Biomechanical aspects that precede freezing episode during gait in individuals with Parkinson's disease: A systematic review.


Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
01 2022
Historique:
received: 05 06 2021
revised: 30 09 2021
accepted: 17 10 2021
pubmed: 31 10 2021
medline: 22 1 2022
entrez: 30 10 2021
Statut: ppublish

Résumé

The freezing episode (FE) management during gait in Parkinson's disease is inefficient with current medications, neurosurgery, and physical interventions. Knowing the biomechanical change patients suffer preceding FE would be the ultimate goal to measure, predict, and prevent these events. We performed a systematic review to summarize the kinematic, kinetic, electromyographic, and spatio-temporal characteristics of the events that precede the FE during gait in Parkinson's disease. Databases searched included PubMed, Embase, and Cochrane and between 2001 to August 2021. The present study was a systematic review registered in the PROSPERO database (CRD42021255082). Three reviewers searched and selected studies with methodologies involving biomechanical changes and kinetic, kinematic, electromyography, and spatiotemporal changes before FE in a patient with Parkinson's disease. The relevant articles that show the events preceding FE in patients with PD were identified. We excluded studies that describe or compare methods or algorithms to detect FE. Studies may include participants with all PD severity, time of disease, and age. We selected ten articles for final evaluation. The most consistent results indicate a dramatic reduction of movement excursions with (1) decrease in stride length; (2) decreased gait speed; (3) postural instability with the increased double support phase; (4) incoordination of anterior tibial and gastrocnemius; (5) larger amplitude in the EMG of biceps femoris; (6) decreased range of motion in the sagittal plane at the ankle and hip joints; and (7) anterior pelvic tilt. FE is characterized by complex motor patterns than normal gait and mismatched gains in the perception and execution of the ongoing movement.

Sections du résumé

BACKGROUND
The freezing episode (FE) management during gait in Parkinson's disease is inefficient with current medications, neurosurgery, and physical interventions. Knowing the biomechanical change patients suffer preceding FE would be the ultimate goal to measure, predict, and prevent these events.
OBJECTIVE
We performed a systematic review to summarize the kinematic, kinetic, electromyographic, and spatio-temporal characteristics of the events that precede the FE during gait in Parkinson's disease.
LITERATURE SURVEY
Databases searched included PubMed, Embase, and Cochrane and between 2001 to August 2021.
METHODOLOGY
The present study was a systematic review registered in the PROSPERO database (CRD42021255082). Three reviewers searched and selected studies with methodologies involving biomechanical changes and kinetic, kinematic, electromyography, and spatiotemporal changes before FE in a patient with Parkinson's disease. The relevant articles that show the events preceding FE in patients with PD were identified. We excluded studies that describe or compare methods or algorithms to detect FE. Studies may include participants with all PD severity, time of disease, and age.
SYNTHESIS
We selected ten articles for final evaluation. The most consistent results indicate a dramatic reduction of movement excursions with (1) decrease in stride length; (2) decreased gait speed; (3) postural instability with the increased double support phase; (4) incoordination of anterior tibial and gastrocnemius; (5) larger amplitude in the EMG of biceps femoris; (6) decreased range of motion in the sagittal plane at the ankle and hip joints; and (7) anterior pelvic tilt.
CONCLUSION
FE is characterized by complex motor patterns than normal gait and mismatched gains in the perception and execution of the ongoing movement.

Identifiants

pubmed: 34717288
pii: S0966-6362(21)00551-8
doi: 10.1016/j.gaitpost.2021.10.021
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

149-154

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Layla Cupertino (L)

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

Tatiana Gonçalves Dos Reis (TG)

Federal University of São Paulo, São Paulo, SP, Brazil.

Emanuele Los Angeles (E)

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

Thaisy Moraes Costa (TM)

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

École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Andrea C de Lima-Pardini (AC)

Laboratory of Integrative Motor Behaviour, Centre for Neuroscience Studies, Queen's University, Ontario, Canada.

Daniel Boari Coelho (DB)

Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, SP, Brazil. Electronic address: daniel.boari@ufabc.edu.br.

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Classifications MeSH