Sleep and treatment response in depression: New findings using power spectral analysis

Daniel J. Buysse*, Martica Hall, Amy Begley, Christine R. Cherry, Patricia R. Houck, Stephanie Land, Hernando Ombao, David J. Kupfer, Ellen Frank

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

This study examined quantitative measures of sleep electroencephalogram (EEG) and phasic rapid eye movements (REM) as correlates of remission and recovery in depressed patients. To address correlates of remission, pre-treatment EEG sleep studies were examined in 130 women outpatients with major depressive disorder treated with interpersonal psychotherapy (IPT). To address correlates of recovery, baseline and post-treatment EEG sleep studies were examined in 23 women who recovered with IPT alone and 23 women who recovered with IPT + fluoxetine. Outcomes included EEG power spectra during non-rapid eye movement (NREM) sleep and REM sleep and quantitative REMs. IPT non-remitters had increased phasic REM compared with remitters, but no significant differences in EEG power spectra. IPT + fluoxetine recoverers, but not IPT recoverers, showed increases in phasic REM and REM percentage from baseline to recovery. In NREM sleep, the IPT + fluoxetine group showed a decrease in alpha power from baseline to recovery, while the IPT group showed a slight increase. The number of REMs was a more robust correlate of remission and recovery than modeled quantitative EEG spectra during NREM or REM sleep. Quantitative REMs may provide a more direct measure of brainstem function and dysfunction during REM sleep than quantitative sleep EEG measures.

Original languageEnglish (US)
Pages (from-to)51-67
Number of pages17
JournalPsychiatry Research
Volume103
Issue number1
DOIs
StatePublished - Aug 5 2001

Keywords

  • Depression
  • Electroencephalogram
  • Rapid eye movement sleep
  • Sleep
  • Spectral analysis
  • Treatment

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry

Fingerprint Dive into the research topics of 'Sleep and treatment response in depression: New findings using power spectral analysis'. Together they form a unique fingerprint.

Cite this