中风和中风步态康复对行为和神经生理结果的影响:未来研究的挑战和机遇。

Trisha Kesar
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引用次数: 0

摘要

中风仍然是成人残疾的主要原因,造成巨大的医疗费用。即使在康复出院后,中风后个体仍然存在持续的步态障碍,这反过来对功能活动和生活质量产生不利影响。多种因素,包括生物力学、能量消耗、社会心理变量以及皮质脊髓神经通路的生理功能影响中风步态功能和训练诱导的步态改善。作为解决这一挑战的一步,当前观点论文的目标是概述与卒中步态功能障碍的测量和再训练相关的知识差距。本文还对未来的研究方向提出了建议,以解决重要的知识空白,特别是与中风步态功能障碍背后的生物力学和神经过程的测量和康复诱导调节有关。我们认为有必要利用新兴技术来开发创新的、全面的、定量测量步态模式的方法,为临床医生提供客观的步态质量测量,以补充传统的临床结果。此外,我们认为有必要对中风损伤如何影响神经系统的多个部分进行更多的研究,并了解步态训练和步态恢复的神经可塑性。结合临床、生物力学、神经和计算建模数据的多模式临床研究为获得卒中步态功能障碍的新信息以及影响卒中后偏瘫患者康复和治疗反应的众多因素提供了希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effects of Stroke and Stroke Gait Rehabilitation on Behavioral and Neurophysiological Outcomes:: Challenges and Opportunities for Future Research.

Stroke continues to be a leading cause of adult disability, contributing to immense healthcare costs. Even after discharge from rehabilitation, post-stroke individuals continue to have persistent gait impairments, which in turn adversely affect functional mobility and quality of life. Multiple factors, including biomechanics, energy cost, psychosocial variables, as well as the physiological function of corticospinal neural pathways influence stroke gait function and training-induced gait improvements. As a step toward addressing this challenge, the objective of the current perspective paper is to outline knowledge gaps pertinent to the measurement and retraining of stroke gait dysfunction. The paper also has recommendations for future research directions to address important knowledge gaps, especially related to the measurement and rehabilitation-induced modulation of biomechanical and neural processes underlying stroke gait dysfunction. We posit that there is a need for leveraging emerging technologies to develop innovative, comprehensive, methods to measure gait patterns quantitatively, to provide clinicians with objective measure of gait quality that can supplement conventional clinical outcomes of walking function. Additionally, we posit that there is a need for more research on how the stroke lesion affects multiple parts of the nervous system, and to understand the neuroplasticity correlates of gait training and gait recovery. Multi-modal clinical research studies that can combine clinical, biomechanical, neural, and computational modeling data provide promise for gaining new information about stroke gait dysfunction as well as the multitude of factors affecting recovery and treatment response in people with post-stroke hemiparesis.

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