ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Machine Learning-Derived Active Sleep as an Early Predictor of White Matter Development in Preterm Infants.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 16 citations in OpenAlex.
- Twitching in sleeping premature infants provides a sensitive behavioral assay of early motor control.iScience · 2026Article
- Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized Care.Health science reports · 2026Article
- Article
- Sleep During NICU Care Is Associated With Proportional Cerebellar Size at Term-Equivalent Age in Extrem Infantsmely Preter.Cerebellum (London, England) · 2026Article
- Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.JMIR pediatrics and parenting · 2026Article
- Sleep and infant development in the first year.Pediatric research · 2026Article
- Identifying heart rate characteristics of sleep states of preterm infants using video analysis.Scientific reports · 2026Article
- Twitching in sleeping premature infants provides a sensitive behavioral assay of early motor control.bioRxiv : the preprint server for biology · 2026Article
- From Cradle to Early-Life Sleep: A Bibliometric Analysis of Global Research on Neonatal Sleep.Nature and science of sleep · 2026Article
- The impact of sleep in high-risk infants.Pediatric research · 2025Review
- Identifying Heart Rate Characteristics of Sleep States of Preterm Infants Using Video Analysis.Research square · 2025Article
- REM refines and rescues memory representations: a new theory.Sleep advances : a journal of the Sleep Research Society · 2025Review
- Sleep state-dependent development of resting-state functional connectivity during the preterm period.Sleep · 2024Article
- Sleep as a driver of pre- and postnatal brain development.Pediatric research · 2024Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
White matter dysmaturation is commonly seen in preterm infants admitted to the neonatal intensive care unit (NICU). Animal research has shown that active sleep is essential for early brain plasticity. This study aimed to determine the potential of active sleep as an early predictor for subsequent white matter development in preterm infants. Using heart and respiratory rates routinely monitored in the NICU, we developed a machine learning-based automated sleep stage classifier in a cohort of 25 preterm infants (12 females). The automated classifier was subsequently applied to a study cohort of 58 preterm infants (31 females) to extract active sleep percentage over 5-7 consecutive days during 29-32 weeks of postmenstrual age. Each of the 58 infants underwent high-quality T2-weighted magnetic resonance brain imaging at term-equivalent age, which was used to measure the total white matter volume. The association between active sleep percentage and white matter volume was examined using a multiple linear regression model adjusted for potential confounders. Using the automated classifier with a superior sleep classification performance [mean area under the receiver operating characteristic curve (AUROC) = 0.87, 95% CI 0.83-0.92], we found that a higher active sleep percentage during the preterm period was significantly associated with an increased white matter volume at term-equivalent age [
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.