Journal
MAGNETIC RESONANCE IMAGING
Volume 22, Issue 9, Pages 1181-1191Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mri.2004.09.004
Keywords
fMRI; functional; brain; ICA; independent component analysis
Funding
- NCRR NIH HHS [P41 RR15241] Funding Source: Medline
- NIBIB NIH HHS [1 R01 EB 000840] Funding Source: Medline
Ask authors/readers for more resources
Independent component analysis (ICA) is an approach for decomposing fMRI data into spatially independent maps and time courses. We have recently proposed a method for ICA of multisubject data; in the current paper, an extension is proposed for allowing ICA group comparisons. This method is applied to data from experiments designed to stimulate visual cortex, motor cortex or both visual and motor cortices. Several intergroup and intragroup metrics are proposed for assessing the utility of the components for comparisons of group ICA data. The proposed method may prove to be useful in answering questions requiring multigroup comparisons when a flexible modeling approach is desired. (C) 2004 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available