运动表象
神经康复
物理医学与康复
康复
心理学
帕金森病
脑-机接口
意识的神经相关物
运动障碍
神经反射
步态
创造性可视化
电动机控制
疾病
神经科学
医学
认知
脑电图
计算机科学
可视化
人工智能
病理
作者
G. Cuomo,Valerio Maglianella,Sheida Ghanbari Ghooshchy,Pierluigi Zoccolotti,Marialuisa Martelli,Stefano Paolucci,Giovanni Morone,Marco Iosa
标识
DOI:10.1080/14737175.2022.2018301
摘要
Motor imagery (MI), defined as the ability to mentally represent an action without actual movement, has been used to improve motor function in athletes and, more recently, in neurological disorders such as Parkinson's disease (PD). Several studies have investigated the neural correlates of motor imagery, which change also depending on the action imagined.This review focuses on locomotion, which is a crucial activity in everyday life and is often impaired by neurological conditions. After a general discussion on the neural correlates of motor imagery and locomotion, we review the evidence highlighting the abnormalities in gait control and gait imagery in PD patients. Next, new perspectives and techniques for PD patients' rehabilitation are discussed, namely Brain Computer Interfaces (BCIs), neurofeedback, and virtual reality (VR).Despite the few studies, the literature review supports the potential beneficial effects of motor imagery interventions in PD focused on locomotion. The development of new technologies could empower the administration of training based on motor imagery locomotor tasks, and their application could lead to new rehabilitation protocols aimed at improving walking ability in patients with PD.
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