@article{ref1,
title="Dual-task treadmill training for the prevention of falls in Parkinson's disease: rationale and study design",
journal="Frontiers in rehabilitation sciences",
year="2021",
author="Mylius, Veit and Maes, Laura and Negele, Katrin and Schmid, Christine and Sylvester, Ramona and Brook, Caroline Sharon and Brugger, Florian and Perez-Lloret, Santiago and Bansi, Jens and Aminian, Kamiar and Paraschiv-Ionescu, Anisoara and Gonzenbach, Roman and Brugger, Peter",
volume="2",
number="",
pages="e774658-e774658",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="2673-6861",
doi="10.3389/fresc.2021.774658",
url="http://dx.doi.org/10.3389/fresc.2021.774658"
}