Functional MRI during sleep: arousal and anti-arousal responses.
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Arousal↗
Biomedical subjects
L Parrino
Publications and source records attributed to L Parrino.
The challenge of chronic insomnia: is non-nightly hypnotic treatment a feasible alternative?
The adverse effects of insomnia on health and quality of life are matters receiving increasing attention. Yet, surveys have consistently shown that most people suffering from insomnia do not seek medical help, perhaps, in part, because of a concern of becoming dependent on hypnotic medication. The treatment of chronic insomnia poses a particular dilemma in that continuous hypnotic treatment is restricted in many countries to a maximum of 4 weeks, and behavioural treatment is not readily available. Non-nightly hypnotic treatment of chronic insomnia offers a promising alternative option for the many patients whose symptoms do not necessitate nightly drug intake, allaying fears of psychological dependence on medication and respecting regulatory constraints on hypnotic use while providing patients with adequate symptom relief. The practical feasibility and efficacy of this approach has been demonstrated with zolpidem using various treatment regimens and study designs. So far, six clinical trials have been completed on over 4000 patients. Published results show effective treatment of insomnia without any evidence of either adverse event associated with a discontinuous regimen or increased hypnotic use over the treatment period.
Humans↗
Spike-wave discharge and the microstructure of sleep-wake continuum in idiopathic generalised epilepsy.
This review summarises all the evidences about the influence of different vigilance states on the occurrence of spike wave discharge (SWD) in idiopathic generalised epilepsy (IGE) patients. Numerous converging observations showed that full REM-sleep and alert wakefulness exert strong inhibition. A critical zone of vigilance which is a transitional state between waking and non-REM (NREM) sleep, and NREM sleep and REM sleep, has a promoting effect on the absence type spike wave discharge. Spike wave discharges are associated with phasic arousals without awakening and are attached to oscillation son the microstructural level of sleep, perpetuated by cyclic arousal events known as 'cyclic alternating pattern' (CAP), especially within the critical zone, but also along the whole sleep process. More specifically SWD seems to be attached to the 'A-phase' of CAP which is a reactive one and reflects synchronised NREM sleep EEG elements, like K-complexes, spindles and delta groups. The more slow wave elements are found in phase A--like in subtype A1--the more the coincidence with SWD occurs, and the more it is characterised by fast rhythms--as in subtype A2 and A3--the less the association with SWD could be observed. Since subtype A1 is associated with the first sleep cycle and with the descending branches of cycles, it is concluded that SWD appear in those dynamic moments of vigilance level oscillations which were characterised by strong sleep-like answers to arousal influences in high sleep pressure periods of sleep cyclicity. These data harmonize with another line of evidence suggesting that SWD represent the epileptic variant of the complex thalamocortical system function which is the substrate of NREM sleep EEG phenomena. In idiopathic generalised epilepsy there is a growing body of evidence that--as it was assumed by Gloor--spindles transform to SWD pattern. These data explain why those dynamic changes which evoke sleep responses are promoting for the occurrence of SWD. Adapting these data we offer a new interpretation to explain the strong activation effect of sleep deprivation in this kind of epilepsy. We assume that it is mainly due to the forced vigilance level oscillations, especially in morning, when elevated sleep pressure and circadian wake promoting forces, representing opposite tendencies, increase the amount of oscillations.
Epilepsy, Generalized↗
Relationship of slow and rapid EEG components of CAP to ASDA arousals in normal sleep.
STUDY OBJECTIVES: Besides arousals (according to the ASDA definition), sleep contains also K-complexes and delta bursts which, in spite of their sleep-like features, are endowed with activating effects on autonomic functions. The link between phasic delta activities and enhancement of vegetative functions indicates the possibility of physiological activation without sleep disruption (i.e., arousal without awakening). A functional connection seems to include slow (K-complexes and delta bursts) and rapid (arousals) EEG events within the comprehensive term of activating complexes. CAP (cyclic alternating pattern) is the spontaneous EEG rhythm that ties both slow and rapid activating complexes together during NREM sleep. The present study aims at exploring the relationship between arousals and CAP components in a selected sample of healthy sleepers. DESIGN: Polysomnographic analysis according to the scoring rules for sleep stages and arousals. CAP analysis included also tabulation of subtypes A1 (slow EEG activating complexes), A2 and A3 (activating complexes with fast EEG components). SETTING: 40 sleep-lab accomplished recordings. PARTICIPANTS: Healthy subjects belonging to a wide age range (38 +/- 20 yrs.). INTERVENTIONS: N/A. MEASUREMENT AND RESULTS: Of all the arousals occurring in NREM sleep, 87% were inserted within CAP. Subtypes A2 and A3 of CAP corresponded strikingly with arousals (r=0.843; p<0.0001), while no statistical relationship emerged when arousals were matched with subtypes A1 of CAP. Subtypes A1 instead correlated positively with the percentages of deep sleep (r=0.366; p<0.02). CONCLUSIONS: The CAP subtype classification encompasses both the process of sleep maintenance (subtypes A1) and sleep fragmentation (subtypes A2 and A3), and provides a periodicity dimension to the activating events of NREM sleep.
Adult↗
Combined influence of cyclic arousability and EEG synchrony on generalized interictal discharges within the sleep cycle.
PURPOSE: to analyze the activating role of cyclic alternating pattern (CAP) and EEG synchrony on generalized interictal paroxysms in the first part of the night, when all sleep patterns are represented. METHODS: nocturnal polysomnographic investigation was accomplished on a randomized series of 18 subjects with an active form of primary generalized epilepsy (PGE), but only six patients showed a complete and regular profile of the first two sleep cycles (SCs). Completeness and regularity of the selected SCs consisted in the absence of intervening wakefulness, in the presence of all sleep stages, and in the identification of three main units, (a) a descending branch, dominated by the build-up of EEG synchrony in the transition from light to deep non-rapid eye movement (NREM) sleep; (b) a trough, where the magnitude of EEG synchrony is greatest and gives rise to stages 3 and 4; (c) an ascending branch characterized by a decrease of EEG synchrony preceding the onset of rapid eye movement (REM) sleep. Generalized paroxysms were evaluated in terms of discharge rates (number of interictal bursts per minute of sleep) and distribution within the investigated sleep parameters. RESULTS: the discharge rates decreased from SC1 to SC2, with higher values quantified during NREM sleep (mean, 2.8) compared with REM sleep (mean, 0.8). Both SCs showed a progressive decrease of activation across the three units, from the highest discharge rates reached during the descending branches (mean, 3.6) to the more attenuated discharge rates during the troughs (mean, 2.4) down to the lowest rates during the ascending limbs (mean, 1.1). The magnitude of activation during the descending branches was closely related to the CAP condition (mean, 5.2) and to the powerful effect of phase A (mean, 13.9). The great majority (82%) of EEG discharges occurring in phase A were distributed within the A1 subtypes (identified by sequences of k-complexes or delta bursts). CONCLUSIONS: within the first two SCs, the features of NREM sleep endowed with the major activating power on generalized bursts are represented by the rise of EEG synchrony (descending branch) and by the A phases of CAP involved in the regulation of its build-up.
Adolescent↗
Sleep in Lennox-Gastaut syndrome: the role of the cyclic alternating pattern (CAP) in the gate control of clinical seizures and generalized polyspikes.
Non-rapid eye movement (NREM) sleep contains periods of arousal instability (cyclic alternating pattern or CAP) and periods of arousal stability (non-CAP). During CAP, arousal oscillates between higher (phase A) and lower (phase B) levels of activation. We evaluated the relationship between CAP and the occurrence of epileptic events, i.e. clinical seizures and generalized interictal discharges, during sleep in 10 patients with Lennox-Gastaut syndrome (LGS). The macro- and microstructure of sleep of 10 attended overnight polysomnograms were analyzed. Compared with 10 age- and gender-matched controls, patients with LGS had significantly less stage 2 and REM sleep and higher amounts of CAP rate (68% vs. 33%; P<0.0001). The number of generalized polyspike bursts per hour of sleep was highest in slow wave sleep (226.5+/-57.6) and lowest in REM sleep (3.9+/-1.5). The polyspike burst frequency was significantly greater (P<0.017) during CAP (213.2+/-60.1) than during non-CAP (100.3+/-40), and within CAP, generalized polyspikes occurred more often (P=0.005) during phase A (461.1+/-127.2) than during phase B (6.1+/-1.9). The total amount of generalized polyspike bursts identified in NREM sleep correlated positively both with the number of A phases containing at least one generalized polyspike (P=0.005) and with the mean number of polyspikes within each of these A phases (P<0.0001). Nocturnal clinical seizures occurred in 8 of the 10 patients and showed a similar trend. We conclude from our results that CAP modulates the occurrence of both clinical seizures and generalized epileptic discharges in LGS by means of a gate-control mechanism: an independent spike generator is inhibited in phase B and non-CAP and bursts with its intrinsic activity in phase A.
Adolescent↗
Atlas, rules, and recording techniques for the scoring of cyclic alternating pattern (CAP) in human sleep.
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Journal Article↗
[Neurophysiological basis of insomnia: role of cyclic alternating patterns].
During non-REM (NREM) sleep it is possible to identify two complementary conditions of arousal stability and arousal instability. Unstable sleep, which can be detected in all stages, is expressed by the recurrence of arousal complexes (sequences of K-complexes, delta bursts, K-alpha, conventional arousals), which translate a brief (10-15 s) activation of the sleeping brain. These repetitive arousal complexes compose the cyclic alternating pattern (CAP). During stable NREM sleep, arousal complexes are rare or absent and the EEG lacks any cyclic pattern (non-CAP). CAP is a spontaneous feature of normal sleep as it is typically involved in stage changes and nocturnal motor activity. The physiological amount of CAP rate (ratio of CAP time to NREM sleep time) varies with age according to a U-shape curve. Within these ranges, sleep is perceived as continuous and restorative. Conversely, an excess of CAP rate fragments sleep and impairs its quality. Polysomnographic investigation reveals that untreated insomniac patients exhibit significantly higher values of CAP rate compared to healthy sleepers. Effective hypnotic treatment restores physiological amounts of CAP rate, with specific differences between the administered drugs. The sensitivity of CAP parameters to drug manipulation can provide circumscribed information on the hypnotic properties of active compounds.
Arousal↗
Sleep reactivity during acute nasal CPAP in obstructive sleep apnea syndrome.
OBJECTIVE: To measure the readjustments of sleep macro- and microstructure in patients with obstructive sleep apnea syndrome (OSAS) after acute nasal continuous positive airway pressure (NCPAP) treatment. BACKGROUND: The conventional polysomnographic analysis (macrostructure of sleep) does not necessarily provide the best measures of sleep disruption associated with OSAS. In contrast, microstructural methods of analyzing sleep (i.e., arousals and cyclic alternating pattern) may improve evaluation of patients with OSAS. METHOD: - Ten patients with OSAS were monitored polygraphically before and during the first night of NCPAP therapy. The results were compared with those of 10 age- and sex-matched controls without sleep-related breathing disorders. Each nocturnal recording was followed by daytime observation using the multiple sleep latency test and Visual Analogue Scale (VAS). RESULTS: The first night of ventilatory therapy was characterized by a remarkable expansion of stages 3 and 4 and of REM sleep. In addition, NCPAP suppressed the presence of cyclic alternating pattern (CAP) in REM sleep and induced an impressive rebound of arousals and of certain CAP variables-i.e., CAP rate, CAP time, number of CAP cycles-which dropped well below the physiologic values expressed by controls. A normal duration of phases A and B was re-established starting the first treatment night. When we matched sleep variables with the indices of daytime function, a significant correlation emerged only between the variations of CAP rate and VAS scores. In particular, improvement of daytime sleepiness was less evident when the ventilatory-induced drop of CAP rate was more pronounced. CONCLUSIONS: The application of CAP variables to the microstructural analysis of sleep may expand our knowledge regarding sleep and respiration.
Adult↗
Cyclic alternating pattern (CAP) and epilepsy during sleep: how a physiological rhythm modulates a pathological event.
OBJECTIVES: Epileptic susceptibility is triggered by the sleeping condition. However, both ictal and interictal events are not equally affected by the different sleep states. Besides the well-known dichotomy between non-REM sleep (high activation) and REM sleep (low activation), epileptic phenomena are deeply sensitive to the ongoing level of arousal. METHODS: During non-REM sleep the arousal level can be either unstable, as expressed by the repetitive sequences of the cyclic alternating pattern (CAP), or stable, as reflected by non-CAP. Phase A (arousal complex) and phase B (post-arousal rebound response) are the two basic components of the CAP cycle, which presents a 20-40 s periodicity. Three subtypes of A phases can be recognized: the A1 subtypes, which are thoroughly composed of K-complexes and delta bursts, and subtypes A2 and A3 dominated by moderate (A2) or prominent (A3) EEG desynchrony. RESULTS: As a manifestation of unstable sleep, CAP offers a favorable background for the occurrence of nocturnal motor seizures that in most cases arise in concomitance with a phase A. In primary generalized epilepsy (PGE) and in lesional epilepsies with fronto-temporal focus, activation of interictal discharges is high during CAP reaching the climax during phase A and the strongest inhibition during phase B. A lack of modulation is observed instead in epilepsy with benign rolandic spikes. In PGE, the interictal bursts are mostly associated with the highly synchronized phase A1 subtypes. CONCLUSIONS: The analysis of sleep microstructure based on CAP parameters offers a sensitive framework for exploring the linkage between dynamic EEG events and epileptic phenomena.
Brain↗
CAP components and EEG synchronization in the first 3 sleep cycles.
OBJECTIVE: There is consolidated evidence that stage changes in sleep are closely related to spontaneous EEG fluctuations centered on the 20-40 periodicity of the cyclic alternating pattern (CAP). The present investigation aimed at assessing the involvement of the different components of CAP in the process of build-up, maintenance and demolition of deep non-REM (NREM) sleep. METHODS: CAP parameters were quantified in the first 3 sleep cycles (SC1, SC2, SC3), selected from polysomnographic recordings of 25 healthy sound sleepers belonging to an extensive age range (10-49 years). Only ideal SCs were selected, i.e. the ones uninterrupted by intervening wakefulness and in which all stages were represented and linked in a regular succession of a descending branch, a trough and an ascending branch. RESULTS: Among the first 3 SCs, a total amount of 45 (SC1, 16; SC2, 13; SC3, 16) met the inclusion requirements. SCI contained the highest amount of slow wave sleep (43.7 min) and the lowest values of CAP rate (31.6%). The number of phase A1 subtypes remained unmodified across the 3 SCs (SC1, 48; SC2, 48; SC3, 48), whereas both subtypes A2 (SC1, 9; SC2, 14; SC3, 14) and A3 (SC1, 2; SC2, 8; SC3, 10) increased significantly (P<0.028 and P<0.0001, respectively). The A1 subtypes composed more than 90% of all the A phases collected in the descending branches and in the troughs, while the A2 and A3 subtypes were the major representatives (64.3%) of the A phases occurring in the ascending branches. CONCLUSIONS: Within the dynamic organization of sleep, the non-random distribution of CAP sequences, with their succession of slow (subtypes A1) and rapid (subtypes A2 and A3) EEG shifts, seem to be responsible for sculpturing EEG synchrony under the driving and alternating forces of NREM and REM sleep.
Adolescent↗
Cyclic alternating pattern and spectral analysis of heart rate variability during normal sleep.
The natural arousal rhythm of non-rapid eye movement (NREM) sleep is known as the cyclic alternating pattern (CAP), which consists of arousal-related phasic events (Phase A) that periodically interrupt the tonic theta/delta activities of NREM sleep (Phase B). The complementary condition, i.e. non-CAP (NCAP), consists of a rhythmic electroencephalogram background with few, randomly distributed arousal-related phasic events. Recently, some relation between CAP and autonomic function has been preliminarily reported during sleep in young adults by means of spectral analysis of heart rate variability (HRV). The present study was aimed at analysing the effects of CAP on HRV in a group of normal children and adolescents. Six normal children and adolescents (age range 10.0-17.5 y) were included in this study. All-night polygraphic recordings were performed after adaptation to the sleep laboratory. Six 5-min epochs were selected from sleep Stage 2 and six from Stages 3 and 4 (slow-wave sleep), both in CAP and NCAP conditions. From such epochs, a series of parameters describing HRV was then calculated, in both time and frequency domains, on the electrocardiographic R-R intervals. Statistical comparison between CAP and NCAP epochs revealed a significant difference for most of the frequency domain parameters (increase of the low-frequency band, increase of the low-frequency/high-frequency ratio and decrease in the high-frequency band during CAP) both in Stage 2 and in slow-wave sleep. Our results demonstrate that the physiological fluctuations of arousal during sleep described as CAP are accompanied by subtle, but significant, changes in balance between the sympathetic and vagal components of the autonomic system.
Adolescent↗
Automatic detection of cyclic alternating pattern (CAP) sequences in sleep: preliminary results.
OBJECTIVES: The analysis of cyclic alternating pattern (CAP) provides important microstructural information on arousal instability and on EEG synchrony modulation in the sleep process. This work presents a methodology for automatic classification of the micro-organization of human sleep EEG, using the CAP paradigm. METHODS: The classification system is composed of 3 parts: feature extraction, detection and classification. The feature extraction part is an EEG generation model-based maximum likelihood estimator. The detector part for the CAP phases A and B is done by a variable length template matched filter, while the classification criteria part is implemented on a state machine ruled-based decision system. RESULTS AND CONCLUSIONS: The preliminary results of the automatic classifier on a group of 4 middle-aged adults are presented. The high agreement between the detector and visual scoring is very promising in the achievement of a fully automated scoring system, although a more exhaustive evaluation program is needed.
Adult↗
Effect of age on EEG arousals in normal sleep.
EEG arousals were quantified in 40 nocturnal polysomnographic recordings belonging to four age groups (teenagers: 10 to 19 years; young adults: 20 to 39 years; middle-aged: 40 to 59 years; elderly: > or = 60 years). Ten subjects (five males and five females) participated in each group. The subjects were healthy and sound sleepers. All sleep recordings were preceded by an adaptation night which aimed at excluding the presence of sleep-related disorders. The recordings were carried out in a partially soundproof recording chamber and in a standard laboratory setting. Arousal indices (AI), defined as the number of arousals per hour of sleep, were calculated for total sleep time (AI/TST) and for all the sleep stages. AI/TST increased linearly with age (r = 0.852; p < 0.00001): teenagers (13.8), young adults (14.7), middle-aged (17.8), elderly (27.1). An age-related positive linear correlation was found also for the arousal indices referred to NREM sleep (r = 0.811; p < 0.00001) and to stages 1 and 2 (r = 0.712; p < 0.00001), while in stages 3 and 4 and in REM sleep, arousal indices showed stable values across the ages. Overall, arousals lasted 14.9 +/- 2.3 seconds, with arousal duration stable across the ages (range of means: 13.3-16.6 seconds) and no relevant differences between NREM sleep (14.6 +/- 2.5 seconds) and REM sleep (16.2 +/- 5 seconds). The paper discusses the impact of age on arousals, the similarities between arousals and the phases d'activation transitoire, and the consideration that arousals are physiological components of sleep.
Adolescent↗
Cyclic alternating pattern (CAP) in normal sleep: polysomnographic parameters in different age groups.
OBJECTIVES: The present study aimed at offering a standardized database for cyclic alternating pattern (CAP) parameters across representative ages of life. METHODS: CAP parameters were quantified in 40 healthy sleepers and polygraphically investigated in a partially sound-proof recording chamber under a standard laboratory setting. Four age groups were investigated (teenagers: 10-19 years; young adults: 20-39 years; middle-aged: 40-59 years; elderly: 60 years). Each group included 10 subjects (5 males and 5 females). Nocturnal recordings were accomplished after adaptation to the sleep laboratory that also served to rule out the presence of sleep-related disorders. The study indicated that CAP is a natural phenomenon of NREM sleep, with specific age-related characteristics across the life cycle. RESULTS: CAP rate in NREM sleep, defined as the percentage ratio of total CAP time to total NREM sleep time, showed a U-shape profile with minimum in young adults (31.9%), maximum in the elderly group (55.3%), and intermediate values in teenagers (43.4%) and in middle-aged subjects (37.5%). The longest duration of CAP cycles was found among the older subjects (31 s). The highest amounts of subtypes A1 were identified in teenagers (n = 261), while the highest amounts of A2 and A3 subtypes occurred in the elderly group (n = 183). Across the ages, the level of arousal mostly fluctuated in stages 1 and 3, whereas stage 4 emerged as the most stable NREM stage. Overall, stage 2 better reflected the CAP values referred to as total NREM sleep. CONCLUSIONS: The periodic arousal fluctuations reflected by CAP are a natural phenomenon of NREM sleep with specific age-related variations across the life cycle.
Adolescent↗
Sleep bruxism is a disorder related to periodic arousals during sleep.
There is evidence that sleep bruxism is an arousal-related phenomenon. In non-REM sleep, transient arousals recur at 20- to 40-second intervals and are organized according to a cyclic alternating pattern. Polysomnographic recordings from six subjects (two females and four males) affected by sleep bruxism (patients) and six healthy age-and gender-matched volunteers without complaints about sleep (controls) were analyzed to: (1) compare the sleep structure of bruxers with that of non-complaining subjects; and (2) investigate the relations between bruxism episodes and transient arousals. Patients and controls showed no significant differences in conventional sleep variables, but bruxers showed a significantly higher number of the transient arousals characterized by EEG desynchronization. Bruxism episodes were equally distributed between non-REM and REM sleep, but were more frequent in stages 1 and 2 (p < 0.0001) than in slow-wave sleep. The great majority of bruxism episodes detected in non-REM sleep (88%) were associated with the cyclic alternating pattern and always occurred during a transient arousal. Heart rate during the bruxism episodes (69.3+/-18.2) was significantly higher (p < 0.0001) than that during the pre-bruxing period (58.1+/-15.9). Almost 80% of all bruxism episodes were associated with jerks at the anterior tibial muscles. The framework of the cyclic alternating pattern offers a unified interpretation for sleep bruxism and arousal-related phenomena.
Adult↗
Multidrug comparison (lorazepam, triazolam, zolpidem, and zopiclone) in situational insomnia: polysomnographic analysis by means of the cyclic alternating pattern.
Since homogeneous samples of insomniacs are difficult to recruit for pharmacotherapy studies, normal sleepers can be used to assess the protective effect of hypnotic drugs, under standardized nonconducive conditions. In particular, a noisy environment is a typical cause of situational insomnia that can be counteracted by a sedative-hypnotic agent. Six healthy middle-aged subjects (three men and three women), with no complaints about sleep, underwent a completely randomized double-blind series of 10 nocturnal polysomnograms with at least 72-h washout intervals. All subjects received a single dose of placebo, zolpidem 10 mg, zopiclone 7.5 mg, lorazepam 1 mg, and triazolam 0.25 mg both under basal and under perturbed conditions. For each individual, five recordings were carried out under basal conditions (sound pressure level not higher than 30 dB) and five recordings under acoustically perturbed conditions (continuous white noise at 55 dB). Sleep quality was assessed by means of a visual analogue scale (VAS). All recordings were scored according to conventional rules (macro-structure) and cyclic alternating pattern (CAP) methodology (microstructure). Statistical analysis was based on a repeated measures analysis-of-variance design integrated by Bonferroni adjusted probabilities. Under placebo, situational insomnia was confirmed by the significant increase in sleep fragmentation (intrasleep wakefulness) and by the significant enhancement of arousal instability (CAP parameters). In contrast to macrostructural information, CAP parameters were highly sensitive in detecting the perturbing effects of noise (mean CAP rate under placebo, 57%) and the protective action of hypnotic drugs during perturbation (mean CAP rate under active medication, 41%). Microstructural analysis enabled us to discriminate hypnotic drugs from placebo, nonbenzodiazepine compounds from benzodiazepine agents, and zopiclone from zolpidem. The latter, in fact, induced the lowest values of CAP rate both under basal (30%) and under noisy (39%) conditions and determined a significant decrease in electroencephalogram arousals. All CAP parameters were significantly correlated with the visual-analogue-scale scores for sleep quality. The use of CAP methodology in a highly standardized model of situational insomnia can be a valid alternative to conventional sleep scoring for the investigation of drug effects on disturbed sleep.
Adult↗
Sensitivity of cyclic alternating pattern to prolonged pharmacotherapy: a 5-week study evaluating zolpidem in insomniac patients.
To test the effects of a hypnotic drug administered on a regular basis, six adults (four women and two men; mean age 37 years) who complained of transient or short-term insomnia, took zolpidem 10 mg at bedtime for 4 consecutive weeks. The period of active treatment, preceded by a baseline placebo night, ended with a 4-night gradual tapering phase followed by 3 nights of placebo administration. After adaptation to the sleep laboratory, all subjects underwent five polysomnographic recordings; baseline placebo (night 1); 1st, 7th and 28th nights of hypnotic medication (nights 2, 3, and 4 respectively); 3rd placebo night after complete tapering (night 5) and completed a morning visual analogue scale (VAS) for evaluating sleep quality. The sleep recordings were scored according to the conventional procedures (macrostructure) and to the cyclic alternating pattern (CAP) rules (microstructure). Data analysis was based on a repeated-measures analysis of variance integrated by post-hoc comparisons. At the macrostructural level, significant overall modifications (p < 0.035) emerged only from slow-wave sleep (SWS). The amounts of SWS were enhanced along the entire drug period, but a significant difference was found only between the baseline night (10%) and the first night of drug administration (20%). At the microstructural level, CAP rate (the ratio of CAP time to non-rapid eye movement sleep time) showed overall significant variations throughout the entire protocol period (p < 0.0001). Compared with baseline night 1 (59%), the CAP rate was significantly lower on drug nights 2 (32%), 3 (37%), and 4 (38%). The increase in the CAP rate found on night 5 (43%) was still significantly below the baseline value. The VAS scores showed significant overall changes (p < 0.0001), with improved values during the active treatment period.
Adult↗