NEMAR copy of ds007020
You're viewing the NEMAR copy at v1.0.0.
Each OpenNeuro pull is a NEMAR major bump
(vN.0.0); intermediate versions are NEMAR-side fixes.
EEG Mortality Dataset in Parkinson's Disease
This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson's disease and age-matched healthy controls, collected to investigate whether EEG signals can predict mortality outcomes. Each subject is labeled as either 'living' or 'deceased' in the participants file, with no additional demographic or clinical information provided. The dataset is intended to support research on EEG biomarkers of mortality risk and machine learning classification approaches in Parkinson's disease populations.
AI-generated description, may include mistakesLoading demographics…
Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.