Decoding of facial muscle-brain relation by information-based analysis of electromyogram (EMG) and electroencephalogram (EEG) signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50018393" target="_blank" >RIV/62690094:18450/24:50018393 - isvavai.cz</a>

Result on the web

<a href="https://www.tandfonline.com/doi/full/10.1080/17455030.2021.1983227" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17455030.2021.1983227</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/17455030.2021.1983227" target="_blank" >10.1080/17455030.2021.1983227</a>

Result language

angličtina

Original language name

Decoding of facial muscle-brain relation by information-based analysis of electromyogram (EMG) and electroencephalogram (EEG) signals

Original language description

To understand the connection among the brain and facial muscles, we decoded the correlation of facial muscles and brain activities. We applied information theory (Shannon entropy) to EEG and EMG signals recorded from 12 subjects (7 M, 5 F) during rest and stimulation using three odors (pineapple, banana, vanilla). The results indicated that a larger variation in the molecular complexity of odors causes a larger variation in the information of EMG and EEG signals. Therefore, facial muscles&apos; activity is strongly coupled (r = -0.8399) to the brain&apos;s activity. Our analysis method could be further employed to examine the relationship between the brain and other organs by comparing other physiological signals with the brain signals.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Waves in Random and Complex Media

ISSN

1745-5030

e-ISSN

1745-5049

Volume of the periodical

34

Issue of the periodical within the volume

4

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

3599-3608

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85116186341