Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.

•A deep learning method which combines CNN and RNN is developed for multi-site schizophrenia classification.•A leave-one-feature-out method is first proposed to discover the most discriminative biomarkers for schizophrenia classification.•Dorsal striatum and cerebellum components contribute the top two group-discriminative time courses.