ArticleScientific reports2024
Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cortical Region Reporting Patterns in Neurodevelopmental Disorders: A Systematic Review of fNIRS Studies.Biosensors · 2026Pooled it
- Applications and advances of combined fMRI-fNIRs techniques in brain functional research.Frontiers in neurology · 2025Review
- The functional near infrared spectroscopy applications in children with developmental diseases: a review.Frontiers in neurology · 2025Review
- Monitoring neonatal brain function: recent advances in functional near-infrared spectroscopy (fNIRS).Frontiers in pediatrics · 2025Review
- The role of endothelial frequency in the cerebral blood flow control during neonatal asphyxia: a retrospective longitudinal study.BMC pediatrics · 2024Article
- Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy.Scientific reports · 2024Article
- Assessing the consistency and sensitivity of the neural correlates of narrative stimuli using functional near-infrared spectroscopy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Authors and funding
13 authors.
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Abstract
Hypoxic-ischemic encephalopathy (HIE) results from a lack of oxygen to the brain during the perinatal period. HIE can lead to mortality and various acute and long-term morbidities. Improved bedside monitoring methods are needed to identify biomarkers of brain health. Functional near-infrared spectroscopy (fNIRS) can assess resting-state functional connectivity (RSFC) at the bedside. We acquired resting-state fNIRS data from 21 neonates with HIE (postmenstrual age [PMA] = 39.96), in 19 neonates the scans were acquired post-therapeutic hypothermia (TH), and from 20 term-born healthy newborns (PMA = 39.93). Twelve HIE neonates also underwent resting-state functional magnetic resonance imaging (fMRI) post-TH. RSFC was calculated as correlation coefficients amongst the time courses for fNIRS and fMRI data, respectively. The fNIRS and fMRI RSFC maps were comparable. RSFC patterns were then measured with graph theory metrics and compared between HIE infants and healthy controls. HIE newborns showed significantly increased clustering coefficients, network efficiency and modularity compared to controls. Using a support vector machine algorithm, RSFC features demonstrated good performance in classifying the HIE and healthy newborns in separate groups. Our results indicate the utility of fNIRS-connectivity patterns as potential biomarkers for HIE and fNIRS as a new bedside tool for newborns with HIE.
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