Topography of maturational changes in EEG burst spectral power of the preterm infant with a normal follow-up at 2 years of age

W. Jennekens, H.J. Niemarkt, M. Engels, J.W. Pasman, Carola van Pul, P. Andriessen

Research output: Contribution to journalArticleAcademicpeer-review

19 Citations (Scopus)


OBJECTIVE: To quantify the electroencephalography (EEG) burst frequency spectrum of preterm infants by automated analysis and to describe the topography of maturational change in spectral parameters.

METHODS: Eighteen preterm infants <32weeks gestation and normal neurological follow-up at 2years underwent weekly 4-h EEG recordings (10-20 system). The recordings (n=77) represent a large variability in postmenstrual age (PMA, 28-36weeks). We applied an automated burst detection algorithm and performed spectral analysis. The frequency spectrum was divided into δ1 (0.5-1Hz), δ2 (1-4Hz), θ (4-8Hz), α (8-13Hz) and β (13-30Hz) bands. Spectral parameters were evaluated as a function of PMA by regression analysis. Results were interpolated and topographically visualised.

RESULTS: The majority of spectral parameters show significant change with PMA. Highest correlation is found for δ and θ band. Absolute band powers decrease with increasing PMA, while relative α and β powers increase. Maturational change is largest in frontal and temporal region.

CONCLUSIONS: Topographic distribution of maturational changes in spectral parameters corresponds with studies showing ongoing gyration and postnatal white matter maturation in frontal and temporal lobes.

SIGNIFICANCE: Computer analysis of EEG may allow objective and reproducible analysis for long-term prognosis and/or stratification of clinical treatment.

Original languageEnglish
Pages (from-to)2130-2138
Number of pages9
JournalClinical Neurophysiology
Issue number11
Publication statusPublished - Nov 2012


  • Algorithms
  • Brain
  • Brain Mapping
  • Child, Preschool
  • Electroencephalography
  • Female
  • Follow-Up Studies
  • Frontal Lobe
  • Humans
  • Infant, Newborn
  • Infant, Premature
  • Longitudinal Studies
  • Male
  • Prognosis
  • Spectrum Analysis
  • Temporal Lobe


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