Effect of total sleep deprivation on the dimensional complexity of the waking EEG

STUDY OBJECTIVES: Sleep deprivation can affect the waking EEG that may reflect information processing of the brain. We examined the effect of total sleep deprivation (TSD) on nonlinear dynamics of the waking EEG. DESIGN: Paired-group design. SETTING: A sleep disorders laboratory in a hospital. PARTICIPANTS: Twenty healthy male volunteers. INTERVENTIONS: Waking EEG data were recorded from subjects with eyes closed after (a) an 8-hour night's sleep and (b) TSD for 24 hours. The dimensional complexity (D2), as a nonlinear measure of complexity, of the EEG after a full night sleep were compared with those of the EEG after TSD. MEASUREMENTS AND RESULTS: The sleep-deprived states had lower D2 values at three channels (P4, O2, and C3) than normal states. CONCLUSIONS: TSD results in the decrease of complexity in the brain, which may imply sub-optimal information processing of the cerebral cortex. We suggest that the investigation of the relation between nonlinear dynamics of the waking EEG induced by TSD and cognitive performance may offer fruitful clues for understanding the role of sleep and the effects of sleep deprivation on brain function.     

Slow-wave sleep deprivation and waking function

SUMMARY  Slow-wave sleep (SWS) has been theorized to be an intense form of nonREM sleep, but selective deprivation of SWS or Stage 4 sleep has not been shown to cause greater decrements in alertness or performance, compared to deprivation or disruption of the other stages of sleep. The present experiment examined the effects of marked SWS deprivation (SD) for two nights, a control sleep disruption (CD) condition in which minutes of SWS were preserved, and a no sleep disruption (ND) condition. Daytime sleepiness was assessed with the multiple sleep latency test (MSLT) and performance was evaluated with the simulated assembly line task (SALT), neither of which was used in previous studies of SWS or Stage 4 sleep deprivation. In agreement with prior studies, two nights of SD did not cause greater daytime sleepiness than did CD, although sleepiness in both conditions was increased compared to the ND condition. In addition, neither SD nor CD caused declines in performance or mood. However, post hoc analysis suggests an interaction between SWS and sleep duration, such that sufficient SWS may tend to prevent adverse effects of mild sleep loss on waking function.     

Effect of 38 h of total sleep deprivation on the waking EEG in women: sex differences

38 h of sleep deprivation in women resulted in decreased alpha, increased theta and increased intrahemispheric correlation during rest and increased theta and reaction time during task. F3–O1 coherent activity was selectively decreased consistent with the role of sleep for recovery of frontal functions. Sleep deprivation effects were milder in women than in men, however, recovery was not complete suggesting that women need more sleep than men to recover.     

The effects of total sleep deprivation on brain functional organization: mutual information analysis of waking human EEG.

Sleep deprivation can affect the waking electroencephalogram (EEG) that may reflect functional organization of the brain. We examined the effect of total sleep deprivation (TSD) on functional organization between different cortical areas from the waking EEG. Waking EEG data were recorded from 18 healthy male volunteers with eyes closed after 8-h night's sleep and after 24 h of TSD. The averaged cross mutual information (A-CMI) after 24 h of TSD were compared to before TSD. 24 h of TSD yielded the decreased A-CMIs in the inter-hemispheric C3-F4, C3-F8, and C3-C4 pairs: therefore, the electrodes that contribute to pairs with significant decrease of A-CMI were C3, F4, F8, and C4. The decreased A-CMIs between C3 and right frontal and central brain areas after 24 h of TSD may reflect the changes of cortico-cortical functional organization by homeostatic process during TSD. Our results of the frontal-area-related A-CMI decreases may support that the frontal brain regions are related to the homeostatic deterioration of brain function due to TSD.     

Noradrenergic neurons expressing Fos during waking and paradoxical sleep deprivation in the rat

Noradrenaline is known to induce waking (W) and to inhibit paradoxical sleep (PS or REM). Both roles have been exclusively attributed to the noradrenergic neurons of the locus coeruleus (LC, A6), shown to be active during W and inactive during PS. However, the A1, A2, A5 and A7 noradrenergic neurons could also be responsible. Therefore, to determine the contribution of each of the noradrenergic groups in W and in PS inhibition, rats were maintained in continuous W for 3 h in a novel environment or specifically deprived of PS for 3 days, with some of them allowed to recover from this deprivation. A double immunohistochemical labeling with Fos and tyrosine hydroxylase was then performed. Thirty percent of the LC noradrenergic cells were found to be Fos-positive after exposure to the novel environment and less than 2% after PS deprivation. In contrast, a significant number of double-labeled neurons (up to 40% of the noradrenergic neurons) were observed in the A1/C1, A2 and A5 groups, after both novel environment and PS deprivation. After PS recovery and in control condition, less than 1% of the noradrenergic neurons were Fos-immunoreactive, regardless of the noradrenergic group. These results indicate that the brainstem noradrenergic cell groups are activated during W and silent during PS. They further suggest that the inhibitory effect of noradrenaline on PS may be due to the A1/C1, A2 and to a lesser degree to A5 neurons but not from those of the LC as previously hypothesized.     

Interhemispheric sleep EEG asymmetry in the rat is enhanced by sleep deprivation

Vigilance state-related topographic variations of electroencephalographic (EEG) activity have been reported in humans and animals. To investigate their possible functional significance, the cortical EEG of the rat was recorded from frontal and parietal derivations in both hemispheres. Records were obtained for a 24-h baseline day, 6-h sleep deprivation (SD), and subsequent 18-h recovery. During the baseline 12-h light period, the main sleep period of the rat, low-frequency (<7.0 Hz) power in the non-rapid eye-movement (NREM) sleep EEG declined progressively. Left-hemispheric predominance of low-frequency power at the parietal derivations was observed at the beginning of the light period when sleep pressure is high due to preceding spontaneous waking. The left-hemispheric dominance changed to a right-hemispheric dominance in the course of the 12-h rest-phase when sleep pressure dissipated. During recovery from SD, both low-frequency power and parietal left-hemispheric predominance were enhanced. The increase in low-frequency power in NREM sleep observed after SD at the frontal site was larger than at the parietal site. However, frontally no interhemispheric differences were present. In REM sleep, power in the theta band (5.25-8.0 Hz) exhibited a right-hemispheric predominance. In contrast to NREM sleep, the hemispheric asymmetry showed no trend during baseline and was not affected by SD. Use-dependent local changes may underlie the regional differences in the low-frequency NREM sleep EEG within and between hemispheres. The different interhemispheric asymmetries in NREM and REM sleep suggest that the two sleep states may subserve different functions in the brain.     

Prolonged effects of 24-h total sleep deprivation on sleep and sleep EEG in the rat

Long-term effects of 24-h sleep deprivation (SD) on sleep and sleep EEG were analyzed in male rats during 4 recovery days (Rec). An increase of total sleep time and non-rapid eye-movement (NREM) sleep was present during Rec 1-4, and of REM sleep in Rec 1 and in the dark periods of Rec 2 and 3. After the initial increase of slow-wave activity (SWA, mean EEG power density in the 0.75-4.0 Hz range) in NREM sleep, SWA declined below baseline until Rec 3. Sleep continuity was increased in Rec 1. The persistent effects of SD which are probably due to homeostatic and circadian facets of sleep regulation, must be taken into account in the design of SD studies.     

Diurnal variations in the waking EEG: comparisons with sleep latencies and subjective alertness

Daytime measures of sleep latency and subjective alertness do not correlate with one another, suggesting that they assess different aspects of alertness. In addition, their typical diurnal variations show very different time courses. Quantitative analysis of the waking electroencephalogram (EEG) has been proposed as an objective measure of alertness, but it is not clear how it compares with other measures. In this study, the waking EEG was measured in the daytime to determine the presence of diurnal variations in the activity of standard frequency bands and to compare these variations with the temporal patterns typical of sleep propensity and subjective alertness. Alertness was evaluated in four men and 12 women, aged 19-33 y. Assessments were conducted every 2 h, from 10.00 to 24.00, in the following order: a visual analogue scale of alertness, a waking EEG recording and a sleep latency test. The waking EEG was recorded with eyes open. For each recording session, 32-60 s of artefact-free signals were selected from the C3/A2 derivation, then subjected to amplitude spectral analysis. Four EEG frequency bands showed significant diurnal variations: delta, theta, sigma and beta1. None of these variations showed a significant correlation with the temporal patterns of sleep latencies or subjective alertness. At the individual level, however, theta band activity increased when subjective alertness decreased, suggesting that the theta band can be used to monitor variations in alertness in a given individual, even at the moderate levels of sleepiness experienced during the daytime.     

Topography of EEG dynamics after sleep deprivation in mice

Several recent results show that sleep and sleep regulation are not only global phenomena encompassing the entire brain, but have local features. It is well established that slow-wave activity [SWA; mean electroencephalographic (EEG) power density in the 0.75-4.0 Hz band] in non-rapid eye movement (NREM) sleep is a function of the prior history of sleep and wakefulness. SWA is thought to reflect the homeostatic component of the two-process model of sleep regulation. According to this model, originally formulated for the rat and later extended to human sleep, the timing and structure of sleep are determined by the interaction of a homeostatic Process S and a circadian process. Our aim was to investigate the dynamics of SWA in the EEG of two brain regions (frontal and occipital cortex) after sleep deprivation (SD) in two of the mice strains most often used in gene targeting. C57BL/6J (n = 9) and 129/Ola (n = 8) were recorded during a 24-h baseline day, 6-h SD, and 18-h recovery. Both derivations showed a significant increase in SWA in NREM sleep after SD in both strains. In the first hour of recovery, SWA was enhanced more in the frontal derivation than in the occipital derivation and showed a faster decline. This difference resulted in a lower value for the time constant for the decrease of SWA in the frontal derivation (frontal: 10.9 +/- 2.1 and 6.8 +/- 0.9 h in Ola and C57, respectively; occipital: 16.6 +/- 2.1 and 14.1 +/- 1.5 h; P < 0.02; for each of the strains; paired t-test). Neither time constant differed significantly between the strains. The subdivision of SWA into a slower and faster band (0.75-2.5 Hz and 2.75-4.0 Hz) further highlighted regional differences in the effect of SD. The lower frequency band had a higher initial value in the frontal derivation than in the occipital derivation in both strains. Moreover, in the higher frequency band a prominent reversal took place so that power in the frontal derivation fell below the occipital values in both strains. Thus our results indicate that there may be differences in the brain in the effects of SD on SWA in mice, suggesting regional differences in the dynamics of the homeostatic component of sleep regulation. The data support the hypothesis that sleep has local, use- or waking-dependent features that are reflected in the EEG, as has been shown for humans and the laboratory rat.     

Enhanced slow-wave activity within NREM sleep in the cortical and subcortical EEG of the cat after sleep deprivation.

Electroencephalograms (EEGs) of the cortex and of seven subcortical structures were recorded during two baseline days and during a recovery day following a 12-hour period of sleep deprivation (SD) in eight cats. The EEGs were analyzed by visual scoring and by spectral analysis. The following subcortical structures were studied: hippocampus, amygdala, hypothalamus, nucleus centralis lateralis of the thalamus, septum, nucleus caudatus and substantia nigra. The EEGs of all brain structures exhibited sleep state-dependent changes. In general, slow-wave activity (SWA, 0.5-4.0 Hz) during nonrapid eye movement (NREM) sleep exceeded that of REM sleep. The power spectra (0.5-24.5 Hz) in NREM, as well as the relationship between the power spectra of NREM and REM sleep, differed between the recording sites. Moreover, the rate of increase of SWA in the course of an NREM episode and the rate of decrease of SWA at the transition from NREM to REM sleep differed between the brain structures. During the first 12 hours following SD, the duration of NREM increased due to a prolongation of the NREM episodes. REM increased by a rise in the number of REM episodes. During the same period, the NREM EEG power density in the delta and theta frequencies was enhanced in all brain structures. Furthermore, in all structures the enhancement of SWA was most pronounced at the beginning of the recovery period and gradually declined thereafter. SD also induced a rise in the rate of increase of SWA in the NREM episodes in all recording sites. This indicates that the enhancement of EEG power density was not only due to prolongation of the NREM episodes. The EEG activity during REM was barely affected by the SD. It is concluded that, in all brain structures studied, the EEG during NREM is characterized by high levels of SWA. Furthermore, in each brain structure, SWA within NREM sleep is enhanced after a prolonged vigil. These data may indicate that SWA reflects a recovery process in cortical and subcortical structures.     

Interhemispheric asymmetry of human sleep EEG in response to selective slow-wave sleep deprivation

Recent evidence suggests that the human sleep electroencephalogram (EEG) shows regional differences over both the sagittal and coronal planes. In the present study, in a group of 10 right-handers, the authors investigated the presence of hemispheric asymmetries in the homeostatic regulation of human sleep EEG power during and after selective slow-wave sleep (SWS) deprivation. The SWS deprivation was slightly more effective over the right hemisphere, but the left hemisphere showed a markedly larger increase of EEG power in the 1.00-24.75 Hz range during recovery-night non-REM sleep, and a larger increase of EEG power during both deprivation-night and recovery-night REM sleep. These results support the greater need for sleep recuperative processes of the left hemisphere, suggesting that local sleep regulation processes may also act during REM sleep.     

Comparison of MK-801 and sleep deprivation effects on NREM, REM, and waking spectra in the rat.

In previous studies, we showed that blockade of the cation channel gated by NMDA glutamate receptors with ketamine or MK-801 massively stimulates NREM delta. We now test whether this NREM delta stimulation is physiological by comparing the EEG response following MK-801 to the EEG response following sleep deprivation (SD). Our previous studies measured only NREM 1-4 Hz EEG with period-amplitude analysis (PAA). Here we extended the analysis of MK-801 effects on sleep EEG by applying power spectral analysis (PSA) to examine delta and higher frequency spectra (.2-100 Hz) in NREM and by including REM and waking spectra. The changes in EEG spectra following MK-801 and SD were remarkably similar. Both SD and MK-801 produced their largest changes in NREM delta and REM 10-20 Hz power. There were some differences in the high frequency EEG, but the overall similarity of the PSA spectra in all three vigilance states after MK-801 and SD supports the possibility that MK-801 stimulated physiologic sleep, perhaps by increasing the need for homeostatic recovery from the metabolic effects of NMDA channel blockade.     

Changes in EEG activity and hypothalamic temperature as indices for non-REM sleep to REM sleep transitions

A shift of physiological regulations from a homeostatic to a non-homeostatic modality characterizes the passage from non-NREM sleep (NREMS) to REM sleep (REMS). In the rat, an EEG index which allows the automatic scoring of transitions from NREMS to REMS has been proposed: the NREMS to REMS transition indicator value, NIV [J.H. Benington et al., Sleep 17 (1994) 28-36]. However, such transitions are not always followed by a REMS episode, but are often followed by an awakening. In the present study, the relationship between changes in EEG activity and hypothalamic temperature (Thy), taken as an index of autonomic activity, was studied within a window consisting of the 60s which precedes a state change from a consolidated NREMS episode. Furthermore, the probability that a transition would lead to REMS or wake was analysed. The results showed that, within this time window, both a modified NIV (NIV(60)) and the difference between Thy at the limits of the window (Thy(D)) were related to the probability of REMS onset. Both the relationship between the indices and the probability of REMS onset was sigmoid, the latter of which saturated at a probability level around 50-60%. The efficacy for the prediction of successful transitions from NREMS to REMS found using Thy(D) as an index supports the view that such a transition is a dynamic process where the physiological risk to enter REMS is weighted at a central level.     

Reticulo-reticular relationship during sleep and waking.

The mode of interaction between so-called sleep-waking centers during different phases of consciousness was investigated in the cat. Averaged evoked responses were recorded from different centers to electrical stimulation of a center. The results showed that most sleep-waking centers are not simply engaged in the realization of a single phase, but operate during different phases in dynamic relationship with other centers. It was suggested that the mechanism of SS would be more diffusely distributed in the brain stem that presently conceived and that in contrast to the mechanism of PS, that of SS would have more extensive interaction with the mechanisms responsible to other phases.     

Structuring the inter-individual variation in waking EEG can help to discriminate between the objective markers of sleep debt and sleep pressure

Question of the study

Our aim was to assess the inter-individual link between the principal component structure of the waking EEG and the response of the parameters of sleep-wake regulation to sleep loss.

Subjects and methods

Resting EEG was recorded 9 times at 3-h intervals with eyes closed and open during the course of sustained wakefulness of 130 healthy subjects. The ipsatized power densities were calculated from the log-transformed absolute powers averaged across 10 frequency ranges (from slow delta to slow gamma). These spectra were further reduced by performing principal component analysis, which yielded the subjects’ scores on the largest principal components (PCs).

Results and conclusions

It was found that any EEG spectrum can be parsimoniously represented by only three scores on the PCs with eigenvalues greater or approximately equal to 1. These PCs remained virtually invariant in terms of the order of their extraction and loading patterns which signify EEG amplifying (1^st), EEG slowing (2^nd), and EEG smoothing (3^rd). In the course of wakefulness, the 1^st PC score was related to sleep debt (i.e., self-reported sleep restriction on the morning preceding the experiment), while the 2^nd PC score was associated with sleep pressure (i.e., sleepiness perceived during night sleep deprivation).     

蝶骨电极加剥夺睡眠脑电图对癫癎的诊断

目的：探讨蝶骨电极加剥夺睡眠脑电图（ＥＥＧ） 对癫癎诊断的价值。方法：对１１０ 例癫癎患者进行常规电极和蝶骨电极描记,如无癎样放电,再作蝶骨电极加过度换气和蝶骨电极加剥夺睡眠,并与常规电极作比较。结果：常规电极癎样放电检出率为３８－１ ％ ,单纯蝶骨电极,蝶骨电极加过度换气和蝶骨电极加剥夺睡眠癎样放电检出率比常规电极分别提高１１ ％ （χ２ ＝ ２ ．６ ,Ｐ＞ ０－０５） ,１９－２ ％ （χ２ ＝８ ．１１ ,Ｐ＜ ０－０１） 和３４－２ ％ （χ２ ＝ １７ ．２２ ,Ｐ＜ ０－０１） 。结论：在上述几种方法中,以蝶骨电极加剥夺睡眠癎样放电检出率最高,故对癫癎诊断的价值最大。     

Unilateral vibrissae stimulation during waking induces interhemispheric EEG asymmetry during subsequent sleep in the rat

To test the theory that sleep is a regional, use-dependent process, rats were subjected to unilateral sensory stimulation during waking. This was achieved by cutting the whiskers on one side, in order to reduce the sensory input to the contralateral cortex. The animals were kept awake for 6 h in an enriched environment to activate the cortex contralateral to the intact side. Whiskers are known to be represented in the barrel field of the contralateral somatosensory cortex and their stimulation during exploratory behavior results in a specific activation of the projection area. In the 6 h recovery period following sleep deprivation, spectral power of the nonrapid eye-movement (NREM) sleep EEG in the 0.75-6.0 Hz range exhibited an interhemispheric shift towards the cortex that was contralateral to the intact whiskers. The results support the theory that sleep has a regional, use-dependent facet.     

EEG arousals in normal sleep: variations induced by total and selective slow-wave sleep deprivation

STUDY OBJECTIVES: Aim of the present study was to assess changes in arousal rates after selective slow-wave (SWS) and total sleep deprivations. DESIGN: Two-way mixed design comparing the arousal index (Al), as expressed by the number of EEG arousals divided by sleep duration, in totally or selectively sleep deprived subjects. SETTING: Sleep laboratory. PATIENTS OR PARTICIPANTS: Nineteen normal male subjects [mean age=23.3 years (S.E.M.=0.55)]. INTERVENTIONS: Al was measured in baseline nights and after selective SWS (N=10) and total sleep deprivation (N=9). MEASUREMENTS AND RESULTS: During the baseline nights AI values changed across sleep stages as follows: stage 1 > stage 2 and REM > SWS, but did not present any significant variations as a function of time elapsed from sleep onset. The recovery after deprivation showed a reduction in EEG arousals, more pronounced after total sleep deprivation; this decrease affected NREM but not REM sleep. During the baseline nights Al showed a close-to-significance negative correlation with REM duration, while during the recovery nights a significant positive relation with stage 1 duration was found. CONCLUSIONS: The present results suggest that recuperative processes after sleep deprivation are also associated with a higher sleep continuity as defined by the reduction of EEG arousals.     

Changes in direct current potentials during sleep deprivation

Previous research reported changes in steady-state brain electrical activity during sleep. However, due to the quasi-linear nature of the Direct Current (DC) changes, artifact contamination was a potential confound. The present study was performed to further explore DC potentials and to help establish its validity. Twenty-five male university students (13 control and 12 sleep-deprived; mean age 19 y (range 17–27 y) served as subjects. During wakefulness, subjects were tested every hour while standard EEG activity recordings were made, as well as DC measurement. Split plot analyses of variance (ANOVAs) revealed that changes in DC activity levels differed between the two groups. The control subjects showed the same pattern of decreasing DC observed previously with a return to baseline levels during waking hours. The sleep-deprived subjects showed a smaller decrease in DC level through the night, followed by a rise in DC level that continued until the end of the 24 h study. It was concluded that DC measurement reflects changes in brain state associated with fatigue that are not attributable to artifactual processes.     

Sleep and EEG spectra in the rabbit under baseline conditions and following sleep deprivation

The 24-hr sleep-wake distribution and power spectra of the electroencephalogram were determined in rabbits that had been implanted with cortical and hippocampal electrodes. A diurnal preference for sleep was observed. The spectral power density in nonrapid eye movement sleep (NREM sleep) of the cortex showed a decreasing trend in most frequencies within the 12-hr light period. In the 12-hr dim period no clear trend was present. Most hippocampal EEG frequencies decreased in NREM sleep in the first two hours of the light period, and thereafter stayed on a constant level. Sleep deprivation elicited the following changes: a prolonged increase of NREM sleep and a short increase of REM sleep; in the cortex, an increase of slow-wave activity (SWA; power density in the 0.25-2.0 Hz frequency band) in NREM sleep, which declined in the course of recovery; an enhancement of slow-wave (1.25-3 Hz) and theta (6.25-7 Hz) activity in REM sleep. The hippocampus showed an increase in NREM sleep power density in almost all frequencies. In REM sleep the hippocampus exhibited an increase in power density in the 6.25-7 Hz and 12.25-13 Hz bands, whereas in the 7.25-8 Hz band the values were below baseline. The results show that SWA in NREM sleep and theta activity in REM sleep are enhanced by sleep deprivation, as has been observed in other mammalian species. The EEG changes in the hippocampus resembled those in the cortex.