TCTS lab, Université de Mons, Place du Parc 20, Mons 7000, Belgium.
LNMB lab, Université Libre de Bruxelles, Avenue Franklin Roosevelt 50, Bruxelles 1050, Belgium.
Brain Sci. 2013 Dec 31;4(1):1-48. doi: 10.3390/brainsci4010001.
In the last few years, significant progress has been made in the field of walk rehabilitation. Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics. Epidural electrical stimulation in rats and in one young paraplegic has been realized to partially restore motor control after spinal cord injury. However, these experimental trials are far from being applicable to all patients suffering from motor impairments. Therefore, it is thought that more simple rehabilitation systems are desirable in the meanwhile. The goal of this review is to describe and summarize the progress made in the development of non-invasive brain-computer interfaces dedicated to motor rehabilitation systems. In the first part, the main principles of human locomotion control are presented. The paper then focuses on the mechanisms of supra-spinal centers active during gait, including results from electroencephalography, functional brain imaging technologies [near-infrared spectroscopy (NIRS), functional magnetic resonance imaging (fMRI), positron-emission tomography (PET), single-photon emission-computed tomography (SPECT)] and invasive studies. The first brain-computer interface (BCI) applications to gait rehabilitation are then presented, with a discussion about the different strategies developed in the field. The challenges to raise for future systems are identified and discussed. Finally, we present some proposals to address these challenges, in order to contribute to the improvement of BCI for gait rehabilitation.
在过去的几年中,步行康复领域取得了重大进展。双足猴子的运动皮层信号已被解释为可预测步行运动学。已经实现了对大鼠和一名年轻截瘫患者的硬膜外电刺激,以在脊髓损伤后部分恢复运动控制。然而,这些实验性试验远不能适用于所有患有运动障碍的患者。因此,人们认为同时还需要更简单的康复系统。本综述的目的是描述和总结专门用于运动康复系统的非侵入性脑-机接口的发展进展。在第一部分中,介绍了人类运动控制的主要原理。然后,本文重点介绍了步态过程中脊髓上中枢的作用机制,包括脑电图、功能脑成像技术(近红外光谱 (NIRS)、功能磁共振成像 (fMRI)、正电子发射断层扫描 (PET)、单光子发射计算机断层扫描 (SPECT))和侵入性研究的结果。然后介绍了第一个用于步态康复的脑机接口 (BCI) 应用,并讨论了该领域开发的不同策略。确定并讨论了未来系统面临的挑战。最后,我们提出了一些建议来应对这些挑战,以促进用于步态康复的 BCI 的改进。