Spatio-temporal deep learning method for ADHD fMRI classification

•Fusing spatial and temporal features is effective in fMRI classification.•Models considering sequence achieve better results than timing invariant models.•fMRI scans longer than one minute contain enough information for ADHD diagnosis.•deep-learned features outperform hand-crafted features in fMRI analysis.