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Updated: Jun 30, 2026
Preterm EEG: A Multimodal Neurophysiological Protocol
Published on: February 18, 2012
Combined Use of Electroencephalography and Magnetic Resonance Imaging in the Prognostication of Neurodevelopmental
Corey D Forrest1, Tommaso Biagioni2, Helen G Liley3
1QIMR Berghofer, Brisbane, Australia; Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia; Mater Research, The University of Queensland, Brisbane, Australia; Grantley Stable Neonatal Unit, The Royal Brisbane and Womens' Hospital, Brisbane, Australia.
Insights
Combining electroencephalography (EEG) and magnetic resonance imaging (MRI) accurately predicts neurodevelopmental outcomes in preterm infants. This multimodal approach offers superior prognostication compared to using EEG or MRI alone for assessing brain injury.
Area of Science:
- Neonatal neurology
- Neurodevelopmental outcomes
- Medical imaging and electrophysiology
Background:
- Neurological injury is a significant cause of neurodevelopmental issues in preterm infants.
- Accurate prognostication is crucial for family support and targeted interventions.
- Electroencephalography (EEG) and magnetic resonance imaging (MRI) assess brain function and structure.
Purpose of the Study:
- To systematically review the prognostic capabilities of EEG and MRI, individually and combined.
- To predict neurodevelopmental outcomes in preterm-born infants.
Main Methods:
- Systematic review of PubMed, Embase, Web of Science, and Cochrane databases.
- Inclusion criteria: studies using both MRI and EEG in preterm infants for outcome prediction.
- Meta-analysis of pooled sensitivity and specificity values.
Main Results:
- 12 studies including 1630 infants were reviewed; 7 underwent meta-analysis.
- EEG predicted abnormal outcomes with 64% sensitivity and 70% specificity.
- MRI predicted abnormal outcomes with 64% sensitivity and 89% specificity.
- Combined EEG and MRI predicted abnormal outcomes with 70% sensitivity and 96% specificity.
Conclusions:
- Combined EEG and MRI demonstrate high sensitivity and specificity for predicting neurodevelopmental outcomes in preterm infants.
- The combined approach is superior to individual tests.
- Multimodal neurological assessment is an emerging but promising practice in neonates.
Background:
Neurological injury remains a major cause of neurodevelopmental morbidity in preterm-born infants. Accurate prognostication is essential for support of families and to target interventions. Electroencephalography (EEG) and magnetic resonance imaging (MRI) can be used to precisely assess brain function and structure in preterm infants. This systematic review assessed the prognostic capacity of EEG and MRI alone, and in combination, for the prediction of neurodevelopmental outcomes in preterm-born infants.
Methods:
PubMed, Embase, Web of Science, and Cochrane databases were searched from inception until April 22, 2025. Studies were included if they examined the use of both MRI and EEG in preterm-born infants to predict neurodevelopmental outcomes.
Results:
From 1669 records screened, 12 studies reporting 1630 infants were included in the systematic review. Of these 12, seven were sufficiently homogenous for quantitative meta-analysis, yielding pooled sensitivity and specificity values across 952 infants: EEG prognosticated abnormal neurodevelopmental outcomes with sensitivity 64% (95% confidence interval [CI] 48-80%) and specificity 70% (95% CI 59-81%); MRI prognosticated abnormal neurodevelopmental outcomes with sensitivity 64% (95% CI 48-80%) and specificity 89% (95% CI 81-97%). Three of these seven studies, reporting 372 infants, were sufficiently comparable to meta-analyze the combination of EEG and MRI, which predicted neurodevelopmental outcome with sensitivity 70% (95% CI 49-90%) and specificity 96% (95% CI 93-100%).
Conclusions:
The combined use of EEG and MRI can predict abnormal neurodevelopment in preterm-born infants with high sensitivity and specificity and was superior to either test in isolation; however, data are limited as multimodal neurological-assessment is still an emerging practice in neonates.
