Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/133219
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Type: Journal article
Title: White matter microstructure correlates with mathematics but not word reading performance in 13-year-old children born very preterm and full-term
Author: Collins, S.E.
Spencer-Smith, M.
Mürner-Lavanchy, I.
Kelly, C.E.
Pyman, P.
Pascoe, L.
Cheong, J.
Doyle, L.W.
Thompson, D.K.
Anderson, P.J.
Citation: NeuroImage, 2019; 24:101944-1-101944-9
Publisher: Elsevier
Issue Date: 2019
ISSN: 1053-8119
2213-1582
Statement of
Responsibility: 
Simonne E. Collins, Megan Spencer-Smith, Ines Mürner-Lavanchy, Claire E. Kellya, Philippa Pyman, Leona Pascoe, Jeanie Cheong, Lex W. Doyle, Deanne K. Thompson, Peter J. Anderson
Abstract: Individuals born very preterm (VPT; < 32 weeks' gestational age) are at increased risk of impaired mathematics and word reading performance, as well as widespread white matter microstructural alterations compared with individuals born full term (FT; ≥37 weeks' gestational age). To date, the link between academic performance and white matter microstructure is not well understood. This study aimed to investigate the associations between mathematics and reading performance with white matter microstructure in 114 VPT and 36 FT 13-year-old children. Additionally, we aimed to investigate whether the association of mathematics and reading performance with white matter microstructure in VPT children varied as a function of impairment. To do this, we used diffusion tensor imaging and advanced diffusion modelling techniques (Neurite Orientation Dispersion and Density Imaging and the Spherical Mean Technique), combined with a whole-brain analysis approach (TractBased Spatial Statistics). Mathematics performance across VPT and FT groups was positively associated with white matter microstructural measurements of fractional anisotropy and neurite density, and negatively associated with radial and mean diffusivities in widespread, bilateral regions. Furthermore, VPT children with a mathematics impairment (> 1 standard deviation below FT mean) had significantly reduced neurite density compared with VPT children without an impairment. Reading performance was not significantly associated with any of the white matter microstructure parameters. Additionally, the associations between white matter microstructure and mathematics and reading performance did not differ significantly between VPT and FT groups. Our findings suggest that alterations in white matter microstructure, and more specifically lower neurite density, are associated with poorer mathematics performance in 13-year-old VPT and FT children. More research is required to understand the association between reading performance and white matter microstructure in 13- year-old children.
Keywords: Very preterm
Prematurity
Academic Performance
Diffusion Magnetic Resonance Imaging
White Matter
Rights: © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
DOI: 10.1016/j.nicl.2019.101944
Grant ID: http://purl.org/au-research/grants/nhmrc/1028822
http://purl.org/au-research/grants/nhmrc/1024516
Published version: http://dx.doi.org/10.1016/j.nicl.2019.101944
Appears in Collections:Medicine publications

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