ArticleMovement disorders : official journal of the Movement Disorder Society2023
Ambulatory Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Combining Actigraphy and Questionnaire.
Article in Movement disorders : official journal of the Movement Disorder Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 36 citations in OpenAlex.
- Actigraphy Meets AI: A Digital Biomarker for Parkinson's Disease and Isolated REM Sleep Behaviour Disorder.Journal of sleep research · 2026Article
- Prevalence and clinical implications of Rapid eye movement sleep behavior disorder in Alzheimer's disease and Lewy body dementia.GeroScience · 2026Observational
- Fully-automated sleep staging for Parkinson's disease and isolated REM sleep behavior disorder.NPJ digital medicine · 2026Article
- ActiTect: a generalizable machine learning pipeline for REM sleep behavior disorder screening through standardized actigraphy.NPJ digital medicine · 2026Article
- A Two-Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort.Annals of clinical and translational neurology · 2026Article
- The correlates of hyperechogenicity of the substantia nigra in subjects at risk of dementia with Lewy bodies.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Digital Technology for Sleep Symptoms in Parkinson's Disease: A Scoping Review.Journal of movement disorders · 2026Article
- Comparison of EMG, Video, and Actigraphy Signals for Detecting Motor Activity in REM Sleep Behavior Disorder.Diagnostics (Basel, Switzerland) · 2026Article
- Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor.NPJ digital medicine · 2026Article
- Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations.NPJ digital medicine · 2025Article
- REM Sleep Behavior Disorder as a Prodromal Synucleinopathy: Updates on Clinical and Laboratory Biomarkers, and Implications for Neuroprotective Trials.Current neurology and neuroscience reports · 2025Review
- Isolated REM Sleep Behaviour Disorder-Is Screening Possible?Journal of sleep research · 2025Review
- The Future of Parasomnias.Journal of sleep research · 2025Review
- Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.NPJ Parkinson's disease · 2025Article
- Sleep disturbances and disorders in the memory clinic: Self-report, actigraphy, and polysomnography.Journal of Alzheimer's disease : JAD · 2025Article
- Innsbruck REM Sleep Behavior Disorder Inventory may distinguish abnormal nocturnal movements related to obstructive sleep apnea.Arquivos de neuro-psiquiatria · 2025Article
- Diagnostic performance of actigraphy in Alzheimer's disease using a machine learning classifier - a cross-sectional memory clinic study.Alzheimer's research & therapy · 2025Article
- Automated Detection of Isolated REM Sleep Behavior Disorder Using Computer Vision.Annals of neurology · 2025Article
- From mechanisms to future therapy: a synopsis of isolated REM sleep behavior disorder as early synuclein-related disease.Molecular neurodegeneration · 2025Review
- Accelerometry-derived features of physical activity, sleep and circadian rhythm relate to non-motor symptoms in individuals with isolated REM sleep behavior disorder.Journal of neurology · 2025Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIsolated rapid-eye-movement sleep behavior disorder (iRBD) is in most cases a prodrome of neurodegenerative synucleinopathies, affecting 1% to 2% of middle-aged and older adults; however, accurate ambulatory diagnostic methods are not available. Questionnaires lack specificity in nonclinical populations. Wrist actigraphy can detect characteristic features in individuals with RBD; however, high-frequency actigraphy has been rarely used.
objectiveThe aim was to develop a machine learning classifier using high-frequency (1-second resolution) actigraphy and a short patient survey for detecting iRBD with high accuracy and precision.
methodsThe method involved analysis of home actigraphy data (for seven nights and more) and a nine-item questionnaire (RBD Innsbruck inventory and three synucleinopathy prodromes of subjective hyposmia, constipation, and orthostatic dizziness) in a data set comprising 42 patients with iRBD, 21 sleep clinic patients with other sleep disorders, and 21 community controls.
resultsThe actigraphy classifier achieved 95.2% (95% confidence interval [CI]: 88.3-98.7) sensitivity and 90.9% (95% CI: 82.1-95.8) precision. The questionnaire classifier achieved 90.6% accuracy and 92.7% precision, exceeding the performance of the Innsbruck RBD Inventory and prodromal questionnaire alone. Concordant predictions between actigraphy and questionnaire reached a specificity and precision of 100% (95% CI: 95.7-100.0) with 88.1% sensitivity (95% CI: 79.2-94.1) and outperformed any combination of actigraphy and a single question on RBD or prodromal symptoms.
conclusionsActigraphy detected iRBD with high accuracy in a mixed clinical and community cohort. This cost-effective fully remote procedure can be used to diagnose iRBD in specialty outpatient settings and has potential for large-scale screening of iRBD in the general population. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.