ArticleJournal of neuroengineering and rehabilitation2025
Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.
Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Effect of upper-limb robot-assisted therapy combined with pneumatic gloves on upper limb function in young and middle-aged stroke patients: a pilot randomized controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Mechatronic Design and Development of a Lower-Limb Exoskeleton System Based on Knee Joint Biomechanical Principles Using Electro-Pneumatic Actuation with an Embedded EMG Controller for Experimental Validation in Elderly Gait Rehabilitation Support.Bioengineering (Basel, Switzerland) · 2026Article
- Stroke Rehabilitation, Novel Technology and the Internet of Medical Things.Brain sciences · 2026Review
- Transcranial Magnetic Stimulation Alleviates Spatial Learning and Memory Impairment by Inhibiting the Expression of SARM1 in Rats with Cerebral Ischemia-Reperfusion Injury.Neuromolecular medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThis prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke patients before and after robot intervention.
methodsBetween September 2020 and November 2021, stroke patients at four grade-A tertiary hospitals underwent limb rehabilitation training. Of the total of participants, 117 patients received conventional limb rehabilitation, 93 patients participated in upper-limb robot training, and 103 patients underwent lower-limb robot training. The measured outcomes included modified Barthel Index (MBI), Fugl-Meyer assessment subscale (FMA), and manual muscle testing (MMT). Functional magnetic resonance imaging (fMRI) was conducted on 30 patients to assess changes in the brain network. Data were mainly analyzed based on the Intention-to-Treat (ITT) principle.
resultsPost-interventional analysis utilizing linear mixed models in ITT analysis revealed that the robot training group had greater enhancements compared to the conventional limb rehabilitation training group. Notably, the shoulder flexor strength (P = 0.043) was significantly higher in the upper-limb group. On the other hand, hip flexor strength (P < 0.001), hip extensor strength (P < 0.001), knee extensor strength (P = 0.013), ankle dorsiflexion strength (P < 0.001) and ankle plantarflexor strength (P < 0.001) were significantly higher in the lower-limb group. In the upper-limb group, region-of-interest (ROI) -to-ROI analysis revealed enhanced functional connectivity between the left hemisphere's motor control region and the auditory network. ROI-to-ROI analysis primarily showed enhanced interhemispheric functional connectivity in the lower-limb group, specifically between right the hemisphere's motor control region (central opercular cortex) and left hemisphere's primary motor area in the precentral gyrus.
conclusionsAccording to our research findings, upper- and lower-limb rehabilitation robots demonstrated great potential in promoting motor function recovery in stroke patients. Robot-assisted training offers an alternative treatment method with comparable efficacy to traditional rehabilitation. Large-scale randomized controlled trials are needed to confirm these results.
trial registrationThe study was registered on the Chinese Clinical Trial Registry (ChiCTR1800019783).
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