Document Type : Research Paper I Open Access I Released under CC BY-NC 4.0 license
Authors
1 PhD Student, Motor Learning, Faculty of Physical Education and Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
2 Ferdowsi University of Mashhad (FUM), Mashhad, Iran
3 Department of Motor Behavior, Faculty of Sport Sciences, Ferdowsi University of Mashhad
Abstract
This study investigated the effects of a selected virtual reality exercise program emphasizing environmental enrichment on continuous performance and brain waves in patients with Parkinson’s disease. This was a quasi-experimental study with a pre-test/post-test with a control group. The sample consisted of 30 patients with moderate Parkinson's disease (aged 55-65) referred to outpatient rehabilitation centers in Tehran. Participants were randomly assigned to three ten-person groups (control, traditional exercise, virtual reality exercise). The tools used included virtual reality equipment, EEG for recording brain waves (delta, theta, alpha, beta, sensorimotor rhythm), and the Vienna Test System for assessing continuous performance. The training protocol consisted of 1-hour sessions over three weeks (twice weekly). The control group received no exercise, the traditional exercise group performed physical exercises, and the virtual reality group performed game-based exercises. Analysis of covariance (ANCOVA) showed significant differences between the three groups in continuous performance variables (omission errors and commission errors) and brain waves (p<0.05). Post hoc Bonferroni tests confirmed significant differences between the groups. Both the traditional and virtual reality training groups demonstrated significant differences in continuous performance and brainwave changes compared to the control group. Therefore, it can be concluded that both virtual reality and traditional exercises significantly improve continuous performance and brain waves in Parkinson's disease patients. Based on these findings, it is recommended that virtual reality technology be used as a novel and effective tool in designing rehabilitation programs for Parkinson's disease patients.
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