Fig. 1

Schematic of our method. All resting-state scans were preprocessed and used construct functional connectivity matrix (90 × 90 in this study). Then all these functional connectivity matrices were divided into train data and test data in each cross-validation (leave-one-out method used here), train data were used to build model and test data were used to evaluate performance of the model