Baseline delta sleep ratio predicts acute ketamine mood response in major depressive disorder.

Journal Article (Clinical Trial;Journal Article)

Background

Electroencephalographic (EEG) sleep slow wave activity (SWA; EEG power between 0.6 and 4Hz) has been proposed as a marker of central synaptic plasticity. Decreased generation of sleep slow waves--a core feature of sleep in depression--indicates underlying plasticity changes in the disease. Various measures of SWA have previously been used to predict antidepressant treatment response. This study examined the relationship between baseline patterns of SWA in the first two NREM episodes and antidepressant response to an acute infusion of the N-methyl-d-aspartate (NMDA) antagonist ketamine.

Methods

Thirty patients (20M, 10F, 18-65) fulfilling DSM-IV criteria for treatment-resistant major depressive disorder (MDD) who had been drug-free for two weeks received a single open-label infusion of ketamine hydrochloride (.5mg/kg) over 40 min. Depressive symptoms were assessed with the Montgomery-Asberg Depression Rating Scale (MADRS) before and after ketamine infusion. Sleep recordings were obtained the night before the infusion and were visually scored. SWA was computed for individual artifact-free NREM sleep epochs, and averaged for each NREM episode. Delta sleep ratio (DSR) was calculated as SWA(NREM1)/SWA(NREM2).

Results

A significant positive correlation was observed between baseline DSR and reduced MADRS scores from baseline to Day 1 (r=.414, p=.02).

Limitations

The sample size was relatively small (N=30) and all subjects had treatment-resistant MDD, which may limit the generalizability of the findings. Further studies are needed to replicate and extend this observation to other patient groups.

Conclusions

DSR may be a useful baseline predictor of ketamine response in individuals with treatment-resistant MDD.

Full Text

Duke Authors

Cited Authors

  • Duncan, WC; Selter, J; Brutsche, N; Sarasso, S; Zarate, CA

Published Date

  • February 2013

Published In

Volume / Issue

  • 145 / 1

Start / End Page

  • 115 - 119

PubMed ID

  • 22871531

Pubmed Central ID

  • PMC3494813

Electronic International Standard Serial Number (EISSN)

  • 1573-2517

International Standard Serial Number (ISSN)

  • 0165-0327

Digital Object Identifier (DOI)

  • 10.1016/j.jad.2012.05.042

Language

  • eng