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Brain-wide representation of social knowledge.

Daniel Alcalá-López1, Ning Mei2, Pedro Margolles1

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The human brain represents social knowledge across widespread regions, including the default mode network. Social desirability is more strongly encoded than affect, with language models predicting brain activity.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Social Psychology

Background:

  • Understanding how the brain processes social concepts is crucial.
  • Previous research has not fully elucidated the neural mapping of social dimensions like affect and desirability.

Purpose of the Study:

  • To investigate the neural representation of social conceptualizations.
  • To determine how the brain encodes dimensions of social desirability and affect.
  • To explore the role of language processing in social cognition.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) study.
  • Participants simulated experiences from audio definitions of personality traits (affective/non-affective, desirable/undesirable).
  • Decoding analyses and representational similarity analysis with a deep language model were employed.

Main Results:

  • Behaviorally, social desirability ratings better reflected subjective experiences than affect.
  • fMRI decoding identified distributed brain regions, including the default mode network, for both social desirability and affect.
  • Decoding accuracy was higher for social desirability than affect.
  • A deep language model predicted brain activity in temporal lobes, suggesting language's role in social knowledge representation.

Conclusions:

  • The human brain exhibits a widespread representation of social knowledge.
  • Default mode network systems are involved in simulating social experiences.
  • Language processing plays a significant role in the neural representation of social concepts.