Abstract
Objective
The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI.
Methods
91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro.
Results
A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found.
Conclusions
aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services.
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Acknowledgements
The authors thank Elisa Maietti for encouragement and support. PP is grateful to Camilla degli Scrovegni for continuous support. We are indebted to our medical, EEG technicians and nursing colleagues, the infants and their parents who agreed to take part in this study.
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AT conceptualized and designed the study, participated in data acquisition, interpreted aEEG traces and wrote the manuscript. MN participated in acquisition of data and revised the article critically for content. JS interpreted brain MRI scans and participated in acquisition of data. AA interpreted conventional EEG traces and participated in acquisition of data. PP conceptualized the study, supervised data collection, and reviewed the manuscript. GA conceptualized and designed the study, interpreted aEEG traces, analyzed and interpreted data, wrote the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
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Tarocco, A., Natile, M., Sarajlija, J. et al. Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term. J Perinatol 42, 880–884 (2022). https://doi.org/10.1038/s41372-021-01295-0
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DOI: https://doi.org/10.1038/s41372-021-01295-0