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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...

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Principais autores: Mona Maneshi, Shahabeddin Vahdat, Jean Gotman, Christophe Grova
פורמט: Artigo
שפה:Inglês
יצא לאור: Frontiers Media S.A. 2016-09-01
סדרה:Frontiers in Neuroscience
נושאים:
fMRI
Statistical Modeling
independent component analysis (ICA)
functional connectivity (FC)
between-groups comparison
גישה מקוונת:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00417/full
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