A brain network supporting social influences in human decision-making

Lei Zhang*, Jan Gläscher

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

92 Downloads (Pure)

Abstract

Humans learn from their own trial-and-error experience and observing others. However, it remains unknown how brain circuits compute expected values when direct learning and social learning coexist in uncertain environments. Using a multiplayer reward learning paradigm with 185 participants (39 being scanned) in real time, we observed that individuals succumbed to the group when confronted with dissenting information but observing confirming information increased their confidence. Leveraging computational modeling and functional magnetic resonance imaging, we tracked direct valuation through experience and vicarious valuation through observation and their dissociable, but interacting neural representations in the ventromedial prefrontal cortex and the anterior cingulate cortex, respectively. Their functional coupling with the right temporoparietal junction representing instantaneous social information instantiated a hitherto uncharacterized social prediction error, rather than a reward prediction error, in the putamen. These findings suggest that an integrated network involving the brain’s reward hub and social hub supports social influence in human decision-making.
Original languageEnglish
JournalScience Advances
DOIs
Publication statusPublished - Aug 2020

Fingerprint

Dive into the research topics of 'A brain network supporting social influences in human decision-making'. Together they form a unique fingerprint.

Cite this