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运动和平衡的 EEG 动力学:神经康复的解决方案。

EEG Dynamics of Locomotion and Balancing: Solution to Neuro-Rehabilitation.

机构信息

Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India.

Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India.

出版信息

Clin EEG Neurosci. 2024 Jan;55(1):143-163. doi: 10.1177/15500594221123690. Epub 2022 Sep 1.

Abstract

The past decade has witnessed tremendous growth in analyzing the cortical representation of human locomotion and balance using Electroencephalography (EEG). With the advanced developments in miniaturized electronics, wireless brain recording systems have been developed for mobile recordings, such as in locomotion. In this review, the cortical dynamics during locomotion are presented with extensive focus on motor imagery, and employing the treadmill as a tool for performing different locomotion tasks. Further, the studies that examine the cortical dynamics during balancing, focusing on two types of balancing tasks, ie, static and dynamic, with the challenges in sensory inputs and cognition (dual-task), are presented. Moreover, the current literature demonstrates the advancements in signal processing methods to detect and remove the artifacts from EEG signals. Prior studies show the electrocortical sources in the anterior cingulate, posterior parietal, and sensorimotor cortex was found to be activated during locomotion. The event-related potential has been observed to increase in the fronto-central region for a wide range of balance tasks. The advanced knowledge of cortical dynamics during mobility can benefit various application areas such as neuroprosthetics and gait/balance rehabilitation. This review will be beneficial for the development of neuroprostheses, and rehabilitation devices for patients suffering from movement or neurological disorders.

摘要

过去十年见证了利用脑电图(EEG)分析人类运动和平衡的皮质代表的巨大发展。随着小型化电子技术的先进发展,已经开发出了无线脑记录系统,用于移动记录,例如在运动中。在这篇综述中,介绍了运动过程中的皮质动力学,重点广泛关注运动想象,并使用跑步机作为执行不同运动任务的工具。此外,还介绍了研究平衡过程中的皮质动力学的研究,重点关注两种类型的平衡任务,即静态和动态,以及在感觉输入和认知(双任务)方面的挑战。此外,现有文献展示了检测和去除 EEG 信号伪影的信号处理方法的进展。先前的研究表明,在前扣带回、顶后叶和感觉运动皮层中发现了电皮质源在运动过程中被激活。观察到事件相关电位在广泛的平衡任务中在前额中央区域增加。对运动期间皮质动力学的深入了解可以有益于各种应用领域,例如神经假体和步态/平衡康复。这篇综述将有助于开发神经假体和康复设备,以帮助患有运动或神经疾病的患者。

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