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A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters

OBJECTIVES: QEEG reflects neuronal activity directly rather than using indirect parameters, such as blood deoxygenation and glucose utilization, as in fMRI and PET. The correlation between QEEG spectral power density and Symptom Check List-90-R may help identify biomarkers pertaining to brain functi...

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Autores principales: Kesebir, Sermin, Yosmaoglu, Ahmet, Tarhan, Nevzat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420965/
https://www.ncbi.nlm.nih.gov/pubmed/36046155
http://dx.doi.org/10.3389/fpsyt.2022.651008
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author Kesebir, Sermin
Yosmaoglu, Ahmet
Tarhan, Nevzat
author_facet Kesebir, Sermin
Yosmaoglu, Ahmet
Tarhan, Nevzat
author_sort Kesebir, Sermin
collection PubMed
description OBJECTIVES: QEEG reflects neuronal activity directly rather than using indirect parameters, such as blood deoxygenation and glucose utilization, as in fMRI and PET. The correlation between QEEG spectral power density and Symptom Check List-90-R may help identify biomarkers pertaining to brain function, associated with affective disorder symptoms. This study aims at determining whether there is a relation between QEEG spectral power density and Symptom Check List-90-R symptom scores in affective disorders. METHODS: This study evaluates 363 patients who were referred for the initial application and diagnosed with affective disorders according to DSM-V, with QEEG and Scl-90-R. Spectral power density was calculated for the 18 electrodes representing brain regions. RESULTS: Somatization scores were found to be correlated with Pz and O1 theta, O1 and O2 high beta. Whereas FP1 delta activities were correlated with anxiety, F3, F4, and Pz theta were correlated with obsession scores. Interpersonal sensitivity scores were found to be correlated with F4 delta, P3, T5, P4, T6 alpha and T5, and T6 theta activities. While depression scores were correlated with P3 and T4 delta, as well as T4 theta, there was a correlation between anger and F4, as well as T4 alpha and F8 high beta activities. Paranoia scores are correlated with FP1, F7, T6 and F8 theta, T5 and F8 delta, and O2 high beta activities. CONCLUSIONS: According to our results, anxiety, obsession, interpersonal sensitivity, depression, anger, and paranoia are related to some spectral powers of QEEG. Delta-beta coupling seems to be a neural biomarker for affective dysregulation.
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spelling pubmed-94209652022-08-30 A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters Kesebir, Sermin Yosmaoglu, Ahmet Tarhan, Nevzat Front Psychiatry Psychiatry OBJECTIVES: QEEG reflects neuronal activity directly rather than using indirect parameters, such as blood deoxygenation and glucose utilization, as in fMRI and PET. The correlation between QEEG spectral power density and Symptom Check List-90-R may help identify biomarkers pertaining to brain function, associated with affective disorder symptoms. This study aims at determining whether there is a relation between QEEG spectral power density and Symptom Check List-90-R symptom scores in affective disorders. METHODS: This study evaluates 363 patients who were referred for the initial application and diagnosed with affective disorders according to DSM-V, with QEEG and Scl-90-R. Spectral power density was calculated for the 18 electrodes representing brain regions. RESULTS: Somatization scores were found to be correlated with Pz and O1 theta, O1 and O2 high beta. Whereas FP1 delta activities were correlated with anxiety, F3, F4, and Pz theta were correlated with obsession scores. Interpersonal sensitivity scores were found to be correlated with F4 delta, P3, T5, P4, T6 alpha and T5, and T6 theta activities. While depression scores were correlated with P3 and T4 delta, as well as T4 theta, there was a correlation between anger and F4, as well as T4 alpha and F8 high beta activities. Paranoia scores are correlated with FP1, F7, T6 and F8 theta, T5 and F8 delta, and O2 high beta activities. CONCLUSIONS: According to our results, anxiety, obsession, interpersonal sensitivity, depression, anger, and paranoia are related to some spectral powers of QEEG. Delta-beta coupling seems to be a neural biomarker for affective dysregulation. Frontiers Media S.A. 2022-08-15 /pmc/articles/PMC9420965/ /pubmed/36046155 http://dx.doi.org/10.3389/fpsyt.2022.651008 Text en Copyright © 2022 Kesebir, Yosmaoglu and Tarhan. 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
Kesebir, Sermin
Yosmaoglu, Ahmet
Tarhan, Nevzat
A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title_full A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title_fullStr A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title_full_unstemmed A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title_short A dimensional approach to affective disorder: The relations between Scl-90 subdimensions and QEEG parameters
title_sort dimensional approach to affective disorder: the relations between scl-90 subdimensions and qeeg parameters
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420965/
https://www.ncbi.nlm.nih.gov/pubmed/36046155
http://dx.doi.org/10.3389/fpsyt.2022.651008
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