Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design

Autor: Veit Mylius, Laura Maes, Katrin Negele, Christine Schmid, Ramona Sylvester, Caroline Sharon Brook, Florian Brugger, Santiago Perez-Lloret, Jens Bansi, Kamiar Aminian, Anisoara Paraschiv-Ionescu, Roman Gonzenbach, Peter Brugger
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Rehabilitation Sciences, Vol 2 (2022)
Druh dokumentu: article
ISSN: 2673-6861
DOI: 10.3389/fresc.2021.774658
Popis: 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 perceptual DT (AR-TT) or with an executive DT (Random Number Generation; RNG-TT). The results are expected to inform research on therapeutic strategies for the training of balance in PD.
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