Abnormal resting-state EEG phase dynamics distinguishes major depressive disorder and bipolar disorder

Stephan Lechner, Georg Northoff

Research output: Contribution to journalArticlepeer-review

Abstract

Changes in EEG have been reported in both major depressive disorder (MDD) and bipolar disorder (BD). Specifically, power changes in EEG alpha and theta frequency bands during rest and task are known in both disorders. This leaves open whether there are changes in yet another component of the electrophysiological EEG signal, namely phase-related processes that may allow for distinguishing MDD and BD. For that purpose, we investigate EEG-based spontaneous phase in the resting state of MDD, BD and healthy controls. Our main findings show: (i) decreased spontaneous phase variability in frontal theta of both MDD and BD compared to HC; (ii) decreased spontaneous phase variability in central-parietal alpha in MDD compared to both BD and HC; (iii) increased delays or lags of alpha phase cycles in MDD (but not in BD), which (iv) correlate with the decreased phase variability in MDD. Together, we show similar (decreased frontal theta variability) and distinct (decreased central-parietal alpha variability with increased lags or delays) findings in the spontaneous phase dynamics of MDD and BD. This suggests potential relevance of theta and alpha phase dynamics in distinguishing MDD and BD in clinical differential-diagnosis.

Original languageEnglish
Pages (from-to)269-276
Number of pages8
JournalJournal of Affective Disorders
Volume359
DOIs
Publication statusPublished - Aug 15 2024
Externally publishedYes

Keywords

  • Bipolar disorder
  • Differential diagnosis
  • Major depressive disorder
  • Oscillatory phase
  • Phase variability
  • Resting state EEG

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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