Brain MRI before and at term equivalent age predicts motor and cognitive outcomes in very preterm infants

Brain Magnetic Resonance Imaging (MRI) of high-risk infants in the neonatal period (from 26 weeks postmenstrual age to Term Equivalent Age (TEA)) is increasingly being used for the detection of brain injuries, and the early prognostication of adverse outcomes such as Cerebral Palsy (CP). While most imaging is performed around TEA in clinical practice for infants born preterm (<37 weeks of gestation), this would often require families to return to hospital for imaging. In this work, we extract structural biomarkers from MRI acquired both before and at TEA in a cohort of very preterm infants from the PPREMO and PREBO studies (n = 100), to determine if either time-point, or both combined, are predictive of both Bayley Scales of Infant and Toddler Development - Third Edition (Bayley-III) and the Neuro-sensory Motor Developmental Assessment (NSMDA) at 2 years. Using multivariable regression, moderately strong and statistically significant associations were found between brain structure on both early and TEA MRIs with 2-year outcomes (r = 0.39-0.55 for early MRI, r = 0.37-0.49 for Term MRI, r = 0.37-0.56 for early and TEA MRI combined). Importantly, brain biomarkers associated with early childhood outcomes from MRIs were identified, including white and grey matter volumes, deep grey matter and cerebellar volumes, and gyrification and surface area across the whole cortex. Early MRI showed the best prognostic accuracy along with combining timepoints, indicating the potential clinical benefit of Early MRI in predicting adverse outcomes.

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Publication Details

Journal
Neuroimage Reports
Published
2025-04-19
DOI
https://doi.org/10.1016/j.ynirp.2025.100262
Citations
4
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
13.98
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article

Brain MRI before and at term equivalent age predicts motor and cognitive outcomes in very preterm infants

Michael Fahey, Liza van Eijk, Jürgen Fripp, Roslyn N. Boyd et al.
4 citations
Neuroimage Reports
Neonatal and fetal brain pathology
13.98
article

Brain MRI before and at term equivalent age predicts motor and cognitive outcomes in very preterm infants

Michael Fahey, Liza van Eijk, Jürgen Fripp, Roslyn N. Boyd, Kerstin Pannek, Joanne M. George, Alex M. Pagnozzi, Paul B. Colditz, DanaKai Bradford, Michael Ditchfield, Anil K. Malhotra, Samudragupta Bora
article en
4 citations

Abstract

Brain Magnetic Resonance Imaging (MRI) of high-risk infants in the neonatal period (from 26 weeks postmenstrual age to Term Equivalent Age (TEA)) is increasingly being used for the detection of brain injuries, and the early prognostication of adverse outcomes such as Cerebral Palsy (CP). While most imaging is performed around TEA in clinical practice for infants born preterm (<37 weeks of gestation), this would often require families to return to hospital for imaging. In this work, we extract structural biomarkers from MRI acquired both before and at TEA in a cohort of very preterm infants from the PPREMO and PREBO studies (n = 100), to determine if either time-point, or both combined, are predictive of both Bayley Scales of Infant and Toddler Development - Third Edition (Bayley-III) and the Neuro-sensory Motor Developmental Assessment (NSMDA) at 2 years. Using multivariable regression, moderately strong and statistically significant associations were found between brain structure on both early and TEA MRIs with 2-year outcomes (r = 0.39-0.55 for early MRI, r = 0.37-0.49 for Term MRI, r = 0.37-0.56 for early and TEA MRI combined). Importantly, brain biomarkers associated with early childhood outcomes from MRIs were identified, including white and grey matter volumes, deep grey matter and cerebellar volumes, and gyrification and surface area across the whole cortex. Early MRI showed the best prognostic accuracy along with combining timepoints, indicating the potential clinical benefit of Early MRI in predicting adverse outcomes.

Neuroimage ReportsVol. 5(2)
Commonwealth Scientific and Industrial Research Organisation (AU), The University of Queensland (AU), Children’s Health Queensland Hospital and Health Service (AU), Mater Research (AU), Monash Children’s Hospital (AU), Monash Health (AU), Australian e-Health Research Centre (AU), Children's Health Queensland Hospital and Health Service (AU), Monash University (AU), James Cook University (AU)
Openalex Percentile: Top 1%
Neonatal and fetal brain pathology
13.98
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