EEG sleep, depression, and aging

Kupfer, David J.; Reynolds, Charles F.; Ulrich, Richard F.; Shaw, David H.; Coble, Patricia A.

doi:10.1016/0197-4580(82)90023-9

Cited by 53 publications

(19 citation statements)

References 34 publications

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“…However, it should be mentioned that age was negatively associated with REM latency in bulimic patients. This link is reported to be typical in depression and does not characterize healthy subjects (Ulrich et al, 1980;Gillin et al, 1981;Kupfer et al, 1982;Lahmeyer et al, 1983).…”

Section: Eating Disorders Controlsmentioning

confidence: 99%

EEG sleep and the cholinergic REM induction test in anorexic and bulimic patients

Lauer

Zulley

Krieg

et al. 1988

Psychiatry Research

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Abstract. The electroencephalographic (EEG) sleep of 20 anorexic patients, 10 bulimic patients, and 10 age-matched healthy controls was studied. In addition, six anorexic patients and six bulimic patients had a cholinergic rapid eye movement (REM) sleep induction test (RIT) performed with the cholinergic agent RS 86. The three samples showed no major differences in sleep patterns. The same held true when attention was focused on patients who additionally met D&U-Illcriteria for major depression. The RIT results were similar in the patients with eating disorders and in controls, but differed from those reported in depressives. Therefore, the present study found no hints of depression-like sleep patterns in patients with eating disorders.

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Section: Eating Disorders Controlsmentioning

confidence: 99%

EEG sleep and the cholinergic REM induction test in anorexic and bulimic patients

Lauer

Zulley

Krieg

et al. 1988

Psychiatry Research

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“…However, these are not specific for schizophre nia, not all schizophrenic patients have these changes, and a good deal of variability exists across studies in the litera ture [1,2], This may be related to many sources of vari ance affecting sleep physiology [1,3,4], These include age, gender, inpatient/outpatient status, illness severity, and illness duration [1,5], In normal subjects, sleep pat terns change as a function of aging both in regard to sleep continuity and architecture, with reduction in SWS and shortening of REM latency [6][7][8][9][10][11][12][13], as well as intranight distribution of SWS and REM sleep [14,15]. There is some evidence for gender-related differences in sleep parameters in young healthy subjects [16], as well as dur ing healthy aging [17]; nocturnal myoclonus and sleeprelated breathing disorders appear to be more prevalent in elderly males than in females [18], The age-dependent reductions in SWS appear to be more prominent in healthy male seniors [15], In depressive patients, sleep abnormalities tend to worsen with advancing age [ 19] and SWS deficits are more pronounced in males than in females [12,20,21], Apart from introducing potential methodological con founds, gender-and age-related variations in sleep physi ology may have important implications for the patho- physiological substrate of the major psychoses. It is well known that there are gender differences in the age of onset, symptomatology, natural course, treatment re sponse, familial transmission, and outcome, as well as the frequency of neurobiological abnormalities in schizophre nia; specifically, male schizophrenic patients have earlier onset, poorer treatment response, more frequent neuro psychological impairment, brain structural abnormalities on magnetic resonance imaging (MRI), and a more pro tracted course of illness [22][23][24], The gender differences in clinical profiles appear to be seen not only in schizo phrenia, but also in schizoaffective and affective disor ders, though they are less compelling …”

Section: Introductionmentioning

confidence: 99%

Sleep EEG Changes in Psychotic Disorders: Gender and Age Effects

Keshavan¹,

Reynolds²,

Haas³

et al. 1995

Neuropsychobiology

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The aim of this study was to examine gender-related differences in electroen-cephalographic (EEG) sleep in inpatients with psychotic disorders. We investigated the effects of gender and age as well as gender-by-age interactions on sleep continuity, architecture and intranight distributions in 38 male and 23 female patients with functional psychoses. No gender effects were seen for any sleep parameters. However, older psychotic males had less slow-wave sleep than older psychotic females. On the other hand, female psychotic patients showed a significant decline in automated REM counts with age. It is possible that gender-related differences in neurodevelopment and/or aging could account for these findings.

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“…6 Comparing cluster 1 with the ASDC nosology (Table 4), we find most good sleepers classified here, as well as most of the 13 patients whom ASDC had classified as having insomnia complaints without objective findings. It seems important to note that the cluster analysis was unable to separate these two groups.…”

Section: Cluster 1 Good Sleeper and Insomnia Complaint Without Objmentioning

confidence: 71%

“…6, No. 4,1983 Downloaded from https://academic.oup.com/sleep/article-abstract/6/4/326/2281346 by guest on 06 June 2019 both recognized by mathematical analysis as distinct subgroups of insomnia, although the cluster analysis drew the demarcations around persistent psychophysiologic insomnia more narrowly than the ASDC nosology did.…”

Section: Discussionmentioning

confidence: 99%

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A Cluster Analysis of Insomnia

Hauri

1983

Sleep

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Summary: Data from three consecutive nights in the sleep laboratory and data from psychological questionnaires and interviews were cluster-analyzed. A total of 89 physician-referred insomniacs were included, together with 10 good sleepers. The goal was to develop a purely empirical classification scheme of insomnia and to compare it with the Association of Sleep Disorders Centers' current nosology, which is based on clinical experience. The categories of chronic psychophysiologic insomnia and of childhood-onset insomnia were clearly identified in the cluster analysis. The insomnias associated with psychiatric disorders were split into five subgroups that made some intuitive sense, but did not mesh exactly with DSM III (Diagnostic and Statistical Manual, 3rd edition, American Psychiatric Association) categories. Key Words: Cluster analysis-Nosology -Insomnia-Childhood-onset-Psychophysiology.Over the last decade it has become clear that there are different kinds of insomnia and that each of them might require a specific method of treatment (l-4). A comprehensive nosologic scheme of insomnia has recently been proposed by the Association of Sleep Disorders Centers (ASDC) (5). This nine-point classification system of "Disorders of Initiating and Maintaining Sleep" (DIMS = Insomnia) is based on the best clinical judgement available from a group of experts. However, there is little research evidence supporting some of the ASDC categories.For the current study, it was decided to investigate how far a purely mathematicalempirical approach might lead in the subclassification of insomnia, and how far the results of such an approach might correspond with the clinical (ASDC) nosology. This would be of interest, because one's faith in a classification scheme improves as conceptually very different diagnostic approaches converge on essentially similar categories. In addition, there is always the possibility that a purely mathematical-empirical approach to a nosological problem might detect useful new associations between patients that may have been overlooked because of preconceived notions about clinical reality.Cluster analysis is a mathematical tool designed to sort objects (insomniacs) into subgroups that make multivariate sense. This means that the procedure simultaneously takes into consideration all the measured attributes of each patient when subgroup

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EEG sleep, depression, and aging

Cited by 53 publications

References 34 publications

EEG sleep and the cholinergic REM induction test in anorexic and bulimic patients

EEG sleep and the cholinergic REM induction test in anorexic and bulimic patients

Sleep EEG Changes in Psychotic Disorders: Gender and Age Effects

A Cluster Analysis of Insomnia

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