Performances of whole-brain dynamic and static functional connectivity fingerprinting in machine learning-based classification of major depressive disorder

BACKGROUND: Alterations in static and dynamic functional connectivity during resting state have been widely reported in major depressive disorder (MDD). The objective of this study was to compare the performances of whole-brain dynamic and static functional connectivity combined with machine learnin...

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Detalles Bibliográficos
Autores principales: Niu, Heng, Li, Weirong, Wang, Guiquan, Hu, Qiong, Hao, Rui, Li, Tianliang, Zhang, Fan, Cheng, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360427/
https://www.ncbi.nlm.nih.gov/pubmed/35958666
http://dx.doi.org/10.3389/fpsyt.2022.973921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360427/
https://www.ncbi.nlm.nih.gov/pubmed/35958666
http://dx.doi.org/10.3389/fpsyt.2022.973921

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