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Published on: January 26, 2019
Brain maturation in the first 3 months of life, measured by electroencephalogram: A comparison between preterm and
Caroline Guyer1, Helene Werner2, Flavia Wehrle3
1Child Development Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zürich, Switzerland.
Insights
Topographical analysis of sleep electroencephalogram (EEG) reveals differences in brain maturation between preterm and term infants. This method can help identify preterm infants at risk for neurodevelopmental impairments early in life.
Area of Science:
- Neonatal neuroscience
- Developmental pediatrics
- Clinical neurophysiology
Background:
- Preterm infants face risks of impaired brain maturation and subsequent neurodevelopmental issues.
- High-density electroencephalogram (EEG) during sleep can reflect brain maturation.
- Early identification of at-risk preterm infants is crucial for timely intervention.
Purpose of the Study:
- To investigate if topographical analysis of sleep EEG can differentiate brain maturation between preterm and term infants.
- To determine if EEG patterns at term age predict later neurodevelopmental status at 3 months corrected age.
Main Methods:
- Compared 18-channel daytime sleep-EEG data from 20 preterm and 20 term infants.
- Recordings were taken at term age and 3 months corrected age (for preterm infants).
- Analyzed power spectrum and topographical distribution of maximal power density.
Main Results:
- Preterm infants showed immature power spectra at term age, which normalized by 3 months.
- Qualitative differences in topographical power distribution persisted until 3 months.
- Preterm infants exhibited distinct temporal and occipital activation patterns compared to term infants.
- Lower maturity at term age predicted lower maturity at 3 months.
Conclusions:
- Topographical analysis of sleep EEG effectively reveals differences in brain maturation between preterm and term infants.
- This EEG mapping approach shows potential for early identification of preterm infants at risk for neurodevelopmental impairments.
Objective:
Preterm infants are at risk for altered brain maturation resulting in neurodevelopmental impairments. Topographical analysis of high-density electroencephalogram during sleep matches underlying brain maturation. Using such an EEG mapping approach could identify preterm infants at risk early in life.
Methods:
20 preterm (gestational age < 32 weeks) and 20 term-born infants (gestational age > 37 weeks) were recorded by 18-channel daytime sleep-EEG at term age (GA 40 weeks for preterm and 2-3 days after birth for term infants) and 3 months (corrected age for preterm infants).
Results:
Preterm infant's power spectrum at term age is immature, leveling off with term infants at 3 months of age. Topographical distribution of maximal power density however, reveals qualitative differences between the groups until 3 months of age. Preterm infants exhibit more temporal than central activation at term age and more occipital than central activation at 3 months of age. Moreover, being less mature at term age predicts being less mature at 3 months of age.
Conclusion:
Topographical analysis of sleep EEG reveals changes in brain maturation between term and preterm infants early in life.
Significance:
In future, automated analysis tools using topographical power distribution could help identify preterm infants at risk early in life.
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