Evidence map›Paper›PMID 36896867›Full record

ArticleHuman brain mapping2023

Trajectories of brain volumes in young children are associated with maternal education.

Changbo Zhu, Yaqing Chen, Hans-Georg Müller, Jane-Ling Wang, Jonathan O'Muircheartaigh, Muriel Bruchhage, Sean Deoni

Abstract read
In one paragraph

Article in Human brain mapping, 2023. 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
–field-weighted citation impact
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.

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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

7 authors.

Changbo ZhuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, South Bend, Indiana, USA.ORCID 0000-0003-3348-8877
Yaqing ChenDepartment of Statistics, Rutgers University, New Brunswick, New Jersey, USA.
Hans-Georg MüllerDepartment of Statistics, University of California, Davis, California, USA.
Jane-Ling WangDepartment of Statistics, University of California, Davis, California, USA.
Jonathan O'MuircheartaighCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-8033-6959
Muriel BruchhageDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, Rhode Island, USA.
Sean DeoniMNCH D&T, Bill & Melinda Gates Foundation, Seattle, Washington, USA.ORCID 0000-0002-0633-6328

Funding

The Developing Brain: Influences and OutcomesUH3OD023313 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI Viren Andrew D'Sa, Daphne Koinis Mitchell · 2018 to 2026
$20.7M
NIH HHS UH3 OD023313Wellcome Trust
6 · The paper itself

Abstract

Brain growth in early childhood is reflected in the evolution of proportional cerebrospinal fluid volumes (pCSF), grey matter (pGM), and white matter (pWM). We study brain development as reflected in the relative fractions of these three tissues for a cohort of 388 children that were longitudinally followed between the ages of 18 and 96 months. We introduce statistical methodology (Riemannian Principal Analysis through Conditional Expectation, RPACE) that addresses major challenges that are of general interest for the analysis of longitudinal neuroimaging data, including the sparsity of the longitudinal observations over time and the compositional structure of the relative brain volumes. Applying the RPACE methodology, we find that longitudinal growth as reflected by tissue composition differs significantly for children of mothers with higher and lower maternal education levels.

Indexed as

BrainWhite MatterChildChild, PreschoolEducational StatusFemaleGray MatterHumansInfantLongitudinal StudiesMagnetic Resonance ImagingNeuroimagingbrain volumescerebrospinal fluidcompositional datafunctional principal component analysisgrey matterlongitudinal brain developmentwhite matter

Identifiers

PMID36896867
PMCPMC10171562

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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.