Quantitative approach to early neonatal EEG visual analysis in hypoxic-ischemic encephalopathy severity: Bridging the gap between eyes and machine

To identify relevant quantitative parameters for early classification of neonatal hypoxic-ischemic encephalopathy (HIE) severity from conventional EEGs. Ninety EEGs, recorded in full-term infants within 6 h of life after perinatal hypoxia, were visually classified according to the French EEG classif...

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Bibliographic Details
Published in:Neurophysiologie clinique 2021-03, Vol.51 (2), p.121-131
Main Authors: Lacan, Laure, Betrouni, Nacim, Lamblin, Marie-Dominique, Chaton, Laurence, Delval, Arnaud, Bourriez, Jean-Louis, Storme, Laurent, Derambure, Philippe, NguyenThe Tich, Sylvie
Format: Article
Language:English
Subjects:
Classification
EEG
Encephalopathy
French classification
HIE
Hypoxia
Infants
Ischemia
Lactic acid
Life Sciences
Neonatal EEG
Neonates
Perinatal asphyxia
pH effects
Quantitative EEG
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Summary:To identify relevant quantitative parameters for early classification of neonatal hypoxic-ischemic encephalopathy (HIE) severity from conventional EEGs. Ninety EEGs, recorded in full-term infants within 6 h of life after perinatal hypoxia, were visually classified according to the French EEG classification into three groups of increasing HIE severity. Physiologically significant EEG features (signal amplitude, continuity and frequency content) were automatically quantified using different parameters. The EEG parameters selection was based on their ability to reproduce the visual EEG classification. Post hoc analysis based on clinical outcome was performed. Six EEG parameters were selected, with overall EEG classification performances between 61% and 70%. All parameters differed significantly between group 3 (severe) and groups 1 (normal-mildly abnormal) and 2 (moderate) EEGs (p 
ISSN:0987-7053
1769-7131
DOI:10.1016/j.neucli.2020.12.003