Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features

Objective: To explore whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA). Methods: Thirty-eight drug-naive patients with PI, and 44 healthy controls (HC)...

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Enregistré dans:
Détails bibliographiques
Publié dans:Front Neurol
Auteurs principaux: Li, Chao, Mai, Yuanqi, Dong, Mengshi, Yin, Yi, Hua, Kelei, Fu, Shishun, Wu, Yunfan, Jiang, Guihua
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2019
Sujets:
Neurology
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6783513/
https://ncbi.nlm.nih.gov/pubmed/31632335
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2019.01037
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