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Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design.
Wissenschaftlicher Artikel/Review - 02.03.2022
Mylius Veit, Maes Laura, Negele Katrin, Schmid Christine, Sylvester Ramona, Brook Caroline Sharon, Brugger Florian, Perez-Lloret Santiago, Bansi Jens, Aminian Kamiar, Paraschiv-Ionescu Anisoara, Gonzenbach Roman, Brugger Peter
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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 DT (AR-TT) or with an DT (Random Number Generation; RNG-TT). The results are expected to inform research on therapeutic strategies for the training of balance in PD.