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State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework
OBJECTIVE: Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Neuropsychiatric Association
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233952/ https://www.ncbi.nlm.nih.gov/pubmed/35753683 http://dx.doi.org/10.30773/pi.2022.0011 |
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author | Kim, Kyoung Min Bong, Su Hyun Byeon, Jun Kim, Jun Won |
author_facet | Kim, Kyoung Min Bong, Su Hyun Byeon, Jun Kim, Jun Won |
author_sort | Kim, Kyoung Min |
collection | PubMed |
description | OBJECTIVE: Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across the differential diagnosis, rather than focusing on the diagnosis. METHODS: A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz). RESULTS: State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r=-0.484) and central (Cz, r=-0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r= -0.523), central (Cz, r=-0.568), parietal (P7, r=-0.500; P8, r=-0.541), and occipital (O1, r=-0.510; O2, r=-0.480) regions. CONCLUSION: The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed. |
format | Online Article Text |
id | pubmed-9233952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Neuropsychiatric Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-92339522022-07-08 State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework Kim, Kyoung Min Bong, Su Hyun Byeon, Jun Kim, Jun Won Psychiatry Investig Original Article OBJECTIVE: Diagnosis of anxiety has relied primarily on self-report. This study aimed to investigate the neural correlates of anxiety with quantitative electroencephalography (qEEG) focusing on the state and trait anxiety defined according to the Research Domain Criteria framework existing across the differential diagnosis, rather than focusing on the diagnosis. METHODS: A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz). RESULTS: State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r=-0.484) and central (Cz, r=-0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r= -0.523), central (Cz, r=-0.568), parietal (P7, r=-0.500; P8, r=-0.541), and occipital (O1, r=-0.510; O2, r=-0.480) regions. CONCLUSION: The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed. Korean Neuropsychiatric Association 2022-06 2022-06-15 /pmc/articles/PMC9233952/ /pubmed/35753683 http://dx.doi.org/10.30773/pi.2022.0011 Text en Copyright © 2022 Korean Neuropsychiatric Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kim, Kyoung Min Bong, Su Hyun Byeon, Jun Kim, Jun Won State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title | State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title_full | State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title_fullStr | State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title_full_unstemmed | State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title_short | State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework |
title_sort | state and trait anxiety related gamma oscillations in patients with anxiety within the research domain criteria framework |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233952/ https://www.ncbi.nlm.nih.gov/pubmed/35753683 http://dx.doi.org/10.30773/pi.2022.0011 |
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