Effect of disease, freezing of gait, and dopaminergic medication in the biomechanics of trunk and upper limbs in the gait of Parkinson's disease.

Kinematics Levodopa Motor control Movement disorders

Journal

Human movement science
ISSN: 1872-7646
Titre abrégé: Hum Mov Sci
Pays: Netherlands
ID NLM: 8300127

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 24 11 2023
revised: 17 03 2024
accepted: 02 06 2024
medline: 9 6 2024
pubmed: 9 6 2024
entrez: 8 6 2024
Statut: aheadofprint

Résumé

Parkinson's disease (PD) causes gait abnormalities that may be associated with an arm swing reduction. Medication and freezing of gait (FoG) may influence gait characteristics. However, these comparisons do not consider differences in gait speed and clinical characteristics in individuals with PD. This study aims to analyze the effect of FoG and medication on the biomechanics of the trunk and upper limbs during gait in PD, controlling for gait speed and clinical differences between groups. Twenty-two people with a clinical diagnosis of idiopathic PD in ON and OFF medication (11 FoG), and 35 healthy participants (control) were selected from two open data sets. All participants walked on the floor on a 10-m-long walkway. The joint and linear kinematic variables of gait were compared: (1) Freezers and nonfreezers in the ON condition and control; (2) Freezers and nonfreezers in the OFF condition and control; (3) Group (freezers and nonfreezers) and medication. The disease affects the upper limbs more strongly but not the trunk. The medication does not significantly influence the joint characteristics but rather the linear wrist displacement. The FoG does not affect trunk movement and partially influences the upper limbs. The interaction between medications and FoG suggests that the medication causes more substantial improvement in freezers than in nonfreezers. The study shows differences in the biomechanics of the upper limbs of people with PD, FoG, and the absence of medication. The future rehabilitation protocol should consider this aspect.

Identifiants

pubmed: 38850765
pii: S0167-9457(24)00065-4
doi: 10.1016/j.humov.2024.103242
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103242

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Emanuele Los Angeles (E)

Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.

Claudia Eunice Neves de Oliveira (CEN)

Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.

Layla Cupertino (L)

Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.

Solaiman Shokur (S)

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Mohamed Bouri (M)

The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Daniel Boari Coelho (DB)

Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil.; Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, SP, Brazil.. Electronic address: daniel.boari@ufabc.edu.br.

Classifications MeSH