Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging

Dynamic resting state functional connectivity (RSFC) characterizes fluctuations that occur over time in functional brain networks. Existing methods to extract dynamic RSFCs, such as sliding-window and clustering methods that are inherently non-adaptive, have various limitations such as high-dimensio...

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Detalles Bibliográficos
Autores principales: Jiang, Fei, Jin, Huaqing, Gao, Yijing, Xie, Xihe, Cummings, Jennifer, Raj, Ashish, Nagarajan, Srikantan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942947/
https://www.ncbi.nlm.nih.gov/pubmed/35337963
http://dx.doi.org/10.1016/j.neuroimage.2022.119131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942947/
https://www.ncbi.nlm.nih.gov/pubmed/35337963
http://dx.doi.org/10.1016/j.neuroimage.2022.119131

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