Evoked potentials: three-dimensional display.

Procedures are described for displaying large numbers of evoked potentials. A photographic superposition of average evoked responses, with the concurrent modulation of the brightness of each trace, yields a display having the appearance of a three-dimensional surface formed from hundreds of average responses.

Survivin promoter polymorphism and cervical carcinogenesis.

BACKGROUND: Survivin, a novel member of the inhibitor of apoptosis family, plays an important role in cell cycle regulation. A common polymorphism at the survivin gene promoter (G/C at position 31) was shown to be correlated with survivin gene expression in cancer cell lines. AIM: To investigate whether this polymorphism could be involved in the development of human papillomavirus (HPV)-associated cervical carcinoma. METHODS: Survivin promoter polymorphism was detected in patients with cervical cancer, in patients with equivocal cytological atypia and in a control population using polymerase chain reaction (PCR-restriction fragment length polymorphism (RFLP) and PCR-single strand conformation polymorphism analysis. HPV was typed in patients with cervical cancer and cytological atypia using PCR-RFLP. RESULTS: No statistically significant differences were found in the genotype distributions of the survivin promoter variants among our study groups. CONCLUSIONS: The survivin promoter polymorphism at position 31 may not represent an increased risk for the development of cervical cancer, at least in the population studied here.

Electroencephalographic sleep of younger depressives. Comparison with normals.

The electroencephalographic sleep of younger depressives (aged 20 to 44 years) was compared with that of an age-matched group of normals. The patients demonstrated many of the typical sleep changes reported for older depressed populations: shortened rapid-eye-movement (REM) latency; REM sleep activity alterations, with a shift to the early portion of the night (first REM period); reduced delta sleep; and sleep efficiency reductions marked by sleep-onset difficulties. The traditional scoring procedures were supplemented by automated REM and delta-sleep analyses that provided more precise delineation of these differences between patients and normals, particularly the distributions of REM activity and delta-wave patterning.

Sleep homeostasis and models of sleep regulation.

According to the two-process model of sleep regulation, the timing and structure of sleep are determined by the interaction of a homeostatic and a circadian process. The original qualitative model was elaborated to quantitative versions that included the ultradian dynamics of sleep in relation to the non-REM-REM sleep cycle. The time course of EEG slow-wave activity, the major marker of non-REM sleep homeostasis, as well as daytime alertness were simulated successfully for a considerable number of experimental protocols. They include sleep after partial sleep deprivation and daytime napping, sleep in habitual short and long sleepers, and alertness in a forced desynchrony protocol or during an extended photoperiod. Simulations revealed that internal desynchronization can be obtained for different shapes of the thresholds. New developments include the analysis of the waking EEG to delineate homeostatic and circadian processes, studies of REM sleep homeostasis, and recent evidence for local, use-dependent sleep processes. Moreover, nonlinear interactions between homeostatic and circadian processes were identified. In the past two decades, models have contributed considerably to conceptualizing and analyzing the major processes underlying sleep regulation, and they are likely to play an important role in future advances in the field.

Simulation of human sleep: ultradian dynamics of electroencephalographic slow-wave activity.

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.

Wrist activity monitoring in air crew members: a method for analyzing sleep quality following transmeridian and north-south flights.

Home base recordings of motor activity during bedtime, and of subjective sleep parameters, were obtained from air crew members before and after the following routes with multiple flight segments: (1) south-north (SN) across 1 time zone; (2) west-east (WE) across 17 time zones; (3) east-west (EW) across 7 time zones. For the EW route, recordings were also obtained during layover. Only after return from the EW route was bedtime motor activity (measured by a wrist-worn ambulatory monitor) enhanced, was the percentage of bedtime immobility periods reduced, and were frequency and duration of self-assessed waking after sleep onset increased. The subjects rated their sleep as less quiet and felt less rested than during baseline. The various parameters gradually reverted toward baseline during the first 4 days at home. Although sleep showed only minor impairments during the EW route, the subjective jet-lag score was high during layover and after return to home base. Ambulatory activity monitoring is a useful method for assessing sleep quality after long-haul flights.

Sleep and waking have a major effect on the 24-hr rhythm of cortical temperature in the rat.

The relationship between the time course of cortical temperature (TCRT) and sleep-wake alternation was investigated by correlation analyses and a computer simulation. The data for these analyses were collected in 10 rats in a 4-day experiment (LD 12:12), during which vigilance states and TCRT were determined for consecutive 8-sec epochs. On day 1 baseline recordings were obtained; on day 2 the animals were sleep-deprived; and days 3 and 4 served as recovery days. The correlation analyses revealed that the alternation of sleep and waking accounted for 84% of the variance of TCRT when analyzed for hourly intervals. The residual variance displayed a 24-hr periodicity with an amplitude of 0.15 degrees C. Similar results were obtained in a separate data set of a 2-day experiment, which consisted of a baseline day (LD 12:12) and a day with constant darkness. The periodicity of the residual variance of TCRT can therefore be considered to represent the circadian temperature rhythm not masked by the vigilance states. In the computer simulation, the time course of TCRT was simulated on the basis of the sequence of the vigilance states with an 8-sec time resolution. It was assumed that TCRT increases during waking and rapid-eye-movement (REM) sleep according to an exponential saturating function, and decreases exponentially during non-REM sleep. The simulations could account for 88-93% of the variance of TCRT. We conclude that in the rat, the major part of the variation of TCRT is accounted for by vigilance states, whereas a minor part can be attributed to a direct effect of the circadian pacemaker.

Sleep initiation and initial sleep intensity: interactions of homeostatic and circadian mechanisms.

Sleep initiation and sleep intensity in humans show a dissimilar time course. The propensity of sleep initiation (PSI), as measured by the multiple sleep latency test, remains at a relatively constant level throughout the habitual period of waking or exhibits a midafternoon peak. When waking is extended into the sleep period, PSI rises rapidly within a few hours. In contrast, sleep intensity, as measured by electroencephalographic slow-wave activity during naps, shows a gradual increase during the period of habitual waking. In the two-process model of sleep regulation, it corresponds to the rising limb of the homeostatic Process S. We propose that PSI is determined by the difference between Process S and the threshold H defining sleep onset, which is modulated by the circadian process C. In contrast to a previous version of the model, the parameters of H (amplitude, phase, skewness) differ from those of threshold L, which defines sleep termination. The present model is able to simulate the time course of PSI under baseline conditions as well as following recovery sleep after extended sleep deprivation. The simulations suggest that during the regular period of waking, a circadian process counteracts the increasing sleep propensity induced by a homeostatic process. Data obtained in the rat indicate that during the circadian period of predominant waking, a circadian process prevents a major intrusion of sleep.

Sleep and the sleep electroencephalogram across the menstrual cycle in young healthy women.

Cyclic changes in hormones, body temperature, and metabolic rate characterize the menstrual cycle. To investigate whether these changes are associated with changes in sleep and the sleep electroencephalogram (EEG), a total of 138 sleep episodes from 9 women with no premenstrual syndrome symptoms were recorded every second night throughout one ovulatory menstrual cycle and analyzed in relation to menstrual phase. Ovulation and menstrual cycle stage were confirmed by measurements of temperature, urinary LH, and midluteal plasma levels of estrogen and progesterone. No significant variation across the menstrual cycle was observed for subjective ratings of sleep quality and mood as well as for objective measures of total sleep time, sleep efficiency, sleep latency, rapid eye movement sleep latency, and slow wave sleep. In nonrapid eye movement sleep, EEG power density in the 14.25-15.0 hertz band, which corresponds to the upper frequency range of the sleep spindles, exhibited a large variation across the menstrual cycle, with a maximum in the luteal phase. The data show that in healthy young women, sleep spindle frequency activity varies in parallel with core body temperature, whereas homeostatic sleep regulatory mechanisms, as indexed by the time course of EEG slow wave activity are not substantially affected by the menstrual cycle.

Seasonal variations in the endogenous rhythm of dopamine receptor binding in rat striatum.

In four experiments, performed at different months throughout the year, a significant daily rhythm in dopamine receptor binding has been observed. This rhythm is endogenous, as it persists in the absence of time cues. Striking differences in wave form, amplitudes, and timing of peaks during the year suggest that the endogenous rhythm undergoes seasonal variations.

Individual 'fingerprints' in human sleep EEG topography.

The sleep EEG of eight healthy young men was recorded from 27 derivations during a baseline night and a recovery night after 40 h of waking. Individual power maps of the nonREM sleep EEG were calculated for the delta, theta, alpha, sigma and beta range. The comparison of the normalized individual maps for baseline and recovery sleep revealed very similar individual patterns within each frequency band. This high correspondence was quantified and statistically confirmed by calculating the Manhattan distance between all pairs of maps within and between individuals. Although prolonged waking enhanced power in the low-frequency range (0.75-10.5 Hz) and reduced power in the high-frequency range (13.25-25 Hz), only minor effects on the individual topography were observed. Nevertheless, statistical analysis revealed frequency-specific regional effects of sleep deprivation. The results demonstrate that the pattern of the EEG power distribution in nonREM sleep is characteristic for an individual and may reflect individual traits of functional anatomy.

Caffeine reduces low-frequency delta activity in the human sleep EEG.

In view of the hypothesis that adenosine is involved in sleep regulation, the effects of the adenosine antagonist caffeine on sleep and sleep EEG were investigated in eight young males. Compared to the placebo condition, caffeine (100 mg) administered at bedtime prolonged sleep latency and reduced sleep efficiency and stage 4 of non-rapid eye movement sleep (NREMS). Electroencephalographic slow-wave activity (SWA, spectral power density in the 1.75-4.5-Hz band) was reduced, whereas power density in the spindle frequency range was slightly enhanced. The suppression of SWA was limited to the first NREMS episode. Caffeine reduced the power density mainly in the lowest delta band, in contrast to the changes during physiological sleep that encompass both the delta and theta bands. Caffeine levels in saliva, assessed in a separate experiment, decreased from 7.5 mumol/l in the first hour of sleep to 3.5 mumol/l in the seventh hour. In the night following caffeine administration, stage 4 sleep had reverted to the baseline level, but sleep latency was still increased, and stage 2 sleep, as well as SWA in the first NREMS episode, were reduced. The data show that even a low dose of caffeine affects the sleep EEG. However, the effects of caffeine did not completely mimic the spectral changes observed during physiological sleep.

The effects of ethanol on human sleep EEG power spectra differ from those of benzodiazepine receptor agonists.

A single dose of ethanol (0.60 g/kg of body weight) was administered to eight young healthy male subjects 35 minutes before bedtime. Compared to the average value of two baseline nights, subjective sleep and polysomnographically determined sleep parameters were not significantly affected. In the first 2 hours of sleep after ethanol intake, the combined value of wakefulness, stage 1, and movement time was reduced. In this interval, visually scored stage 4 sleep was increased, and electroencephalographic (EEG) power density in nonrapid-eye-movement (nonREM) sleep was enhanced in the lowest delta frequencies and reduced in the beta range. Computed for the entire sleep episode, power density in REM sleep was enhanced in some theta frequencies. In the sleep episode initiated 24 hours after ethanol intake, power density in nonREM and REM sleep was enhanced in delta and theta frequencies, and the subjectively perceived number of awakenings was reduced. The effects of ethanol on EEG power spectra during sleep differ from those published for benzodiazepine and nonbenzodiazepine hypnotics. This indicates that the effects of ethanol on the human sleep EEG are not mediated by the benzodiazepine receptor.

Dynamics of slow-wave activity and spindle frequency activity in the human sleep EEG: effect of midazolam and zopiclone.

Electroencephalographic slow-wave activity (SWA; power density in the 0.75 to 4.5 Hz band) and spindle frequency activity (SFA; 11.25 to 15.0 Hz) exhibit a typical time course and a distinct mutual relationship during sleep. Because benzodiazepines (BDZ) suppress SWA and enhance SFA, we investigated the effect of two BDZ-receptor agonists on the dynamics of these EEG parameters. A single dose of midazolam (15 mg), zopiclone (7.5 mg), or placebo was administered before bedtime to healthy young men. Although the two drugs reduced SWA and enhanced SFA, their time course across and within sleep cycles as well as their mutual relationship were little affected. The results constitute further evidence that hypnotics acting as BDZ-receptor agonists do not substantially interfere with the homeostatic aspect of sleep regulation.

Effect of zopiclone and midazolam on sleep and EEG spectra in a phase-advanced sleep schedule.

Midazolam (15 mg), a benzodiazepine (BDZ) hypnotic, and zopiclone (7.5 mg), a non-BDZ hypnotic, were administered to young, healthy subjects prior to bedtime. They went to bed at 2300 hours after taking placebo (PL-23), and then on three occasions at 1900 hour after taking placebo (PL-19) or one of the hypnotics. Advancing bedtime by 4 hour increased the combined value of waking, stage 1, and movement time. Compared to PL-19, both drugs reduced sleep latency and stage 3, and increased stage 2. Spectral analysis of the EEG in non-rapid-eye-movement sleep revealed a declining trend of power density in the low-frequency range in the course of the night. Activity in the 1 to 10 Hz range was markedly depressed by the two hypnotics, whereas activity in the spindle range (11 to 14 Hz) was augmented. The former changes persisted throughout the 12-hour recording period. The fact that both hypnotics bind to BDZ receptors could be responsible for the similar effects on the EEG spectra.

Serotonin-2 receptors and human sleep: effect of a selective antagonist on EEG power spectra.

To investigate the effect on the sleep EEG, a 1-mg oral dose of SR 46349B, a novel 5-HT2 antagonist, was administered three hours before bedtime. The drug enhanced slow wave sleep (SWS) and reduced stage 2 without affecting subjective sleep quality. In nonREM sleep (NREMS) EEG slow-wave activity (SWA; power within 0.75-4.5 Hz) was increased and spindle frequency activity (SFA; power within 12.25-15 Hz) was decreased. The relative NREMS power spectrum showed a bimodal pattern with the main peak at 1.5 Hz and a secondary peak at 6 Hz. A regional analysis based on bipolar derivations along the antero-posterior axis revealed significant 'treatment' x 'derivation' interactions within the 9-16 Hz range. In enhancing SWA and attenuating SFA, the 5-HT2 receptor antagonist mimicked the effect of sleep deprivation, whereas the pattern of the NREMS spectrum differed.

Low-frequency (< 1 Hz) oscillations in the human sleep electroencephalogram.

Low-frequency (< 1 Hz) oscillations in intracellular recordings from cortical neurons were first reported in the anaesthetized cat and then also during natural sleep. The slow sequences of hyperpolarization and depolarization were reflected by slow oscillations in the electroencephalogram. The aim of the present study was to examine whether comparable low-frequency components are present in the human sleep electroencephalogram. All-night sleep recordings from eight healthy young men were subjected to spectral analysis in which the low-frequency attenuation of the amplifier was compensated. During sleep stages with a predominance of slow waves and in the first two episodes of non-rapid-eye-movement sleep, the mean power spectrum showed a peak at 0.7-0.8 Hz (range 0.55-0.95 Hz). The typical decline in delta activity from the first to the second non-rapid-eye-movement sleep episode was not present at frequencies below 2 Hz. To detect very low frequency components in the pattern of slow waves and sleep spindles, a new time series was computed from the mean voltage of successive 0.5 s epochs of the low-pass (< 4.5 Hz) or band-pass (12-15 Hz) filtered electroencephalogram. Spectral analysis revealed a periodicity of 20-30 s in the prevalence of slow waves and a periodicity of 4 s in the occurrence of activity in the spindle frequency range. The results demonstrate that distinct components below 1 Hz are also present in the human sleep electroencephalogram spectrum. The differences in the dynamics between the component with a mean peak value at 0.7-0.8 Hz and delta waves above 2 Hz is in accordance with results from animal experiments.

Coherence analysis of the human sleep electroencephalogram.

Animal studies have shown that the sleep-related oscillations in the frequency range of spindles and slow-waves, and in the gamma band occur synchronously over large parts of the cerebral cortex. Coherence analysis was used to investigate these oscillations in the human sleep electroencephalogram. In all-night electroencephalogram recordings from eight young subjects power and coherence spectra within and between cerebral hemispheres were computed from bipolar derivations placed bilaterally along the antero-posterior axis. The 0.75-50 Hz range was examined with a resolution of 0.25 Hz. Distinct peaks in coherence were present in non-rapid eye movement sleep but not in rapid eye movement sleep. The most prominent and consistent peak was seen in the range of sleep spindles (13-14 Hz), and additional peaks were present in the alpha band (9-10 Hz) and low delta band (1-2 Hz). Whereas coherence in the spindle range was highest in stage 2, the alpha peak was most prominent in slow-wave sleep (stages 3 and 4). Interhemispheric coherence at 30 Hz was higher in rapid eye movement sleep than in non-rapid eye movement sleep. There were also marked sleep state-independent regional differences. Coherence between homologous interhemispheric derivations was high in the low frequency range and declined with increasing frequencies, whereas coherence of intrahemispheric and non-homologous interhemispheric derivations was at a low level throughout the spectra. It is concluded that coherence analysis may provide insights into large-scale functional connectivities of brain regions during sleep. The high coherence of sleep spindles is an indication for their widespread and quasi-synchronous occurrence throughout the cortex and may point to their specific role in the sleep process.

Dual electroencephalogram markers of human sleep homeostasis: correlation between theta activity in waking and slow-wave activity in sleep.

To investigate the relationship between markers of sleep homeostasis during waking and sleep, the electroencephalogram of eight young males was recorded intermittently during a 40-h waking episode, as well as during baseline and recovery sleep. In the course of extended waking, spectral power of the electroencephalogram in the 5-8Hz band (theta activity) increased. In non-rapid eye movement sleep, power in the 0.75-4.5Hz band (slow-wave activity) was enhanced in the recovery night relative to baseline. Comparison of individual records revealed a positive correlation between the rise rate of theta activity during waking and the increase in slow-wave activity in the first non-rapid eye movement sleep episode. A topographic analysis based on 27 derivations showed that both effects were largest in frontal areas. From these results, we suggest that theta activity in waking and slow-wave activity in sleep are markers of a common homeostatic sleep process.

Interhemispheric coherence of the sleep electroencephalogram in mice with congenital callosal dysgenesis.

Regional differences in the effect of sleep deprivation on the sleep electroencephalogram (EEG) may be related to interhemispheric synchronization. To investigate the role of the corpus callosum in interhemispheric EEG synchronization, coherence spectra were computed in mice with congenital callosal dysgenesis (B1) under baseline conditions and after 6-h sleep deprivation, and compared with the spectra of a control strain (C57BL/6). In B1 mice coherence was lower than in controls in all vigilance states. The level of coherence in each of the three totally acallosal mice was lower than in the mice with only partial callosal dysgenesis. The difference between B1 and control mice was present over the entire 0.5-25 Hz frequency range in non-rapid eye movement sleep (NREM sleep), and in all frequencies except for the high delta and low theta band (3-7 Hz) in rapid eye movement (REM) sleep and waking. In control mice, sleep deprivation induced a rise of coherence in the Delta band of NREM sleep in the first 2 h of recovery. This effect was absent in B1 mice with total callosal dysgenesis and attenuated in mice with partial callosal dysgenesis. In both strains the effect of sleep deprivation dissipated within 4 h. The results show that EEG synchronization between the hemispheres in sleep and waking is mediated to a large part by the corpus callosum. This applies also to the functional changes induced by sleep deprivation in NREM sleep. In contrast, interhemispheric synchronisation of theta oscillations in waking and REM sleep may be mediated by direct interhippocampal connections.