听觉刺激中大脑与面部肌肉反应之间耦合关系的解码。
Decoding of the coupling between the brain and facial muscle reactions in auditory stimulation.
作者信息
Soundirarajan Mirra, Kuca Kamil, Krejcar Ondrej, Namazi Hamidreza
机构信息
School of Engineering, Monash University, Selangor, Malaysia.
Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Czechia.
出版信息
Technol Health Care. 2022;30(4):859-868. doi: 10.3233/THC-213528.
BACKGROUND
Analysis of the reactions of different organs to external stimuli is an important area of research in physiological science.
OBJECTIVE
In this paper, we investigated the correlation between the brain and facial muscle activities by information-based analysis of electroencephalogram (EEG) signals and electromyogram (EMG) signals using Shannon entropy.
METHOD
The EEG and EMG signals of thirteen subjects were recorded during rest and auditory stimulations using relaxing, pop, and rock music. Accordingly, we calculated the Shannon entropy of these signals.
RESULTS
The results showed that rock music has a greater effect on the information of EEG and EMG signals than pop music, which itself has a greater effect than relaxing music. Furthermore, a strong correlation (r= 0.9980) was found between the variations of the information of EEG and EMG signals.
CONCLUSION
The activities of the facial muscle and brain are correlated in different conditions. This technique can be utilized to investigate the correlation between the activities of different organs versus brain activity in different situations.
背景
分析不同器官对外界刺激的反应是生理科学研究的一个重要领域。
目的
本文通过基于信息的脑电图（EEG）信号和肌电图（EMG）信号香农熵分析，研究大脑与面部肌肉活动之间的相关性。
方法
在13名受试者休息以及使用舒缓音乐、流行音乐和摇滚音乐进行听觉刺激期间记录EEG和EMG信号。据此，我们计算了这些信号的香农熵。
结果
结果表明，摇滚音乐对EEG和EMG信号信息的影响大于流行音乐，而流行音乐本身的影响又大于舒缓音乐。此外，EEG和EMG信号信息变化之间存在很强的相关性（r = 0.9980）。
结论
在不同条件下，面部肌肉和大脑的活动是相关的。该技术可用于研究不同情况下不同器官活动与大脑活动之间的相关性。
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