利用多通道脑电图和肌电图信号对精确抓握任务下的皮质肌肉功能耦合进行全球同步分析

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
Xiaoling Chen, Tingting Shen, Yingying Hao, Jinyuan Zhang, Ping Xie
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引用次数: 0

摘要

功能性皮质肌肉耦合(FCMC)是一种描述大脑皮层与肌肉之间信息交互的现象,在评估手部运动中发挥着重要作用。然而,相关研究主要通过大脑和肌肉之间一对一的映射来关注特定动作,而忽略了整个运动系统的全局同步性。在精确握力任务方面,有关大脑与不同肌肉群之间的 FCMC 差异的研究还很少。本研究结合最大信息系数(MIC)和 S 估计法,通过分析精确抓握任务中的多通道脑电图(EEG)和肌电图(EMG),构建了多变量全局同步指数(MGSI)来测量 FCMC。这两个信号都是在 12 名健康受试者执行不同重量物体任务时采集的。我们对信号的希尔伯特-黄频谱熵(HHSE)的研究结果表明,在任务阶段,β(13-30 Hz)和γ(31-45 Hz)频段的信号存在差异。重量差异反映在 CP5 频道和上肢两端肌肉的 HHSE 上。EEG 与肌肉对 AD-FDI 之间的一对一 MIC 映射显示,MIC 值大于肌肉对 B-CED;MGSI 值也有同样的趋势。然而,静态任务的权重差异并不显著。MGSI 值和脑电图的连接比都与 HHSE 值有关。这项工作从不同角度研究了精确抓握任务过程中大脑皮层和肌肉的变化,有助于更好地理解人类的运动控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Global synchronization of functional corticomuscular coupling under precise grip tasks using multichannel EEG and EMG signals

Global synchronization of functional corticomuscular coupling under precise grip tasks using multichannel EEG and EMG signals

Functional corticomuscular coupling (FCMC), a phenomenon describing the information interaction between the cortex and muscles, plays an important role in assessing hand movements. However, related studies mainly focused on specific actions by one-to-one mapping between the brain and muscles, ignoring the global synchronization across the motor system. Little research has been done on the FCMC difference between the brain and different muscle groups in terms of precise grip tasks. This study combined the maximum information coefficient (MIC) and the S estimation method and constructed a multivariate global synchronization index (MGSI) to measure the FCMC by analyzing the multichannel electroencephalogram (EEG) and electromyogram (EMG) during precise grip tasks. Both signals were collected from 12 healthy subjects while performing different weight object tasks. Our results on Hilbert-Huang spectral entropy (HHSE) of signals showed differences in task stages in both β (13–30 Hz) and γ (31–45 Hz) bands. The weight difference was reflected in the HHSE of channel CP5 and muscles at both ends of the upper limb. The one-to-one mapping with MIC between EEG and the muscle pair AD-FDI showed larger MIC values than the muscle pair B-CED; the same trend was seen on the MGSI values. However, the difference in weight of static tasks was not significant. Both MGSI values and the connect ratio of EEG were related to HHSE values. This work investigated the changes in the cortex and muscles during precise grip tasks from different perspectives, contributing to a better understanding of human motor control.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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