Central data and statistics support to predict symptom conversion in REM sleep behavior disorder
NAPS2 Data Management and Statistics Core
This project builds a central database and uses advanced statistics and machine learning to help identify which people with REM sleep behavior disorder (RBD) may later develop Parkinson's disease or related conditions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project ID | NIH-11321184 on NIH RePORTER |
What this research studies
You would have your clinical and test data collected, standardized, and stored in a central database where teams clean and monitor data quality. The core combines existing NAPS1 records with newly collected NAPS2 data, performs regular data freezes, and applies statistical and machine-learning methods to find patterns linked to later symptom conversion. The team also trains site staff on compliance and quality control and coordinates analyses and reports across participating centers.
Who could benefit from this research
Good fit: People with REM sleep behavior disorder (RBD) or those considered at risk for prodromal synucleinopathies, especially those able to enroll at a NAPS2 clinical site, are the ideal candidates.
Not a fit: People without RBD or without an interest in sharing clinical data and undergoing follow-up visits are unlikely to benefit directly from this project.
Why it matters
Potential benefit: If successful, this work could improve early identification of people at high risk for Parkinson's or related synucleinopathies, enabling closer monitoring and enrollment in future prevention trials.
How similar studies have performed: Previous research has identified risk markers in RBD and prodromal Parkinson's, but centralizing multi-site data with deep learning across NAPS datasets is a relatively novel approach.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Xiong, Chengjie — Washington University
- Study coordinator: Xiong, Chengjie
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.