DECODING THE CORRELATION BETWEEN BRAIN ACTIVITY AND FACIAL MUSCLE RESPONSE DURING EXTERNAL STIMULATION

The interplay between the brain and facial muscles involves a continuous exchange of information, where neural signals originating from the brain direct facial muscle reactions in response to various stimuli. In this research, we employed an information-based approach to study the brain–facial muscle relation in response to various conditions. To do so, we exposed 13 participants (3 F, 10 M, 19–22 years old) to three distinct types of music, each with varying levels of complexity. During these sessions, we recorded both Electroencephalogram (EEG) and Electromyogram (EMG) signals to capture neural and muscular responses, respectively. Subsequently, we utilized Shannon entropy to study the contained information in these signals. Our results demonstrated that music with higher complexity levels significantly altered the contained information in the signals. Furthermore, we identified a strong correlation in the alterations in the contained information among these signals. This suggests a significant connection among facial muscle and brain activities. This approach holds promise for investigating similar relationships among other physiological organs and brain activities, offering insights into broader patterns of physiological interactions.