Analysis of sleep EEG microstructure in subchronic paroxetine treatment of healthy subjects
| Autor: | Ralf G.M. Schlösser, P. Kögel, Otto Benkert, Klaus Mann, W. Rossbach, P. Wagner, Joachim Röschke |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Adult
Male Serotonin reuptake inhibitor Electroencephalography Non-rapid eye movement sleep Double-Blind Method medicine Humans Pharmacology Sleep Stages Sleep disorder Cross-Over Studies medicine.diagnostic_test medicine.disease Paroxetine Sleep in non-human animals Delta Rhythm Anesthesia Antidepressive Agents Second-Generation Beta Rhythm Sleep Psychology Reuptake inhibitor Selective Serotonin Reuptake Inhibitors medicine.drug |
| Zdroj: | Psychopharmacology. 132:44-49 |
| ISSN: | 1432-2072 0033-3158 |
| DOI: | 10.1007/s002130050318 |
| Popis: | Paroxetine is a selective and potent serotonin reuptake inhibitor and its efficacy for the treatment of depression has been proven. Under acute and subchronical treatment regimens, disturbances of the regular sleep pattern are a reported side effect of the drug. The present study was therefore performed to investigate the impact of subchronic treatment with the selective serotonin reuptake inhibitor paroxetine on the microstructure of the sleep EEG. The study especially addressed the question of subchronic effects of paroxetine medication (30 mg/day) in eight healthy male volunteers in a double blind, placebo-controlled crossover design. Conventional sleep EEG parameters and a spectral power analysis for different sleep stages after 4 weeks of treatment were computed. Additionally, the correlation of certain EEG rhythms across the night was calculated in order to detect subtle dynamical EEG alterations, not necessarily obvious when regarding conventional EEG analysis. Although we could not detect any alterations of the spectral power values in certain frequency bands either during NREM nor during REM sleep following subchronic paroxetine medication, the dynamical EEG attributes across the night revealed a significant enhancement of the correlation between certain EEG rhythms mainly during NREM sleep. |
| Databáze: | OpenAIRE |
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