Main article
Aberrant temporal patterning of slow-wave sleep in siblings of SIDS victims

https://doi.org/10.1016/0013-4694(94)00263-KGet rights and content

Abstract

We assessed the patterning of slow-wave EEG activity during sleep in siblings of sudden infant death syndrome (SIDS) victims over the first 6 months of life. Twelve hour overnight physiologic recordings were obtained from 25 apparently healthy subsequent siblings of SIDS victims and 25 control infants at 1 week, and 1, 2, 3, 4 and 6 months of age. The EEG activity was electronically bandpass filtered, leaving primarily activity ranging from 0.5 to 2.5 Hz (the delta frequency), and the filtered traces were full-wave rectified and integrated over 1 min periods. The recordings were divided into four 3 h segments beginning at sleep onset, and the mean integrated delta activity during quiet sleep was determined for each segment of the night. At 3 and 4 months postnatal age, SIDS siblings displayed increased integrated delta amplitude in the early morning hours relative to control infants. Most SIDS deaths occur in the early morning hours during the 2–4 month age range. We thus speculate that increased delta activity may be indicative of increased arousal thresholds in the early morning, which may contribute to SIDS deaths.

References (58)

  • M.B. Sterman et al.

    Developmental comparison of sleep EEG power spectral patterns in infants at low and high risk for sudden death

    Electroenceph. clin. Neurophysiol.

    (1982)
  • H.L. Williams et al.

    Responses to auditory stimulation, sleep loss and the EEG stages of sleep

    Electroenceph. clin. Neurophysiol.

    (1964)
  • T.F. Anders et al.
  • T.W. Anderson

    An Introduction to Multivariate Statistical Analysis

    (1958)
  • S.M. Beat

    Some epidemiological factors about sudden infant death syndrome (SIDS) in South Australia

  • R.J. Berger et al.

    Effects of sleep deprivation on behavior, subsequent sleep, and dreaming

    J. Ment. Sci.

    (1962)
  • A.B. Bergman

    Sudden infant death syndrome in King County, Washington: epidemiological aspects

  • A.B. Bergman et al.

    Studies of the sudden infant death syndrome in King County, Washington. III: Epidemiology

    Pediatrics

    (1972)
  • A.A. Borbély

    A two process model of sleep regulation

    Hum. Neurobiol.

    (1982)
  • D.P. Brunner et al.

    Repeated partial sleep deprivation progressively changes the EEG during sleep and wakefulness

    Sleep

    (1993)
  • D.-J. Dijk et al.

    Time course of EEG power density during long sleep in humans

    Am. J. Physiol.

    (1990)
  • C. Dreyfus-Brisac

    Ontogenesis of sleep in human prematures after 32 weeks of conceptional age

    Dev. Psychobiol.

    (1970)
  • I. Feinberg et al.

    Changes in EEG amplitude during sleep with age

  • I. Feinberg et al.

    Precise conservation of NREM period 1 (NREMPl) delta across naps and nocturnal sleep: implications for REM latency and NREM/REM alternation

    Sleep

    (1992)
  • R.M. Harper et al.

    Polygraphic studies of normal infants during the first six months of life. I. Heart rate and variability as a function of state

    Pediat. Res.

    (1976)
  • R.M. Harper et al.

    Polygraphic studies of normal infants and infants at risk for the sudden infant death syndrome: heart rate and variability as a function of state

    Pediat. Res.

    (1978)
  • R.M. Harper et al.

    Periodicity of sleep states is altered in infants at risk for the sudden infant death syndrome

    Science

    (1981)
  • R.M. Harper et al.

    Developmental patterns of heart rate and heart rate variability during sleep and waking in normal infants and infants at risk for the sudden infant death syndrome

    Sleep

    (1982)
  • T. Hoppenbrouwers et al.

    Sleep apnea and respiration in risk infants

    Clin. Res.

    (1977)
  • Cited by (30)

    • Ontogeny of EEG sleep from neonatal through infancy periods

      2011, Handbook of Clinical Neurology
      Citation Excerpt :

      The preferred methodological approach has been fast Fourier transform analyses, studied initially with full-term neonates (Ktonas et al., 1995; Witte et al., 1997; Lehtonen et al., 1998; Eiselt et al., 2001; Field et al., 2002), followed by more recent reports in preterm infants (Sawaguchi et al., 1996; Eiselt et al., 1997; Myers et al., 1997; Holthausen et al., 2000; Schramm et al., 2000; Kuhle et al., 2001; Vanhatalo et al., 2002). Similar calculations, based primarily on assumptions of linearity, were also described for specific neonatal and infant risk groups for sudden infant death syndrome (Schechtman et al., 1995), apnea (Schramm et al., 2000), hyperbilirubinemia (Gurses et al., 2002), white-matter necrosis (Inder et al., 2003), and asphyxia (Hellström-Westas, 1992), applying power analyses to one particular physiologic behavior, with little attention to the multiple neuronal networks that contemporaneously express state transitions. Single-channel monitoring devices have demonstrated that important global maturational trends can be documented using standard spectral values (Burdjalov et al., 2003) without regional or hemispheric specificity.

    • Cardiac Arrhythmogenesis during Sleep: Mechanisms, Diagnosis, and Therapy

      2010, Principles and Practice of Sleep Medicine: Fifth Edition
    • Ontogeny of EEG-sleep from neonatal through infancy periods

      2008, Sleep Medicine
      Citation Excerpt :

      The conventional linear analysis approach has been Fast Fourier transform analyses, applied initially to studies of full-term neonates [141–145], followed by more recent reports in preterm infants [23,146–154]. Similar calculations, based on these linear measures, were also described for specific neonatal and infant risk groups for sudden infant death syndrome [155], apnea [150,156], hyperbilirubinemia [157], white matter necrosis [158], and asphyxia [159]. These studies applied power analyses to only one particular physiologic behavior, with little attention to multiple behaviors which represent the multiple neuronal networks that contemporaneously express neonatal states.

    View all citing articles on Scopus
    View full text