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脑卒中后步态康复:一种自上而下方法的综述。

Rehabilitation of gait after stroke: a review towards a top-down approach.

机构信息

Instituto de Biomecánica de Valencia, Universitat Politécnica de Valencia, Valencia, Spain.

出版信息

J Neuroeng Rehabil. 2011 Dec 13;8:66. doi: 10.1186/1743-0003-8-66.

Abstract

This document provides a review of the techniques and therapies used in gait rehabilitation after stroke. It also examines the possible benefits of including assistive robotic devices and brain-computer interfaces in this field, according to a top-down approach, in which rehabilitation is driven by neural plasticity.The methods reviewed comprise classical gait rehabilitation techniques (neurophysiological and motor learning approaches), functional electrical stimulation (FES), robotic devices, and brain-computer interfaces (BCI).From the analysis of these approaches, we can draw the following conclusions. Regarding classical rehabilitation techniques, there is insufficient evidence to state that a particular approach is more effective in promoting gait recovery than other. Combination of different rehabilitation strategies seems to be more effective than over-ground gait training alone. Robotic devices need further research to show their suitability for walking training and their effects on over-ground gait. The use of FES combined with different walking retraining strategies has shown to result in improvements in hemiplegic gait. Reports on non-invasive BCIs for stroke recovery are limited to the rehabilitation of upper limbs; however, some works suggest that there might be a common mechanism which influences upper and lower limb recovery simultaneously, independently of the limb chosen for the rehabilitation therapy. Functional near infrared spectroscopy (fNIRS) enables researchers to detect signals from specific regions of the cortex during performance of motor activities for the development of future BCIs. Future research would make possible to analyze the impact of rehabilitation on brain plasticity, in order to adapt treatment resources to meet the needs of each patient and to optimize the recovery process.

摘要

本文回顾了中风后步态康复中使用的技术和疗法。还根据自上而下的方法,考察了在该领域中纳入辅助机器人设备和脑机接口的可能益处,其中康复是由神经可塑性驱动的。所回顾的方法包括经典步态康复技术(神经生理和运动学习方法)、功能性电刺激(FES)、机器人设备和脑机接口(BCI)。从这些方法的分析中,我们可以得出以下结论。关于经典康复技术,没有足够的证据表明特定方法比其他方法更有效地促进步态恢复。不同康复策略的组合似乎比单独进行地面步态训练更有效。机器人设备需要进一步的研究来证明它们适用于步行训练以及对地面步态的影响。将 FES 与不同的步行再训练策略结合使用已被证明可以改善偏瘫步态。关于中风康复的非侵入性脑机接口的报告仅限于上肢的康复;然而,一些研究表明,可能存在一种共同的机制,同时独立于用于康复治疗的肢体,影响上下肢的恢复。功能性近红外光谱(fNIRS)使研究人员能够在执行运动活动时检测大脑皮层特定区域的信号,以便为未来的脑机接口开发提供依据。未来的研究将有可能分析康复对大脑可塑性的影响,以便根据每个患者的需求调整治疗资源,优化恢复过程。

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