Early life predictors of brain development at term-equivalent age in infants born across the gestational age spectrum

Deanne K Thompson1, Claire E Kelly2, Jian Chen3

  • 1Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia.

Neuroimage
|April 17, 2018
PubMed

Insights

Early life factors like sex and birth weight impact infant brain development, with effects varying by gestational age at birth. This research clarifies perinatal influences on brain structure in preterm infants.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Neonatology

Background:

  • Preterm infants exhibit altered brain development compared to full-term infants.
  • Perinatal factors influencing preterm infant brain development are not fully understood.
  • Potential differences in predictors across very preterm, moderate preterm, and late preterm infants require investigation.

Purpose of the Study:

  • To investigate the effects of early life predictors on brain volume and microstructure at term-equivalent age (TEA).
  • To determine if these effects differ among gestational age (GA) groups: very preterm (VP), moderate preterm (MP), late preterm (LP), and full-term (FT).

Main Methods:

  • Structural MRI analyzed using voxel-based morphometry and Tract-Based Spatial Statistics.
  • 328 infants (VP, MP, LP, FT) underwent brain segmentation.
  • Early life predictors (birthweight SDS, multiple birth, sex, postnatal growth, social risk) correlated with brain volumes and diffusion measures.

Main Results:

  • Male sex associated with higher brain volumes and altered white matter microstructure (diffusivity) across GA groups.
  • Higher birthweight standard deviation score (BWSDS) linked to increased brain volumes and white matter integrity, particularly in MP and LP infants.
  • Multiple birth and social risk showed associations with brain measures, varying by GA group and dependent on other predictors.

Conclusions:

  • Early life factors including sex, BWSDS, multiple birth, and social risk significantly influence infant brain volumes and microstructure at TEA.
  • The impact of these predictors is dependent on the infant's gestational age group at birth.
  • This study enhances understanding of perinatal factors contributing to brain abnormalities across the prematurity spectrum.
Abstract

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