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...

Descripción completa

Detalles Bibliográficos
Autores principales: Michael, Andrew M., Anderson, Mathew, Miller, Robyn L., Adalı, Tülay, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071815/
https://www.ncbi.nlm.nih.gov/pubmed/25018704
http://dx.doi.org/10.3389/fnsys.2014.00106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071815/
https://www.ncbi.nlm.nih.gov/pubmed/25018704
http://dx.doi.org/10.3389/fnsys.2014.00106

Ejemplares similares