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

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4 Citations (Scopus)

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 languageEnglish
Article numbere02942
Number of pages10
JournalHeliyon
Volume5
Issue number11
DOIs
Publication statusPublished - 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

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