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 comprises de-identified resting-state EEG recordings from individuals with Parkinson's disease and age-matched healthy controls, collected to evaluate whether EEG biomarkers can distinguish subjects with differential mortality outcomes. Recordings were acquired using standard clinical EEG systems at 500 Hz sampling rate with 10–20 electrode montage during eyes-open rest conditions. The dataset includes mortality classification labels (living/deceased) and is structured according to BIDS EEG standards, enabling investigation of EEG correlates of mortality risk and development of machine learning classification models.
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.