皮质肌连通性动态分析的事件相关研究

IF 2.3 Q3 ENGINEERING, BIOMEDICAL
O. Bai, Dandan Huang, P. Lin, Jinglong Wu, Xuedong Chen, D. Fei
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引用次数: 2

摘要

通过脑电图-肌电图相干性估计的皮质-肌肉耦合可能揭示外周肌肉活动的功能性皮质驱动。在等长肌肉收缩任务下,脑电图-肌电图在β波段(15-30 Hz)的相干性已被广泛研究。我们试图研究动态目标跟踪任务下皮质肌连通性的时间过程。研制了一种新的装置,用于实时测量由拇指和食指挤压产生的动态力。4名健康受试者被要求用反馈力跟踪视觉目标。利用FFT和复小波的频谱参数来可靠地估计事件相关相干性和代表皮质肌连通性的EEG-EMG相关图。利用适当的超参数进行光谱估计,观察到视觉目标跟踪过程中基于fft的相干性和互相关图有明显区别。本研究的系统设计和信号处理方法的探索为进一步探索与人类运动控制相关的皮质肌肉连接提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Event-Related Study for Dynamic Analysis of Corticomuscular Connectivity
Corticomuscular coupling estimated by EEG-EMG coherence may reveal functional cortical driving of peripheral muscular activity. EEG-EMG coherence in the beta band (15–30 Hz) has been extensively studied under isometric muscle contraction tasks. We attempted to study the time-course of corticomuscular connectivity under a dynamic target tracking task. A new device was developed for the real-time measurement of dynamic force created by pinching thumb and index fingers. Four healthy subjects who participated in this study were asked to track visual targets with the feedback forces. Spectral parameters using FFT and complex wavelet were explored for reliable estimation of event-related coherence and EEG-EMG correlogram for representing corticomuscular connectivity. Clearly distinguishable FFT-based coherence and cross-correlogram during the visual target tracking were observed with appropriate hyper-parameters for spectral estimation. The system design and the exploration of signal processing methods in this study supports further exploration of corticomuscular connectivity associated with human motor control.
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