2020
DOI: 10.21203/rs.3.rs-94060/v1
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Flexible Brain Transitions Between Hierarchical Network Segregation and Integration Predict Human Behavior

Abstract: Cognition involves locally segregated and globally integrated processing. This process is hierarchically organized, linking to evidence from hierarchical modules in brain networks. However, it remains a mystery how flexible transitions between these hierarchical processes are associated with human behavior. Here, we used a multisource interference task and measured hierarchical segregation and integration across multiple levels. Our results show more flexible transitions between segregated and integrated brain… Show more

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Cited by 2 publications
(2 citation statements)
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“…The NSP method was applied to identify the segregation and integration of brain FC networks based on eigenmodes ( Wang et al., 2021a , 2021b ). Using eigen-decomposition, eigenvectors and eigenvalues of FC matrix C were sorted in descending order of .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The NSP method was applied to identify the segregation and integration of brain FC networks based on eigenmodes ( Wang et al., 2021a , 2021b ). Using eigen-decomposition, eigenvectors and eigenvalues of FC matrix C were sorted in descending order of .…”
Section: Methodsmentioning
confidence: 99%
“…Recently, we developed a nested-spectral partition (NSP) method to detect hierarchical modules in brain networks according to the eigenmodes and described segregation and integration across multiple levels ( Wang et al., 2019 ). Hierarchical segregation and integration have been demonstrated to be better neural signatures of cognitive functions than classical signatures ( Wang et al., 2021a , 2021b ). We thus expected that an NSP-based analysis could better reveal the neural biomarkers that underlie distinct ADHD symptoms across the lifespan.…”
Section: Introductionmentioning
confidence: 99%