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EEG cross-frequency correlations as a marker of predisposition to affective disorders
EEG cross-frequency amplitude-amplitude correlation (CF-AAC) has been considered as a potential marker of social anxiety and other affective disturbances. Functional significance of this phenomenon remains unclear, partly because the majority of studies used channel-level analysis, which precluded t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895656/ https://www.ncbi.nlm.nih.gov/pubmed/31844779 http://dx.doi.org/10.1016/j.heliyon.2019.e02942 |
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author | Knyazev, Gennady G. Savostyanov, Alexander N. Bocharov, Andrey V. Aftanas, Lyubomir I. |
author_facet | Knyazev, Gennady G. Savostyanov, Alexander N. Bocharov, Andrey V. Aftanas, Lyubomir I. |
author_sort | Knyazev, Gennady G. |
collection | PubMed |
description | EEG cross-frequency amplitude-amplitude correlation (CF-AAC) has been considered as a potential marker of social anxiety and other affective disturbances. Functional significance of this phenomenon remains unclear, partly because the majority of studies used channel-level analysis, which precluded the spatial localization of observed effects. It is not also clear whether CF-AAC may serve as a marker of specific pathological conditions and specific states, or a more general predisposition to affective disturbances. We used source-level analysis of EEG data obtained in resting conditions in a nonclinical sample and patients with major depressive disorder (MDD) and investigated associations of CF-AAC measures with a broad range of known risk factors for affective disorders, including age, gender, genotype, stress exposure, personality, and self-reported ‘neurotic’ symptomatology. A consistent pattern of associations showed that all investigated risk factors were associated with an enhancement of CF-AAC in cortical regions associated with emotional and self-referential processing. It could be concluded that CF-AAC is a promising candidate marker of a general predisposition to affective disorders at preclinical stages. |
format | Online Article Text |
id | pubmed-6895656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68956562019-12-16 EEG cross-frequency correlations as a marker of predisposition to affective disorders Knyazev, Gennady G. Savostyanov, Alexander N. Bocharov, Andrey V. Aftanas, Lyubomir I. Heliyon Article EEG cross-frequency amplitude-amplitude correlation (CF-AAC) has been considered as a potential marker of social anxiety and other affective disturbances. Functional significance of this phenomenon remains unclear, partly because the majority of studies used channel-level analysis, which precluded the spatial localization of observed effects. It is not also clear whether CF-AAC may serve as a marker of specific pathological conditions and specific states, or a more general predisposition to affective disturbances. We used source-level analysis of EEG data obtained in resting conditions in a nonclinical sample and patients with major depressive disorder (MDD) and investigated associations of CF-AAC measures with a broad range of known risk factors for affective disorders, including age, gender, genotype, stress exposure, personality, and self-reported ‘neurotic’ symptomatology. A consistent pattern of associations showed that all investigated risk factors were associated with an enhancement of CF-AAC in cortical regions associated with emotional and self-referential processing. It could be concluded that CF-AAC is a promising candidate marker of a general predisposition to affective disorders at preclinical stages. Elsevier 2019-11-29 /pmc/articles/PMC6895656/ /pubmed/31844779 http://dx.doi.org/10.1016/j.heliyon.2019.e02942 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Knyazev, Gennady G. Savostyanov, Alexander N. Bocharov, Andrey V. Aftanas, Lyubomir I. EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title | EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title_full | EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title_fullStr | EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title_full_unstemmed | EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title_short | EEG cross-frequency correlations as a marker of predisposition to affective disorders |
title_sort | eeg cross-frequency correlations as a marker of predisposition to affective disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895656/ https://www.ncbi.nlm.nih.gov/pubmed/31844779 http://dx.doi.org/10.1016/j.heliyon.2019.e02942 |
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