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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Bibliografiska uppgifter
Huvudupphovsmän: Michael, Andrew M., Anderson, Mathew, Miller, Robyn L., Adalı, Tülay, Calhoun, Vince D.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2014
Ämnen:
Neuroscience
Länkar: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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