Related Experiment Video
Updated: May 21, 2025
Preterm EEG: A Multimodal Neurophysiological Protocol
Published on: February 18, 2012
Electroencephalography in Preterm Infants for Predicting Neurodevelopmental Outcomes: A Systematic Review and
Vijay Kumar Krishnegowda1, Prathik Bandiya2, Tapas Bandyopadhyay3
1Department of Neonatology, Institute of Medical Sciences and SUM Hospital, Bhubaneswar, Orissa, India.
Insights
Electroencephalography (EEG) and amplitude-integrated EEG (aEEG) show low sensitivity but acceptable specificity for predicting neurodevelopmental impairment (NDI) in preterm infants. Further research is needed to improve their predictive accuracy for NDI outcomes.
Area of Science:
- Neonatal Neurology
- Developmental Neuroscience
- Clinical Neurophysiology
Background:
- Electroencephalography (EEG) and amplitude-integrated EEG (aEEG) are established tools for assessing brain function in preterm infants.
- Predicting neurodevelopmental impairment (NDI) in this vulnerable population is crucial for timely intervention.
Purpose of the Study:
- To systematically review and meta-analyze the diagnostic accuracy of EEG and aEEG for predicting NDI in preterm infants.
Main Methods:
- A comprehensive literature search was conducted across major databases (MEDLINE, SCOPUS, Embase, Web of Science, Cochrane Library) until November 2023.
- Included were observational studies with neurodevelopmental assessments at least six months corrected age (CA).
- A Bayesian random-effects bivariate meta-analysis was performed, with risk of bias and evidence certainty assessed using QUADAS-2 and GRADE.
Main Results:
- The meta-analysis included 26 studies (3363 infants).
- For any NDI, EEG/aEEG sensitivity was 63.9% and specificity 87.6%.
- For severe NDI, sensitivity was 59.7% and specificity 85.2%. Evidence certainty was low.
Conclusions:
- EEG and aEEG demonstrate potentially suboptimal sensitivity but acceptable-to-high specificity in predicting any NDI and severe NDI in preterm infants.
- The findings suggest these neurophysiological methods may require refinement or combination with other assessments for improved NDI prediction.
Background:
Electroencephalography (EEG) and amplitude-integrated EEG (aEEG) have been utilized to predict neurodevelopmental impairment (NDI) in preterm infants.
Methods:
MEDLINE, SCOPUS, Embase, Web of Science, and Cochrane Library were searched from inception until November 1, 2023. Observational studies evaluating EEG and aEEG and neurodevelopment assessment performed at least after six months corrected age (CA) were included. A diagnostic test accuracy (DTA) meta-analysis using a Bayesian random-effects bivariate model was performed. QUADAS-2 was used to assess the risk of bias, and GRADE approach was used to ascertain the certainty of evidence.
Results:
Thirty-eight studies (n = 4667) were included in the systematic review of which 26 studies (n = 3363) were synthesized in a DTA meta-analysis. EEG and aEEG had a sensitivity of 63.9% (95% credible intervals [CrI]: 52.1%, 76.3%) and specificity of 87.6% (80.9%, 94.1%) for the outcome of any NDI (<1 S.D. from the mean value for the CA). For the outcome of severe NDI (<2 S.D.s from the mean value for the CA) (10 studies, n = 1075), the sensitivity was 59.7% (42.3%, 75.9%) and specificity was 85.2% (72.7%, 92.4%). Evidence certainty was very low to low. Subgroup analysis of studies that had utilized Bayley Scales of Infant and Toddler Development between 18 and 30 months CA (12 studies, n = 1202) for neurodevelopmental assessment revealed a sensitivity of 59% (42.3%, 74.7%) and specificity of 83.7% (75.8%, 90.1%) for any NDI.
Conclusion:
EEG and aEEG possibly have suboptimal sensitivity and an acceptable-to-high specificity in predicting any NDI and severe NDI in preterm infants.
