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Published on: November 20, 2015
Physiologic brain dysmaturity in late preterm infants
Mark S Scher1, Mark W Johnson, Susan M Ludington
1Department of Pediatric Neurology, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA. mark.scher@uhhospitals.org
Insights
Healthy late preterm infants show distinct neonatal EEG sleep patterns compared to full-term infants, indicating differences in brain maturation and neuroplasticity. These EEG/sleep variations serve as biomarkers for preterm infants adapting to their condition.
Area of Science:
- Neonatal neuroscience
- Developmental pediatrics
- Clinical neurophysiology
Background:
- Late preterm infants (LPT) represent a significant portion of neonatal births.
- Understanding neurodevelopmental differences between LPT and full-term (FT) infants is crucial.
- Neonatal electroencephalogram (EEG) sleep patterns offer insights into brain maturation.
Purpose of the Study:
- To investigate and compare neonatal EEG sleep characteristics between healthy LPT and FT infants.
- To identify specific EEG/sleep measures that differentiate LPT from FT infants at similar postmenstrual ages (PMA).
Main Methods:
- Utilized 24-channel, multihour EEG recordings from LPT and FT infants.
- Analyzed EEG data for seven specific measures during entire recordings, active sleep (AS), and quiet sleep (QS) segments.
- Employed Z-score analysis for group comparisons, including matched FT infant cohorts.
Main Results:
- Six out of seven EEG/sleep measures revealed significant differences between LPT and matched FT infants (Z > 0.3).
- Key differentiating measures included rapid eye movements, arousals during QS, spectral correlations, power ratios, respiratory regularity, and sleep cycle length.
- These findings highlight distinct brain maturation patterns in LPT infants.
Conclusions:
- Quantitative neurophysiologic analysis of EEG/sleep demonstrates clear differences in brain maturation between LPT and FT infants at comparable PMA.
- Altered EEG/sleep patterns in LPT infants are potential biomarkers of developmental neuroplasticity.
- These biomarkers reflect neuronal network adaptations to prematurity in this vulnerable population.
Abstract:
Neonatal EEG sleep was used to determine whether differences are expressed between healthy late preterm and full-term (FT) groups. Twenty-seven 24-channel multihour studies were recorded at similar postmenstrual ages (PMA) and analyzed for eight asymptomatic late preterm infants (LPT) compared with 19 healthy FT infants as a preliminary analysis, followed by a comparison of a subset of eight FT infants, matched for gender, race, and PMA. Z scores were performed on data sets from each group pair comparing each of seven EEG/Sleep measures for entire recordings, active sleep (AS) and quiet sleep (QS) segments and artifact-free intervals. Six of seven measures showed differences between the eight LPT and eight matched FT cohort pair comparisons of >0.3; rapid eye movements, arousals during QS, spectral correlations between homologous centrotemporal regions during QS, spectral beta/alpha power ratios during AS and QS, a spectral measure of respiratory regularity during QS, and sleep cycle length. Quantitative neurophysiologic analyses define differences in brain maturation between LPT and FT infants at similar PMA. Altered EEG/Sleep behaviors in the LPT are biomarkers of developmental neuroplasticity involving interconnected neuronal networks adapting to conditions of prematurity for this largest segment of the preterm neonatal population.
