Validation of Shared and Specific Independent Component Analysis (SSICA) for between-group comparisons in fMRI

Independent component analysis (ICA) has been widely used to study functional magnetic resonance imaging (fMRI) connectivity. However, the application of ICA in multi-group designs is not straightforward. We have recently developed a new method named shared and specific independent component analysi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Mona Maneshi, Shahabeddin Vahdat, Jean Gotman, Christophe Grova
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2016-09-01
Sarja:	Frontiers in Neuroscience
Aiheet:	fMRI Statistical Modeling independent component analysis (ICA) functional connectivity (FC) between-groups comparison
Linkit:	http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00417/full
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