REM Sleep Interruption: Experimental Shortening of REM Period Duration

This experiment concerns itself with the extent to which psychological factors can influence normal sleep patterns. After 4 baseline nights of uninterrupted sleep, each of 4 Ss was awakened in the course of 2 nights during every REM period about 10 min following each REM onset. Ss, however, were not REM deprived. The interruption nights were followed by a recovery night of uninterrupted sleep. All nights were consecutive. The results show that during recovery nights all Ss continued to have significantly shorter than normal REM periods by going into NREM sleep at about the time they would have been awakened during the interruption nights. These shortened REM periods occurred even during early morning hours, when REM periods normally become longer. Arguments are advanced that this finding may best be explained in terms of a conditioned avoidance response.     

Variability of Sleep Measures in Normal Subjects

Variability of sleep measures during 4 nights was examined in 10 normal young adults. The variables analyzed included: Sleep Stage Percentages; Sleep Time; Latency, Duration, and Cycle Time of REM; No. of REM Periods; and No. of Eye Movements (EM). No indication of First Night Effect was found, except that EM showed significant increases across nights. Although group means corresponded to conventional norms, considerable inter- and intraindividual variability was apparent, with Stage 2 and REM yielding lowest Variability Coefficients. Between nights, consistent positive correlations were found for Awake, REM, REM Latency, and particularly for Stage 4 and EM. Consistency of the relationship between nights for the sleep stages was not generally improved by equating sleep time either within or between Ss. Few intercorrelations between variables were significant. Within nights the first REM Duration was the shortest and the first Non-REM Duration the longest, while neither REM nor Non-REM Cycle Time changed significantly. In 25% of the records, Stage 3 terminated before Stage 4. Variability was discussed in terms of procedural aspects, trait characteristics, and situational factors.     

Interaction of REM Deprivation and Stage 4 Deprivation With Total Sleep Loss: Experiment 2

To determine whether prior deprivation of stage REM or stage 4 sleep would potentiate the effects of total sleep loss, 7 young adult males were denied REM sleep and 7 were denied stage 4 sleep for 3 nights before 1 night of total sleep loss. Measures of autonomic and EEG activity, mood, anxiety, Rorschach CET and on several performance tasks were obtained during baseline, following stage deprivation, total sleep loss, and during recovery. There were no marked changes in any area following 3 nights of stage REM and stage 4 deprivation. The changes following total sleep loss were similar for both groups. Prior deprivation of stage REM or stage 4 did not potentiate sleep loss effects. Ss who had no stage deprivation prior to 1 night of sleep loss had more impairment following sleep loss than did the Ss of this study.     

SLEEP MENTATION AND AUDITORY AWAKENING THRESHOLDS

Auditory awakening thresholds (AATs) were assessed in 53 Ss during all stages of sleep and at various times of night. Sixteen of these Ss met previously devised criteria for an AAT light-sleep group (LSG) and 16 for an AAT deep-sleep group (DSG). Reports of mental activity were collected during awakenings from REM and NREM sleep and rated on a standard questionnaire by Ss and independent judges. The REM mentation of the LSG and DSG did not differ. However, LSG Ss reported dreaming after 71% of their NREM awakenings, while DSG Ss claimed to have been dreaming after only 21% of their NREM awakenings. This difference was supported by other rating scales and by the independent judges. An hypothesis was offered which suggests that dreaming is a function of the level of cerebral arousal in the absence of reality contact, regardless of the stage of sleep, and that LSG Ss, as evidenced by several criteria, were more cerebrally aroused during NREM sleep than DSG Ss.     

The Recuperative Effects of REM Sleep and Stage 4 Sleep on Human Performance After Complete Sleep Loss: Experiment 1

Twelve young (17–21 yrs) male Navy recruits volunteered for a sleep loss study. After 4 baseline days, the Ss were completely deprived of sleep for 2 days and nights. Next followed an experimental phase of 2 days and nights after which all Ss received 2 nights of uninterrupted sleep. During the experimental phase, the 4 Ss in the REM-deprived group were aroused whenever they showed signs of REM sleep. The 4 Ss of the stage 4-deprived group were aroused whenever they showed signs of entering stage 4 sleep, and the 4 Ss of the Control group had uninterrupted sleep. All tests (speed and accuracy of addition, speed and accuracy of self-paced vigilance, errors of omission in experimenter paced vigilance, immediate recall of word lists, and mood) showed significant impairment after the first night of complete sleep loss. But during the experimental (sleep-stage-deprivation) and recovery phases, all three groups showed equal rates of recovery. Depriving the S of stage REM or stage 4 during recovery sleep does not affect the recuperation rate. Frequent arousals (50–100 per night) also do not impair recovery. The amount of sleep is probably more important than the kind of sleep.     

Facial Muscle Tonus During REM and NREM Sleep

Equipment and procedures were devised for quantifying relatively noise-free recordings of low amplitude chin and lip electromyograms (EMGs) during sleep. A total of 28 REM periods were recorded from 5 young adult female Ss. Tonic EMG levels tended to decline toward their lowest level of the night beginning 5 min in advance of REM periods. With very rare exceptions, the lowest EMG levels of the night were maintained throughout REM sleep. During the 20 min of NREM sleep which followed REM periods, mean EMG levels increased over the REM levels but were lower than those recorded during the 20 min of NREM sleep which preceded the REM periods. This pattern of tonic EMG variation obtained for each of the first 3 REM periods of the night.     

Body Movements During Sleep After Sleep Loss

Following 4 baseline nights, 7 Ss were deprived of REM sleep for 3 nights and 7 were deprived of stage 4 sleep. Both groups were then deprived of total sleep for 1 night and then allowed 2 nights of uninterrupted recovery sleep. Compared to baseline nights, on the first recovery night the number of body movements was significantly reduced in all sleep stages and for total sleep. On the second recovery night, the number of movements was back to baseline level. The increased amount of slow-wave sleep (stages 3 and 4) during recovery sleep was not the primary reason for the reduced body motility.     

EFFECTS OF A STRESSFUL PRESLEEP EXPERIENCE ON ELECTROENCEPHALOGRAPHRECORDED SLEEP

The effects on experimentally uninterrupted sleep of two films, one psychologically stressful and the other neutral, both seen just before bed, were studied in 12 male Ss on 2 nights according to a balanced design. EEG and electro-ocu-logram recordings were made of the first 6 hours of sleep. The stress film significantly increased the number of awakenings associated with rapid eye-movement periods (REMPs), but not that of non-REM sleep awakenings, as well as the proportion of REMPs terminated by spontaneous awakenings. It furthermore increased the frequency of REMs (REM density) during REMPs. These results suggest that the stress film produced a specific REM sleep disturbing effect via anxiety which carried over into the Ss’ sleep and dreams, and that it increased REM density secondary to drive enhancement.     

QUANTIFICATION OF THE REM SLEEP CYCLE AS A RHYTHM

The goal of this study was to develop an objective quantitative method for representing the temporal organization of sleep in terms of the period and rhythmicity of REM sleep occurrences. Data on normative human sleep, already scored for stage REM and not stage REM, were subjected to a “binary autocorrelation.” The mean period over 92 nights of sleep for 10 Ss was 101.5 min and quite stable. Data is also presented on variability of the rhythm in terms of an “index of rhythmicity.” Measures of temporal organization may prove to be as significant for sleep research as amount of the various sleep stages.     

Variations in Behavioral Response Threshold Within the REM Period of Human Sleep

Behavioral response threshold measures were compared between REM tonic, REM phasic, as well as NREM-2 sleep. Eighteen young college males were each instructed to respond with one or two microswitch presses upon detection of either of two tones triggered during two non-consecutive nights of sleep in the laboratory. Repeated measures comparisons (ANOVA) of average response threshold values, as determined via a method of limits procedure, showed REM tonic values to be significantly lower than both REM phasic and NREM-2 values while the latter two did not differ significantly from each other. The average of REM period threshold values was significantly lower than NREM-2 values, solely by virtue of the tonic component of the REM period. These differences within the REM period may account in part for greater variance in REM-period behavioral thresholds within and between similar studies. This consideration deserves attention in any attempt to compare the REM period as a whole to NREM-2 stage measures of responsiveness.     

"DREAM DETECTOR" AND AUTOMATIZATION OF REMP-AWAKENING TECHNIQUE FOR THE STUDY OF DREAMING

A device named “dream detector” was constructed to automatize the technique of studying dreams during the REM period of sleep (REMP). The principle of the dream detector is to identify the REMP automatically by counting the number of electrooculographically recorded REMs during the period of relative silence in EMG records. When the count number of EMs reaches a preset value, an alarm buzzer is turned on automatically to awaken the S. In preliminary experiments on 5 Ss, 62 out of 70 REMPs (88.6%) in a total of 16 experimental nights were correctly detected by using this device. In only 5 instances (3.5%) was the buzzer turned on during periods other than REMPs. The rate of correct detection was 56% for the first REMP of the night, 93% for the second REMP, and 100% for the following REMPs.     

Developmental changes in the sleep electroencephalogram of adolescent boys and girls

The sleep electroencephalogram (EEG) changes across adolescence; however, there are conflicting data as to whether EEG changes are regionally specific, are evident in non‐rapid eye movement (NREM) and rapid eye movement (REM) sleep, and whether there are sex differences. The present study seeks to resolve some of these issues in a combined cross‐sectional and longitudinal analysis of sleep EEG in adolescents. Thirty‐three healthy adolescents (18 boys, 15 girls; 11–14 years) were studied on two occasions 6–8 months apart. Cross‐sectional analysis of data from the initial visit revealed significantly less slow‐wave sleep, delta (0.3 to <4 Hz) and theta (4 to <8 Hz) power in both NREM and REM sleep with advancing age. The age–delta power relationship was significant at the occipital site, with age accounting for 26% of the variance. Longitudinal analysis revealed that NREM delta power declined significantly from the initial to follow‐up visit, in association with declining delta amplitude and incidence (P < 0.01), with the effect being greatest at the occipital site. REM delta power also declined over time in association with reduced amplitude (P < 0.01). There were longitudinal reductions in theta, alpha and sigma power in NREM and REM sleep evident at the occipital site at follow‐up (P < 0.01). No sex differences were apparent in the pattern of change with age for NREM or REM sleep. Declines in sleep EEG spectral power occur across adolescence in both boys and girls, particularly in the occipital derivation, and are not state‐specific, occurring in both NREM and REM sleep.     

Brain-mind states: I. Longitudinal field study of sleep/wake factors influencing mentation report length

STUDY OBJECTIVES: To collect and analyze reports of mental activity across sleep/wake states. DESIGN: Mentation reports were collected in a longitudinal design by combining our Nightcap sleep monitor with daytime experience sampling techniques. Reports were collected over 14 days and nights from active and quiet wake, after instrumental awakenings at sleep onset, and after both spontaneous and instrumental awakenings from REM and NREM sleep. SETTING: All reports were collected in the normal home, work and school environments of the subjects. PARTICIPANTS: Subjects included 8 male and 8 female undergraduate students (19-26 years of age). INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: A total of 1,748 reports, averaging 109 per subject, were collected from active wake across the day (n=894), from quiet wake in the pre-sleep onset period (n=58), from sleep onset (n=280), and from later REM (n=269) and nonREM (n=247) awakenings. Median report lengths varied more than 2-fold, in the order REM > active wake > quiet wake > NREM = sleep onset. The extended protocol allowed many novel comparisons between conditions. In addition, while spontaneous REM reports were longer than those from forced awakenings, the difference was explained by the time within the REM period at which the awakenings occurred. Finally, intersubject differences in REM report lengths were correlated with similar differences in waking report lengths. CONCLUSIONS: The use of the Nightcap sleep monitoring system along with waking experience sampling permits a more complete sampling and analysis of mental activity across the sleep/wake cycle than has been previously possible.     

PTSD-related hyperarousal assessed during sleep

Posttraumatic stress disorder is widely understood to include "persistent symptoms of increased arousal." This presumption has rarely been tested under conditions in which effects of anticipatory anxiety could be ruled out. In this study, heart rate and electroencephalogram spectral power were assessed during sleep, a state free of most sources of artifact contaminating indices of tonic arousal. Fifty-six unmedicated nonapneic Vietnam combat-related inpatients with posttraumatic stress disorder (PTSD) and 14 controls spent 3 or more nights in the sleep laboratory during which their electrocardiograms and electroencephalograms were continuously recorded. Heart rate and electroencephalogram spectral power were quantified continuously off-line and averaged by sleep stage over all postadaptational nights. Sleep heart rate exhibited no group differences and no covariation with the severity of subjective hyperarousal reported by PTSD patients. PTSD patients exhibited a trend toward reduced low-frequency electroencephalogram spectral power during nonrapid-eye-movement (NREM) sleep. This reduction was significant during slow-wave sleep in those subjects producing scoreable slow-wave sleep. The relationship of rapid-eye-movement (REM) beta-band power to NREM beta-band power was different in PTSD patients and controls, with the patients exhibiting more beta in REM versus NREM sleep than controls. In patients, NREM sleep sigma-band electroencephalogram spectral power exhibited a positive correlation with subjective hyperarousal. Finally, a novel and surprisingly strong inverse correlation between REM-NREM sleep heart rate difference and REM percent of sleep was observed in PTSD patients only. In summary, peripheral and central measures of tonic arousal during sleep demonstrated contrastive relations to PTSD diagnostic and symptom status. The data suggest that more consideration should be directed to mechanisms of central arousal in PTSD.     

Transdermal scopolamine alters phasic REM activity in normal young adults.

Transdermal scopolamine has been widely used for the prevention of motion-sickness by travelers due to its potent anticholinergic effects and the ease of administration. Nevertheless, its effects on sleep physiology are not known, despite the wellknown fact that the administration of scopolamine as an injection or an oral form could influence the sleep architecture, especially prolonging rapid eye movement (REM) sleep latency and shortening duration of REM sleep. This study aimed to measure the influence of transdermal scopolamine on REM sleep in order to examine whether it affects REM sleep as in the previous studies. We studied eight young healthy male adults polysomnographically for three nights including one adaptation night in a double blind crossover design and compared REM sleep-related variables between sleeps with and without scopolamine patch of 1.5 mg. We found no differences in tonic REM sleep measures such as REM duration and REM latency, but phasic REM sleep measures such as total REM activity (p < 0.05) and total REM density (p < 0.05) were significantly suppressed by the transdermal scopolamine; REM densities of the first (p < 0.05) and the second (p < 0.05) REM sleep periods as well as REM activity of the fourth REM sleep period (p < 0.05) were decreased significantly on the scopolamine patch nights compared with placebo patch nights. These results suggest that phasic REM components reflect cholinergic mechanism in the central nervous system (CNS) even at the lowest commercial dose, and could be useful markers of CNS cholinergic activities in the future research.     

Quantitative electroencephalography during rapid eye movement (REM) and non‐REM sleep in combat‐exposed veterans with and without post‐traumatic stress disorder

Sleep disturbances are a hallmark feature of post‐traumatic stress disorder (PTSD), and associated with poor clinical outcomes. Few studies have examined sleep quantitative electroencephalography (qEEG), a technique able to detect subtle differences that polysomnography does not capture. We hypothesized that greater high‐frequency qEEG would reflect ‘hyperarousal’ in combat veterans with PTSD (n = 16) compared to veterans without PTSD (n = 13). EEG power in traditional EEG frequency bands was computed for artifact‐free sleep epochs across an entire night. Correlations were performed between qEEG and ratings of PTSD symptoms and combat exposure. The groups did not differ significantly in whole‐night qEEG measures for either rapid eye movement (REM) or non‐REM (NREM) sleep. Non‐significant medium effect sizes suggest less REM beta (opposite to our hypothesis), less REM and NREM sigma and more NREM gamma in combat veterans with PTSD. Positive correlations were found between combat exposure and NREM beta (PTSD group only), and REM and NREM sigma (non‐PTSD group only). Results did not support global hyperarousal in PTSD as indexed by increased beta qEEG activity. The correlation of sigma activity with combat exposure in those without PTSD and the non‐significant trend towards less sigma activity during both REM and NREM sleep in combat veterans with PTSD suggests that differential information processing during sleep may characterize combat‐exposed military veterans with and without PTSD.     

Correlation Between Measures of the Rapid Eye Movements of Wakefulness and Sleep

Literature review suggested that certain properties of the REMs of wakefulness and REM sleep show changes with experience and/or maturation. A positive correlation was predicted to obtain between measures of REM sleep intensity and waking information search organization/activity in normal human adults. A correlational study of the REMs of sleep and wakefulness in 9 college-age Ss corroborated the hypothesis. Percentage REM sleep did not correlate significantly with any of the waking REM measures. Implications of the results for current theories and future research on REM sleep–waking perception interrelationships were described.     

Sleep state distribution of obstructive events in children: is obstructive sleep apnoea really a rapid eye movement sleep‐related condition?

Obstructive sleep apnoea (OSA) in children is commonly considered to occur predominantly in rapid eye movement (REM) sleep, but clinical experience suggests that this is not universally the case. We hypothesized that there would be a subgroup of children with OSA who have non‐REM (NREM) predominance of obstructive events and that these children share certain clinical characteristics. Thus, we aimed to compare the obstructive apnoea–hypopnoea index (OAHI) in REM versus NREM sleep and to assess factors influencing the distribution of events by sleep state. Polysomnography (PSG) recordings of 102 children aged 0–18 years with moderate to severe OSA (OAHI ≥5 h^?1) were reviewed. OAHI was calculated separately for REM and NREM sleep. A REM predominance index (RPI) was determined using log transformation [RPI = log (REM OAHI + 0.5) ? log (NREM OAHI + 0.5)] and compared with possible influencing factors using multiple linear regression. Analysis showed that obstructive events were more common in REM sleep (median REM OAHI 21.4 h^?1, median NREM OAHI 8.3 h^?1, P < 0.001). Mean RPI was significantly greater than zero (P = 0.003). However, a substantial minority of children (30.4%) had a higher NREM than REM OAHI. The factors that were related significantly to NREM predominance were older age (P = 0.02), higher arousal index (P < 0.001) and higher SpO₂ nadir (P < 0.001). Our findings demonstrate that while OSA is a REM sleep‐related problem in the majority of children, there is a significant subset of children with NREM predominance of obstructive events. This finding highlights the importance of considering sleep state distribution of events in studies of the pathophysiology and outcomes of OSA in childhood.     

The Effects of Continuous, High Intensity, White Noise on the Human Sleep Cycle

Eight male college students slept for 8 consecutive nights under conditions of 93 ± 2 dB white noise (N) and under normal quiet conditions (Q). On N nights the percentage of total sleep time spent in stage REM was decreased (p < .001), the percentages of stages 1 and 2 were increased (p < .05, p < .001, respectively) and REM latency was increased (p < .02) compared to Q nights prior to N nights. On Q nights following N nights the percentages of stage REM increased above baseline levels indicating compensatory recovery effects from REM sleep deprivation on the prior N nights. Stages 3 and 4 remained unchanged throughout the study. The reduction in stage REM on N nights was directly attributed to the effects of noise on the CNS and not a secondary result of an increased number of awakenings on N nights.     

Effects of sleep restriction on the sleep electroencephalogram of adolescents

Study ObjectivesThis report describes findings from an ongoing longitudinal study of the effects of varied sleep durations on wake and sleep electroencephalogram (EEG) and daytime function in adolescents. Here, we focus on the effects of age and time in bed (TIB) on total sleep time (TST) and nonrapid eye movement (NREM) and rapid eye movement (REM) EEG.MethodsWe studied 77 participants (41 male) ranging in age from 9.9 to 16.2 years over the 3 years of this study. Each year, participants adhered to each of three different sleep schedules: four consecutive nights of 7, 8.5, or 10 h TIB.ResultsAltering TIB successfully modified TST, which averaged 406, 472 and 530 min on the fourth night of 7, 8.5, and 10 h TIB, respectively. As predicted by homeostatic models, shorter sleep durations produced higher delta power in both NREM and REM although these effects were small. Restricted sleep more substantially reduced alpha power in both NREM and REM sleep. In NREM but not REM sleep, sleep restriction strongly reduced both the all-night accumulation of sigma EEG activity (11–15 Hz energy) and the rate of sigma production (11–15 Hz power).ConclusionsThe EEG changes in response to TIB reduction are evidence of insufficient sleep recovery. The decrease in sigma activity presumably reflects depressed sleep spindle activity and suggests a manner by which sleep restriction reduces waking cognitive function in adolescents. Our results thus far demonstrate that relatively modest TIB manipulations provide a useful tool for investigating adolescent sleep biology.