Coordination Rigidity in the Gait, Posture, and Speech of Persons with Parkinson's Disease.


Journal

Journal of motor behavior
ISSN: 1940-1027
Titre abrégé: J Mot Behav
Pays: United States
ID NLM: 0236512

Informations de publication

Date de publication:
2023
Historique:
medline: 26 6 2023
pubmed: 1 6 2023
entrez: 31 5 2023
Statut: ppublish

Résumé

Parkinson's disease (PD) is associated with reduced coordination abilities. These can result either in random or rigid patterns of movement. The latter, described here as coordination rigidity (CR), have been studied less often. We explored whether CR was present in gait, quiet stance, and speech-tasks involving coordination among multiple joints and muscles. Kinematic and voice recordings were used to compute measures describing the dynamics of systems with multiple degrees of freedom and nonlinear interactions. After clinical evaluation, patients with moderate stage PD were compared against matched healthy participants. In the PD group, gait dynamics was associated with decreased dynamic divergence-lower instability-in the vertical axis. Postural fluctuations were associated with increased regularity in the anterior-posterior axis, and voice dynamics with increased predictability, all consistent with CR. The clinical relevance of CR was confirmed by showing that some of those features contribute to disease classification with supervised machine learning (82/81/85% accuracy/sensitivity/specificity).

Identifiants

pubmed: 37257844
doi: 10.1080/00222895.2023.2217100
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

394-409

Auteurs

Dobromir Dotov (D)

Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Canada.

Valérie Cochen de Cock (V)

Clinique Beau Soleil and CHU, Hôpital St Eloi, Montpellier, France.
EuroMov Digital Health in Motion, Université de Montpellier, Montpellier, France.

Valérie Driss (V)

Clinical Investigation Centre (CIC) 1411, University Hospital of Montpellier & Inserm, Montpellier, France.

Benoît Bardy (B)

EuroMov Digital Health in Motion, Université de Montpellier, Montpellier, France.
Institut Universitaire de France (IUF), Paris, France.

Simone Dalla Bella (S)

EuroMov Digital Health in Motion, Université de Montpellier, Montpellier, France.
International Laboratory for Brain, Music, and Sound Research (BRAMS) and Department of Psychology, University of Montreal, Montreal, Canada.

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Classifications MeSH