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Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions

A traditional model of emotion cannot explain the differences in brain activities between two discrete emotions that are similar in the valence-arousal coordinate space. The current study elicited two positive emotions (amusement and tenderness) and two negative emotions (anger and fear) that are si...

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Autores principales: Zhao, Guozhen, Zhang, Yulin, Ge, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221898/
https://www.ncbi.nlm.nih.gov/pubmed/30443208
http://dx.doi.org/10.3389/fnbeh.2018.00225
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author Zhao, Guozhen
Zhang, Yulin
Ge, Yan
author_facet Zhao, Guozhen
Zhang, Yulin
Ge, Yan
author_sort Zhao, Guozhen
collection PubMed
description A traditional model of emotion cannot explain the differences in brain activities between two discrete emotions that are similar in the valence-arousal coordinate space. The current study elicited two positive emotions (amusement and tenderness) and two negative emotions (anger and fear) that are similar in both valence and arousal dimensions to examine the differences in brain activities in these emotional states. Frontal electroencephalographic (EEG) asymmetry and midline power in three bands (theta, alpha and beta) were measured when participants watched affective film excerpts. Significant differences were detected between tenderness and amusement on FP1/FP2 theta asymmetry, F3/F4 theta and alpha asymmetry. Significant differences between anger and fear on FP1/FP2 theta asymmetry and F3/F4 alpha asymmetry were also observed. For midline power, midline theta power could distinguish two negative emotions, while midline alpha and beta power could effectively differentiate two positive emotions. Liking and dominance were also related to EEG features. Stepwise multiple linear regression results revealed that frontal alpha and theta asymmetry could predict the subjective feelings of two positive and two negative emotions in different patterns. The binary classification accuracy, which used EEG frontal asymmetry and midline power as features and support vector machine (SVM) as classifiers, was as high as 64.52% for tenderness and amusement and 78.79% for anger and fear. The classification accuracy was improved after adding these features to other features extracted across the scalp. These findings indicate that frontal EEG asymmetry and midline power might have the potential to recognize discrete emotions that are similar in the valence-arousal coordinate space.
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spelling pubmed-62218982018-11-15 Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions Zhao, Guozhen Zhang, Yulin Ge, Yan Front Behav Neurosci Neuroscience A traditional model of emotion cannot explain the differences in brain activities between two discrete emotions that are similar in the valence-arousal coordinate space. The current study elicited two positive emotions (amusement and tenderness) and two negative emotions (anger and fear) that are similar in both valence and arousal dimensions to examine the differences in brain activities in these emotional states. Frontal electroencephalographic (EEG) asymmetry and midline power in three bands (theta, alpha and beta) were measured when participants watched affective film excerpts. Significant differences were detected between tenderness and amusement on FP1/FP2 theta asymmetry, F3/F4 theta and alpha asymmetry. Significant differences between anger and fear on FP1/FP2 theta asymmetry and F3/F4 alpha asymmetry were also observed. For midline power, midline theta power could distinguish two negative emotions, while midline alpha and beta power could effectively differentiate two positive emotions. Liking and dominance were also related to EEG features. Stepwise multiple linear regression results revealed that frontal alpha and theta asymmetry could predict the subjective feelings of two positive and two negative emotions in different patterns. The binary classification accuracy, which used EEG frontal asymmetry and midline power as features and support vector machine (SVM) as classifiers, was as high as 64.52% for tenderness and amusement and 78.79% for anger and fear. The classification accuracy was improved after adding these features to other features extracted across the scalp. These findings indicate that frontal EEG asymmetry and midline power might have the potential to recognize discrete emotions that are similar in the valence-arousal coordinate space. Frontiers Media S.A. 2018-11-01 /pmc/articles/PMC6221898/ /pubmed/30443208 http://dx.doi.org/10.3389/fnbeh.2018.00225 Text en Copyright © 2018 Zhao, Zhang and Ge. 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
Zhao, Guozhen
Zhang, Yulin
Ge, Yan
Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title_full Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title_fullStr Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title_full_unstemmed Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title_short Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions
title_sort frontal eeg asymmetry and middle line power difference in discrete emotions
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221898/
https://www.ncbi.nlm.nih.gov/pubmed/30443208
http://dx.doi.org/10.3389/fnbeh.2018.00225
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