Mylius, VeitMaes, LauraNegele, KatrinSchmid, ChristineSylvester, RamonaBrook, Caroline SharonBrugger, FlorianPerez-Lloret, SantiagoBansi, JensAminian, KamiarParaschiv-Ionescu, AnisoaraGonzenbach, RomanBrugger, Peter2023-07-032023-07-032023-07-032022-03-0210.3389/fresc.2021.774658https://infoscience.epfl.ch/handle/20.500.14299/198763WOS:001011492300001Various 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.Rehabilitationdual taskingaugmented realitytreadmillparkinson's diseaserandom number generationexecutive functionexercisemotorgaitinterferencecapacityinformationperformancedeficitsimprovetext::journal::journal article::research article