Efficacy of Graded Motor Imagery in Improving Leg Rotation for Stroke Patients with Hemiplegia: A Randomized Controlled Trial

Background: Chronic stroke survivors often experience persistent lower limb dysfunction, particularly impaired leg rotation, which significantly affects mobility and gait. Graded Motor Imagery (GMI), a neuroscience-based intervention, has shown promise in upper limb rehabilitation but remains understudied for lower limb deficits. Methods: A single-blind randomized controlled trial allocated 60 chronic stroke patients (>6 months post-stroke) with hemiplegia to GMI (n=30; 3-stage protocol targeting leg rotation) or conventional therapy (n=30; task-oriented lower limb training). Outcomes included the Lower Extremity Motor Coordination Test (LEMOCOT), Kinesthetic and Visual Imagery Questionnaire (KVIQ-10), and pain (VAS) at baseline, post-intervention, and 3-month follow-up. Results: The GMI group demonstrated significantly greater improvement in LEMOCOT scores (Δ=12.3 points, p<0.001, Cohen’s d=0.89) and KVIQ-10 (Δ=7.8 points, p=0.002) compared to controls. Pain reduction was 38% in GMI versus 10% (p=0.01). Conclusion: GMI significantly enhances leg rotation and motor imagery ability in chronic stroke patients, with sustained effects at 3 months.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Science and Technology
Published
2024-09-02
DOI
https://doi.org/10.29070/tqtjwb69
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficacy of Graded Motor Imagery in Improving Leg Rotation for Stroke Patients with Hemiplegia: A Randomized Controlled Trial

N Vijay Mohan, Ravishankar Ravi
Journal of Advances in Science and Technology
Stroke Rehabilitation and Recovery
article

Efficacy of Graded Motor Imagery in Improving Leg Rotation for Stroke Patients with Hemiplegia: A Randomized Controlled Trial

N Vijay Mohan, Ravishankar Ravi
article en

Abstract

Background: Chronic stroke survivors often experience persistent lower limb dysfunction, particularly impaired leg rotation, which significantly affects mobility and gait. Graded Motor Imagery (GMI), a neuroscience-based intervention, has shown promise in upper limb rehabilitation but remains understudied for lower limb deficits. Methods: A single-blind randomized controlled trial allocated 60 chronic stroke patients (>6 months post-stroke) with hemiplegia to GMI (n=30; 3-stage protocol targeting leg rotation) or conventional therapy (n=30; task-oriented lower limb training). Outcomes included the Lower Extremity Motor Coordination Test (LEMOCOT), Kinesthetic and Visual Imagery Questionnaire (KVIQ-10), and pain (VAS) at baseline, post-intervention, and 3-month follow-up. Results: The GMI group demonstrated significantly greater improvement in LEMOCOT scores (Δ=12.3 points, p<0.001, Cohen’s d=0.89) and KVIQ-10 (Δ=7.8 points, p=0.002) compared to controls. Pain reduction was 38% in GMI versus 10% (p=0.01). Conclusion: GMI significantly enhances leg rotation and motor imagery ability in chronic stroke patients, with sustained effects at 3 months.

Journal of Advances in Science and TechnologyVol. 21(2)
CMJ University (IN), Kolhan University (IN)
Openalex Percentile: Top 67%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficacy of Graded Motor Imagery in Improving Leg Rotation for Stroke Patients with Hemiplegia: A Randomized Controlled Trial — N Vijay Mohan, Ravishankar Ravi · Journal of Advances in Science and Technology (2024) | TGRS Research Map | TGRS