scholarly journals Assessment of effects of total sleep deprivation and subsequent recovery sleep: a methodological strategy feasible without sleep laboratory

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Cindy Stroemel-Scheder ◽  
Stefan Lautenbacher
Keyword(s):  
Sleep Deprivation ◽  
Slow Wave Sleep ◽  
Successful Implementation ◽  
Experimental Protocol ◽  
Subsequent Recovery ◽  
Total Sleep Deprivation ◽  
Recovery Sleep ◽  
Sleep Parameters ◽  
Sleep Laboratories ◽  
At Home

Abstract Background Sleep is critical for maintaining homeostasis in bodily and neurobehavioral functions. This homeostasis can be disturbed by sleep interruption and restored to normal by subsequent recovery sleep. Most research regarding recovery sleep (RS) effects has been conducted in specialized sleep laboratories, whereas small, less-well equipped research units may lack the possibilities to run studies in this area. Hence, the aims of the present study were to develop and validate an experimental protocol, which allows a thorough assessment of at-home recovery sleep after sleep deprivation. Methods The experimental protocol, comprising one night of baseline sleep (BL) at home, one night of monitored total sleep deprivation and a subsequent recovery night at home, was tested in a sample of 30 healthy participants. Subjects’ fatigue and alertness were assessed prior to and after each night. Sleep at home (BL, RS) was objectively assessed using portable polysomnography. To check whether our at-home sleep assessments yielded results that are comparable to those conducted in sleep laboratories, we compared the sleep data assessed in our study with sleep data assessed in laboratory studies. Results Sleep parameters assessed during RS exhibited changes as expected (prolonged total sleep time, better sleep efficiency, slow wave sleep rebound). Sleep parameters of BL and RS were in line with parameters assessed in previous studies examining sleep in a laboratory setting. Fatigue normalized after one night of RS; alertness partly recovered. Conclusions Our results suggest a successful implementation of our new experimental protocol, emphasizing it as a useful tool for future studies on RS outside of well-equipped sleep laboratories.

008 ARC Genotype Modulates Slow Wave Sleep Following Total Sleep Deprivation

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A4-A4
Author(s):  
Brieann Satterfield ◽  
Darian Lawrence-Sidebottom ◽  
Michelle Schmidt ◽  
Jonathan Wisor ◽  
Hans Van Dongen
Keyword(s):  
Individual Differences ◽  
Sleep Deprivation ◽  
Slow Wave ◽  
Molecular Mechanisms ◽  
Slow Wave Sleep ◽  
Early Gene ◽  
Total Sleep Deprivation ◽  
Recovery Sleep ◽  
Sleep Homeostasis ◽  
Arc Gene

Abstract Introduction The activity-regulated cytoskeleton associated protein (ARC) gene is an immediate early gene that is involved in synaptic plasticity. Recent evidence from a rodent model suggests that Arc may also be involved in sleep homeostasis. However, little is known about the molecular mechanisms regulating the sleep homeostat. In humans, sleep homeostasis is manifested by a marked increase in slow wave sleep (SWS) following acute total sleep deprivation (TSD). There are large, trait individual differences in the magnitude of this SWS rebound effect. We sought to determine whether a single nucleotide polymorphism (SNP) of the ARC gene is associated with individual differences in SWS rebound following TSD. Methods 64 healthy normal sleepers (ages 27.2 ± 4.8y; 32 females) participated in one of two in-laboratory TSD studies. In each study, subjects had a baseline day with 10h sleep opportunity (TIB 22:00–08:00) which was followed by 38h TSD. The studies concluded with 10h recovery sleep opportunity (TIB 22:00–08:00). Baseline and recovery sleep were recorded polysomnographically and scored visually by a trained technician. Genomic DNA was extracted from whole blood. The ARC c.*742 + 58C>T non-coding SNP, rs35900184, was assayed using real-time PCR. Heterozygotes and T/T homozygotes were combined for analysis. The genotype effect on time in SWS was assessed using mixed-effects ANOVA with fixed effects for ARC genotype (C/C vs. T carriers), night (baseline vs. recovery), and their interaction, controlling for study. Results The genotype distribution in this sample – C/C: 41; C/T: 17; T/T: 6 – did not vary significantly from Hardy-Weinberg equilibrium. There was a significant interaction between ARC genotype and night (F1,62=7.27, p=0.009). Following TSD, T allele carriers exhibited 47.6min more SWS compared to baseline, whereas C/C homozygotes exhibited 62.3min more SWS compared to baseline. There was no significant difference in SWS between genotypes at baseline (F1,61=0.69, p=0.41). Conclusion ARC T allele carriers exhibited an attenuated SWS rebound following TSD compared to those homozygous for the C allele. This suggests that the ARC SNP is associated with trait individual differences related to sleep homeostasis, and may thus influence molecular mechanisms involved in long-term memory. Support (if any) ONR N00014-13-1-0302, NIH R21CA167691, and USAMRDC W81XWH-18-1-0100.

scholarly journals Effect of cognitive load and emotional valence of distractors on performance during sleep extension and subsequent sleep deprivation

SLEEP ◽  
2020 ◽  
Vol 43 (8) ◽  
Author(s):  
Sara E Alger ◽  
Allison J Brager ◽  
Thomas J Balkin ◽  
Vincent F Capaldi ◽  
Guido Simonelli
Keyword(s):  
Sleep Deprivation ◽  
Cognitive Load ◽  
Slow Wave Sleep ◽  
Emotional Valence ◽  
Extension Phase ◽  
Total Sleep Deprivation ◽  
Impaired Performance ◽  
Recovery Sleep ◽  
Sleep Debt ◽  
Sleep Extension

Abstract Study Objectives The purpose of the present study was to assess the extent to which sleep extension followed by sleep deprivation impacts performance on an attentional task with varying cognitive and attentional demands that influence decisions. Methods Task performance was assessed at baseline, after 1 week of sleep extension, and after 40 h of total sleep deprivation. Results One week of sleep extension resulted in improved performance, particularly for high cognitive load decisions regardless of the emotional salience of attentional distractors. Those who extended sleep the most relative to their habitual sleep duration showed the greatest improvement in general performance during sleep extension. However, a higher percentage of time spent in slow-wave sleep (SWS) on the last night of the sleep extension phase was negatively correlated with performance on more difficult high cognitive load items, possibly reflecting a relatively higher level of residual sleep need. Sleep deprivation generally resulted in impaired performance, with a nonsignificant trend toward greater performance decrements in the presence of emotionally salient distractors. Performance overall, but specifically for high cognitive load decisions, during total sleep deprivation was negatively correlated with longer sleep and higher SWS percentage during subsequent recovery sleep. Conclusions The present findings suggest two possibilities: those who performed relatively poorly during sleep deprivation were more vulnerable because (1) they utilized mental resources (i.e. accrued sleep debt) at a relatively faster rate during wakefulness, and/or (2) they failed to “pay down” pre-study sleep debt to the same extent as better-performing participants during the preceding sleep extension phase.

Effect of Night Exercise during 27-Hr. Total Sleep Deprivation on the Subsequent Sleep

1985 ◽  
Vol 60 (3) ◽  
pp. 915-924
Author(s):  
Kazuya Matsumoto ◽  
Yoshio Saito ◽  
Kouichi Furumi ◽  
Masao Abe
Keyword(s):  
Sleep Deprivation ◽  
Slow Wave ◽  
Slow Wave Sleep ◽  
Sleep Stage ◽  
Sleep Onset ◽  
Bicycle Ergometer ◽  
Night Sleep ◽  
Total Sleep Deprivation ◽  
Exercise Condition ◽  
Recovery Sleep

This study was designed to determine the effects from loading and nonloading of night physical exercise during 27-hr. total sleep deprivation on the subsequent sleep. Subjects were 6 healthy male students. They cycled on the bicycle ergometer at 50% of VO2 max for 10 min., and then rested for 20 min.; repeated this schedule 14 times during the night (00:00 to 08:00). The standard polysomnograms were recorded during day sleep after exercise and during the following recovery-night sleep. When night exercise was not imposed, the sleep recordings were made during the day sleep (day sleep after no exercise), after the 27-hr. total sleep deprivation and following recovery night sleep. Stage 3 and Stage 4 sleep latencies were significantly shortened in the exercise condition as compared with those on baseline night and the no-exercise condition. The mean amount of slow-wave sleep was in the order of baseline < no exercise < exercise, each increase being significant. Stage 2 sleep, however, significantly decreased. The rectal temperature during sleep was significantly higher in the early half of day sleep after exercise than in that without exercise. The self-rating of the sleep depth and rapidness of sleep onset were only significantly better for both conditions compared with that for baseline night. There were no significant differences on any sleep parameters between the exercise conditions after recovery sleep. Results suggest that the increase in slow-wave sleep during day sleep after night exercise may be ascribed to the effects of both the exercise and the total sleep deprivation. The results support the hypothesis that increase in slow-wave sleep was part of recovery from fatigue.

scholarly journals Residual, differential neurobehavioral deficits linger after multiple recovery nights following chronic sleep restriction or acute total sleep deprivation

SLEEP ◽  
2020 ◽  
Author(s):  
Erika M Yamazaki ◽  
Caroline A Antler ◽  
Charlotte R Lasek ◽  
Namni Goel
Keyword(s):  
Sleep Deprivation ◽  
Response Speed ◽  
Sleep Loss ◽  
Sleep Restriction ◽  
Total Sleep Deprivation ◽  
Psychomotor Vigilance Test ◽  
Recovery Sleep ◽  
Time In Bed ◽  
Neurobehavioral Deficits ◽  
Chronic Sleep

Abstract Study Objectives The amount of recovery sleep needed to fully restore well-established neurobehavioral deficits from sleep loss remains unknown, as does whether the recovery pattern differs across measures after total sleep deprivation (TSD) and chronic sleep restriction (SR). Methods In total, 83 adults received two baseline nights (10–12-hour time in bed [TIB]) followed by five 4-hour TIB SR nights or 36-hour TSD and four recovery nights (R1–R4; 12-hour TIB). Neurobehavioral tests were completed every 2 hours during wakefulness and a Maintenance of Wakefulness Test measured physiological sleepiness. Polysomnography was collected on B2, R1, and R4 nights. Results TSD and SR produced significant deficits in cognitive performance, increases in self-reported sleepiness and fatigue, decreases in vigor, and increases in physiological sleepiness. Neurobehavioral recovery from SR occurred after R1 and was maintained for all measures except Psychomotor Vigilance Test (PVT) lapses and response speed, which failed to completely recover. Neurobehavioral recovery from TSD occurred after R1 and was maintained for all cognitive and self-reported measures, except for vigor. After TSD and SR, R1 recovery sleep was longer and of higher efficiency and better quality than R4 recovery sleep. Conclusions PVT impairments from SR failed to reverse completely; by contrast, vigor did not recover after TSD; all other deficits were reversed after sleep loss. These results suggest that TSD and SR induce sustained, differential biological, physiological, and/or neural changes, which remarkably are not reversed with chronic, long-duration recovery sleep. Our findings have critical implications for the population at large and for military and health professionals.

137 Recovery Dynamics in a Biomathematical Model of Fatigue

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A56-A56
Author(s):  
Mark McCauley ◽  
Peter McCauley ◽  
Hans Van Dongen
Keyword(s):  
Sleep Deprivation ◽  
Goodness Of Fit ◽  
Sleep Loss ◽  
Sleep Restriction ◽  
Commercial Aviation ◽  
Circadian Misalignment ◽  
Total Sleep Deprivation ◽  
Homeostatic Process ◽  
Recovery Sleep

Abstract Introduction In commercial aviation and other operational settings where biomathematical models of fatigue are used for fatigue risk management, accurate prediction of recovery during rest periods following duty periods with sleep loss and/or circadian misalignment is critical. The recuperative potential of recovery sleep is influenced by a variety of factors, including long-term, allostatic effects of prior sleep/wake history. For example, recovery tends to be slower after sustained sleep restriction versus acute total sleep deprivation. Capturing such dynamics has proven to be challenging. Methods Here we focus on the dynamic biomathematical model of McCauley et al. (2013). In addition to a circadian process, this model features differential equations for sleep/wake regulation including a short-term sleep homeostatic process capturing change in the order of hours/days and a long-term allostatic process capturing change in the order of days/weeks. The allostatic process modulates the dynamics of the homeostatic process by shifting its equilibrium setpoint, which addresses recently observed phenomena such as reduced vulnerability to sleep loss after banking sleep. It also differentiates the build-up and recovery rates of fatigue under conditions of chronic sleep restriction versus acute total sleep deprivation; nonetheless, it does not accurately predict the disproportionately rapid recovery seen after total sleep deprivation. To improve the model, we hypothesized that the homeostatic process may also modulate the allostatic process, with the magnitude of this effect scaling as a function of time awake. Results To test our hypothesis, we added a parameter to the model to capture modulation by the homeostatic process of the allostatic process build-up during wakefulness and dissipation during sleep. Parameter estimation using previously published laboratory datasets of fatigue showed this parameter as significantly different from zero (p&lt;0.05) and yielding a 10%–20% improvement in goodness-of-fit for recovery without adversely affecting goodness-of-fit for pre-recovery days. Conclusion Inclusion of a modulation effect of the allostatic process by the homeostatic process improved prediction accuracy in a variety of sleep loss and circadian misalignment scenarios. In addition to operational relevance for duty/rest scheduling, this finding has implications for understanding mechanisms underlying the homeostatic and allostatic processes of sleep/wake regulation. Support (if any) Federal Express Corporation

108 Attentional Control Deficits during Total Sleep Deprivation: Independence from Reduced Vigilant Attention

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A44-A45
Author(s):  
Darian Lawrence-Sidebottom ◽  
John Hinson ◽  
Paul Whitney ◽  
Kimberly Honn ◽  
Hans Van Dongen
Keyword(s):  
Sleep Deprivation ◽  
Attentional Control ◽  
Phase 1 ◽  
Principal Component ◽  
Relative Accuracy ◽  
Target Pair ◽  
Continuous Performance Task ◽  
Total Sleep Deprivation ◽  
Recovery Sleep ◽  
Variance Explained

Abstract Introduction Total sleep deprivation (TSD) has been shown to impair performance on a two-phase attentional control task, the AX-type continuous performance task with switch (AX-CPTs). Here we investigate whether the observed AX-CPTs impairments are a downstream consequence of TSD-induced non-specific effects (e.g., reduced vigilant attention) or reflect a distinct impact on attentional control. Methods N=55 healthy adults (aged 26.0±0.7y; 32 women) participated in a 4-day laboratory study with 10h baseline sleep (22:00-08:00) followed by 38h TSD and then 10h recovery sleep. At baseline (09:00 day 2) and after 25h and 30h TSD (09:00 and 14:00 day 3), subjects were tested on a 10min psychomotor vigilance test (PVT), an assay of vigilant attention, and on the AX-CPTs. The AX-CPTs required subjects to differentiate designated target from non-target cue-probe pairs. In phase 1, target trials occurred frequently, which promoted prepotent anticipatory responses; in phase 2, the target pair was switched. Accuracy of responses to various different AX-CPTs trial types was expressed relative to accuracy on phase 1 neutral (non-target cue and probe) trials, which should capture non-specific impairments on the task. For all three test sessions, these relative accuracy measures, along with accuracy on phase 1 neutral trials and lapses (RT&gt;500ms) on the PVT, were subjected to principal component analysis (PCA). Results The PCA revealed three statistically independent factors. Following varimax rotation, factor 1 (36.3% variance explained) and factor 3 (14.8% variance explained) each had high loadings for relative accuracy on multiple AX-CPTs trial types from phases 1 and 2; whereas factor 2 (17.9% variance explained) had high loadings for accuracy on phase 1 neutral trials, relative accuracy on phase 1 target trials, and PVT lapses. Conclusion These results indicate a statistical separation between AX-CPTs phase 1 neutral trials and phase 1 target trials, in conjunction with PVT lapses, versus the various other AX-CPTs trial types. This suggests a dissociation between TSD-induced, non-specific impairments on the task—potentially related to reduced vigilant attention—and TSD-induced specific impairments related to attentional control. Thus, TSD-induced deficits in attentional control are unlikely to be a downstream consequence of non-specific impairments. Support (if any) CDMRP grant W81XWH-16-1-0319

Impact of Sleep Deprivation and Subsequent Recovery Sleep on Cortisol in Unmedicated Depressed Patients

2004 ◽  
Vol 161 (8) ◽  
pp. 1404-1410 ◽  
Author(s):  
Ulrich Voderholzer ◽  
Fritz Hohagen ◽  
Torsten Klein ◽  
Julia Jungnickel ◽  
Clemens Kirschbaum ◽  
...  
Keyword(s):  
Sleep Deprivation ◽  
Subsequent Recovery ◽  
Depressed Patients ◽  
Recovery Sleep

scholarly journals Autonomic Modulation During Baseline and Recovery Sleep in Adult Sleepwalkers

2021 ◽  
Vol 12 ◽  
Author(s):  
Geneviève Scavone ◽  
Andrée-Ann Baril ◽  
Jacques Montplaisir ◽  
Julie Carrier ◽  
Alex Desautels ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Deprivation ◽  
Slow Wave ◽  
Slow Wave Sleep ◽  
Low Frequency ◽  
Medium Effect ◽  
Sleep Cycle ◽  
Autonomic Modulation ◽  
Decomposition Group ◽  
Recovery Sleep

Sleepwalking has been conceptualized as deregulation between slow-wave sleep and arousal, with its occurrence in predisposed patients increasing following sleep deprivation. Recent evidence showed autonomic changes before arousals and somnambulistic episodes, suggesting that autonomic dysfunctions may contribute to the pathophysiology of sleepwalking. We investigated cardiac autonomic modulation during slow-wave sleep in sleepwalkers and controls during normal and recovery sleep following sleep deprivation. Fourteen adult sleepwalkers (5M; 28.1 ± 5.8 years) and 14 sex- and age-matched normal controls were evaluated by video-polysomnography for one baseline night and during recovery sleep following 25 h of sleep deprivation. Autonomic modulation was investigated with heart rate variability during participants' slow-wave sleep in their first and second sleep cycles. 5-min electrocardiographic segments from slow-wave sleep were analyzed to investigate low-frequency (LF) and high-frequency (HF) components of heart rate spectral decomposition. Group (sleepwalkers, controls) X condition (baseline, recovery) ANOVAs were performed to compare LF and HF in absolute and normalized units (nLF and nHF), and LF/HF ratio. When compared to controls, sleepwalkers' recovery slow-wave sleep showed lower LF/HF ratio and higher nHF during the first sleep cycle. In fact, compared to baseline recordings, sleepwalkers, but not controls, showed a significant decrease in nLF and LF/HF ratio as well as increased nHF during recovery slow-wave sleep during the first cycle. Although non-significant, similar findings with medium effect sizes were observed for absolute values (LF, HF). Patterns of autonomic modulation during sleepwalkers' recovery slow-wave sleep suggest parasympathetic dominance as compared to baseline sleep values and to controls. This parasympathetic predominance may be a marker of abnormal neural mechanisms underlying, or interfere with, the arousal processes and contribute to the pathophysiology of sleepwalking.

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