Serotonin neurons and sleep. I. Long term recordings of dorsal raphe discharge frequency and PGO waves

Brain stem transection studies suggest that pontine neurons play a key role in regulating the mammalian sleep cycle. The serotonin (5-HT) hypothesis originally postulated that pontine 5-HT containing neurons directly initiated and maintained synchronized or NREM sleep and "primed" rapid eye movement (REM) sleep. Contrary to the predictions of this hypothesis, single unit recordings from the serotonergic dorsal raphe nucleus (DRN) have uniformly shown that DRN discharge rate is positively correlated with behavioral arousal but negatively correlated with both the NREM and REM phases of sleep. These findings required revision of the original 5-HT hypothesis and suggested instead that DRN discharge may influence the maintenance of behavioral arousal and, by ceasing to discharge, may contribute to the generation of NREM and REM sleep. The purpose of this paper was to quantitatively assess the strength of the correlation between DRN discharge, REM sleep, and PGO waves following the experimental perturbations of the sleep cycle. Since forced locomotor activity is known to powerfully alter the timing of sleep and wakefulness, the present experiments used forced activity in an attempt to dissociate DRN discharge from the sleep cycle. It was hypothesized that such dissociations would suggest DRN discharge is not involved in sleep cycle regulation. Contrastingly, preserved correlations would support the hypothesis of a possible causal relationship between DRN discharge, PGO waves activity, and the timing of sleep and wakefulness. Extracellular recordings were obtained from single cells in the DRN of intact, undrugged cats across greater than 300 sleep cycles with durations ranging from about 8 to 80 mins. Forced activity significantly reduced the amount of time spent in wakefulness and increased the number but not the duration of REM sleep epochs. The results revealed that DRN discharge rate was altered as a function of sleep cycle duration. In no case, however, was forced activity able to completely dissociate the characteristic DRN discharge rates from PGO waves or the ultradian sleep cycle. The inability of forced activity to disrupt the faithful relationships between DRN discharge, PGO waves, and sleep cycle phase thus provides a new form of correlative evidence consistent with the hypothesis that the DRN is involved in sleep cycle regulation.     

Cholinergic microstimulation of the peribrachial nucleus in the cat. II. Delayed and prolonged increases in REM sleep.

The hypothesis that REM sleep is cholinergically mediated is supported by the identification of a cholinoceptive trigger zone in the FTG. Since this trigger zone is devoid of cholinergic neurons, the aim of the present study was to test the hypothesis that a cholinergic drive for REM sleep may come from the cholinergic cells of the PBL region. Chronically implanted freely moving cats with electrodes for sleep and PGO wave recordings were used. Guide tubes were implanted for carbachol microinjections (4 micrograms/250 nl) in the PBL and FTG. All microinjections were delivered in close vicinity of ChAT+ cholinergic cells in the PBL region. Results showed that a single unilateral carbachol microinjection into the PBL induced sustained (24 hr) state-independent ipsilateral PGO wave activity. This PGO wave activity was followed by a prolonged enhancement of REM sleep lasting for more than six days. We also observed that REM enhancement was followed by a delayed but marked enhancement of S sleep episodes with PGO waves (SP), which are normally brief transitions from S to REM sleep. Our findings strongly support the hypothesis that cholinergic drive for REM sleep comes from the lateral pontine tegmentum and we suggest that the PBL region plays a major role in both PGO wave generation and long-term regulation of REM sleep induction.     

Pontogeniculooccipital waves: spontaneous visual system activity during rapid eye movement sleep

1. Pontogeniculooccipital (PGO) waves are recorded during rapid eye movement (REM) sleep from the pontine reticular formation, lateral geniculate bodies, and occipital cortex of many species. 2. PGO waves are associated with increased visual system excitability but arise spontaneously and not via stimulation of the primary visual afferents. Both auditory and somatosensory stimuli influence PGO wave activity. 3. Studies using a variety of techniques suggest that the pontine brain stem is the site of PGO wave generation. Immediately prior to the appearance of PGO waves, neurons located in the region of the brachium conjunctivum exhibit bursts of increased firing, while neurons in the dorsal raphe nuclei show a cessation of firing. 4. The administration of pharmacological agents antagonizing noradrenergic or serotonergic neurotransmission increases the occurrence of PGO waves independent of REM sleep. Cholinomimetic administration increases the occurrence of both PGO waves and other components of REM sleep. 5. Regarding function, the PGO wave-generating network has been postulated to inform the visual system about eye movements, to promote brain development, and to facilitate the response to novel environmental stimuli.     

Influence of fear conditioning on elicited ponto-geniculo-occipital waves and rapid eye movement sleep

The amygdala plays a central role in fear conditioning, a model of anticipatory anxiety. It has massive projections to brainstem regions involved in rapid eye movement sleep (REM) and ponto-geniculo-occipital (PGO) wave generation. PGO waves occur spontaneously in REM or in response to stimuli. Electrical stimulation of the central nucleus of the amygdala enhances spontaneous PGO wave activity during REM and the amplitude of both the acoustic startle response and the elicited PGO wave (PGOE), a neural marker of alerting. This study examined the effects of fear conditioning on REM and on PGOE. On conditioning days, the number of REM episodes, the average REM duration and the REM percentage were decreased while REM latency was increased. The presentation of auditory stimuli in the presence of a light conditioned stimulus produced PGOE of greater amplitudes. The results suggest that fear, most likely involving the amygdala, can influence REM and brainstem alerting mechanisms.     

Elicited pontogeniculooccipital waves and phasic suppression of diaphragm activity in sleep and wakefulness

Fractionations are 20- to 100-ms pauses indiaphragm activity that occur spontaneously during rapid-eye-movement(REM) sleep, sometimes in association with pontogeniculooccipital (PGO)waves. Auditory stimuli can elicit fractionations or PGOwaves during REM sleep, non-REM (NREM) sleep, and waking; however,their interrelationship has not been investigated. To determine whetherthe two phenomena are produced by a common phasic-event generator inREM sleep, we examined PGO waves and fractionations that were elicitedby auditory stimuli (tones) presented to freely behaving cats across states. Tones elicited PGO waves and two types of fractionations: short-latency fractionation responses (SFRs; 10- to 60-ms latencies) and long-latency fractionation responses (LFRs; 60- to 120-ms latencies). Both a PGO wave and a SFR were elicited in60-70% of trials across states, but each could be elicited alone.The latencies and durations of elicited SFRs were similar acrossstates, but the latencies of elicited PGO waves in REM sleep (mean 62.5 ms) were significantly longer than in waking or NREM sleep. Elicited SFRs consistently occur with shorter latencies than do PGO waves, incontrast to spontaneous fractionations, which have a variable relationship to PGO waves and usually occur 10-40 ms after the onset of the PGO wave. The LFR then, elicited mostfrequently during REM sleep, resembles a spontaneous fractionation inits temporal relationship to the PGO wave and may reflect the bias toward motoneuronal inhibition characterizing REM sleep but not NREMsleep or waking. We conclude that, although PGO waves and SFRs sharesome features, like LFRs they probably are generated by differentneuronal populations. In three cats there was no correlation betweenPGO waves and fractionations, whereas in one cat they were associatedin REM sleep (LFRs and SFRs) and waking (SFRs only). Thus the majorityof evidence argues against the existence of a common phasic-eventgenerator in REM sleep.

     

Investigation of dream reports after transcranial direct current stimulation (tDCs) during slow wave sleep (SWS)

Despite being a prominent feature of REM sleep, dreams have also been reported from NREM sleep. Neuroimaging studies have revealed regional patterns of brain activation and deactivation during REM and NREM sleep, with frontal and posterior parietal cortices implicated as brain regions involved in dreaming. From our recent stage 2 study it was revealed that tDCs of these brain regions during this stage of sleep resulted in an increase in reported dream imagery. Thus, the aim of this study was to investigate the effect of simultaneous anodal and cathodal tDCs applied to the right posterior parietal and frontal cortex (respectively) during SWS on dream recall. After 60 s of continuous SWS, participants were administered either tDCs, low tDCs, or blank control, followed by a 60 s delay period to confirm SWS before waking the participant for dream report collection. These conditions were administered in a counterbalanced order across the night. Analyses revealed no significant difference between conditions in the three dream measures. However, an analysis of visualizable nouns to total words revealed a significantly higher ratio in the low tDCs condition compared to the tDCs condition. It was concluded that tDCs had no appreciable effect on reported dream imagery. However, such findings are preliminary as they are from a research protocol which is in the process of refinement with more definitive results expected in future. Thus, further studies should now investigate the application of tDCs using improved methodologies and to other cortical regions implicated in the process of dreaming.

     

Cholinergic microstimulation of the peribrachial nucleus in the cat. I. Immediate and prolonged increases in ponto-geniculo-occipital waves.

The cholinergic agonist carbachol was injected into the pontine Pb area where PGO bursting cells have been recorded. When microinjections were localized to the ventrolateral aspect of the caudal Pb nucleus near aggregates of ChAT immunolabeled cholinergic neurons, carbachol produced an immediate onset of state-independent PGO waves in the ipsilateral LGB. These state-independent PGO waves persisted for 3-4 days. After the first 24 hrs PGO wave activity increasingly became associated with REM sleep and with REM transitional SP sleep as both of these PGO-related states increased in amount to 3-4 times baseline levels. The increase in amount of PGO-related states peaked on days 2-4 following one carbachol injection and persisted for 10-12 days. These results suggest a two stage process: stage one, PGO enhancement, is the direct consequence of the membrane activation of cholinoceptive PGO burst neurons by carbachol; stage two, REM enhancement, is the consequence of metabolic activation of endogenous cholinergic neurons. This experimental preparation is a useful model for the study of the electrophysiology and functional significance of PGO wave and REM sleep generation.     

Psychophysiological correlates of lucid dreaming.

The main goal of the present study was to explore electrophysiological differences between lucid and nonlucid dreams in REM sleep. Seven men and four women experienced in lucid dreaming underwent polysomnographic recordings in the sleep laboratory on two consecutive nights. EEG signals were subjected to spectral analysis to obtain five different frequency bands between 1 and 20 Hz. Lucidity was determined by both subjective dream reports and eye-movement signals made by the subjects in response to light stimuli indicating a REM period. The main discrimination factor between lucid and nonlucid dreaming was found in the beta-1 frequency band (13-19 Hz), which in lucid dreaming was increased in both parietal regions. The ratio of frontal to parietal beta-1 activity was 1 to 1.16 in nonlucid and 1 to 1.77 in lucid dreaming. A tendency towards the greatest increase was observed in the left parietal lobe (P3), an area of the brain considered to be related to semantic understanding and self-awareness. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Dreamed movement elicits activation in the sensorimotor cortex

Since the discovery of the close association between rapid eye movement (REM) sleep and dreaming, much effort has been devoted to link physiological signatures of REM sleep to the contents of associated dreams [1-4]. Due to the impossibility of experimentally controlling spontaneous dream activity, however, a direct demonstration of dream contents by neuroimaging methods is lacking. By combining brain imaging with polysomnography and exploiting the state of "lucid dreaming," we show here that a predefined motor task performed during dreaming elicits neuronal activation in the sensorimotor cortex. In lucid dreams, the subject is aware of the dreaming state and capable of performing predefined actions while all standard polysomnographic criteria of REM sleep are fulfilled [5, 6]. Using eye signals as temporal markers, neural activity measured by functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (NIRS) was related to dreamed hand movements during lucid REM sleep. Though preliminary, we provide first evidence that specific contents of REM-associated dreaming can be visualized by neuroimaging.     

Transcranial electrical currents to probe EEG brain rhythms and memory consolidation during sleep in humans

Previously the application of a weak electric anodal current oscillating with a frequency of the sleep slow oscillation (～0.75 Hz) during non-rapid eye movement sleep (NonREM) sleep boosted endogenous slow oscillation activity and enhanced sleep-associated memory consolidation. The slow oscillations occurring during NonREM sleep and theta oscillations present during REM sleep have been considered of critical relevance for memory formation. Here transcranial direct current stimulation (tDCS) oscillating at 5 Hz, i.e., within the theta frequency range (theta-tDCS) is applied during NonREM and REM sleep. Theta-tDCS during NonREM sleep produced a global decrease in slow oscillatory activity conjoint with a local reduction of frontal slow EEG spindle power (8-12 Hz) and a decrement in consolidation of declarative memory, underlining the relevance of these cortical oscillations for sleep-dependent memory consolidation. In contrast, during REM sleep theta-tDCS appears to increase global gamma (25-45 Hz) activity, indicating a clear brain state-dependency of theta-tDCS. More generally, results demonstrate the suitability of oscillating-tDCS as a tool to analyze functions of endogenous EEG rhythms and underlying endogenous electric fields as well as the interactions between EEG rhythms of different frequencies.     

Electrophysiological correlates of rest and activity in Drosophila melanogaster

Extended periods of rest in Drosophila melanogaster resemble mammalian sleep states in that they are characterized by heightened arousal thresholds and specific alterations in gene expression. Defined as inactivity periods spanning 5 or more min, amounts of this sleep-like state are, as in mammals, sensitive to prior amounts of waking activity, time of day, and pharmacological intervention. Clearly recognizable changes in the pattern and amount of brain electrical activity accompany changes in motor activity and arousal thresholds originally used to identify mammalian sleeping behavior. Electroencephalograms (EEGs) and/or local field potentials (LFPs) are now widely used to quantify sleep state amounts and define types of sleep. Thus, slow-wave sleep (SWS) is characterized by EEG spindles and large-amplitude delta-frequency (0-3.5 Hz) waves. Rapid-eye movement (REM) sleep is characterized by irregular gamma-frequency cortical EEG patterns and rhythmic theta-frequency (5-9 Hz) hippocampal EEG activity. It is unknown whether rest and activity in Drosophila are associated with distinct electrophysiological correlates. To address this issue, we monitored motor activity levels and recorded LFPs in the medial brain between the mushroom bodies, structures implicated in the modulation of locomotor activity, of Drosophila. The results indicate that LFPs can be reliably recorded from the brains of awake, moving fruit flies, that targeted genetic manipulations can be used to localize sources of LFP activity, and that brain electrical activity of Drosophila is reliably correlated with activity state.     

Sleeping Dreams, Waking Hallucinations, and the Central Nervous System

Consciousness is now considered a primary function and activity of the brain itself. If so, consciousness is simply the brain's interpretation and integration of all the information made available to it at any given time. On the assumption that the brain is active across all states of being (wakefulness, REM sleep, and NREM sleep), this article proposes that dreaming and hallucinations represent variations on the same theme. Under usual circumstances during wakefulness, the brain ignores internally generated activity and attends to environmental sensory stimulation. During sleep, dreaming occurs because the brain attends to endogenously generated activity. In unusual settings, such as sleep-deprivation, sensory deprivation, or medication or drug ingestion, the brain attends to exogenous and endogenous activities simultaneously, resulting in hallucinations, or wakeful dreaming. This concept is supported by numerous neurologic conditions and syndromes that are associated with hallucinations.     

Effects of bromocriptine and alpha-flupenthixol on sleep in REM sleep deprived rats.

Administration of bromocriptine mesylate (5 mg/kg, i.p.), a dopamine receptor stimulant, to rats which were deprived of REM sleep for 24 hours resulted in a significant increase in wakefulness as well as significant reduction of REM sleep during the first 5 hours of EEG recording. These effects were completely abolished by pretreatment with α-flupenthixol (0.2 mg/kg, i.p.), a dopamine receptor blocker. The loss of REM sleep has not been regained during the next 25 hours of EEG recording suggesting that the stimulation of dopamine receptors reduced REM sleep without causing subsequent REM rebound. These data raise questions on the negative dopamine control of REM sleep and on the potential use of dopamine stimulants in clinical situations characterized by excessive REM or by REM sleep dysfunction (narcolepsy).     

Analysis and automatic identification of sleep stages using higher order spectra

Electroencephalogram (EEG) signals are widely used to study the activity of the brain, such as to determine sleep stages. These EEG signals are nonlinear and non-stationary in nature. It is difficult to perform sleep staging by visual interpretation and linear techniques. Thus, we use a nonlinear technique, higher order spectra (HOS), to extract hidden information in the sleep EEG signal. In this study, unique bispectrum and bicoherence plots for various sleep stages were proposed. These can be used as visual aid for various diagnostics application. A number of HOS based features were extracted from these plots during the various sleep stages (Wakefulness, Rapid Eye Movement (REM), Stage 1-4 Non-REM) and they were found to be statistically significant with p-value lower than 0.001 using ANOVA test. These features were fed to a Gaussian mixture model (GMM) classifier for automatic identification. Our results indicate that the proposed system is able to identify sleep stages with an accuracy of 88.7%.     

REM sleep depotentiates amygdala activity to previous emotional experiences

Clinical evidence suggests a potentially causal interaction between sleep and affective brain function; nearly all mood disorders display co-occurring sleep abnormalities, commonly involving rapid-eye movement (REM) sleep. Building on this clinical evidence, recent neurobiological frameworks have hypothesized a benefit of REM sleep in palliatively decreasing next-day brain reactivity to recent waking emotional experiences. Specifically, the marked suppression of central adrenergic neurotransmitters during REM (commonly implicated in arousal and stress), coupled with activation in amygdala-hippocampal networks that encode salient events, is proposed to (re)process and depotentiate previous affective experiences, decreasing their emotional intensity. In contrast, the failure of such adrenergic reduction during REM sleep has been described in anxiety disorders, indexed by persistent high-frequency electroencephalographic (EEG) activity (>30 Hz); a candidate factor contributing to hyperarousal and exaggerated amygdala reactivity. Despite these neurobiological frameworks, and their predictions, the proposed benefit of REM sleep physiology in depotentiating neural and behavioral responsivity to prior emotional events remains unknown. Here, we demonstrate that REM sleep physiology is associated with an overnight dissipation of amygdala activity in response to previous emotional experiences, altering functional connectivity and reducing next-day subjective emotionality.     

Spectral analysis of the heart rate variability in sleep

Spectral analysis of heart rate variability (HRV) during overnight polygraphic recording was performed in 11 healthy subjects. The total spectrum power, power of the VLF, LF and HF spectral bands and the mean R-R were evaluated. Compared to Stage 2 and Stage 4 non-REM sleep, the total spectrum power was significantly higher in REM sleep and its value gradually increased in the course of each REM cycle. The value of the VLF component (reflects slow regulatory mechanisms, e.g. the renin-angiotensin system, thermoregulation) was significantly higher in REM sleep than in Stage 2 and Stage 4 of non-REM sleep. The LF spectral component (linked to the sympathetic modulation) was significantly higher in REM sleep than in Stage 2 and Stage 4 non-REM sleep. On the contrary, a power of the HF spectral band (related to parasympathetic activity) was significantly higher in Stage 2 and Stage 4 non-REM than in REM sleep. The LF/HF ratio, which reflects the sympathovagal balance, had its maximal value during REM sleep and a minimal value in synchronous sleep. The LF/HF ratio significantly increased during 5-min segments of Stage 2 non-REM sleep immediately preceding REM sleep compared to 5-min segments of Stage 2 non-REM sleep preceding the slow-wave sleep. This expresses the sympathovagal shift to sympathetic predominance occurring before the onset of REM sleep. A significant lengthening of the R-R interval during subsequent cycles of Stage 2 non-REM sleep was documented, which is probably related to the shift of sympathovagal balance to a prevailing parasympathetic influence in the course of sleep. This finding corresponds to a trend of a gradual decrease of the LF/HF ratio in subsequent cycles of Stage 2 non-REM sleep.     

Prostaglandins and sleep. Awaking effect of prostaglandins and sleep pattern of essential fatty acids deficient (EFAD) rats.

The experiments were carried out to investigate the effects of prostaglandins (PGs) on the sleep pattern in the cat, and in normal and EFAD rats. The data indicate that the duration of slow wave sleep (SWS) was significantly longer in EFAD rats compared with the normal rats. However, no difference in the REM sleep was observed between the two groups. Intraventricular (i.vc. )administration of PGE1, PGE2 and PGF2alpha increased wakefulness without a significant alteration of REM sleep. PGE1 administered i.vc. did not alter the duration of SWS or REM sleep in the chronic cat, but induced ponto-geniculo-occipital (PGO) waves (spikes) which are the phasic phenomenon of REM sleep. The fact that previous administration of 5-hydroxytryptophane abolished the PGE1-induced PGO spiking, might indicate that this drug triggered the spikes mainly via the functional inhibition of the serotonergic system.     

Sleep after mobile phone exposure in subjects with mobile phone‐related symptoms

Several studies show increases in activity for certain frequency bands (10–14 Hz) and visually scored parameters during sleep after exposure to radiofrequency electromagnetic fields. A shortened REM latency has also been reported. We investigated the effects of a double‐blind radiofrequency exposure (884 MHz, GSM signaling standard including non‐DTX and DTX mode, time‐averaged 10 g psSAR of 1.4 W/kg) on self‐evaluated sleepiness and objective EEG measures during sleep. Forty‐eight subjects (mean age 28 years) underwent 3 h of controlled exposure (7:30–10:30 PM; active or sham) prior to sleep, followed by a full‐night polysomnographic recording in a sleep laboratory. The results demonstrated that following exposure, time in Stages 3 and 4 sleep (SWS, slow‐wave sleep) decreased by 9.5 min (12%) out of a total of 78.6 min, and time in Stage 2 sleep increased by 8.3 min (4%) out of a total of 196.3 min compared to sham. The latency to Stage 3 sleep was also prolonged by 4.8 min after exposure. Power density analysis indicated an enhanced activation in the frequency ranges 0.5–1.5 and 5.75–10.5 Hz during the first 30 min of Stage 2 sleep, with 7.5–11.75 Hz being elevated within the first hour of Stage 2 sleep, and bands 4.75–8.25 Hz elevated during the second hour of Stage 2 sleep. No pronounced power changes were observed in SWS or for the third hour of scored Stage 2 sleep. No differences were found between controls and subjects with prior complaints of mobile phone‐related symptoms. The results confirm previous findings that RF exposure increased the EEG alpha range in the sleep EEG, and indicated moderate impairment of SWS. Furthermore, reported differences in sensitivity to mobile phone use were not reflected in sleep parameters. Bioelectromagnetics 32:4–14, 2011. © 2010 Wiley‐Liss, Inc.     

The Relationship between Brain Morphology and Polysomnography in Healthy Good Sleepers

BackgroundNormal sleep continuity and architecture show remarkable inter-individual variability. Previous studies suggest that brain morphology may explain inter-individual differences in sleep variables.MethodThirty-eight healthy subjects spent two consecutive nights at the sleep laboratory with polysomnographic monitoring. Furthermore, high-resolution T1-weighted MRI datasets were acquired in all participants. EEG sleep recordings were analyzed using standard sleep staging criteria and power spectral analysis. Using the FreeSurfer software for automated segmentation, 174 variables were determined representing the volume and thickness of cortical segments and the volume of subcortical brain areas. Regression analyses were performed to examine the relationship with polysomnographic and spectral EEG power variables.ResultsThe analysis did not provide any support for the a-priori formulated hypotheses of an association between brain morphology and polysomnographic variables. Exploratory analyses revealed that the thickness of the left caudal anterior cingulate cortex was positively associated with EEG beta2 power (24–32 Hz) during REM sleep. The volume of the left postcentral gyrus was positively associated with periodic leg movements during sleep (PLMS).ConclusionsThe function of the anterior cingulate cortex as well as EEG beta power during REM sleep have been related to dreaming and sleep-related memory consolidation, which may explain the observed correlation. Increased volumes of the postcentral gyrus may be the result of increased sensory input associated with PLMS. However, due to the exploratory nature of the corresponding analyses, these results have to be replicated before drawing firm conclusions.     

Effects of Somatosensory Stimulation on Dream Content in Gymnasts and Control Participants: Evidence of Vestibulomotor Adaptation in REM Sleep

Somatosensory stimulation of the leg muscles in REM sleep appears to perturb virtual orientation in dream experiences. According to our model of vestibulomotor adaptation (Sauvageau, Nielsen, & Montplaisir, 1996), the dreaming mind attempts to compensate for such destabilizing stimulation by increasing eye movement activity or by modifying dream content, among other possible reactions. Effective compensation may be more easily achieved by participants who are adapted to the disruptive stimulation or who possess highly developed vestibulomotor skills. To examine this possibility, we studied the effects of Somatosensory stimulation on the dreams of 6 gymnasts and 6 control participants aged 9 to 16 years. Results provide some support for the expectations that 1) imposed Somatosensory information is processed by the central nervous system in REM sleep, 2) unilateral stimulation induces an upset in virtual orientation, 3) gymnasts are more resistant to these disruptive effects of stimulation than are control participants, and 4) because of long-term adaptation, the dream content of gymnasts does not differ markedly from that of controls. Though preliminary and in need of replication, the findings are compatible with the notion that the developed vestibular skills of gymnasts protects them to some extent from the effects of a disruptive Somatosensory stimulus during sleep.