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Neonatal white matter tract microstructure and 2-year language outcomes after preterm birth

Authors :
Lisa Bruckert
Heidi M. Feldman
Katherine E. Travis
Sarah E. Dubner
Jessica Rose
Source :
NeuroImage : Clinical, NeuroImage: Clinical, Vol 28, Iss, Pp 102446-(2020)
Publication Year :
2020

Abstract

Highlights • Preterm infant white matter tracts uniquely predict later toddler language. • Neonatal medical history moderates posterior corpus callosum–language relations. • Different associations by tract may relate to brain maturation and medical history.<br />Aim To determine whether variability in diffusion MRI (dMRI) white matter tract metrics, obtained in a cohort of preterm infants prior to neonatal hospital discharge, would be associated with language outcomes at age 2 years, after consideration of age at scan and number of major neonatal complications. Method 30 children, gestational age 28.9 (2.4) weeks, underwent dMRI at mean post menstrual age 36.4 (1.4) weeks and language assessment with the Bayley Scales of Infant Development–III at mean age 22.2 (1.7) months chronological age. Mean fractional anisotropy (FA) and mean diffusivity (MD) were calculated for 5 white matter tracts. Hierarchical linear regression assessed associations between tract FA, moderating variables, and language outcomes. Results FA of the left inferior longitudinal fasciculus accounted for 17% (p = 0.03) of the variance in composite language and FA of the posterior corpus callosum accounted for 19% (p = 0.02) of the variance in composite language, beyond that accounted for by post-menstrual age at scan and neonatal medical complications. The number of neonatal medical complications moderated the relationship between language and posterior corpus callosum FA but did not moderate the association in the other tract. Conclusion Language at age 2 is associated with white matter metrics in early infancy in preterm children. The different pattern of associations by fiber group may relate to the stage of brain maturation and/or the nature and timing of medical complications related to preterm birth. Future studies should replicate these findings with a larger sample size to assure reliability of the findings.

Subjects

Subjects :
Pediatrics
UF-R, Right uncinate fasciculus
Diffusion magnetic resonance imaging
TEA, term equivalent age
Corpus callosum
Bayley Scales of Infant Development
lcsh:RC346-429
PMA, post menstrual age
0302 clinical medicine
Pregnancy
Medicine
FA, fractional anisotropy
Child
UF-L, left uncinate fasciculus
FT, full term
MedRisk, number of medical complications
Language
CC-Occ, occipital segment of the corpus callosum
Arc-R, right arcuate fasciculus
05 social sciences
White matter
BSID-III, Bayley Scales of Infant Development, 3rd Edition
Gestational age
Brain
VIF, Variance Inflation Factor
Regular Article
NICU, Neonatal Intensive Care Unit
RD, radial diffusivity
medicine.anatomical_structure
Diffusion Tensor Imaging
Neurology
Child, Preschool
Cohort
lcsh:R858-859.7
Premature Birth
Female
ILF-L, left inferior longitudinal fasciculus
Tractography
Infant, Premature
AD, axial diffusivity
ILF-R, right inferior longitudinal fasciculus
Adult
medicine.medical_specialty
Cognitive Neuroscience
DTI, Diffusion Tensor Imaging
lcsh:Computer applications to medicine. Medical informatics
ROI, region of Interest
050105 experimental psychology
03 medical and health sciences
Young Adult
AFQ, Automated Fiber Quantification
dMRI, diffusion magnetic resonance imaging
LPCH, Lucile Packard Children’s Hospital
Fractional anisotropy
Humans
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
PT, preterm
Arc-L, left arcuate fasciculus
Premature
lcsh:Neurology. Diseases of the nervous system
MD, mean diffusivity
business.industry
Infant, Newborn
Infant
Reproducibility of Results
CI, Confidence Interval
Anisotropy
Neurology (clinical)
business
GA, gestational age
MRI, magnetic resonance imaging
030217 neurology & neurosurgery
Diffusion MRI

Details

ISSN :
22131582
Volume :
28
Database :
OpenAIRE
Journal :
NeuroImage. Clinical
Accession number :
edsair.doi.dedup.....dc111a109e6e4f7f8cd645ea724fd2bd