ArticleExperimental and therapeutic medicine2021
Improving motor function after chronic stroke by interactive gaming with a redesigned MR-compatible hand training device.
Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Integrated neuroimaging and robotic rehabilitation in chronic stroke: Neural correlates and predictors of motor recovery.Experimental and therapeutic medicine · 2025Article
- Post-stroke functional assessments based on rehabilitation games and their correlation with clinical scales: A scoping review.Medical & biological engineering & computing · 2024Article
- Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis.Journal of visualized experiments : JoVE · 2023Article
- An analysis of clinical outcomes and essential parameters for designing effective games for upper limb rehabilitation: A scoping review.Health science reports · 2023Article
- The role of ventral tegmental area in chronic stroke rehabilitation: an exploratory study.Frontiers in neurology · 2023Article
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
New rehabilitation strategies enabled by technological developments are challenging the prevailing concept of there being a limited window for functional recovery after stroke. In this study, we examined the utility of a robot-assisted therapy used in combination with a serious game as a rehabilitation and motor assessment tool in patients with chronic stroke. We evaluated 928 game rounds from 386 training sessions of 8 patients who had suffered an ischemic stroke affecting middle cerebral artery territory that incurred at least 6 months prior. Motor function was assessed with clinical motor scales, including the Fugl-Meyer upper extremity (FM UE) scale, Action Research Arm Test, Modified Ashworth scale and the Box and Blocks test. Robotic device output measures (mean force, force-position correlation) and serious game score elements (collisions, rewards and total score) were calculated. A total of 2 patients exhibited a marginal improvement after a 10-week training protocol according to the FM UE scale and an additional patient exhibited a significant improvement according to Box and Blocks test. Motor scales showed strong associations of robotic device parameters and game metrics with clinical motor scale scores, with the strongest correlations observed for the mean force (0.677<Ρ<0.869), followed by the number of collisions (-0.670<Ρ<-0.585). Linear regression analysis showed that these indices were independent predictors of motor scale scores. In conclusion, a robotic device linked to a serious game can be used by patients with chronic stroke and induce at least some clinical improvements in motor performance. Robotic device output parameters and game score elements associate strongly with clinical motor scales and have the potential to be used as predictors in models of rehabilitation progress.
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