Aspects of short REM latency in affective states: a revisit

Insomnia-A risk factor for mental disorders

Longitudinal studies observed that individuals suffering from insomnia disorder have a higher vulnerability to develop symptoms of psychopathology compared with good sleepers. Particularly, insomnia disorder has been associated with an increased risk for depression. Previous studies indicate relatively stable effects; however, replication is needed as the last meta-analysis on the topic has been published 4 years ago. We conducted a replication of a previous systematic review and meta-analysis evaluating the longitudinal association between insomnia disorder and psychopathology, including original works published between 2018 and 2022. Literature search was conducted from April 2018 to August 2022 using key words identifying longitudinal studies that evaluate individuals with insomnia disorder compared with good sleepers at baseline, and the onset of all possible mental disorders at long-term follow-up. Only one work was added to the previous sample of studies published in 2019 looking at the longitudinal association between insomnia disorder and depression. Meta-analytic results confirmed the previous observation, with an even higher observed effect for the link between insomnia and depression. This again recognizes insomnia disorder as a possible transdiagnostic process in psychopathology, with consequent important clinical implications. Nevertheless, more longitudinal studies are needed evaluating the link between insomnia disorder and mental disorders.

Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning

Major Depressive Disorder (MDD) has heterogeneous manifestations, leading to difficulties in predicting the evolution of the disease and in patient's follow-up. We aimed to develop a machine learning algorithm that identifies a biosignature to provide a clinical score of depressive symptoms using individual physiological data. We performed a prospective, multicenter clinical trial where outpatients diagnosed with MDD were enrolled and wore a passive monitoring device constantly for 6 months. A total of 101 physiological measures related to physical activity, heart rate, heart rate variability, breathing rate, and sleep were acquired. For each patient, the algorithm was trained on daily physiological features over the first 3 months as well as corresponding standardized clinical evaluations performed at baseline and months 1, 2 and 3. The ability of the algorithm to predict the patient's clinical state was tested using the data from the remaining 3 months. The algorithm was composed of 3 interconnected steps: label detrending, feature selection, and a regression predicting the detrended labels from the selected features. Across our cohort, the algorithm predicted the daily mood status with 86% accuracy, outperforming the baseline prediction using MADRS alone. These findings suggest the existence of a predictive biosignature of depressive symptoms with at least 62 physiological features involved for each patient. Predicting clinical states through an objective biosignature could lead to a new categorization of MDD phenotypes.

Validation of a data collection set for the psychiatric, addiction, sleep and chronobiological assessments of patients with depression: A Delphi study for the SoPsy-depression French national cohort

OBJECTIVES

Despite international efforts to identify biomarkers of depression, none has been transferred to clinical practice, neither for diagnosis, evolution, nor therapeutic response. This led us to build a French national cohort (through the clinical and research network named SoPsy within the French biological psychiatry society (AFPBN) and sleep society (SFRMS)), to better identify markers of sleep and biological rhythms and validate more homogeneous subgroups of patients, but also to specify the manifestations and pathogeneses of depressive disorders. Before inclusions, we sought to provide a predefined, standardized, and robust set of data to be collected in all centers.

METHODS

A Delphi process was performed to achieve consensus through the independent rating of invited experts, the SoPsy-depression co-investigators (n=34). The initial set open for vote included 94 questionnaires targeting adult and child psychiatry, sleep and addiction.

RESULTS

Two questionnaire rounds were completed with 94% participation in the first round and 100% participation in the second round. The results of the Delphi survey incorporated the consensus opinion of the 32 members who completed both rounds. Nineteen of the 94 questionnaires achieved consensus at the first round and seventy of 75 at the second round. The five remaining questionnaires were submitted to three experts involved in the steering committee during a dedicated meeting. At the end, 24 questionnaires were retained in the mandatory and 26 in the optional questionnaire set.

CONCLUSIONS

A validated data collection set of questionnaires is now available to assess psychiatry, addiction, sleep and chronobiology dimensions of depressive disorders.

Abnormal sleep features in adolescent MDD and its potential in diagnosis and prediction of early efficacy

INTRODUCTION

Previous studies have shown that abnormal sleep architectures are the important indicator for diagnosing MDD and predicting the efficacy of antidepressants. However, few studies have focused specifically on adolescents.

OBJECTIVE

To explore the relationship between abnormal sleep features, including PSG parameters and scale evaluation, and the onset of adolescent MDD, as well as early SSRIs efficacy.

METHODS

102 adolescent MDD patients (age 12 to 19-year-old) and 41 similarly age-marched controls were recruited. Demographic data, the HAMD₂₄ and the PSQI scale assessment scores were collected at baseline, latter two were also collected at follow-up. Part of the participants underwent a minimum 7-d medication-free period, and two consecutive night polysomnography. In the follow-up study, MDD patients were treated with standardized SSRIs. Treatment response was assessed every two weeks.

RESULTS

MDD subjects' parental marital status, REM-sleep latency, N2, N2%, N3, REM-sleep duration, REM % showed significant differences at baseline. REM-sleep latency showed significant prediction of the onset of MDD. The HAMD₂₄ and PSQI scale assessment scores decreased over time in the follow-up study. Specifically, the sleep disorder factor score of HAMD₂₄, the scores of PSQI sleep latency, sleep disorder, sleep efficiency and total score showed significantly differences between responder and non-responder groups. PSQI baseline moderate group showed significant prediction of the early efficacy of SSRIs.

CONCLUSION

Abnormal sleep PSG parameters and self-evaluation could be predictors for the adolescent MDD onset and early SSRIs efficacy.

Intricate role of sleep deprivation in modulating depression: focusing on BDNF, VEGF, serotonin, cortisol, and TNF-α

In this review article, we aimed to discuss intricate roles of SD in modulating depression in preclinical and clinical studies. Decades of research have shown the inconsistent effects of SD on depression, focusing on SD duration. However, inconsistent role of SD seems to be more complicated, and SD duration cannot be the only one factor. Regarding this issue, we chose some important factors involved in the effects of SD on cognitive functions and mood including brain-derived neurotrophic factor (BDNF), vascular endothelial growth factor (VEGF), serotonin, cortisol, and tumor necrosis factor-alpha (TNF-α). It was concluded that SD has a wide-range of inconsistent effects on BDNF, VEGF, serotonin, and cortisol levels. It was noted that BDNF diurnal rhythm is significantly involved in the modulatory role of SD in depression. Furthermore, the important role of VEGF in blood-brain barrier permeability which is involved in modulating depression was discussed. It was also noted that there is a negative correlation between cortisol and BDNF that modulates depression. Eventually, it was concluded that TNF-α regulates sleep/wake cycle and is involved in the vulnerability to cognitive and behavioral impairments following SD. TNF-α also increases the permeability of the blood-brain barrier which is accompanied by depressive behavior. In sum, it was suggested that future studies should focus on these mechanisms/factors to better investigate the reasons behind intricate roles of SD in modulating depression.

Idiopathic Hypersomnia and Depression, the Challenge for Clinicians and Researchers

The review deals with idiopathic hypersomnia, focusing mostly on the research findings about the presence, onset and severity of excessive daytime sleepiness and depressive symptoms in patients with idiopathic hypersomnia.

Polysomnography in seasonal affective disorder: A systematic review and meta-analysis

BACKGROUND

. Although sleep disturbances are ubiquitous in depression, studies assessing sleep architecture lead to conflicting results, possibly because of the heterogeneity in this disorder. We aimed to focus on Seasonal Affective Disorder (SAD), which is directly associated with circadian and sleep homeostasis impairments.

METHODS

. A systematic search was conducted in July 2019. Original papers reporting data about night sleep architecture using polysomnography (PSG), in SAD or remitted-SAD and controls, were included.

RESULTS

. Seven studies were retained and included 183 individuals, including 109 patients with SAD and 74 healthy controls. The random-effects meta-analysis showed that rapid eye movement sleep (REM) was significantly increased in SAD compared to controls (REM amount: SMD=1[0.11,1.88], p = 0.027; REM percentage: SMD=0.71[0.02,1.40], p = 0.045). Remitted SAD patients, compared to controls, also had a significantly increased REM sleep (REM amount: SMD=1.84[0.78,2.90], p<0.001; REM percentage: SMD=1.27[0.51,2.03], p = 0.001) and a significantly decreased REM latency (SMD=-0.93[-1.73,-0.13], p = 0.022). No differences were observed for total sleep time, sleep efficiency, and slow-wave-sleep.

LIMITATIONS

. Most studies had small sample size, with no placebo group and with open designs.

CONCLUSIONS

. REM sleep amount and latency appear altered both during the acute and remitted phase of SAD, representing trait markers with interesting diagnosis and therapeutic implications.

Biological rhythms and chronotherapeutics in depression

Depressive syndromes are frequent and heterogeneous brain conditions with more than 90% of patients suffering from sleep complaints. Better characterizing this "sleep" domain may allow to both better treat acute episodes with existing chronotherapeutics, but also to prevent the manifestation or recurrences of mood disorders. This work aims to i) review theoretical and fundamental data of chronotherapeutics, and ii) provide practical recommendations. Light therapy (LT) can be used as a first-line monotherapy of moderate to severe depression of all subtypes. LT can be also used as a combination with antidepressant to maximize patients' response rates, which has a clear superiority to antidepressant alone. Sleep deprivation (SD) is a rapid and powerful chronotherapeutic with antidepressant responses within hours in 45-60% of patients with unipolar or bipolar depression. Different strategies should be combined to stabilize the SD antidepressant effect, including concomitant medications, repeated SD, combination with sleep phase advance and/or LT (triple chronotherapy). Melatonin treatment is of interest in remitted patients with mood disorder to prevent relapses or recurrences, if a complaint of insomnia, poor sleep quality or phase delay syndrome is associated. During the acute phase, melatonin could be used as an adjuvant treatment for symptoms of insomnia associated with depression. The cognitive behavioral therapy for insomnia (CBT-I) can be recommend to treat insomnia during euthymic phases. The Interpersonal and social rhythm therapy (IPSRT) is indicated for the acute treatment of bipolar depression and for the prevention of mood episodes. Chronotherapeutics should always be associated with behavioral measures for healthy sleep.

Depression and Sleep

Impaired sleep is both a risk factor and a symptom of depression. Objective sleep is assessed using the sleep electroencephalogram (EEG). Characteristic sleep-EEG changes in patients with depression include disinhibition of rapid eye movement (REM) sleep, changes of sleep continuity, and impaired non-REM sleep. Most antidepressants suppress REM sleep both in healthy volunteers and depressed patients. Various sleep-EEG variables may be suitable as biomarkers for diagnosis, prognosis, and prediction of therapy response in depression. In family studies of depression, enhanced REM density, a measure for frequency of rapid eye movements, is characteristic for an endophenotype. Cordance is an EEG measure distinctly correlated with regional brain perfusion. Prefrontal theta cordance, derived from REM sleep, appears to be a biomarker of antidepressant treatment response. Some predictive sleep-EEG markers of depression appear to be related to hypothalamo-pituitary-adrenocortical system activity.

Sleep and mental disorders: A meta-analysis of polysomnographic research

Investigating sleep in mental disorders has the potential to reveal both disorder-specific and transdiagnostic psychophysiological mechanisms. This meta-analysis aimed at determining the polysomnographic (PSG) characteristics of several mental disorders. Relevant studies were searched through standard strategies. Controlled PSG studies evaluating sleep in affective, anxiety, eating, pervasive developmental, borderline and antisocial personality disorders, attention-deficit-hyperactivity disorder (ADHD), and schizophrenia were included. PSG variables of sleep continuity, depth, and architecture, as well as rapid-eye movement (REM) sleep were considered. Calculations were performed with the "Comprehensive Meta-Analysis" and "R" software. Using random effects modeling, for each disorder and each variable, a separate meta-analysis was conducted if at least 3 studies were available for calculation of effect sizes as standardized means (Hedges' g). Sources of variability, that is, sex, age, and mental disorders comorbidity, were evaluated in subgroup analyses. Sleep alterations were evidenced in all disorders, with the exception of ADHD and seasonal affective disorders. Sleep continuity problems were observed in most mental disorders. Sleep depth and REM pressure alterations were associated with affective, anxiety, autism and schizophrenia disorders. Comorbidity was associated with enhanced REM sleep pressure and more inhibition of sleep depth. No sleep parameter was exclusively altered in 1 condition; however, no 2 conditions shared the same PSG profile. Sleep continuity disturbances imply a transdiagnostic imbalance in the arousal system likely representing a basic dimension of mental health. Sleep depth and REM variables might play a key role in psychiatric comorbidity processes. Constellations of sleep alterations may define distinct disorders better than alterations in 1 single variable. (PsycINFO Database Record

Sleep Disturbances in Pediatric Depression

Depressive illness beginning early in life can have serious developmental and functional consequences. Therefore, understanding its etiology and pathophysiology during this developmental stage is critical for developing effective prevention and intervention strategies. There is considerable evidence of sleep alterations in adult major depressive disorder. However, studies in children and adolescents have not found consistent changes in sleep architecture paralleling adult depression. This review article summarizes sleep polysomnography research in early-onset depression, highlighting the factors associated with variable findings across studies. In addition, potential avenues for future research will be suggested in order to develop more comprehensive theoretical models and interventions for pediatric depression.

Wake and sleep EEG provide biomarkers in depression

Both wake and sleep electroencephalogram (EEG) provide biomarkers of depression and antidepressive therapy, respectively. For a long time it is known that EEG activity is altered by drugs. Quantitative EEG analysis helps to delineate effects of antidepressants on brain activity. Cordance is an EEG measure with a superior correlation with regional brain perfusion. Prefrontal quantitative EEG cordance appears to be a predictor of the response to antidepressants. Sleep EEG shows characteristic changes in depression as impaired sleep continuity, desinhibition of REM sleep and changes of nonREM sleep. Elevated REM density (a measure for frequency of rapid eye movements) characterizes an endophenotype in family studies of depression. REM-sleep changes including a more distinct REM rebound after sleep deprivation are found in animal models of depression. Most antidepressants suppress REM sleep in depressed patients, normal controls and laboratory animals. REM suppression appears to be a distinct, but not an absolute requirement for antidepressive effects of a compound. Sleep-EEG variables like REM latency or certain clusters of variables were shown to predict the response to the treatment with a certain antidepressant or even the course of the disorder for several years. Some of these predictive sleep-EEG markers of the longterm course of depression appear to be closely related to hypothalamo-pituitary-adrenocortical system activity.

Impact of sleep and its disturbances on hypothalamo-pituitary-adrenal axis activity

The daily rhythm of cortisol secretion is relatively stable and primarily under the influence of the circadian clock. Nevertheless, several other factors affect hypothalamo-pituitary-adrenal (HPA) axis activity. Sleep has modest but clearly detectable modulatory effects on HPA axis activity. Sleep onset exerts an inhibitory effect on cortisol secretion while awakenings and sleep offset are accompanied by cortisol stimulation. During waking, an association between cortisol secretory bursts and indices of central arousal has also been detected. Abrupt shifts of the sleep period induce a profound disruption in the daily cortisol rhythm, while sleep deprivation and/or reduced sleep quality seem to result in a modest but functionally important activation of the axis. HPA hyperactivity is clearly associated with metabolic, cognitive and psychiatric disorders and could be involved in the well-documented associations between sleep disturbances and the risk of obesity, diabetes and cognitive dysfunction. Several clinical syndromes, such as insomnia, depression, Cushing's syndrome, sleep disordered breathing (SDB) display HPA hyperactivity, disturbed sleep, psychiatric and metabolic impairments. Further research to delineate the functional links between sleep and HPA axis activity is needed to fully understand the pathophysiology of these syndromes and to develop adequate strategies of prevention and treatment.

HPA axis and sleep: identifying subtypes of major depression

It is increasingly acknowledged that the diagnosis of major depression encompasses patients who do not necessarily share the same disease biology. Though the diagnostic criteria allow the specification of different subtypes, e.g. melancholic and atypical features, a consensus still has to be reached with regard to the clinical symptoms that clearly delineate these subtypes. Beside clinical characteristics, biological markers may help to further improve identification of biologically distinct endophenotypes and, ultimately, to devise more specific treatment strategies. Alterations of the hypothalamus-pituitary-adrenal (HPA) axis and sleep architecture are not only commonly observed in patients with major depression, but the nature and extent of these alterations can help to identify distinct subtypes. Thus, a HPA overdrive, due to enhanced secretion of corticotropin-releasing hormone (CRH) and an impaired negative feedback via glucocorticoid receptors, seems to be most consistently observed in patients with melancholic features. These patients also show the clearest sleep-electroencephalogram (EEG) alterations, including disrupted sleep, low amounts of slow wave sleep (SWS), a short rapid eye movement (REM) latency and a high REM density. In contrast, patients with atypical features are characterized by reduced activity of the HPA axis and ascending noradrenergic neurons in the locus coeruleus. Though sleep-EEG alterations have been less thoroughly examined in these patients, there are data to suggest that SWS is not reduced and that REM sleep parameters are not consistently altered. While the atypical and melancholic subtypes of major depression may represent the extremes of a spectrum, the distinct clinical features provide an opportunity to further explore biological markers, as well as environmental factors, contributing to these clinical phenotypes. Moreover, dysregulations of the HPA axis and sleep-EEG alterations can also be induced in rodents, thereby allowing alignment of critical biological aspects of a human disease subtype with an animal model. Such "Translational Research" efforts should help to develop targeted therapies for distinct patient populations.

Elicitation of sleep-onset REM periods in normal individuals using the sleep interruption technique (SIT)

Use of the sleep interruption technique (SIT) to elicit sleep onset REM periods (SOREMPs) in normal individuals is introduced along with its theoretical bases, empirical findings, and potential applications. Capitalizing upon the circadian and ultradian nature of REM sleep, the SIT has been developed to examine various psychophysiological characteristics related to REM sleep. The SIT allows us to: (1) obtain SOREMPs at the discretion of the researcher; (2) avoid the contaminating effects of preceding non-REM (NREM)-REM stage ordering on subsequent target sleep episodes; and (3) obtain many REM episodes in a short time by repeating the sleep interruptions. The SIT has been applied in several studies, such as examination of physiological precursors to REM periods, correlates of dream mechanisms, and induction of sleep paralysis in normal individuals. Guidelines for eliciting SOREMP using the SIT, including the parameters to be manipulated, are provided, e.g. NREM duration before sleep interruption, time of night of awakenings, duration of sleep interruption and tasks employed. Directions for further research such as determining optimal type of task to promote SOREMP occurrences, generalization of SOREMP as usual REM periods, and forms of SOREMP occurrences under different conditions in normal individuals and clinical patients are discussed. Finally, possible future uses of the SIT, including combining this technique with new technologies, are also suggested.

Laboratory sleep correlates of nightmare complaint in PTSD inpatients

BACKGROUND

Nightmares are rare in the sleep laboratory, even in patients with posttraumatic stress disorder for whom nightmare complaints are diagnostic. Nevertheless, it is possible that laboratory conditions do not preclude the observation of telltales-nightmare-related modifications of tonic sleep-given sufficiently large samples.

METHODS

Sixty-three unmedicated, nonapneic Vietnam combat veterans undergoing inpatient treatment for posttraumatic stress disorder underwent polysomnographic testing and assessment of nightmare complaint.

RESULTS

Trauma-related nightmare complaint, but not non-trauma-related complaint, was associated with increased wake-after-sleep-onset in the sleep laboratory. No relationships between nightmare complaint and rapid eye movement sleep architecture were observed.

CONCLUSIONS

Increased wake-after-sleep-onset was specifically associated with trauma-related nightmare complaint, confirming data from other quarters suggesting they are both phenomenologically and functionally distinct from normal dreaming.

Neuroendocrine and clinical characteristics of major depressed patients exhibiting sleep-onset REM

BACKGROUND

Previous reports suggest an association between sleep-onset REM (SOREM) and some clinical characteristics in depressive illness such as age, psychosis, and depression severity. The present study is aimed at further investigating clinical and neuroendocrine correlates of SOREM, controlling for the age-related variability in clinical data.

METHODS

Thyroid-stimulating hormone response to thyrotropin-releasing hormone, postdexamethasone cortisol levels, and clinical characteristics of 25 major depressive (MD) patients exhibiting SOREM in at least one of three consecutive recording nights were compared to those of 25 age- and sex-matched MD patients with three REM latencies above 50 min.

RESULTS

SOREM patients experienced more affective episodes leading to hospitalization and a shorter duration of current episode than patients with three REM latencies above 50 min. No association between psychosis and SOREM could be demonstrated, and hypothalamic-pituitary-adrenal or -thyroid axis disturbances were not more prevalent in SOREM patients.

CONCLUSIONS

Our results suggest that clinical history rather than cross-sectional clinical characteristics relates to the occurrence of SOREM in major depressed patients.

An analysis of the brain's transfer properties in schizophrenia: amplitude frequency characteristics and evoked potentials during sleep

BACKGROUND

Classical analysis of spontaneous sleep electroencephalogram (EEG) in schizophrenia commonly reveals alterations of sleep continuity, number of awakenings, slow-wave sleep (SWS), and REM sleep compared to healthy controls; however, conventional analysis cannot help understand dynamic differences of the sleep EEG during different sleep stages.

METHODS

We measured late components of auditory evoked potentials (AEPs) and visual evoked potentials (VEPs) during different sleep stages of 11 schizophrenic inpatients and in a sex- and age-matched control group from scalp positions FZ, CZ, and PZ. According to linear system theory, we then computed the amplitude-frequency characteristic (AFC) from averaged AEPs and VEPs in different sleep stages. These AFCs describe the input-output relation of the system under study, leading to a characterization of the transfer properties of the schizophrenic brain during sleep.

RESULTS

Significant differences could be found for the transfer properties during stage II and SWS between schizophrenics and controls. During REM a marked enhancement of theta resonance was seen in schizophrenics.

CONCLUSIONS

The results of the present study point to highly different central nervous system transfer properties in schizophrenics and controls. Compared to previous investigations in depression, the results provide additional information for distinguishing schizophrenia and depression in EEG studies.

Sleep-onset rapid eye movement periods in neuropsychiatric disorders: implications for the pathophysiology of psychosis

This paper reviews the literature describing the occurrence of sleep-onset rapid eye movement periods in narcolepsy, schizophrenia, psychotic depression, and delirium tremens; the association of narcolepsy with psychotic disorders; the neuropathology of the brainstem in narcolepsy and schizophrenia; and other behavioral disorders resulting from probable brainstem pathology. These findings suggest that some forms of psychosis are a manifestation of pathophysiological changes in the brainstem. Some implications of this hypothesis for the treatment of psychoses are discussed. Future research should investigate psychoses and the psychobiological correlates of such biological markers as sleep-onset rapid eye movement periods across diagnostic categories.

Sleep-onset rapid eye movement after electroconvulsive therapy is more frequent in patients who respond less well to electroconvulsive therapy

The response to electroconvulsive therapy (ECT) was monitored with sleep polysomnography studies (SPS) performed pre- and post-ECT, in 25 patients with major depressive disorder (MDD). Patients included in this study met research diagnostic criteria for MDD and had been free of psychotropic medication for at least 10 days before SPS were performed. We compared ECT responders and nonresponders on SPS, demographic, and clinical parameters. Many SPS parameters, regardless of the clinical response, changed significantly with ECT. The presence of delusions was significantly associated with SOREM post-ECT. The presence of sleep-onset REM periods post-ECT was associated with poor response to ECT. SPS performed during a course of ECT may help identify patients at risk of responding less well to this modality of treatment.

Critical analysis of the theories advanced to explain short REM sleep latencies and other sleep anomalies in several psychiatric conditions

One of the most consistent and most studied sleep modifications in several psychiatric conditions is the shortening of the rapid eye movement (REM) sleep latency. While its clinical usefulness is still to be proven and its meaning relatively obscure, the appearance of a short REM latency continues to be a daily fact in sleep laboratories. Many theories compete to explain what is observed, the most important being the circadian rhythm hypotheses, the homeostatic model and the reciprocal interaction model. These three are summarised and their pros and cons are exposed in a systematic manner. Points of conflict, possible convergences and limitations are discussed in the light of recent developments on the general theories of sleep regulation.

Amplitude frequency characteristics of evoked potentials during sleep: an analysis of the brain's transfer properties in depression

Classical analysis of the spontaneous sleep EEG in depressive disorder commonly reveals alterations of sleep continuity, number of awakenings, slow-wave sleep, and REM sleep compared to healthy controls; however, conventional analysis can not help understand dynamic differences of the sleep EEG during different sleep stages. In order to elicit qualitative alterations of information processing between depressives and healthy controls, we measured late components of auditory and visual evoked potentials (AEPs and VEPs) during different sleep stages of 15 depressive inpatients and in a sex- and age-matched control group from scalp positions Fz, Cz and Pz. According to linear system theory, we then computed the amplitude frequency characteristic (AFC) from averaged AEPs and VEPs in different sleep stages. These AFCs describe the input/output relation of the system under study leading to a characterization of the transfer properties of the brain during sleep in depression. Our investigations showed that information processing appears characteristically altered in depression during non-REM sleep for both auditory and visual stimulation compared to healthy controls. The transfer properties for processing auditory as well as visual information during REM sleep do not appear dynamically impaired in depressive disorder.

Biological markers as classifiers for depression: a multivariate study

1. Delta TSH, REM latency, 4 pm and 11 pm post-dexamethasone cortisol values were determined after a wash-out period in a group of 74 non-selected depressed patients who were diagnosed (according to RDC with the SADS) as follows: 46 definite and 10 probable MD, 4 minor and 14 intermittent depression. 2. These biological variables, as well as gender, age and basal TSH were introduced in a principal component analysis. The four first PC scores explaining up to 77% of the data set were further calculated for each patients and used in a cluster analysis. A three clusters solution was retained. 3. DST escape and increased TSH response to TRH each identified subgroups of depressed patients. Conversely, blunted TSH response or REM latency were inefficient to classify patients. 4. Thus, HPA hyperactivity characterized CL-I patients (n = 29). These were more severely depressed, displayed more endogenous features and were reported as being more anxious. 5. Increased TSH response to TRH identified CL-III, exclusively composed of female patients (n = 10) that displayed more apparent sadness and tended to be older. 6. In CL-II, the usual sex-ratio for depressive illness was reversed and patients (n = 35) exhibited the least HPA axis disturbances and the same rate of blunted TSH response than in CL-I. They were also less severely depressed, displayed less endogenous characteristics and were rated as more mood reactive. 7. These results suggest heterogeneity in biological disturbances in depression and further stress the importance for controlling age, gender and severity of illness in studies investigating biological markers in depression.

Shortened REM latency PostECT is associated with rapid recurrence of depressive symptomatology

Electroconvulsive therapy (ECT) is highly effective in the treatment of major depressive disorder (MDD). The 1-year relapse rates are reported to be high and in the 30%-60% range, however. To test whether polysomnography (PS) can identify patients with a propensity for relapse we studied 20 patients, responders to a course of ECT, with PS studies. All patients met baseline diagnostic criteria for MDD, were treated with ECT following standardized protocols, had PS studies performed after the course of ECT in a medication-free state, received maintenance antidepressants postECT, and were followed periodically with phone interviews. The recurrence of depressive symptoms was determined at 3 months and 6 months after discharge. Fifty-five percent of the patients were symptomatic when evaluated 6 months after the ECT. Sleep Onset rapid eye movement (REM) periods were identified in 55% of the patients. As a group, patients who had experienced a recurrence of depressive symptoms by 6 months after discharge, had significantly shorter REM latencies after the course of ECT. A shorter REM latency after ECT identified patients who at six months demonstrated significant depressive symptomatology. Shortened REM latency after ECT in patients with MDD appears to be a correlate of vulnerability for relapse.

Maintenance treatment in recurrent depression: current and future directions. The first William Sargant Lecture

When William Sargant died in 1988 at the age of 81, he had made his mark on British psychiatry. He had exerted considerable influence on US psychiatry as well. This was especially obvious during a time when physical treatments were hardly the fashion in US psychiatry. As The Times (1988) stated at the time of his death, he had made psychiatry more respectable by keeping it close to the medical model. He did a great deal to make depression intelligible to general practitioners and, therefore, to make it a legitimate, respectable illness.

Biological correlates of the Newcastle Scale in depressive illness: a multivariate approach

Rapid eye movement latency (RL), delta max thyroid-stimulating hormone (dmTSH) and 1600 (DST16) and 2300 (DST23) post-dexamethasone cortisol values were determined in a group of 93 depressed patients who were assessed with the Newcastle Endogenous Depression Diagnostic Index (NEDDI). After the effects of age, gender and severity of illness were controlled for, stepwise multiple regression showed that depressive psychomotor activity and weight loss were the 2 NEDDI items most contributing to explain DST23 variance, as was depressive psychomotor activity for dmTSH variance. When the depressive sample was dichotomized according to the presence of these 2 items, the 2 groups had significantly different DST16, DST23, dmTSH and RL values. This suggests that weight loss, agitation and retardation could represent a core feature of a biologically mediated depressive subtype.

Sleep EEG and amitryptiline treatment in depressed inpatients

We studied the baseline sleep electroencephalogram (EEG) variables and treatment-related sleep changes after 35-46 days of amitryptiline treatment (AMI) in a group of 18 depressed inpatients, mostly suffering from a major depressive disorder endogenous subtype (according to the Research Diagnostic Criteria, RDC), with a short rapid eye movement (REM) latency. The aim of the study was to identify potential sleep "predictors" of clinical response to AMI as well as short-term sleep changes associated with alleviation of depression. Clinical response to the drug was defined as a reduction of more than 50% of the Hamilton Rating Score for Depression (HRSD). Eleven men and 7 women, 25-68 years old, were included in the study. Their sleep was recorded at baseline and after an average of 39 +/- 4 days of AMI treatment, at a mean daily dose of 165 +/- 35 mg. The comparison of responders (n = 9) and nonresponders (n = 9) with Wilcoxon's test showed that responders (1) were more severely depressed at baseline, and (2) had less stage 4 sleep. A discriminant function using baseline HRSD, stage 4 and the number of stage shifts allowed for discrimination between responders and nonresponders with a 100% hit rate. Antidepressant treatment had, however, no differential effect on sleep parameters in the two response groups.

Minute-by-minute analysis of REM sleep timing in major depression

Sleep changes described in depressed patients may represent alterations in the timing of rapid-eye-movement (REM) sleep or sleep onset. We examined these variables in groups of healthy control subjects (n = 47), depressed outpatients (n = 98), and depressed inpatients (n = 41). Outpatient depressives had greater severity of clinical symptoms than inpatients using the Hamilton Rating Scale for Depression. The depressed inpatient group had a later mean sleep onset time than the other groups, and the depressed outpatient group had a wider range of good night times than control subjects. REM timing in each group was examined as a relative frequency distribution of REM sleep (FDRS) for each minute across the night. The FDRSs for the three groups were statistically compared using the parameters from a two-component model, which includes a deterministic sinusoidal function and a time series process for errors. The slope of the linear trend in the FDRS rhythm was smaller (less positive) for both depressed groups than for controls. The ultradian FDRS rhythm occurred at an earlier phase, relative to sleep onset, in the inpatient depressed group compared to the control group. The ultradian FDRS rhythm had a longer period in the outpatient group compared to the control and inpatient groups. When referenced to 24-hr clock time in an exploratory analysis, the depressed groups appeared to have less robust FDRS ultradian rhythms than controls, but they did not appear to have a systematic phase alteration compared to controls. Abnormalities of REM sleep timing in groups of depressed patients may reflect a disturbance of sleep initiation and generation, or difficulty in entrainment of REM, rather than a systematic phase alteration in REM sleep propensity.

Sleep disorders in psychiatric practice

Sleep disorders medicine and psychiatry interface in numerous ways. Most psychiatric patients have a complaint about sleep, and regardless of the theoretical orientation of a psychiatrist, understanding of a patient's sleep function is an important part of assessment. The success or failure of treatment will be strongly influenced by the effect of that treatment on the patient's sleep disorder. The psychiatrist can provide expertise in treating patients with primary sleep disorders, offering pharmacologic consultations, and recommending psychotherapy or behavioral management. Conversely, a knowledge of primary sleep disorders should make the psychiatrist a more effective practitioner.

Multivariate study of sleep EEG in depression

The effects of four subtypes of major depressive disorder on four sleep EEG variables obtained in 153 depressed inpatients were analyzed taking into account the effects of age, gender, DST response and severity of depression. We have found that age significantly affected slow wave sleep. Sleep efficiency and total sleep time were shown to vary with age and severity of depression. Such effects were not detected for REM latency which was influenced by the endogenous subtype and the gender. Our data indicate that in depressed patients sleep EEG measures are influenced by multiple factors.

Frequency analysis of the sleep EEG in depression

Eight patients with major depressive disorder (seven bipolar and one unipolar) and matched controls had sleep studies, on which frequency analysis of the electroencephalogram (EEG) was performed. Total sleep and sleep efficiency were decreased in the patients, but there was no significant difference in rapid eye movement (REM) latency between the two groups. Frequency analysis revealed no group differences in power in the delta band (0.23-2.5 Hz) or the whole EEG spectrum (0.23-25 Hz). These findings suggest that mean REM latencies are not always shorter in major depression. The results are discussed in light of a previous report of decreased delta energy in the sleep EEG of unipolar patients.