• Pratheek S Bobba, Clara F Weber, Adrian R Acuna Higaki, Pratik Mukherjee, Dustin Scheinost, R Todd Constable, Laura Ment, Sarah N Taylor, and Seyedmehdi Payabvash.
• Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
• J Neuroimaging. 2023 Nov 1; 33 (6): 9911002991-1002.

Background And PurposeVery preterm infants (VPIs, <32 weeks gestational age at birth) are prone to long-term neurological deficits. While the effects of birth weight and postnatal growth on VPIs' neurological outcome are well established, the neurobiological mechanism behind these associations remains elusive. In this study, we utilized diffusion tensor imaging (DTI) to characterize how birth weight and postnatal weight gain influence VPIs' white matter (WM) maturation.MethodsWe included VPIs with complete birth and postnatal weight data in their health record, and DTI scan as part of their predischarge Magnetic Resonance Imaging (MRI). We conducted voxel-wise general linear model and tract-based regression analyses to explore the impact of birth weight and postnatal weight gain on WM maturation.ResultsWe included 91 VPIs in our analysis. After controlling for gestational age at birth and time between birth and scan, higher birth weight Z-scores were associated with DTI markers of more mature WM tracts, most prominently in the corpus callosum and sagittal striatum. The postnatal weight Z-score changes over the first 4 weeks of life were also associated with increased maturity in these WM tracts, when controlling for gestational age at birth, birth weight Z-score, and time between birth and scan.ConclusionsIn VPIs, birth weight and post-natal weight gain are associated with markers of brain WM maturation, particularly in the corpus callosum, which can be captured on discharge MRI. These neuroimaging metrics can serve as potential biomarkers for the early effects of nutritional interventions on VPIs' brain development.© 2023 American Society of Neuroimaging.

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