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Dutil C, De Pieri J, Sadler CM, Maslovat D, Chaput JP, Carlsen AN. Chronic short sleep duration lengthens reaction time, but the deficit is not associated with motor preparation. J Sleep Res 2024:e14231. [PMID: 38782723 DOI: 10.1111/jsr.14231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/27/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024]
Abstract
The purpose of this study was to investigate the association between chronic sleep duration and reaction time performance and motor preparation during a simple reaction time task with a startling acoustic stimulus in adults. This cross-sectional study included self-reported short sleepers (n = 25, ≤ 6 hr per night) and adequate sleepers (n = 25, ≥ 7.5 hr per night) who performed a simple reaction time task requiring a targeted ballistic wrist extension in response to either a control-tone (80 dB) or a startling acoustic stimulus (120 dB). Outcome measures included reaction times for each stimulus (overall and for each trial block), lapses, and proportion of startle responses. Chronic short sleepers slept on average 5.7 hr per night in the previous month, which was 2.8 hr per night less than the adequate sleepers. Results revealed an interaction between sleep duration group and stimulus type; the short sleepers had significantly slower control-tone reaction times compared with adequate sleepers, but there was no significant difference in reaction time between groups for the startling acoustic stimulus. Further investigation showed that chronic short sleepers had significantly slower control-tone reaction times after two blocks of trials lasting about 5 min, until the end of the task. Lapses were not significantly different between groups. Chronic short sleep duration was associated with poorer performance; however, these reaction time deficits cannot be attributed to motor preparation, as startling acoustic stimulus reaction times were not different between sleep duration groups. While time-on-task performance decrements were associated with chronic sleep duration, alertness was not. Sleeping less than the recommended sleep duration on a regular basis is associated with poorer cognitive performance, which becomes evident after 5 min.
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Affiliation(s)
- Caroline Dutil
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Julia De Pieri
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Christin M Sadler
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Dana Maslovat
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Jean-Philippe Chaput
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Anthony N Carlsen
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
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Martin VP, Gauld C, Taillard J, Peter-Derex L, Lopez R, Micoulaud-Franchi JA. Sleepiness should be reinvestigated through the lens of clinical neurophysiology: A mixed expertal and big-data Natural Language Processing approach. Neurophysiol Clin 2024; 54:102937. [PMID: 38401240 DOI: 10.1016/j.neucli.2023.102937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 02/26/2024] Open
Abstract
Historically, the field of sleep medicine has revolved around electrophysiological tools. However, the use of these tools as a neurophysiological method of investigation seems to be underrepresented today, from both international recommendations and sleep centers, in contrast to behavioral and psychometric tools. The aim of this article is to combine a data-driven approach and neurophysiological and sleep medicine expertise to confirm or refute the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness, despite the use of electrophysiological tools. Using Natural Language Processing methods, we analyzed the abstracts of the 18,370 articles indexed by PubMed containing the terms 'sleepiness' or 'sleepy' in the title, abstract, or keywords. For this purpose, we examined these abstracts using two methods: a lexical network, enabling the identification of concepts (neurophysiological or clinical) related to sleepiness in these articles and their interconnections; furthermore, we analyzed the temporal evolution of these concepts to extract historical trends. These results confirm the hypothesis that neurophysiology has declined in favor of behavioral or self-reported dimensions in sleep medicine for the investigation of sleepiness. In order to bring sleepiness measurements closer to brain functioning and to reintroduce neurophysiology into sleep medicine, we discuss two strategies: the first is reanalyzing electrophysiological signals collected during the standard sleep electrophysiological test; the second takes advantage of the current trend towards dimensional models of sleepiness to situate clinical neurophysiology at the heart of the redefinition of sleepiness.
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Affiliation(s)
- Vincent P Martin
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg; Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400 Talence, France; Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France
| | - Christophe Gauld
- Service Psychopathologie du Développement de l'Enfant et de l'Adolescent, Hospices Civils de Lyon & Université de Lyon 1, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, France
| | - Jacques Taillard
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France
| | - Laure Peter-Derex
- Lyon Neuroscience Research Centre, INSERM U1028, CNRS UMR 5292, Lyon, France; Centre for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - Régis Lopez
- National Reference Centre for Orphan Diseases, Narcolepsy-Rare hypersomnias, Sleep Unit, Department of Neurology, CHU de Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, Inserm, Montpellier, France
| | - Jean-Arthur Micoulaud-Franchi
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France; University Sleep Clinic, University Hospital of Bordeaux, Place Amélie Raba-Leon, 33 076 Bordeaux, France.
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3
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Schoch SF, Jaramillo V, Markovic A, Huber R, Kohler M, Jenni OG, Lustenberger C, Kurth S. Bedtime to the brain: how infants' sleep behaviours intertwine with non-rapid eye movement sleep electroencephalography features. J Sleep Res 2024; 33:e13936. [PMID: 37217191 DOI: 10.1111/jsr.13936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/24/2023] [Accepted: 05/02/2023] [Indexed: 05/24/2023]
Abstract
Adequate sleep is critical for development and facilitates the maturation of the neurophysiological circuitries at the basis of cognitive and behavioural function. Observational research has associated early life sleep problems with worse later cognitive, psychosocial, and somatic health outcomes. Yet, the extent to which day-to-day sleep behaviours (e.g., duration, regularity) in early life relate to non-rapid eye movement (NREM) neurophysiology-acutely and the long-term-remains to be studied. We measured sleep behaviours in 32 healthy 6-month-olds assessed with actimetry and neurophysiology with high-density electroencephalography (EEG) to investigate the association between NREM sleep and habitual sleep behaviours. Our study revealed four findings: first, daytime sleep behaviours are related to EEG slow-wave activity (SWA). Second, night-time movement and awakenings from sleep are connected with spindle density. Third, habitual sleep timing is linked to neurophysiological connectivity quantified as delta coherence. And lastly, delta coherence at 6 months predicts night-time sleep duration at 12 months. These novel findings widen our understanding that infants' sleep behaviours are closely intertwined with three particular levels of neurophysiology: sleep pressure (determined by SWA), the maturation of the thalamocortical system (spindles), and the maturation of cortical connectivity (coherence). The crucial next step is to extend this concept to clinical groups to objectively characterise infants' sleep behaviours 'at risk' that foster later neurodevelopmental problems.
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Affiliation(s)
- Sarah F Schoch
- Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Valeria Jaramillo
- Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
- Child Development Center, University Children's Hospital Zürich, Zürich, Switzerland
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
- Neuromodulation Laboratory, School of Psychology, University of Surrey, Guildford, UK
| | - Andjela Markovic
- Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland
- Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Reto Huber
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
- Child Development Center, University Children's Hospital Zürich, Zürich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
| | - Malcolm Kohler
- Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
| | - Oskar G Jenni
- Child Development Center, University Children's Hospital Zürich, Zürich, Switzerland
- Children's Research Center, University Children's Hospital Zürich, University of Zürich (UZH), Zürich, Switzerland
| | - Caroline Lustenberger
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Salome Kurth
- Department of Pulmonology, University Hospital Zürich, Zürich, Switzerland
- Center of Competence Sleep and Health Zürich, University of Zürich, Zürich, Switzerland
- Department of Psychology, University of Fribourg, Fribourg, Switzerland
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Banks S, Jones CW, McCauley ME, Dorrian J, Basner M, Maislin G, Van Dongen HPA, Dinges DF. Long-term influence of sleep/wake history on the dynamic neurobehavioural response to sustained sleep restriction. J Sleep Res 2023:e14117. [PMID: 38059385 PMCID: PMC11156797 DOI: 10.1111/jsr.14117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/01/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023]
Abstract
Chronic sleep restriction, common in today's 24/7 society, causes cumulative neurobehavioural impairment, but the dynamics of the build-up and dissipation of this impairment have not been fully elucidated. We addressed this knowledge gap in a laboratory study involving two, 5-day periods of sleep restriction to 4 hr per day, separated by a 1-day dose-response intervention sleep opportunity. We measured sleep physiological and waking neurobehavioural responses in 70 healthy adults, each randomized to one of seven dose-response intervention sleep doses ranging from 0 to 12 hr, or a non-sleep-restricted control group. As anticipated, sleep physiological markers showed homeostatic dynamics throughout the study, and waking neurobehavioural impairment accumulated across the two sleep restriction periods. Unexpectedly, there was only a slight and short-lived effect of the 1-day dose-response intervention sleep opportunity. Whether the dose-response intervention sleep opportunity involved extension, further restriction or total deprivation of sleep, neurobehavioural functioning during the subsequent second sleep restriction period was dominated by prior sleep-wake history. Our findings revealed a profound and enduring influence of long-term sleep-wake history as a fundamental aspect of the dynamic regulation of the neurobehavioural response to sleep loss.
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Affiliation(s)
- Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Christopher W. Jones
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark E. McCauley
- Sleep and Performance Research Center and Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington, USA
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Mathias Basner
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Greg Maislin
- Biomedical Statistical Consulting, Wynnewood, Pennsylvania, USA
| | - Hans P. A. Van Dongen
- Sleep and Performance Research Center and Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington, USA
| | - David F. Dinges
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Lins-Filho ODL, Andrade-Lima A, Torres AD, Oliveira LM, Luiz do-Prado W, Ritti-Dias R, Christofaro DGD, Farah BQ. Association between Sleep Quality and Cardiac Autonomic Modulation in Adolescents: A Cross Sectional Study. Sleep Sci 2023; 16:e462-e467. [PMID: 38197026 PMCID: PMC10773521 DOI: 10.1055/s-0043-1776750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 04/06/2023] [Indexed: 01/11/2024] Open
Abstract
Objective To analyze the impact of sleep quality/duration on cardiac autonomic modulation on physically active adolescents with obesity. Materials and Methods The present cross-sectional study included 1,150 boys with a mean age of 16.6 ± 1.2 years. The assessment of cardiac functions included the frequency domain of heart rate variability (HRV; low frequency - LF; high frequency - HF; and the ratio between these bands -LF/HF -, defined as the sympathovagal balance), and each parameter was categorized as low / high . Physical activity levels and sleep quality/duration were obtained by questionnaires. Abdominal obesity was assessed and defined as waist circumference > 80 th percentile. Results Poor sleep quality resulted in lower HF (odds ratio [OR]: 1.8; 95% confidence interval [95%CI]: 1.01-3.21]) regardless of physical activity and abdominal obesity. Moreover, the study found no association between sleep duration and HRV parameters in adolescents. Conclusion Sleep quality, not sleep duration, reduces parasympathetic cardiac modulation apart from other factors such as physical activity and abdominal obesity in adolescents.
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Affiliation(s)
- Ozeas de Lima Lins-Filho
- Department of Medicine, Post-Graduate Program in Health Sciences, Universidade de Pernambuco, Recife, PE, Brazil
| | - Aluisio Andrade-Lima
- Department of Physical Education, Universidade Federal do Sergipe, Aracaju, SE, Brazil
| | - Auguste Daniel Torres
- Department of Kinesiology, California State University, San Bernardino, San Bernardino, CA, United States of America
| | - Luciano Machado Oliveira
- Post-Graduate Program in Physical Education, Department of Physical Education, Universidade Federal de Pernambuco, Recife, PE, Brazil
- Post-graduate programa in Nutrition, Physical Activity, and Phenotypic Plasticity, Department of Physical Education, Centro Acadêmico de Vitória, Universidade Federal de Pernambuco, Vitória de Santo Antão, PE, Brazil
| | - Wagner Luiz do-Prado
- Department of Kinesiology, California State University, San Bernardino, San Bernardino, CA, United States of America
| | - Raphael Ritti-Dias
- Post-Graduate Program in Rehabilitation Sciences, Department of Physical Education, Universidade Nove de Julho, São Paulo, SP, Brazil
| | | | - Breno Quintella Farah
- Post-Graduate Program in Physical Education, Department of Physical Education, Universidade Federal de Pernambuco, Recife, PE, Brazil
- Department of Physical Education, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil
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6
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Kishi A, Van Dongen HPA. Phenotypic Interindividual Differences in the Dynamic Structure of Sleep in Healthy Young Adults. Nat Sci Sleep 2023; 15:465-476. [PMID: 37388963 PMCID: PMC10305769 DOI: 10.2147/nss.s392038] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 05/29/2023] [Indexed: 07/01/2023] Open
Abstract
Introduction Evaluating the dynamic structure of sleep may yield new insights into the mechanisms underlying human sleep physiology. Methods We analyzed data from a 12-day, 11-night, strictly controlled laboratory study with an adaptation night, 3 iterations of a baseline night followed by a recovery night after 36 h of total sleep deprivation, and a final recovery night. All sleep opportunities were 12 h in duration (22:00-10:00) and recorded with polysomnography (PSG). The PSG records were scored for the sleep stages: rapid eye movement (REM) sleep; non-REM (NREM) stage 1 sleep (S1), stage 2 sleep (S2), and slow wave sleep (SWS); and wake (W). Phenotypic interindividual differences were assessed using indices of dynamic sleep structure - specifically sleep stage transitions and sleep cycle characteristics - and intraclass correlation coefficients across nights. Results NREM/REM sleep cycles and sleep stage transitions exhibited substantial and stable interindividual differences that were robust across baseline and recovery nights, suggesting that mechanisms underlying the dynamic structure of sleep are phenotypic. In addition, the dynamics of sleep stage transitions were found to be associated with sleep cycle characteristics, with a significant relationship between the length of sleep cycles and the degree to which S2-to-W/S1 and S2-to-SWS transitions were in equilibrium. Discussion Our findings are consistent with a model for the underlying mechanisms that involves three subsystems - characterized by S2-to-W/S1, S2-to-SWS, and S2-to-REM transitions - with S2 playing a hub-like role. Furthermore, the balance between the two subsystems within NREM sleep (S2-to-W/S1 and S2-to-SWS) may serve as a basis for the dynamic regulation of sleep structure and may represent a novel target for interventions aiming to improve sleep.
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Affiliation(s)
- Akifumi Kishi
- Graduate School of Education, The University of Tokyo, Tokyo, Japan
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Japan Science and Technology Agency, PRESTO, Saitama, Japan
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Department of Translational Medicine and Physiology, Washington State University, Spokane, WA, USA
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Athanasouli C, Kalmbach K, Booth V, Diniz Behn CG. NREM-REM alternation complicates transitions from napping to non-napping behavior in a three-state model of sleep-wake regulation. Math Biosci 2023; 355:108929. [PMID: 36448821 DOI: 10.1016/j.mbs.2022.108929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
The temporal structure of human sleep changes across development as it consolidates from the polyphasic sleep of infants to the single nighttime sleep episode typical in adults. Experimental studies have shown that changes in the dynamics of sleep need may mediate this developmental transition in sleep patterning, however, it is unknown how sleep architecture interacts with these changes. We employ a physiologically-based mathematical model that generates wake, rapid eye movement (REM) and non-REM (NREM) sleep states to investigate how NREM-REM alternation affects the transition in sleep patterns as the dynamics of the homeostatic sleep drive are varied. To study the mechanisms producing these transitions, we analyze the bifurcations of numerically-computed circle maps that represent key dynamics of the full sleep-wake network model by tracking the evolution of sleep onsets across different circadian (∼ 24 h) phases. The maps are non-monotonic and discontinuous, being composed of branches that correspond to sleep-wake cycles containing distinct numbers of REM bouts. As the rates of accumulation and decay of the homeostatic sleep drive are varied, we identify the bifurcations that disrupt a period-adding-like behavior of sleep patterns in the transition between biphasic and monophasic sleep. These bifurcations include border collision and saddle-node bifurcations that initiate new sleep patterns, period-doubling bifurcations leading to higher-order patterns of NREM-REM alternation, and intervals of bistability of sleep patterns with different NREM-REM alternations. Furthermore, patterns of NREM-REM alternation exhibit variable behaviors in different regimes of constant sleep-wake patterns. Overall, the sequence of sleep-wake behaviors, and underlying bifurcations, in the transition from biphasic to monophasic sleep in this three-state model is more complex than behavior observed in models of sleep-wake regulation that do not consider the dynamics of NREM-REM alternation. These results suggest that interactions between the dynamics of the homeostatic sleep drive and the dynamics of NREM-REM alternation may contribute to the wide interindividual variation observed when young children transition from napping to non-napping behavior.
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Affiliation(s)
- Christina Athanasouli
- Department of Mathematics University of Michigan, 530 Church Street, Ann Arbor, MI, 48109, USA.
| | - Kelsey Kalmbach
- Department of Applied Mathematics and Statistics Colorado School of Mines, 1500 Illinois Street, Golden, 80401, CO, USA.
| | - Victoria Booth
- Department of Mathematics University of Michigan, 530 Church Street, Ann Arbor, MI, 48109, USA; Department of Anesthesiology, University of Michigan, 1500 E Medical Center Drive, Ann Arbor, 48109-5048, MI, USA.
| | - Cecilia G Diniz Behn
- Department of Applied Mathematics and Statistics Colorado School of Mines, 1500 Illinois Street, Golden, 80401, CO, USA; Department of Pediatrics, University of Colorado Anschutz Medical Campus, 13001 East 17th Place, Aurora, 80045, CO, USA.
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Utsumi T, Yoshiike T, Kaneita Y, Aritake-Okada S, Matsui K, Nagao K, Saitoh K, Otsuki R, Shigeta M, Suzuki M, Kuriyama K. The association between subjective-objective discrepancies in sleep duration and mortality in older men. Sci Rep 2022; 12:18650. [PMID: 36333394 PMCID: PMC9636161 DOI: 10.1038/s41598-022-22065-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
A discrepancy in subjective and objective estimations of sleep duration, which often diverge, could have long-term adverse effects on health outcomes in older adults. Using data from 2674 older adult men (≥ 65 years of age) of the Osteoporotic Fractures in Men Sleep Study, we assessed the longitudinal association between misperception index (MI), calculated as MI = (objective sleep duration - subjective sleep duration)/objective sleep duration, and all-cause mortality. During the follow-up with a mean (standard deviation) of 10.8 (4.2) years, 1596 deaths were observed. As a continuous variable, MI showed a linear relationship with all-cause mortality after adjusting for multiple covariates, including polysomnography-measured objective sleep duration [fully adjusted hazard ratio (HR), 0.69; 95% confidence interval [CI], 0.56-0.84]. As a categorical variable, the lowest MI quartile (vs. the interquartile MI range) was associated with increased mortality (fully adjusted HR, 1.28; 95% CI, 1.12-1.46), whereas the highest MI quartile was not associated with mortality (fully adjusted HR, 0.97; 95% CI, 0.85-1.11). The subjective overestimation of sleep duration may be a risk factor for all-cause mortality in older men. Future studies should examine why subjective overestimation of sleep duration is associated with all-cause mortality from a physiological perspective.
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Affiliation(s)
- Tomohiro Utsumi
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Takuya Yoshiike
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
| | - Yoshitaka Kaneita
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Sayaka Aritake-Okada
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Health Sciences, Saitama Prefectural University, Saitama, Japan
| | - Kentaro Matsui
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kentaro Nagao
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kaori Saitoh
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Rei Otsuki
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Masahiro Shigeta
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Suzuki
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Kenichi Kuriyama
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan.
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Feingold CL, Smiley A. Healthy Sleep Every Day Keeps the Doctor Away. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10740. [PMID: 36078455 PMCID: PMC9518120 DOI: 10.3390/ijerph191710740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
When one considers the big picture of their health, sufficient sleep may often go overlooked as a keystone element in this picture. Insufficient sleep in either quality or duration is a growing problem for our modern society. It is essential to look at what this means for our health because insufficient sleep increases our risks of innumerable lifechanging diseases. Beyond increasing the risk of developing these diseases, it also makes the symptoms and pathogenesis of many diseases worse. Additionally, consistent quality sleep can not only improve our physical health but has also been shown to improve mental health and overall quality of life. Substandard sleep health could be a root cause for numerous issues individuals may be facing in their lives. It is essential that physicians take the time to learn about how to educate their patients on sleep health and try to work with them on an individual level to help motivate lifestyle changes. Facilitating access to sleep education for their patients is one way in which physicians can help provide patients with the tools to improve their sleep health. Throughout this paper, we will review the mechanisms behind the relationship between insufficient sleep health and chronic disease and what the science says about how inadequate sleep health negatively impacts the overall health and the quality of our lives. We will also explain the lifechanging effects of sufficient sleep and how we can help patients get there.
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10
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Pandi-Perumal SR, Cardinali DP, Zaki NFW, Karthikeyan R, Spence DW, Reiter RJ, Brown GM. Timing is everything: Circadian rhythms and their role in the control of sleep. Front Neuroendocrinol 2022; 66:100978. [PMID: 35033557 DOI: 10.1016/j.yfrne.2022.100978] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 12/12/2021] [Accepted: 01/08/2022] [Indexed: 01/16/2023]
Abstract
Sleep and the circadian clock are intertwined and have persisted throughout history. The suprachiasmatic nucleus (SCN) orchestrates sleep by controlling circadian (Process C) and homeostatic (Process S) activities. As a "hand" on the endogenous circadian clock, melatonin is critical for sleep regulation. Light serves as a cue for sleep/wake control by activating retino-recipient cells in the SCN and subsequently suppressing melatonin. Clock genes are the molecular timekeepers that keep the 24 h cycle in place. Two main sleep and behavioural disorder diagnostic manuals have now officially recognised the importance of these processes for human health and well-being. The body's ability to respond to daily demands with the least amount of effort is maximised by carefully timing and integrating all components of sleep and waking. In the brain, the organization of timing is essential for optimal brain physiology.
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Affiliation(s)
- Seithikurippu R Pandi-Perumal
- Somnogen Canada Inc, College Street, Toronto, ON, Canada; Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
| | - Daniel P Cardinali
- Faculty of Medical Sciences, Pontificia Universidad Católica Argentina, 1107 Buenos Aires, Argentina
| | - Nevin F W Zaki
- Department of Psychiatry, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | | | | | - Russel J Reiter
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX, USA
| | - Gregory M Brown
- Centre for Addiction and Mental Health, Molecular Brain Sciences, University of Toronto, 250 College St. Toronto, ON, Canada
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11
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Mortality associated with nonrestorative short sleep or nonrestorative long time-in-bed in middle-aged and older adults. Sci Rep 2022; 12:189. [PMID: 34997027 PMCID: PMC8741976 DOI: 10.1038/s41598-021-03997-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/14/2021] [Indexed: 11/30/2022] Open
Abstract
Associations of sleep duration with human health could differ depending on whether sleep is restorative. Using data from 5804 participants of the Sleep Heart Health Study, we examined the longitudinal association of sleep restfulness combined with polysomnography-measured total sleep time (TST) or time in bed (TIB), representing different sleeping behaviors, with all-cause mortality. Among middle-aged adults, compared with restful intermediate TST quartile, the lowest TST quartile with feeling unrested was associated with higher mortality (hazard ratio [HR], 1.54; 95% confidence interval [CI] 1.01–2.33); the highest TST quartile with feeling rested was associated with lower mortality (HR, 0.55; 95% CI 0.32–0.97). Among older adults, the highest TIB quartile with feeling unrested was associated with higher mortality, compared with restful intermediate TIB quartile (HR, 1.57; 95% CI 1.23–2.01). Results suggest a role of restorative sleep in differentiating the effects of sleep duration on health outcomes in midlife and beyond.
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12
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Barbato G. REM Sleep: An Unknown Indicator of Sleep Quality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12976. [PMID: 34948586 PMCID: PMC8702162 DOI: 10.3390/ijerph182412976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/01/2021] [Accepted: 12/08/2021] [Indexed: 11/17/2022]
Abstract
Standard polysomnographic analysis of sleep has not provided evidence of an objective measure of sleep quality; however, factors such as sleep duration and sleep efficiency are those more consistently associated with the subjective perception of sleep quality. Sleep reduction as currently occurs in our 24/7 society has had a profound impact on sleep quality; the habitual sleep period should fit within what is a limited nighttime window and may not be sufficient to satisfy the whole sleep process; moreover, the use of artificial light during the evening and early night hours can delay and disturb the circadian rhythms, especially affecting REM sleep. The correct phase relationship of the sleep period with the circadian pacemaker is an important factor to guarantee adequate restorative sleep duration and sleep continuity, thus providing the necessary background for a good night's sleep. Due to the fact that REM sleep is controlled by the circadian clock, it can provide a window-like mechanism that defines the termination of the sleep period when there is still the necessity to complete the sleep process (not only wake-related homeostasis) and to meet the circadian end of sleep timing. An adequate amount of REM sleep appears necessary to guarantee sleep continuity, while periodically activating the brain and preparing it for the return to consciousness.
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Affiliation(s)
- Giuseppe Barbato
- Department of Psychology, Università degli Studi della Campania Luigi Vanvitelli, 80122 Caserta, Italy
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13
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Trait Interindividual Differences in the Magnitude of Subjective Sleepiness from Sleep Inertia. Clocks Sleep 2021; 3:298-311. [PMID: 34204864 PMCID: PMC8293243 DOI: 10.3390/clockssleep3020019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 01/06/2023] Open
Abstract
In shift work settings and on-call operations, workers may be at risk of sleep inertia when called to action immediately after awakening from sleep. However, individuals may differ substantially in their susceptibility to sleep inertia. We investigated this using data from a laboratory study in which 20 healthy young adults were each exposed to 36 h of total sleep deprivation, preceded by a baseline sleep period and followed by a recovery sleep period, on three separate occasions. In the week prior to each laboratory session and on the corresponding baseline night in the laboratory, participants either extended their sleep period to 12 h/day or restricted it to 6 h/day. During periods of wakefulness in the laboratory, starting right after scheduled awakening, participants completed neurobehavioral tests every 2 h. Testing included the Karolinska Sleepiness Scale to measure subjective sleepiness, for which the data were analyzed with nonlinear mixed-effects regression to quantify sleep inertia. This revealed considerable interindividual differences in the magnitude of sleep inertia, which were highly stable within individuals after both baseline and recovery sleep periods, regardless of study condition. Our results demonstrate that interindividual differences in subjective sleepiness due to sleep inertia are substantial and constitute a trait.
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14
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Abstract
Sleep is a fundamental property conserved across species. The homeostatic induction of sleep indicates the presence of a mechanism that is progressively activated by the awake state and that induces sleep. Several lines of evidence support that such function, namely, sleep need, lies in the neuronal assemblies rather than specific brain regions and circuits. However, the molecular mechanism underlying the dynamics of sleep need is still unclear. This review aims to summarize recent studies mainly in rodents indicating that protein phosphorylation, especially at the synapses, could be the molecular entity associated with sleep need. Genetic studies in rodents have identified a set of kinases that promote sleep. The activity of sleep-promoting kinases appears to be elevated during the awake phase and in sleep deprivation. Furthermore, the proteomic analysis demonstrated that the phosphorylation status of synaptic protein is controlled by the sleep-wake cycle. Therefore, a plausible scenario may be that the awake-dependent activation of kinases modifies the phosphorylation status of synaptic proteins to promote sleep. We also discuss the possible importance of multisite phosphorylation on macromolecular protein complexes to achieve the slow dynamics and physiological functions of sleep in mammals.
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Affiliation(s)
- Koji L Ode
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroki R Ueda
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics, Osaka, Japan
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15
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Piltz SH, Diniz Behn CG, Booth V. Habitual sleep duration affects recovery from acute sleep deprivation: A modeling study. J Theor Biol 2020; 504:110401. [PMID: 32663506 DOI: 10.1016/j.jtbi.2020.110401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 06/27/2020] [Accepted: 07/04/2020] [Indexed: 12/13/2022]
Abstract
Adult humans exhibit high interindividual variation in habitual sleep durations, with short sleepers typically sleeping less than 6 h per night and long sleepers typically sleeping more than 9 h per night. Analysis of the time course of homeostatic sleep drive in habitual short and long sleepers has not identified differences between these groups, leading to the hypothesis that habitual short sleep results from increased tolerance to high levels of homeostatic sleep drive. Using a physiologically-based mathematical model of the sleep-wake regulatory network, we investigate responses to acute sleep deprivation in simulated populations of habitual long, regular and short sleepers that differ in daily levels of homeostatic sleep drive. The model predicts timing and durations of wake, rapid eye movement (REM), and non-REM (NREM) sleep episodes as modulated by the homeostatic sleep drive and the circadian rhythm, which is entrained to an external light cycle. Model parameters are fit to experimental measures of baseline sleep durations to construct simulated populations of individuals of each sleeper type. The simulated populations are validated against data for responses to specific acute sleep deprivation protocols. We use the model to predict responses to a wide range of sleep deprivation durations for each sleeper type. Model results predict that all sleeper types exhibit shorter sleep durations during recovery sleep that occurs in the morning, but, for recovery sleep times occurring later in the day, long and regular sleepers show longer and more variable sleep durations, and can suffer longer lasting disruption of daily sleep patterns compared to short sleepers. Additionally, short sleepers showed more resilience to sleep deprivation with longer durations of waking episodes following recovery sleep. These results support the hypothesis that differential responses to sleep deprivation between short and long sleepers result from differences in the tolerance for homeostatic sleep pressure.
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Affiliation(s)
- Sofia H Piltz
- Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Cecilia G Diniz Behn
- Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO 80401.
| | - Victoria Booth
- Departments of Mathematics and Anesthesiology, University of Michigan, Ann Arbor, MI 48109, USA.
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16
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Genetics of the human circadian clock and sleep homeostat. Neuropsychopharmacology 2020; 45:45-54. [PMID: 31400754 PMCID: PMC6879540 DOI: 10.1038/s41386-019-0476-7] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 07/24/2019] [Accepted: 08/01/2019] [Indexed: 01/07/2023]
Abstract
Timing and duration of sleep are controlled by the circadian system, which keeps an ~24-h internal rhythm that entrains to environmental stimuli, and the sleep homeostat, which rises as a function of time awake. There is a normal distribution across the population in how the circadian system aligns with typical day and night resulting in varying circadian preferences called chronotypes. A portion of the variation in the population is controlled by genetics as shown by the single-gene mutations that confer extreme early or late chronotypes. Similarly, there is a normal distribution across the population in sleep duration. Genetic variations have been identified that lead to a short sleep phenotype in which individuals sleep only 4-6.5 h nightly. Negative health consequences have been identified when individuals do not sleep at their ideal circadian timing or are sleep deprived relative to intrinsic sleep need. Whether familial natural short sleepers are at risk of the health consequences associated with a short sleep duration based on population data is not known. More work needs to be done to better assess for an individual's chronotype and degree of sleep deprivation to answer these questions.
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17
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Cajochen C, Reichert C, Maire M, Schlangen LJM, Schmidt C, Viola AU, Gabel V. Evidence That Homeostatic Sleep Regulation Depends on Ambient Lighting Conditions during Wakefulness. Clocks Sleep 2019; 1:517-531. [PMID: 33089184 PMCID: PMC7445844 DOI: 10.3390/clockssleep1040040] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 12/09/2019] [Indexed: 11/16/2022] Open
Abstract
We examined whether ambient lighting conditions during extended wakefulness modulate the homeostatic response to sleep loss as indexed by. slow wave sleep (SWS) and electroencephalographic (EEG) slow-wave activity (SWA) in healthy young and older volunteers. Thirty-eight young and older participants underwent 40 hours of extended wakefulness [i.e., sleep deprivation (SD)] once under dim light (DL: 8 lux, 2800 K), and once under either white light (WL: 250 lux, 2800 K) or blue-enriched white light (BL: 250 lux, 9000 K) exposure. Subjective sleepiness was assessed hourly and polysomnography was quantified during the baseline night prior to the 40-h SD and during the subsequent recovery night. Both the young and older participants responded with a higher homeostatic sleep response to 40-h SD after WL and BL than after DL. This was indexed by a significantly faster intra-night accumulation of SWS and a significantly higher response in relative EEG SWA during the recovery night after WL and BL than after DL for both age groups. No significant differences were observed between the WL and BL condition for these two particular SWS and SWA measures. Subjective sleepiness ratings during the 40-h SD were significantly reduced under both WL and BL compared to DL, but were not significantly associated with markers of sleep homeostasis in both age groups. Our data indicate that not only the duration of prior wakefulness, but also the experienced illuminance during wakefulness affects homeostatic sleep regulation in humans. Thus, working extended hours under low illuminance may negatively impact subsequent sleep intensity in humans.
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Affiliation(s)
- Christian Cajochen
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Wilhelm Kleinstr. 27, CH-4002 Basel, Switzerland;
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Birmannsgasse 8, CHF-4055 Basel, Switzerland
| | - Carolin Reichert
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Wilhelm Kleinstr. 27, CH-4002 Basel, Switzerland;
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Birmannsgasse 8, CHF-4055 Basel, Switzerland
| | - Micheline Maire
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland;
| | - Luc J M Schlangen
- Intelligent Lighting Institute, School of Innovation Sciences, Department of Human Technology Interaction, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands;
| | - Christina Schmidt
- GIGA-Research, Cyclotron Research Centre-In Vivo Imaging Unit, Psychology and Neuroscience of Cognition Research Unit (PsyNCog), Faculty of Psychology and Educational Sciences, University of Liège, 4000 Liège, Belgium;
| | | | - Virginie Gabel
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA 94305, USA;
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18
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D'Ambrosio S, Castelnovo A, Guglielmi O, Nobili L, Sarasso S, Garbarino S. Sleepiness as a Local Phenomenon. Front Neurosci 2019; 13:1086. [PMID: 31680822 PMCID: PMC6813205 DOI: 10.3389/fnins.2019.01086] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 09/26/2019] [Indexed: 12/13/2022] Open
Abstract
Sleep occupies a third of our life and is a primary need for all animal species studied so far. Nonetheless, chronic sleep restriction is a growing source of morbidity and mortality in both developed and developing countries. Sleep loss is associated with the subjective feeling of sleepiness and with decreased performance, as well as with detrimental effects on general health, cognition, and emotions. The ideas that small brain areas can be asleep while the rest of the brain is awake and that local sleep may account for at least some of the cognitive and behavioral manifestations of sleepiness are making their way into the scientific community. We herein clarify the different ways sleep can intrude into wakefulness, summarize recent scientific advances in the field, and offer some hypotheses that help framing sleepiness as a local phenomenon.
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Affiliation(s)
- Sasha D'Ambrosio
- Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università Degli Studi di Milano, Milan, Italy
| | - Anna Castelnovo
- Sleep and Epilepsy Center, Neurocenter of Southern Switzerland, Civic Hospital (EOC) of Lugano, Lugano, Switzerland
| | - Ottavia Guglielmi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences, University of Genoa, Genoa, Italy
| | - Lino Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS, Child Neuropsychiatry Unit, Giannina Gaslini Institute, Genoa, Italy
| | - Simone Sarasso
- Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università Degli Studi di Milano, Milan, Italy
| | - Sergio Garbarino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences, University of Genoa, Genoa, Italy
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19
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Schwartz PJ. Chris Cornell, the Black Hole Sun, and the Seasonality of Suicide. Neuropsychobiology 2019; 78:38-47. [PMID: 30921807 PMCID: PMC6549453 DOI: 10.1159/000498868] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 02/12/2019] [Indexed: 02/01/2023]
Abstract
PURPOSE Seattle-inspired rock and roll superstar Chris Cornell died by suicide in May 2017. In the northern hemisphere, May represents the peak of the widely replicated but still unexplained seasonal spring rhythm in suicide. Years earlier, Cornell had suffered openly from recurrent bouts of severe depression, and his early musical lyrics do indeed suggest an enduring sensitivity to the vicissitudes of depressed and suicidal states. Cornell's most famous song, Black Hole Sun, suggests a mixed mood state, the incidence of which also peaks in the spring. The present work explores Cornell's May suicide from a chronobiologic perspective. METHODS Review of Cornell's lyrics and literature on suicide. RESULTS Cornell's lyrics contain clear indicators of mixed depressive and seasonal imagery, highlighting 3 fundamental axioms of suicidology: (1) the yearly suicide rhythm peaks in May in the northern hemisphere, (2) mixed depressive states are particularly lethal, and (3) the suicide risk increases dramatically when recovering from depression and mood turns mixed. CONCLUSIONS Cornell, in his life and music, left us with a novel and important hypothesis about the spring seasonality of suicide, namely, that the yearly suicide risk becomes maximal when winter turns to spring and there emerges a deadly mixed mood state under a May photoperiod, i.e., the suicide risk is maximal when a Black Hole Sun occurs in May. It is hoped that Cornell's legacy and sensitive hypothesis inspire research into the etiology and treatment of the spring seasonality of suicide risk and mixed mood states. LIMITATIONS The Cornell hypothesis was formulated based in part on several speculative inferences regarding the course of his functioning just prior to his suicide.
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20
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Claudino JG, J Gabbet T, de Sá Souza H, Simim M, Fowler P, de Alcantara Borba D, Melo M, Bottino A, Loturco I, D'Almeida V, Carlos Amadio A, Cerca Serrão J, P Nassis G. Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis. BMJ Open Sport Exerc Med 2019; 5:e000475. [PMID: 30729029 PMCID: PMC6340585 DOI: 10.1136/bmjsem-2018-000475] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/26/2018] [Indexed: 02/03/2023] Open
Abstract
Background Sleep quality is an essential component of athlete's recovery. However, a better understanding of the parameters to adequately quantify sleep quality in team sport athletes is clearly warranted. Objective To identify which parameters to use for sleep quality monitoring in team sport athletes. Methods Systematic searches for articles reporting the qualitative markers related to sleep in team sport athletes were conducted in PubMed, Scopus, SPORTDiscus and Web of Science online databases. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. For the meta-analysis, effect sizes with 95% CI were calculated and heterogeneity was assessed using a random-effects model. The coefficient of variation (CV) with 95% CI was also calculated to assess the level of instability of each parameter. Results In general, 30 measuring instruments were used for monitoring sleep quality. A meta-analysis was undertaken on 15 of these parameters. Four objective parameters inferred by actigraphy had significant results (sleep efficiency with small CV and sleep latency, wake episodes and total wake episode duration with large CV). Six subjective parameters obtained from questionnaires and scales also had meaningful results (Pittsburgh Sleep Quality Index (sleep efficiency), Likert scale (Hooper), Likert scale (no reference), Liverpool Jet-Lag Questionnaire, Liverpool Jet-Lag Questionnaire (sleep rating) and RESTQ (sleep quality)). Conclusions These data suggest that sleep efficiency using actigraphy, Pittsburgh Sleep Quality Index, Likert scale, Liverpool Jet-Lag Questionnaire and RESTQ are indicated to monitor sleep quality in team sport athletes. PROSPERO registration number CRD42018083941.
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Affiliation(s)
- João Gustavo Claudino
- School of Physical Education and Sport-Laboratory of Biomechanics, University of São Paulo, São Paulo, Brazil.,LOAD CONTROL, Contagem, Brazil
| | - Tim J Gabbet
- Gabbett Performance Solutions, Brisbane, Australia.,Institute for Resilient Regions, University of Southern Queensland, Ipswich, Brisbane, Australia
| | - Helton de Sá Souza
- Department of Psychobiology, Universidade Federal de São Paulo-Escola Paulista de Medicina, São Paulo, Brazil
| | - Mário Simim
- Institute of Physical Education and Sports, Universidade Federal do Ceará, Ceará, Brazil
| | - Peter Fowler
- Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar.,Queensland University of Technology, Queensland, Brisbane, Australia
| | | | - Marco Melo
- Department of Physiology, São Paulo Futebol Clube, São Paulo, Brazil
| | - Altamiro Bottino
- Department of Physiology, São Paulo Futebol Clube, São Paulo, Brazil
| | - Irineu Loturco
- NAR-Nucleus of High Performance in Sport, São Paulo, Brazil
| | - Vânia D'Almeida
- Department of Psychobiology, Universidade Federal de São Paulo-Escola Paulista de Medicina, São Paulo, Brazil
| | - Alberto Carlos Amadio
- School of Physical Education and Sport-Laboratory of Biomechanics, University of São Paulo, São Paulo, Brazil
| | - Julio Cerca Serrão
- School of Physical Education and Sport-Laboratory of Biomechanics, University of São Paulo, São Paulo, Brazil
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21
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Åkerstedt T, Schwarz J, Gruber G, Theorell-Haglöw J, Lindberg E. Short sleep-poor sleep? A polysomnographic study in a large population-based sample of women. J Sleep Res 2019; 28:e12812. [PMID: 30609172 PMCID: PMC6849745 DOI: 10.1111/jsr.12812] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 11/29/2022]
Abstract
There is a lack of studies on the association between total sleep time (TST) and other polysomnographical parameters. A key question is whether a short sleep is an expression of habitual short sleep, or whether it reflects temporary impairment. The purpose of the present study was to investigate the association between TST and amount of sleep stages and sleep continuity measures, in a large population-based sample of women (n = 385), sleeping at home in a normal daily life setting. The results show that sleep efficiency, N1 (min), N2 (min), REM (min), REM% and proportion of long sleep segments, increased with increasing TST, whereas the number of awakenings/hr, the number of arousals/hr, N1% and REM intensity decreased. In addition, longer sleep was more associated with TST being perceived as of "usual" duration and with better subjective sleep quality. TST was not associated with habitual reported sleep duration. It was concluded that short TST of a recorded sleep in a real-life context may be an indicator of poor objective sleep quality for that particular sleep episode. Because individuals clearly perceived this reduction, it appears that self-reports of poor sleep quality often may be seen as indicators of poor sleep quality. It is also concluded that PSG-recorded sleep duration does not reflect habitual reported sleep duration in the present real-life context.
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Affiliation(s)
- Torbjörn Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Johanna Schwarz
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Stress Research Institute, Stockholm University, Stockholm, Sweden
| | | | - Jenny Theorell-Haglöw
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Eva Lindberg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
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22
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Batista GDA, Silva TND, Oliveira MRD, Diniz PRB, Lopes SS, Oliveira LMFTD. ASSOCIATION BETWEEN PERCEPTION OF SLEEP QUALITY AND ASSIMILATION OF CONTENT COVERED IN CLASS. REVISTA PAULISTA DE PEDIATRIA 2018; 36:315-321. [PMID: 29995138 PMCID: PMC6202889 DOI: 10.1590/1984-0462/;2018;36;3;00008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Accepted: 08/13/2017] [Indexed: 11/24/2022]
Abstract
Objective: To analyze the association between self-perception of sleep quality and
assimilation of content covered in classes by adolescents. Methods: Epidemiological cross-sectional study conducted with 481 high-school
students (14 to 19 years), both genders, enrolled in public schools in the
city of Caruaru, Pernambuco, and selected by random cluster sampling
strategy. Analyses were conducted using the Chi-square test and binary
logistic regression. Results: 44.1% of the adolescents reported learning difficulties during classes,
77.1% slept less than eight hours per day, and 28.9% had a bad perception of
their sleep quality. Young people who studied at least one extra hour per
day out of school had less difficulty in assimilating class content
(OR=0.34; 95%CI 0.19-0.58). We also found that participants who reported a
bad perception of sleep quality were more likely to have learning
difficulties at school (OR=1.73; 95%CI 1.13-2.65) regardless of gender, age,
school shift, study time out of school, and sleeping hours. Conclusions: Perception of sleep quality was associated with learning difficulties at
school regardless of the number of sleeping and study hours.
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Affiliation(s)
- Gabriel de Amorim Batista
- Centro Universitário Tabosa de Almeida, Caruaru, PE, Brasil.,Grupo de Pesquisa em Saúde e Esporte, Caruaru, PE, Brasil
| | - Thaís Nadiane da Silva
- Centro Universitário Tabosa de Almeida, Caruaru, PE, Brasil.,Grupo de Pesquisa em Saúde e Esporte, Caruaru, PE, Brasil
| | - Matheus Rodrigo de Oliveira
- Centro Universitário Tabosa de Almeida, Caruaru, PE, Brasil.,Grupo de Pesquisa em Saúde e Esporte, Caruaru, PE, Brasil
| | | | | | - Luciano Machado Ferreira Tenório de Oliveira
- Centro Universitário Tabosa de Almeida, Caruaru, PE, Brasil.,Grupo de Pesquisa em Saúde e Esporte, Caruaru, PE, Brasil.,Universidade de Federal de Pernambuco, Recife, PE, Brasil
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23
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Gutierrez G, Williams J, Alrehaili GA, McLean A, Pirouz R, Amdur R, Jain V, Ahari J, Bawa A, Kimbro S. Respiratory rate variability in sleeping adults without obstructive sleep apnea. Physiol Rep 2017; 4:4/17/e12949. [PMID: 27597768 PMCID: PMC5027356 DOI: 10.14814/phy2.12949] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 08/03/2016] [Indexed: 12/29/2022] Open
Abstract
Characterizing respiratory rate variability (RRV) in humans during sleep is challenging, since it requires the analysis of respiratory signals over a period of several hours. These signals are easily distorted by movement and volitional inputs. We applied the method of spectral analysis to the nasal pressure transducer signal in 38 adults with no obstructive sleep apnea, defined by an apnea‐hypopnea index <5, who underwent all‐night polysomnography (PSG). Our aim was to detect and quantitate RRV during the various sleep stages, including wakefulness. The nasal pressure transducer signal was acquired at 100 Hz and consecutive frequency spectra were generated for the length of the PSG with the Fast Fourier Transform. For each spectrum, we computed the amplitude ratio of the first harmonic peak to the zero frequency peak (H1/DC), and defined as RRV as (100 − H1/DC) %. RRV was greater during wakefulness compared to any sleep stage, including rapid‐eye‐movement. Furthermore, RRV correlated with the depth of sleep, being lowest during N3. Patients spent most their sleep time supine, but we found no correlation between RRV and body position. There was a correlation between respiratory rate and sleep stage, being greater in wakefulness than in any sleep stage. We conclude that RRV varies according to sleep stage. Moreover, spectral analysis of nasal pressure signal appears to provide a valid measure of RRV during sleep. It remains to be seen if the method can differentiate normal from pathological sleep patterns.
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Affiliation(s)
- Guillermo Gutierrez
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Jeffrey Williams
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Ghadah A Alrehaili
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Anna McLean
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Ramin Pirouz
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Richard Amdur
- Department of Surgery, The George Washington University MFA, Washington, District of Columbia
| | - Vivek Jain
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Jalil Ahari
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Amandeep Bawa
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
| | - Shawn Kimbro
- Pulmonary, Critical Care and Sleep Medicine Division, The George Washington University MFA, Washington, District of Columbia
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Choi JB, Lee YJG, Jeong DU. Transdermal Nicotine Patch Effects on EEG Power Spectra and Heart Rate Variability During Sleep of Healthy Male Adults. Psychiatry Investig 2017; 14:499-505. [PMID: 28845178 PMCID: PMC5561409 DOI: 10.4306/pi.2017.14.4.499] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 03/13/2017] [Accepted: 04/18/2017] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE The effect of transdermal nicotine patch on sleep physiology is not well established. The current study aimed to examine the influence of nicotine patch on homeostatic sleep propensity and autonomic nervous system. METHODS We studied 16 non-smoking young healthy volunteers with nocturnal polysomnography in a double blind crossover design between sleep with and without nicotine patch. We compared the sleep variables, sleep EEG power spectra, and heart rate variability. RESULTS The night with nicotine patch showed significant increase in sleep latency, wake after sleep onset, and stage 1 sleep; and decrease in total sleep time, sleep efficiency, and percentage of REM sleep. Also, spectral analysis of the sleep EEG in the night with nicotine patch revealed decreased slow wave activity in stage 2 and REM sleep and increased alpha activity in the first NREM-REM sleep cycle. Heart rate variability showed no differences between the 2 nights, but the low to high ratio (a parameter indicative of sympathetic nervous system activity) positively correlated with wake after sleep onset in night with nicotine patch. CONCLUSION Transdermal nicotine patch significantly disrupts sleep continuity, sleep architecture, and homeostatic sleep propensity. The overactivation of the sympathetic nervous system may be responsible for these changes.
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Affiliation(s)
- Jong-Bae Choi
- Department of Psychiatry, Yongin Mental Hospital, Yongin, Republic of Korea
| | - Yu-Jin G. Lee
- Department of Psychiatry, Seoul Metropolitan Hospital, Seoul, Republic of Korea
| | - Do-Un Jeong
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
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Kishi A, Van Dongen HPA, Natelson BH, Bender AM, Palombini LO, Bittencourt L, Tufik S, Ayappa I, Rapoport DM. Sleep continuity is positively correlated with sleep duration in laboratory nighttime sleep recordings. PLoS One 2017; 12:e0175504. [PMID: 28394943 PMCID: PMC5386280 DOI: 10.1371/journal.pone.0175504] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Accepted: 03/26/2017] [Indexed: 11/18/2022] Open
Abstract
Sleep duration varies widely across individuals and appears to be trait-like. Differences in the stability of underlying sleep processes may underlie this phenomenon. To investigate underlying mechanisms, we examined the relationship between sleep duration and sleep continuity in baseline polysomnography (PSG) recordings from three independently collected datasets: 1) 134 healthy controls (ages 37 ± 13 years) from the São Paulo Epidemiologic Sleep Study, who spent one night in a sleep laboratory, 2) 21 obstructive sleep apnea (OSA) patients who were treated with continuous positive airway pressure for at least 2 months (45 ± 12 years, respiratory disturbance index <15), who spent one night in a sleep laboratory with previous experience of multiple PSG studies, and 3) 62 healthy controls (28 ± 6 years) who, as part of larger experiments, spent 2 consecutive nights in a sleep laboratory. For each dataset, we used total sleep time (TST) to separate subjects into those with shorter sleep (S-TST) and those with longer sleep (L-TST). In all three datasets, survival curves of continuous sleep segments showed greater sleep continuity in L-TST than in S-TST. Correlation analyses with TST as a continuous variable corroborated the results; and the results also held true after controlling for age. There were no significant differences in baseline waking performance and sleepiness between S-TST and L-TST. In conclusion, in both healthy controls and treated OSA patients, sleep continuity was positively correlated with sleep duration. These findings suggest that S-TST may differ from L-TST in processes underlying sleep continuity, shedding new light on mechanisms underlying individual differences in sleep duration.
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Affiliation(s)
- Akifumi Kishi
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, New York, United States of America
- Pain & Fatigue Study Center, Beth Israel Medical Center and Albert Einstein College of Medicine, New York, New York, United States of America
- Graduate School of Education, The University of Tokyo, Tokyo, Japan
- * E-mail:
| | - Hans P. A. Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, United States of America
| | - Benjamin H. Natelson
- Pain & Fatigue Study Center, Beth Israel Medical Center and Albert Einstein College of Medicine, New York, New York, United States of America
| | - Amy M. Bender
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, United States of America
| | - Luciana O. Palombini
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil
| | - Lia Bittencourt
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil
| | - Sergio Tufik
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil
| | - Indu Ayappa
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, New York, United States of America
| | - David M. Rapoport
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, New York University School of Medicine, New York, New York, United States of America
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Chang AM, Bjonnes AC, Aeschbach D, Buxton OM, Gooley JJ, Anderson C, Van Reen E, Cain SW, Czeisler CA, Duffy JF, Lockley SW, Shea SA, Scheer FAJL, Saxena R. Circadian gene variants influence sleep and the sleep electroencephalogram in humans. Chronobiol Int 2016; 33:561-73. [PMID: 27089043 DOI: 10.3109/07420528.2016.1167078] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The sleep electroencephalogram (EEG) is highly heritable in humans and yet little is known about the genetic basis of inter-individual differences in sleep architecture. The aim of this study was to identify associations between candidate circadian gene variants and the polysomnogram, recorded under highly controlled laboratory conditions during a baseline, overnight, 8 h sleep opportunity. A candidate gene approach was employed to analyze single-nucleotide polymorphisms from five circadian-related genes in a two-phase analysis of 84 healthy young adults (28 F; 23.21 ± 2.97 years) of European ancestry. A common variant in Period2 (PER2) was associated with 20 min less slow-wave sleep (SWS) in carriers of the minor allele than in noncarriers, representing a 22% reduction in SWS duration. Moreover, spectral analysis in a subset of participants (n = 37) showed the same PER2 polymorphism was associated with reduced EEG power density in the low delta range (0.25-1.0 Hz) during non-REM sleep and lower slow-wave activity (0.75-4.5 Hz) in the early part of the sleep episode. These results indicate the involvement of PER2 in the homeostatic process of sleep. Additionally, a rare variant in Melatonin Receptor 1B was associated with longer REM sleep latency, with minor allele carriers exhibiting an average of 65 min (87%) longer latency from sleep onset to REM sleep, compared to noncarriers. These findings suggest that circadian-related genes can modulate sleep architecture and the sleep EEG, including specific parameters previously implicated in the homeostatic regulation of sleep.
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Affiliation(s)
- Anne-Marie Chang
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA.,c Medical and Population Genetics , Broad Institute of Harvard and Massachusetts Institute of Technology , Cambridge , MA , USA.,d Department of Biobehavioral Health , Pennsylvania State University , University Park , PA , USA
| | - Andrew C Bjonnes
- c Medical and Population Genetics , Broad Institute of Harvard and Massachusetts Institute of Technology , Cambridge , MA , USA.,e Department of Anesthesia, Critical Care and Pain Medicine and Center for Human Genetic Research , Massachusetts General Hospital , Boston , MA , USA
| | - Daniel Aeschbach
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA.,f Institute of Aerospace Medicine , German Aerospace Center , Cologne , Germany
| | - Orfeu M Buxton
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA.,d Department of Biobehavioral Health , Pennsylvania State University , University Park , PA , USA.,g Department of Social and Behavioral Sciences , Harvard School of Public Health , Boston , MA , USA
| | - Joshua J Gooley
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Clare Anderson
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Eliza Van Reen
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Sean W Cain
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Charles A Czeisler
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Jeanne F Duffy
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Steven W Lockley
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Steven A Shea
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA.,h Oregon Institute of Occupational Health Sciences , Oregon Health & Science University , Portland , OR , USA
| | - Frank A J L Scheer
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA
| | - Richa Saxena
- a Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology , Brigham and Women's Hospital , Boston , MA , USA.,b Division of Sleep Medicine , Harvard Medical School , Boston , MA , USA.,c Medical and Population Genetics , Broad Institute of Harvard and Massachusetts Institute of Technology , Cambridge , MA , USA.,e Department of Anesthesia, Critical Care and Pain Medicine and Center for Human Genetic Research , Massachusetts General Hospital , Boston , MA , USA
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Association between Self-Reported Bruxism and Sleeping Patterns among Dental Students in Saudi Arabia: A Cross-Sectional Study. Int J Dent 2016; 2016:4327081. [PMID: 27034672 PMCID: PMC4789476 DOI: 10.1155/2016/4327081] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Revised: 12/13/2015] [Accepted: 01/31/2016] [Indexed: 11/17/2022] Open
Abstract
Objectives. The aim of this cross-sectional study was to identify sleeping patterns among dental students and their association with self-reported bruxism in Riyadh Colleges of Dentistry and Pharmacy (RCsDP). Methods. A cross-sectional study was performed including 549 students (67 men and 482 women). A structured questionnaire was adopted from The PSQI (The Pittsburgh Sleep Questionnaire Index) used for data collection. It included questions which are categorized into sleeping habits, sleep-related symptoms, and additional questions concerning bruxism. This questionnaire was randomly distributed among all college preclinical and postclinical students. Sleep bruxism diagnosis was based on self-reported data. The data were analyzed using Chi-square tests through SPSS software for Windows. Results. Statistical analyses revealed significant correlations between self-reported bruxism and sleeping habits including sleep initiation (χ2 = 22.6, p = 0.000), continuous sleep until morning (χ2 = 19.2, p = 0.001), nighttime sleep duration (χ2 = 20.2, p = 0.000), and length of daytime naps (χ2 = 28.35, p = 0.000). There was an association between self-reported bruxism and sleeping-related symptoms including awakening early in the morning before the usual time without a cause (χ2 = 16.52, p = 0.000) and increased nightmares (χ2 = 13.7, p = 0.001). Conclusions. Poor sleeping pattern was an important factor among dental students, who reported sleep bruxism.
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Mukherjee S, Patel SR, Kales SN, Ayas NT, Strohl KP, Gozal D, Malhotra A. An Official American Thoracic Society Statement: The Importance of Healthy Sleep. Recommendations and Future Priorities. Am J Respir Crit Care Med 2015; 191:1450-8. [PMID: 26075423 DOI: 10.1164/rccm.201504-0767st] [Citation(s) in RCA: 148] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
RATIONALE Despite substantial public interest, few recommendations on the promotion of good sleep health exist to educate health care providers and the general public on the importance of sleep for overall health. OBJECTIVES The aim of this American Thoracic Society (ATS) statement is to provide a review of the current scientific literature to assist health care providers, especially pulmonologists and sleep physicians, in making recommendations to patients and the general public about the importance of achieving good quality and adequate quantity of sleep. METHODS ATS members were invited, based on their expertise in sleep medicine, and their conclusions were based on both empirical evidence identified after comprehensive literature review and clinical experience. MAIN RESULTS We focus on sleep health in both children and adults, including the impact of occupation on sleep, the public health implications of drowsy driving, and the common sleep disorders of obstructive sleep apnea and insomnia. This ATS statement also delineates gaps in research and knowledge that should be addressed and lead to new focused research priorities to advance knowledge in sleep and sleep health. CONCLUSIONS Good quality and quantity of sleep are essential for good health and overall quality of life; therefore a strong recommendation was made for the implementation of public education programs on the importance of sleep health.
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Fullagar HHK, Skorski S, Duffield R, Hammes D, Coutts AJ, Meyer T. Sleep and athletic performance: the effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise. Sports Med 2015; 45:161-86. [PMID: 25315456 DOI: 10.1007/s40279-014-0260-0] [Citation(s) in RCA: 403] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Although its true function remains unclear, sleep is considered critical to human physiological and cognitive function. Equally, since sleep loss is a common occurrence prior to competition in athletes, this could significantly impact upon their athletic performance. Much of the previous research has reported that exercise performance is negatively affected following sleep loss; however, conflicting findings mean that the extent, influence, and mechanisms of sleep loss affecting exercise performance remain uncertain. For instance, research indicates some maximal physical efforts and gross motor performances can be maintained. In comparison, the few published studies investigating the effect of sleep loss on performance in athletes report a reduction in sport-specific performance. The effects of sleep loss on physiological responses to exercise also remain equivocal; however, it appears a reduction in sleep quality and quantity could result in an autonomic nervous system imbalance, simulating symptoms of the overtraining syndrome. Additionally, increases in pro-inflammatory cytokines following sleep loss could promote immune system dysfunction. Of further concern, numerous studies investigating the effects of sleep loss on cognitive function report slower and less accurate cognitive performance. Based on this context, this review aims to evaluate the importance and prevalence of sleep in athletes and summarises the effects of sleep loss (restriction and deprivation) on exercise performance, and physiological and cognitive responses to exercise. Given the equivocal understanding of sleep and athletic performance outcomes, further research and consideration is required to obtain a greater knowledge of the interaction between sleep and performance.
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Affiliation(s)
- Hugh H K Fullagar
- Institute of Sport and Preventive Medicine, Saarland University, GEB. B82, 66123, Saarbrucken, Germany,
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Spaeth AM, Goel N, Dinges DF. Cumulative neurobehavioral and physiological effects of chronic caffeine intake: individual differences and implications for the use of caffeinated energy products. Nutr Rev 2014; 72 Suppl 1:34-47. [PMID: 25293542 PMCID: PMC4404626 DOI: 10.1111/nure.12151] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The use of caffeine-containing energy products has increased worldwide in recent years. All of the top-selling energy drinks contain caffeine, which is likely to be the primary psychoactive ingredient in these products. Research shows that caffeine-containing energy products can improve cognitive and physical performance. Presumably, individuals consume caffeine-containing energy products to counteract feelings of low energy in situations causing tiredness, fatigue, and/or reduced alertness. This review discusses the scientific evidence for sleep loss, circadian phase, sleep inertia, and the time-on-task effect as causes of low energy and summarizes research assessing the efficacy of caffeine to counteract decreased alertness and increased fatigue in such situations. The results of a placebo-controlled experiment in healthy adults who had 3 nights of total sleep deprivation (with or without 2-hour naps every 12 hours) are presented to illustrate the physiological and neurobehavioral effects of sustained low-dose caffeine. Individual differences, including genetic factors, in the response to caffeine and to sleep loss are discussed. The review concludes with future directions for research on this important and evolving topic.
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Affiliation(s)
- Andrea M Spaeth
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Chua ECP, Yeo SC, Lee ITG, Tan LC, Lau P, Tan SS, Ho Mien I, Gooley JJ. Individual differences in physiologic measures are stable across repeated exposures to total sleep deprivation. Physiol Rep 2014; 2:2/9/e12129. [PMID: 25263200 PMCID: PMC4270219 DOI: 10.14814/phy2.12129] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Some individuals show severe cognitive impairment when sleep deprived, whereas others are able to maintain a high level of performance. Such differences are stable and trait‐like, but it is not clear whether these findings generalize to physiologic responses to sleep loss. Here, we analyzed individual differences in behavioral and physiologic measures in healthy ethnic‐Chinese male volunteers (n = 12; aged 22–30 years) who were kept awake for at least 26 h in a controlled laboratory environment on two separate occasions. Every 2 h, sustained attention performance was assessed using a 10‐min psychomotor vigilance task (PVT), and sleepiness was estimated objectively by determining percentage eyelid closure over the pupil over time (PERCLOS) and blink rate. Between‐subject differences in heart rate and its variability, and electroencephalogram (EEG) spectral power were also analyzed during each PVT. To assess stability of individual differences, intraclass correlation coefficients (ICC) were determined using variance components analysis. Consistent with previous work, individual differences in PVT performance were reproducible across study visits, as were baseline sleep measures prior to sleep deprivation. In addition, stable individual differences were observed during sleep deprivation for PERCLOS, blink rate, heart rate and its variability, and EEG spectral power in the alpha frequency band, even after adjusting for baseline differences in these measures (range, ICC = 0.67–0.91). These findings establish that changes in ocular, ECG, and EEG signals are highly reproducible across a night of sleep deprivation, hence raising the possibility that, similar to behavioral measures, physiologic responses to sleep loss are trait‐like. e12129 Individual differences in physiologic measures were examined in healthy ethnic‐Chinese males who underwent sleep deprivation in the laboratory on two different occasions. We found that between‐subject differences in ocular, electrocardiogram, and electroencephalogram measures were highly stable, even after adjusting for baseline individual differences in these measures. These results suggest that the brain responds predictably to the challenge of sleep deprivation and raise the possibility that physiologic responses to sleep loss are trait‐like.
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Affiliation(s)
- Eric Chern-Pin Chua
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
| | - Sing-Chen Yeo
- National Neuroscience Institute, Singapore, 308433, Singapore
| | - Ivan Tian-Guang Lee
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
| | - Luuan-Chin Tan
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
| | - Pauline Lau
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
| | - Sara S Tan
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
| | - Ivan Ho Mien
- Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, 117456, Singapore
| | - Joshua J Gooley
- Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School Singapore, Singapore, 169857, Singapore
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Pellegrino R, Kavakli IH, Goel N, Cardinale CJ, Dinges DF, Kuna ST, Maislin G, Van Dongen HP, Tufik S, Hogenesch JB, Hakonarson H, Pack AI. A novel BHLHE41 variant is associated with short sleep and resistance to sleep deprivation in humans. Sleep 2014; 37:1327-36. [PMID: 25083013 PMCID: PMC4096202 DOI: 10.5665/sleep.3924] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
STUDY OBJECTIVES Earlier work described a mutation in DEC2 also known as BHLHE41 (basic helix-loophelix family member e41) as causal in a family of short sleepers, who needed just 6 h sleep per night. We evaluated whether there were other variants of this gene in two well-phenotyped cohorts. DESIGN Sequencing of the BHLHE41 gene, electroencephalographic data, and delta power analysis and functional studies using cell-based luciferase. RESULTS We identified new variants of the BHLHE41 gene in two cohorts who had either acute sleep deprivation (n = 200) or chronic partial sleep deprivation (n = 217). One variant, Y362H, at another location in the same exon occurred in one twin in a dizygotic twin pair and was associated with reduced sleep duration, less recovery sleep following sleep deprivation, and fewer performance lapses during sleep deprivation than the homozygous twin. Both twins had almost identical amounts of non rapid eye movement (NREM) sleep. This variant reduced the ability of BHLHE41 to suppress CLOCK/BMAL1 and NPAS2/BMAL1 transactivation in vitro. Another variant in the same exome had no effect on sleep or response to sleep deprivation and no effect on CLOCK/BMAL1 transactivation. Random mutagenesis identified a number of other variants of BHLHE41 that affect its function. CONCLUSIONS There are a number of mutations of BHLHE41. Mutations reduce total sleep while maintaining NREM sleep and provide resistance to the effects of sleep loss. Mutations that affect sleep also modify the normal inhibition of BHLHE41 of CLOCK/BMAL1 transactivation. Thus, clock mechanisms are likely involved in setting sleep length and the magnitude of sleep homeostasis. CITATION Pellegrino R, Kavakli IH, Goel N, Cardinale CJ, Dinges DF, Kuna ST, Maislin G, Van Dongen HP, Tufik S, Hogenesch JB, Hakonarson H, Pack AI. A novel BHLHE41 variant is associated with short sleep and resistance to sleep deprivation in humans. SLEEP 2014;37(8):1327-1336.
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Affiliation(s)
- Renata Pellegrino
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Departamento de Psicobiologia, Universidade Federal de São Paulo, UNIFESP, São Paulo, Brazil
| | - Ibrahim Halil Kavakli
- Departments of Chemical and Biological Eng. and Molecular Biology and Genetics, Koc University, Rumelifeneri Yolu, Sariyer-Istanbul, Turkey
| | - Namni Goel
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - David F. Dinges
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Samuel T. Kuna
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Medicine, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA
| | - Greg Maislin
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Sergio Tufik
- Departamento de Psicobiologia, Universidade Federal de São Paulo, UNIFESP, São Paulo, Brazil
| | - John B. Hogenesch
- Department of Pharmacology, Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Allan I. Pack
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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Sleepiness phenomics: Modeling individual differences in subjective sleepiness profiles. Int J Psychophysiol 2014; 93:150-61. [DOI: 10.1016/j.ijpsycho.2013.03.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2012] [Revised: 03/26/2013] [Accepted: 03/28/2013] [Indexed: 01/08/2023]
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Seystahl K, Könnecke H, Sürücü O, Baumann CR, Poryazova R. Development of a short sleeper phenotype after third ventriculostomy in a patient with ependymal cysts. J Clin Sleep Med 2014; 10:211-3. [PMID: 24533006 DOI: 10.5664/jcsm.3458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
A naturally short sleeper phenotype with a sleep need of less than 6 hours without negative impact on health or performance is rare. We present a case of an acquired short sleeper phenotype after third ventriculostomy. A 59-year-old patient suffering from chronic hydrocephalus reported an average of 7-8 h of nocturnal sleep. After surgical intervention, the patient noted a strikingly reduced sleep need of 4-5 h without consequent fatigue or excessive daytime sleepiness, but with good daytime performance and well-balanced mood. Short sleep per 24 hours was confirmed by actigraphy. Postoperative imaging revealed decreased pressure around the anterior third ventricle. The temporal link between development of a short sleeper phenotype and third ventriculostomy is striking. This might suggest that individual short sleep need is not only determined by genetics but can be also be induced by external factors.
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Affiliation(s)
- Katharina Seystahl
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Helen Könnecke
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oguzkan Sürücü
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | | | - Rositsa Poryazova
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
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Hao YL, Zhang B, Jia FJ, Li XL, Tang Y, Ren YZ, Liu WH. A three-phase epidemiological study of short and long sleepers in a middle-aged Chinese population: prevalence and characteristics. Braz J Med Biol Res 2014; 47:157-65. [PMID: 24519132 PMCID: PMC4051176 DOI: 10.1590/1414-431x20133430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 10/29/2013] [Indexed: 11/24/2022] Open
Abstract
Epidemiological studies of short and long sleepers have not been conducted
previously. We collected socioeconomic, psychological, and polysomnographic
characteristics of 6501 parents (3252 men and 3249 women) of 4036 primary school
children in Guangzhou city. The study data were collected in three phases. The
overall prevalence of short (5 h or less) and long (10 h or more) sleep duration
was 0.52 and 0.64%, respectively. Long sleepers had higher Eysenck Personality
Questionnaire neuroticism scores [odds ratio (OR)=1.224, 95% confidence interval
(CI)=1.047-1.409] and lower education levels (OR=0.740, 95%CI=0.631-0.849) than
short sleepers. In the polysomnographic assessment, short, long, and normal
sleepers (7-8 h) shared similar durations of Stage 3 sleep (short=25.7±10.7,
long=20.3±7.9, and normal=28.0±12.8 min, F=1.402, P=0.181). In daytime multiple
sleep latency tests, short sleepers (10/19, 52.6%) were more prone to have a
short sleep latency (≤8 min) than long sleepers (2/23, 8.7%). In addition to
different sleep durations, neuroticism might also contribute to differences
between short and long sleepers in social achievements. Stage 3 sleep might be
essential for humans. The short sleep latency (≤8 min) of short sleepers in
multiple sleep latency tests should be interpreted cautiously, since it was of
the same severity as required for a diagnosis of narcolepsy or idiopathic
hypersomnia.
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Affiliation(s)
- Y L Hao
- Department of Human Anatomy, Guangzhou Medical University, Guangzhou, China, Department of Human Anatomy, Guangzhou Medical University, Guangzhou, China
| | - B Zhang
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China
| | - F J Jia
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China
| | - X L Li
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China
| | - Y Tang
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China
| | - Y Z Ren
- Zhongshan The Third People's Hospital, Zhongshan, China, Zhongshan The Third People's Hospital, Zhongshan, China
| | - W H Liu
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Centre, Guangzhou, China
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McCauley P, Kalachev LV, Mollicone DJ, Banks S, Dinges DF, Van Dongen HPA. Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance. Sleep 2013; 36:1987-97. [PMID: 24293775 DOI: 10.5665/sleep.3246] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Recent experimental observations and theoretical advances have indicated that the homeostatic equilibrium for sleep/wake regulation--and thereby sensitivity to neurobehavioral impairment from sleep loss--is modulated by prior sleep/wake history. This phenomenon was predicted by a biomathematical model developed to explain changes in neurobehavioral performance across days in laboratory studies of total sleep deprivation and sustained sleep restriction. The present paper focuses on the dynamics of neurobehavioral performance within days in this biomathematical model of fatigue. Without increasing the number of model parameters, the model was updated by incorporating time-dependence in the amplitude of the circadian modulation of performance. The updated model was calibrated using a large dataset from three laboratory experiments on psychomotor vigilance test (PVT) performance, under conditions of sleep loss and circadian misalignment; and validated using another large dataset from three different laboratory experiments. The time-dependence of circadian amplitude resulted in improved goodness-of-fit in night shift schedules, nap sleep scenarios, and recovery from prior sleep loss. The updated model predicts that the homeostatic equilibrium for sleep/wake regulation--and thus sensitivity to sleep loss--depends not only on the duration but also on the circadian timing of prior sleep. This novel theoretical insight has important implications for predicting operator alertness during work schedules involving circadian misalignment such as night shift work.
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Affiliation(s)
- Peter McCauley
- Sleep and Performance Research Center, Washington State University, Spokane, WA ; Department of Mathematical Sciences, University of Montana, Missoula, MT
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Sletten TL, Rajaratnam SM, Wright MJ, Zhu G, Naismith S, Martin NG, Hickie I. Genetic and environmental contributions to sleep-wake behavior in 12-year-old twins. Sleep 2013; 36:1715-22. [PMID: 24179306 PMCID: PMC3792390 DOI: 10.5665/sleep.3136] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES To examine the role of genetic and environmental factors on sleep behavior in 12-year-old twins matched for family environment. DESIGN Population-based twin cohort. SETTING Participants were assessed in their home environment. PATIENTS OR PARTICIPANTS One hundred thirty-two adolescent twins comprising 25 monozygotic (MZ) and 41 dizygotic (DZ) twin pairs; aged 12.2 ± 0.1 y (mean ± standard deviation). INTERVENTIONS N/A. MEASUREMENTS AND RESULTS For 2 weeks in their home environment, participants wore a wrist activity monitor and completed a daily sleep diary. Sleep diaries included reports of bedtime, wake time, and estimated sleep onset time. Mean timing, duration, and quality of sleep during the 2 weeks were calculated for each individual and compared within twin pairs. MZ twin correlations were higher than the DZ correlations for total sleep time (MZr = 0.64; DZr = 0.38) and sleep onset latency (MZr = 0.83; DZr = 0.53) and significantly higher for wake after sleep onset (MZr = 0.66; DZr = 0.04) and sleep efficiency (MZr = 0.82; DZr = 0.10). Univariate modeling showed additive genetic factors accounted for 65% of the variance in total sleep time, 83% in sleep onset latency, and 52% and 57% of the variance in wake after sleep onset and sleep efficiency, respectively. A predominant influence of shared environment was found on the timing of sleep (67% for sleep start time, 86% for sleep end time). CONCLUSIONS There is a strong genetic influence on the sleep-wake patterns of 12-year-old adolescents. Genes have a greater influence on sleep initiation and sleep maintenance and a smaller role in sleep timing, likely to be influenced by family environment.
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Affiliation(s)
- Tracey L. Sletten
- School of Psychology and Psychiatry, Monash University, Melbourne, Australia
| | | | | | - Gu Zhu
- Queensland Institute of Medical Research, Queensland, Australia
| | - Sharon Naismith
- Brain & Mind Research Institute, University of Sydney, Sydney, Australia
| | | | - Ian Hickie
- Brain & Mind Research Institute, University of Sydney, Sydney, Australia
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Sleep extension normalizes ERP of waking auditory sensory gating in healthy habitually short sleeping individuals. PLoS One 2013; 8:e59007. [PMID: 23520548 PMCID: PMC3592823 DOI: 10.1371/journal.pone.0059007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 02/09/2013] [Indexed: 11/18/2022] Open
Abstract
Chronic sleep loss has been associated with increased daytime sleepiness, as well as impairments in memory and attentional processes. In the present study, we evaluated the neuronal changes of a pre-attentive process of wake auditory sensory gating, measured by brain event-related potential (ERP) – P50 in eight normal sleepers (NS) (habitual total sleep time (TST) 7 h 32 m) vs. eight chronic short sleeping individuals (SS) (habitual TST ≤6 h). To evaluate the effect of sleep extension on sensory gating, the extended sleep condition was performed in chronic short sleeping individuals. Thus, one week of time in bed (6 h 11 m) corresponding to habitual short sleep (hSS), and one week of extended time (∼ 8 h 25 m) in bed corresponding to extended sleep (eSS), were counterbalanced in the SS group. The gating ERP assessment was performed on the last day after each sleep condition week (normal sleep and habitual short and extended sleep), and was separated by one week with habitual total sleep time and monitored by a sleep diary. We found that amplitude of gating was lower in SS group compared to that in NS group (0.3 µV vs. 1.2 µV, at Cz electrode respectively). The results of the group × laterality interaction showed that the reduction of gating amplitude in the SS group was due to lower amplitude over the left hemisphere and central-midline sites relative to that in the NS group. After sleep extension the amplitude of gating increased in chronic short sleeping individuals relative to their habitual short sleep condition. The sleep condition × frontality interaction analysis confirmed that sleep extension significantly increased the amplitude of gating over frontal and central brain areas compared to parietal brain areas.
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Abstract
The sleep-wake cycle is a process not only dictated by homeostatic and circadian factors but also by social and environmental influences. Thus, the total sleep time partly reflects sleep need, which is integral to the dynamics of sleep loss recovery. This study explored the nature of the observed oscillations in total sleep time in healthy adults under spontaneous living conditions. Actigraph-measured sleep data for 13 healthy young male adults were collected over 14 consecutive days and analyzed for habitual sleep duration. The total sleep time periodicity was modeled using the cosinor method for each individual across the 14 days. The findings confirm the existence of periodicity in habitual sleep duration as there were clear periodic patterns in the majority of the participants. Although exclusive to each individual, the observed oscillations may be a resultant response of homeostatic sleep need, circadian timing, and/or social and environmental influences. These findings instigate further indepth studies into the periodicity of sleep duration in healthy individuals to provide a better understanding of sleep need in short versus long sleepers, in predicting work performance, and reducing sleepiness-related accidents following shift work, and how this periodicity may impact sleep treatment outcome in clinical populations.
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Affiliation(s)
- Shi Ngar Wong
- Discipline of Exercise and Sport Science, University of Sydney, Sydney, NSW, Australia
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Deboer T, van Diepen HC, Ferrari MD, Van den Maagdenberg AMJM, Meijer JH. Reduced sleep and low adenosinergic sensitivity in cacna1a R192Q mutant mice. Sleep 2013; 36:127-36. [PMID: 23288979 DOI: 10.5665/sleep.2316] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES Adenosine modulates sleep via A(1) and A(2A) receptors. As the A(1) receptor influences Ca(V)2.1 channel functioning via G-protein inhibition, there is a possible role of the Ca(V)2.1 channel in sleep regulation. To this end we investigated transgenic Cacna1a R192Q mutant mice that express mutant Ca(V)2.1 channels that are less susceptible to inhibition by G-proteins. We hypothesized that Cacna1a R192Q mice could show reduced susceptibility to adenosine, which may result in a sleep phenotype characterized by decreased sleep. DESIGN R192Q mutant and littermate wild-type mice were subjected to a 6-h sleep deprivation, treatment with caffeine (a non-specific adenosine receptor antagonist which induces waking), or cyclopentyladenosine (CPA, an A(1) receptor specific agonist which induces sleep). MEASUREMENTS AND RESULTS Under baseline conditions, Cacna1a R192Q mice showed more waking with longer waking episodes in the dark period and less non-rapid eye movement (NREM) sleep, but equal amounts of REM sleep compared to wild-type. After treatment with caffeine R192Q mice initiated sleep 30 min earlier than wild-type, whereas after CPA treatment, R192Q mice woke up 260 min earlier than wild-type. Both results indicate that Cacna1a R192Q mice are less susceptible to adenosinergic input, which may explain the larger amount of waking under undisturbed baseline conditions. CONCLUSION We here show that adenosinergic sleep induction, and responses to caffeine and CPA, are modified in the R192Q mutant in a manner consistent with decreased susceptibility to inhibition by adenosine. The data suggest that the A(1) receptor modulates sleep via the Ca(V)2.1 channel.
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Affiliation(s)
- Tom Deboer
- Laboratory for Neurophysiology, Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, The Netherlands.
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41
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Vyazovskiy VV, Tobler I. The temporal structure of behaviour and sleep homeostasis. PLoS One 2012; 7:e50677. [PMID: 23227197 PMCID: PMC3515582 DOI: 10.1371/journal.pone.0050677] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2012] [Accepted: 10/25/2012] [Indexed: 01/02/2023] Open
Abstract
The amount and architecture of vigilance states are governed by two distinct processes, which occur at different time scales. The first, a slow one, is related to a wake/sleep dependent homeostatic Process S, which occurs on a time scale of hours, and is reflected in the dynamics of NREM sleep EEG slow-wave activity. The second, a fast one, is manifested in a regular alternation of two sleep states – NREM and REM sleep, which occur, in rodents, on a time scale of ∼5–10 minutes. Neither the mechanisms underlying the time constants of these two processes – the slow one and the fast one, nor their functional significance are understood. Notably, both processes are primarily apparent during sleep, while their potential manifestation during wakefulness is obscured by ongoing behaviour. Here, we find, in mice provided with running wheels, that the two sleep processes become clearly apparent also during waking at the level of behavior and brain activity. Specifically, the slow process was manifested in the total duration of waking periods starting from dark onset, while the fast process was apparent in a regular occurrence of running bouts during the waking periods. The dynamics of both processes were stable within individual animals, but showed large interindividual variability. Importantly, the two processes were not independent: the periodic structure of waking behaviour (fast process) appeared to be a strong predictor of the capacity to sustain continuous wakefulness (slow process). The data indicate that the temporal organization of vigilance states on both the fast and the slow time scales may arise from a common neurophysiologic mechanism.
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Abstract
BACKGROUND Self-reported long habitual sleep durations (≥ 9 h per night) consistently predict increased mortality. We compared objective sleep parameters of self-reported long versus normal duration sleepers to determine whether long sleepers truly sleep more or have an underlying sleep abnormality. METHODS Older men participating in the Osteoporotic Fractures in Men Study (MrOS) were recruited for a comprehensive sleep assessment, which included wrist actigraphy, overnight polysomnography (PSG), and a question about usual nocturnal sleep duration. RESULTS Of the 3134 participants (mean age 76.4 ± 5.6; 89.9% Caucasian), 1888 (60.2%) reported sleeping 7-8 h (normal sleepers) and 174 (5.6%) reported ≥ 9 h (long sleepers). On actigraphy, long sleepers spent on average 63.0 min more per night in bed (P < 0.001), slept 42.8 min longer (P < 0.001), and spent 6.8 min more per day napping (P = 0.01). Based on PSG, the apnea hypopnea index, periodic limb movement index, arousal index, and sleep stage distribution did not differ. After adjusting for differences in demographics, comorbidities, and medication usage, self-reported long sleepers continued to spend more time in bed and sleep more, based on both actigraphy and PSG. Each additional 30 min in bed or asleep as measured by actigraphy increased the odds of being a self-reported long-sleeper 1.74-fold and 1.33-fold, respectively (P < 0.001 for both). CONCLUSIONS On objective assessment, self-reported long sleepers spend more time in bed and more time asleep than normal duration sleepers. This is not explained by differences in comorbidity or sleep disorders.
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Affiliation(s)
- Sanjay R Patel
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
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Spaeth AM, Goel N, Dinges DF. Managing neurobehavioral capability when social expediency trumps biological imperatives. PROGRESS IN BRAIN RESEARCH 2012; 199:377-398. [PMID: 22877676 PMCID: PMC3600847 DOI: 10.1016/b978-0-444-59427-3.00021-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Sleep, which is evolutionarily conserved across species, is a biological imperative that cannot be ignored or replaced. However, the percentage of habitually sleep-restricted adults has increased in recent decades. Extended work hours and commutes, shift work schedules, and television viewing are particularly potent social factors that influence sleep duration. Chronic partial sleep restriction, a product of these social expediencies, leads to the accumulation of sleep debt over time and consequently increases sleep propensity, decreases alertness, and impairs critical aspects of cognitive functioning. Significant interindividual variability in the neurobehavioral responses to sleep restriction exists-this variability is stable and phenotypic-suggesting a genetic basis. Identifying vulnerability to sleep loss is essential as many adults cannot accurately judge their level of impairment in response to sleep restriction. Indeed, the consequences of impaired performance and the lack of insight due to sleep loss can be catastrophic. In order to cope with the effects of social expediencies on biological imperatives, identification of biological (including genetic) and behavioral markers of sleep loss vulnerability as well as development of technological approaches for fatigue management are critical.
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Affiliation(s)
- Andrea M Spaeth
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David F Dinges
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Roscoe JA, Perlis ML, Pigeon WR, O’Neill KH, Heckler CE, Matteson-Rusby SE, Palesh OG, Shayne M, Huston A. Few changes observed in polysomnographic-assessed sleep before and after completion of chemotherapy. J Psychosom Res 2011; 71:423-8. [PMID: 22118386 PMCID: PMC4157519 DOI: 10.1016/j.jpsychores.2011.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2011] [Revised: 08/23/2011] [Accepted: 08/30/2011] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Sleep disturbance is prevalent among patients undergoing chemotherapy and is strongly associated with cancer-related fatigue (CRF). However, little objective evidence has been gathered on the patterns of sleep before and following chemotherapy. METHODS Twenty-six patients scheduled to receive chemotherapy were recruited. Sleep parameters were assessed by in-lab polysomnography (PSG) for two consecutive nights prior to first chemotherapy, approximately 3weeks following the patients' last chemotherapy, and 3months following the last treatment. Fatigue was measured on the first night of each of the two-night PSG assessments. We focus on Slow-Wave Sleep (SWS) as we hypothesized that a decrease of this restorative phase of sleep might be implicated in CRF. RESULTS Repeated-measures analyses examining changes from baseline to the later time points in the proportion of time asleep spent in each of the four sleep architecture stages (Stage 1, Stage 2, SWS, and REM sleep) were non-significant, all Ps>0.41. Canonical correlation analysis showed that the proportion of time spent in SWS was not significantly correlated with any of the three CRF measures at any of the three assessment points, P=0.28. CONCLUSIONS Sleep architecture is not affected by cancer treatment. No evidence of an association between CRF and SWS, or alterations in SWS, was found.
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Affiliation(s)
- Joseph A. Roscoe
- University of Rochester James P. Wilmot Cancer Center, Rochester, NY
| | - Michael L. Perlis
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA
| | - Wilfred R. Pigeon
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY
| | | | | | | | - Oxana G. Palesh
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Michelle Shayne
- University of Rochester James P. Wilmot Cancer Center, Rochester, NY
| | - Alissa Huston
- University of Rochester James P. Wilmot Cancer Center, Rochester, NY
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Fulda S, Romanowski CPN, Becker A, Wetter TC, Kimura M, Fenzel T. Rapid eye movements during sleep in mice: high trait-like stability qualifies rapid eye movement density for characterization of phenotypic variation in sleep patterns of rodents. BMC Neurosci 2011; 12:110. [PMID: 22047102 PMCID: PMC3228710 DOI: 10.1186/1471-2202-12-110] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2011] [Accepted: 11/02/2011] [Indexed: 01/13/2023] Open
Abstract
Background In humans, rapid eye movements (REM) density during REM sleep plays a prominent role in psychiatric diseases. Especially in depression, an increased REM density is a vulnerability marker for depression. In clinical practice and research measurement of REM density is highly standardized. In basic animal research, almost no tools are available to obtain and systematically evaluate eye movement data, although, this would create increased comparability between human and animal sleep studies. Methods We obtained standardized electroencephalographic (EEG), electromyographic (EMG) and electrooculographic (EOG) signals from freely behaving mice. EOG electrodes were bilaterally and chronically implanted with placement of the electrodes directly between the musculus rectus superior and musculus rectus lateralis. After recovery, EEG, EMG and EOG signals were obtained for four days. Subsequent to the implantation process, we developed and validated an Eye Movement scoring in Mice Algorithm (EMMA) to detect REM as singularities of the EOG signal, based on wavelet methodology. Results The distribution of wakefulness, non-REM (NREM) sleep and rapid eye movement (REM) sleep was typical of nocturnal rodents with small amounts of wakefulness and large amounts of NREM sleep during the light period and reversed proportions during the dark period. REM sleep was distributed correspondingly. REM density was significantly higher during REM sleep than NREM sleep. REM bursts were detected more often at the end of the dark period than the beginning of the light period. During REM sleep REM density showed an ultradian course, and during NREM sleep REM density peaked at the beginning of the dark period. Concerning individual eye movements, REM duration was longer and amplitude was lower during REM sleep than NREM sleep. The majority of single REM and REM bursts were associated with micro-arousals during NREM sleep, but not during REM sleep. Conclusions Sleep-stage specific distributions of REM in mice correspond to human REM density during sleep. REM density, now also assessable in animal models through our approach, is increased in humans after acute stress, during PTSD and in depression. This relationship can now be exploited to match animal models more closely to clinical situations, especially in animal models of depression.
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Affiliation(s)
- Stephany Fulda
- Max Planck Institute of Psychiatry, Kraepelinstrasse 2, 80804 Munich, Germany
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Miller NL, Shattuck LG, Matsangas P. Longitudinal study of sleep patterns of United States Military Academy cadets. Sleep 2011; 33:1623-31. [PMID: 21120124 DOI: 10.1093/sleep/33.12.1623] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES The study provided an opportunity to observe sleep patterns in a college-age population attending the United States Military Academy. DESIGN This 4-year longitudinal study investigated sleep patterns of cadets. A stratified sample of 80 cadets had sleep patterns monitored using actigraphy for 8 months: one month in both fall and spring academic semesters over a 4-year period. SETTING Data were collected at the United States Military Academy, West Point, NY. PARTICIPANTS Participants were members of the class of 2007 (n˜1300) ranging in age from 17 to 22 when entering USMA. MEASUREMENTS AND RESULTS A sample of the class (n=80) wore wrist activity monitors and completed activity logs for one month in fall and spring academic semesters for the 4-year period. On average over the 4 years, cadets slept<5.5 h on school nights. Cadets napped extensively, perhaps in an attempt to compensate for chronic sleep debt. Cadets slept more during fall than spring semesters. Male and female cadet sleep patterns varied dramatically, with males consistently receiving less sleep than females (˜21 m for nighttime sleep and ˜23 m for daily sleep). CONCLUSIONS Cadet sleep at USMA is related to academic year, semester, season, sex, school day or weekend, and day of the week. These students suffer from chronic sleep debt. Restrictions imposed by the military academy limit the generalizability of the findings to other college age populations.
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Affiliation(s)
- Nita Lewis Miller
- Naval Postgraduate School, Operations Research Department, MOVES Institute, Monterey, CA 93943, USA.
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47
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Gerashchenko D, Wisor JP, Kilduff TS. Sleep-active cells in the cerebral cortex and their role in slow-wave activity. Sleep Biol Rhythms 2011; 9:71-77. [PMID: 21625335 PMCID: PMC3103062 DOI: 10.1111/j.1479-8425.2010.00461.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
We recently identified neurons in the cerebral cortex that become activated during sleep episodes with high slow-wave activity (SWA). The distinctive properties of these neurons are the ability to produce nitric oxide and their long-range projections within the cortex. In this review, we discuss how these characteristics of sleep-active cells could be relevant to SWA production in the cortex. We also discuss possible models of the role of nNOS cells in SWA production.
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Affiliation(s)
| | | | - Thomas S. Kilduff
- Center for Neuroscience Biosciences Division, SRI International, Menlo Park, CA 94025 USA
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Marzano C, De Simoni E, Tempesta D, Ferrara M, De Gennaro L. Sleep deprivation suppresses the increase of rapid eye movement density across sleep cycles. J Sleep Res 2010; 20:386-94. [PMID: 20819146 DOI: 10.1111/j.1365-2869.2010.00886.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Cristina Marzano
- Department of Psychology-Section of Neuroscience, Sapienza University of Rome, Via dei Marsi 78, Rome, Italy.
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Abstract
STUDY OBJECTIVES Modafinil may promote wakefulness by increasing cerebral dopaminergic neurotransmission, which importantly depends on activity of catechol-O-methyltransferase (COMT) in prefrontal cortex. The effects of modafinil on sleep homeostasis in humans are unknown. Employing a novel sleep-pharmacogenetic approach, we investigated the interaction of modafinil with sleep deprivation to study dopaminergic mechanisms of sleep homeostasis. DESIGN Placebo-controlled, double-blind, randomized crossover study. SETTING Sleep laboratory in temporal isolation unit. PARTICIPANTS 22 healthy young men (23.4 +/- 0.5 years) prospectively enrolled based on genotype of the functional Val158Met polymorphism of COMT(10 Val/Val and 12 Met/Met homozygotes). INTERVENTIONS 2 x 100 mg modafinil and placebo administered at 11 and 23 hours during 40 hours prolonged wakefulness. MEASUREMENTS AND RESULTS Subjective sleepiness and EEG markers of sleep homeostasis in wakefulness and sleep were equally affected by sleep deprivation in Val/Val and Met/Met allele carriers (placebo condition). Modafinil attenuated the evolution of sleepiness and EEG 5-8 Hz activity during sleep deprivation in both genotypes. In contrast to caffeine, modafinil did not reduce EEG slow wave activity (0.75-4.5 Hz) in recovery sleep, yet specifically increased 3.0-6.75 Hz and > 16.75 Hz activity in NREM sleep in the Val/Val genotype of COMT. CONCLUSIONS The Val158Met polymorphism of COMT modulates the effects of modafinil on the NREM sleep EEG in recovery sleep after prolonged wakefulness. The sleep EEG changes induced by modafinil markedly differ from those of caffeine, showing that pharmacological interference with dopaminergic and adenosinergic neurotransmission during sleep deprivation differently affects sleep homeostasis.
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Affiliation(s)
- Sereina Bodenmann
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Hans-Peter Landolt
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Zürich Center for Integrative Human Physiology, University of Zürich, Zürich, Switzerland
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Mograss MA, Guillem F, Stickgold R. Individual differences in face recognition memory: comparison among habitual short, average, and long sleepers. Behav Brain Res 2010; 208:576-83. [PMID: 20079765 PMCID: PMC4572581 DOI: 10.1016/j.bbr.2010.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2009] [Revised: 12/31/2009] [Accepted: 01/06/2010] [Indexed: 12/20/2022]
Abstract
Research indicates that habitual short sleepers show more rapid accumulation of slow-wave sleep at the beginning of the night. Enhancement in performance on declarative memory tasks has been associated with early NonREM sleep, consisting of the highest percentage of slow-wave sleep. Twenty-four subjects (eight short sleepers 7 but <9h, seven long >or=9h) were tested. Subjects were presented with unfamiliar face stimuli and asked to memorize them for a subsequent test. Following sleep, the subjects were presented with the 40 "old/studied" items intermixed with 40 new and asked to indicate the previously presented stimuli. Event-related potentials (ERPs) were analyzed to verify the existence of the "Old/New" effect, i.e. amplitude difference [in ERPs] between the old and new stimuli. ANOVA on the scores revealed a significant interaction between the stimuli and group. Post-hoc test on the studied items revealed more accurate responses in the short sleepers compared to the average and long sleepers. Strikingly, the long sleepers failed to show significant retention of the old/studied items, with their recognition of old faces not different from chance. Reaction time (RT) responses were faster for the old vs. the new items. Pearson correlation revealed a significant negative correlation between accuracy and sleep duration in the short sleepers. However, long and average sleepers showed a positive correlation between the two variables. ANOVA performed on the ERPs revealed main effects of stimuli and site, and no interactions involving the group factor. In conclusion, our data show that individual differences in recognition memory performance may be associated with differences in habitual sleep duration.
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Affiliation(s)
- Melodee A Mograss
- Division of Sleep Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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