{"ID":2847778,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.00259","arxiv_id":"2511.00259","title":"Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial","abstract":"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.","short_abstract":"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, whi...","url_abs":"https://arxiv.org/abs/2511.00259","url_pdf":"https://arxiv.org/pdf/2511.00259v1","authors":"[\"Andria J. Farrens\",\"Luis Garcia-Fernandez\",\"Raymond Diaz Rojas\",\"Jillian Obeso Estrada\",\"Dylan Reinsdorf\",\"Vicky Chan\",\"Disha Gupta\",\"Joel Perry\",\"Eric Wolbrecht\",\"An Do\",\"Steven C. Cramer\",\"David J. Reinkensmeyer\"]","published":"2025-10-31T21:06:42Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.ET\",\"cs.HC\"]","methods":"[]","has_code":false}