Evidence map›Paper›PMID 41053429›Full record

ArticlePediatric research2026

White matter microstructure and gray matter density in 12-year-old preterm born children.

Annette Karimi, Ylva Fredriksson Kaul, Olga Kochukhova, Martin Johansson, Cecilia Montgomery, Markus Fahlström, Sven Haller, Lena Hellström-Westas, Johan Wikström

Abstract read
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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Annette KarimiDepartment of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden. annette.geeb.karimi@akademiska.se.ORCID http://orcid.org/0009-0007-3859-1378
Ylva Fredriksson KaulDepartment of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden.
Olga KochukhovaDepartments of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Martin JohanssonDepartments of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Cecilia MontgomeryDepartments of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Markus FahlströmDepartment of Surgical Sciences, Molecular Imaging and Medical Physics, Uppsala University, Uppsala, Sweden.
Sven HallerDepartment of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden.
Lena Hellström-WestasDepartments of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Johan WikströmDepartment of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate white matter microstructure and gray matter densities in 12-year-old children born very preterm and evaluate potential effects of antenatal steroids and intraventricular hemorrhage (IVH).

methodsBrain MRI (3Tesla) was performed in 57 children born very preterm, 16 with IVH and 41 treated with antenatal corticosteroids, and in 22 full-term controls. White matter microstructure and gray matter density were compared between groups using tract-based spatial statistics (TBSS) and voxel-based morphometry (VBM).

resultsPreterm-born children showed no differences in white matter fractional anisotropy (FA) compared to controls, but showed increased or decreased gray matter density in several regions. In the preterm group, lower gestational age was associated with reduced FA in the anterior commissure and the anterior parts of the inferior fronto-occipital fasciculus. Antenatal steroid exposure did not affect FA or gray matter density. IVH was associated with decreased gray matter density in the temporo-occipital cortex.

conclusionVery premature birth is associated with alterations in gray matter density, and there is a correlation between gestational age and white matter integrity. Antenatal steroid exposure does not affect white matter integrity or gray matter density, but IVH exposure is associated with locally decreased gray matter density. IMPACT: Prematurely born adolescents show differences in gray matter density in several regions compared to controls, with both increased and decreased values observed. In prematurely born adolescents, there is a correlation between lower gestational age and reduced white matter integrity. Assessment of white matter microstructure using tract-based spatial statistics (TBSS) and gray matter volumes using voxel-based morphometry (VBM) in the same cohort of subjects shows alterations in regions involving the same neural circuit.

Indexed as

Gray MatterWhite MatterAdrenal Cortex HormonesAnisotropyCase-Control StudiesCerebral Intraventricular HemorrhageChildFemaleGestational AgeHumansInfant, Extremely PrematureInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMalePregnancyAdrenal Cortex Hormones

Identifiers

PMID41053429
PMCPMC13524805

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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.