Body-weight-supported gait training with virtual reality for people after stroke
Official title: A Comparative Evaluation of the Effectiveness of Body Weight-Supported Forward and Backward Gait Training Versus Virtual Reality-Assisted Gait Training in Patients With Stroke
Run by Gaziler Physical Medicine and Rehabilitation Education and Research Hospital · NCT07550270 · Data updated 2026-11-12
This test tries to see if adding virtual-reality dual-task practice to body-weight-supported walking helps people after stroke improve their walking, balance, and thinking more than forward or backward walking training.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 45 Years to 75 Years |
| Sex | All |
| Enrollment | 30 (estimated) |
| Sponsor | Gaziler Physical Medicine and Rehabilitation Education and Research Hospital Academic / other |
| Locations | 1 site (Ankara, Çankaya) |
| Status | Recruiting |
| Started | March 26, 2026 |
| Main results expected | November 2026 |
| Study ends | December 2026 |
| Registry record updated | April 24, 2026 |
| Trial ID | NCT07550270 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are people with a first-ever stroke more than two weeks ago who can stand for at least two minutes, can walk 10 meters with or without assistance, have MMSE scores above 23, Brunnstrom lower-extremity stage >2, and lower-extremity spasticity below grade 3 on the Modified Ashworth Scale.
✕Probably not a fit
People with bilateral hemispheric lesions, severe cardiovascular or musculoskeletal conditions that prevent participation, high spasticity, substantial cognitive impairment, or who cannot safely stand or walk are unlikely to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional comparison gives people after a first stroke body-weight-supported walking practice either with virtual-reality dual-task exercises or with forward/backward walking training. Participants must be able to stand briefly and walk about 10 meters, have reasonably preserved cognition, and have limited lower-extremity spasticity. The study measures gait parameters (step length, speed), balance, overall functional capacity, cognitive function, and psychological status to compare effects across approaches. Results are intended to guide more effective rehabilitation strategies for improving mobility after stroke.
Why it matters
Potential benefit: If successful, combining body-weight support with virtual-reality dual-task practice could lead to safer, faster walking, better balance, and improved cognitive-motor performance during walking for people after stroke.
How similar studies have gone: Previous work shows that virtual-reality–assisted gait training and backward-walking exercises can each improve gait and engagement, but direct head-to-head comparisons of VR dual-task versus backward walking are limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients experiencing their first-ever stroke * Patients with a post-stroke duration of more than 2 weeks * Patients with plantar flexor muscle spasticity of the lower extremity less than grade 3 according to the Modified Ashworth Scale (MAS) * Patients with a Brunnstrom stage of the lower extremity greater than 2 * Patients who are able to stand independently or under supervision for at least 2 minutes for standing assessments * Patients who are able to walk at least 10 meters independently or under supervision, with or without an assistive device, for walking assessments * Patients with sufficient cognitive function to understand study instructions (Mini-Mental State Examination \[MMSE\] score \> 23) * Patients with stable medical and psychological conditions * Patients who are willing to participate in the study Exclusion Criteria: * Patients with bilateral hemispheric lesions * Patients with severe cardiovascular or musculoskeletal conditions that prevent walking (e.g., fixed ankle contracture) * Patients using a permanent urinary catheter, or those with pressure ulcers or urinary and/or fecal incontinence * Patients with unilateral neglect * Patients with neurological conditions other than stroke that may affect balance performance (e.g., Parkinson's disease, epilepsy, meningitis, cerebellar disorders, vertigo, dizziness, polyneuropathy) or musculoskeletal disorders (e.g., severe low back pain, knee disorders) * Patients with severe visual, hearing, or speech impairments
Where it's running
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Ankara, Çankaya, Türkiye (Türkiye), 06800 Gaziler Physical Medicine and Rehabilitation Training And Research Hospital
Ankara, Çankaya, Turkey (Türkiye) Recruiting
Study contacts
- Principal investigator: Tuğba ATAN, Associate Professor, MD — Gaziler Physical Medicine and Rehabilitation Training And Research Hospital
- Study coordinator: Irem ERTORAN INAN, MD
- Email: irem.ertoran@gmail.com
- Phone: 03122912422
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Improving walking symmetry after stroke with treadmill resistance and sensory feedback
This one-time test tries treadmill resistance plus real-time visual or auditory feedback to see if it improves leg push-off and walking symmetry in adults who had a stroke, compared with healthy adults.
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Combining rTMS and aerobic exercise to reduce depression and improve walking after stroke
This study will try combining repetitive transcranial magnetic stimulation (rTMS) with treadmill aerobic exercise to see if it reduces depression and improves walking in people 12–60 months after a stroke.
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Control strategies for wearable lower-limb rehabilitation robots
This tests three different robot control strategies during short overground walks for adults who had a stroke at least three months ago.
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Deep phenotyping to explore recovery in young adults after stroke
This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.
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Stem cell therapy for chronic stroke recovery
This study is testing whether using a patient's own stem cells can help people with long-term stroke recovery feel better and improve their daily functioning.
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AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals
This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.