<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Brangaccio, Jodi A</style></author><author><style face="normal" font="default" size="100%">Gupta, Disha</style></author><author><style face="normal" font="default" size="100%">Mojtabavi, Helia</style></author><author><style face="normal" font="default" size="100%">Hardesty, Russell L</style></author><author><style face="normal" font="default" size="100%">Hill, NJ</style></author><author><style face="normal" font="default" size="100%">Carp, Jonathan S</style></author><author><style face="normal" font="default" size="100%">Gemoets, Darren E</style></author><author><style face="normal" font="default" size="100%">Vaughan, Theresa M</style></author><author><style face="normal" font="default" size="100%">Norton, James JS</style></author><author><style face="normal" font="default" size="100%">Perez, Monica A</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Soleus H-reflex size versus stimulation rate in the presence of background muscle activity: a methodological study</style></title><secondary-title><style face="normal" font="default" size="100%">Experimental brain research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2025</style></year></dates><volume><style face="normal" font="default" size="100%">243</style></volume><pages><style face="normal" font="default" size="100%">215</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Hoffmann reflex (HR) operant conditioning (HROC) is an important intervention for neurorehabilitation. Current HROC paradigms elicit HRs at low rates (~ 0.2 Hz), minimizing rate-dependent depression (RDD). We investigated the impact of higher stimulation rates on HR size. Fifteen healthy participants maintained low background soleus electromyographic activity (EMG) while standing. Soleus HR and M-wave recruitment curves were obtained at rates of 0.2, 1, and 2 Hz twice, from which Mmax and Hmax were calculated. Seventy-five HRs were collected for each rate at a target M-wave size (~ 10 to 20% of Mmax). HR depression was minimal at higher stimulation rates. The mean HR amplitude was reliable across the two repetitions and three rates, with high intraclass correlation coefficient (ICC) values. HROC could be performed consistently at rates up to 2 Hz with minimal HR depression. Faster rates enable more conditioning trials per session, reducing session duration and/or number, thereby potentially accelerating conditioning and reducing participant burden.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Farrens, Andria J</style></author><author><style face="normal" font="default" size="100%">Garcia-Fernandez, Luis</style></author><author><style face="normal" font="default" size="100%">Rojas, Raymond Diaz</style></author><author><style face="normal" font="default" size="100%">Estrada, Jillian Obeso</style></author><author><style face="normal" font="default" size="100%">Reinsdorf, Dylan</style></author><author><style face="normal" font="default" size="100%">Chan, Vicky</style></author><author><style face="normal" font="default" size="100%">Gupta, Disha</style></author><author><style face="normal" font="default" size="100%">Perry, Joel</style></author><author><style face="normal" font="default" size="100%">Wolbrecht, Eric</style></author><author><style face="normal" font="default" size="100%">Do, An</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Tailored robotic training improves hand function and proprioceptive processing in stroke survivors with proprioceptive deficits: A randomized controlled trial</style></title><secondary-title><style face="normal" font="default" size="100%">arXiv preprint arXiv:2511.00259</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2025</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Blenkmann, Alejandro Omar</style></author><author><style face="normal" font="default" size="100%">Leske, Sabine Liliana</style></author><author><style face="normal" font="default" size="100%">Llorens, Anaïs</style></author><author><style face="normal" font="default" size="100%">Lin, Jack J</style></author><author><style face="normal" font="default" size="100%">Chang, Edward F</style></author><author><style face="normal" font="default" size="100%">Brunner, Peter</style></author><author><style face="normal" font="default" size="100%">Schalk, Gerwin</style></author><author><style face="normal" font="default" size="100%">Ivanovic, Jugoslav</style></author><author><style face="normal" font="default" size="100%">Larsson, Pål Gunnar</style></author><author><style face="normal" font="default" size="100%">Knight, Robert Thomas</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Neuroscience Methods</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><volume><style face="normal" font="default" size="100%">404</style></volume><pages><style face="normal" font="default" size="100%">110056</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Demarest, Phillip</style></author><author><style face="normal" font="default" size="100%">Rustamov, Nabi</style></author><author><style face="normal" font="default" size="100%">Swift, James</style></author><author><style face="normal" font="default" size="100%">Xie, Tao</style></author><author><style face="normal" font="default" size="100%">Adamek, Markus</style></author><author><style face="normal" font="default" size="100%">Cho, Hohyun</style></author><author><style face="normal" font="default" size="100%">Wilson, Elizabeth</style></author><author><style face="normal" font="default" size="100%">Han, Zhuangyu</style></author><author><style face="normal" font="default" size="100%">Belsten, Alexander</style></author><author><style face="normal" font="default" size="100%">Luczak, Nicholas</style></author><author><style face="normal" font="default" size="100%">others</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study</style></title><secondary-title><style face="normal" font="default" size="100%">Scientific reports</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">3433</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>