Dyad sex composition effect on inter-brain synchronization in face-to-face cooperation.

Inter-brain synchronization Sex composition effect Social cooperation fNIRS hyperscanning

Journal

Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405

Informations de publication

Date de publication:
Jun 2021
Historique:
pubmed: 8 8 2020
medline: 21 7 2021
entrez: 8 8 2020
Statut: ppublish

Résumé

Human cooperation behavior based on reciprocal altruism has been a hallmark of ancient and modern societies. Prior studies have indicated that inter-brain synchronization (IBS) between partners could exist during cooperation. However, how the sex composition of dyads influences the neural synchronization is still poorly understood. Here, we adopted functional near-infrared spectroscopy (fNIRS) based hyperscanning and a task of building blocks to investigate the sex composition effect on IBS in face-to-face cooperation in a natural situation, by evaluating brain-to-brain interactions of forty-five same-sex and mixed-sex dyads. Results showed significantly stronger inter-brain synchronization in Brodmann area 10 (BA10) in cooperation. In addition, variance analysis indicated that only male-male dyads showed increased inter-brain synchronization in left inferior frontal region (i.e., BA10) specific to cooperation. More importantly, the inter-brain synchronization in male-male dyads was significantly greater than that in male-female and female-female dyads. These findings provide support for the impact of sex composition on social cooperation in a naturalistic interactive setting and extend our knowledge on the neural basis of face-to-face cooperation.

Identifiants

pubmed: 32761565
doi: 10.1007/s11682-020-00361-z
pii: 10.1007/s11682-020-00361-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1667-1675

Subventions

Organisme : National Natural Science Foundation of China
ID : 31973906

Informations de copyright

© 2020. Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Yuhua Li (Y)

Faculty of Psychology, Southwest University, Chongqing, 400715, China.

Rui Chen (R)

Faculty of Psychology, Southwest University, Chongqing, 400715, China.

Ofir Turel (O)

Information Systems and Decision Sciences, California State University, Fullerton, CA, USA.
Brain and Creativity Institute and Department of Psychology, University of Southern California, Los Angeles, CA, USA.

Tingyong Feng (T)

Faculty of Psychology, Southwest University, Chongqing, 400715, China.
Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China.

Chao-Zhe Zhu (CZ)

National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Qinghua He (Q)

Faculty of Psychology, Southwest University, Chongqing, 400715, China. heqinghua@swu.edu.cn.
Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China. heqinghua@swu.edu.cn.
Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China. heqinghua@swu.edu.cn.
Southwest University Branch, Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Chongqing, China. heqinghua@swu.edu.cn.
Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China. heqinghua@swu.edu.cn.

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