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Preterm EEG: A Multimodal Neurophysiological Protocol
Published on: February 18, 2012
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Early EEG-burst sharpness and 2-year disability in extremely preterm infants
Anne Mette Plomgaard1, Nathan Stevenson2, James A Roberts2
1Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Pediatric Research
|July 27, 2023
Summary
Automated electroencephalogram (EEG) burst sharpness in preterm infants predicts neurodevelopmental impairment (NDI) and mental developmental index (MDI) at two years. This automated measure shows potential for large-scale application in early infant neurodevelopmental assessment.
Area of Science:
- Neonatal neurodevelopmental research
- Computational neuroscience
- Pediatric neurology
Background:
- Automated computational measures of electroencephalogram (EEG) offer potential for large-scale neurodevelopmental assessment in infants.
- Early EEG burst shape, specifically increased burst sharpness, was hypothesized to predict neurodevelopmental impairment (NDI) and mental developmental index (MDI) at two years of age.
- This prediction was explored as an addition to information gained from brain ultrasound.
Purpose of the Study:
- To investigate if automated EEG burst sharpness in extremely preterm infants can predict neurodevelopmental impairment (NDI) and mental developmental index (MDI) at two years of age.
- To assess the predictive value of EEG burst sharpness independently and in conjunction with brain ultrasound findings.
- To evaluate the robustness and applicability of a computational EEG measure using single-channel data.
Main Methods:
- Secondary analysis of data from the SafeBoosC-II randomized controlled trial involving extremely preterm infants.
- Automated algorithm applied to two hours of single-channel cross-brain EEG data to analyze burst sharpness.
- Co-primary outcomes were moderate-to-severe NDI and MDI at two years, with statistical analysis adjusted for gestational age, sex, and brain injury severity detected by ultrasound.
Main Results:
- In adjusted analyses, increased burst sharpness was associated with a 3.8-fold increased odds of moderate-to-severe NDI (p=0.008) and a reduction of 3.2 MDI points (p=0.14) per 0.1 burst sharpness unit increase.
- The mean burst sharpness was low (negative values) and showed limited variation in the cohort.
- Despite statistical significance for NDI, the likelihood ratio of a positive EEG test was approximately 2, indicating limited immediate clinical utility.
Conclusions:
- Automated, computational EEG burst measures in the first week of life are associated with neurodevelopmental outcomes at two years in preterm infants.
- This finding supports previous studies utilizing expert EEG interpretation and highlights the potential of automated analysis.
- The measure's robustness across different recording devices and its use of single-channel data enhance its potential applicability in clinical settings.
