scholarly journals Suvorexant improves intractable nocturnal enuresis by altering sleep architecture

2021 ◽  
Vol 14 (3) ◽  
pp. e239621
Author(s):  
Tohru Matsumoto
Keyword(s):  
Receptor Antagonist ◽  
Eye Movement ◽  
Rem Sleep ◽  
Treatment Strategy ◽  
Nocturnal Enuresis ◽  
Sleep Architecture ◽  
Rapid Eye Movement

Little is known about sleep-based approaches to the treatment of nocturnal enuresis (NE). This report is the first to describe the successful use of suvorexant, an orexin receptor antagonist, in a 12-year-old boy with intractable NE. With suvorexant, the frequency of NE gradually decreased from 14 of 14 days (100%) to 5 of 14 days (35.7%). Sleep polysomnography indicated that rapid eye movement (REM) sleep increased from 101.5 min (19.9%) before suvorexant to 122.1 min (24.9%) with suvorexant. Furthermore, N2 increased from 233 min (45.6%) to 287.5 min (58.7%) during non-REM sleep. In contrast, N3 decreased from 160 min (31.3%) to 65 min (13.3%) during non-REM sleep. Suvorexant appeared to lighten the depth of sleep and alter sleep architecture. Although the application of an insomnia medication for treating NE seems paradoxical, suvorexant reduced the frequency of NE in patients with severe intractable NE. Thus, this treatment strategy warrants further examination.

Abstract P417: Relationship Between Blood Pressure Variability and Sleep Architecture

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Xiaoyue Liu ◽  
Jeongok G Logan ◽  
Younghoon Kwon ◽  
Jennifer Lobo ◽  
Hyojung Kang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Eye Movement ◽  
Rem Sleep ◽  
Sleep Time ◽  
Sleep Architecture ◽  
Sleep Stages ◽  
Apnea Hypopnea Index ◽  
Rapid Eye Movement ◽  
Sleep Studies ◽  
The Relationship

Introduction: Blood pressure (BP) variability (BPV) is a novel marker for cardiovascular disease (CVD) independent of high BP. Sleep architecture represents the structured pattern of sleep stages consisting of rapid eye movement (REM) and non-rapid eye movement (NREM), and it is an important element in the homeostatic regulation of sleep. Currently, little is known regarding whether BPV is linked to sleep stages. Our study aimed to examine the relationship between sleep architecture and BPV. Methods: We analyzed in-lab polysomnographic studies collected from individuals who underwent diagnostic sleep studies at a university hospital from 2010 to 2017. BP measures obtained during one year prior to the sleep studies were included. BPV was computed using the coefficient of variation for all individuals who had three or more systolic and diastolic BP data. We conducted linear regression analysis to assess the relationship of systolic BPV (SBPV) and diastolic BPV (DBPV) with the sleep stage distribution (REM and NREM sleep time), respectively. Covariates that can potentially confound the relationships were adjusted in the models, including age, sex, race/ethnicity, body mass index, total sleep time, apnea-hypopnea index, mean BP, and history of medication use (antipsychotics, antidepressants, and antihypertensives) during the past two years before the sleep studies. Results: Our sample (N=3,565; male = 1,353) was racially and ethnically diverse, with a mean age 54 ± 15 years and a mean BP of 131/76 ± 13.9/8.4 mmHg. Among the sleep architecture measures examined, SBPV showed an inverse relationship with REM sleep time after controlling for all covariates ( p = .033). We subsequently categorized SBPV into four quartiles and found that the 3 rd quartile (mean SBP SD = 14.9 ± 2.1 mmHg) had 3.3 fewer minutes in REM sleep compared to the 1 st quartile ( p = .02). However, we did not observe any relationship between DBPV and sleep architecture. Conclusion: Greater SBPV was associated with lower REM sleep time. This finding suggests a possible interplay between BPV and sleep architecture. Future investigation is warranted to clarify the directionality, mechanism, and therapeutic implications.

Effect of sleep deprivation on responses to airway obstruction in the sleeping dog

1994 ◽  
Vol 77 (4) ◽  
pp. 1811-1818 ◽  
Author(s):  
C. P. O'Donnell ◽  
E. D. King ◽  
A. R. Schwartz ◽  
P. L. Smith ◽  
J. L. Robotham
Keyword(s):  
Sleep Deprivation ◽  
Airway Obstruction ◽  
Eye Movement ◽  
Rem Sleep ◽  
Recovery Period ◽  
Sleep Time ◽  
Inspiratory Effort ◽  
Sleep Architecture ◽  
Rapid Eye Movement ◽  
Obstructive Sleep

The effect of sleep deprivation on sleep architecture and respiratory responses to repetitive airway obstruction during sleep was investigated in four chronically instrumented tracheostomized dogs during 12-h nocturnal experiments. A 24-h period of prior sleep deprivation increased (P < 0.05) the rate at which airway obstruction could be induced from 20 +/- 3 (SE) to 37 +/- 10 times/h compared with non-sleep-deprived dogs. During non-rapid-eye-movement sleep the duration of obstruction, minimum arterial hemoglobin saturation, and peak negative inspiratory effort at arousal were 20.5 +/- 1.0 s, 91.7 +/- 0.5%, and 28.4 +/- 1.8 mmHg, respectively, in non-sleep-deprived dogs. Sleep deprivation increased (P < 0.01) the duration of obstruction to 28.0 +/- 0.9 s, worsened (P < 0.05) the minimal arterial hemoglobin desaturation to 85.4 + 3.1%, and increased (P < 0.025) the peak negative inspiratory effort at arousal to 36.1 +/- 1.6 mmHg. Sleep deprivation also caused increases (P < 0.025) in total sleep time, rapid-eye-movement (REM) sleep time, and percentage of time in REM sleep in a 2-h recovery period without airway obstruction at the end of the study. We conclude that airway obstruction in the sleeping dog can reproduce the disturbances in sleep architecture and respiration that occur in obstructive sleep apnea and that prior sleep deprivation will increase apnea severity, degree of somnolence, and REM sleep rebound independent of change in upper airway collapsibility.

scholarly journals 0319 Sleep Architecture and Neurocognitive and Behavioral Functioning in Youth from the General Population

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A121-A121
Author(s):  
A Ricci ◽  
J Fang ◽  
F He ◽  
P Cain ◽  
S L Calhoun ◽  
...  
Keyword(s):  
Eye Movement ◽  
Rem Sleep ◽  
Cognitive Functions ◽  
Internalizing Symptoms ◽  
Behavioral Outcomes ◽  
Nrem Sleep ◽  
Adolescent Females ◽  
Sleep Architecture ◽  
Rapid Eye Movement ◽  
Negatively Associated

Abstract Introduction The transition from childhood to adolescence is critical for the onset of psychopathology and reflects significant changes in the sleeping brain. Sleep deprivation studies have shown that rapid eye movement (REM) and non-rapid eye movement (NREM) sleep are differentially involved in specific cognitive functions. The aim of this study was to examine the association of sleep architecture with neurobehavioral outcomes in a population-based sample. Methods We studied 700 children (5-12y, 47.1% female, 23.7% minority) and 421 adolescents (12-23y, 46.1% female, 21.8% minority) from the Penn State Child Cohort. All subjects underwent a 9-hour polysomnography and a 4-hour neurobehavioral evaluation. Neurocognitive outcomes included the Stroop test, digit span backwards (DSB), and coding to measure high- and low-order cognitive functions. Behavioral outcomes included the Child/Adult Behavior Checklist to measure internalizing symptoms and externalizing behaviors. Correlation analysis examined the cross-sectional association between sleep architecture and neurocognitive and behavioral outcomes. Results In childhood, %REM sleep was negatively associated with DSB scores (r=-0.088, p=0.027), particularly in males (r=-0.167, p=0.002). Furthermore, %NREM sleep was positively associated with DSB scores in males (r=0.126, p=0.021). In adolescent females, %NREM and %REM sleep were positively (r=0.146, p=0.044) and negatively (r=-0.158, p=0.029) associated with DSB scores, respectively. In adolescence, %NREM sleep was negatively associated with internalizing symptoms (r=-0.109, p=0.026). Conclusion Male children and female adolescents who spent a higher proportion of the night in NREM sleep had better working memory performance. Adolescent females who spent a lower proportion of the night in NREM sleep had greater internalizing symptoms. This study suggests a role for sleep architecture in neurobehavioral deficits in youth. Future studies are necessary to determine the contributions of low- and high-frequency sleep EEG dynamics to these clinical outcomes. Support National Institutes of Health (R01MH118308, R01HL97165, R01HL63772, UL1TR000127)

Benzodiazepines and Sleep Architecture: a Systematic Review.

2021 ◽  
Vol 20 ◽  
Author(s):  
Felipe Maraucci Ribeiro de Mendonça ◽  
Giulia Paulo Rossi Ribeiro de Mendonça ◽  
Laura Costa Souza ◽  
Lucas Pequeno Galvão ◽  
Henrique Soares Paiva ◽  
...  
Keyword(s):  
Systematic Review ◽  
Eye Movement ◽  
Rem Sleep ◽  
Nrem Sleep ◽  
Sleep Architecture ◽  
Professional Judgment ◽  
Rapid Eye Movement ◽  
Two Phases ◽  
Physiological Sleep

Background: Insomnia, defined as a difficulty in initiating or maintaining sleep, is a relevant medical issue. Benzodiazepines (BZDs) are commonly prescribed to treat insomnia. Two phases characterize human sleep structure: sleep with Non-Rapid Eye Movement (NREM) and sleep with Rapid Eye Movement (REM). Physiological sleep includes NREM and REM phases in a continuous cycle known as “Sleep Architecture.” Objective: This systematic review summarizes the studies that investigated BZDs changes on Sleep Architecture. Methods: The article’s selection included human clinical trials (in English, Portuguese, or Spanish) only, specifically focused on BZDs effects on sleep architecture. PubMed, BVS, and GoogleScholar databases were searched. Results: Findings on BZDs effects on sleep architecture confirm an increase in stage 2 of NREM sleep and a decrease in time of stages 3 and 4 of NREM sleep with a reduction in time of REM sleep during the nocturnal sleep. Conclusion: Variations in NREM and REM sleep may lead to deficits in concentration and working memory, and weight gain. The increase in stage 2 of NREM sleep may lead to a subjective improvement of sleep quality with no awakenings. BZDz should be prescribed with zeal and professional judgment. These patients should be closely monitored for possible long-term side effects.

scholarly journals The Relationship Between Daily Rapid-Eye Movement Sleep and Cognitive Functioning in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 159-159
Author(s):  
Tiana Broen ◽  
Tomiko Yoneda ◽  
Jonathan Rush ◽  
Jamie Knight ◽  
Nathan Lewis ◽  
...  
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Cognitive Functioning ◽  
Eye Movement ◽  
Rem Sleep ◽  
Cognitive Tests ◽  
Rapid Eye Movement ◽  
Targeted Interventions ◽  
The Impact ◽  
The Relationship

Abstract Previous cross-sectional research suggests that age-related decreases in Rapid-Eye Movement (REM) sleep may contribute to poorer cognitive functioning (CF); however, few studies have examined the relationship at the intraindividual level by measuring habitual sleep over multiple days. Applying a 14-day daily diary design, the current study examines the dynamic relationship between REM sleep and CF in 69 healthy older adults (M age=70.8 years, SD=3.37; 73.9% female; 66.6% completed at least an undergraduate degree). A Fitbit device provided actigraphy indices of REM sleep (minutes and percentage of total sleep time), while CF was measured four times daily on a smartphone via ambulatory cognitive tests that captured processing speed and working memory. This research addressed the following questions: At the within-person level, are fluctuations in quantity of REM sleep associated with fluctuations in next day cognitive measures across days? Do individuals who spend more time in REM sleep on average, perform better on cognitive tests than adults who spend less time in REM sleep? A series of multilevel models were fit to examine the extent to which each index of sleep accounted for daily fluctuations in performance on next day cognitive tests. Results indicated that during nights when individuals had more REM sleep minutes than was typical, they performed better on the working memory task the next morning (estimate = -.003, SE = .002, p = .02). These results highlight the impact of REM sleep on CF, and further research may allow for targeted interventions for earlier treatment of sleep-related cognitive impairment.

Sleep Disorders

2015 ◽  
Author(s):  
Sudhansu Chokroverty
Keyword(s):  
Sleep Apnea ◽  
Sleep Disorders ◽  
Eye Movement ◽  
Rem Sleep ◽  
Sleep Apnea Syndrome ◽  
Nrem Sleep ◽  
Rapid Eye Movement ◽  
Circadian Rhythm Sleep Disorders ◽  
Apnea Syndrome ◽  
Sleep Mechanism

Recent research has generated an enormous fund of knowledge about the neurobiology of sleep and wakefulness. Sleeping and waking brain circuits can now be studied by sophisticated neuroimaging techniques that map different areas of the brain during different sleep states and stages. Although the exact biologic functions of sleep are not known, sleep is essential, and sleep deprivation leads to impaired attention and decreased performance. Sleep is also believed to have restorative, conservative, adaptive, thermoregulatory, and consolidative functions. This review discusses the physiology of sleep, including its two independent states, rapid eye movement (REM) and non–rapid eye movement (NREM) sleep, as well as functional neuroanatomy, physiologic changes during sleep, and circadian rhythms. The classification and diagnosis of sleep disorders are discussed generally. The diagnosis and treatment of the following disorders are described: obstructive sleep apnea syndrome, narcolepsy-cataplexy sydrome, idiopathic hypersomnia, restless legs syndrome (RLS) and periodic limb movements in sleep, circadian rhythm sleep disorders, insomnias, nocturnal frontal lobe epilepsy, and parasomnias. Sleep-related movement disorders and the relationship between sleep and psychiatric disorders are also discussed. Tables describe behavioral and physiologic characteristics of states of awareness, the international classification of sleep disorders, common sleep complaints, comorbid insomnia disorders, causes of excessive daytime somnolence, laboratory tests to assess sleep disorders, essential diagnostic criteria for RLS and Willis-Ekbom disease, and drug therapy for insomnia. Figures include polysomnographic recording showing wakefulness in an adult; stage 1, 2, and 3 NREM sleep in an adult; REM sleep in an adult; a patient with sleep apnea syndrome; a patient with Cheyne-Stokes breathing; a patient with RLS; and a patient with dream-enacting behavior; schematic sagittal section of the brainstem of the cat; schematic diagram of the McCarley-Hobson model of REM sleep mechanism; the Lu-Saper “flip-flop” model; the Luppi model to explain REM sleep mechanism; and a wrist actigraph from a man with bipolar disorder. This review contains 14 highly rendered figures, 8 tables, 115 references, and 5 MCQs.

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