Literature DB >> 9477927

Electroencephalographic sleep profiles before and after cognitive behavior therapy of depression.

M E Thase1, A L Fasiczka, S R Berman, A D Simons, C F Reynolds.   

Abstract

BACKGROUND: Previous studies have not fully resolved the state-dependent vs traitlike behavior of the electroencephalographic sleep abnormalities associated with depression. We therefore examined the sleep profiles of depressed patients before and after 16 weeks of treatment with cognitive behavior therapy to determine the stability or reversibility of selected abnormalities.
METHODS: Seventy-eight unmedicated patients with major depressive disorder were stratified into abnormal and normal subgroups on the basis of pretreatment sleep study results. Two prospectively defined types of sleep variables were studied: those expected to be traitlike or state independent (type 1) and those predicted to be reversible or state dependent (type 2).
RESULTS: The type 1 sleep disturbances (reduced rapid eye movement latency, decreased delta sleep ratio, and decreased slow wave sleep [in percentage]) were stable, as predicted, across time. A composite measure of type 2 disturbances (based on rapid eye movement latency, sleep efficiency, and rapid eye movement density) improved significantly, although a minority of patients in remission had persistent abnormalities.
CONCLUSIONS: The electroencephalographic sleep correlates of depression can be disaggregated into state-independent and partially reversible subgroups. Persistent sleep disturbances in remitted patients may have ominous prognostic implications.

Entities:  

Mesh:

Year:  1998        PMID: 9477927     DOI: 10.1001/archpsyc.55.2.138

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  25 in total

1.  Sleep Disturbances in Pediatric Depression.

Authors:  Uma Rao
Journal:  Asian J Psychiatr       Date:  2011-12

2.  Changes in EEG spectral power in the prefrontal cortex of conscious rats elicited by drugs interacting with dopaminergic and noradrenergic transmission.

Authors:  C Sebban; X Q Zhang; B Tesolin-Decros; M J Millan; M Spedding
Journal:  Br J Pharmacol       Date:  1999-11       Impact factor: 8.739

3.  The Munich vulnerability study on affective disorders: microstructure of sleep in high-risk subjects.

Authors:  Elisabeth Friess; Sieglinde Modell; Hans Brunner; Hirokuni Tagaya; Christoph J Lauer; Florian Holsboer; Marcus Ising
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-05-26       Impact factor: 5.270

Review 4.  An Integrated Model of Slow-Wave Activity and Neuroplasticity Impairments in Major Depressive Disorder.

Authors:  Jennifer R Goldschmied; Philip Gehrman
Journal:  Curr Psychiatry Rep       Date:  2019-03-18       Impact factor: 5.285

5.  Sleep state instabilities in major depressive disorder: Detection and quantification with electrocardiogram-based cardiopulmonary coupling analysis.

Authors:  Albert C Yang; Cheng-Hung Yang; Chen-Jee Hong; Shih-Jen Tsai; Chung-Hsun Kuo; Chung-Kang Peng; Joseph E Mietus; Ary L Goldberger; Robert J Thomas
Journal:  Psychophysiology       Date:  2011-02       Impact factor: 4.016

6.  Effects of age and alcoholism on sleep: a controlled study.

Authors:  K J Brower; J M Hall
Journal:  J Stud Alcohol       Date:  2001-05

Review 7.  Cognitive Behavioral Therapy for Insomnia in Depression.

Authors:  Lauren D Asarnow; Rachel Manber
Journal:  Sleep Med Clin       Date:  2019-03-29

Review 8.  [Sleep disorders in depression. Suggestions for a therapeutic approach].

Authors:  C Zimmermann; H Pfeiffer
Journal:  Nervenarzt       Date:  2007-01       Impact factor: 1.214

Review 9.  Psychiatric disorders and sleep.

Authors:  Andrew D Krystal
Journal:  Neurol Clin       Date:  2012-11       Impact factor: 3.806

10.  Detecting change in biological rhythms: a multivariate permutation test approach to Fourier-transformed data.

Authors:  Jennifer Urbano Blackford; Ronald M Salomon; Niels G Waller
Journal:  Chronobiol Int       Date:  2009-02       Impact factor: 2.877

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