Complexity-based analysis of the coupling between facial muscle and brain activities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50017944" target="_blank" >RIV/62690094:18450/21:50017944 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1746809421001087?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1746809421001087?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2021.102511" target="_blank" >10.1016/j.bspc.2021.102511</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Complexity-based analysis of the coupling between facial muscle and brain activities

Popis výsledku v původním jazyce

The human body consists of different muscles. Investigation of facial muscle activities is very important since they are responsive to different kinds of stimuli that humans receive. The brain controls and regulates the activities of human&apos;s muscles. In this work, we evaluated the coupling among the facial muscles and brain activities for twelve subjects (7 M and 5 F) that were stimulated using three odors (pineapple, banana, and vanilla flavors as olfactory stimuli) with different molecular complexities. Using fractal theory and sample entropy, we studied how the complexity of facial muscles’ reaction through Electromyography (EMG) signals is linked to the complexity of the brain&apos;s response through Electroencephalography (EEG) signals due to olfactory stimulation. The results showed significant changes (P&lt;0.05) in the complexities of EMG and EEG signals in response to the applied odors. Besides, the changes in the complexity of EEG and EMG signals are strongly correlated in the case of fractal dimension (r=-0.947) and sample entropy (r=-0.774). This analysis method can be applied to other physiological signals to investigate the coupling between the activities of other organs and brain activity. © 2021 Elsevier Ltd

Název v anglickém jazyce

Complexity-based analysis of the coupling between facial muscle and brain activities

Popis výsledku anglicky

The human body consists of different muscles. Investigation of facial muscle activities is very important since they are responsive to different kinds of stimuli that humans receive. The brain controls and regulates the activities of human&apos;s muscles. In this work, we evaluated the coupling among the facial muscles and brain activities for twelve subjects (7 M and 5 F) that were stimulated using three odors (pineapple, banana, and vanilla flavors as olfactory stimuli) with different molecular complexities. Using fractal theory and sample entropy, we studied how the complexity of facial muscles’ reaction through Electromyography (EMG) signals is linked to the complexity of the brain&apos;s response through Electroencephalography (EEG) signals due to olfactory stimulation. The results showed significant changes (P&lt;0.05) in the complexities of EMG and EEG signals in response to the applied odors. Besides, the changes in the complexity of EEG and EMG signals are strongly correlated in the case of fractal dimension (r=-0.947) and sample entropy (r=-0.774). This analysis method can be applied to other physiological signals to investigate the coupling between the activities of other organs and brain activity. © 2021 Elsevier Ltd

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Svazek periodika

67

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

7

Strana od-do

"Article number 102511"

Kód UT WoS článku

000640913800008

EID výsledku v databázi Scopus

2-s2.0-85102082874