Journal Article FZJ-2018-03880

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The role of the anterior insula in social norm compliance and enforcement: evidence from coordinate-based and functional connectivity meta-analyses

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2018
Elsevier Science Amsterdam [u.a.]

Neuroscience & biobehavioral reviews 92, 378-389 () [10.1016/j.neubiorev.2018.06.024]

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Abstract: Economic games -trust (TG) and ultimatum game (UG)- combined with fMRI have shown the importance of the anterior insula (AI) in social normative behaviors. However, whether different AI subregions are engaged in different cognitive and affective processes for social norm compliance and norm enforcement during social exchange remains elusive. Here, we investigated the role of the dorsal AI (dAI) and ventral AI (vAI), combining a coordinate-based meta-analysis of fMRI studies using the TG and UG with meta-analytic task-based and task-free connectivity analyses. Our findings showed that the right dAI and vAI were the only common brain regions consistently activated across games. These clusters were part of two functionally distinguishable connectivity networks associated with cognitive (dAI) and emotional (vAI) processes. In conclusion, we propose that dAI mediates cognitive processes that generate expectancy for norm compliance, whereas vAI mediates aversive feelings that generate motivation to norm enforcement. The identified functional differentiation of the right AI in the social domain contributes to a better understanding of its role in basic and clinical neuroscience.

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Note: This work was supported by the German Federal Ministry of Education and Research (P-57191936 to F. K.), 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. 7202070 (to S. B. E.), the National Postdoctoral Program for Innovative Talents under grant agreement no. BX201600019 (to C. F.), and the China Postdoctoral Science Foundation under grant agreement no. 2017M610055 (to C.F.).

Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  2. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)

Appears in the scientific report 2018
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Medline ; Embargoed OpenAccess ; BIOSIS Previews ; BIOSIS Reviews Reports And Meetings ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2018-07-02, last modified 2021-01-29


Published on 2018-06-26. Available in OpenAccess from 2019-12-26.:
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