Early life predictors of brain development at term-equivalent age in infants born across the gestational age spectrum
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Published on: May 12, 2023
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.
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.
Background:
It is well established that preterm infants have altered brain development compared with full-term (FT; ≥37 weeks' gestational age [GA]) infants, however the perinatal factors associated with brain development in preterm infants have not been fully elucidated. In particular, perinatal predictors of brain development may differ between very preterm infants (VP; <32 weeks' GA) and infants born moderate (MP; 32-33 weeks' GA) and late (LP; 34-36 weeks' GA) preterm, but this has not been studied. This study aimed to investigate the effects of early life predictors on brain volume and microstructure at term-equivalent age (TEA; 38-44 weeks), and whether these effects differ for GA groups (VP, MP, LP or FT).
Methods:
Structural images from 328 infants (91 VP, 63 MP, 104 LP and 70 FT) were segmented into white matter, cortical grey matter, cerebrospinal fluid, subcortical grey matter, brainstem and cerebellum. Cortical grey matter and white matter images were analysed using voxel-based morphometry. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) images from 361 infants (92 VP, 69 MP, 120 LP and 80 FT) were analysed using Tract-Based Spatial Statistics. Relationships between early life predictors (birthweight standard deviation score [BWSDS], multiple birth, sex, postnatal growth and social risk) and global brain volumes were analysed using linear regressions. Relationships between early life predictors and regional brain volumes and diffusion measures were analysed using voxelwise non-parametric permutation testing.
Results:
Male sex was associated with higher global volumes of all tissues and higher regional volumes throughout much of the cortical grey matter and white matter, particularly in the FT group. Male sex was also associated with lower FA and higher AD, RD and MD in the optic radiation, external and internal capsules and corona radiata, and these associations were generally similar between GA groups. Higher BWSDS was associated with higher global volumes of all tissues and higher regional volumes in much of the cortical grey matter and white matter in all GA groups, as well as higher FA and lower RD and MD in many major tracts (corpus callosum, optic radiation, internal and external capsules and corona radiata), particularly in the MP and LP groups. Multiple birth and social risk also showed associations with global and regional volumes and regional diffusion values which varied by GA group, but these associations were not independent of the other early life predictors. Postnatal growth was not associated with brain volumes or diffusion values.
Conclusion:
Early life predictors of brain volumes and microstructure at TEA include sex, BWSDS, multiple birth and social risk, which have different effects based on GA group at birth. This study improves knowledge of the perinatal factors associated with brain abnormalities in infants born across the prematurity spectrum.
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