Characterizing Whole Brain Temporal Variation of Functional Connectivity via Zero and First Order Derivatives of Sliding Window Correlations

Characterizing Whole Brain Temporal Variation of Functional Connectivity via Zero and First Order Derivatives of Sliding Window Correlations

Brain functional connectivity has been shown to change over time during resting state fMRI experiments. Close examination of temporal changes have revealed a small set of whole-brain connectivity patterns called dynamic states. Dynamic functional network connectivity (dFNC) studies have demonstrated...

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Bibliographic Details
Main Authors: Flor A. Espinoza, Victor M. Vergara, Eswar Damaraju, Kyle G. Henke, Ashkan Faghiri, Jessica A. Turner, Aysenil A. Belger, Judith M. Ford, Sarah C. McEwen, Daniel H. Mathalon, Bryon A. Mueller, Steven G. Potkin, Adrian Preda, Jatin G. Vaidya, Theo G. M. van Erp, Vince D. Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neuroscience
Subjects:
functional network connectivity
group independent component analysis
windowed correlation
derivatives
resting state fMRI
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00634/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00634/full

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