Literature DB >> 6596588

Application of automated REM and slow wave sleep analysis: I. Normal and depressed subjects.

D J Kupfer, R F Ulrich, P A Coble, D B Jarrett, V Grochocinski, J Doman, G Matthews, A A Borbély.   

Abstract

Computerized analysis of rapid eye movement (REM) and delta electroencephalographic (EEG) sleep patterns in normal and depressed subjects offers opportunities to examine sleep more precisely than previously possible. In the present study, automated REM analyses demonstrated good reliability with traditional manual procedures in both normal and depressed subjects. However, automated delta analyses correlated well with traditional scoring in normal subjects, but not in depressed patients. These findings suggest the use of automated delta techniques similar to those employed in this report or spectral analytic techniques in the following types of studies: specificity of delta sleep in various psychiatric syndromes, changes in delta sleep produced by the administration of psychotropic agents, relationships between delta sleep and sleep-related neuro-endocrine patterns, and, finally, relationships between delta sleep patterns and other biological rhythms such as activity and temperature.

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Year:  1984        PMID: 6596588     DOI: 10.1016/0165-1781(84)90080-5

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  2 in total

1.  Quantitative EEG amplitude across REM sleep periods in depression: preliminary report.

Authors:  Marcus P Liscombe; Robert F Hoffmann; Madhukar H Trivedi; Marc K Parker; A John Rush; Roseanne Armitage
Journal:  J Psychiatry Neurosci       Date:  2002-01       Impact factor: 6.186

2.  Brief treatment of co-occurring post-traumatic stress and depressive symptoms by use of accelerated resolution therapy(®).

Authors:  Kevin E Kip; Kelly L Sullivan; Cecile A Lengacher; Laney Rosenzweig; Diego F Hernandez; Rajendra Kadel; Frank A Kozel; Amy Shuman; Sue Ann Girling; Marian J Hardwick; David M Diamond
Journal:  Front Psychiatry       Date:  2013-03-08       Impact factor: 4.157

  2 in total

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