| Title |
Putative EEG measures of social anxiety: Comparing frontal alpha asymmetry and delta–beta cross-frequency correlation
|
|---|---|
| Published in |
Cognitive, Affective, & Behavioral Neuroscience, August 2016
|
| DOI | 10.3758/s13415-016-0455-y |
| Pubmed ID | |
| Authors |
A. Harrewijn, M. J. W. Van der Molen, P. M. Westenberg |
| Abstract |
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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 18% |
| Student > Bachelor | 23 | 16% |
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 13 | 9% |
| Student > Doctoral Student | 8 | 6% |
| Other | 23 | 16% |
| Unknown | 27 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 46 | 33% |
| Neuroscience | 18 | 13% |
| Engineering | 10 | 7% |
| Medicine and Dentistry | 7 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Other | 17 | 12% |
| Unknown | 37 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2016.
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#4,290,790
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Outputs from Cognitive, Affective, & Behavioral Neuroscience
#203
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Outputs of similar age
#68,433
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Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#3
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