Proulx Camille E, Louis Jean Manouchka T, Higgins Johanne, Gagnon Dany H, Dancause Numa
School of Rehabilitation, Faculty of Medecine, Université de Montréal, Montreal, QC, Canada.
Center for Interdisciplinary Research in Rehabilitation of Greater Montreal - Site Institut universitaire sur la réadaptation en déficience physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada.
Front Rehabil Sci. 2022 Mar 1;3:789479. doi: 10.3389/fresc.2022.789479. eCollection 2022.
Reduced hand dexterity is a common component of sensorimotor impairments for individuals after stroke. To improve hand function, innovative rehabilitation interventions are constantly developed and tested. In this context, technology-based interventions for hand rehabilitation have been emerging rapidly. This paper offers an overview of basic knowledge on post lesion plasticity and sensorimotor integration processes in the context of augmented feedback and new rehabilitation technologies, in particular virtual reality and soft robotic gloves. We also discuss some factors to consider related to the incorporation of augmented feedback in the development of technology-based interventions in rehabilitation. This includes factors related to feedback delivery parameter design, task complexity and heterogeneity of sensory deficits in individuals affected by a stroke. In spite of the current limitations in our understanding of the mechanisms involved when using new rehabilitation technologies, the multimodal augmented feedback approach appears promising and may provide meaningful ways to optimize recovery after stroke. Moving forward, we argue that comparative studies allowing stratification of the augmented feedback delivery parameters based upon different biomarkers, lesion characteristics or impairments should be advocated (e.g., injured hemisphere, lesion location, lesion volume, sensorimotor impairments). Ultimately, we envision that treatment design should combine augmented feedback of multiple modalities, carefully adapted to the specific condition of the individuals affected by a stroke and that evolves along with recovery. This would better align with the new trend in stroke rehabilitation which challenges the popular idea of the existence of an ultimate good-for-all intervention.
手部灵活性下降是中风患者感觉运动障碍的常见组成部分。为改善手部功能,人们不断开发和测试创新的康复干预措施。在此背景下,基于技术的手部康复干预措施迅速兴起。本文概述了在增强反馈和新的康复技术(特别是虚拟现实和软机器人手套)背景下,损伤后可塑性和感觉运动整合过程的基础知识。我们还讨论了在基于技术的康复干预措施开发中纳入增强反馈时需要考虑的一些因素。这包括与反馈传递参数设计、任务复杂性以及中风患者感觉缺陷的异质性相关的因素。尽管目前我们对使用新康复技术所涉及的机制理解存在局限性,但多模式增强反馈方法似乎很有前景,可能为优化中风后的恢复提供有意义的方法。展望未来,我们认为应该提倡进行比较研究,以便根据不同的生物标志物、损伤特征或损伤情况(例如受损半球、损伤位置、损伤体积、感觉运动障碍)对增强反馈传递参数进行分层。最终,我们设想治疗设计应结合多种模式的增强反馈,仔细适应中风患者的具体情况,并随着恢复情况不断发展。这将更好地符合中风康复的新趋势,该趋势挑战了存在一种适用于所有人的终极干预措施这一流行观念。