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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...
שמור ב:
| Main Authors: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2014
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| נושאים: | |
| גישה מקוונת: | 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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