Impact of inter-individual variability on the estimation of default mode network in temporal concatenation group ICA

Impact of inter-individual variability on the estimation of default mode network in temporal concatenation group ICA

Temporal concatenation group ICA (TC-GICA) is a widely used data-driven method to extract common functional brain networks among individuals. TC-GICA concatenates the time series of individual fMRI data and applies dimension reduction and ICA algorithms to decompose the data into group-level compone...

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Bibliographic Details
Main Authors:	Yang Hu, Zhi Yang
Format:	Article
Language:	English
Published:	Elsevier 2021-08-01
Series:	NeuroImage
Subjects:	Temporal concatenation group ICA Default mode network Inter-individual variability Functional connectivity Independent component analysis Intrinsic connectivity network
Online Access:	http://www.sciencedirect.com/science/article/pii/S1053811921003918

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