An introduction to Multiway Methods for Multi-Subject fMRI experiment
نویسندگان
چکیده
Model free exploratory methods available for functional MRI analysis of one subject such as Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are investigated for generalisations when analysing more than one subject. Introducing the subject dimension makes a three-way data: brain, time, subject, and multiway methods are proposed either to optimise the variance (PCA) or the Negentropy (ICA). Results of folded methods and purely multiway ones are described on a 12 subjects verbal study.
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