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EEG cross-frequency correlations as a marker of predisposition to affective disorders. / Knyazev, Gennady G.; Savostyanov, Alexander N.; Bocharov, Andrey V. et al.

In: Heliyon, Vol. 5, No. 11, e02942, 01.11.2019.

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@article{382d8727356043b1b6dc29ef32325ea9,
title = "EEG cross-frequency correlations as a marker of predisposition to affective disorders",
abstract = "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.",
keywords = "5-HTTLPR, Biological psychiatry, Cross-frequency correlations, Depression, EEG, Emotion, Individual differences, Major depressive disorder, Mental disorder, Neuroscience, Personality, Physiology, Source-level analysis, Stress, DEPRESSION, SOCIAL ANXIETY, DEFAULT-MODE, POLYMORPHISM 5-HTTLPR, STRESSFUL LIFE EVENTS, BETA OSCILLATIONS, BRAIN OSCILLATIONS, GENDER-DIFFERENCES, ASSOCIATION, DELTA-OSCILLATIONS",
author = "Knyazev, {Gennady G.} and Savostyanov, {Alexander N.} and Bocharov, {Andrey V.} and Aftanas, {Lyubomir I.}",
note = "{\textcopyright} 2019 Published by Elsevier Ltd.",
year = "2019",
month = nov,
day = "1",
doi = "10.1016/j.heliyon.2019.e02942",
language = "English",
volume = "5",
journal = "Heliyon",
issn = "2405-8440",
publisher = "Elsevier",
number = "11",

}

RIS

TY - JOUR

T1 - EEG cross-frequency correlations as a marker of predisposition to affective disorders

AU - Knyazev, Gennady G.

AU - Savostyanov, Alexander N.

AU - Bocharov, Andrey V.

AU - Aftanas, Lyubomir I.

N1 - © 2019 Published by Elsevier Ltd.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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.

KW - 5-HTTLPR

KW - Biological psychiatry

KW - Cross-frequency correlations

KW - Depression

KW - EEG

KW - Emotion

KW - Individual differences

KW - Major depressive disorder

KW - Mental disorder

KW - Neuroscience

KW - Personality

KW - Physiology

KW - Source-level analysis

KW - Stress

KW - DEPRESSION

KW - SOCIAL ANXIETY

KW - DEFAULT-MODE

KW - POLYMORPHISM 5-HTTLPR

KW - STRESSFUL LIFE EVENTS

KW - BETA OSCILLATIONS

KW - BRAIN OSCILLATIONS

KW - GENDER-DIFFERENCES

KW - ASSOCIATION

KW - DELTA-OSCILLATIONS

UR - http://www.scopus.com/inward/record.url?scp=85075568814&partnerID=8YFLogxK

U2 - 10.1016/j.heliyon.2019.e02942

DO - 10.1016/j.heliyon.2019.e02942

M3 - Article

C2 - 31844779

AN - SCOPUS:85075568814

VL - 5

JO - Heliyon

JF - Heliyon

SN - 2405-8440

IS - 11

M1 - e02942

ER -

ID: 22406549