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  Functional connectivity of specific resting-state networks predicts trust and reciprocity in the trust game

Bellucci, G., Hahn, T., Deshpande, G., & Krueger, F. (2019). Functional connectivity of specific resting-state networks predicts trust and reciprocity in the trust game. Cognitive, Affective and Behavioral Neuroscience, 19(1), 165-176. doi:10.3758/s13415-018-00654-3.

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Bellucci, G1, Author              
Hahn, T, Author
Deshpande, G, Author
Krueger, F, Author
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1External Organizations, ou_persistent22              

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 Abstract: Economic games are used to elicit a social, conflictual situation in which people have to make decisions weighing self-related and collective interests. Combining these games with task-based fMRI has been shown to be successful in investigating the neural underpinnings of cooperative behaviors. However, it remains elusive to which extent resting-state functional connectivity (RSFC) represents an individual's propensity to prosocial behaviors in the context of economic games. Here, we investigated whether task-free RSFC predicts individual differences in the propensity to trust and reciprocate in a one-round trust game (TG) employing a prediction-analytics framework. Our results demonstrated that individual differences in the propensity to trust and reciprocity could be predicted by individual differences in the RSFC. Different subnetworks of the default-mode network associated with mentalizing exclusively predicted trust and reciprocity. Moreover, reciprocity was further predicted by the frontoparietal and cingulo-opercular networks associated with cognitive control and saliency, respectively. Our results contribute to a better understanding of how complex social behaviors are enrooted in large-scale intrinsic brain dynamics, which may represent neuromarkers for impairment of prosocial behavior in mental health disorders.

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 Dates: 2019-02
 Publication Status: Published in print
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 Identifiers: DOI: 10.3758/s13415-018-00654-3
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Title: Cognitive, Affective and Behavioral Neuroscience
  Abbreviation : Cogn Affect Behav Neurosci
Source Genre: Journal
 Creator(s):
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Publ. Info: Austin, TX : Psychonomic Society
Pages: - Volume / Issue: 19 (1) Sequence Number: - Start / End Page: 165 - 176 Identifier: ISSN: 1530-7026
CoNE: https://pure.mpg.de/cone/journals/resource/1530-7026