on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification
EEG
This dataset presents a comprehensive methodology for sample enrichment in electroencephalography (EEG) biomarker studies designed to classify Alzheimer's disease risk. The study employs systematic approaches to optimize participant selection and EEG data quality for improved biomarker identification and risk stratification in neurodegenerative disease research. The dataset includes raw EEG recordings and associated metadata following BIDS standards. This resource supports research into early detection and risk classification of Alzheimer's disease through advanced EEG biomarker analysis.
- Participants
- 44
- Size
- 13.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026