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Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia

BACKGROUND: Dynamic functional network connectivity (dFNC) summarizes associations among time-varying brain networks and is widely used for studying dynamics. However, most previous studies compute dFNC using temporal variability while spatial variability started receiving increasing attention. It i...

詳細記述

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書誌詳細
出版年:J Neurosci Methods
主要な著者: Long, Qunfang, Bhinge, Suchita, Calhoun, Vince D., Adali, Tülay
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8026655/
https://ncbi.nlm.nih.gov/pubmed/33370561
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2020.109039
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