Trial reportFrontiers in neurology2026
Clinical efficacy and cortical network modulation of a multimodal sensory feedback upper-limb rehabilitation robot for post-stroke upper-limb recovery: a randomized controlled trial.
Trial report in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Background: Recovery of upper-limb motor function after stroke often requires intensive, repetitive, task-oriented rehabilitation. Multimodal sensory-feedback robot-assisted training has the potential to enhance patient engagement and sensorimotor integration, and thereby improve rehabilitation outcomes. Aim: To investigate the clinical and neurophysiological effects of adding multimodal sensory-feedback robot-assisted training to conventional rehabilitation for post-stroke upper-limb recovery using functional near-infrared spectroscopy (fNIRS). Methods: A total of 38 stroke patients were randomly assigned to a control group (conventional rehabilitation, Results: No significant between-group difference in FMA-UE was observed at baseline ( Conclusion: Adding multimodal sensory-feedback robot-assisted training to dose-matched conventional rehabilitation may improve short-term post-stroke upper-limb motor recovery. fNIRS further revealed intervention-related changes in cortical activation and resting-state functional connectivity. Clinical trial registration: Identifier, ChiCTR2400080101.
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