Early Signatures of Brain Injury in the Preterm Neonatal EEG

Author:

Abbasi Hamid12ORCID,Battin Malcolm R.3,Butler Robyn3,Rowe Deborah3,Lear Benjamin A.1,Gunn Alistair J.1ORCID,Bennet Laura1

Affiliation:

1. Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand

2. Auckland Bioengineering Institute (ABI), University of Auckland, Auckland 1010, New Zealand

3. Department of Newborn Services, Auckland City Hospital, Auckland 1023, New Zealand

Abstract

Reliable prognostic biomarkers are needed to support the early diagnosis of brain injury in extremely preterm infants, and to develop effective neuroprotective protocols that are tailored to the progressing phases of injury. Experimental and clinical research shows that severity of neuronal damage is correlated with changes in the electroencephalogram (EEG) after hypoxic-ischemia (HI). We have previously reported that micro-scale sharp-wave EEG waveforms have prognostic utility within the early hours of post-HI recordings in preterm fetal sheep, before injury develops. This article aims to investigate whether these subtle EEG patterns are translational in the early hours of life in clinical recordings from extremely preterm newborns. This work evaluates the existence and morphological similarity of the sharp-waves automatically identified throughout the entire duration of EEG data from a cohort of fetal sheep 6 h after HI (n = 7, at 103 ± 1 day gestation) and in recordings commencing before 6 h of life in extremely preterm neonates (n = 7, 27 ± 2.0 weeks gestation). We report that micro-scale EEG waveforms with similar morphology and characteristics (r = 0.94) to those seen in fetal sheep after HI are also present after birth in recordings started before 6 h of life in extremely preterm neonates. This work further indicates that the post-HI sharp-waves show rapid morphological evolution, influenced by age and/or severity of neuronal loss, and thus that automated algorithms should be validated against such signal variations. Finally, this article discusses the need for more focused research on the early assessment of EEG changes in preterm infants to help determine the timing of brain injury to identify biomarkers that could assist in targeting novel therapies for particular phases of injury.

Funder

Health Research Council of New Zealand

Publisher

MDPI AG

Subject

General Medicine

Reference53 articles.

1. Trends in survival, perinatal morbidities and two-year neurodevelopmental outcomes in extremely low-birthweight infants over four decades;Zayegh;Paediatr. Perinat. Epidemiol.,2022

2. Ictal and interictal electrographic seizure durations in preterm and term neonates;Scher;Epilepsia,1993

3. Management of seizures in neonates with neonatal encephalopathy treated with hypothermia;Mailo;Semin. Fetal Neonatal Med.,2021

4. Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time-frequency distributions;Raurale;J. Neural Eng.,2021

5. Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network;Raurale;Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC),2020

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