on007020
EEG Mortality Dataset in Parkinson's Disease
EEG
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.
- Participants
- 94
- Channels
- 63 (10-10)
- Size
- 1.74 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026