Journal Article

FZJ-2019-01755

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Love is analogous to money in human brain: Coordinate-based and functional connectivity meta-analyses of social and monetary reward anticipation

Gu, R. ; Huang, W. ; Camilleri, J.FZJ* ; Xu, P. ; Wei, P. ; Eickhoff, S.FZJ* ; Feng, C. (Corresponding author)

2019
Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/21781  doi:10.1016/j.neubiorev.2019.02.017

Abstract: Both social and material rewards play a crucial role in daily life and function as strong incentives for various goal-directed behaviors. However, it remains unclear whether the incentive effects of social and material reward are supported by common or distinct neural circuits. Here, we have addressed this issue by quantitatively synthesizing and comparing neural signatures underlying social (21 contrasts, 207 foci, 696 subjects) and monetary (94 contrasts, 1083 foci, 2060 subjects) reward anticipation. We demonstrated that social and monetary reward anticipation engaged a common neural circuit consisting of the ventral tegmental area, ventral striatum, anterior insula, and supplementary motor area, which are intensively connected during both task and resting states. Functional decoding findings indicate that this generic neural pathway mediates positive value, motivational relevance, and action preparation during reward anticipation, which together motivate individuals to prepare well for the response to the upcoming target. Our findings support the common neural currency hypothesis by providing the first meta-analytic evidence to quantitatively show the common involvement of brain regions in both social and material reward anticipation.

Note: This work was supported by the National Postdoctoral Program for Innovative Talents (BX201600019), the China Postdoctoral Science Foundation (2017M610055), the National Natural Science Foundation of China (31500920, 31470979, 31571124, 31530031), Natural Science Foundation of Shenzhen University (85303-00000275), Shenzhen Peacock Program (827-000235 and KQTD2015033016104926), the Major Program of the Chinese National Social Science Foundation (17ZDA324), the National Institute of Mental Health (R01-MH074457), the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain", and the European Union’s Horizon 2020 Research and Innovation Programme (7202070, HBP SGA1).

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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)
3. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)

Appears in the scientific report 2019

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Database coverage:
; ; BIOSIS Previews ; BIOSIS Reviews Reports And Meetings ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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