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Tract-Based Spatial Statistics in Preterm-Born Neonates Predicts Cognitive and Motor Outcomes at 18 Months.

E G Duerden1, J Foong1, V Chau2

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Early diffusion MR imaging in preterm infants shows limited prediction of neurodevelopment. Later scans, closer to term-equivalent age, better predict motor and cognitive outcomes using fractional anisotropy. Brain dysmaturation impacts these associations.

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Area of Science:

  • Neuroimaging
  • Developmental Neuroscience
  • Neonatology

Background:

  • Adverse neurodevelopmental outcomes are frequent in preterm infants.
  • Sensitive early predictors of neurodevelopment are crucial for intervention.
  • Tract-based spatial statistics (TBSS) using diffusion MRI shows promise.

Purpose of the Study:

  • To assess the association between early TBSS findings and neurodevelopmental outcomes at 18 months corrected age.
  • To compare the predictive power of early versus later diffusion MRI scans.

Main Methods:

  • 180 preterm neonates (24-32 weeks gestation) underwent diffusion tensor imaging (DTI) at two time points: early (32 weeks postmenstrual age) and late (term-equivalent age).
  • Tract-based spatial statistics (TBSS) analysis was performed on aligned DTI data.
  • Neurodevelopmental assessment at 18 months corrected age used Bayley Scales and Peabody Developmental Motor Scales.

Main Results:

  • Early DTI scans (30-33 weeks) showed limited association between motor skills and diffusivity measures in specific white matter tracts.
  • Later DTI scans (37-41 weeks) revealed significant relationships between motor/cognitive scores and fractional anisotropy in the corpus callosum and corticospinal tracts.
  • TBSS in very preterm infants (<30 weeks) did not significantly predict outcomes.

Conclusions:

  • The association between fractional anisotropy and neurodevelopmental scores strengthens from early to later scans in preterm infants.
  • This suggests brain dysmaturation in preterm infants influences the predictive value of diffusion MRI findings.