Evidence map›Paper›PMID 29420697›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Environmental Influences on Infant Cortical Thickness and Surface Area.

Shaili C Jha, Kai Xia, Mihye Ahn, Jessica B Girault, Gang Li, Li Wang, Dinggang Shen, Fei Zou, Hongtu Zhu, Martin Styner and 2 more

Registry-linked trialAbstract readTwin Study
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01409746 (Early Brain Development in Twins), which is not on this map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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.

NCT01409746 completednot on this map

Early Brain Development in Twins

TypeobservationalSponsorUniversity of North Carolina, Chapel HillRan2004 to 2020Enrolled550ConditionsTwin Brain Development
3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Income insufficiency impacts early brain development in infants facing increased psychosocial adversity: A network-based approach.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cortical scaling of the neonatal brain in typical and altered development.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  20. Longitudinal mapping of the development of cortical thickness and surface area in rhesus macaques during the first three years.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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

12 authors.

Shaili C JhaCurriculum in Neuroscience, University of North Carolina, Chapel Hill, NC, USA.
Kai XiaDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Mihye AhnDepartment of Mathematics and Statistics, University of Nevada, Reno, NV, USA.
Jessica B GiraultCurriculum in Neuroscience, University of North Carolina, Chapel Hill, NC, USA.
Gang LiBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Li WangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Dinggang ShenBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Fei ZouDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Hongtu ZhuDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Martin StynerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
John H GilmoreDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Rebecca C KnickmeyerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
RESEARCH TRAINING IN THE NEUROSCIENCEST32NS007431 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Juan Song, Mark J. Zylka · 1997 to 2026
$10.0M
Early Brain Development in TwinsU01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2015 to 2019
$2.9M
Infant Brain Measurement and Super-Resolution Atlas ConstructionR01MH100217 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2013 to 2016
$2.3M
Volume-based Analysis of 6-month Infant Brain MRI for Autism Biomarker Identification and Early DiagnosisK01MH109773 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, LI · 2017 to 2020
$571k
4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk InfantsK01MH107815 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2015 to 2018
$559k
Constructing 4-dimensional Infant Cortical Surface AtlasesR21MH108914 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2016 to 2017
$418k
NCRR NIH HHS UL1 RR025747NIEHS NIH HHS P30 ES010126NIMH NIH HHS K01 MH107815NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH100217NIMH NIH HHS R21 MH108914NIMH NIH HHS U01 MH070890NINDS NIH HHS T32 NS007431
6 · The paper itself

Abstract

Cortical thickness (CT) and surface area (SA) vary widely between individuals and are associated with intellectual ability and risk for various psychiatric and neurodevelopmental conditions. Factors influencing this variability remain poorly understood, but the radial unit hypothesis, as well as the more recent supragranular cortex expansion hypothesis, suggests that prenatal and perinatal influences may be particularly important. In this report, we examine the impact of 17 major demographic and obstetric history variables on interindividual variation in CT and SA in a unique sample of 805 neonates who received MRI scans of the brain around 2 weeks of age. Birth weight, postnatal age at MRI, gestational age at birth, and sex emerged as important predictors of SA. Postnatal age at MRI, paternal education, and maternal ethnicity emerged as important predictors of CT. These findings suggest that individual variation in infant CT and SA is explained by different sets of environmental factors with neonatal SA more strongly influenced by sex and obstetric history and CT more strongly influenced by socioeconomic and ethnic disparities. Findings raise the possibility that interventions aimed at reducing disparities and improving obstetric outcomes may alter prenatal/perinatal cortical development.

Indexed as

Age FactorsCerebral CortexChild DevelopmentDemographyFemaleGestational AgeHumansIndividualityInfantInfant, NewbornMagnetic Resonance ImagingMaleObstetricsSex Factors

Identifiers

PMID29420697
PMCPMC6373689

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.