Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial
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arXiv
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| Autores principales: | , , , , , , , , , , , |
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| Formato: | Preprint |
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2025
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| _version_ | 1866912680904753152 |
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| author | Farrens, Andria J. Garcia-Fernandez, Luis Rojas, Raymond Diaz Estrada, Jillian Obeso Reinsdorf, Dylan Chan, Vicky Gupta, Disha Perry, Joel Wolbrecht, Eric Do, An Cramer, Steven C. Reinkensmeyer, David J. |
| author_facet | Farrens, Andria J. Garcia-Fernandez, Luis Rojas, Raymond Diaz Estrada, Jillian Obeso Reinsdorf, Dylan Chan, Vicky Gupta, Disha Perry, Joel Wolbrecht, Eric Do, An Cramer, Steven C. Reinkensmeyer, David J. |
| contents | Precision rehabilitation aims to tailor movement training to improve outcomes. We tested whether proprioceptively-tailored robotic training improves hand function and neural processing in stroke survivors. Using a robotic finger exoskeleton, we tested two proprioceptively-tailored approaches: Propriopixel Training, which uses robot-facilitated, gamified movements to enhance proprioceptive processing, and Virtual Assistance Training, which reduces robotic aid to increase reliance on self-generated feedback. In a randomized controlled trial, forty-six chronic stroke survivors completed nine 2-hour sessions of Standard, Propriopixel or Virtual training. Among participants with proprioceptive deficits, Propriopixel ((Box and Block Test: 7 +/- 4.2, p=0.002) and Virtual Assistance (4.5 +/- 4.4 , p=0.068) yielded greater gains in hand function (Standard: 0.8 +/- 2.3 blocks). Proprioceptive gains correlated with improvements in hand function. Tailored training enhanced neural sensitivity to proprioceptive cues, evidenced by a novel EEG biomarker, the proprioceptive Contingent Negative Variation. These findings support proprioceptively-tailored training as a pathway to precision neurorehabilitation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_00259 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial Farrens, Andria J. Garcia-Fernandez, Luis Rojas, Raymond Diaz Estrada, Jillian Obeso Reinsdorf, Dylan Chan, Vicky Gupta, Disha Perry, Joel Wolbrecht, Eric Do, An Cramer, Steven C. Reinkensmeyer, David J. Robotics Emerging Technologies Human-Computer Interaction Precision rehabilitation aims to tailor movement training to improve outcomes. We tested whether proprioceptively-tailored robotic training improves hand function and neural processing in stroke survivors. Using a robotic finger exoskeleton, we tested two proprioceptively-tailored approaches: Propriopixel Training, which uses robot-facilitated, gamified movements to enhance proprioceptive processing, and Virtual Assistance Training, which reduces robotic aid to increase reliance on self-generated feedback. In a randomized controlled trial, forty-six chronic stroke survivors completed nine 2-hour sessions of Standard, Propriopixel or Virtual training. Among participants with proprioceptive deficits, Propriopixel ((Box and Block Test: 7 +/- 4.2, p=0.002) and Virtual Assistance (4.5 +/- 4.4 , p=0.068) yielded greater gains in hand function (Standard: 0.8 +/- 2.3 blocks). Proprioceptive gains correlated with improvements in hand function. Tailored training enhanced neural sensitivity to proprioceptive cues, evidenced by a novel EEG biomarker, the proprioceptive Contingent Negative Variation. These findings support proprioceptively-tailored training as a pathway to precision neurorehabilitation. |
| title | Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial |
| topic | Robotics Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2511.00259 |