Code and derived data for: Region-wise Parkinson's disease detection from resting-state EEG using multi-domain features and temporal graph neural networks.
Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
Abstract
This repository holds the code, derived data and trained model checkpoints for a study of region-wise Parkinson’s disease detection from resting-state EEG, using 17 multi-domain features and three temporal graph neural networks (TGCN, TGIN, TGAT). It includes the pipeline notebooks, the fixed subject-wise split, the window-level feature table, the archived full-montage and regional checkpoints with SHA-256 checksums, the result tables, and the scripts for the paper’s figures and a logistic-regression baseline. The raw EEG is not included; it comes from OpenNeuro dataset ds004584 (https://doi.org/10.18112/openneuro.ds004584.v1.0.0).
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