Since the brain regulates our facial reactions, there should be a relationship between their activities. Moving (dynamic) visual stimuli are an important type of visual stimuli that we are dealing with in our daily life. Since EMG and EEG signals contain information, we evaluated the coupling of the reactions of facial muscles and brain to various moving visual stimuli by analysis of the embedded information in these signals. We benefited from Shannon entropy to quantify the information. The results showed that a decrement in the information of visual stimulus is mapped on a decrement of the information of EMG and EEG signals, and therefore, the activities of facial muscles and the brain are correlated (Pearson correlation coefficient=0.9670). Besides, the analysis of the Hurst exponent of EEG signals demonstrated that increasing the information of EEG signals causes the increment in its memory. This method can also be used to evaluate the coupling among other organs’ activity and brain activity by analysis of related physiological signals.

中文翻译：

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评估大脑和面部肌肉对移动视觉刺激的反应之间的耦合

由于大脑调节我们的面部反应，因此它们的活动之间应该存在关系。移动（动态）视觉刺激是我们日常生活中处理的一种重要的视觉刺激。由于 EMG 和 EEG 信号包含信息，我们通过分析这些信号中的嵌入信息来评估面部肌肉和大脑的反应与各种移动视觉刺激的耦合。我们受益于香农熵来量化信息。结果表明，视觉刺激信息的减少反映了肌电和脑电信号信息的减少，因此面部肌肉和大脑的活动是相关的（皮尔逊相关）系数=0.9670）。此外，脑电信号的赫斯特指数分析表明，脑电信号信息的增加会导致其记忆的增加。该方法还可用于通过分析相关生理信号来评估其他器官活动与大脑活动之间的耦合。