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Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos

The mirror neuron network (MNN) has been proposed as a neural substrate of action understanding. Electroencephalography (EEG) mu suppression has commonly been studied as an index of MNN activity during execution and observation of hand and finger movements. However, in order to establish its role in...

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Detalles Bibliográficos
Autores principales: Karakale, Ozge, Moore, Matthew R., Kirk, Ian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375875/
https://www.ncbi.nlm.nih.gov/pubmed/30800063
http://dx.doi.org/10.3389/fnhum.2019.00034
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author Karakale, Ozge
Moore, Matthew R.
Kirk, Ian J.
author_facet Karakale, Ozge
Moore, Matthew R.
Kirk, Ian J.
author_sort Karakale, Ozge
collection PubMed
description The mirror neuron network (MNN) has been proposed as a neural substrate of action understanding. Electroencephalography (EEG) mu suppression has commonly been studied as an index of MNN activity during execution and observation of hand and finger movements. However, in order to establish its role in higher order processes, such as recognizing and sharing emotions, more research using social emotional stimuli is needed. The current study aims to contribute to our understanding of the sensitivity of mu suppression to facial expressions. Modulation of the mu and occipital alpha (8–13 Hz) rhythms was calculated in 22 participants while they observed dynamic video stimuli, including emotional (happy and sad) and neutral (mouth opening) facial expressions, and non-biological stimulus (kaleidoscope pattern). Across the four types of stimuli, only the neutral face was associated with a significantly stronger mu suppression than the non-biological stimulus. Occipital alpha suppression was significantly greater in the non-biological stimulus than all the face conditions. Source estimation standardized low resolution electromagnetic tomography (sLORETA) analysis comparing the neural sources of mu/alpha modulation between neutral face and non-biological stimulus showed more suppression in the central regions, including the supplementary motor and somatosensory areas, than the more posterior regions. EEG and source estimation results may indicate that reduced availability of emotional information in the neutral face condition requires more sensorimotor engagement in deciphering emotion-related information than the full-blown happy or sad expressions that are more readily recognized.
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spelling pubmed-63758752019-02-22 Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos Karakale, Ozge Moore, Matthew R. Kirk, Ian J. Front Hum Neurosci Neuroscience The mirror neuron network (MNN) has been proposed as a neural substrate of action understanding. Electroencephalography (EEG) mu suppression has commonly been studied as an index of MNN activity during execution and observation of hand and finger movements. However, in order to establish its role in higher order processes, such as recognizing and sharing emotions, more research using social emotional stimuli is needed. The current study aims to contribute to our understanding of the sensitivity of mu suppression to facial expressions. Modulation of the mu and occipital alpha (8–13 Hz) rhythms was calculated in 22 participants while they observed dynamic video stimuli, including emotional (happy and sad) and neutral (mouth opening) facial expressions, and non-biological stimulus (kaleidoscope pattern). Across the four types of stimuli, only the neutral face was associated with a significantly stronger mu suppression than the non-biological stimulus. Occipital alpha suppression was significantly greater in the non-biological stimulus than all the face conditions. Source estimation standardized low resolution electromagnetic tomography (sLORETA) analysis comparing the neural sources of mu/alpha modulation between neutral face and non-biological stimulus showed more suppression in the central regions, including the supplementary motor and somatosensory areas, than the more posterior regions. EEG and source estimation results may indicate that reduced availability of emotional information in the neutral face condition requires more sensorimotor engagement in deciphering emotion-related information than the full-blown happy or sad expressions that are more readily recognized. Frontiers Media S.A. 2019-02-08 /pmc/articles/PMC6375875/ /pubmed/30800063 http://dx.doi.org/10.3389/fnhum.2019.00034 Text en Copyright © 2019 Karakale, Moore and Kirk. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Karakale, Ozge
Moore, Matthew R.
Kirk, Ian J.
Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title_full Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title_fullStr Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title_full_unstemmed Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title_short Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos
title_sort mental simulation of facial expressions: mu suppression to the viewing of dynamic neutral face videos
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375875/
https://www.ncbi.nlm.nih.gov/pubmed/30800063
http://dx.doi.org/10.3389/fnhum.2019.00034
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