Research output: Contribution to journal › Article › peer-review
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.Research output: Contribution to journal › Article › peer-review
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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