Increased pressure for rapid eye movement sleep at time of hospital admission predicts relapse in nondepressed patients with primary alcoholism at 3-month follow-up

Insomnia, self-medication, and relapse to alcoholism

OBJECTIVE

This study was an investigation of the frequencies of insomnia and its self-medication with alcohol in a group of alcoholic patients, as well as the relationship of these variables to alcoholic relapse.

METHOD

The subjects were 172 men and women receiving treatment for alcohol dependence. They completed a sleep questionnaire, measures of alcohol problem severity and depression severity, and polysomnography after at least 2 weeks of abstinence.

RESULTS

On the basis of eight items from the Sleep Disorders Questionnaire, 61% of the subjects were classified as having symptomatic insomnia during the 6 months before treatment entry. Compared to patients without insomnia, patients with insomnia were more likely to report frequent alcohol use for sleep (55% versus 28%), had significantly worse polysomnographic measures of sleep continuity, and had more severe alcohol dependence and depression. Among 74 alcoholics who were followed a mean of 5 months after treatment, 60% with baseline insomnia versus 30% without baseline insomnia relapsed to any use of alcohol, a significant difference. Insomnia remained a robust predictor of relapse after application of logistic regression analysis to control for other variables. A history of self-medicating insomnia with alcohol did not significantly predict subsequent relapse.

CONCLUSIONS

The majority of alcoholic patients entering treatment reported insomnia symptoms. Given the potential link between insomnia and relapse, routine questions about sleep in clinical and research settings are warranted.

Preliminary evidence of an association between increased REM density and poor antidepressant response to partial sleep deprivation

BACKGROUND

One night of total sleep deprivation or of late-night partial sleep deprivation (PSD) produces a temporary remission in approximately 40-60% of patients with major depressive disorder; however, little is known about polysomnography (PSG) characteristics of responders to these types of sleep deprivation (SD).

METHODS

Twenty-three unmedicated unipolar patients (17-item Hamilton Depression Rating Scale (HDRS17) >16) and 14 normal controls underwent 1 night of late-night PSD (awake after 3 a.m.) Subjects underwent baseline PSG and received the HDRS17 at standard times before and after PSD. Clinical response was defined as a reduction of >30% in the modified HDRS17 (omitting sleep and weight loss items) following PSD.

RESULTS

The 12 responders and 11 nonresponders did not differ from each other significantly on baseline HDRS17 or PSG variables. The only PSG variable correlating with percent decrease in modified HDRS17 was baseline REM density (Pearson's r=-0.52, n=23, P=0.01.) In other words, the lower the baseline REM density, the more robust the antidepressant response was.

LIMITATIONS

Subject numbers are relatively small.

CONCLUSIONS

Increased REM density, which reflects the number of rapid eye movements per epoch of REM sleep, may be a physiological marker for severity or poor prognosis in a variety of psychiatric disorders, including relapse in recovering alcoholics, suicidality in schizophrenia, and poor response to PSD or interpersonal psychotherapy in depression.

Factors associated with the development of substance use disorder in depressed adolescents

OBJECTIVE

To document rates of substance use disorders (SUD) in adolescents with unipolar major depressive disorder and to examine demographic, clinical, and biological factors associated with the development of SUD.

METHOD

Twenty-eight adolescents with unipolar major depression and no SUD history and 35 group-matched normal controls who participated in a cross-sectional sleep polysomnography and neuroendocrine study were reassessed clinically 7 years later.

RESULTS

The risk for SUD was high in both groups (34.6% in the depressed group and 24.2% in the controls). Depressed adolescents had earlier onset of SUD than controls. Depressed adolescents who developed SUD had more significant psychosocial impairment than depressed adolescents who did not develop SUD. More anxiety traits and elevated cortisol secretion near sleep onset were associated with SUD in depressed teenagers, whereas less emotional responsiveness to exciting stimuli and higher density of eye movements during REM sleep were related to depression without SUD.

CONCLUSIONS

Depressed adolescents who have anxiety traits and whose hypothalamic-pituitary-adrenal axis is active when the system is normally quiescent may be at risk for developing SUD. Co-occurrence of depression and SUD is associated with serious psychosocial morbidity. Identification of risk factors for SUD in depressed teenagers may be helpful in developing more effective treatment and prevention programs.

Sleep, anxiety, and depression in abstinent and drinking alcoholics

A group of alcoholic men were followed-up 8 years after discharge from hospital. The interview included items on sleep, anxiety, and depression. The sample was divided into abstinent and drinking subjects. Sleep data were factor analyzed. Only the Alcohol-Abstinence Sleep Factor significantly correlated with drinking status. The Alcohol-Abstinence Sleep Factor was also the primary correlate of anxiety and depression. Fewer abstinent subjects reported anxiety and depression. Sleep variables, anxiety, and depression are considered as possible markers of relapse in persons treated for alcoholism.

Electrophysiology in neuropsychiatric research: a network perspective

A growing number of anatomic and physiologic studies have shown that parallel sensory and motor information processing occurs in multiple cortical areas. These findings challenge the traditional model of brain processing, which states that the brain is a collection of physically discrete processing modules that pass information to each other by neuronal impulses in a stepwise manner. New concepts based on neural network models suggest that the brain is a dynamically shifting collection of interpenetrating, distributed, and transient neural networks. Neither of these models is necessarily mutually exclusive, but each gives different perspectives on the brain that might be complementary. Each model has its own research methodology, with functional magnetic resonance imaging supporting notions of modular processing, and electrophysiology (eg, electroencephalography) emphasizing the network model. These two technologies might be combined fruitfully in the near future to provide us with a better understanding of the brain. However, this common enterprise can succeed only when the inherent limitations and advantages of both models and technologies are known. After a general introduction about electrophysiology as a research tool and its relation to the network model, several practical examples are given on the generation of pathophysiologic models and disease classification, intermediate phenotyping for genetic investigations, and pharmacodynamic modeling. Finally, proposals are made about how to integrate electrophysiology and neuroimaging methods.

Polysomnography and depressive symptoms in primary alcoholics with and without a lifetime diagnosis of secondary depression and in patients with primary major depression

BACKGROUND

There is evidence suggesting that there is: (1) additive polysomnographic effects of alcoholism and depression; and (2) elevated baseline REM density in primary alcoholics with (PASD) and without lifetime history of secondary depression (NPA).

METHODS

23 PASDs, 59 NPAs, and 23 primary major depression patients (PMD) underwent polysomnography. Any drinking within 3 months after a 1-month inpatient alcohol rehabilitation defined relapse.

RESULTS

PASDs' polysomnography was more like NPAs than PMDs. Polysomnography reflected 3-month sobriety status more than diagnosis.

LIMITATIONS

Not all PASD's met full major depression criteria upon admission.

CONCLUSIONS

Alcoholism affected polysomnography more than depression. Elevated admission REM density predicted 3-month relapse in PASDs and NPAs.

Increased REM sleep density at admission predicts relapse by three months in primary alcoholics with a lifetime diagnosis of secondary depression

BACKGROUND

Having previously reported that 3-month relapse was associated with increased admission REM pressure in nondepressed primary alcoholics, we hypothesized that baseline polysomnography would predict outcome in primary alcoholics with a lifetime diagnosis of secondary depression.

METHODS

Twenty-one primary alcoholics with secondary depression received polysomnography and the Hamilton Depression Rating Scale during the first and fourth weeks of a 1-month inpatient alcohol treatment program. Exclusion criteria included serious illness, current major alcohol withdrawal symptoms, other Axis I diagnoses, sleep apnea, nocturnal myoclonus, and psychoactive substances within 14 days of polysomnography. Relapse was defined as drinking any alcohol between hospital discharge and 3-month follow-up.

RESULTS

Relapsers' total sleep time was reduced, and REM density (reflecting REM sleep ocular activity) was increased significantly throughout admission compared with abstainers. Sleep continuity and Hamilton scores improved by discharge in sober and relapsing alcoholics. Factors derived from admission REM latency, REM percent, and REM density predicted sobriety vs. relapse within 3 months after hospital discharge in 76% of patients. Admission REM density was greater, and total sleep time was less in relapsers than in patients sober at 3 months.

CONCLUSIONS

Results suggest that increased REM density and decreased total sleep time at about 2-4 weeks of abstinence predict relapse by 3 months in depressed alcoholics.

Quantitative EEG (QEEG) predicts relapse in patients with chronic alcoholism and points to a frontally pronounced cerebral disturbance

The capability of predicting relapse in chronic alcoholism using quantitative EEG was investigated. For this purpose, 78 in-patients with alcoholism underwent EEG recordings (eyes closed) 7 days after the beginning of detoxification. Additionally, other clinical evaluations were carried out. After discharge from hospital, patients were regularly re-evaluated for the duration of 3 months in order to determine whether they relapsed or abstained from alcohol during this time. For classification of the two diagnostic subgroups (relapsers vs. abstainers), multivariate discriminant analysis as well as artificial neural network technology has been applied. Correct classification of patients' EEGs was achieved in 83-85% and thus outperformed classification with clinical variables considerably. Furthermore, artificial neural networks (ANN) improved classification results when compared with discriminant analysis. It was found that, in comparison to abstainers, relapsers had EEGs that were more desynchronized over frontal areas, which was interpreted as a functional disturbance of the prefrontal cortex.

Effects of a tryptophan-free amino acid drink challenge on normal human sleep electroencephalogram and mood

BACKGROUND

Serotonin has been implicated in the regulation of sleep and mood. In animals a tryptophan-free amino acid drink (TFD) challenge has been found to reduce brain serotonin. We hypothesized this TFD would produce alterations in electroencephalographic (EEG) sleep commonly associated with depression, i.e. an enhancement of rapid eye movement (REM) sleep, and adversely affect mood ratings in humans.

METHODS

We investigated the effects of a TFD challenge in 11 healthy male subjects on EEG sleep and mood (assessed by Profile of Mood States). All subjects received on separate occasions an experimental drink containing approximately 100 g of an amino acid mixture (100% TFD) and a control drink containing one fourth strength (25% TFD) of the experimental drink 5 hours prior to sleep (6:00 PM).

RESULTS

Both drinks significantly decreased plasma tryptophan levels 5 hours postchallenge (11:00 PM). Both drinks significantly decreased REM latency, and the 25% TFD also increased REM time and REM% compared to baseline. No significant changes were found in subjective ratings of depression; however, subjects reported confusion and tension and a decrease in elation, vigor, and friendliness compared with baseline.

CONCLUSIONS

These TFD findings further support the involvement of serotonin deficiency in EEG sleep findings commonly seen in depression.

EEG sleep in non-affective psychiatric disorders

Several sleep complaints and disturbances have been documented in psychiatric disorders. These modifications of sleep in anxiety disorders, alcoholism, schizophrenia, dementia and eating disorders are reviewed and discussed. At the present time, there is no evidence for any specific sleep pattern in non-affective psychiatric disorders. The co-morbidity of sleep disorders like sleep apnoea, periodic leg movements and parasomnia in psychiatric illness is not very well known at the present time.

Sleep in psychiatric disorders

Psychiatric disorders are some of the most common causes of sleep-related complaints, particularly insomnia. Sleep abnormalities may be caused by CNS abnormalities associated with psychiatric illnesses as well as by accompanying behavioral disturbances. Although sleep patterns are not necessarily diagnostic of particular psychiatric disorders, there are relationships between certain sleep abnormalities and categories of psychiatric disorders. Sleep disturbances associated with psychiatric disorders and general approaches to treatment are reviewed.

Sleep and dreams in Vietnam PTSD and depression

The present study compares the sleep and dreams of three groups of subjects: 1) Vietnam veterans with posttraumatic stress disorder (PTSD) and major depression, 2) veterans with depression alone, and 3) veterans with neither PTSD nor depression (i.e., normal controls). Sleep recordings indicate only one significant difference between the PTSD/depressed and depressed alone groups: sleep latency was prolonged in the depressed alone patients compared with the other two groups. The two patient groups differed from controls in the manner already reported for depressed patients (decreased REM latency, increased REM density, reduced total sleep time, reduced sleep efficiency), with some of the differences significant only at the trend level. Dreams were obtained from REM awakenings. Dream recall rate and report length did not differ between groups. Mean anxiety level in dreams was less than 1 (mild) for all three groups, with major depression patients scoring significantly higher than controls. Dreams of PTSD/depressed patients were significantly less likely to be set in the present than dreams of the other two groups.