Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic
Yong Yu1, Wenhao Huang1, Halikejiang Tuerxun2
1Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat- Sen University, Guangzhou, China.
Background:
Stroke is a leading cause of long-term disability, with lower limb dysfunction being a common sequela that significantly impacts patients' mobility and quality of life. Robotic-assisted training has emerged as a promising intervention for gait rehabilitation post-stroke. This study aims to compare the effects of active and passive lower limb robotic training on gait recovery in stroke patients.
Methods:
This randomized controlled trial included 45 stroke patients who were divided into three groups: active mode group, passive mode group, and control group. All participants received standard rehabilitation therapy, while the intervention groups additionally received 20 min of robotic training (active or passive mode) daily for 10 sessions over two weeks. Outcome measures included the Fugl-Meyer Assessment (FMA) for motor function, motor evoked potentials (MEP) for neurophysiological assessment, and functional near-infrared spectroscopy (fNIRS) for brain imaging.
Results:
Both active and passive groups showed significant improvements in FMA scores and MEP measures compared to pre-treatment baselines (P < 0.01). The active group exhibited significantly greater FMA score improvements (P = 0.02) and MEP amplitudes (P < 0.01) than the passive group. Additionally, fNIRS results indicated significantly enhanced brain activation in the affected motor cortex in the active group post-treatment (F = 5.82, P = 0.026), a change not observed in the passive group. These findings underscore the clinical superiority of active robotic training in enhancing motor recovery post-stroke.
Conclusion:
Active mode robotic training is more effective than passive mode training in improving motor function and neurophysiological outcomes in stroke patients. These findings support the preferential use of active mode robotic training in clinical rehabilitation settings for enhancing gait recovery post-stroke. Further research with larger sample sizes and longer follow-up periods is warranted to confirm these results and explore long-term benefits.
