Cited by 418Balance, Gait, and Falls PreventionStroke Rehabilitation and RecoveryMotor Control and Adaptation

Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson's disease?

Mirelman, A., Maidan, I., Herman, T., Deutsch, J. E., Giladi, N., Hausdorff, J. M.·2011·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences

Abstract

BACKGROUND: Gait and cognitive disturbances are common in Parkinson's disease (PD). These deficits exacerbate fall risk and difficulties with mobility, especially during complex or dual-task walking. Traditional gait training generally fails to fully address these complex gait activities. Virtual reality (VR) incorporates principles of motor learning while delivering engaging and challenging training in complex environments. We hypothesized that VR may be applied to address the multifaceted deficits associated with fall risk in PD. METHODS: Twenty patients received 18 sessions (3 per week) of progressive intensive treadmill training with virtual obstacles (TT + VR). Outcome measures included gait under usual-walking and dual-task conditions and while negotiating physical obstacles. Cognitive function and functional performance were also assessed. RESULTS: Patients were 67.1 ± 6.5 years and had a mean disease duration of 9.8 ± 5.6 years. Posttraining, gait speed significantly improved during usual walking, during dual task, and while negotiating overground obstacles. Dual-task gait variability decreased (ie, improved) and Trail Making Test times (parts A and B) improved. Gains in functional performance measures and retention effects, 1 month later, were also observed. CONCLUSIONS: To our knowledge, this is the first time that TT + VR has been used for gait training in PD. The results indicate that TT + VR is viable in PD and may significantly improve physical performance, gait during complex challenging conditions, and even certain aspects of cognitive function. These findings have important implications for understanding motor learning in the presence of PD and for treating fall risk in PD, aging, and others who share a heightened risk of falls.

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Authors
Mirelman, A., Maidan, I., Herman, T., Deutsch, J. E., Giladi, N., & Hausdorff, J. M.
Affiliations
  • Harvard University (US)
  • Tel Aviv Sourasky Medical Center (IL)
  • University of Medicine and Dentistry of New Jersey (US)
Venue
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Published
2010-11-24
Volume
66A
Issue
2
Pages
234-240
ISSN
  • 1079-5006 (ISSN-L)
  • 1758-535X
OpenAlex
W2138287676
Cited by
418
References
45
Citations by year
2026: 29 · 2025: 22 · 2024: 20 · 2023: 24 · 2022: 20 · 2021: 34 · 2020: 29 · 2019: 42 · 2018: 37 · 2017: 25 · 2016: 26 · 2015: 23 · 2014: 27 · 2013: 34 · 2012: 15
FWCI
49.35
Type
journal article
Language
en
Open access
closed
Locations
  • The Journals of Gerontology Series A (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords
virtual reality, gait training, Parkinson's disease, motor learning, dual-task walking, fall risk, treadmill training, virtual obstacles, gait variability, cognitive function, functional performance, retention effects
MeSH terms
Accidental Falls, Aged, Antiparkinson Agents, Cognition Disorders, Female, Gait, Humans, Learning, Male, Middle Aged, Parkinson Disease, Task Performance and Analysis, User-Computer Interface, Randomized Controlled Trials as Topic, Walking, Physical Therapy Modalities

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