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Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation

The goal of the present study was to examine whether frontal alpha asymmetry and delta–beta cross-frequency correlation during resting state, anticipation, and recovery are electroencephalographic (EEG) measures of social anxiety. For the first time, we jointly examined frontal alpha asymmetry and d...

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Detalles Bibliográficos
Autores principales: Harrewijn, A., Van der Molen, M. J. W., Westenberg, P. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153416/
https://www.ncbi.nlm.nih.gov/pubmed/27557885
http://dx.doi.org/10.3758/s13415-016-0455-y
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author Harrewijn, A.
Van der Molen, M. J. W.
Westenberg, P. M.
author_facet Harrewijn, A.
Van der Molen, M. J. W.
Westenberg, P. M.
author_sort Harrewijn, A.
collection PubMed
description The goal of the present study was to examine whether frontal alpha asymmetry and delta–beta cross-frequency correlation during resting state, anticipation, and recovery are electroencephalographic (EEG) measures of social anxiety. For the first time, we jointly examined frontal alpha asymmetry and delta–beta correlation during resting state and during a social performance task in high (HSA) versus low (LSA) socially anxious females. Participants performed a social performance task in which they first watched and evaluated a video of a peer, and then prepared their own speech. They believed that their speech would be videotaped and evaluated by a peer. We found that HSA participants showed significant negative delta–beta correlation as compared to LSA participants during both anticipation of and recovery from the stressful social situation. This negative delta–beta correlation might reflect increased activity in subcortical brain regions and decreased activity in cortical brain regions. As we hypothesized, no group differences in delta–beta correlation were found during the resting state. This could indicate that a certain level of stress is needed to find EEG measures of social anxiety. As for frontal alpha asymmetry, we did not find any group differences. The present frontal alpha asymmetry results are discussed in relation to the evident inconsistencies in the frontal alpha asymmetry literature. Together, our results suggest that delta–beta correlation is a putative EEG measure of social anxiety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.3758/s13415-016-0455-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-51534162016-12-23 Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation Harrewijn, A. Van der Molen, M. J. W. Westenberg, P. M. Cogn Affect Behav Neurosci Article The goal of the present study was to examine whether frontal alpha asymmetry and delta–beta cross-frequency correlation during resting state, anticipation, and recovery are electroencephalographic (EEG) measures of social anxiety. For the first time, we jointly examined frontal alpha asymmetry and delta–beta correlation during resting state and during a social performance task in high (HSA) versus low (LSA) socially anxious females. Participants performed a social performance task in which they first watched and evaluated a video of a peer, and then prepared their own speech. They believed that their speech would be videotaped and evaluated by a peer. We found that HSA participants showed significant negative delta–beta correlation as compared to LSA participants during both anticipation of and recovery from the stressful social situation. This negative delta–beta correlation might reflect increased activity in subcortical brain regions and decreased activity in cortical brain regions. As we hypothesized, no group differences in delta–beta correlation were found during the resting state. This could indicate that a certain level of stress is needed to find EEG measures of social anxiety. As for frontal alpha asymmetry, we did not find any group differences. The present frontal alpha asymmetry results are discussed in relation to the evident inconsistencies in the frontal alpha asymmetry literature. Together, our results suggest that delta–beta correlation is a putative EEG measure of social anxiety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.3758/s13415-016-0455-y) contains supplementary material, which is available to authorized users. Springer US 2016-08-24 2016 /pmc/articles/PMC5153416/ /pubmed/27557885 http://dx.doi.org/10.3758/s13415-016-0455-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Harrewijn, A.
Van der Molen, M. J. W.
Westenberg, P. M.
Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title_full Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title_fullStr Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title_full_unstemmed Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title_short Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
title_sort putative eeg measures of social anxiety: comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153416/
https://www.ncbi.nlm.nih.gov/pubmed/27557885
http://dx.doi.org/10.3758/s13415-016-0455-y
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