Journal Article DZNE-2026-00914

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Wearable Movement-Tracking for Prodromal Parkinson's Disease Detection: A Cross-Country Validation Study.

 ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;

2026
Wiley New York, NY

Movement disorders 41(8), 2189 - 2200 () [10.1002/mds.70329]

This record in other databases:    

Please use a persistent id in citations: doi:

Abstract: Models trained on accelerometer data have been proposed for detecting prodromal Parkinson's disease (PD). However, uncertainties in diagnosis timing in the UK Biobank (UKBB) may affect generalizability to other cohorts.The aim of the study was to evaluate the performance of previously published models for prodromal PD detection in other international cohorts.We applied the models to data from German and British cohorts of individuals with isolated or idiopathic rapid eye movement sleep behavior disorder and healthy controls. We compared hourly acceleration patterns and classification performance across cohorts.The British cohort exhibited visually similar activity patterns to UK Biobank but weaker statistical differences and reduced model performance. The German cohort showed no significant group differences and lower performance. No pair of cohorts demonstrated statistical equivalence.Models trained on UK Biobank data may capture early clinical disease rather than universal prodromal markers. Prospective validation in well-characterized cohorts is essential before clinical translation. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keyword(s): Humans (MeSH) ; Parkinson Disease: diagnosis (MeSH) ; Parkinson Disease: physiopathology (MeSH) ; Prodromal Symptoms (MeSH) ; Male (MeSH) ; Female (MeSH) ; United Kingdom (MeSH) ; REM Sleep Behavior Disorder: diagnosis (MeSH) ; REM Sleep Behavior Disorder: physiopathology (MeSH) ; Wearable Electronic Devices (MeSH) ; Middle Aged (MeSH) ; Aged (MeSH) ; Accelerometry: instrumentation (MeSH) ; Germany (MeSH) ; Cohort Studies (MeSH) ; Movement: physiology (MeSH)

Classification:

Contributing Institute(s):
  1. Digital Biomarkers in Parkinson's disease (AG Sommerauer)
  2. Biomarker Parkinson's Disease (AG Wüllner)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2026
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Sommerauer
Institute Collections > BN DZNE > BN DZNE-AG Wüllner
Full Text Collection
Public records
Publications Database

 Record created 2026-09-02, last modified 2026-09-14


OpenAccess:
Download fulltext PDF Download fulltext PDF (PDFA)
External link:
Download fulltextFulltext by Pubmed Central
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)