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Computing Social Value Conversion in the Human Brain.

Haruaki Fukuda1,2,3, Ning Ma1,2, Shinsuke Suzuki1,4,5

  • 1Laboratory for Integrated Theoretical Neuroscience, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|April 20, 2019
PubMed
Summary
This summary is machine-generated.

This study reveals how the brain converts social value into self-decisions through a three-stage neural process. This social value conversion mechanism differs between prosocial and selfish individuals, impacting decision-making behaviors.

Keywords:
computationaldecision makingfMRIsocial preferencesocial value orientationvalue

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Social Psychology

Background:

  • Social signals significantly influence self-reward valuation and decision-making.
  • The neural mechanisms for integrating social value into self-oriented decisions are not fully understood.

Purpose of the Study:

  • To investigate the neural computation processes of social value conversion in the human brain.
  • To elucidate the three-stage processing from social value offer to final decision value.
  • To explore how individual differences in social value conversion relate to distinct sociobehavioral phenotypes.

Main Methods:

  • Behavioral analysis
  • Computational modeling
  • Human functional magnetic resonance imaging (fMRI)
  • Psychophysiological interaction (PPI) analysis
  • Dynamic causal modeling (DCM) analysis

Main Results:

  • Social value is processed in three distinct stages: offered value (right temporoparietal junction/rTPJ and left dorsolateral prefrontal cortex/ldlPFC), effective value (right anterior insula/rAI), and decision value (medial prefrontal cortex/mPFC).
  • A feedforward neural circuit processes social value conversion sequentially: rTPJ/ldlPFC → rAI → mPFC.
  • Variability in social value conversion strength correlates with differences between prosocial and selfish behavioral phenotypes, indicated by differential neural coupling.

Conclusions:

  • Identified a fundamental three-stage neural computation for social value conversion.
  • Demonstrated a feedforward processing pathway in the brain for integrating social information into self-decisions.
  • Highlighted how individual differences in neural processing of social value conversion underlie distinct social behaviors.