ArticlePediatric neurology2021
EEG Spectral Power: A Proposed Physiological Biomarker to Classify the Hypoxic-Ischemic Encephalopathy Severity in Real Time.
Article in Pediatric neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- A Pilot Study on Dynamic Multimodal Neuromonitoring for Predicting Neurodevelopmental Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy.Developmental neuroscience · 2026Article
- Exploratory deep-learning-driven early risk stratification of significant neurological injury in pediatric extracorporeal membrane oxygenation.Frontiers in digital health · 2026Article
- Quantitative EEG features during the first day correlate to clinical outcome in perinatal asphyxia.Pediatric research · 2025Article
- ECI biocommentary: Srinivas Kota.Pediatric research · 2024Article
- Prognostic value of quantitative EEG in early hours of life for neonatal encephalopathy and neurodevelopmental outcomes.Pediatric research · 2024Article
- Perinatal asphyxia impact on networks of cortical activity.Pediatric research · 2024Article
- EEG Spectral Power and Neurovascular Coupling as Early Predictors of Neurodevelopmental Outcome in Neonatal Hypoxic-Ischemic Encephalopathy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Deep Learning for Generalized EEG Seizure Detection after Hypoxia-Ischemia-Preclinical Validation.Bioengineering (Basel, Switzerland) · 2024Article
- Quantitative EEG in the neonatal intensive care unit: Current application and future promise.Annals of the Child Neurology Society · 2023Review
- Feasibility of EEG Phase-Amplitude Coupling to Stratify Encephalopathy Severity in Neonatal HIE Using Short Time Window.Brain sciences · 2022Article
- EEG phase-amplitude coupling to stratify encephalopathy severity in the developing brain.Computer methods and programs in biomedicine · 2022Article
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6 authors at 3 institutions in 1 country.
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Abstract
backgroundMild hypoxic-ischemic encephalopathy (HIE) constitutes a large unstudied population with considerable debate on how to define and treat due to the dynamic evolution of the clinical signs of encephalopathy. We propose to address this gap with quantitative physiological biomarkers to aid in stratification of the disease severity. The objectives of this prospective cohort study were to measure the electroencephalographic (EEG) power as an objective biomarker of the evolution of the clinical encephalopathy in newborns with mild to severe HIE.
methodsEEG was collected in infants with HIE using four bipolar electrodes analyzed for the first three hours of the recording. Delta power (DP, 0.5 to 4 Hz) and total power (TP, 0.5 to 20 Hz) were compared between groups with different HIE severity using a univariate ordinal logistic regression model and receiver operating characteristic curves.
resultsA total of 44 term-born infants with mild to severe HIE were identified within six hours of birth. The DP and TP values were significantly higher for the mild group than for the moderate group for all bipolar electrodes. A one-unit increase in DP was associated with significantly lower odds of encephalopathy. DP best distinguished mild from higher encephalopathy grades by area under the curve.
conclusionsWe conclude that DP and TP are sensitive real-time biomarkers for monitoring the dynamic evolution of the encephalopathy severity in the first day of life. The quantitative EEG power may lead to timely recognition of the worsening of the encephalopathy and guide future therapeutic interventions targeting mild HIE.
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