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Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
Published on: September 6, 2017
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Neonatal quantitative electroencephalography and long-term outcomes: a systematic review
Charlotte van 't Westende1,2, Victor J Geraedts3, Tino van Ramesdonk1
1Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Developmental Medicine and Child Neurology
|December 21, 2021
Summary
Quantitative electroencephalogram (EEG) measures in newborns can predict long-term neurodevelopmental outcomes. These EEG markers may help identify infants needing early interventions for developmental challenges.
Area of Science:
- Neonatal neuroscience
- Developmental pediatrics
- Clinical neurophysiology
Background:
- Assessing long-term neurodevelopmental outcomes in infants is crucial for early intervention.
- Quantitative electroencephalogram (EEG) offers a non-invasive method to evaluate brain activity in neonates.
- Predictive biomarkers are needed to identify infants at risk for developmental difficulties.
Purpose of the Study:
- To evaluate quantitative electroencephalogram (EEG) measures as predictors of neurodevelopmental outcomes in infants up to 46 weeks postconceptional age.
- To include typically developing, preterm, and infants with various pathologies.
- To synthesize evidence on the association between neonatal EEG and long-term outcomes.
Main Methods:
- Systematic literature search of PubMed, Embase, and Web of Science up to January 2021.
- Inclusion of studies correlating neonatal quantitative EEG (conventional and amplitude-integrated) with neurodevelopmental outcomes at ≥2 years.
- Categorization of outcomes into cognitive, motor, composite scores, and other assessments.
Main Results:
- Twenty-four studies met the inclusion criteria.
- Positive associations were found between conventional EEG power (delta, theta, alpha, beta bands) and EEG amplitudes with favorable cognitive and motor outcomes.
- Lower prevalence of discontinuous background patterns correlated with better long-term neurodevelopmental outcomes.
Conclusions:
- Neonatal quantitative EEG measures show potential as prognostic biomarkers.
- These EEG markers can help identify infants at risk for long-term neurodevelopmental difficulties.
- Early identification facilitates timely intervention for improved infant outcomes.

