Evidence map›Paper›PMID 36804963›Full record

ArticleScientific reports2023

Network evolution of regional brain volumes in young children reflects neurocognitive scores and mother's education.

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

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

9 authors at 12 institutions in 3 countries.

Yidong ZhouDepartment of Statistics, University of California, Davis, Davis, CA, 95616, USA. ydzhou@ucdavis.edu.
Hans-Georg MüllerDepartment of Statistics, University of California, Davis, Davis, CA, 95616, USA.
Changbo ZhuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, 46556, USA.
Yaqing ChenDepartment of Statistics, Rutgers University, New Brunswick, NJ, 08901, USA.
Jane-Ling WangDepartment of Statistics, University of California, Davis, Davis, CA, 95616, USA.
Jonathan O'MuircheartaighCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Muriel BruchhageDepartment of Pediatrics, Warren Alpert Medical School at Brown University, Providence, USA.
Sean DeoniMaternal, Newborn, and Child Health Discovery and Tools, Bill and Melinda Gates Foundation, Seattle, WA, USA.
RESONANCE Consortium
University of California, Davis · USBrown University · USGates Foundation · USKing's College London · GBJohns Hopkins University · USRhode Island Hospital · USRutgers, The State University of New Jersey · USTranslational Genomics Research Institute · USUniversity of Colorado Boulder · USUniversity of Notre Dame · USUniversity of Stavanger · NOWellesley College · US

Funding

The Impact of the Intrauterine and Early Childhood Environments on Neurocognitive and Metabolic Development in African American Youth: Focus on the Gut-Brain AxisUH3OD023318 · OD · EMORY UNIVERSITY · PI PATRICIA A BRENNAN, ANNE Lang DUNLOP · 2018 to 2026
$9.0M
Gates Foundation INV-005774Gates Foundation INV-006627Medical Research Council MR/N026063/1NIH HHS UH3 OD023318Wellcome TrustWellcome Trust 206675/Z/17/Z
6 · The paper itself

Abstract

The maturation of regional brain volumes from birth to preadolescence is a critical developmental process that underlies emerging brain structural connectivity and function. Regulated by genes and environment, the coordinated growth of different brain regions plays an important role in cognitive development. Current knowledge about structural network evolution is limited, partly due to the sparse and irregular nature of most longitudinal neuroimaging data. In particular, it is unknown how factors such as mother's education or sex of the child impact the structural network evolution. To address this issue, we propose a method to construct evolving structural networks and study how the evolving connections among brain regions as reflected at the network level are related to maternal education and biological sex of the child and also how they are associated with cognitive development. Our methodology is based on applying local Fréchet regression to longitudinal neuroimaging data acquired from the RESONANCE cohort, a cohort of healthy children (245 females and 309 males) ranging in age from 9 weeks to 10 years. Our findings reveal that sustained highly coordinated volume growth across brain regions is associated with lower maternal education and lower cognitive development. This suggests that higher neurocognitive performance levels in children are associated with increased variability of regional growth patterns as children age.

Indexed as

Magnetic Resonance ImagingMothersBrainChildChild, PreschoolCognitionEducational StatusFemaleHumansMale

Identifiers

PMID36804963
PMCPMC9941570
OpenAlexW4321369486

What OpenQuestion holds

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LicenceCC BY
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.