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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...
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| 出版年: | J Neurosci Methods |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 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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