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本文引用的文献

1
Comparison of the effects of real-time propulsive force versus limb angle gait biofeedback on gait biomechanics.实时推进力与肢体角度步态生物反馈对步态生物力学的影响比较。
Gait Posture. 2021 Jan;83:107-113. doi: 10.1016/j.gaitpost.2020.10.014. Epub 2020 Oct 16.
2
These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits.这些腿是为推进而生的:推进中风后推进缺陷的诊断和治疗。
J Neuroeng Rehabil. 2020 Oct 21;17(1):139. doi: 10.1186/s12984-020-00747-6.
3
Comparison of the Immediate Effects of Audio, Visual, or Audiovisual Gait Biofeedback on Propulsive Force Generation in Able-Bodied and Post-stroke Individuals.音频、视觉或视听步态生物反馈对健全人和脑卒中个体产生推动力的即时影响比较。
Appl Psychophysiol Biofeedback. 2020 Sep;45(3):211-220. doi: 10.1007/s10484-020-09464-1.
4
Computational Design of FastFES Treatment to Improve Propulsive Force Symmetry During Post-stroke Gait: A Feasibility Study.用于改善中风后步态推进力对称性的快速功能性电刺激治疗的计算设计:一项可行性研究
Front Neurorobot. 2019 Oct 1;13:80. doi: 10.3389/fnbot.2019.00080. eCollection 2019.
5
Gait Rehabilitation Using Functional Electrical Stimulation Induces Changes in Ankle Muscle Coordination in Stroke Survivors: A Preliminary Study.使用功能性电刺激的步态康复对中风幸存者踝关节肌肉协调性的影响:一项初步研究
Front Neurol. 2018 Dec 20;9:1127. doi: 10.3389/fneur.2018.01127. eCollection 2018.
6
Merged plantarflexor muscle activity is predictive of poor walking performance in post-stroke hemiparetic subjects.合并的跖屈肌活动可预测中风后偏瘫患者的步行能力不佳。
J Biomech. 2019 Jan 3;82:361-367. doi: 10.1016/j.jbiomech.2018.11.011. Epub 2018 Nov 15.
7
Pelvic excursion during walking post-stroke: A novel classification system.中风后行走时的骨盆偏移:一种新的分类系统。
Gait Posture. 2018 May;62:395-404. doi: 10.1016/j.gaitpost.2018.03.052. Epub 2018 Mar 31.
8
Effects of real-time gait biofeedback on paretic propulsion and gait biomechanics in individuals post-stroke.实时步态生物反馈对中风后个体患侧推进力和步态生物力学的影响。
Top Stroke Rehabil. 2018 Apr;25(3):186-193. doi: 10.1080/10749357.2018.1436384. Epub 2018 Feb 19.
9
Prediction of motor recovery after stroke: advances in biomarkers.脑卒中后运动功能恢复的预测:生物标志物的研究进展。
Lancet Neurol. 2017 Oct;16(10):826-836. doi: 10.1016/S1474-4422(17)30283-1. Epub 2017 Sep 12.
10
Agreed definitions and a shared vision for new standards in stroke recovery research: The Stroke Recovery and Rehabilitation Roundtable taskforce.达成关于卒中康复研究新标准的共识定义和共同愿景:卒中康复和康复圆桌会议工作组。
Int J Stroke. 2017 Jul;12(5):444-450. doi: 10.1177/1747493017711816.

中风及中风步态康复对行为和神经生理学结果的影响:未来研究的挑战与机遇

The Effects of Stroke and Stroke Gait Rehabilitation on Behavioral and Neurophysiological Outcomes:: Challenges and Opportunities for Future Research.

作者信息

Kesar Trisha

机构信息

Division of Physical Therapy, Department of Rehabilitation Medicine, Emory University School of Medicine.

出版信息

Dela J Public Health. 2023 Aug 31;9(3):76-81. doi: 10.32481/djph.2023.08.013. eCollection 2023 Aug.

DOI:10.32481/djph.2023.08.013
PMID:37701480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10494801/
Abstract

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.

摘要

中风仍然是导致成人残疾的主要原因,造成了巨大的医疗费用。即使在康复出院后,中风患者仍持续存在步态障碍,这反过来又对功能活动能力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、心理社会变量以及皮质脊髓神经通路的生理功能,都会影响中风后的步态功能以及训练引起的步态改善。作为应对这一挑战的第一步,本观点论文的目的是概述与中风步态功能障碍的测量和再训练相关的知识空白。本文还针对未来的研究方向提出了建议,以填补重要的知识空白,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以及康复引起的调节有关的空白。我们认为,需要利用新兴技术来开发创新、全面的方法,以定量测量步态模式,为临床医生提供步态质量的客观测量方法,从而补充步行功能的传统临床结果。此外,我们认为需要更多地研究中风病变如何影响神经系统的多个部分,以及了解步态训练和步态恢复的神经可塑性相关性。能够结合临床、生物力学、神经和计算建模数据的多模式临床研究,有望为获取有关中风步态功能障碍以及影响中风后偏瘫患者恢复和治疗反应的众多因素的新信息提供帮助。