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Updated: Jan 17, 2026
A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
Published on: May 16, 2025
Differential Neuronal Network Remodeling Induced by Passive and Assistive Lower-Limb Exoskeleton Robot Training in
1Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China; Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, 999077, China.
Objectives:
To investigate differences in neuronal network remodeling induced by passive and assistive therapies of lower-limb exoskeleton robots training and their respective impacts on clinical outcomes in stroke rehabilitation.
Design:
A double-blind randomized controlled trial.
Setting:
Rehabilitation medicine department in a tertiary hospital.
Participants:
Fifty-three (N=53) adult patients with lower-limb motor dysfunction after the first stroke.
Interventions:
Patients were randomly allocated to either a passive therapy group (PG, n=24) or assistive therapy group (AG, n=29). Both groups received lower-limb exoskeleton robot training for 20 minutes, twice daily, over a 14-day intervention period.
Main Outcome Measures:
Primary outcomes included wavelet phase coherence (WPCO) and information flow (IF), both derived from wavelet transform of hemodynamic signals measured by functional near-infrared spectroscopy, to characterize neuro-specific changes in brain network connectivity. Secondary outcomes comprised the Fugl-Meyer Assessment for the Lower Extremity, Modified Barthel Index, Berg Balance Scale, and Functional Ambulation Category Scale.
Results:
Passive therapy significantly increased WPCO value in ipsilesional primary motor cortex (P=.02) and reduced intrahemispheric IF. In contrast, assistive therapy significantly increased WPCO in occipital cortex (P=.047) and enhanced IF within the contralesional hemisphere. Correlation analysis indicated that the 14-day improvement in Fugl-Meyer Assessment for the Lower Extremity scores were positively correlated with WPCO changes in the PG (r=.560; P=.016), but negatively correlated in the AG (r=-.542; P=.008).
Conclusions:
These findings provide evidence that passive and assistive therapies produce different neurovascular coupling responses that directly affect clinical outcomes in patients with stroke. Direct assistive therapy may induce compensatory neural activity, which could influence the effectiveness of rehabilitation. In contrast, passive therapy promotes interhemispheric motor network balanced and should be considered a foundational intervention before the application of assistive therapy.
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