Accelerometry-Derived REM Sleep Behavior Disorder Predicts Future Parkinson's Disease in the UK Biobank
Mejia, G. R.; Brink-Kjaer, A.; Liu, L.; Zhou, L.; Gunter, K.; Ryu, K. H.; Wickramaratne, S. D.; Parekh, A.; Gan-Or, Z.; During, E.
Show abstract
Estimating Parkinson's disease (PD) risk years before diagnosis remains an unmet need. We applied a validated machine learning classifier for REM sleep behavior disorder (RBD) detection to 7-day wrist accelerometry data in 87,975 UK Biobank participants followed for 10 years. Participants in the highest RBD risk stratum (>99th percentile) had an approximately fivefold increased hazard of incident PD compared with the lowest-risk group (0-90th percentile), with a dose-dependent relationship across the full score distribution. Among non-converters, higher RBD risk was associated with baseline cognitive deficits and longitudinal enrichment of autonomic and psychiatric prodromal features. The association with incident PD remained independent of PD polygenic risk score, while RBD score and genetic risk were synergistic. The combined high-risk group achieved a positive likelihood ratio of 7.91, approximately threefold higher than questionnaire-based RBD screening. These findings support wrist accelerometry as a scalable approach for prodromal PD risk enrichment in population screening.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Genetic Analysis and Natural History of Parkinson’s Disease Due to the LRRK2 G2019S Variant 97%
- Large-scale genetic characterization of Parkinson’s disease in the African and African admixed populations 95%
- Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia 94%
Similar papers in this journal
- Insights on Genetic and Environmental Factors in Parkinson’s Disease from a regional Swedish Case-Control Cohort 95%
- Rare PSAP variants and possible interaction with GBA in REM sleep behavior disorder 91%
- Voice of the patient: Emergence of new motor and non-motor symptoms in early Parkinsons Disease? 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.