Abstract
Sleep laboratory investigations constitute a unique noninvasive tool to analyze brain functioning, Polysomnographic recordings, even in the very early phase of development in humans, are mandatory in a developmental plan of a new sleep-acting compound. Sleep is also an interesting tool for the development of other drugs acting on the central nervous system (CNS), Indeed, changes in sleep electroencephalographic (EEG) characteristics are a very sensitive indication of the objective central effects of psychoactive drugs, and these changes are specific to the way the drug acts on the brain neurotransmitter systems. Moreover, new compounds can be compared with reference drugs in terms of the sleep EEG profile they induce. For instance, cognitive enhancers involving cholinergic mechanism have been consistently demonstrated to increase rapid eye movement (REM) sleep pressure, and studying drug-induced slow wave sleep (SWS) alteration is a particularly useful tool for the development of CNS compounds acting at the 5-HT2A/C receptor, such as most atypical antipsychotics and some antidepressant drugs. The sleep EEG profile of antidepressants, and particularly their effects on REM sleep, are specific to their ability to enhance noradrenergic or serotonergic transmission, it is suggested that the effects of noradrenergic versus serotonergic reuptake inhibition could be disentangled using specific monoamine depletion tests and by studying drug effects on sleep microsiructure.
Keywords: rapid eye movement sleep, EEG, slow wave sleep, acetylcholine, depression
Abstract
Las investigaciones de laboratorio de sueño constituyen una herramienta única, no invasora, para analizar el funcionamiento cerebral. Los registros polisomnográficos son mandatorios dentro del plan de desarrollo de un nuevo compuesto que actúe sobre el sueño, aun en la fase muy precoz del desarrollo en humanos. El sueño es también una herramienta interesante para el desarrollo de otros fármacos que actúen sobre el sistema nervioso central (SNC). Verdaderamente, los cambíos en las caracierísticas electroencefalográficas (EEG) del sueño representan una indicación muy sensible de los efectos centrales objetivos de fármacos psicoactivos. Estos cambios son específicos en relación a la forma de actuación del fármaco en los sistemas de neurotransmisión central. Sin embargo, los nuevos fármacos se pueden comparar con fármacos de referencia en términos del perfil EEG de sueño que ellos inducen. Por ejemplo, se ha demostrado consistentemente que los “aumentadores cognitivos” al incluir mecanismos colinérgicos incrementan la carga de sueño con movimientos oculares rápidos (MOR), y el estudio de la alteración en el sueño de ondas lentas inducida por fármacos es una herramienta particularmente útil para el desarrollo de compuestos para el SNC que actúan a nivel de receptores 5-HT2A/C como la mayoría de los antipsicóticos atipicos y algunos fármacos antidepresivos. El perfil EEG de sueño de los antidepresivos y, particularmente, los efectos sobre el sueño MOR son específicos en su capacidad para aumentar la transmisión noradrenérgica o serotoninérgica. Se ha sugerido que los efectos particulares de la inhibición de la recaptación noradrenérgica versus la inhibición de la recaptación serotoninérgica podrían ser aclarados utilizando pruebas específicas de depleción de monoaminas y medianie el estudio de los efectos de fármacos en la microestructura del sueño.
Abstract
L'exploration du sommeil en laboratoire constitue un outil non invasif remarquable d'analyse du fonctionnement cérébral. Les enregistrements polysomnographiques, même dans la phase très précoce du développement chez l'homme, sont impératifs dans le plan de développement d'une nouvelle molécule agissant sur le sommeil. L'exploration du sommeil est également un outil intéressant pour le développement d'autres médicaments agissant sur le système nerveux central (SNC), Les modifications des caractéristiques de l'électroencéphalogramme (EEG) au cours du sommeil sont en effet une indication très sensible des effets centraux objectifs des molécules psychoactives, et ces modifications sont spécifiques du mode d'action de la molécule sur les neurotransmetteurs cérébraux. De plus, les nouveaux traitements peuvent être comparés aux molécules de référence d'après le profil d'EEG de sommeil qu'ils induisent. Ainsi, les molécules améliorant la cognition par le biais du système cholinergique ont régulièrement démontré qu'elles augmentaient la propension aux mouvements oculaires rapides (MOR) durant le sommeil. L'étude des altérations du sommeil à ondes lentes induites par les médicaments est particulièrement utile pour le développement de molécules du SNC agissant au niveau du récepteur 5-HT2A/C tels la plupart des antipsychotiques atypiques et certains antidépresseurs. Le profil d'EEG de sommeil des antidépresseurs, et particulièrement les effets sur les MOR du sommeil, sont spécifiques de leur capacité à augmenter la transmission noradrénergique ou séroloninergique. Il est suggéré que les effets respectifs de l'inhibition de la recapture noradrénergique et de l'inhibition de la recapture de la sérotonine pourraient être démêlés grâce à des tests spécifiques de depletion des monoamines et en étudiant les effets des traitements sur la microstructure du sommeil.
Sleep-wake alternation is an essential component of human biological rhythms, and physiological processes accompanying sleep are fundamental to body recovery. As reflected in waking performance, sleep is one of the major determinants of brain function. Quality of life, productivity, health, and effective education all depend on the quality of normal brain function. However, the economic and social development in our modem society has led, and will lead, to chronic disruption of sleep in a sizeable proportion of the population. The main contributors to these disruptions can be classified as either environmental (noise and light pollution), economic/societal (shift- work schedule), or pathological (sleep disorders). The detrimental effects of these factors on sleep increase with age and are expected to have an even larger impact in the future, given the aging population and the increased prevalence/incidence of shift work.
At the present time, as much as one third of the adult population reports difficulty sleeping,1-3 and sleep disturbance is considered as the second most common symptom of mental, distress.4 Hie widespread use of prescribed hypnotic medication as well as nonprescription remedies is an indirect reflection of the high frequency of sleep complaints.2, 5 Sleep disorders are often chronic conditions: one study found that over 40% of those reporting sleep problems had had them for more than 5 years.1 Individuals reporting disturbed sleep are more likely to report emotional distress and recurrent health problems.1 A major prospective investigation suggests that these problems are the consequence and not the cause of sleep difficulties.6 Deviant, sleep pattern has also been identified as a potentially important problem for physical health. Those who report shorter than average sleep duration (“short-sleepers”) as well as those reporting long sleep duration (“long-sleepers”) have been shown to have an increased risk of mortality.7-9
Despite recent inroads into understanding of the sleep-regulatory neural circuit,10-13 current treatments for sleep disorders act via a limited number of pathways. Most hypnotics target GABAergic (GABA, γ-aminobutyric acid) activity globally in the brain. Other commonly used hypnotics that, were not, designed to treat insomnia (sedative antidepressants and antihistamines) have long half-lives and peripheral side effects. Current treatments for hypersomnia typically enhance dopaminergic transmission. New drugs designed for treating restless legs syndrome and periodic limb movement, during sleep are needed. In a similar way, studies are needed to understand why most sedatives exacerbate disordered breathing during sleep, and to design countermeasures, or even drugs preventing, sleep apnea. As recently stressed by Mignot et al,13 the rapid growth of basic and clinical sleep research promises to lead to new and more targeted pharmacotherapy for sleep disorders. Thus, new drugs for therapeutic application in sleep disorder medicine arc clearly needed. For this purpose, objective assessments of drug effects with polysomnographic recordings, even in the very early phase of development in humans, are mandatory in a developmental plan for a new sleep-acting compound. In the present paper, arguments for using sleep as a tool for the development of other drugs acting on the central nervous system (CNS) will be presented. In the following sections, we will discuss how the relationship between sleep physiology and neurotransmitter function could be used for the development of CNS-acting drugs.
REM sleep pressure as a surrogate marker of a cognitive enhancer acting on cholinergic neurotransmission
The cholinergic system is one of the most, important modulatory neurotransmitters in the brain and controls many activities that depend on selective attention and conscious awareness. Drugs that antagonize muscarinic receptors induce hallucinations and reduce the level of consciousness, while the nicotinic receptor is implicated in the mode of action of general anesthetics.14 In degenerative diseases of the brain, such as Alzheimer's disease, dementia with Lewy bodies, or Parkinson's disease, alterations in consciousness, loss of memory, visual hallucinations, or rapid eye movement (REM) sleep abnormalities have been associated with regional deficits in the cholinergic system. In the following sections, we will briefly discuss the value of using REM sleep as a surrogate marker of compounds acting on cholinergic neurotransmission, and particularly in the development of cognitive enhancers for Alzheimer's disease.
REM sleep
REM sleep was first, described in 1953 by Aserinsky and Kleitman.15 At, regular 90- to 100-min intervals, they observed the spontaneous emergence of electroenccphalographic (EEG) desynchronization accompanied by clusters of rapid saccadic eye movements. When subjects were awakened during such an episode, they generally reported that they had been dreaming. REM sleep is also called paradoxical sleep because of the close resemblance to the EEG of active wakefulness combined with a “paradoxical” active inhibition of major muscle groups that, seems to reflect, deep sleep. Normal sleep is characterized in EEG terms as recurrent, cycles of nonREM and REM sleep of about, 90 min. Non -REM sleep is subdivided into stages 1 through 4, with stage 1 being the lightest and stage 4 being the deepest sleep. In the successive cycles of the night, the amounts of stages 3 and 4 (also known as slow wave sleep [SWS]) decrease, and the proportion of the cycle occupied by REM sleep tends to increase, with REM episodes occurring late in the night, having more eye movement bursts than REM episodes occurring early in the night.
Disturbances in REM sleep organization can be assessed by measuring its total amount (expressed in minutes or as a percentage of total sleep time), its onset latency (REM latency), its distribution across the successive non-REM/REM cycles during the night, and the actual number of rapid eye movements (REM activity) during this sleep stage or per minute of REM sleep (REM density). For instance, an increased propensity for REM sleep (or increased REM sleep pressure) is described as a greater amount of REM sleep mostly at the beginning of the night, (also reflected by a shortened REM latency) and an increase in REM activity and REM density.
Acetylcholine, MEM sleep, and Alzheimer's disease
At the present, time, there is clear evidence for cholinergic mechanisms in the generation of REM sleep, and this has been the subject of many studies for the last four decades.16-18 Animal studies have demonstrated that the expression of 'REM sleep-related physiology (eg, thalamocortical arousal, pontogeniculate-occipital waves, and atonia) depends upon a subpopulation of brain stem pediculopontine tegmental neurons that release acetylcholine to act upon muscarinic receptors.19 Since a variable degree of cell loss in the pediculopontine region has been reported in Alzheimer's disease, it, is tempting to speculate that, the cholinergic deficit induces REM sleep-specific abnormalities such as decreased REM duration and density, increased REM latency, and REM sleep behavior disorder.14, 19
More generally, human studies indicate that acute administration of muscarinic cholinergic agonists increase REM sleep propensity, whereas acute administration of muscarinic antagonists produce the opposite effect.20 Based upon the pharmacological profile of the compounds used to manipulate sleep, it appears that both M1 and M2 muscarinic receptor subtypes are involved in REM sleep regulation.20 Regarding acetylcholinesterase inhibitors, studies in healthy volunteers have shown that physostigmine,21 tacrine,22 and rivastigmine23-24 increase REM sleep pressure. Interestingly, another acetylcholinesterase inhibitor, donepezil, may have a role in the treatment of REM sleep behavior disorder,25 a syndrome characterized by the appearance of elaborate motor activity associated with dream mentation due to the intermittent loss of REM sleep muscular atonia.
In summary, the study of REM sleep propensity in normal subjects is a particularly useful tool in the development of CNS agents acting on cholinergic neurotransmission. This has been recently exemplified by studies using REM sleep changes as surrogate markers of the activity of acetylcholinesterase inhibitors. Drugs enhancing cholinergic transmission have been consistently demonstrated to increase REM sleep pressure. In this regard, cognitive enhancers involving a cholinergic mechanism have been shown to increase REM sleep amount, to shorten REM latency, and to increase REM activity and density. These characteristics are the sleep EEG “signature” of this class of drugs and could thus represent surrogate markers of activity.
Aging, SWS, and 5-HT2 receptor antagonism
Role of SWS
It has long been assumed that sleep per se is essential for the restoration of body and mind; research conducted over the past three decades has led many experts to assume that SWS is centrally involved in such restorative process. In support of this assumption are numerous studies showing that SWS is totally recovered following sleep deprivation,26 as well as several investigations linking SWS to growth hormone (GH) secretion,27-28 which contributes to tissue repair. For instance, in monkeys, a positive correlation between the duration of SWS and the level of cerebral protein synthesis has been demonstrated.29 Investigations of sleep-related changes in heart rate and blood pressure that found indices of parasympathetic dominance during non-REM sleep and particularly SWS,30 and positron emission tomography (PET) scan studies showing that global cerebral glucose metabolism in humans is lowest, in SWS,31 arc findings that further suggest, a role of SWS in body restoration.
Further evidence for a role of SWS in human somatic restoration comes from studies showing that, SWS increases following daytime exercise32-34 and from the study of Kattler et al35 showing that, in humans, slow wave activity increases during SWS in the central area contralateral to a prolonged vibratory hand stimulation experienced during the previous waking period. Regarding mental restorative processes, results of studies investigating the role of sleep in learning and memory suggest, that memory formation is prompted by SWSrelatcd processes with REM sleep promoting memory formation at. a second stage (recently reviewed in references 10 and 36). In this regard, some studies suggested that cognitive performance (assessed through reaction time tasks) is related to amounts of SWS in healthy young volunteers37 or to specific slow wave deficiencies in older insomniacs.38
Aging and SWS
Normal aging is characterized by the occurrence of several sleep disturbances.39 Polysomnographic recordings identify an increase in the number and duration of awakenings during sleep and a lowering of SWS.40, 41 Nocturnal sleep is found to be less restorative, and aged subjects are prone to insomnia, daily somnolence, and napping.42 Finally, since many aspects of cognitive performance decline with aging, it. seems reasonable to question the relationship between SWS and cognitive performance among older adults.43 It. has been hypothesized that the amount of SWS could be directly related to the efficiency of neuronal connections in the cortex44 and that, aging leads to a decrease in the physiological process (process S) inducing SWS and favoring sleep continuity.45, 46
5-HT2 receptor and SWS
A body of evidence suggests that serotonergic transmission, particularly at the level of the 5-HT2A/C receptor, plays a major role in the induction of process S and SWS.47 Drugs antagonizing the 5-HT2A/C receptor increase SWS, whereas 5-HT2A/C agonists have the opposite effect.48 Spectral analysis of non-REM sleep shows a huge increase in slow wave activity with compounds blocking 5-HT2A/C transmission.49, 50 Although some antidepressant and antipsychotic drugs display this 5-HT2A/C antagonist profile and indeed have been shown to increase SWS,51, 52 up to now there is no drug marketed for sleep disorder that enhances SWS in a sustained manner. In contrast, chronic benzodiazepine administration has been shown to decrease SWS.53 New nonbenzodiazepine hypnotics acting at. the GABAA receptor, such as zopiclone, Zolpidem, and zaleplon, have a more favorable profile in terms of sleep architecture, although none of them has demonstrated sustained SWS enrichment after repeated administration.54
In this regard, 5-HT2A/C receptor antagonists could thus be of great interest, for alleviating age-related sleep disturbances and for ameliorating psychomotor and cognitive functions by restoring deep SWS, particularly in elderly insomniacs. There is preliminary evidence to suggest that repeated administration of ritanserin 5 mg (a 5-HT2A/C receptor antagonist) in middle-aged poor sleepers decreases the frequencies of awakening and improves subjective quality of sleep55 and increases subjective alertness in narcoleptic patients56 and in young healthy volunteers performing a driving test.57 Furthermore, in young healthy subjects, Gronfier et al58 found that, the SWS enrichment induced by the acute administration of ritanserin 5 mg is positively correlated to the amount of GH secretion, suggesting a common 5-HT2a/c-triggered stimulatory mechanism between GH secretion and delta wave activity.
The question of whether antagonizing the 5-HT2A or 5-HT2C receptor allows SWS enhancement is still unresolved. There are some data suggesting that 5-HT2C mediates SWS,59, 60 but Landolt et al49 showed substantial SWS enhancement with SR 46349B, a specific 5-HT2A antagonist. Clozapine, which displays a weaker activity for 5HT2A receptors, does not seem to affect, SWS in schizophrenic patients or even tends to diminish it. Olanzapine induces clear-cut, SWS enhancement in healthy subjects61-67; these effects seem to be mediated by 5-HT2C receptors, since allelic differences in the gene coding for this receptor influence SWS responses to olanzapine.63
In summary, compounds antagonizing 5-HT2A/C receptors could be valuable drugs for age -related sleep disturbances. In healthy subjects, studying drug-induced SWS alteration is a particularly useful tool for the development of CNSacting compounds with 5-HT2A/C-blocking properties.
REM sleep alterations as surrogate markers of antidepressant responsive conditions
Characteristic sleep EEG changes have been consistently identified in depressive illness. Lengthening of sleep latency, frequent nocturnal awakening, and early morning wakening resulting in a decrease in total sleep time are the hallmarks of sleep continuity disturbances in major depression. With regard to sleep architecture, a deficit of SWS, especially during the first sleep cycle, has been consistently described. Disturbances in REM sleep organization consist of an earlier onset of this sleep stage, a greater amount of REM sleep at the beginning of the night, and an increase in the actual rapid eye movements (REM activity and REM density) during this sleep stage.64, 65 There is some evidence that, these sleep abnormalities increase with the severity of the depression66, 67 and that they are more pronounced in older patients.41, 68 Furthermore, some studies, which controlled for the effects of these variables, indicate a comparable sleep EEG in different depressive subtypes, including the bipolar/unipolar distinction,69 but, suggest a role for endogenous and psychotic symptoms in the appearance of shortening of REM latency.70, 71
Although the specificity of this sleep EEG profile to depression is not, fully established, it, should be noted that, according to Bcnca et al,72 the most widespread and the most severe disturbances are found in patients with depressive disorder. Furthermore, REM sleep alterations have been reported in antidepressantresponsive conditions such as obsessive-compulsive disorder,73 panic disorder,74 depressed patients with anorexia nervosa75 or alcoholism,76 and, by some authors, in nondepressed patients with schizophrenia.77 Thus, a body of evidence suggests that REM sleep disturbances could relate to antidepressant-responsive psychopathological states. It has been hypothesized that an imbalance between aminergic and cholinergic influences underlie REM. sleep disinhibition (earlier onset, greater amount in the first part, of the night, increase in the number of rapid eye movements) in depressive disorder.78 Conversely, the ability of most antidepressant, drugs to inhibit, REM. sleep might, be attributed to facilitation of noradrenergic and/or serotonergic function or to muscarinic blockade.52 In some cases, as with most tricyclic antidepressants, all three mechanisms may be involved. Antidepressant drugs without clear-cut REM suppressant, effects (ie, amineptine, bupropion, nefazodone, tianeptine, trazodone, and trimipramine) have a common characteristic: their potency for inhibiting adrenergic or serotonergic uptake is cither absent or moderate.79, 80
Modeling a specific serotonergic and noradrenergic depressive profile by acute monoamine depletion
Serotonergic and catecholaminergic neurotransmission depletion paradigms have been shown to be useful research tools to evaluate the role of these neurotransmitter systems, both in the pathogenesis of depression and in the mechanisms of antidepressant, treatment modalities.81 It is postulated that sleep EEG disturbances in response to serotonergic and catecholaminergic challenges reflect pathologically diminished levels of serotonin or catecholamine release in depression, a condition that could briefly be elicited in healthy subjects with these depletion procedures. The only study to have tackled the question lends support to the idea that the tryptophan depletion test, (TDT) in healthy subjects can mimic depressed patients in terms of neuroendocrine response to serotoninergic challenge; indeed, after performing a TDT in healthy subjects, Coccaro et al82 showed an attenuated prolactin response to fenfluramine. Some studies83-86 suggest that the TDT might, be a valuable procedure to elicit, typical sleep abnormalities of depression, and, in particular, an increased REM sleep pressure, a condition assumed to be associated with response to antidepressant drugs. It can be thus postulated that the TDT challenges using REM. sleep pressure as a surrogate marker of depression might be useful models for studying the mechanisms of action of antidepressant drugs, since acute or chronic antidepressant drug administration should interfere with these sleep alterations. Indeed, in a recent study, we were able to demonstrate that the effects of the serotonin reuptake inhibitor fluvoxamine on REM sleep were partially inhibited by TDT challenge. Further developments of this technique will include a study with a specific noradrenergic reuptake inhibitor and the phenylalanine depletion challenge, and an attempt to replicate the sleep animal data suggesting that specific monoamine depletion could identify noradrenaline and serotonin reuptake inhibitors.87
Distinguishing the effects of SNRIs from those of SSRls on the basis of sleep EEG recordings
Selective serotonin reuptake inhibitors (SSRIs), selective noradrenaline reuptake inhibitors (SNRIs), and dual noradrenaline and serotonin reuptake inhibitors (NSRIs) have all shown an REM-suppressant effect after single or repeated administration to healthy volunteers (for recent
reviews of the effects of antidepressants on sleep see references 52 and 88). There are also studies suggesting that these three types of antidepressant exhibit alerting effects (ie, tend to enhance vigilance and therefore induce arousal during sleep), although data are more sparse for SNRI and particularly NSRI. We suggest that sleep microarchitecture could distinguish SSRI from SNRI. Up to now, ver>' few studies have investigated the effects of antidepressant drugs on the EEG spectral power values. For instance, the NSRI venlafaxine has been shown to decrease the power of delta and the ta waves and increase fast, beta-activities during non-REM sleep in depressed patients, suggesting that this compound could lighten sleep intensity.89 Other studies90, 91 in depressed patients showed that citalopram decreased the non-REM EEG power in the 8 to 9 Hz range (lower alpha waves) and trazodone decreased the non-REM EEG power in the 13 to 14 Hz range (lower beta waves). One study in healthy subjects did not reveal any change in spectral power values in the delta, the ta, alpha, beta, and gamma frequency ranges after 4 weeks of paroxetine administration.97- There are some indications in the literature suggesting that serotonin and noradrenaline may play a different role in the regulation of sleep; indeed noradrenaline could be implicated in wake-promoting mechanisms and hyperarousal,93, 94 whereas serotonin could be more involved in sleep-promoting mechanisms.95, 96 For instance, animal studies suggest, that noradrenaline and serotonin microinjections in the basal forebrain induce different modulation of gamma EEG activity and of the sleep-wake state.97 It, can thus speculated that sleep microstructure, reflecting these specific mechanisms, could be differently affected by the single administration of an SSRI, an SNRI, or an NSRI.
In summary, the sleep EEG profile of antidepressants and particularly the effects on REM sleep are specific to their ability to enhance noradrenergic or serotoninergic transmission. It is suggested that the respective effects of noradrenergic versus serotoninergic reuptake inhibition could be disentangled using specific monoamine depletion tests and by studying drug effects on sleep microstructure.
Conclusions
Sleep EEG recordings constitute a unique noninvasive tool to analyze brain functioning. The dynamic relationships between brain neurotransmitter systems can be directly addressed through the assessment of sleep physiology. Neurotransmission disturbances, such as those encountered in mental disorders, are reflected in spontaneous alteration of sleep continuity and architecture, or in aberrant sleep EEG responses to the administration of specific ncuropsychopharmacological probes. Sleep laboratory investigations are particularly well suited to evaluating objective effects of psychoactive drugs on sleep and wakefulness. Moreover, new compounds can be compared with reference drugs in terms of the sleep EEG profile they induce. Finally, all-night sleep EEG spectral analysis provides a matchless technique to study the way drugs affect, sleep microstructure, and therefore the core of sleep regulation mechanisms.
Selected abbreviations and acronyms
- CNS
central nervous system
- EEG
electroencephalography
- GAB
γ-aminobutyric acid
- GH
growth hormone
- 5-HT
5-hydroxytryptamine (serotonin)
- NSRI
noradrenaline and serotonin reuptake inhibitor
- PET
positron emission tomography
- REM
rapid eye movement
- SNRI
selective noradrenaline reuptake inhibitor
- SSRI
selective serotonin reuptake inhibitor
- SWS
slow wave sleep
- TDT
tryptophan depletion test
REFERENCES
- 1.Bixler EO., Kales A., Soldatos CR., Kales JD., Healy S. Prevalence of sleep disorders in the Los Angeles metropolitan area. Am J Psychiatry. 1979;136:1257–1262. doi: 10.1176/ajp.136.10.1257. [DOI] [PubMed] [Google Scholar]
- 2.Mellinger GD., Baiter MB., Uhlenhut EH. Insomnia and its treatment. Prevalence and correlates. Arch Gen Psychiatry. 1985;42:225–232. doi: 10.1001/archpsyc.1985.01790260019002. [DOI] [PubMed] [Google Scholar]
- 3.Ohayon MM. Epidemiological study on insomnia in a general population. Sleep. 1996:S7–S15. doi: 10.1093/sleep/19.suppl_3.s7. [DOI] [PubMed] [Google Scholar]
- 4.National Center for Health Statistics. Selected symptoms of psychological distress. US Public Health Service Publication 1000, series 11, Number 37. US Department of Health, Education and Welfare: Washington, DC; 1970 [Google Scholar]
- 5.Balter MB., Bauer ML. Patterns of prescribing and use of hypnotic drugs in the United States. In: Gift AD, ed. Sleep Disturbances and Hypnotic Drug Dependence. New York, NY: Excerpta Medica; 1975 [Google Scholar]
- 6.Johnson LC., Spinweber CL. Quality of sleep and performance in the navy: a longitudinal study of good and poor sleepers. In: Guilleminault C, Lugaresi E, eds. Sleep/wake Disorders: Natural History Epidemiology and Long-term Evolution. New York, NY: Raven Press; 1983:13–28. [Google Scholar]
- 7.Hammond E., Garfinkel L. Coronary heart disease, stroke and aortic aneurysm. Factors in the etiology. Arch Environ Health. 1969;19:167–182. [PubMed] [Google Scholar]
- 8.Belloc NB. Relationship between health practice and mortality. PrevMed. 1973;2:67–81. doi: 10.1016/0091-7435(73)90009-1. [DOI] [PubMed] [Google Scholar]
- 9.Kripke DF., Garfinkel L., Wingard DL., Kauber MR., Marier MR. Mortality associated with sleep duration and insomnia. Arch Gen Psychiatry. 2002;59:131–136. doi: 10.1001/archpsyc.59.2.131. [DOI] [PubMed] [Google Scholar]
- 10.Sejnowski TJ., Destexhe A. Why do we sleep? Brain Res. 2000;886:208–223. doi: 10.1016/s0006-8993(00)03007-9. [DOI] [PubMed] [Google Scholar]
- 11.Steriade M. Corticothalamic resonance, states of vigilance and mentation. Neuroscience. 2000;101:243–276. doi: 10.1016/s0306-4522(00)00353-5. [DOI] [PubMed] [Google Scholar]
- 12.Saper CB., Chou TC., Scammel TE. The sleep switch: hypothalamic control of sleep and wakefulness. Trends Neurosci. 2001;24:726–731. doi: 10.1016/s0166-2236(00)02002-6. [DOI] [PubMed] [Google Scholar]
- 13.Mignot E., Taheri S., Hishino S. Sleeping with the hypothalamus: emerging therapeutics targets for sleep disorders. NatNeurosci. 2002;5:1071–1075. doi: 10.1038/nn944. [DOI] [PubMed] [Google Scholar]
- 14.Perry E., Walker M., Grace J., Perry R. Acetylcholine in mind: a neurotransmitter correlate of consciousness? Trends Neurosci. 1999;22:273–280. doi: 10.1016/s0166-2236(98)01361-7. [DOI] [PubMed] [Google Scholar]
- 15.Aserinsky E., Kleitman N. Regularly occurring episodes of eye motility and concomitant phenomena during sleep. Science. 1953;118:273–274. doi: 10.1126/science.118.3062.273. [DOI] [PubMed] [Google Scholar]
- 16.Jouvet M. The role of monoamines and acetylcholine containing neurones in the regulation of sleep waking cycle. Ergebnisse der Physiologie. 1972;64:166–307. doi: 10.1007/3-540-05462-6_2. [DOI] [PubMed] [Google Scholar]
- 17.Shiromani PJ., Gillin JC., Henriksen SJ. Acetylcholine and regulation of REM sleep: basic mechanisms and clinical implication for affective disorder and narcolepsy. Annu Rev Pharmacol Toxicol. 1987;27:137–156. doi: 10.1146/annurev.pa.27.040187.001033. [DOI] [PubMed] [Google Scholar]
- 18.Hobson AJ., Stickgold R., Pare-Schott EF. The neuropsychology of REM sleep dreaming. Neuroreport. 1998;9:R1–R14. doi: 10.1097/00001756-199802160-00033. [DOI] [PubMed] [Google Scholar]
- 19.Rye DB. Contributions of the pedunculopontine region to normal and altered REM sleep. Sleep. 1997;20:757–788. doi: 10.1093/sleep/20.9.757. [DOI] [PubMed] [Google Scholar]
- 20.Rao U., Lutchmansingh P., Poland RE. Age-related effects of scopolamine on REM sleep regulation in normal control subjects: relationship to sleep abnormalities in depression. Neuropsychopharmacology. 1999;21:723–730. doi: 10.1016/S0893-133X(99)00067-6. [DOI] [PubMed] [Google Scholar]
- 21.Sitaram N., Mendelson WB., Wyatt Rj., Gillin JC. The time-dependent induction of REM sleep and arousal by physostigmine infusion during normal l human sleep. Brain Res. 1977;122:562–567. doi: 10.1016/0006-8993(77)90468-1. [DOI] [PubMed] [Google Scholar]
- 22.Riemann D., Lis S., Fritsch-Montero R., et al. Effect of tetrahydroaminoacridine on sleep in healthy subjects. Biol Psychiatry. 1996;39:796–802. doi: 10.1016/0006-3223(95)00224-3. [DOI] [PubMed] [Google Scholar]
- 23.Holsboer-Trachsler E., Hatzinger M., Stohler R., et al. Effects of the novel acetylcholinesterase inhibitor SDZ ENA 713 on sleep in man. Neuropsychopharmacology. 1993;8:87–92. doi: 10.1038/npp.1993.10. [DOI] [PubMed] [Google Scholar]
- 24.Schredl M., Weber B., Braus D., Heuser I. The effect of rivastigmine on sleep in elderly healthy subjects. Exp Gerontol. 2000;35:243–249. doi: 10.1016/s0531-5565(00)00077-2. [DOI] [PubMed] [Google Scholar]
- 25.Ringman JM., Simmons JH. Treatment of REM sleep behavior disorder with donepezil: a report of three cases. Neurology. 2000;55:870–871. doi: 10.1212/wnl.55.6.870. [DOI] [PubMed] [Google Scholar]
- 26.Tilley AJ., Wilkinson RT. The effects of a restricted sleep regime on the composition of sleep and performance. Psychophysiology. 1984;21:406–412. doi: 10.1111/j.1469-8986.1984.tb00217.x. [DOI] [PubMed] [Google Scholar]
- 27.Takahashi Y., Kipnis DM., Daughaday WH. Growth hormone secretion during sleep. J Clin Invest. 1968;47:2079–2090. doi: 10.1172/JCI105893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Sassin JF., Parker DC., Mace JW., Gotlin RW., Johnson LC., Rossman LG. Human growth hormone release: relation to slow wave sleep and sleepwaking cycles. Science. 1969;165:513–515. doi: 10.1126/science.165.3892.513. [DOI] [PubMed] [Google Scholar]
- 29.Nakanishi H., Sun Y., Nakamura RK., et al. Positive corelations between protein synthesis rates and deep sleep in. Maccaca mulatta. Eur J Neurosci. 1997;9:271–279. doi: 10.1111/j.1460-9568.1997.tb01397.x. [DOI] [PubMed] [Google Scholar]
- 30.Trinder J., Kleinman J., Carrington M., et al. Autonomic activity during human sleep as a function of time and sleep stage. J Sleep Res. 2001;10:253–264. doi: 10.1046/j.1365-2869.2001.00263.x. [DOI] [PubMed] [Google Scholar]
- 31.Maquet P. Functional neuroimaging of normal human sleep by positron emission tomography. J Sleep Res. 2000;9:207–231. doi: 10.1046/j.1365-2869.2000.00214.x. [DOI] [PubMed] [Google Scholar]
- 32.Griffin WJ., Trinder J. Physical fitness, exercise and human sleep. Psychophysiology. 1978;15:447–450. doi: 10.1111/j.1469-8986.1978.tb01413.x. [DOI] [PubMed] [Google Scholar]
- 33.Bunnel DE., Bevier W., Horwarth SM. Effects of exhaustive exercise on sleep of men and women. Psychophysiology. 1983;20:50–58. doi: 10.1111/j.1469-8986.1983.tb00900.x. [DOI] [PubMed] [Google Scholar]
- 34.Edinger JD., Morey MC., Sullivan RJ., et al. Aerobic fitness, acute exercise and sleep in older men. Sleep. 1993;16:351–359. doi: 10.1093/sleep/16.4.351. [DOI] [PubMed] [Google Scholar]
- 35.Kattler H., Dijk DJ., Borbely AA. Effect of unilateral somatosensory stimulation prior to sleep on the sleep EEG in humans. J Sleep Res. 1994;3:159–164. doi: 10.1111/j.1365-2869.1994.tb00123.x. [DOI] [PubMed] [Google Scholar]
- 36.Maquet P. The role of sleep in learning and memory. Science. 2001;294:1048–1052. doi: 10.1126/science.1062856. [DOI] [PubMed] [Google Scholar]
- 37.Jurado JL., Luna Villegas G., Buela-Casal G. Normal human subjects with slow reaction times and larger time estimations after waking have diminished delta sleep. EEG Clin Neurophysiol. 1989;73:124–128. doi: 10.1016/0013-4694(89)90191-0. [DOI] [PubMed] [Google Scholar]
- 38.Crenshaw MC., Edinger JD. Slow-wave sleep and waking cognitive performance among older adults with and without insomnia complaints. Physiol Behav. 1999;66:485–492. doi: 10.1016/s0031-9384(98)00316-3. [DOI] [PubMed] [Google Scholar]
- 39.Miles LE., Dement WC. Sleep and aging. Sleep. 1980;3:119–220. [PubMed] [Google Scholar]
- 40.Agnew HW., Webb WB., Williams RL. Sleep patterns in late middle age males: an EEG study. EEG Clin Neurophysiol. 1967;23:168–171. doi: 10.1016/0013-4694(67)90107-1. [DOI] [PubMed] [Google Scholar]
- 41.Knowles JB., McLean AW. Age-related changes in sleep in depressed and healthy subjects: a meta-analysis. Neuropsychopharmacology. 1990;3:257–259. [PubMed] [Google Scholar]
- 42.Carskadon MA., Brown ED., Dement WC. Sleep fragmentation in the elderly: relationship to daytime sleep tendency. Neurobiol Aging. 1982;3:321–327. doi: 10.1016/0197-4580(82)90020-3. [DOI] [PubMed] [Google Scholar]
- 43.Prinz PN. Sleep patterns in healthy aged: relationship with intellectual function. J. Gerontol. 1977;32:179–186. [Google Scholar]
- 44.Feinberg I. Changes in sleep cycle patterns with age. J Psychiatry Res. 1974;10:283–306. doi: 10.1016/0022-3956(74)90011-9. [DOI] [PubMed] [Google Scholar]
- 45.Borbely AA. A two process model of sleep regulation. Hum Neurobiol. 1982;1:195–204. [PubMed] [Google Scholar]
- 46.Dijk DJ., Duffy JF., Czeisler CA. Age-related increase in awakenings: impaired consolidation of nonREM sleep at all circadian phases. Sleep. 2001;24:565–577. doi: 10.1093/sleep/24.5.565. [DOI] [PubMed] [Google Scholar]
- 47.Jouvet M., Denoyer M., Kitahama K., Sallanon M. Slow wave sleep and indolamines: a hypothalamic target. In: Wauquier A, Dugovic C, Radulovacki, eds. Slow Wave Sleep. Physiological, Pathophysiological and Functional Aspects. New York, NY: Raven Press; . 1989:91–107. [Google Scholar]
- 48.Sharpley AL., Cowen PJ. Effects of pharmacologic treatment on the sleep of depressed patients. Biol Psychiatry. 1995;37:85–98. doi: 10.1016/0006-3223(94)00135-P. [DOI] [PubMed] [Google Scholar]
- 49.Landolt HP., Meier V., Burgess HJ., et al. Serotonin-2 receptors and human sleep: effect of a selective antagonist on EEG power spectra. Neuropsychopharmacology. 1999;21:455–466. doi: 10.1016/S0893-133X(99)00052-4. [DOI] [PubMed] [Google Scholar]
- 50.Viola AU., Brandenberger G., Toussaint M., Bouhours P., Mâcher JP., Luthringer R. Ritanserin, a serotonin-2 receptor antagonist, improves ultradian sleep rythmicity in young poor sleepers. Clin Neurophysiology. 2002;113:429–434. doi: 10.1016/s1388-2457(02)00014-7. [DOI] [PubMed] [Google Scholar]
- 51.Nicholson AN., Bradley CM., Pascoe PA. Medication effects on sleep and wakefulness. In: Kryger MH, Roth T, Dement WC, eds. Principles and Practice of Sleep Medicine. Philadelphia, Pa: Saunders; 1989 [Google Scholar]
- 52.Staner L., Luthringer R., Macher JP. Effects of antidepressant drugs on sleep EEG in patients with major depression. Mechanisms and therapeutic implications. CNS Drugs. 1999;11:49–60. [Google Scholar]
- 53.Gaillard JM. Sommeil et psychotropes. J Pharmacol. 1984;15:389–399. [PubMed] [Google Scholar]
- 54.Wagner J., Wagner ML., Hening WA. Beyond benzodiazepines: alternative pharmacologic agents for the treatment of insomnia. Ann Pharmacother. 1998;32:680–691. doi: 10.1345/aph.17111. [DOI] [PubMed] [Google Scholar]
- 55.Adam K., Oswald I. Protein synthesis, bodily renewal and the sleep-wake cycle. Clin Sci. 1983;65:561–567. doi: 10.1042/cs0650561. [DOI] [PubMed] [Google Scholar]
- 56.Lammers GJ., Arends J., Declerck AC., Kamphuisen HA., Schouwink G., Troost J. Ritanserin, a 5-HT2 receptor blocker, as add-on tretament in narcolepsy. Sleep. 1991;14:130–132. [PubMed] [Google Scholar]
- 57.Van Laar M., Volkerts E., Verbaten M. Subchronic effects of the GABA-agonist lorazepam and the 5-HT2A/2C antagonist ritanserin on driving performance, slow wave sleep and daytime sleepiness in healthy volunteers. Psychopharmacology. 2001;154:189–197. doi: 10.1007/s002130000633. [DOI] [PubMed] [Google Scholar]
- 58.Gronfier C., Luthringer R., Follenius M., et al. A quantitative evaluation of the relationships between growth hormone secretion and delta wave electroencephalographic activity during normal sleep and after enrichment in delta waves. Sleep. 1996;19:817–824. doi: 10.1093/sleep/19.10.817. [DOI] [PubMed] [Google Scholar]
- 59.Katsuda Y., Walsch AE., Ware CJ. meta-Chlorophenylpiperazine decreases slow wave sleep in humans. Biol Psychiatry. 1993;33:49–51. doi: 10.1016/0006-3223(93)90278-l. [DOI] [PubMed] [Google Scholar]
- 60.Katsuda Y., Walsch AE., Ware CJ. meta-Chlorophenylpiperazine decreases slow wave sleep in humans. Biol Psychiatry. 1993;33:49–51. doi: 10.1016/0006-3223(93)90278-l. [DOI] [PubMed] [Google Scholar]
- 61.Sharpley AL., Vassalo CM., Cowen PJ. Olanzapine increases slow-wave sleep: evidence for blockade of central 5-HT2C receptors in vivo. Biol Psychiatry. 2000;47:468–470. doi: 10.1016/s0006-3223(99)00273-5. [DOI] [PubMed] [Google Scholar]
- 62.Staner L., Granier F., Vandenhende F., Macher JP., Luthringer R. Repeated administration of olanzapine differentially affects slow wave sleep, sleep continuity and daytime sedation: a placebo-controlled study of morning versus evening dosing in healthy volunteers. Eur Neuropsychopharmacol. 2002;12(suppl3):S325. [Google Scholar]
- 63.Lindberg N., Virkunnen M., Tani P., et al. Effect of a single-dose of olanzapine on sleep in healthy females and males. Int Clin Psychopharmacol. 2002;17:177–184. doi: 10.1097/00004850-200207000-00004. [DOI] [PubMed] [Google Scholar]
- 64.Reynolds CF III., Kupfer DJ. Sleep research in affective illness: state of the art circa 1987. Sleep. 1987;10:199–215. doi: 10.1093/sleep/10.3.199. [DOI] [PubMed] [Google Scholar]
- 65.Buysse DJ., Kupfer DJ. Diagnostic and research applications of electroencephalographic sleep studies in depression: conceptual and methodological issues. J Nerv Ment Dis. 1990;178:405–414. doi: 10.1097/00005053-199007000-00001. [DOI] [PubMed] [Google Scholar]
- 66.Kupfer DJ., Bulik CM., Grochocinski V. Relationship between EEG sleep measures and clinical ratings of depression. J Affect Disord. 1984;6:43–52. doi: 10.1016/0165-0327(84)90007-7. [DOI] [PubMed] [Google Scholar]
- 67.Hubain P., Van Veeren C., Staner L., Mendlewicz J., Linkowski P. Neuroendocrine and sleep variables in major depressed patients: role of severity. Psychiatry Res. 1996;63:83–93. doi: 10.1016/0165-1781(96)02928-9. [DOI] [PubMed] [Google Scholar]
- 68.Kerkhofs M., Kempenaers C., Linkowski P., De Martelaere V., Mendlewicz J. Multivariate study of sleep EEG in depression. Acta Psychiatrica Scand. 1988;77:463–468. doi: 10.1111/j.1600-0447.1988.tb05152.x. [DOI] [PubMed] [Google Scholar]
- 69.Fossion P., Staner L., Dramaix M., et al. Does sleep EEG data distinguish between UP, BPI or BPII depressions? An age- and gender-controlled study. J Affect Disord. 1998;49:181–187. doi: 10.1016/s0165-0327(97)00111-0. [DOI] [PubMed] [Google Scholar]
- 70.Hubain P., Souery D., Jönck L., et al. Relationship between the Newcastle scale and sleep polysomnographic variables in major depression: a controlled study. Eur Neuropsychopharmacol. 1995;5:129–134. doi: 10.1016/0924-977X(95)00011-D. [DOI] [PubMed] [Google Scholar]
- 71.Stefos G., Staner L., Kerkhofs M., Hubain P., Mendlewicz J., Linkowski P. Shortened REM latency as a psychobiologic marker for psychotic depression? An age, gender and polarity controlled study. Biol Psychiatry. 1998;44:1314–1320. doi: 10.1016/s0006-3223(98)00009-2. [DOI] [PubMed] [Google Scholar]
- 72.Benca RM., Obermeyer WH., Thisted RA., Gillin JC. Sleep and psychiatric disorders. A meta-analysis. Arch Gen Psychiatry. 1992;49:651–668. doi: 10.1001/archpsyc.1992.01820080059010. [DOI] [PubMed] [Google Scholar]
- 73.Insel TR., Gillin JC., Moore A., Mendelson WB., Loewenstein RJ., Murphy DL. The sleep of patients with obsessive-compulsive disorder. Arch Gen Psychiatry. 1982;39:1372–1377. doi: 10.1001/archpsyc.1982.04290120008002. [DOI] [PubMed] [Google Scholar]
- 74.Uhde TW., Roy-Byrne P., Gillin JC., et al. The sleep of patients with panic disorder. A preliminary report. Psychiatry Res. 1984;12:251–259. doi: 10.1016/0165-1781(84)90030-1. [DOI] [PubMed] [Google Scholar]
- 75.Katz JL., Kuperberg A., Pollack CP., Walsch BT., Zumoff B., Weiner H. Is there a relationship between eating disorder and affective disorder? New evidence from sleep recordings. Am J Psychiatry. 1984;141:753–759. doi: 10.1176/ajp.141.6.753. [DOI] [PubMed] [Google Scholar]
- 76.Moeller FG., Gillin JC., Irwin M., Golshan S., Kripke DF., Schuckit M. A comparison of sleep EEGs in patients with primary major depression and major depression secondary to alcoholism. J Affect Disord. 1993;27:39–42. doi: 10.1016/0165-0327(93)90095-2. [DOI] [PubMed] [Google Scholar]
- 77.Zarcone VP Jr., Benson KL., Berger PA. Abnormal rapid eye movement latencies in schizophrenia. Arch Gen Psychiatry. 1987;44:45–48. doi: 10.1001/archpsyc.1987.01800130047007. [DOI] [PubMed] [Google Scholar]
- 78.McCarley RW. REM sleep and depression: common neurobiological control mechanisms. Am J Psychiatry. 1982;139:565–570. doi: 10.1176/ajp.139.5.565. [DOI] [PubMed] [Google Scholar]
- 79.Seeman R. Receptor Tables vol 2: Dissociation Constants for Neuroreceptors and Transporters. Toronto, Canada: SZ Research; 1993 [Google Scholar]
- 80.Hirschfeld RM. Efficacy of SSRIs and newer antidepressants in severe depression: comparison with TCA. J Clin Psychiatry. 1999;60:326–335. doi: 10.4088/jcp.v60n0511. [DOI] [PubMed] [Google Scholar]
- 81.Heninger GR., Delgado PL., Charney DS. The revised monoamine theory of depression: a modulatory role for monoamines, based on new findings from monoamine depletion experiments in humans. Pharmacopsychiatry. 1996;29:2–11. doi: 10.1055/s-2007-979535. [DOI] [PubMed] [Google Scholar]
- 82.Coccaro EF., Kavoussi RJ., Cooper TB., Hauger R. Tryptophan depletion attenuates the prolactin response to d-fenf luramine challenge in healthy human subjects. Psychopharmacoiogy. 1998;138:9–15. doi: 10.1007/s002130050639. [DOI] [PubMed] [Google Scholar]
- 83.Bhatti T., Gillin JC., Seifritz E., et al. Effects of a tryptophan-free amino acid drink challenge on normal human sleep electroencephalogram and sleep. Biol Psychiatry. 1998;43:52–59. doi: 10.1016/s0006-3223(97)80252-1. [DOI] [PubMed] [Google Scholar]
- 84.Moore P., Gillin JC., Bhatti T., et al. Rapid tryptophan depletion, sleep electroencephalogram, and mood in men with remitted depression on serotonin reuptake inhibitors. Arch Gen Psychiatry. 1998;55:534–539. doi: 10.1001/archpsyc.55.6.534. [DOI] [PubMed] [Google Scholar]
- 85.Vordeholzer U., Hornyak M., Thiel B., et al. Impact of experimentally induced serotonin deficiency by tryptophan depletion on sleep EEG in healthy subjects. Neuropsychopharmacology. 1998;18:112–124. doi: 10.1016/S0893-133X(97)00094-8. [DOI] [PubMed] [Google Scholar]
- 86.Landolt HP., Schnierow BJ., Kelsoe JR., Rappaport MH., Gillin JC. Phenelzine-induced suppression of REM sleep can be reversed by rapid tryptophan depletion. Sleep. 2000;23(suppl2):A34. doi: 10.1046/j.1365-2869.2003.00336.x. [DOI] [PubMed] [Google Scholar]
- 87.Gaillard JM., de St Hilaire-Kafi S. Sleep, depression and the effects of antidepressant drugs. Acta Psychiatr Belg. 1985;85:561–567. [PubMed] [Google Scholar]
- 88.Winokur A., Gary AK., Rodner S., Rae-Red C., Fernando AT., Szuba MP. Depression, sleep physiology and antidepressant drugs. Depress Anxiety. 2001;14:19–28. doi: 10.1002/da.1043. [DOI] [PubMed] [Google Scholar]
- 89.Luthringer R., Toussaint M., Schaltenbrand N., et al. A double-blind, placebocontrolled evaluation of the effects of orally administered venlafexine on sleep in inpatients with major depression. Psychopharmacol Bull. 1996;32:637–642. [PubMed] [Google Scholar]
- 90.Van Bemmel AL., Beersma DGM., Van Den Hoofdakker RH. Changes in EEG power density of NREM sleep in depressed patients during treatment with citalopram. J Sleep Res. 1993;2:156–162. doi: 10.1111/j.1365-2869.1993.tb00080.x. [DOI] [PubMed] [Google Scholar]
- 91.Van Bemmel AL., Beersma DGM., Van Den Hoofdakker RH. Changes in EEG power density of non-REM sleep in depressed patients during treatment with trazodone. J Affect Disord. 1995;35:11–19. doi: 10.1016/0165-0327(95)00033-j. [DOI] [PubMed] [Google Scholar]
- 92.Schlosser R., Roschke J., Rossbach W., Benkert O. Conventional and spectral power analysis of all-night sleep EEG after subchronic treatment with paroxetine in helathy male volunteers. Eur Neuropsychopharmacol. 1998;8:273–278. doi: 10.1016/s0924-977x(97)00080-1. [DOI] [PubMed] [Google Scholar]
- 93.McEwen BS. The neurobiology of stress: from serendipity to clinical relevance. Brain Res. 2000;886:172–189. doi: 10.1016/s0006-8993(00)02950-4. [DOI] [PubMed] [Google Scholar]
- 94.Aston-Jones G., Chen S., Zhu Y., Oshinsky ML. A neural circuit for circadian regulation of arousal. Wat. Neurosci. 2001;4:732–738. doi: 10.1038/89522. [DOI] [PubMed] [Google Scholar]
- 95.Dugovic C. Role of serotonin in sleep mechanisms. Rev Neurol (Paris). 2001;157:5S16–5S17. [PubMed] [Google Scholar]
- 96.Jouvet M. Sleep and serotonin: an unfinished story. Neuropsychopharmacology. 1999;21:24S–27S. doi: 10.1016/S0893-133X(99)00009-3. [DOI] [PubMed] [Google Scholar]
- 97.Cape EG., Jones BE. Differential modulation of high-frequency gammaelectroencephalogram activity and sleep-wake state by noradrenaline and serotonin microinjections into the region of cholinergic basalis neurons. J Neurosci. 1998;18:2653–2666. doi: 10.1523/JNEUROSCI.18-07-02653.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]