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Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder
BACKGROUND: Due to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381950/ https://www.ncbi.nlm.nih.gov/pubmed/35990051 http://dx.doi.org/10.3389/fpsyt.2022.827536 |
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author | Zhang, Yu Lei, Lei Liu, Ziwei Gao, Mingxue Liu, Zhifen Sun, Ning Yang, Chunxia Zhang, Aixia Wang, Yikun Zhang, Kerang |
author_facet | Zhang, Yu Lei, Lei Liu, Ziwei Gao, Mingxue Liu, Zhifen Sun, Ning Yang, Chunxia Zhang, Aixia Wang, Yikun Zhang, Kerang |
author_sort | Zhang, Yu |
collection | PubMed |
description | BACKGROUND: Due to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric diseases. The purpose of this study was to investigate the differences in EEG power spectrum at theta oscillations between patients with MDD and patients with AN. METHODS: Spectral analysis was used to study 66 patients with MDD and 43 patients with AN. Participants wore 16-lead EEG caps to measure resting EEG signals. The EEG power spectrum was measured using the fast Fourier transform. Independent samples t-test was used to analyze the EEG power values of the two groups, and p < 0.05 was statistically significant. RESULTS: EEG power spectrum of the MDD group significantly differed from the AN group in the theta oscillation on 4–7 Hz at eight electrode points at F3, O2, T3, P3, P4, FP1, FP2, and F8. CONCLUSION: Participants with anxiety demonstrated reduced power in the prefrontal cortex, left temporal lobe, and right occipital regions. Confirmed by further studies, theta oscillations could be another biomarker that distinguishes MDD from AN. |
format | Online Article Text |
id | pubmed-9381950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93819502022-08-18 Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder Zhang, Yu Lei, Lei Liu, Ziwei Gao, Mingxue Liu, Zhifen Sun, Ning Yang, Chunxia Zhang, Aixia Wang, Yikun Zhang, Kerang Front Psychiatry Psychiatry BACKGROUND: Due to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric diseases. The purpose of this study was to investigate the differences in EEG power spectrum at theta oscillations between patients with MDD and patients with AN. METHODS: Spectral analysis was used to study 66 patients with MDD and 43 patients with AN. Participants wore 16-lead EEG caps to measure resting EEG signals. The EEG power spectrum was measured using the fast Fourier transform. Independent samples t-test was used to analyze the EEG power values of the two groups, and p < 0.05 was statistically significant. RESULTS: EEG power spectrum of the MDD group significantly differed from the AN group in the theta oscillation on 4–7 Hz at eight electrode points at F3, O2, T3, P3, P4, FP1, FP2, and F8. CONCLUSION: Participants with anxiety demonstrated reduced power in the prefrontal cortex, left temporal lobe, and right occipital regions. Confirmed by further studies, theta oscillations could be another biomarker that distinguishes MDD from AN. Frontiers Media S.A. 2022-08-03 /pmc/articles/PMC9381950/ /pubmed/35990051 http://dx.doi.org/10.3389/fpsyt.2022.827536 Text en Copyright © 2022 Zhang, Lei, Liu, Gao, Liu, Sun, Yang, Zhang, Wang and Zhang. https://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 | Psychiatry Zhang, Yu Lei, Lei Liu, Ziwei Gao, Mingxue Liu, Zhifen Sun, Ning Yang, Chunxia Zhang, Aixia Wang, Yikun Zhang, Kerang Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title | Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title_full | Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title_fullStr | Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title_full_unstemmed | Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title_short | Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder |
title_sort | theta oscillations: a rhythm difference comparison between major depressive disorder and anxiety disorder |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381950/ https://www.ncbi.nlm.nih.gov/pubmed/35990051 http://dx.doi.org/10.3389/fpsyt.2022.827536 |
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