Detailed Information on Publication Record
2019
Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.
SHAW, Daniel Joel, Kristína CZEKÓOVÁ, Martin GAJDOŠ, Rostislav STANĚK, Jiří ŠPALEK et. al.Basic information
Original name
Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.
Authors
SHAW, Daniel Joel (826 United Kingdom of Great Britain and Northern Ireland, guarantor, belonging to the institution), Kristína CZEKÓOVÁ (703 Slovakia, belonging to the institution), Martin GAJDOŠ (203 Czech Republic, belonging to the institution), Rostislav STANĚK (203 Czech Republic, belonging to the institution), Jiří ŠPALEK (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, belonging to the institution)
Edition
Human Brain Mapping, Wiley-Liss, 2019, 1065-9471
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.421
RIV identification code
RIV/00216224:14740/19:00107204
Organization unit
Central European Institute of Technology
UT WoS
000460481300025
Keywords in English
nterior insula; anterior (mid)cingulate cortex; behavioural Dynamic Causal Modelling; connectivity; iterated ultimatum game; reciprocity; social decision making
Tags
International impact, Reviewed
Změněno: 8/10/2024 08:25, Ing. Jana Kuchtová
Abstract
V originále
During social interactions, decision making involves mutual reciprocity, i.e. each individual s choices are simultaneously a consequence of, and antecedent to those of their interaction partner. Neuroeconomic research has begun to unveil the brain networks underpinning social decision making, but we know little about the patterns of neural connectivity within them that give rise to reciprocal choices. To investigate this, the present study measured the behaviour and brain function of pairs of individuals (N = 66) whilst they played multiple rounds of economic exchange comprising an iterated ultimatum game. During these exchanges, both players could attempt to maximise their overall monetary gain by reciprocating their opponent's prior behaviour: they could promote generosity by rewarding it, and/or discourage unfair play through retaliation. By adapting a model of reciprocity from experimental economics, we show that players' choices on each exchange are captured accurately by estimating their expected utility (EU) as a reciprocal reaction to their opponent's prior behaviour. We then demonstrate neural responses that map onto these reciprocal choices in two brain regions implicated in social decision making: right anterior insula (AI) and anterior/anterior mid cingulate cortex (aMCC). Finally, with behavioural Dynamic Causal Modelling, we identified player specific patterns of effective connectivity between these brain regions with which we estimated each player's choices with over 70% accuracy; namely, bidirectional connections between AI and aMCC that are modulated differentially by estimates of EU from our reciprocity model. This input state output modelling procedure therefore reveals systematic brain behaviour relationships associated with the reciprocal choices characterising interactive social decision making.
Links
| GA16-18261S, research and development project |
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| 90062, large research infrastructures |
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