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

Ondrej Krejcar and Hamidreza Namazi
Additional contact information
Ondrej Krejcar: Skoda Auto University, Na Karmeli 1457, 293 01 Mladá Boleslav, Czech Republic†Malaysia Japan International Institute of Technology, (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia℠Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Hamidreza Namazi: Skoda Auto University, Na Karmeli 1457, 293 01 Mladá Boleslav, Czech Republic‡School of Engineering, Monash University, Selangor, Malaysia

FRACTALS (fractals), 2025, vol. 33, issue 01, 1-9

Abstract: 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.

Keywords: Information-Based Analysis; Brain Activity; Facial Muscle Responses; Shannon Entropy; Music Complexity; Physiological Interactions (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X25500136
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:33:y:2025:i:01:n:s0218348x25500136

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X25500136

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().