Tran Duc A, Pajaro-Blazquez Marta, Daneault Jean-Francois, Gallegos Jaime G, Pons Jose, Fregni Felipe, Bonato Paolo, Zafonte Ross
From the Department of Physical Medicine and Rehabilitation, Harvard Medical School, Charlestown, Massachusetts (DAT, J-FD, FF, PB, RZ); University Hospital Virgen del Rocío, Seville, Spain (MP-B); Washington Hospital Center, Washington, DC (JGG); and Cajal Institute, Spanish National Research Council, Madrid, Spain (JP).
Am J Phys Med Rehabil. 2016 Jun;95(6):459-74. doi: 10.1097/PHM.0000000000000438.
Despite aggressive conventional therapy, lasting hemiplegia persists in a large percentage of stroke survivors. The aim of this article is to critically review the rationale behind targeting multiple sites along the motor learning network by combining robotic therapy with pharmacotherapy and virtual reality-based reward learning to alleviate upper extremity impairment in stroke survivors. Methods for personalizing pharmacologic facilitation to each individual's unique biology are also reviewed. At the molecular level, treatment with levodopa was shown to induce long-term potentiation-like and practice-dependent plasticity. Clinically, trials combining conventional therapy with levodopa in stroke survivors yielded statistically significant but clinically unconvincing outcomes because of limited personalization, standardization, and reproducibility. Robotic therapy can induce neuroplasticity by delivering intensive, reproducible, and functionally meaningful interventions that are objective enough for the rigors of research. Robotic therapy also provides an apt platform for virtual reality, which boosts learning by engaging reward circuits. The future of stroke rehabilitation should target distinct molecular, synaptic, and cortical sites through personalized multimodal treatments to maximize motor recovery.
尽管采用了积极的传统疗法,但仍有很大比例的中风幸存者持续存在永久性偏瘫。本文的目的是批判性地回顾通过将机器人疗法与药物疗法以及基于虚拟现实的奖励学习相结合,针对运动学习网络中的多个部位进行治疗,以减轻中风幸存者上肢损伤的基本原理。还回顾了根据个体独特生物学特性定制药物促进疗法的方法。在分子水平上,左旋多巴治疗被证明可诱导长期增强样和依赖练习的可塑性。临床上,在中风幸存者中将传统疗法与左旋多巴相结合的试验,由于个性化、标准化和可重复性有限,虽然在统计学上有显著结果,但在临床上并不令人信服。机器人疗法可以通过提供密集、可重复且具有功能意义的干预措施来诱导神经可塑性,这些干预措施对于严格的研究来说足够客观。机器人疗法还为虚拟现实提供了一个合适的平台,通过激活奖励回路来促进学习。中风康复的未来应通过个性化的多模式治疗针对不同的分子、突触和皮质部位,以最大限度地促进运动恢复。