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...

Full description

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

Internet

http://www.sciencedirect.com/science/article/pii/S1053811921003918

Similar Items