Effect of freezing of gait and dopaminergic medication in the biomechanics of lower limbs in the gait of patients with Parkinson's disease compared to neurologically healthy.


Journal

Neuroscience letters
ISSN: 1872-7972
Titre abrégé: Neurosci Lett
Pays: Ireland
ID NLM: 7600130

Informations de publication

Date de publication:
29 05 2023
Historique:
received: 17 02 2023
revised: 10 04 2023
accepted: 11 04 2023
medline: 28 4 2023
pubmed: 16 4 2023
entrez: 15 4 2023
Statut: ppublish

Résumé

This study aims to evaluate the effects of medication, and the freezing of gait (FoG) on the kinematic and kinetic parameters of gait in people with Parkinson's disease (pwPD) compared to neurologically healthy. Twenty-two people with a clinical diagnosis of idiopathic PD in ON and OFF medication (11 FoG), and 18 healthy participants (control) were selected from two open data sets. All participants walked on the floor on a 10-meter-long walkway. The joint kinematic and ground reaction forces (GRF) variables of gait and the clinical characteristics were compared: (1) PD with FoG (pwFoG) and PD without FoG (pwoFoG) in the ON condition and control; (2) PD with FoG and PD without FoG in the OFF condition and control; (3) Group (PD with FoG and PD without FoG) and Medication. (1) FoG mainly affects distal joints, such as the ankle and knee; (2) PD ON showed changes in the range of motion of both distal and proximal joints, which may explain the increase in step length and gait speed expected with the use of L-Dopa; and (3) the medication showed improvements in the kinematic and kinetic parameters of the gait of people with pwFoG and pwoFoG equally; (4) pwPD showed a smaller second peak of the vertical component of the GRF than the control. The presence of FoG mainly affects distal joints, such as the ankle and knee. PD presents a lower application of GRF during the impulse period than healthy people, causing lower gait performances.

Identifiants

pubmed: 37061024
pii: S0304-3940(23)00209-4
doi: 10.1016/j.neulet.2023.137250
pii:
doi:

Substances chimiques

Dopamine Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

137250

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Thiago Kenzo Fujioka Shida (TKF)

Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, SP, Brazil.

Claudia Eunice Neves de Oliveira (CEN)

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

Débora da Silva Fragoso de Campos (D)

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

Emanuele Los Angeles (E)

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

Claudionor Bernardo (C)

Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, SP, Brazil.

Luana Dos Santos de Oliveira (L)

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

Layla Cupertino Salloum E Silva (LC)

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

Thayna Magalhães Novaes (TM)

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)

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

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Classifications MeSH