Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM.

Results Feature selection Amongst the 18 initially devised features, 5 are highly significant ( p < 0.01) as determined by the explanatory power test (see Table 3 ).

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