ArticleBrain communications2025
Functional connectivity as a prognostic biomarker for neurodevelopmental outcomes in preterm infants without severe brain injury.
Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tenecteplase Beyond the 4.5-h Window for Patients with Acute Ischemic Stroke: An Updated Meta-Analysis of Randomized Controlled Trials.CNS drugs · 2026Pooled it
- From oxidative stress to epigenetic regulation: Molecular mechanisms of preterm brain injury and neuroprotective strategies (Review).Molecular medicine reports · 2026Review
- Multi-level static and dynamic graph-theoretical analyses of resting-state functional networks in a Chinese cohort of preterm neonates.iScience · 2026Article
- Anxiety Symptoms in Preschool Children Born Very Preterm: Associations with Cognition and Neonatal Striatal Volumes.Children (Basel, Switzerland) · 2026Article
- Neurodevelopmental Trajectories in Preterm Neonates: Integrating Neuroimaging Modalities with Clinical Neurological Outcomes.Diagnostics (Basel, Switzerland) · 2026Review
- Cognition, internalizing symptoms and neonatal cingulate-amygdala interaction in children born very low birth weight.Frontiers in pediatrics · 2026Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Despite a decline in severe neonatal brain injury in preterm infants, neurodevelopmental impairment remains prevalent. Identifying early biomarkers for neurodevelopmental impairment, particularly in infants without severe neonatal brain injury, is crucial for intervention. This study explores whether brain dysmaturation, indicated by functional connectivity alterations at term-equivalent age, predicts neurodevelopmental impairment severity at 24 months corrected age in preterm infants without severe neonatal brain injury. In this observational cohort study, preterm infants born < 31 weeks' gestation without severe neonatal brain injury underwent resting-state functional MRI at term-equivalent age. Neurodevelopmental outcomes at corrected age 24 months were assessed using Bayley-III cognitive and motor composite scores, cerebral palsy severity, and neurosensory impairments. Functional connectivity alterations were analyzed in relation to cognitive, language, and motor outcomes. Machine learning models were applied to assess the predictive value of functional connectivity features alongside neonatal exposures for neurodevelopmental impairment severity. Among the 122 preterm infants, 89 (73%) infants had no/mild neurodevelopmental impairment, 27 (22%) had moderate neurodevelopmental impairment, and 6 (5%) showed severe neurodevelopmental impairment. Compared with the no/mild neurodevelopmental impairment group, the moderate/severe neurodevelopmental impairment group was significantly lower in gestational age, and required longer durations of invasive mechanical ventilation, oxygen therapy, vasopressors, and total parenteral nutrition during admission. Compared with term-born controls, a clear trend emerged across neurodevelopmental impairment severity levels: as impairment increased from the no/mild group to the moderate and severe groups, the clustering coefficient increased, whereas the global efficiency decreased. Statistical comparisons between the no/mild and moderate/severe groups, relative to term-born controls, confirmed these patterns (clustering coefficient:
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