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.
Original language | English |
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Article number | e02942 |
Number of pages | 10 |
Journal | Heliyon |
Volume | 5 |
Issue number | 11 |
DOIs | |
Publication status | Published - 1 Nov 2019 |
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