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1 - Normal sleep

from SECTION 1 - NORMAL SLEEP

Published online by Cambridge University Press:  08 August 2009

Michel Billiard
Affiliation:
University of Montpellier, Montpellier, France
Harold R. Smith
Affiliation:
University of California, Irvine
Cynthia L. Comella
Affiliation:
Rush University Medical Center, Chicago
Birgit Högl
Affiliation:
Inssbruck Medical University
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Summary

Introduction

The state of wakefulness regularly alternates with the states of sleep. Our initial knowledge of the states of sleep was based on observations of individual subjects while asleep. The beginning of the scientific era of research in normal humans dates back to the sleep deprivation studies conducted by Kleitman in the 1920s. In the following decade, the first classification of sleep stages was published by Loomis et al. in 1937, and Kleitman's comprehensive landmark monograph Sleep and Wakefulness was published in 1939. Loomis's classification was based on electroencephalographic (EEG) criteria alone and distinguished five different sleep states, from wakefulness (A) to deep sleep (E). In 1953, Aserinsky and Kleitman described a special type of sleep with rapid eye movements, and sleep was subsequently classified based on EEG and electrooculographic (EOG) parameters. This classification system distinguished four stages of sleep without rapid eye movements (NREM sleep) and a state of sleep with rapid eye movements (REM sleep). Following the discovery of muscle atonia accompanying REM sleep by Jouvet in 1962, a revised classification of sleep was developed using the three parameters of EEG, EOG, and electromyography (EMG). In 1968 this staging system was published in the Manual of Standardized Terminology, Techniques, and Scoring System for Sleep Stages of Human Subjects, under the leadership of Rechtschaffen and Kales, and is still used worldwide.

Polysomnography

Polysomnography (PSG) is the recording of several electrophysiologic signals during sleep. Polysomnography uses the 10–20 international electrode placement system for EEG recording (Fig. 1.1).

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Sleep Medicine , pp. 9 - 24
Publisher: Cambridge University Press
Print publication year: 2008

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References

Akerstedt, T, Gillberg, M. The circadian variation of experimentally displaced sleep. Sleep 1981; 4:1159–69.CrossRefGoogle Scholar
American Academy of Sleep Medicine. The International Classification of Sleep Disorders: Diagnostic and Coding Manual, 2nd edn (ICSD-2). Westchester, IL: American Academy of Sleep Medicine, 2005.
Anderer, P, Gruber, G, Parapatics, S, et al. An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24 × 7 utilizing the Siesta database. Neuropsychobiology 2005; 53:360–63.Google Scholar
Aserinsky, E, Kleitman, N. Regularly occurring periods of eye motility and concomitant phenomena during sleep. Science 1953; 118:273–4.CrossRefGoogle ScholarPubMed
Atlas Task Force. EEG arousals: scoring rules and examples. A preliminary report from the Sleep Disorders Atlas Task Force of the American Sleep Disorders Association. Sleep 1992; 15: 173–84.
Benoit, O, Foret, J, Bouard, G, et al. Habitual sleep length and patterns of recovery sleep after 24 hour and 36 hour sleep deprivation. Electroencephalogr Clin Neurophysiol 1980; 50:477–85.CrossRefGoogle ScholarPubMed
Bliwise DL. Normal aging. In: Kryger, MH, Roth, T, Dement, WC, eds. Principles and Practice of Sleep Medicine, 4th edn. Philadelphia, PA: Saunders, 2005: 24–38.Google Scholar
Carskadon, MA, Brown, ED, Dement, WC. Sleep fragmentation in the elderly: relationship to daytime sleep tendency. Neurobiol Aging 1982; 3:321–7.CrossRefGoogle Scholar
Davis, KF, Parker, KP, Montgomery, GL. Sleep in infants and young children. Part one: normal sleep. J Pediatr Health Care 2004; 18:65–71.CrossRefGoogle Scholar
Dement, WC, Kleitman, N. The relation of eye movements during sleep to dream activity: an objective method for the study of dreaming. J Exp Psychol 1957; 53:339–46.CrossRefGoogle Scholar
Dijk, DJ, Neri, DF, Wyatt, JK, et al. Sleep, performance, circadian rhythms, and light–dark cycles during two space shuttle flights. Am J Physiol Regul Integr Comp Physiol 2001; 281: R1647–64.CrossRefGoogle ScholarPubMed
Dorffner, G. Toward a new standard of modeling sleep based on polysomnograms: the SIESTA project. Electroencephalogr Clin Neurophysiol 1998; 106 (suppl. 1001):28.Google Scholar
Flexer, A, Gruber, G, Dorffner, G. A reliable probabilistic sleep stager based on a single EEG signal. Appl Artif Intell 2004; 33:209–22.Google Scholar
Gati R, Pétieu R, Wamba B, Buguet A. Human sleep in dry tropical Africa. In: Horne, J, ed. Sleep 90. Bochum: Pontenagel Press, 1994: 39–41.Google Scholar
Geering, BA, Achermann, P, Eggimann, F, Borbely, AA. Period-amplitude analysis and power spectral analysis: a comparison based on all-night sleep EEG recordings. J Sleep Res 1993; 2:121–9.CrossRefGoogle ScholarPubMed
Grigg-Damberger, M, Gozal, D, Marcus, CL, et al. The visual scoring of sleep and arousal in infants and children. J Clin Sleep Med 2007; 3:201–40.Google ScholarPubMed
Hjorth, B. EEG analysis based on time domain properties. Electroencephalogr Clin Neurophysiol 1970; 29:306–10.CrossRefGoogle ScholarPubMed
Jouvet, M. Récherches sur les structures nerveuses et les mécanismes responsables des différentes phases du sommeil physiologique. Arch Ital Biol 1962; 1090:125–206.Google Scholar
Kahn, A, Dan, B, Groswasser, J, Franco, P, Sottiaux, M. Normal sleep architecture in infants and children. J Clin Neurophysiol 1996; 13:184–97.CrossRefGoogle ScholarPubMed
Karacan, I, Moore, CA. Genetics and human sleep. Psychiatr Ann 1979; 9:11–23.Google Scholar
Kleitman, N. Sleep and Wakefulness. Chicago, IL: University of Chicago Press, 1939.Google Scholar
Kubicki, S, Höller, L, Berg, I, Pastelack-Price, C, Dorow, R. Sleep EEG evaluation: a comparison of results obtained by visual scoring and automatic analysis with the Oxford sleep stager. Sleep 1989; 12:140–9.CrossRefGoogle ScholarPubMed
Loomis, AL, Harvey, EN, Hobart, GA. Cerebral states during sleep, as studied by human brain potentials. J Exp Psychol 1937; 21:127–44.CrossRefGoogle Scholar
Louis, RP, Lee, J, Stephenson, R. Design and validation of a computer-based sleep-scoring algorithm. J Neurosci Methods 2004; 133:71–80.CrossRefGoogle ScholarPubMed
Mallis, MM, Roshia, CW. Circadian rhythms, sleep, and performance in space. Aviat Space Environ Med 2005; 76 (6 suppl): B94–107.Google ScholarPubMed
Montmayeur, A, Buguet, A. Sleep problems in Melanoids and Caucasians living in the tropics. J Sleep Res 1994; 3 (suppl 1): 171.Google Scholar
Natani, K, Shurley, JT, Pierce, CM, Brooks, RE. Long-term changes in sleep patterns in men on the south polar plateau. Arch Intern Med 1970; 125:655–9.CrossRefGoogle ScholarPubMed
Pardey, J, Roberts, S, Tarassenko, L. A new approach to the analysis of the human sleep/wakefulness continuum. J Sleep Res 1996; 5:201–10.CrossRefGoogle ScholarPubMed
Penzel, T, Conradt, R. Computer-based sleep recording and analysis. Sleep Med Rev 2000; 4:131–48.CrossRefGoogle ScholarPubMed
Rechtschaffen, A, Kales, A. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. Los Angeles, CA: UCLA Brain Information Service/Brain Research Institute, 1968.Google Scholar
Robert, C, Guilpin, C, Limoge, A. Review of neural network application in sleep research. J Neurosci Meth 1998; 79:187–93.CrossRefGoogle Scholar
Steel, GD, Callaway, M, Suedfeld, P, Palinkas, L. Human sleep–wake cycles in the high Arctic: effects of unusual photoperiodicity in a natural setting. Biol Rhythm Res 1995; 26:582–92.CrossRefGoogle Scholar
Terzano, MG, Parrino, L. Evaluation of EEG cyclic alternating pattern during sleep in insomniacs and controls under placebo and acute treatment with zolpidem. Sleep 1992; 15:64–70.CrossRefGoogle ScholarPubMed
Terzano, MG, Parrino, L. Origin and significance of the cyclic alternating pattern (CAP). Sleep Med Rev 2000; 4:101–23.CrossRefGoogle Scholar
Terzano, MG, Mancia, D, Salati, MR, et al. The cyclic alternating pattern as a physiologic component of normal NREM sleep. Sleep 1985; 8:137–45.CrossRefGoogle Scholar
Terzano, MG, Parrino, L, Mennuni, GF, eds. Phasic Events and Microstructure of Sleep. Consensus conference, Italian Association of Sleep Medicine (AIMS). Lecce: Martano Editore, 1997.Google Scholar
Terzano, MG, Parrino, L, Smerieri, A, et al. Atlas, rules, and recording techniques for the scoring of cyclic alternating pattern (CAP) in human sleep. Sleep Med 2001; 2:537–53.CrossRefGoogle Scholar
Webb, WB, Agnew, HW. Sleep stage characteristics of long and short sleepers. Science 1970; 168:146–7.CrossRefGoogle ScholarPubMed
Wu, T, Kayser, B. High altitude adaptation in Tibetans. High Alt Med Biol 2006; 7:193–208.CrossRefGoogle ScholarPubMed

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