Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection

In three linesNovel approach for Major Depressive Disorder detection from EEG without data augmentation. SGC (Score-Guided Classification) uses an unsupervised generative network to model pathological anomalies as prior, fused with deep feature representations. Cross-Channel Spatial Adaptation module handles multi-center channel heterogeneity. Validated on Mumtaz2016 and MODMA datasets.

Summary generated by Claude — human-verified