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Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoring

2023-01-25

Abstract excerpt

The preterm neonate can experience stressors that affect the rate of brain maturation and lead to long-term neurodevelopmental deficits. However, some neonates who are born early follow normal developmental trajectories. Extraction of data from electroencephalography (EEG) signals can be used to calculate the neonate’s brain age which can be compared to their true age. Discrepancies between true age and brain age...

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Literature Corpus work
0e4e600e-78bf-5816-97bb-53ff5b900f35
DOI
10.1101/2023.01.24.525361
Open publication

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Brain age as an estimator of neurodevelopmental outcome: A deep learning approach for neonatal cot-side monitoringDOI 10.1101/2023.01.24.525361
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