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

Brain / growth & development Diffusion Magnetic Resonance Imaging Female Gestational Age Humans Infant, Newborn Infant, Premature / growth & development Male Neuroimaging Risk Factors
Diffusion weighted imaging Magnetic resonance imaging Neonate Perinatal Premature birth Preterm

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 01 2019
Historique:
received: 26 07 2017
revised: 24 03 2018
accepted: 12 04 2018
pubmed: 17 4 2018
medline: 6 4 2019
entrez: 17 4 2018
Statut: ppublish

Résumé

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). 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. 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. 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.

Sections du résumé

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.

Identifiants

DOI: 10.1016/j.neuroimage.2018.04.031 PMID: 29660514
pubmed: 29660514
pii: S1053-8119(18)30340-9
doi: 10.1016/j.neuroimage.2018.04.031
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

813-824

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Deanne K Thompson (DK)

Murdoch 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. Electronic address: deanne.thompson@mcri.edu.au.

Claire E Kelly (CE)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia.

Jian Chen (J)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Medicine, Monash University, Melbourne, Australia.

Richard Beare (R)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Medicine, Monash University, Melbourne, Australia.

Bonnie Alexander (B)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia.

Marc L Seal (ML)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia.

Katherine Lee (K)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia.

Lillian G Matthews (LG)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Department of Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Peter J Anderson (PJ)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Australia.

Lex W Doyle (LW)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Neonatal Services, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia.

Alicia J Spittle (AJ)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Neonatal Services, The Royal Women's Hospital, Melbourne, Australia; Department of Physiotherapy, The University of Melbourne, Melbourne, Australia.

Jeanie L Y Cheong (JLY)

Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Neonatal Services, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia.

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Classifications MeSH

questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Early life predictors of brain development at...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Imagerie par résonance magnétique de diffusion › Early life predictors of brain development at...
questionsmedicales.fr › Phénomènes physiologiques des appareils urinaire et reproducteur › Phénomènes physiologiques de la reproduction › Âge gestationnel › Early life predictors of brain development at...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Early life predictors of brain development at...
questionsmedicales.fr › Personnes › Tranches d'âge › Nourrisson › Nouveau-né › Early life predictors of brain development at...
questionsmedicales.fr › Personnes › Tranches d'âge › Nourrisson › Nouveau-né › Prématuré › Early life predictors of brain development at...
questionsmedicales.fr › Techniques d'investigation › Neuroimagerie › Early life predictors of brain development at...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Early life predictors of brain development at...