Cited by 160Neural and Behavioral Psychology StudiesExperimental Behavioral Economics StudiesNeuroendocrine regulation and behavior

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Neural signatures of trust in reciprocity: A coordinate‐based meta‐analysis

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Bellucci, Gabriele, Chernyak, Sergey V., Goodyear, Kimberly, Eickhoff, Simon B., Krueger, Frank·2017·Human Brain Mapping

Abstract

Trust in reciprocity (TR) is defined as the risky decision to invest valued resources in another party with the hope of mutual benefit. Several fMRI studies have investigated the neural correlates of TR in one‐shot and multiround versions of the investment game (IG). However, an overall characterization of the underlying neural networks remains elusive. Here, a coordinate‐based meta‐analysis was employed (activation likelihood estimation method, 30 articles) to investigate consistent brain activations in each of the IG stages (i.e., the trust, reciprocity and feedback stage). Results showed consistent activations in the anterior insula (AI) during trust decisions in the one‐shot IG and decisions to reciprocate in the multiround IG, likely related to representations of aversive feelings. Moreover, decisions to reciprocate also consistently engaged the intraparietal sulcus, probably involved in evaluations of the reciprocity options. On the contrary, trust decisions in the multiround IG consistently activated the ventral striatum, likely associated with reward prediction error signals. Finally, the dorsal striatum was found consistently recruited during the feedback stage of the multiround IG, likely related to reinforcement learning. In conclusion, our results indicate different neural networks underlying trust, reciprocity, and feedback learning. These findings suggest that although decisions to trust and reciprocate may elicit aversive feelings likely evoked by the uncertainty about the decision outcomes and the pressing requirements of social standards, multiple interactions allow people to build interpersonal trust for cooperation via a learning mechanism by which they arguably learn to distinguish trustworthy from untrustworthy partners. Hum Brain Mapp 38:1233–1248, 2017. © 2016 Wiley Periodicals, Inc.

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  • The NAcc consistently responds to trust decisions during the multi-round trust game.

    “The NAcc consistently responds to trust decisions during the multi‐round trust game,[ 29 ]”

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Metadata

Authors
Bellucci, G., Chernyak, S. V., Goodyear, K., Eickhoff, S. B., & Krueger, F.
Affiliations
  • University of Lübeck (DE)
  • George Mason University (US)
  • National Institute on Drug Abuse (US)
  • Forschungszentrum Jülich (DE)
  • Department of Psychology George Mason University Fairfax Virginia
Venue
Human Brain Mapping
Publisher
Wiley
Published
2016-11-17
Volume
38
Issue
3
Pages
1233-1248
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2550042899
Cited by
160
References
23
Citations by year
2026: 13 · 2025: 12 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 35 · 2020: 42 · 2019: 13 · 2018: 11 · 2017: 5
FWCI
0.93
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
  • German Federal Ministry of Education and Research (P-57191936 to F. K.)
  • the Deutsche Forschungsgemeinschaft (DFG, EI 816/4-1)
  • the National Institute of Mental Health (R01-MH074457)
  • the Helmholtz Portfolio Theme “Supercomputing and Modelling for the Human Brain”
  • the European Union Seventh Framework Program (FP7/2007-2013) under grant agreement no. 604102 (to S. B. E.).)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroendocrine regulation and behavior
Keywords
trust game, anterior insula, intraparietal sulcus, ventral striatum, dorsal striatum, reward prediction error, reinforcement learning, social cooperation, feedback learning
MeSH terms
Algorithms, Brain, Brain Mapping, Female, Humans, Interpersonal Relations, Male, Likelihood Functions, Databases, Bibliographic, Feedback, Psychological, Trust

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