Age Prediction with Resting‐State EEG: An Explainable Hybrid Deep Learning Framework Using Periodic and Aperiodic Features Across Eyes‐Open and Eyes‐Closed Conditions

Abstract

Background: Resting‐state EEG (rsEEG) elucidates neural aging, yet many deep learning approaches rely on full‐spectrum features, focus on eyes‐closed conditions, and lack interpretability.