EEG and AI to Analyse Antidepressant Treatment ResponseDepression is a highly heterogeneous condition, with up to one-third of patients failing to respond adequately to first-line SSRI therapy. The best-performing EEG SSRI treatment response model was an SVM-based approach using 12-second EEG windows, which achieved 96.83% accuracy. Neurophysiological Signatures of Antidepressant ResponseBeyond prediction, the analysis revealed distinct neurophysiological patterns associated with SSRI response. Implications and LimitationsThe authors concluded that Beta2 oscillations and long-range connectivity may serve as reliable biomarkers for SSRI treatment response. Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features.