Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design.
Parkinson's disease
augmented reality
dual tasking
executive function
random number generation
treadmill
Journal
Frontiers in rehabilitation sciences
ISSN: 2673-6861
Titre abrégé: Front Rehabil Sci
Pays: Switzerland
ID NLM: 9918227358906676
Informations de publication
Date de publication:
2021
2021
Historique:
received:
12
09
2021
accepted:
22
12
2021
entrez:
3
10
2022
pubmed:
4
10
2022
medline:
4
10
2022
Statut:
epublish
Résumé
Various factors, such as fear of falling, postural instability, and altered executive function, contribute to the high risk of falling in Parkinson's disease (PD). Dual-task training is an established method to reduce this risk. Motor-perceptual task combinations typically require a patient to walk while simultaneously engaging in a perceptual task. Motor-executive dual-tasking (DT) combines locomotion with executive function tasks. One augmented reality treadmill training (AR-TT) study revealed promising results of a perceptual dual-task training with a markedly reduced frequency of falls especially in patients with PD. We here propose to compare the effects of two types of concurrent tasks, perceptual and executive, on high-intensity TT). Patients will be trained with TT alone, in combination with an augmented reality
Identifiants
pubmed: 36188827
doi: 10.3389/fresc.2021.774658
pmc: PMC9397829
doi:
Types de publication
Journal Article
Langues
eng
Pagination
774658Informations de copyright
Copyright © 2022 Mylius, Maes, Negele, Schmid, Sylvester, Brook, Brugger, Perez-Lloret, Bansi, Aminian, Paraschiv-Ionescu, Gonzenbach and Brugger.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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