Open access
Jul 2026
EEGDecoder-x: an explainable deep learning framework for cross-subject EEG-based detection of Alzheimer's and Creutzfeldt–Jakob disease
A novel interpretable framework is proposed for decoding EEG signals from subjects with Alzheimer's disease, Creutzfeldt–Jakob disease, and healthy controls, while providing insight into the model's learned characteristics, demonstrating both the effectiveness and interpretability of EEGDecoder-x.
Muhammad Suffian, Nadia Mammone, C. Ieracitano et al.
· Frontiers in Neurology · 0 citations