The increase in longitudinally measured sleepiness across adolescence is related to the maturational decline in low-frequency EEG power

OBJECTIVES: A changing sleep schedule that reduces sleep duration is thought to produce the increasing daytime sleepiness of adolescents. We tested the hypothesis that adolescent daytime sleepiness also results from adolescent brain maturational processes indexed by declining delta electroencephalographic (EEG) activity. DESIGN: Data are from the first 3 years of a semilongitudinal study of EEG changes in adolescence. All-night EEG was recorded semiannually. SETTING: EEG was recorded with ambulatory recorders in the subjects' homes. PARTICIPANTS: Thirty-one subjects were 9 years old (cohort C9), and 38 subjects were 12 years old (cohort C12) at the start of the study. MEASUREMENTS: EEG power density (power/minute) was calculated for the first 5 hours of non-rapid eye movement sleep. Subjects rated sleepiness on a modified Epworth Sleepiness Scale. Habitual sleep schedules were assessed with self-reports and actigraphy. RESULTS: In C9 subjects, sleepiness increased slightly and was related only to age. In C12 subjects, the increase in subjective sleepiness was related to changes in age, bedtime, time in bed, and a wide frequency range of EEG power density. Sleepiness was not related to rise time, non-rapid eye movement sleep duration, rapid eye movement sleep duration, or total sleep time. With sleep schedule measures statistically controlled, the increase in sleepiness in the C12 group was strongly related to declining delta power density and, unexpectedly, even more strongly related to declining theta power density. CONCLUSIONS: The data support our hypothesis that, independent of sleep schedule changes, increasing adolescent daytime sleepiness is related to brain maturational changes indexed by declining EEG power. Our working hypothesis is that the declines in delta and theta power are correlates of an adolescent synaptic pruning that reduces waking arousal levels.     

Does Subjective Sleepiness Predict Objective Sleep Propensity?

Study Objectives:

Research has shown variability in the correlations observed between subjective sleepiness and objective polysomnographic sleep latency. The present study evaluated whether eliciting subjective judgments of sleepiness after a 1-minute period of quiet with eyes closed would strengthen the relationship between subjective and objective measures.

Design:

Subjective judgments of sleepiness were collected following three 1-minute conditions (eyes-closed, eyes-open fixed gaze, and visual reaction time task) using the Stanford Sleepiness Scale and a visual analogue scale, prior to a measure of polysomnographic sleep latency. For each participant, subjective and objective measures were obtained a total of 12 times half-hourly from 20:00 to 01:30.

Setting:

Sleep laboratory of the Flinders University.

Participants:

Participants were 12 young adult good sleepers.

Results:

Within-subjects correlations between subjective and objective sleepiness across an evening period of increasing sleepiness were generally high (means approximately −0.63) and significant (P < 0.05). Contrary to expectation, there were no differences in correlations among the 3 conditions. Unexpectedly, when the correlations were calculated across subjects, correlations were noticeably weaker (means around −0.42), whereas the correlation means calculated across subjects, controlling for clock time, were close to 0.

Conclusions:

In controlled laboratory conditions, high correlations between subjective and objective measures of sleepiness within subjects were found across a large range of sleepiness (20:00 to 01:30) for all conditions. Calculating correlations within subjects and across a range of the circadian variation in sleepiness contributed substantially to the strength of the relationship found. These results suggest that the variability of prior research findings may be due, at least partly, to the way in which correlations were derived.

Citation:

Short M; Lack L; Wright H. Does subjective sleepiness predict objective sleep propensity? SLEEP 2010;33(1):123-129.     

Effects of moderate sleep deprivation and low-dose alcohol on driving simulator performance and perception in young men

STUDY OBJECTIVE: To determine the combined effects of sleep restriction and low-dose alcohol on driving simulator performance, EEG, and subjective levels of sleepiness and performance in the mid-afternoon. DESIGN: Repeated measures with 4 experimental conditions. Normal sleep without alcohol, sleep restriction alone (4 hours) and sleep restriction in combination with 2 different low blood alcohol concentrations (0.025 g/dL and 0.035 g/dL). SETTING: Sleep Laboratory, Adelaide Institute for Sleep Health. PARTICIPANTS: Twenty-one healthy young men, aged 18-30 years, mean (+/-SD) = 22.5(+/-3.7) years, BMI = 25(+/-6.7) kg/m2; all had normal sleep patterns and were free of sleep disorders. MEASUREMENTS: Participants completed a 70-minute simulated driving session, commencing at 14:00. Driving parameters included steering deviation, braking reaction time, and number of collisions. Alpha and theta EEG activity and subjective driving performance and sleepiness were also measured throughout the driving task. RESULTS: All measures were significantly affected by time. Steering deviation increased significantly when sleep restriction was combined with the higher dose alcohol. This combination also resulted in a significant increase in alpha/theta EEG activity throughout the drive, as well as greater subjective sleepiness and negative driving performance ratings compared to control or sleep restriction alone. DISCUSSION: These data indicate that combining low-dose alcohol with moderate sleep restriction results in significant decrements to subjective alertness and performance as well as to some driving performance and EEG parameters. This highlights the potential risks of driving after consumption of low and legal doses of alcohol when also sleep restricted.     

Relation between resting EEG to cognitive performance and clinical symptoms in adults with attention-deficit/hyperactivity disorder

Attention-deficit/hyperactivity disorder (ADHD) in children is characterized by elevated levels of slow wave activity and reduced fast wave activity in resting-state electroencephalogram (EEG). In adults with ADHD, resting-state EEG findings are scarce and inconsistent. The present study examined whether the disparate findings are due EEG recording conditions (i.e., eyes-open vs. eyes-closed). A second goal of the current study was to assess relations between EEG spectral indices to performance measures obtained using a stop-signal task, and to behavioral ADHD symptoms. The present study included 24 adults with ADHD and 24 control adults. The EEG results showed a greater reduction in alpha power from eyes-closed to eyes-open (i.e., alpha attenuation) in ADHD compared to controls. In addition, theta/beta ratio was negatively correlated to the speed of responding to choice stimuli. These findings were interpreted vis-à-vis a biophysical model assuming that the hypo-arousal in ADHD is due to an overdrive of the nucleus coeruleus resulting in inhibitory activity of the thalamic reticular nucleus.     

Temporal profile of prolonged, night-time driving performance: breaks from driving temporarily reduce time-on-task fatigue but not sleepiness

Breaks are often used by drivers to counteract sleepiness and time-on-task fatigue during prolonged driving. We examined the temporal profile of changes in driving performance, electroencephalogram (EEG) activity and subjective measures of sleepiness and fatigue during prolonged nocturnal driving in a car simulator. In addition, the study examined the impact of regular breaks from driving on performance, sleepiness and fatigue. Healthy volunteers (n=12, 23-45 years) maintained a regular sleep-wake pattern for 14 days and were then in a laboratory from 21:00 to 08:30 hours. The driving simulator scene was designed to simulate monotonous night-time rural driving. Participants drove 4 × 2-h test sessions, with a break from driving of 1 h between each session. During the break participants performed tests assessing sleepiness and fatigue, and psychomotor performance (~30 mins), and then were permitted to sit quietly. They were monitored for wakefulness, and not permitted to nap or ingest caffeine. EEG was recorded during the driving task, and subjective assessments of sleepiness and fatigue were obtained at the start and completion of each session. We found that driving performance deteriorated (2.5-fold), EEG delta, theta and alpha activity increased, and subjective sleepiness and fatigue ratings increased across the testing period. Driving performance and fatigue ratings improved following the scheduled breaks from driving, while the breaks did not affect EEG activity and subjective sleepiness. Time-on-task effects increased through the testing period, indicating that these effects are exacerbated by increasing sleepiness. Breaks from driving without sleep temporarily ameliorate time-on-task fatigue, but provide little benefit to the sleepy driver.     

CNS arousal and neurobehavioral performance in a short-term sleep restriction paradigm

Few studies have investigated waking electrophysiological measures of arousal during sleep restriction. This study examined electroencephalogram (EEG) activity and performance during a 96-hour laboratory protocol where participants slept a baseline night (8 h), were randomly assigned to 3-, 5-, or 8-hour sleep groups for the next two nights sleep restriction (SR1, SR2), and then slept a recovery night (8 h). There were dose-dependent deficits on measures of mood, sleepiness, and reaction time that were apparent during this short-term bout of sleep restriction. The ratio of alpha to theta EEG recorded at rest indicated dose-dependent changes in CNS arousal. At 9:00 hours, both the 3- and 5-hour groups showed EEG slowing (sleepiness) during restriction, with the 3-hour group exhibiting greater deficits. Later in the day at 13:00 hours, the 5-hour group no longer exhibited EEG slowing, but the extent of slowing was more widespread across the scalp for the 3-hour group. High-frequency EEG, a measure of effort, was greater on the mornings following sleep restriction. The 5-hour group had increased beta EEG at central-parietal sites following both nights of restriction, whereas the 3-hour group had increased beta and gamma EEG at occipital regions following the first night only. Short-term sleep restriction leads to deficits in performance as well as EEG slowing that correspond to the amount and duration of sleep loss. High-frequency EEG may be a marker of effort or compensation.     

Biological Rhythms in Arousal Indices: A Potential Confounding Effect in EEG Biofeedback

Several investigators have observed ultradian rhythmicities in physiological indices of arousal. Although EEG biofeedback has been widely explored as a means of auto-regulating cortical arousal, alpha or theta enhancement has not yet been convincingly demonstrated in comparison to continuous baseline controls for the possible effect of endogenous cyclical arousal trends. Diurnal EEG and subjectively appraised arousal measures were recorded from 11 subjects on a 5-min recording, 5-min recovery schedule, continuously over 7 1/2 hrs. Subjects returned to the laboratory for an equal amount of recording during which they attempted to either raise or lower the frequency of their EEG with the aid of biofeedback. Significant ultradian rhythmicity centered at about 200 min/cycle was observed in EEG measures and in subjectively appraised arousal. Although eyes-open frequency-raising and frequency-lowering biofeedback training was efficacious in comparison to long-day baselines, eyes-closed frequency-lowering training was not, lending support to other studies which have failed to achieve overall eyes-closed alpha or theta enhancement even with many hours of training. Because the observed ultradian and circadian EEG rhythmicities could be spuriously interpreted as learning curves under a biofeedback paradigm, it is argued that future designs should incorporate continuous baseline controls.     

Recuperative power of a short daytime nap with or without stage 2 sleep

STUDY OBJECTIVES: The recuperative effect of a nap of less than 30 minutes has been confirmed. Such naps consist mainly of stages 1 and 2 sleep. The present study examined whether sleep stage 1 or 2 contributed to the recuperative effect of a short nap. DESIGN: Repeated-measurement within-subject design. After sleep was restricted to 1.5 hours less than their usual nocturnal sleep, participants took a rest (No-nap condition) or a nap at 2:00 PM. In the nap condition, they were awakened after 5 minutes of stage 1 sleep (S1-nap condition) or 3 minutes after stage 2 sleep appeared (S2-nap condition). SETTING: University sleep laboratory. PARTICIPANTS: Ten healthy university students (aged 19 to 24 years). MEASUREMENTS: Subjective mood, performance on visual detection and symbol-digit substitution tasks, and the number of slow eye movements during a performance task were measured before and after the nap or rest. RESULTS: In the No-nap condition, subjective mood and performance deteriorated, and Slow eye movements increased during mid-afternoon, suggesting that the post-lunch dip occurred. In contrast, subjective alertness and performance improved and slow eye movements rarely occurred in the S2-nap condition. Although subjective sleepiness and fatigue improved, performance deteriorated and slow eye movements increased in the S1-nap condition. CONCLUSION: A daytime short nap containing 3 minutes of stage 2 sleep has recuperative effects, whereas these effects are limited following only stage 1 sleep.     

Daytime sleepiness during Ramadan intermittent fasting: polysomnographic and quantitative waking EEG study

During the lunar month of Ramadan, Muslims abstain from eating, drinking and smoking from sunrise to sunset. We reported previously that Ramadan provokes a shortening in nocturnal total sleep time by 40 min, an increase in sleep latency, and a decrease in slow-wave sleep (SWS) and rapid eye movement (REM) sleep duration during Ramadan. During the same study, the effects of Ramadan intermittent fasting on daytime sleepiness were also investigated in eight healthy young male subjects using a quantitative waking electroencephalograph (EEG) analysis following the multiple sleep latency test (MSLT) procedure. This procedure was combined with subjective alertness and mood ratings and was conducted during four successive experimental sessions: (1) baseline (BL) 15 days before Ramadan, (2) beginning of Ramadan (R11) on the 11th day of Ramadan, (3) end of Ramadan (R25) on the 25th day of Ramadan, (4) recovery 2 weeks after Ramadan (AR). During each session, four 20-min nap opportunities (MSLTs) were given at 10:00, 12:00, 14:00 and 16:00 h and were preceded by rectal temperature readings. Nocturnal sleep was recorded before each daytime session. Subjective daytime alertness did not change in R25 but decreased in R11 at 12:00 h, and subjective mood decreased at 16:00 h, both in R11 and R25. During the MSLT, mean sleep latency decreased by an average of 2 min in R11 (especially at 10:00 and 16:00 h) and 6 min in R25 (especially at 10:00 and 12:00 h) compared with BL. There was an increase in the daily mean of waking EEG absolute power in the theta (5.5-8.5 Hz) frequency band. Significant correlations were found between sleep latency during the MSLT and the waking EEG absolute power of the fast alpha (10.5-12.5 Hz), sigma (11.5-15.5 Hz) and beta (12.5-30 Hz) frequency bands. Sleep latency was also related to rectal temperature. In conclusion, Ramadan diurnal fasting induced an increase in subjective and objective daytime sleepiness associated with changes in diurnal rectal temperature.     

Circadian and homeostatic modulation of sleep in older adults during a 90-minute day study

STUDY OBJECTIVES: To identify age-associated changes in circadian and homeostatic characteristics of sleep in healthy elderly and young adults using electroencephalogram (EEG) power spectral analysis during a 90-minute sleep-wake schedule. DESIGN: Controlled clinical experiment. SETTING: University sleep laboratory. PARTICIPANTS: 16 older (77 +/- 5 years) and 19 younger adults (23 +/- 3 years). INTERVENTIONS: Subjects followed a 90-minute sleep-wake schedule (30 minutes in bed, 60 minutes awake) for 60 hours. Sleep was recorded for each bed-rest episode, and core body temperature was continuously recorded. The EEG power density was determined for non-rapid eye movement sleep in each bed-rest episode. Power density data were analyzed with mixed-effects models to assess rhythmic and linear components. RESULTS: Younger subjects had greater power in delta, theta, and sigma power bands across the study interval. Significant circadian rhythms were observed in delta, sigma, and beta power bands. Age-related differences in circadian modulation of EEG activity, indicated by significant interaction terms, were present in alpha and beta bands. A significant linear component was present in delta and theta power bands, with no significant age-interaction effect. CONCLUSIONS: Despite overall differences in the level of EEG power, older and younger adults exhibited similar rhythmic and linear patterns in most frequency bands. Age appears to affect circadian rhythmicity in higher EEG frequencies and homeostatic drive in lower EEG frequencies.     

Event-related activity and phase locking during a psychomotor vigilance task over the course of sleep deprivation

There is profound knowledge that sleep restriction increases tonic (event‐unrelated) electroencephalographic (EEG) activity. In the present study we focused on time‐locked activity by means of phasic (event‐related) EEG analysis during a psychomotor vigilance task (PVT) over the course of sleep deprivation. Twenty healthy subjects (10 male; mean age ± SD: 23.45 ± 1.97 years) underwent sleep deprivation for 24 h. Subjects had to rate their sleepiness hourly (Karolinska Sleepiness Scale) and to perform a PVT while EEG was recorded simultaneously. Tonic EEG changes in the δ (1–4 Hz), θ (4–8 Hz) and α (8–12 Hz) frequency range were investigated by power spectral analyses. Single‐trial (phase‐locking index, PLI) and event‐related potential (ERP) analyses (P1, N1) were used to examine event‐related changes in EEG activity. Subjective sleepiness, PVT reaction times and tonic EEG activity (delta and theta spectral power) significantly increased over the night. In contrast, event‐related EEG parameters decreased throughout sleep deprivation. Specifically, the ERP component P1 diminished in amplitude, and delta and theta PLI estimates decreased progressively over the night. It is suggested that event‐related EEG measures (such as the amplitude of the P1 and especially delta/theta phase‐locking) serve as a complimentary method to track the deterioration of attention and performance during sleep loss. As these measures actually reflect the impaired response to specific events rather than tonic changes during sleep deprivation they are a promising tool for future sleep research.     

Subjective and objective measures of adaptation and readaptation to night work on an oil rig in the North Sea

STUDY OBJECTIVES: To study the adaptation and readaptation processes to 1 week of night work (6:30 PM to 6:30 AM) followed by 1 week of day work (6:30 AM to 6:30 PM). DESIGN: Part of a randomized, placebo-controlled, crossover field study. Here, data from the placebo arm are presented. SETTING: Oil rig in the North Sea. Work schedule: 2 weeks on a 12-hour shift, with the first week on the night shift and the second week on the day shift. PARTICIPANTS: Subjects complaining about problems with adjusting to shift work. Seventeen workers completed the study. INTERVENTIONS: N/A. MEASUREMENTS: Subjective and objective measures of sleepiness (Karolinska Sleepiness Scale and simple serial reaction time test) and sleep (diary and actigraphy). RESULTS: Both subjective and objective measures improved gradually during night work. The return to day work after 1 week on the night shift led to a clear increase in subjective sleepiness and worsening of sleep parameters. During the week on the day shift, sleepiness and sleep gradually improved, similar to the improvement seen during night work. The workers indicated that the day shift was worse than the night shift on some of the measures, e.g., sleep length was significantly longer during the night-shift period. CONCLUSIONS: This is one of few studies showing how shift workers in a real-life setting adjust to night work. Both subjective and objective sleepiness and subjective sleep improved across days. The effects were especially pronounced for the subjective data.     

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.     

Waking quantitative electroencephalogram and auditory event-related potentials following experimentally induced sleep fragmentation

STUDY OBJECTIVES: Experimental sleep fragmentation involves inducing arousals by administering intrusive auditory stimuli throughout the night. It is intended to model the frequent and periodic disruption experienced in common sleep disorders. Sleep fragmentation leads to daytime sleepiness, although evidence of performance impairment has been inconsistent. The purpose of this study was to investigate brain physiology associated with this level of sleep disruption. Specifically, quantitative analysis of electroencephalography was carried out, and auditory event-related potentials were recorded during daytime performance assessment following sleep fragmentation in good sleepers. DESIGN: Participants spent 4 consecutive 24-hour periods in the laboratory. On nights 2 and 3, sleep was fragmented using auditory stimuli that were delivered with increasing intensity until an arousal was noted. This design aimed to investigate the cumulative effects of sleep fragmentation on daytime functioning. SETTING: Data were collected in a sleep research laboratory during a 96-hour protocol. PARTICIPANTS: Eight healthy adults (mean age = 33.25) with no sleep complaints. MEASUREMENTS AND RESULTS: During the day, participants performed a 40-minute computerized test battery at 2-hour intervals (9:00 am -7:00 pm). The battery was presented in a fixed order and included measures of mood, sleepiness, reaction time, and serial addition or subtraction. Results indicated that subjective sleepiness and mood were impaired following sleep-fragmentation nights, compared to both baseline and recovery conditions. No performance deficits were apparent. The alpha:theta ratio, reflecting relative slowing of the electroencephalogram, was dramatically reduced following the second night of sleep fragmentation. Reductions in N1 amplitude of the event-related potentials indicated that attention was impaired with respect to early encoding processes following sleep fragmentation. CONCLUSIONS: Electroencephalographic and event-related potentials data illustrate impairment in information-processing capabilities associated with reduced arousal elicited by experimental sleep fragmentation. This subtle degree of sleep disruption, where total sleep time is not reduced, leads to sustained impairment in alertness and attention.     

The effect of donepezil on sleep and REM sleep EEG in patients with Alzheimer disease: a double-blind placebo-controlled study

STUDY OBJECTIVE: Examine the effects of donepezil on sleep and rapid eye movement (REM) sleep electroencephalogram (EEG) in patients with Alzheimer disease, using polysomnography, and the correlation between REM sleep EEG parameters and cognitive scores. DESIGN: Randomized, double-blind, placebo-controlled design. SETTINGS: Two sleep research centers, University Hospital. PARTICIPANTS: Thirty-five patients with mild to moderate Alzheimer disease, allocated to 2 groups: donepezil treated (n=17) and placebo treated (n=18). INTERVENTION: Patients were administered donepezil or placebo. OUTCOME MEASURES: Polysomnography with REM sleep EEG spectral analysis and cognitive evaluation using the Alzheimer Disease Assessment Scale, cognitive subscale, were performed at baseline and after 3 and 6 months. Slowing ratio was the ratio between slow and fast EEG frequency bands. Cognitive and sleep data were analyzed using analysis of variance. Correlations between cognitive improvement and REM sleep EEG were also calculated. RESULTS: REM sleep increased significantly after 3 and 6 months of donepezil treatment compared with baseline and placebo (p < .01). Overall theta (p = .04), frontal theta (p < .01) and frontal delta (p = .03) absolute power during REM sleep decreased after 6 months of donepezil treatment. The occipital slowing ratio decreased during treatment (p = .04). REM sleep overall and frontal and centroparietal alpha absolute power significantly correlated with the cognitive improvement rate on the Alzheimer Disease Assessment Scale, cognitive subscale (r = 0.75, r = 0.71, r = 0.78); p < .01). CONCLUSIONS: Donepezil treatment enhanced REM sleep and reduced slow frequencies of REM sleep EEG, suggesting a possible action upon REM sleep-related cholinergic neurons in patients with Alzheimer disease. Furthermore, REM sleep alpha power may predict the cognitive response to donepezil.     

Daytime exposure to bright light, as compared to dim light, decreases sleepiness and improves psychomotor vigilance performance

STUDY OBJECTIVES: This study examined the effects of bright light exposure, as compared to dim light, on daytime subjective sleepiness, incidences of slow eye movements (SEMs), and psychomotor vigilance task (PVT) performance following 2 nights of sleep restriction. DESIGN: The study had a mixed factorial design with 2 independent variables: light condition (bright light, 1,000 lux; dim light, < 5 lux) and time of day. The dependent variables were subjective sleepiness, PVT performance, incidences of SEMs, and salivary melatonin levels. SETTING: Sleep research laboratory at Monash University. PARTICIPANTS: Sixteen healthy adults (10 women and 6 men) aged 18 to 35 years (mean age 25 years, 3 months). INTERVENTIONS: Following 2 nights of sleep restriction (5 hours each night), participants were exposed to modified constant routine conditions. Eight participants were exposed to bright light from noon until 5:00 pm. Outside the bright light exposure period (9:00 am to noon, 5:00 pm to 9:00 pm) light levels were maintained at less than 5 lux. A second group of 8 participants served as controls for the bright light exposure and were exposed to dim light throughout the entire protocol. MEASUREMENTS AND RESULTS: Bright light exposure reduced subjective sleepiness, decreased SEMs, and improved PVT performance compared to dim light. Bright lights had no effect on salivary melatonin. A significant positive correlation between PVT reaction times and subjective sleepiness was observed for both groups. Changes in SEMs did not correlate significantly with either subjective sleepiness or PVT performance. CONCLUSIONS: Daytime bright light exposure can reduce the impact of sleep loss on sleepiness levels and performance, as compared to dim light. These effects appear to be mediated by mechanisms that are separate from melatonin suppression. The results may assist in the development of treatments for daytime sleepiness.     

Subcortical waking and sleep during lateral hypothalamic “somnolence” in rats

Following extensive bilateral lateral hypothalamic damage, rats appear “somnolent.” Cortical EEG shows persistent high voltage delta, reinforcing the impression of sleep. Preoperatively and postoperatively, we simultaneously measured cortical and subcortical (hippocampal and pontine) EEG, muscular events (neck muscle EMG and eye movement EOG), and behavior, which, as aggregates, differentially define quiet sleep, active sleep, and waking. Postoperatively, though cortical activity was persistently slow, subcortical EEG, muscular events, and behavior, as aggregates, revealed quiet sleep, active sleep, and waking, organized subcortically, intact and alternating, but disconnected from the persistent slow cortical activity. For example, preoperatively, active sleep included cortical low voltage fast activity, hippocampal theta, episodic pontine spike bursts, flat EMG, and rapid eye movements, without any organized behavior. Postoperatively, the same aggregate of subcortical and muscular events indicated the presence of active sleep. Similarly so, for subcortically organized quiet sleep and spontaneous waking. Such waking, termed “drowsy-wakefulness,” is a low-arousal form, perhaps related to drowsiness in other species, and to human hypersomnia.     

Effects of 20-min audio-visual stimulation (AVS) at dominant alpha frequency and twice dominant alpha frequency on the cortical EEG.

The effects of audio-visual stimulation at the dominant alpha frequency and twice dominant alpha frequency on the EEG were investigated. An eyes-closed baseline EEG determined each subject's dominant alpha frequency. Subjects were stimulated at their dominant alpha frequency and at twice dominant alpha frequency for 20 min on two occasions. A 30-min post-session eyes-closed EEG was recorded after each session. Power data were analyzed for 19 locations in six bandpasses using repeated-measures ANOVAs and appropriate post-hoc tests. Alpha stimulation significantly increased power over baseline levels in the delta 1, delta 2, theta, beta 1 and beta 2, with significant effects remaining 30 min later in beta 1. Twice alpha stimulation significantly increased theta, beta 1 and beta 2 power over baseline levels, with significant effects remaining 30 min later in theta, alpha, beta 1 and beta 2.     

Eye Movements and the Detection of Sleep Onset

The convergence of behavioral, EEG, and respiratory measures has been shown to increase the accurate detection of sleep onset (SO) (Ogilvie, 1985; Ogilvie & Wilkinson, 1984). The present investigation used a behavioral response (BR) measure and standard EEG indices to examine slow eye movement (SEM) activity during the transition from wakefulness to sleep. Several methods of scoring and assessing slow eye movements were employed in order to determine their usefulness as an index in the detection of sleep onset. Correlations between SEM activity and behavioral and EEG sleep stages were low to moderate. In multiple regression analyses, slow eye movements were shown to be a fairly stable but less powerful predictor of sleep onset than either behavioral or EEG measures. The data confirmed earlier observations linking the appearance of slow rolling eye movements with drowsiness and the disappearance of them with the beginning of behaviorally defined sleep. In most people this pattern is consistent enough to be useful in studying sleep onset. The applicability of this measure as a co-indicator of sleep onset was discussed.     

不同行为状态下大鼠脑电时频变化特性的直方图分析

结合应用多分辨率小波分解方法和直方图参数统计方法 ,分析大鼠脑电信号 (Electroencephalogram,EEG)在不同行为状态下的非稳态时频动态变化特性。利用埋植电极记录自由活动大鼠在清醒期、慢波睡眠期和快动眼睡眠期的皮层 EEG,应用小波变换将 EEG分解成 δ、θ、α和 β四个分量 ,求各分量功率对数值直方图和功率百分比值直方图的均值、方差、偏斜度和峭度。结果表明 :EEG功率对数值的分布比较接近正态分布 ,而多数功率百分比值的分布与正态分布差别显著。单因素方差分析结果显示这些直方图统计参数在不同行为状态之间和不同分解分量之间具有显著差别。 EEG在不同时期的某些特征波 (例如 :慢波睡眠期的 δ波、清醒期和快动眼睡眠期的 θ波等 )使功率对数值分布具有较大的偏斜度值和峭度值。由此可见 ,EEG小波分解分量的直方图参数是一种新的描述EEG动态时频变化特性的定量分析指标