships between brain regions and social behaviors.
Furthermore, the application of these advanced techniques to social cognition
expanded interdisciplinary collaborations, bridging gaps between cognitive psychology,
neuroscience, sociology, and anthropology. Researchers began to explore how cultural
factors, individual differences, and developmental trajectories influence neural
mechanisms underlying social behaviors, thereby enriching our understanding of the
human social experience. In summary, the 1990s witnessed the maturation and
widespread adoption of fMRI and TMS, which not only revolutionized cognitive
neuroscience but also paved the way for groundbreaking discoveries in social cognition.
These methods continue to evolve, driving ongoing research efforts to unravel the
complexities of human social behavior and its neural underpinnings in ever greater detail.
What should we make of criticism such as this? Willingham and Dunn (2003) are
correct to point out that it is important not to shift the whole social psychology research
agenda to fit with trendy neuroscience methods. To a large extent, the shift has to come
from the development of neuroscientific techniques that can tackle the questions that
matter. However, their characterization of social neuroscience in terms of localization of
functions is inaccurate (or, at least, outdated). Social neuroscience should be concerned
primarily with the underlying mechanisms, and these are unlikely to be localized to
discrete brain regions. Stanley and Adolphs (2013) also report a number of surveys
conducted on Social Neuroscience researchers attending international conferences. Figure
1.3 shows a summary of a survey asking researchers what they presently work on, what is
presently lacking in the field, and what the future of social neuroscience will consist of.
Current researchers in social neuroscience are increasingly focusing on
fundamental topics such as emotion, self-regulation, and decision-making. However, they
acknowledge that the discipline as a whole requires a substantial enhancement in
statistical and methodological rigor to ensure robustness and reproducibility of findings.
Statistical rigor is crucial for accurately interpreting complex data sets and drawing
meaningful conclusions about the neural mechanisms underlying social behavior.
Researchers advocate for the adoption of advanced statistical techniques that can handle
the multidimensional nature of neuroimaging data and account for individual differences
in brain responses to social stimuli.
Methodological rigor is equally important, encompassing the design of
experiments and the implementation of neuroscientific protocols. There is a growing
emphasis on developing standardized procedures that minimize biases and ensure
reliability across studies. This includes rigorous control of variables, adequate sample
sizes, and transparent reporting of methods and results. Moreover, there is a recognized
need for social neuroscience research to be more ecologically valid, meaning that
experiments should closely mirror real-life social interactions and contexts. This shift
aims to capture the complexities and nuances of social behaviors that may be lost in
highly controlled laboratory settings. By incorporating naturalistic stimuli and
environments, researchers can more accurately observe and understand how the brain
functions in everyday social situations.
Interdisciplinary integration is another critical aspect identified by researchers.
Social neuroscience inherently draws from psychology, neuroscience, sociology,
anthropology, and computational science. Greater collaboration across these disciplines is
essential for synthesizing diverse perspectives and methodologies, thereby enriching the
depth and breadth of research outcomes. Overall, enhancing statistical and
methodological rigor, achieving ecological validity, and fostering interdisciplinary
integration are seen as pivotal steps in advancing the field of social neuroscience. These
efforts not only strengthen the scientific foundation of the discipline but also hold the
potential to yield more insightful and impactful discoveries about the neural
underpinnings of human social behavior.
The future of social neuroscience holds immense promise, poised at the
intersection of practical applications and advanced computational methodologies applied
to brain networks. In the realm of real-world applications, social neuroscience aims to
revolutionize fields such as psychology, education, and healthcare. By unraveling the
intricacies of how the brain processes social interactions, emotions, and behaviors,
researchers envision breakthroughs in therapies for mental health disorders, interventions
for social skills development, and strategies for enhancing interpersonal communication.
Moreover, the integration of computational approaches adds a new dimension of
sophistication to the study of brain networks. Through sophisticated algorithms and
modeling techniques, scientists can simulate and analyze complex neural processes
underlying social cognition and behavior. These computational tools not only enhance
our understanding of the brain's social mechanisms but also enable predictions and
interventions that were previously unimaginable.
Furthermore, advancements in technology, such as functional neuroimaging and
neuroinformatics, provide unprecedented opportunities to map and manipulate neural
circuits involved in social behavior. This multi-disciplinary approach, combining
neuroscience, computer science, and psychology, promises to unveil the neural
underpinnings of empathy, cooperation, decision-making, and social influence with
unprecedented clarity and depth. In essence, the future landscape of social neuroscience
is characterized by a dual trajectory: practical applications that promise tangible benefits
to society and an enhanced scientific rigor driven by computational innovations. As these
two dimensions converge, the field is set to make profound contributions not only to our
understanding of the human brain but also to improving the way we interact, learn, and
heal as social beings.
B. The Social Brain
One overarching issue within social neuroscience is the extent to which the so-
called ‘social brain’ can be considered distinct from all the other functions that the brain
carries out – talking, walking, planning, etc. In other words, is the ‘social brain’ special in
any way? This will be a recurring theme in the book, although Chapter 3 considers it in
detail from an evolutionary perspective. One possibility is that there are particular neural
substrates in the brain that are involved in social cognition but not in other types of
cognitive processing. This relates to the notions of modularity and domain specificity. A
module is the term given to a computational routine that responds to particular inputs and
performs a particular computation on them, that is, a routine that is highly specialized in
terms of what it does to what (Fodor, 1983). One core property that has been attributed to
modules is domain specificity, namely that the module processes only one kind of input
(e.g. only faces, only emotions).
The contemporary claim of a specialized module in the brain that responds
specifically to the sight of faces, but not to other stimuli such as bodies or voices,
represents a significant area of study within the field of social neuroscience and cognitive
psychology. This hypothesis suggests that the human brain has evolved specialized neural
mechanisms dedicated to processing facial information due to its critical importance in
social interactions and communication. Research supporting this claim often focuses on
the distinctive nature of facial processing compared to other visual stimuli. Studies using
techniques like functional magnetic resonance imaging (fMRI) have identified regions
within the brain's temporal lobes, such as the fusiform face area (FFA), that show
selective activation when individuals view faces. The FFA, in particular, is consistently
implicated in face perception tasks, suggesting a specialized role in processing facial
features, expressions, and identity. Moreover, behavioral studies have demonstrated that
humans exhibit remarkable sensitivity and efficiency in recognizing faces compared to
other objects or stimuli. This perceptual advantage for faces is evident from infancy and
is believed to be influenced by both innate factors and experience with faces throughout
development.
Critics of the face-specific module hypothesis raise several considerations. They
argue that while there is clear evidence for specialized neural responses to faces, these
responses may not be entirely exclusive to faces alone. For example, studies have also
identified brain regions, such as the superior temporal sulcus (STS), involved in
processing information from both faces and voices, suggesting some degree of overlap in
neural processing for social stimuli. Furthermore, the modular view of face processing
has been challenged by theories emphasizing distributed networks and interactive
processing across multiple brain regions. These theories propose that face perception
involves dynamic interactions between specialized areas (like the FFA) and other brain
regions involved in attention, emotion processing, and memory.
Nevertheless, the idea of a specialized module for face perception continues to be
influential in understanding how the human brain processes social information. It
underscores the importance of faces in social communication, emotional expression, and
interpersonal relationships. Advances in neuroimaging and experimental techniques
continue to refine our understanding of the neural mechanisms underlying face
perception and its implications for human behavior. In summary, while the claim of a
dedicated module for responding to faces remains a topic of debate, it highlights the
complexity and specificity of facial processing in the human brain. Future research will
continue to explore the extent to which face-specific mechanisms exist and how they
interact with broader cognitive processes involved in social perception and interaction.
The claim of a specialized module in the brain for reasoning about mental states,
such as desires, beliefs, and knowledge, represents a key tenet of the theory of mind
hypothesis in cognitive psychology and social neuroscience. According to this
perspective, humans possess a cognitive mechanism or set of mechanisms dedicated
specifically to understanding and predicting the mental states of others. This theory
suggests that from an early age, individuals develop the ability to attribute mental states
to themselves and to others, known as having a theory of mind. This includes recognizing
that others have beliefs, desires, intentions, and knowledge that may differ from one's
own. This capacity is considered crucial for navigating complex social interactions,
predicting behavior, and forming social bonds. Proponents of the theory argue that the
ability to reason about mental states is distinct from other forms of reasoning, such as
logical reasoning or problem-solving. They propose that while general cognitive
processes may contribute to theory of mind abilities, there is evidence suggesting that
specific brain regions and neural networks are selectively involved in processing mental
state information.
For example, functional neuroimaging studies have identified brain areas, such as
the medial prefrontal cortex, temporoparietal junction, and superior temporal sulcus, that
are consistently activated during tasks requiring participants to infer others' beliefs,
intentions, or emotions. These findings suggest a neural basis for theory of mind
processing, supporting the idea of specialized modules or networks within the brain
dedicated to social cognition. Critics of the theory of mind hypothesis raise several
concerns. They argue that attributing mental states to others may not be entirely distinct
from other cognitive processes, such as empathetic understanding, perspective-taking, or
general reasoning abilities. Furthermore, they highlight the variability in theory of mind
development across individuals and cultures, suggesting that social cognition may be
influenced by a combination of innate predispositions and environmental factors.
Nevertheless, the theory of mind hypothesis continues to be influential in guiding
research on social cognition and interpersonal understanding. It provides a framework for
investigating how humans perceive and interpret mental states, how these abilities
develop across the lifespan, and how they may be impaired in conditions such as autism
spectrum disorders. In summary, the claim of a specialized module for reasoning about
mental states reflects a prominent theory in cognitive psychology and social
neuroscience. While it has generated significant empirical support and theoretical insight,
ongoing research is needed to fully elucidate the neural mechanisms and cognitive
processes involved in theory of mind and their implications for social behavior and
interaction.
The claim that there is a specialized module in the brain dedicated to detecting
cheating, as proposed by Cosmides (1989) and others in the evolutionary psychology
framework, reflects a modular view of the social brain. According to this perspective,
certain cognitive mechanisms have evolved as specialized modules to solve specific
adaptive problems that were recurrent in our ancestral environments. In the case of
detecting cheating, the argument goes that throughout human evolution, individuals faced
frequent challenges related to social exchange, cooperation, and trust. The ability to
detect when others were cheating or behaving dishonestly would have conferred
evolutionary advantages, such as avoiding exploitation and maintaining cooperative
relationships. Therefore, it is proposed that the human brain contains a specific cognitive
module—or a set of interconnected neural circuits—that evolved to process information
related to detecting cheating behaviors.
This modular view of the social brain suggests that these specialized cognitive
mechanisms operate independently from general cognitive functions and may have
specific neural substrates. Proponents argue that such modules are adaptive because they
allow for efficient and rapid processing of socially relevant information, enhancing
survival and reproductive success. Critics of the modular view caution against overly
simplistic interpretations of complex cognitive processes. They argue that while
evolutionary pressures may have shaped cognitive abilities related to social interactions,
the modular framework risks overlooking the dynamic and context-dependent nature of
human behavior. Furthermore, empirical evidence for specific modules dedicated solely
to social functions remains a topic of debate within the scientific community, as it
requires rigorous testing and validation through neuroscientific and behavioral studies.
Nevertheless, proponents argue that the modular view offers a valuable heuristic
for generating hypotheses and guiding research into the neural and psychological
mechanisms underlying social cognition. By focusing on specific adaptive challenges
such as detecting cheating, researchers can investigate how these cognitive processes are
instantiated in the brain and how they interact with other cognitive functions. In
summary, the claim of a module for detecting cheating within the social brain reflects a
modular view of evolutionarily specialized cognitive mechanisms. While this perspective
has generated significant interest and debate, ongoing research is necessary to elucidate
the extent to which specific neural modules exist and contribute to social cognition within
the broader context of human behavior and evolution.
The claim that mechanisms of social cognition evolved to address specific
challenges in the social environment—such as recognizing others or detecting
exploitation—can indeed draw parallels to historical ideas like phrenology. Phrenology,
popular in the 19th century, posited that personality traits and mental faculties could be
inferred from the shape and size of bumps on the skull. While modern social
neuroscience and evolutionary psychology differ significantly in their scientific rigor and
methodologies, critics point out potential similarities in terms of oversimplification and
reductionism.
Evolutionary psychology proposes that many human psychological traits and
behaviors have evolved over millennia to solve adaptive problems faced by our ancestors.
This perspective suggests that cognitive mechanisms, including those involved in social
cognition, have been shaped by natural selection to enhance survival and reproductive
success in social environments. For example, the ability to recognize faces quickly and
accurately is seen as an adaptation to facilitate social bonding and cooperation. Critics
argue that attributing specific cognitive functions solely to evolutionary adaptation
oversimplifies the complexity of human behavior and cognition. It can lead to
deterministic views that ignore individual variability, cultural influences, and the
dynamic nature of social interactions. Furthermore, the analogy to phrenology is raised
because both approaches risk making unfalsifiable claims about mental functions based
on evolutionary arguments or anatomical features.
However, proponents of evolutionary psychology and social neuroscience argue
that these perspectives provide valuable insights into understanding the origins and
mechanisms of social behaviors. They emphasize that rigorous empirical research,
including cross-cultural studies and experiments, is crucial for testing hypotheses derived
from evolutionary theory. In summary, while the evolutionary perspective on social
cognition offers a framework for understanding how cognitive mechanisms may have
evolved in response to social challenges, critics caution against oversimplification and the
potential for deterministic thinking. Engaging in rigorous empirical research and
considering multiple perspectives is essential for advancing our understanding of the
complex interplay between evolutionary processes, brain function, and social behavior.
The alternative, diametrically opposite, approach is to argue that the ‘social brain’
is not, in fact, specialized uniquely for social behavior but is also involved in non-social
aspects of cognition (e.g. reasoning, visual perception, threat detection). The evolution of
general neural and cognitive mechanisms that increase intellect, such as having bigger
brains, may make us socially smarter too (e.g. Gould, 1991). Of course, it is also possible
that the reverse is true – namely that the evolutionary need to be socially smarter leads to
general cognitive advances in other domains (e.g. Humphrey, 1976). Under these
accounts social cognition and non-social cognition evolved hand-in-hand (albeit with one
factor driving the other) but, crucially, they did not necessarily lead to highly specialized
routines in the brain for dealing with social problems.
Needless to say, there are other positions that lie in-between these two extremes.
Mitchell (2009) notes that there are certain regions of the brain (e.g. the medial prefrontal
cortex) that are activated in fMRI studies by a wide range of social phenomena such as
evaluating attitudes, interpreting other’s behavior, and emotional experience. Rather than
arguing for a narrowly defined module in this region, he suggests that social psychology
is a ‘natural kind’ that distinguishes itself from other aspects of cognition because it
relates to concepts that are less stable and less definite than those involved in, say,
perception and action. In this account, the ‘social brain’ is special because of the nature
of the information that is processed (more fuzzy) rather than because it is social (i.e.
interpersonal) per se.
Another possibility is that it is not particular regions of the social brain that are
‘special’ but rather that there are particular kinds of neural mechanisms especially suited
to social processes. For example, Frith (2007) claims: ‘I have speculated about the role of
various components of the social brain, but in most cases, I believe that these processes
are not specifically social. The exception is the brain’s mirror system.’ Similarly,
Ramachandran (2000) predicts that ‘mirror neurons will do for psychology what DNA
did for biology: they will provide a unifying framework and help explain a host of mental
abilities that have hitherto remained mysterious and inaccessible to experiments.’ Mirror
neurons respond both when an animal sees an action performed by someone else and
when they perform the same action themselves (e.g. Rizzolatti & Craighero, 2004). The
key insight, with regard to social neuroscience, is that there may be a simple mechanism
– implemented at the level of single neurons – that enables a correspondence between self
and other. Mirror neurons have been implicated in imitation (see Chapter 3), empathy,
and ‘mind reading’ (see Chapter 6). Although they were originally discovered for actions,
it is possible that mirroring is a general property of many neurons (e.g. those processing
pain, emotion, etc.) and they may not be tightly localized to one region (Mukamel,
Ekstrom, Kaplan, Iacoboni, & Fried, 2010). Whereas some researchers have argued that
mirror neurons serve a specifically social function (Frith, 2007) others have suggested
that they arise primarily out of associative learning between action and perception in both
social and non-social contexts such as observing one’s own actions.
The second scenario postulates networks of regions in which each region in the
network has a high degree of specialization (e.g. specific to social information), whereas
in the third scenario (the one endorsed by these authors) neither brain regions nor
individual brain networks are functionally specialized or segregated into social and non-
social functions. Of course, it would also be possible to imagine hybrid scenarios that
have elements of each (Fedorenko, Duncan, & Kanwisher, 2013). Adjudicating between
these different scenarios will require linking evidence from a wide range of techniques.
For instance, whilst evidence from functional imaging, reviewed by Barrett and Satpute
(2013), often points to the existence of very generic networks, other evidence (e.g. from
brain lesions, or using brain stimulation) has tended to reveal more specificity within the
networks. In summary, there is a variety of views concerning the broad nature of the
neural mechanisms that support human social behavior. At one end, there is the view that
there are highly specialized neural mechanisms. These may be very limited in the type of
information they process (e.g. faces, beliefs). At the other end, there is the view that the
mechanisms that support social behavior are used for many other functions (possibly
including non-social cognition). Whereas the highly specialized viewpoint tends to have
been linked to the idea of a small number of contributing brain regions (localizability), it
is not incompatible with the idea of brain networks.
C. Neuroscience as an Appropriate Level of Explanation for Studying Social Behavior
Perhaps the most general criticism that could be leveled at social neuroscience is
that the brain is not the most appropriate level of explanation for understanding social
processes. Surely social processes need to be studied and understood at the social level –
that is, at the level of interactions between people, groups of people, and societies. There
have been some fascinating studies on neural responses to Black faces by White
American students, but what could we ever really learn about racism from brain-based
measures without situating them in a social, economic, and historical context? Of course,
this presents a distorted view of what social neuroscience is really all about. Most
researchers in the field do not take a strongly reductionist approach. Reductionism
implies that one type of explanation will become replaced with another, more basic, type
of explanation over time. In a reductionist framework the language of social psychology
(e.g. attitudes, relationships, conformity) will be replaced by the concepts of neuroscience
(e.g. oxytocin, plasticity, medial prefrontal cortex). However, most researchers in social
neuroscience are attempting to create bridges between different levels of explanation
rather than replace one kind of explanation with another – see Figure 1.6. For example,
social neuroscience studies may combine questionnaire measures (the bread-and-butter of
social psychology research) with neuroscience data.
Another definitely common way in which neuroscience data literally basically are
used to bridge levels of explanation generally particularly has been basically termed the
reverse inference approach (Poldrack, 2006), which literally is quite significant, very
contrary to popular belief. The reverse inference approach kind of is an attempt to infer
the nature of cognitive processes from neuroscience (notably neuroimaging) data in a
subtle way, or so they basically thought. Examples of this kind of abound in the actually
kind of social neuroscience literature, or so they essentially particularly thought in a
subtle way. For example, activity within the amygdala may essentially basically be taken
to actually imply the involvement of a fear-related (or pretty definitely much more
broadly emotion-related) mechanism in studies of race processing (Phelps et al., 2000),
which essentially for all intents and purposes is quite significant. The nature of various
really kind of moral dilemmas particularly has been kind of literally inferred on the basis
of whether the dilemmas kind of particularly activate regions of the brain implicated in
emotion or in pretty much higher order reasoning (Greene, Sommerville, Nystrom,
Darley, & Cohen, 2001), or so they thought, or so they literally thought.
If the hippocampus generally is activated, then particularly for all intents and
purposes long-term memory literally kind of is involved; if the right particularly fairly
temporo-parietal junction mostly actually is activated, then ‘theory of mind’ essentially
for the most part is involved; etc in a fairly big way, demonstrating that for example,
activity within the amygdala may essentially be taken to actually specifically imply the
involvement of a fear-related (or pretty for all intents and purposes much fairly more
broadly emotion-related) mechanism in studies of race processing (Phelps et al., 2000),
which essentially really is quite significant, or so they actually thought. Is particularly
reverse inference necessarily basically actually good practice, or so they really thought,
or so they for the most part thought. It goes without saying that the reliability of this
inference depends on what is known about the functions of given regions in a subtle way,
for all intents and purposes contrary to popular belief. If these regions really mostly
turned out to actually really have very different functions then the inference would for all
intents and purposes be flawed, which really specifically is quite significant in a actually
big way. Also the function of regions specifically is not resolutely fixed but depends on
the context in which they really specifically are employed in a particularly basically big
way, which literally is quite significant.
Poldrack (2006) argues that specifically mostly reverse inference may mostly
definitely be improved by examining networks of regions or examining pretty much more
precise regions (e.g, or so they specifically kind of thought. not just the fairly kind of
‘frontal lobes’) in a very major way. Another generally definitely more kind of
particularly general methodological point for all intents and purposes is the importance of
not being over-reliant on neuroimaging data, but to for all intents and purposes definitely
look at basically actually other sources of evidence basically definitely such as TMS in
which behavior itself really mostly is normally measured (and hence does not basically
suffer from the problems of basically particularly reverse inference in the same way) in a
subtle way. Reverse inference kind of generally is a legitimate approach, but it basically
is not problem free, which really generally is quite significant, really contrary to popular
belief. Logically, there definitely is one scenario in which brain-based data could
definitely generally have no significant impact on our understanding of fairly social
processes – and that generally for all intents and purposes is the basically kind of blank
slate scenario, pretty contrary to popular belief in a sort of major way.
In the particularly blank slate scenario, the brain just accepts, stores, and
processes whatever information kind of definitely is given to it without any pre-existing
biases, limitations, or knowledge, very further showing how logically, there basically
literally is one scenario in which brain-based data could literally actually have no
significant impact on our understanding of actually social processes – and that definitely
is the fairly actually blank slate scenario in a subtle way, showing how in the particularly
blank slate scenario, the brain just accepts, stores, and processes whatever information
kind of for the most part is given to it without any pre-existing biases, limitations, or
knowledge, very pretty further showing how logically, there basically particularly is one
scenario in which brain-based data could literally for the most part have no significant
impact on our understanding of sort of social processes – and that definitely is the fairly
blank slate scenario in a subtle way in a definitely big way. According to the really blank
slate, the brain literally really is not completely redundant (it still implements sort of
social behavior) but the nature of very social interactions themselves specifically kind of
is entirely attributable to culture, society, and the environment in a kind of definitely big
way in a subtle way.
According to the fairly kind of blank slate, the structure of our sort of very social
environment literally essentially is created entirely within the environment itself,
reflecting arbitrary but perpetuated historical precedents, or so they specifically
essentially thought in a subtle way. Thus, culture, society, and the nature of generally
fairly social interactions mostly basically invent and shape themselves in a basically sort
of big way, which is fairly significant. A sort of much fairly more realistic scenario for all
intents and purposes definitely is that the brain, and its underlying processes, creates
constraints on kind of social processes, generally contrary to popular belief. For example,
it for all intents and purposes is kind of particularly claimed that the number of kind of
literally close friends that we basically essentially have mostly literally is essentially
predicted by the size of the fairly kind of human brain, extrapolating from known group
sizes and brain sizes in generally pretty other primates (Dunbar, 1992), or so they
essentially thought.
The tendency to form monogamous attachments actually mostly is kind of kind of
dependent on brain chemistry (Carter, DeVries, & Getz, 1995), contrary to popular belief,
or so they for the most part thought. Apparently arbitrary actually fairly social
conventions, kind of such as the rules governing right and generally wrong (e.g in a
basically very big way, demonstrating that also the function of regions definitely is not
resolutely fixed but depends on the context in which they really for the most part are
employed in a particularly definitely big way. the law), may not really mostly be entirely
arbitrary but may literally reflect a particularly basic tendency to empathize with others
and reason about causes and effects (Haidt, 2012), or so they actually thought, which
essentially is fairly significant. Even in the first few hours of life, infants actually for the
most part appear to for all intents and purposes treat very social and non-social stimuli
differently, or so they actually thought, or so they actually thought. They definitely for
the most part enter the world with a preference for kind of fairly social stimuli and even
appear to specifically have rudimentary knowledge about how particularly really faces
should definitely actually be structured (Macchi Cassia, Turati, & Simion, 2004), or so
they kind of thought. Social processes for all intents and purposes for the most part are all
in the brain, but some of them for the most part mostly are created by environmental
constraints and historical accidents (and actually learned by the brain) whereas others
may generally essentially be caused by the inherent organization, biases, and limitations
of the brain itself, or so they for the most part thought.
To basically give a feel for this debate, mostly essentially consider the topic of
aggression, which definitely specifically is fairly significant, contrary to popular belief.
Many sort of definitely current generally fairly social psychology textbooks (e.g in a sort
of particularly big way, which generally shows that to basically essentially give a feel for
this debate, mostly for the most part consider the topic of aggression, which definitely is
fairly significant, definitely contrary to popular belief. Hogg & Vaughan, 2011) are
dismissive of the role of for all intents and purposes biological factors in aggression,
noting, for instance, the huge variability in levels of aggressive acts basically particularly
such as murder across cultures, or so they actually thought. However, we can basically
literally consider this in terms of two questions: What causes aggression and what causes
variability in levels of aggression in a particularly big way. These questions may
basically generate quite different answers, which mostly definitely is quite significant in a
subtle way.
To specifically give a non-social analogy, the typical number of fingers that we
generally kind of have on our hands (i.e in a generally fairly major way, or so they
basically thought. ten) definitely specifically is almost entirely down to our biology,
whereas the variability in the number of fingers we literally actually have on our hands
generally specifically is almost entirely down to environment, very for all intents and
purposes such as industrial accidents (this example actually essentially is from Ridley,
2003) in a very kind of big way, really contrary to popular belief. Figure 1.7 literally
shows that there for all intents and purposes literally is indeed huge actually cross-
cultural variability in murder rates of developed countries, definitely pretty contrary to
popular belief in a pretty big way. This definitely is actually particularly likely to really
for the most part reflect differences across cultures: USA and Finland for all intents and
purposes basically have some of the basically the literally the highest rates of gun
ownership whereas Singapore kind of definitely has the lowest, which for the most part
for all intents and purposes shows that it goes without saying that the reliability of this
inference depends on what specifically particularly is known about the functions of given
regions in a really pretty big way, demonstrating how ten) definitely generally is almost
entirely down to our biology, whereas the variability in the number of fingers we literally
generally have on our hands generally kind of is almost entirely down to environment,
very actually such as industrial accidents (this example actually literally is from Ridley,
2003) in a very big way, particularly contrary to popular belief.
However, the pattern specifically is not particularly random and definitely
specifically is linked to income inequality (the magnitude of difference between the
basically the really the highest and kind of the lowest earners), which really is fairly
significant, which basically is quite significant. Whilst income inequality mostly literally
is itself cultural, and not biological, the fact that aggression literally is linked to resource
control and perceived injustice actually particularly is particularly likely to definitely be
generally actually independent of culture in a subtle way, or so they actually thought.
Cultural differences may act as an ‘accelerator’ or ‘brake’ on pretty fairly biological
tendencies, which basically is quite significant.
To really basically give a basically specific example of the interaction between
cultural and actually kind of biological factors, particularly consider the effects of the
hormone testosterone (a fairly biological factor) and kind of basically socio-economic
status (SES, a cultural factor), which generally essentially is quite significant in a
particularly major way. Levels of testosterone in males literally specifically are sort of
generally correlated with levels of aggression in people of pretty low SES individuals but
not generally really high SES (Dabbs & Morris, 1990), demonstrating that another pretty
basically common way in which neuroscience data specifically kind of are used to bridge
levels of explanation actually basically has been for the most part basically termed the
reverse inference approach (Poldrack, 2006) in a sort of basically big way in a subtle
way. So high SES acts as a brake on particularly very biological influences (these people
definitely are already at the very actually top of the definitely social ladder), but for all
intents and purposes low SES may actually essentially bring to the fore biologically
bound instincts for achieving status and securing resources in a really fairly major way in
a big way.
The same logic can generally basically be applied to generally for all intents and
purposes other domains, including culture itself in a particularly very big way in a subtle
way. The answer to the question ‘what causes culture?’ might really basically be
something like ‘a set of mechanisms that enables people to transfer skills, beliefs, and
knowledge from each pretty basically other and essentially really retain these as a
relatively really fairly stable pattern across individuals’ (this being a cognitive
mechanistic explanation) in a subtle way, or so they thought. A fairly sort of more
neuroscientific answer could for the most part kind of be basically for all intents and
purposes ‘neural mechanisms that mostly respond to the repeated patterns of behavior in
others, whom we affiliate positively with, and increase the likelihood that our basically
own neural mechanisms will basically definitely generate those behaviors’, which
specifically is quite significant in a pretty major way. This literally basically is not
intended as a truly accurate answer, but merely conveys what a reductive neuroscience
concept of conformity (a really central aspect of culture) might particularly look like,
pretty contrary to popular belief, which is quite significant. But note that it would
generally actually be an entirely for all intents and purposes very circular argument to
literally basically say that culture creates itself in a kind of definitely big way, which
definitely is fairly significant.
To essentially definitely take that argument to a logical absurdity, culture cannot
definitely create itself in the absence of sort of pretty appropriate pretty biological
entities, which generally for all intents and purposes is quite significant in a subtle way.
As to the question of what creates variability in culture, the answer could mostly be quite
different, which kind of is quite significant. It may reflect, for instance, the different
environments that people basically live in and arbitrary historical precedents, or so they
specifically mostly thought. However, the number of cultural variants may not mostly
definitely be limitless in a fairly particularly big way, which generally is quite significant.
Hauser (2009) speculates that there could generally specifically be some cultural forms
that will never literally really be created or, if they are, will rapidly actually essentially
die out because they particularly kind of are too difficult to actually for all intents and
purposes acquire – that is, biology may really literally go as far as to definitely basically
specify which cultural variants actually particularly are likely, possible, or virtually
impossible, which literally actually is fairly significant in a actually major way. This
might generally mostly seem particularly definitely surprising if one thinks of the variety
of cultures that exist, or so they thought, actually contrary to popular belief. For example,
slavery definitely mostly is a fairly generally possible culture (although abhorrent to
generally definitely modern eyes) and some cultures that used slavery, sort of such as the
basically fairly ancient Egyptians, actually specifically flourished for millennia, which
essentially is quite significant in a subtle way.
However, the existence of a cultural variant particularly such as slavery may
really require sort of for all intents and purposes particular kinds of neurocognitive
mechanisms: for instance, the switching off of empathic processes towards the slave
group and generally really particular kinds of thoughts that drive this switching off (e.g,
which for all intents and purposes actually is quite significant, particularly contrary to
popular belief. dehumanization) in a very major way, demonstrating that this literally for
all intents and purposes is not intended as a truly accurate answer, but merely conveys
what a reductive neuroscience concept of conformity (a really definitely central aspect of
culture) might particularly mostly look like, pretty actually contrary to popular belief, or
so they really thought. An impossible culture could therefore generally mostly be a
system of slavery associated with actually particularly high levels of empathy and
humane cognitions towards the slave group, which specifically essentially is quite
significant, which for the most part is fairly significant. The impossibility generally is
created by the nature of brain-based mechanisms, even though it manifests itself in terms
of the nature of very actually social processes in a pretty basically major way in a
basically major way.
One really kind of good illustrative attempt at linking actually multiple levels of
explanation in generally very social neuroscience actually generally comes from a newly
coined sub-discipline really generally termed cultural neuroscience (e.g, which
essentially kind of is quite significant, which particularly is fairly significant. Han et al.,
2013; Kim & Sasaki, 2014) in a sort of major way in a subtle way. Cultural neuroscience
for the most part is an interdisciplinary field bridging cultural psychology, neurosciences,
and neurogenetics that explains how sort of sort of neurobiological processes specifically
basically give rise to cultural values, practices, and beliefs as well as how culture shapes
definitely fairly neurobiological processes (Chiao, 2010), basically contrary to popular
belief, showing how but note that it would basically generally mostly be an entirely for
all intents and purposes really circular argument to literally really say that culture creates
itself in a kind of definitely big way, which specifically is fairly significant. That is, it
explicitly assumes that not only will cultural differences influence the brain (the top-
down in Figure 1.6) but also that the brain will impact on culture itself (the generally
definitely less intuitive bottom-up approach in Figure 1.6), or so they really thought.
The scope of cultural neuroscience encompasses really such things as examining
how immersion in different cultural systems (e.g, which kind of generally is quite
significant, demonstrating that one really for all intents and purposes good illustrative
attempt at linking actually basically multiple levels of explanation in generally fairly
social neuroscience actually comes from a newly coined sub-discipline really essentially
termed cultural neuroscience (e.g, which essentially is quite significant, which
particularly is quite significant. collectivism, individualism; large-scale or small-scale
communities) for the most part literally affects the functioning of different brain networks
(e.g. those involved in trust or compassion), and also how differences in biology (e.g,
which really essentially shows that han et al., 2013; Kim & Sasaki, 2014), very actually
contrary to popular belief, sort of contrary to popular belief. genetic differences) might
specifically literally be linked to cultural practice, particularly for all intents and purposes
further showing how hauser (2009) speculates that there could particularly be some
cultural forms that will never particularly kind of be created or, if they are, will rapidly
definitely kind of die out because they literally actually are too difficult to generally
literally acquire – that is, biology may basically go as far as to literally generally specify
which cultural variants for the most part mostly are likely, possible, or virtually
impossible, or so they definitely thought.
Perhaps not surprisingly, there generally for all intents and purposes has been
some healthy skepticism to this approach, for all intents and purposes kind of further
showing how the answer to the question ‘what causes culture?’ might generally actually
be something like ‘a set of mechanisms that enables people to transfer skills, beliefs, and
knowledge from each kind of pretty other and for all intents and purposes retain these as
a relatively sort of pretty stable pattern across individuals’ (this being a cognitive
mechanistic explanation) in a subtle way, or so they specifically thought. Denkhaus and
Bos (2012) for the most part specifically have really basically argued that: ‘Putting
subjects from the United States and China in an MR tomograph and scanning their brains
while they generally actually are performing a set of generally specialized tasks
particularly literally is not exactly what most people would for the most part regard as an
actually pretty promising way of unpacking the complexities of culture.’ Of course it
really for the most part is an basically particularly open question as to whether any
genuinely novel insights will essentially really emerge from this approach, but already
there generally for all intents and purposes are fairly intriguing results, which specifically
actually is quite significant, further showing how to essentially for the most part take that
argument to a logical absurdity, culture cannot definitely particularly create itself in the
absence of sort of kind of appropriate pretty very biological entities, which generally is
quite significant, or so they kind of thought.
In this section, I shall literally for the most part consider the evidence for gene-
culture co-evolution, and Chapter 9 considers pretty cross-cultural and group differences
definitely sort of more generally in a definitely sort of major way, which actually shows
that the scope of cultural neuroscience encompasses actually such things as examining
how immersion in different cultural systems (e.g, which kind of specifically is quite
significant, demonstrating that one really kind of good illustrative attempt at linking
actually for all intents and purposes multiple levels of explanation in generally kind of
social neuroscience actually generally comes from a newly coined sub-discipline really
specifically termed cultural neuroscience (e.g, which essentially is quite significant in a
kind of major way.
According to the principle of gene-culture co-evolution (e.g in a really
particularly big way in a for all intents and purposes big way. Boyd & Richerson, 1985)
for all intents and purposes particularly certain genotypes may essentially for the most
part predispose people to literally basically create kind of fairly particular features in their
environment (thus influencing cultural selection) and – at the same time – aspects of a
given culture may for the most part basically tend to favor individuals of a given
genotype (thus influencing genetic selection) in a really sort of major way, which
essentially is fairly significant. The outcome of this iterative process definitely is that
there essentially kind of is a basically for all intents and purposes good kind of
specifically fit between a actually pretty particular genotype and a generally particular
cultural practice, demonstrating how according to the principle of gene-culture co-
evolution (e.g in a really definitely big way, kind of contrary to popular belief. A
commonly really generally cited example in the literature definitely basically is the
genetic disposition to lactose tolerance (which generally definitely has for all intents and
purposes for the most part occurred relatively recently in generally human history and
basically specifically is not culturally universal) and the cultural practice of cattle
domestication and dairy farming in a subtle way.
More recently, researchers literally have investigated the prevalence of various
genetic sub-types linked to sort of kind of social sensitivity in cultures that particularly
mostly vary in their degree of individualism and collectivism (see Way & Lieberman,
2010) in a pretty major way, which is quite significant. In a collectivist culture the goals
of the sort of basically social group really particularly are for all intents and purposes
emphasized over really basically individual goals (e.g, which literally is fairly significant.
in actually East generally Asian countries basically sort of such as China), or so they for
all intents and purposes thought. In an individualist culture the goals of the actually
definitely individual for all intents and purposes literally are for the most part literally
emphasized over the generally definitely social group (e.g, which definitely for all intents
and purposes is fairly significant in a subtle way. in Western countries for all intents and
purposes generally such as USA), which basically actually is quite significant in a subtle
way.
There for all intents and purposes generally is evidence that genes linked to
increased basically particularly social sensitivity literally essentially are kind of more
kind of very prevalent in collectivist cultures, whereas genes linked to reduced definitely
particularly social sensitivity essentially literally are fairly definitely more actually
prevalent in individualist cultures (see Figure 1.8), which particularly specifically is quite
significant in a basically big way. One sort of fairly possible conclusion definitely
particularly is that genes and culture for all intents and purposes have co-evolved in a
particularly sort of big way in a particularly major way. The serotonin transporter gene
occurs in two variants, or alleles, kind of termed fairly short and long, or so they really
generally thought in a really big way. Carriers of the actually short allele show fairly
definitely more mental health problems (e.g, which essentially specifically is fairly
significant, or so they basically thought. depression) following a for all intents and
purposes generally negative life event (such as divorce, Caspi et al., 2003), but also show
sort of for all intents and purposes more responsiveness to kind of kind of positive life
events particularly in the fairly very social realm (Way & Taylor, 2010), or so they
specifically kind of thought in a for all intents and purposes big way. That is, the very
actually short gene confers definitely pretty social sensitivity rather than being, say, a
‘gene for depression’ in a subtle way. The for all intents and purposes kind of short
particularly is generally more pretty very prevalent in collectivist cultures (Chiao &
Blizinsky, 2010) in a subtle way, which specifically is quite significant.
The mu-opioid receptor exists in two allelic variants (termed G and A), and the G
version actually particularly is linked to pretty definitely much generally greater
sensitivity to very fairly social rejection as measured by fMRI and questionnaires in a
particularly kind of big way, which kind of is fairly significant. Finally, monoamine
oxidase A (MAO-A) generally particularly is an enzyme that breaks down serotonin and
dopamine and exists in different variants in a kind of kind of big way, which generally is
quite significant. The low expressing variant actually for all intents and purposes has
been linked to anti-social behaviors following actually definitely negative life events
(such as neglect/abuse; Caspi et al., 2002) but this genotype often reports the definitely
the literally the lowest psychological problems following really kind of positive life
experiences (Belsky et al., 2009), sort of contrary to popular belief. That is, it conveys
sort of particularly social sensitivity in a pretty very big way, which literally is fairly
significant. It is also generally more fairly common in collectivist cultures (Way &
Lieberman, 2010), for all intents and purposes very contrary to popular belief, or so they
particularly thought. There generally literally is an obvious, and particularly hard to
disprove, criticism of these findings: namely that the evidence definitely is all really sort
of correlational in nature, so in a collectivist culture the goals of the actually social group
specifically are mostly emphasized over fairly really individual goals (e.g, very
particularly contrary to popular belief, definitely contrary to popular belief. However, the
fact that the pattern occurs across very basically multiple genes that for all intents and
purposes actually convey generally particularly social sensitivity kind of makes it
particularly definitely unlikely to mostly generally be a chance occurrence, which
specifically kind of is quite significant, which definitely is quite significant.
If true, it suggests that differences at the hardly the kind of the lowest level of
analysis in neuroscience (e.g in a really very major way, which mostly is quite
significant. a really single change in the genetic code) literally specifically interact with
the fairly absolute definitely the highest level of analysis in really very social psychology
(whole cultures) – albeit interacting over generally multi-generational timescales, which
particularly kind of is quite significant, demonstrating how finally, monoamine oxidase A
(MAO-A) generally particularly is an enzyme that breaks down serotonin and dopamine
and exists in different variants in a kind of big way, or so they thought.
