The topographical distribution of alpha activity (8.125-11.125 Hz) in the REM sleep EEG, its time course within and across REM sleep episodes, and the effects of selective REM sleep deprivation were ...investigated in 8 young males. Power spectra of bipolar derivations along the antero-posterior axis in the left (F3C3, C3P3, P301) and right (F4C4, C4P4, P402) hemisphere were calculated. Alpha activity increased along the antero-posterior axis in both hemispheres, and was dominant in the right hemisphere. It decreased within and across REM sleep episodes. Selective REM sleep deprivation resulted in a reduction of alpha activity in the REM sleep EEG. However, the topographical distribution and the time course were not affected. It is suggested that alpha activity in the REM sleep EEG is a marker of REM sleep homeostasis.
Although repeated selective rapid eye movement (REM) sleep deprivation by awakenings during nighttime has shown that the number of sleep interruptions required to prevent REM sleep increases within ...and across consecutive nights, the underlying regulatory processes remained unspecified. To assess the role of circadian and homeostatic factors in REM sleep regulation, REM sleep was selectively deprived in healthy young adult males during a daytime sleep episode (7-15 h) after a night without sleep. Circadian REM sleep propensity is known to be high in the early morning. The number of interventions required to prevent REM sleep increased from the first to the third 2-h interval by a factor of two and then leveled off. Only a minor REM sleep rebound (11.6%) occurred in the following undisturbed recovery night. It is concluded that the limited rise of interventions during selective daytime REM sleep deprivation may be due to the declining circadian REM sleep propensity, which may partly offset the homeostatic drive and the sleep-dependent disinhibition of REM sleep.
The effect of melatonin (5 mg, p.o.) on electroencephalographic (EEG) activity during sleep was investigated in eight men in a placebo-controlled cross-over design. Melatonin was administered ...immediately prior to a 4-h daytime sleep episode (13–17 h) after a partial sleep deprivation. The non-REM sleep stages and REM sleep duration were not significantly affected. Melatonin enhanced EEG power density in non-REM sleep in the 13.75–14.0 Hz bin (i.e., within the frequency range of sleep spindles), and reduced activity in the 15.25–16.5 Hz band. In the first 2 h spectral values within the 2.25–5.0 Hz range were reduced. These changes in the EEG are to some extent similar to those induced by benzodiazepine hypnotics and to the contribution of the endogenous circadian pacemaker to the spectral composition of the sleep EEG when sleep occurs at night.
The effect of a moderate dose of ethanol (0.55 g/kg of body weight), administered 6 hours before scheduled bedtime, on performance, nocturnal sleep, and the sleep electroencephalogram (EEG) was ...investigated in 10 healthy, middle-aged men (mean age: 61.6 +/- 0.9 years). By the beginning of the sleep episode, breath-ethanol concentrations had declined to zero in all subjects. Compared with the control condition (mineral water), sleep was perceived as more superficial. Sleep efficiency, total sleep time, stage 1, and rapid eye movement (REM) sleep were reduced. In the second half of the sleep episode, wakefulness exhibited a twofold increase. EEG power density in low delta frequencies was enhanced in non-REM sleep (1.25-2.5 Hz) and REM sleep (1.25-1.5 Hz). In slow wave sleep (i.e., stages 3 + 4), power density was increased not only in the low-frequency range (1.25-1.5, 2.25-4.0, 4.75-5.0 Hz) but also within the alpha (8.25-9.0 Hz) and sigma (12.25-13.0 Hz) band. The data demonstrate that late-afternoon ethanol intake in middle-aged men disrupts sleep consolidation, affects the sleep stage distribution, and alters the sleep EEG.
Napping benefits and sustains subsequent performance. Prophylactic naps have been recommended as a means to maintain performance during extended wakefulness, as required during shiftwork. However, ...napping may cause short-term performance impairments, because awakening from sleep is followed by sleep inertia, a period of hypovigilance and impaired cognitive and behavioral performance. We investigated sleep inertia after an afternoon nap. Healthy 18–28 year-olds (
n=50, not sleep deprived) were assigned to sleep, active wake or rest groups for a 2-h experimental phase with polysomnography starting either at 14:00 or 16:00 for half of each group. Before (baseline, 12:30 or 14:30) and in five sessions during the hour after the experimental phase (16:00–17:00 or 18:00–19:00), subjects completed an addition task, an auditory reaction time task, and the Stanford Sleepiness Scale. In session one, addition speed in the sleep group was reduced compared with baseline and with active wake controls, whereas calculation accuracy did not change. Addition speed in the sleep and rest groups increased substantially from session one to session two and reached a level similar to that of the active wake group by the fifth session. In the first session, auditory reaction speed of the sleep group was reduced compared with baseline and with rest controls but did not differ from the active wake group. The slowest reaction times showed significant recovery after 20 min. The groups reported similar increases in subjective sleepiness after the experimental period. These findings provide evidence for performance slowing and recovery during the hour following a 2-h nap opportunity. They highlight the importance of employing multiple control groups and various objective and subjective measures to assess sleep inertia.
Vigilance states and EEG power density of the rat were determined after a 3- or 6-h sleep deprivation (SD) in the beginning of the 12-h light period. In comparison to baseline, non-rapid eye movement ...(REM) sleep showed a delayed and transitory increase after 3 h SD, and an immediate and persistent increase after 6 h SD. REM sleep was not affected. In non-REM sleep, EEG power density in the low-frequency range (0.75-6.0 Hz) was markedly enhanced after 6 h SD, but not significantly increased after 3 h SD. In REM sleep EEG activity in the 5-6 Hz band was increased after 6 h SD. We conclude that in the early part of the light period, 3 h waking prolongs non-REM sleep, whereas 6 h waking also enhances non-REM sleep intensity.
According to the two-process model of sleep regulation, a homeostatic Process S increases during waking and declines during sleep. For humans, the time course of S has been derived from the changes ...in EEG slow-wave activity (SWA; spectral power density in the 0.75-4.0 Hz range) during sleep. We tested the applicability of the model to sleep in the rat. The simulation was based on the vigilance states for consecutive 8-s epochs of a 96-h experiment in 9 animals. The level of S was made to decrease in epochs of non-REM sleep (NREMS), and to increase in epochs of waking or REM sleep according to exponential functions. By optimizing the initial value and the time constants of S, a close fit between the hourly values of SWA in NREMS and of S was obtained. The biphasic time course of SWA during baseline, its enhancement in the initial recovery period after 24-h sleep deprivation, and its subsequent prolonged undershoot were present in the simulation. We conclude that sleep homeostasis as conceptualized in the two-process model may be a general property of mammalian sleep.
The typical declining trend of electroencephalographic (EEG) slow-wave activity (SWA) within a sleep period is represented in the two-process model of sleep regulation by an exponentially decaying ...process (Process S). The model has been further elaborated to simulate not only the global changes of SWA, but also the dynamics within non-rapid-eye-movement (non-REM) sleep episodes. In this new model, the initial intraepisodic buildup of SWA is determined by the combined action of an exponentially increasing process and a saturation process, whereas its fall at the end of an episode is due to an exponentially decreasing process. The global declining trend of SWA over consecutive episodes results from the monotonic decay of the intraepisodic saturation level. In contrast to Process S in the two-process model, this decay is not represented by an exponential function, but is proportional to the momentary level of SWA. REM sleep episodes are triggered by an external function. The model allows one to simulate the ultradian pattern of SWA for baseline nights as well as changes induced by a prolonged waking period, a daytime nap, a partial slow-wave sleep deprivation, or an antidepressant drug.
The two-process model of sleep regulation postulates that a homeostatic and a circadian process underlie sleep regulation. The timing of sleep and waking is accounted for by the interaction of these ...two processes. The assumptions of two separate processes or of a single process resulting from their additive interaction are mathematically equivalent but conceptually different. Based on an additive interaction, subjective alertness ratings in a forced desynchrony protocol and subjective sleepiness ratings in a photoperiod experiment were simulated. The correspondence between empirical and simulated data supports the basic assumption of the model.
Human sleep electroencephalograms, recorded in four experiments, were subjected to spectral analysis. Waking prior to sleep varied from 12 to 36 h and sleep was initiated at different circadian ...phases. Power density of delta and theta frequencies in rapid-eye-movement (REM) sleep and non-REM (NREM) sleep increased monotonically as a function of prior waking. The increase of power density in the theta frequencies contrasts with the reported decrease of theta activity as detected by period-amplitude analysis. Slow wave activity (power density, 0.25-4.0 Hz) in NREM sleep during the first 3 h of sleep did not deviate significantly from the homeostatic process S of the two-process model of sleep regulation. In contrast, visually scored slow wave sleep, stages 3 and 4, deviated from this prediction at some circadian phases. It is concluded that, in accordance with the two-process model of sleep regulation, slow wave activity in NREM sleep depends on prior waking and is not significantly influenced by circadian phase.
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