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基于脑电图的皮质运动连贯性评估的物理治疗师辅助手腕运动方案

Physiotherapist assisted wrist movement protocol for EEG-based corticokinematic coherence assessment.

作者信息

Kovács Fanni, Ernhaft Adél, Fazekas Gábor, Horváth János

机构信息

Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.

Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Budapest, Hungary.

出版信息

Sci Rep. 2025 Sep 26;15(1):33104. doi: 10.1038/s41598-025-17330-5.

Abstract

This study aimed to assess the feasibility of a physiotherapist-assisted wrist-movement protocol to measure corticokinematic coherence (CKC) using electroencephalography (EEG) in healthy adults. The broader goal is to evaluate CKC's potential as a proprioceptive assessment tool in clinical settings. Thirty-two healthy young adults participated in a hand movement task, in which a physiotherapist periodically moved their hand by relying on a "visual metronome". We measured CKC by co-recording EEG and hand acceleration data. CKC was observed at the fundamental movement frequency and its first harmonic, mainly at electrodes above the primary sensorimotor area contralateral to the moved hand. The use of a visual metronome helped to maintain the regularity of the movement, but slight between-hand differences in movement regularity were nonetheless present. The results support the feasibility of using a physiotherapist-assisted, wrist-movement-based EEG protocol to assess CKC. This method holds promise for evaluating proprioceptive function in clinical populations, as it enables tailoring the movement to individual needs and real-time adaptation to physiological variability in a natural physiotherapist-patient interaction without requiring a mechanical actuator. The findings lay the groundwork for future applications in stroke rehabilitation and other neurological contexts.

摘要

本研究旨在评估在健康成年人中,由物理治疗师辅助的手腕运动方案结合脑电图(EEG)测量皮质运动连贯性(CKC)的可行性。更广泛的目标是评估CKC作为临床环境中本体感觉评估工具的潜力。32名健康的年轻成年人参与了一项手部运动任务,其中一名物理治疗师依靠“视觉节拍器”定期移动他们的手。我们通过同步记录EEG和手部加速度数据来测量CKC。在基本运动频率及其一次谐波处观察到了CKC,主要出现在与被移动手对侧的初级感觉运动区上方的电极处。视觉节拍器的使用有助于保持运动的规律性,但手部之间的运动规律性仍存在轻微差异。结果支持了使用由物理治疗师辅助的、基于手腕运动的EEG方案来评估CKC的可行性。这种方法有望用于评估临床人群的本体感觉功能,因为它能够根据个体需求调整运动,并在自然的物理治疗师-患者互动中实时适应生理变异性,而无需机械执行器。这些发现为未来在中风康复和其他神经学背景下的应用奠定了基础。

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