Evidence map›Paper›PMID 31187920›Full record

ArticleHuman brain mapping2019

Longitudinal associations between white matter maturation and cognitive development across early childhood.

Xiongtao Dai, Pantelis Hadjipantelis, Jane-Ling Wang, Sean C L Deoni, Hans-Georg Müller

Abstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  5. Developmental Changes in Brain Cellular Membrane and Energy Metabolism: A Multi-occasionThe Journal of neuroscience : the official journal of the Society for Neuroscience · 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

5 authors.

Xiongtao DaiDepartment of Statistics, Iowa State University, Ames, Iowa.ORCID 0000-0002-6996-5930
Pantelis HadjipantelisDepartment of Statistics, University of California Davis, Davis, California.
Jane-Ling WangDepartment of Statistics, University of California Davis, Davis, California.
Sean C L DeoniAdvanced Baby Imaging Lab, Brown University School of Engineering, Providence, Rhode Island.ORCID 0000-0002-0633-6328
Hans-Georg MüllerDepartment of Statistics, University of California Davis, Davis, California.

Funding

Imaging White Matter Maturation During Healthy Brain DevelopmentR01MH087510 · NIMH · BROWN UNIVERSITY · PI DEONI, SEAN CL · 2009 to 2013
$2.2M
Bill and Melinda Gates Foundation OPP11002016National Science Foundation DMS-1407852National Science Foundation DMS-1512975National Science Foundation DMS-1712864NIMH NIH HHS R01 MH087510
6 · The paper itself

Abstract

From birth to 5 years of age, brain structure matures and evolves alongside emerging cognitive and behavioral abilities. In relating concurrent cognitive functioning and measures of brain structure, a major challenge that has impeded prior investigation of their time-dynamic relationships is the sparse and irregular nature of most longitudinal neuroimaging data. We demonstrate how this problem can be addressed by applying functional concurrent regression models (FCRMs) to longitudinal cognitive and neuroimaging data. The application of FCRM in neuroimaging is illustrated with longitudinal neuroimaging and cognitive data acquired from a large cohort (n = 210) of healthy children, 2-48 months of age. Quantifying white matter myelination by using myelin water fraction (MWF) as imaging metric derived from MRI scans, application of this methodology reveals an early period (200-500 days) during which whole brain and regional white matter structure, as quantified by MWF, is positively associated with cognitive ability, while we found no such association for whole brain white matter volume. Adjusting for baseline covariates including socioeconomic status as measured by maternal education (SES-ME), infant feeding practice, gender, and birth weight further reveals an increasing association between SES-ME and cognitive development with child age. These results shed new light on the emerging patterns of brain and cognitive development, indicating that FCRM provides a useful tool for investigating these evolving relationships.

Indexed as

BrainChild DevelopmentChild, PreschoolCognitionFemaleHumansInfantLongitudinal StudiesMagnetic Resonance ImagingMaleWhite Matterbrain MRIcognitive developmentconcurrent regression modelinginfant brain developmentmyelination

Identifiers

PMID31187920
PMCPMC6771612

What OpenQuestion holds

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LicenceCC BY
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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.