Pharmacopsychiatry 2007; 40 - A161
DOI: 10.1055/s-2007-991836

Analysis of Sleep-EEG from Depressed Patients

C Figueroa 1, U Schwarz 1, J Kurths 1, S Postnova 2, H Braun 2, U Hemmeter 3
  • 1Nonlinear Dynamics Group, Institute for Physics, University of Potsdam, Germany
  • 2Institute of Physiology, University of Marburg, Germany
  • 3Psychiatric Department, University of Marburg, Germany
  • 4

Disturbances of sleep are a prominent symptom of various disorders. Such disturbances are mostly analyzed on the level of sleep stages (hypnograms, see Fig.1 and Fig.2), which can be extracted from the EEG, EMG and EOG data. Sleep is subdivided to REM and non-REM sleep. REM-sleep is characterized by high frequency activity registered in EEG; rapid eye movements (EOG) and lack of muscle tone (EMG). Non-REM sleep is subdivided to 4 parts: stage 1 to 4. Stages 3 and 4 are also called slow wave sleep (SWS) or deep sleep and characterized by very low frequency oscillations of high amplitude. In the present study we develop an approach to analyze sleep-EEG data from depressed patients. We use outlier analysis, short time window spectral analysis and wavelet decomposition analysis on data obtained from depressive subjects before and after treatment with mirtazapine.

This study was supported by Biosim