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

Hu, Y; Yang, Z

Yang, Z (corresponding author), Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Sch Med, Shanghai 200030, Peoples R China.

NEUROIMAGE, 2021; 237 ():

Abstract

Temporal concatenation group ICA (TC-GICA) is a widely used data-driven method to extract common functional brain networks among individuals. TC-GICA ......

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