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dc.contributor.authorWu, Xinran
dc.contributor.authorKong, Xiangzhen
dc.contributor.authorVatansever, Deniz
dc.contributor.authorLiu, Zhaowen
dc.contributor.authorZhang, Kai
dc.contributor.authorSahakian, Barbara J
dc.contributor.authorRobbins, Trevor W
dc.contributor.authorFeng, Jianfeng
dc.contributor.authorThompson, Paul
dc.contributor.authorZhang, Jie
dc.descriptionFunder: Information Technology Center of Zhejiang University
dc.descriptionFunder: Shanghai Pujiang Program
dc.description.abstractHemispheric lateralization constitutes a core architectural principle of human brain organization underlying cognition, often argued to represent a stable, trait-like feature. However, emerging evidence underlines the inherently dynamic nature of brain networks, in which time-resolved alterations in functional lateralization remain uncharted. Integrating dynamic network approaches with the concept of hemispheric laterality, we map the spatiotemporal architecture of whole-brain lateralization in a large sample of high-quality resting-state fMRI data (N = 991, Human Connectome Project). We reveal distinct laterality dynamics across lower-order sensorimotor systems and higher-order associative networks. Specifically, we expose 2 aspects of the laterality dynamics: laterality fluctuations (LF), defined as the standard deviation of laterality time series, and laterality reversal (LR), referring to the number of zero crossings in laterality time series. These 2 measures are associated with moderate and extreme changes in laterality over time, respectively. While LF depict positive association with language function and cognitive flexibility, LR shows a negative association with the same cognitive abilities. These opposing interactions indicate a dynamic balance between intra and interhemispheric communication, i.e., segregation and integration of information across hemispheres. Furthermore, in their time-resolved laterality index, the default mode and language networks correlate negatively with visual/sensorimotor and attention networks, which are linked to better cognitive abilities. Finally, the laterality dynamics are associated with functional connectivity changes of higher-order brain networks and correlate with regional metabolism and structural connectivity. Our results provide insights into the adaptive nature of the lateralized brain and new perspectives for future studies of human cognition, genetics, and brain disorders.
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International
dc.sourcenlmid: 101183755
dc.sourceessn: 1545-7885
dc.subjectBrain Mapping
dc.subjectFunctional Laterality
dc.subjectMagnetic Resonance Imaging
dc.titleDynamic changes in brain lateralization correlate with human cognitive performance.
prism.publicationNamePLoS Biol
dc.contributor.orcidZhang, Jie [0000-0002-5016-9192]
pubs.funder-project-idNational Natural Science Foundation of China (NSFC 61973086, NSFC 91630314, 31950410541, 32171031)
pubs.funder-project-idkey project of Shanghai Science and Technology (No. 16JC1420402)
pubs.funder-project-idKey Technologies Research and Development Program (No. 2018YFC1312900)
pubs.funder-project-idScience and Technology Innovation 2030 - Brain Science and Brain-Inspired Intelligence Project (2021ZD0200204)
pubs.funder-project-idShanghai Municipal Science and Technology Major Project (No.2018SHZDZX01, 2018SHZDZX01)
pubs.funder-project-idOverseas Expertise Introduction Project for Discipline Innovation (No. B18015)
pubs.funder-project-idNational Institutes of Health (U54 EB020403)
pubs.funder-project-idFundamental Research Funds for the Central Universities (2021XZZX006)

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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International