Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVA

Independent component analysis (ICA) is a widely applied technique to derive functionally connected brain networks from fMRI data. Group ICA (GICA) and Independent Vector Analysis (IVA) are extensions of ICA that enable users to perform group fMRI analyses; however a full comparison of the performan...

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Bibliographic Details
Main Authors: Michael, Andrew M., Anderson, Mathew, Miller, Robyn L., Adalı, Tülay, Calhoun, Vince D.
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2014
Subjects:
Neuroscience
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4071815/
https://ncbi.nlm.nih.gov/pubmed/25018704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsys.2014.00106
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