ReviewFrontiers in pediatrics2019
Quantitative Preterm EEG Analysis: The Need for Caution in Using Modern Data Science Techniques.
Review in Frontiers in pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes.Scientific reports · 2020Trial
- Fathers, not mothers: the male singing voice and the preterm brain's response to song in the NICU.Pediatric research · 2026Article
- Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review.Neurology and therapy · 2026Review
- Impact of touch interventions on brain activity in moderately preterm infants: study protocol for a pilot randomised controlled trial.BMJ open · 2025Article
- Machine learning classification of EEG responses to pain-related vs non-pain-related stimulus in preterm infants.Pain reports · 2025Article
- Quantitative EEG features for the prediction of short-term neuromotor development outcome in premature neonates.Scientific reports · 2025Article
- Quantitative electroencephalogram in term neonates under different sleep states.Journal of clinical monitoring and computing · 2024Article
- Quantitative Electroencephalography in Term Neonates During the Early Postnatal Period Across Various Sleep States.Nature and science of sleep · 2024Article
- Quantitative EEG in the neonatal intensive care unit: Current application and future promise.Annals of the Child Neurology Society · 2023Review
- Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex.bioRxiv : the preprint server for biology · 2023Article
- Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy.Scientific data · 2023Article
- Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex.Frontiers in integrative neuroscience · 2023Article
- Oxidative Stress Biomarkers and Early Brain Activity in Extremely Preterm Infants: A Prospective Cohort Study.Children (Basel, Switzerland) · 2022Article
- [Biomarkers and neuromonitoring for prognosis of development after perinatal brain damage].Monatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde · 2022Review
- Relationship Between Early Functional and Structural Brain Developments and Brain Injury in Preterm Infants.Cerebellum (London, England) · 2021Article
- Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury.Frontiers in pediatrics · 2021Review
- [Effect of blood glucose on quantitative electroencephalography parameters in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020Article
- Neurodevelopmental trajectories from birth to childhood and their impairments: insights from passive, spontaneous, and locomotor-like movements.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hemodynamic changes during neonatal transition increase the vulnerability of the preterm brain to injury. Real-time monitoring of brain function during this period would help identify the immediate impact of these changes on the brain. Neonatal EEG provides detailed real-time information about newborn brain function but can be difficult to interpret for non-experts; preterm neonatal EEG poses even greater challenges. An objective quantitative measure of preterm brain health would be invaluable during neonatal transition to help guide supportive care and ultimately protect the brain. Appropriate quantitative measures of preterm EEG must be calculated and care needs to be taken when applying the many techniques available for this task in the era of modern data science. This review provides valuable information about the factors that influence quantitative EEG analysis and describes the common pitfalls. Careful feature selection is required and attention must be paid to behavioral state given the variations encountered in newborn EEG during different states. Finally, the detrimental influence of artifacts on quantitative EEG analysis is illustrated.
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Registered trials
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