Characteristics of sleep EEG power spectra in healthy infants in the first two years of life

Sankupellay, Mangalam, Wilson, S., Heussler, H. S., Parsley, C., Yuill, M. and Dakin, C. (2011) Characteristics of sleep EEG power spectra in healthy infants in the first two years of life. Clinical Neurophysiology, 122 2: 236-243. doi:10.1016/j.clinph.2010.06.030

Author Sankupellay, Mangalam
Wilson, S.
Heussler, H. S.
Parsley, C.
Yuill, M.
Dakin, C.
Title Characteristics of sleep EEG power spectra in healthy infants in the first two years of life
Journal name Clinical Neurophysiology   Check publisher's open access policy
ISSN 1388-2457
Publication date 2011-02
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.clinph.2010.06.030
Volume 122
Issue 2
Start page 236
End page 243
Total pages 8
Place of publication Shannon, Ireland
Publisher Elsevier Ireland
Collection year 2012
Language eng
Formatted abstract
Objective: This study characterises and describes the maturational evolution of the healthy infant sleep electroencephalogram (EEG) longitudinally from 2 weeks to 24 months of age, by means of power spectral analysis.
Methods: A prospective cohort of 34 healthy infants underwent overnight polysomnography (PSG) at 2 weeks, and at 3, 6, 12 and 24 months of age. Sleep epochs were scored as Active Sleep (AS) and Quiet Sleep (QS) at 2 weeks of age and as Rapid Eye Movement (REM) and Non-REM (NREM) stages from 3 months onwards. Representative epochs were used to generate the EEG power spectra, from the central C3 derivation. These were analysed visually and quantitatively in AS/REM and QS/NREM sleep in the following bandwidths: delta (0.5–4 Hz); theta (4–8 Hz); alpha (8–11 Hz); sigma (11–15 Hz) and 0.5–25 Hz.
Results: Sleep EEG (central derivation) power spectra changed significantly in the different bandwidths as the infants matured. The emergence of a peak in the sigma bandwidth in NREM N2 sleep corresponded with the development of sleep spindles. Maturational changes were also seen in NREM N3 and in theta and alpha bandwidths in both AS/REM and QS/NREM.
Conclusions: Sleep EEG power spectra characteristics in healthy infants evolve in keeping with maturation and neurodevelopmental milestones.
Significance: This study provides an atlas of healthy infant sleep EEG in the early years of life, providing a basis for association with other neurodevelopmental measures and a normative dataset on which disease may be discriminated.
Keyword Sleep
Power spectra
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Online publication date: 22 July 2010

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
School of Medicine Publications
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