Information decomposition of multichannel EMG to map functional interactions in the distributed motor system
Information decomposition of multichannel EMG to map functional interactions in the distributed motor system
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DOI：
10.1016/j.neuroimage.2019.116093
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发表时间：
2019-11-15
期刊：
影响因子：
5.7
通讯作者：
Marinazzo, Daniele
中科院分区：
文献类型：
--
作者：
Boonstra, Tjeerd W.;Faes, Luca;Marinazzo, Daniele
在姿势控制过程中，中枢神经系统需要协调多块肌肉。功能协调是通过连接不同肌肉的神经回路来建立的。在这里，我们使用多变量信息分解的多通道肌电采集自14名健康受试者在姿势任务中，以研究肌肉之间的神经相互作用。用瞬时线性回归模型和时滞VAR模型对36块肌肉的肌电包膜进行拟合，得到一组信息度量。我们使用网络分析来量化肌肉之间功能相互作用的结构，并在实验条件下对它们进行比较。条件互信息和传递熵揭示了以肌肉局部连接为主的稀疏网络。我们观察到姿势任务中肌肉网络的显著变化，这些变化局限于执行这些任务所涉及的肌肉。信息分解在任务相关的变化中表现出不同的模式：单手和双手指向与向胸大肌的转移减少有关，但与不指向相比，总信息量增加，而姿势不稳定导致与正常稳定性相比，外展长肌中的信息、信息传递和信息存储增加。这些发现显示了肌肉之间直接相互作用的强大模式，这种模式依赖于任务，可以从静态姿势任务中记录的表面肌电信号进行评估。我们从参与产生肌肉活动的神经回路的角度来讨论定向肌肉网络，并认为任务相关的效应可能反映了脊髓反射通路的增益调节。
The central nervous system needs to coordinate multiple muscles during postural control. Functional coordination is established through the neural circuitry that interconnects different muscles. Here we used multivariate information decomposition of multichannel EMG acquired from 14 healthy participants during postural tasks to investigate the neural interactions between muscles. A set of information measures were estimated from an instantaneous linear regression model and a time-lagged VAR model fitted to the EMG envelopes of 36 muscles. We used network analysis to quantify the structure of functional interactions between muscles and compared them across experimental conditions. Conditional mutual information and transfer entropy revealed sparse networks dominated by local connections between muscles. We observed significant changes in muscle networks across postural tasks localized to the muscles involved in performing those tasks. Information decomposition revealed distinct patterns in task-related changes: unimanual and bimanual pointing were associated with reduced transfer to the pectoralis major muscles, but an increase in total information compared to no pointing, while postural instability resulted in increased information, information transfer and information storage in the abductor longus muscles compared to normal stability. These findings show robust patterns of directed interactions between muscles that are task-dependent and can be assessed from surface EMG recorded during static postural tasks. We discuss directed muscle networks in terms of the neural circuitry involved in generating muscle activity and suggest that task-related effects may reflect gain modulations of spinal reflex pathways.