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

J 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.

Základní údaje

Originální název

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

Autoři

SHAW, Daniel Joel (826 Velká Británie a Severní Irsko, garant, domácí), Kristína CZEKÓOVÁ (703 Slovensko, domácí), Martin GAJDOŠ (203 Česká republika, domácí), Rostislav STANĚK (203 Česká republika, domácí), Jiří ŠPALEK (203 Česká republika, domácí) a Milan BRÁZDIL (203 Česká republika, domácí)

Vydání

Human Brain Mapping, Wiley-Liss, 2019, 1065-9471

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.421

Kód RIV

RIV/00216224:14740/19:00107204

Organizační jednotka

Středoevropský technologický institut

DOI

http://dx.doi.org/10.1002/hbm.24446

UT WoS

000460481300025

Klíčová slova anglicky

nterior insula; anterior (mid)cingulate cortex; behavioural Dynamic Causal Modelling; connectivity; iterated ultimatum game; reciprocity; social decision making

Štítky

CF MAFIL, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 10. 2024 08:25, Ing. Jana Kuchtová

Anotace

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.

Návaznosti

GA16-18261S, projekt VaV

Název: Inovace rehabilitačních programů pro řidiče: Neurobehaviorální evaluace tréninku empatie

Investor: Grantová agentura ČR, Inovace rehabilitačních programů pro řidiče: Neurobehaviorální evaluace tréninku empatie

90062, velká výzkumná infrastruktura

Název: Czech-BioImaging

Citovat

SHAW, Daniel Joel, Kristína CZEKÓOVÁ, Martin GAJDOŠ, Rostislav STANĚK, Jiří ŠPALEK a Milan BRÁZDIL. Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices. Human Brain Mapping. Wiley-Liss, 2019, roč. 40, č. 2, s. 699-712. ISSN 1065-9471. Dostupné z: https://dx.doi.org/10.1002/hbm.24446.

@article{1475126,
   author = {Shaw, Daniel Joel and Czekóová, Kristína and Gajdoš, Martin and Staněk, Rostislav and Špalek, Jiří and Brázdil, Milan},
   article_number = {2},
   doi = {http://dx.doi.org/10.1002/hbm.24446},
   keywords = {nterior insula; anterior (mid)cingulate cortex; behavioural Dynamic Causal Modelling; connectivity; iterated ultimatum game; reciprocity; social decision making},
   language = {eng},
   issn = {1065-9471},
   journal = {Human Brain Mapping},
   title = {Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.},
   url = {https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24446},
   volume = {40},
   year = {2019}
}

TY  - JOUR
ID  - 1475126
AU  - Shaw, Daniel Joel - Czekóová, Kristína - Gajdoš, Martin - Staněk, Rostislav - Špalek, Jiří - Brázdil, Milan
PY  - 2019
TI  - Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices.
JF  - Human Brain Mapping
VL  - 40
IS  - 2
SP  - 699-712
EP  - 699-712
PB  - Wiley-Liss
SN  - 10659471
KW  - nterior insula
KW  - anterior (mid)cingulate cortex
KW  - behavioural Dynamic Causal Modelling
KW  - connectivity
KW  - iterated ultimatum game
KW  - reciprocity
KW  - social decision making
UR  - https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24446
L2  - https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24446
N2  - 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.
ER  -

SHAW, Daniel Joel, Kristína CZEKÓOVÁ, Martin GAJDOŠ, Rostislav STANĚK, Jiří ŠPALEK a Milan BRÁZDIL. Social decision-making in the brain: Input-state-output modelling reveals patterns of effective connectivity underlying reciprocal choices. \textit{Human Brain Mapping}. Wiley-Liss, 2019, roč.~40, č.~2, s.~699-712. ISSN~1065-9471. Dostupné z: https://dx.doi.org/10.1002/hbm.24446.

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