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 -