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Sex differences in large-scale brain network connectivity for mental rotation performance.
Zhang, Kaijie; Fang, Haifeng; Li, Zheng; Ren, Tian; Li, Bao-Ming; Wang, Chunjie.
Affiliation
  • Zhang K; Institute of Brain Science and Department of Psychology, Jing Hengyi School of Education, Hangzhou 311121, China; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China.
  • Fang H; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China; School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China.
  • Li Z; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China; School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China.
  • Ren T; Institute of Brain Science and Department of Psychology, Jing Hengyi School of Education, Hangzhou 311121, China; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China.
  • Li BM; Institute of Brain Science and Department of Psychology, Jing Hengyi School of Education, Hangzhou 311121, China; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China; School of Basic Medical Sciences, H
  • Wang C; Institute of Brain Science and Department of Psychology, Jing Hengyi School of Education, Hangzhou 311121, China; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China. Electronic address: cjwang@hznu.edu
Neuroimage ; 298: 120807, 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39179012
ABSTRACT
Mental rotation has emerged as an important predictor for success in science, technology, engineering, and math fields. Previous studies have shown that males and females perform mental rotation tasks differently. However, how the brain functions to support this difference remains poorly understood. Recent advancements in neuroimaging techniques have enabled the identification of sex differences in large-scale brain network connectivity. Using a classic mental rotation task with functional magnetic resonance imaging, the present study investigated whether there are any sex differences in large-scale brain network connectivity for mental rotation performance. Our results revealed that, relative to females, males exhibited less cross-network interaction (i.e. lower inter-network connectivity and participation coefficient) of the visual network but more intra-network integration (i.e. higher intra-network connectivity and local efficiency) and cross-network interaction (i.e. higher inter-network connectivity and participation coefficient) of the salience network. Across all participants, mental rotation performance was negatively correlated with cross-network interaction (i.e. participation coefficient) of the visual network, was positively correlated with cross-network interaction (i.e. inter-network connectivity) of the salience network, and was positively correlated with intra-network integration (i.e. local efficiency) of the somato-motor network. Interestingly, the cross-network integration indexes of both the visual and salience networks significantly mediated sex difference in mental rotation performance. The present findings suggest that large-scale brain network connectivity may constitute an essential neural basis for sex difference in mental rotation, and highlight the importance of considering sex as a research variable in investigating the complex network underpinnings of spatial cognition.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: China Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: China Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA