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A schematic overview of the proposed framework is presented. In particular: (i) an image pre-processing phase, consisting of intensity and spatial normalization, is necessary to acquire a rough inter-subject correspondence; (ii) then each subject is employed to build a multiplex network (in the dotted box); (iii) finally, machine learning classification is used to assess the multiplex feature information content.
