Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T23:46:21.931Z Has data issue: false hasContentIssue false
  • English
  • Français

Measuring sleep (dys)function by polysomnography

Published online by Cambridge University Press:  18 September 2015

B. van Sweden ,
A. Wauquier ,
J.B.A.M. Arends  and
A.C. Declerck
B. van Sweden*
Affiliation:
afdeling Klinische Neurofysiologie en Slaap/Waak-onderzoek, Heeze.
A. Wauquier
Affiliation:
afdeling Klinische Neurofysiologie en Slaap/Waak-onderzoek, Heeze.
J.B.A.M. Arends
Affiliation:
afdeling Klinische Neurofysiologie en Slaap/Waak-onderzoek, Heeze.
A.C. Declerck
Affiliation:
afdeling Klinische Neurofysiologie en Slaap/Waak-onderzoek, Heeze.
*
Medisch Centrum St. Jozef, Afd. K.M.F., Abdijstraat 2, B 3740 Bilzen., België
Get access Rights & Permissions [Opens in a new window]

Summary

A vigilance state is characterized by a particular activity state of the motorIautonomic and psychiclcognitive functional systems. S-W screening is possible through poly graphic monitoring of physiological variables and signals. Quantification of these signals introduces a set of parameters allowing the characterisation of the sleep (dys)function. There is no consensus regarding the choice or definition of these parameters. A particular cluster is presented and their informative value with respect to clinical practice and research is discussed.

Keywords

sleep (dys)functionpoly(somno)graphyparametersslaap (dys)functiepoly(somno) grafieparameters
Type
Research Article
Information
Acta Neuropsychiatrica , Volume 3 , Issue 3 , September 1991 , pp. 48 - 54
Copyright
Copyright © Scandinavian College of Neuropsychopharmacology 1991

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literatuur

1.Buchsbaum, MG, Haier, RJ. Psychopathology: biological approaches. Ann Rev Psychol 1983; 34: 401–30CrossRefGoogle ScholarPubMed
2.Koella, WP. A modern neurobiological concept of vigilance. Experientia 1982; 38: 1526–37CrossRefGoogle ScholarPubMed
3.Horne, J. Why we sleep. Oxford: Univ Press, 1988Google Scholar
4.Carskadon, MA, Rechtschaffen, A. Monitoring and staging of human sleep. In: Kryger, MH, Roth, T, Dement, WC, eds. Principles and Practice of Sleep Medicine, Philadelphia: WB Saunders, 1989: 665–83Google Scholar
5.Webb, WB. An objective behavioral model of sleep. Sleep 1988; 11:488–96CrossRefGoogle ScholarPubMed
6.Shiromani, PJ, Gillin, JC, Henriksen, SJ. Acetylcholine and the regulation of REM sleep: basic mechanisms and clinical implications for affective illness and narcolepsy. Ann Rev Pharmacol Toxicol. 1987; 27: 137–56.CrossRefGoogle ScholarPubMed
7.Hobson, JA. Sleep mechanisms and pathophysiology: some clinical implications of the reciprocal interaction hypothesis of sleep cycle control. Psychosom Med 1983; 45: 123–40CrossRefGoogle ScholarPubMed
8.Schulz, H, Lund, R. On the origin of early REM episodes in the sleep of depressed patients: a comparison of three hypotheses. Psychiat Res 1985; 16: 65–77.CrossRefGoogle ScholarPubMed
9.Wauquier, A, Dugovic, C, Radulovacki, M, eds. Slow wave Sleep, physiological, pathophysiological and functional Aspects. New York: Raven Press 1989Google Scholar
10.Wauquier, A, Van Sweden, B. Aging of “core” and “optional” sleep. Biol Psychiat (submitted)Google Scholar
11.Roth, T, Roehrs, T, Zorick, F. Sleepiness its measurement and determinants. Sleep 1982; 5: S128–34.CrossRefGoogle ScholarPubMed
12.Parkes, J. The parasomnias. Lancet 1986; 1021–5CrossRefGoogle ScholarPubMed
13. Diagnostic classification steering committee (Thorpy, MJ, chairman) International classification of sleep disorders: Diagnostic and coding manual Rochester, Minnesota: American Sleep Disorders Association, 1990.Google Scholar
14.Aldrich, MS. Narcolepsy. New Eng J Med 1990, 323: 389–94.Google ScholarPubMed
15.Williams, A, Santiago, S, Stein, M. Screening for sleep apnea? Chest 1989; 96: 451–53CrossRefGoogle ScholarPubMed
16.Reynolds, CF, Kupfer, DJ. Sleep research in affective illness: state of the art circa 1987. Sleep 1987; 10: 199–215CrossRefGoogle ScholarPubMed
17.Gillin, JC, Duncan, W, Pettgrew, KD, Frankel, BL, Snijder, F. Succesful separation of depressed, normal and insomniac subjects bij EEG sleep data. Arch gen Psychiat 1979; 36: 85–90CrossRefGoogle Scholar
18.Reynolds, CF, Kupfer, DJ, Houck, PR, Hoch, CC, Stack, JA, Berzan, SR, Zimmer, B. Reliable discrimination of elderly depressed and demented patients by electroencephalographic sleep data. Arch gen Psychiat 1988; 45: 258–64CrossRefGoogle ScholarPubMed
19.Hiat, JF, Floyd, TC, Katz, PH, Feinberg, J. Further evidence of abnormal NREM sleep in schizophrenia. Arch gen Psychiat 1985; 42: 797–802CrossRefGoogle Scholar
20.Zarcone, VP, Benson, KL, Berger, PA. Abnormal REM latencies in schizophrenia. Arch gen Psychiat 1987; 44: 45–8CrossRefGoogle ScholarPubMed
21.Van Praag, HM, Asnis, GM, Kahn, RS, Brown, SL, Korn, M, Harkary Friedman, JM, Wetzler, S. Monoamines and abnormal behaviour. Br J Psychiat, 1990; 157: 723–34.CrossRefGoogle ScholarPubMed
22.Siever, LJ, Davis, KL. Overview: toward a dysregulation hypothesis of depression. Am J Psychiat, 1985; 142: 1017–31.Google Scholar
23.Sanders, MH, Rogers, RM. Sleep apnea: when does better become benefit, Chest (editorial) 1985; 88: 320–1CrossRefGoogle ScholarPubMed
24.Spiegel, R. Zur vorraussage des Therapieerfolgs mit antidepressiva: Sind kurze REM-latenzen diagnostisch und porgnostisch zuverlässige Merkmale? Fortschr Neurol Psychiat 1984; 52: 302–11CrossRefGoogle Scholar
25.Implementation plan for the decade of the brain: executive summary. Neurology 1990; 40: 1483–86.CrossRefGoogle Scholar