A brain network supporting social influences in human decision-making

被引:66
|
作者
Zhang, Lei [1 ,2 ]
Glaescher, Jan [1 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Inst Syst Neurosci, D-20246 Hamburg, Germany
[2] Univ Vienna, Fac Psychol, Dept Cognit Emot & Methods Psychol, Neuropsychopharmacol & Biopsychol Unit, A-1010 Vienna, Austria
来源
SCIENCE ADVANCES | 2020年 / 6卷 / 34期
基金
中国国家自然科学基金;
关键词
MEDIAL PREFRONTAL CORTEX; NEURAL MECHANISMS; FMRI; MODEL; COMPUTATIONS; TRACKING;
D O I
10.1126/sciadv.abb4159
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:19
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