Author ORCID Identifier
Document Type
Article
Publication Date
1-17-2022
Abstract
Background
Subtle gait changes associated with idiopathic rapid eye movement sleep behavior disorder (iRBD) could allow early detection of subjects with future synucleinopathies.
Objective
The aim of this study was to create a multiclass model, using statistical learning from probability distribution of gait parameters, to distinguish between patients with iRBD, healthy control subjects (HCs), and patients with Parkinson's disease (PD).
Methods
Gait parameters were collected in 21 participants with iRBD, 21 with PD, and 21 HCs, matched for age, sex, and education level. Lasso sparse linear regression explored gait features able to classify the three groups.
Results
The final model classified iRBD from HCs and from patients with PD equally well, with 95% accuracy, 100% sensitivity, and 90% specificity.
Conclusions
Gait parameters and a pretrained statistical model can robustly distinguish participants with iRBD from HCs and patients with PD. This could be used to screen subjects with future synucleinopathies in the general population and to identify a conversion threshold to PD. © 2022 International Parkinson and Movement Disorder Society
DOI
https://doi.org/10.1002/mds.28894
Journal Title
Movement Disorders
Volume
37
Issue
4
First Page
742
Last Page
746
Recommended Citation
Cochen De Cock, V., Dotov, D., Lacombe, S., Picot, M.C., Galtier, F., Driss, V., Giovanni, C., Geny, C., Abril, B., Damm, L. and Janaqi, S. (2022), Classifying Idiopathic Rapid Eye Movement Sleep Behavior Disorder, Controls, and Mild Parkinson's Disease Using Gait Parameters. Mov Disord, 37: 842-846. https://doi.org/10.1002/mds.28894
Comments
"This is the peer reviewed version of the following article: Classifying Idiopathic Rapid Eye Movement Sleep Behavior Disorder, Controls, and Mild Parkinson's Disease Using Gait Parameters., which has been published in final form at https://doi.org/10.1002/mds.28894. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited."