Artifact removal in the context of group ICA: A comparison of single-subject and group approaches

• Published in: Human brain mapping Vol. 37; no. 3; pp. 1005 - 1025
• Main Authors: Du, Yuhui, Allen, Elena A., He, Hao, Sui, Jing, Wu, Lei, Calhoun, Vince D.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.03.2016; John Wiley & Sons, Inc; John Wiley and Sons Inc
• Subjects: artifacts removal; Brain - physiology; brain functional networks; Computer Simulation; Datasets as Topic; Female; group ICA; group information guided ICA; Humans; independent component analysis (ICA); Logistic Models; Magnetic Resonance Imaging - methods; Male; Pattern Recognition, Automated; Rest; Signal Processing, Computer-Assisted; Young Adult; brain functional networks; artifacts removal; group information guided ICA; group ICA; independent component analysis (ICA)

Independent component analysis (ICA) has been widely applied to identify intrinsic brain networks from fMRI data. Group ICA computes group‐level components from all data and subsequently estimates individual‐level components to recapture intersubject variability. However, the best approach to handle...