Evidence map›Paper›PMID 34273749›Full record

ArticleDevelopmental cognitive neuroscience2021

Development of brain white matter and math computation ability in children born very preterm and full-term.

Simonne E Collins, Deanne K Thompson, Claire E Kelly, Joseph Y M Yang, Leona Pascoe, Terrie E Inder, Lex W Doyle, Jeanie L Y Cheong, Alice C Burnett, Peter J Anderson

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Associations between mathematical skills and white matter microstructure in children born preterm.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2026
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  5. Whole-brain white matter variation across childhood environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Simonne E CollinsTurner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia. Electronic address: simonne.collins@monash.edu.
Deanne K ThompsonVictorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia.
Claire E KellyTurner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia.
Joseph Y M YangDevelopmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Neuroscience Advanced Clinical Imaging Suite (NACIS), Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia; Neuroscience Research, Murdoch Children's Research Institute, Melbourne, Australia.
Leona PascoeTurner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia.
Terrie E InderVictorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Lex W DoyleVictorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia.
Jeanie L Y CheongVictorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia.
Alice C BurnettVictorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia; Neonatal Medicine, Royal Children's Hospital, Melbourne, Australia.
Peter J AndersonTurner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia. Electronic address: peter.j.anderson@monash.edu.
Murdoch Children's Research Institute · AURoyal Children's Hospital · AURoyal Women's Hospital · AUBrigham and Women's Hospital · USMonash Children’s Hospital · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children born very preterm (VPT; <32 weeks' gestation) have alterations in brain white matter and poorer math ability than full-term (FT) peers. Diffusion-weighted magnetic resonance imaging studies suggest a link between white matter microstructure and math in VPT and FT children, although longitudinal studies using advanced modelling are lacking. In a prospective longitudinal cohort of VPT and FT children we used Fixel-Based Analysis to investigate associations between maturation of white matter fibre density (FD), fibre-bundle cross-section (FC), and combined fibre density and cross-section (FDC) and math computation ability at 7 (n = 136 VPT; n = 32 FT) and 13 (n = 130 VPT; n = 44 FT) years, as well as between change in white matter and math computation ability from 7 to 13 years (n = 103 VPT; n = 21 FT). In both VPT and FT children, higher FD, FC and FDC in visual, sensorimotor and cortico-thalamic/thalamo-cortical white matter tracts were associated with better math computation ability at 7 and 13 years. Longitudinally, accelerated maturation of the posterior body of the corpus callosum (FDC) was associated with greater math computation development. White matter-math associations were similar for VPT and FT children. In conclusion, white matter maturation is associated with math computation ability across late childhood, irrespective of birth group.

Indexed as

White MatterChildChild DevelopmentDiffusion Magnetic Resonance ImagingHumansInfant, Extremely PrematureInfant, NewbornProspective StudiesAcademic performanceArithmeticDiffusion imagingMagnetic resonance imagingMicrostructurePreterm birth

Identifiers

PMID34273749
PMCPMC8319459
OpenAlexW3182939332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.