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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
14.8K
Gait dysfunction as an early marker of phenoconversion in REM sleep behavior disorder
Wiebke Hermann1,2, Aleyna Sankutlu3, Lydia Nabers4
1Department of Neurology, University Medical Center Rostock, University of Rostock, Schillingallee 35, 18147, Rostock, Germany. wiebke.hermann@med.uni-rostock.de.
Scientific Reports
|February 9, 2026
Summary
Gait analysis can predict Parkinson's disease progression in individuals with isolated REM Sleep Behavior Disorder (iRBD). Specific gait rhythm changes in iRBD patients indicate an increased risk of developing Parkinson's disease.
Area of Science:
- Neurology
- Sleep Medicine
- Movement Disorders
Background:
- Clinical isolated REM Sleep Behavior Disorder (iRBD) is a recognized prodromal stage for α-synucleinopathies, including Parkinson's disease (PD).
- Longitudinal gait changes as a marker for phenoconversion in iRBD remain under-investigated.
- Objective motor assessments are crucial for early detection and monitoring of neurodegenerative disease progression.
Purpose of the Study:
- To systematically evaluate longitudinal gait changes in iRBD patients as potential markers of phenoconversion.
- To differentiate gait patterns between iRBD patients, healthy controls, and early-stage PD patients.
- To identify gait parameters predictive of imminent phenoconversion in iRBD.
Main Methods:
- A cohort of 21 iRBD patients, 19 healthy controls, and 14 early-stage PD patients (Hoehn & Yahr stages I-III) were assessed.
- Gait parameters were measured at baseline using a pressure-sensor walkway (GAITRite).
- Statistical analyses compared gait characteristics across groups and identified predictors of phenoconversion.
Main Results:
- iRBD patients exhibited significantly reduced normalized gait velocity and walking endurance compared to controls.
- Gait rhythm parameters, specifically single support duration, effectively distinguished PD patients from both iRBD patients and controls.
- iRBD patients at high risk of imminent phenoconversion (within ~3.7 years) were identifiable through distinct gait rhythm parameters, including single support.
Conclusions:
- Gait analysis, particularly rhythm parameters, shows significant potential for identifying iRBD patients at high risk of phenoconversion to PD.
- Objective gait assessment can serve as a valuable tool for monitoring motor function and predicting disease progression in iRBD.
- Future multicenter trials incorporating gait analysis are recommended to validate these findings and establish its role in clinical practice.
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