Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00107204" target="_blank" >RIV/00216224:14740/19:00107204 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24446" target="_blank" >https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24446</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/hbm.24446" target="_blank" >10.1002/hbm.24446</a>

Result language

angličtina

Original language name

Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Human Brain Mapping

ISSN

1065-9471

e-ISSN

—

Volume of the periodical

40

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

699-712

UT code for WoS article

000460481300025

EID of the result in the Scopus database

2-s2.0-85056707525