4.8 Article

A brain network supporting social influences in human decision-making

Journal

SCIENCE ADVANCES
Volume 6, Issue 34, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abb4159

Keywords

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Funding

  1. International Research Training Groups CINACS [DFG GRK 1247]
  2. Research Promotion Fund (FFM) for young scientists of the University Medical Center Hamburg-Eppendorf
  3. Vienna Science and Technology Fund [WWTF VRG13-007]
  4. National Natural Science Foundation of China [NSFC 71801110]
  5. Bernstein Award for Computational Neuroscience [BMBF 01GQ1006]
  6. Collaborative Research Center Cross-modal learning [DFG TRR 169]
  7. Collaborative Research in Computational Neuroscience (CRCNS) [BMBF 01GQ1603]

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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.

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