ArticleBrain : a journal of neurology2020
Modelling brain development to detect white matter injury in term and preterm born neonates.
Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of immune-based interventions for perinatal neuroprotection: closing the gap between animal studies and human trials.Journal of neuroinflammation · 2023Pooled it
- Development and internal validation of an exploratory clinical prediction model for MRI-defined white matter injury in moderate-to-late preterm infants: a single-center retrospective study.Translational pediatrics · 2026Article
- Article
- Article
- SEPoolConvNeXt: A Deep Learning Framework for Automated Classification of Neonatal Brain Development Using T1- and T2-Weighted MRI.Journal of clinical medicine · 2025Article
- Punctate White Matter Abnormality in Moderate-to-Late Preterm Infants.Annals of neurology · 2025Observational
- PARADISE: Personalized and regional adaptation for HIE disease identification and segmentation.Medical image analysis · 2025Article
- Foetal cortical expansion is associated with neurodevelopmental outcome at 2-years in congenital heart disease: a longitudinal follow-up study.EBioMedicine · 2025Article
- Exploring the feasibility and clinical impact of ultrasound microvascular flow imaging in detecting brain injury in hyperbilirubinemia neonates.Scientific reports · 2025Article
- Construction of an early diagnostic model for brain injury in premature infants based on combined amplitude-integrated electroencephalography and cranial ultrasound parameters.American journal of translational research · 2025Article
- ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.IEEE transactions on medical imaging · 2023Article
- Interleukin-1: an important target for perinatal neuroprotection?Neural regeneration research · 2023Review
- Does the current state of biomarker discovery in autism reflect the limits of reductionism in precision medicine? Suggestions for an integrative approach that considers dynamic mechanisms between brain, body, and the social environment.Frontiers in psychiatry · 2023Article
- Article
- How Machine Learning is Powering Neuroimaging to Improve Brain Health.Neuroinformatics · 2022Review
- Maternal depressive symptoms, neonatal white matter, and toddler social-emotional development.Translational psychiatry · 2022Article
- An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field.Developmental cognitive neuroscience · 2022Review
- White matter myelination during early infancy is linked to spatial gradients and myelin content at birth.Nature communications · 2022Article
- Article
- Expert consensus on the clinical practice of neonatal brain magnetic resonance imaging.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022Article
Corrections and comments
- Commented on by
- Erratum issuedCorrigendum.2020
Authors and funding
23 authors.
Funding
Abstract
Premature birth occurs during a period of rapid brain growth. In this context, interpreting clinical neuroimaging can be complicated by the typical changes in brain contrast, size and gyrification occurring in the background to any pathology. To model and describe this evolving background in brain shape and contrast, we used a Bayesian regression technique, Gaussian process regression, adapted to multiple correlated outputs. Using MRI, we simultaneously estimated brain tissue intensity on T1- and T2-weighted scans as well as local tissue shape in a large cohort of 408 neonates scanned cross-sectionally across the perinatal period. The resulting model provided a continuous estimate of brain shape and intensity, appropriate to age at scan, degree of prematurity and sex. Next, we investigated the clinical utility of this model to detect focal white matter injury. In individual neonates, we calculated deviations of a neonate's observed MRI from that predicted by the model to detect punctate white matter lesions with very good accuracy (area under the curve > 0.95). To investigate longitudinal consistency of the model, we calculated model deviations in 46 neonates who were scanned on a second occasion. These infants' voxelwise deviations from the model could be used to identify them from the other 408 images in 83% (T2-weighted) and 76% (T1-weighted) of cases, indicating an anatomical fingerprint. Our approach provides accurate estimates of non-linear changes in brain tissue intensity and shape with clear potential for radiological use.
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