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

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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Bibliographic Details
Main Authors: Fei Jiang, Huaqing Jin, Yijing Gao, Xihe Xie, Jennifer Cummings, Ashish Raj, Srikantan Nagarajan
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:NeuroImage
Subjects:
Brain state switch
Dynamic resting state functional connectivity
Change point detection
Functional magnetic resonance
Magnetoencephalography
Multi-modality imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922002592

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http://www.sciencedirect.com/science/article/pii/S1053811922002592

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