Modeling inter-subject heterogeneity improves multisite rs-fMRI identification of major depressive disorder: An interpretable graph neural network approach.
BACKGROUND Major depressive disorder (MDD) is a highly heterogeneous affective disorder, and the identification of reliable neuroimaging markers remains challenging. Resting-state functional magnetic resonance imaging offers a promising approach for characterizing altered brain functional organization in MDD. However,...