Evidence map›Paper›PMID 31365070›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Cortical Structure and Cognition in Infants and Toddlers.

Jessica B Girault, Emil Cornea, Barbara D Goldman, Shaili C Jha, Veronica A Murphy, Gang Li, Li Wang, Dinggang Shen, Rebecca C Knickmeyer, Martin Styner and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
  14. Review
  15. Article
  16. Spherical Transformer on Cortical Surfaces.Machine learning in medical imaging. MLMI (Workshop) · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 2 institutions in 1 country.

Jessica B GiraultCarolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA.
Emil CorneaDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Barbara D GoldmanDepartment of Psychology & Neuroscience and FPG Child Development Institute, University of North Carolina, Chapel Hill, NC, USA.
Shaili C JhaDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Veronica A MurphyNeuroscience Curriculum, 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.
Rebecca C KnickmeyerDepartment of Psychiatry, 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.
University of North Carolina at Chapel Hill · USHarvard University · US

Funding

Prospective study of the onset of schizophreniaP50MH064065 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2002 to 2011
$19.6M
RESEARCH TRAINING IN THE NEUROSCIENCEST32NS007431 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Juan Song, Mark J. Zylka · 1997 to 2026
$10.0M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Postdoctoral Research in Neurodevelopmental DisordersT32HD040127 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENJAMIN D PHILPOT, Mark D Shen · 2001 to 2026
$8.5M
Human Development: Interdisiplinary Research TrainingT32HD007376 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL, PROPPER, CATHI BARBRA · 1988 to 2020
$8.0M
Early Brain Development in TwinsR01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2004 to 2014
$5.3M
Early Brain Development in One and Two Year OldsR01HD053000 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2007 to 2018
$4.4M
The Origins of Preadolescent Risk for Psychiatric Disorders in Early Childhood Brain DevelopmentR01MH111944 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2017 to 2021
$3.5M
Early Brain Development in TwinsU01MH070890 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2015 to 2019
$2.9M
Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRIR01MH116225 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2018 to 2022
$1.9M
Emotion-Modulated Psychophysiology of Autism Spectrum DisordersR21MH085254 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENNING, STEPHEN D, DICHTER, GABRIEL S · 2009 to 2010
$416k
NICHD NIH HHS P50 HD103573NICHD NIH HHS R01 HD053000NICHD NIH HHS T32 HD007376NICHD NIH HHS T32 HD040127NIMH NIH HHS P50 MH064065NIMH NIH HHS R01 MH070890NIMH NIH HHS R01 MH111944NIMH NIH HHS R01 MH116225NIMH NIH HHS R21 MH085254NIMH NIH HHS U01 MH070890NINDS NIH HHS T32 NS007431
6 · The paper itself

Abstract

Cortical structure has been consistently related to cognitive abilities in children and adults, yet we know little about how the cortex develops to support emergent cognition in infancy and toddlerhood when cortical thickness (CT) and surface area (SA) are maturing rapidly. In this report, we assessed how regional and global measures of CT and SA in a sample (N = 487) of healthy neonates, 1-year-olds, and 2-year-olds related to motor, language, visual reception, and general cognitive ability. We report novel findings that thicker cortices at ages 1 and 2 and larger SA at birth, age 1, and age 2 confer a cognitive advantage in infancy and toddlerhood. While several expected brain-cognition relationships were observed, overlapping cortical regions were also implicated across cognitive domains, suggesting that infancy marks a period of plasticity and refinement in cortical structure to support burgeoning motor, language, and cognitive abilities. CT may be a particularly important morphological indicator of ability, but its impact on cognition is relatively weak when compared with gestational age and maternal education. Findings suggest that prenatal and early postnatal cortical developments are important for cognition in infants and toddlers but should be considered in relation to other child and demographic factors.

Indexed as

Child DevelopmentCerebral CortexChild, PreschoolCognitionFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleNeuropsychological Testsbrain developmentcognitive developmentneuroimagingsurface areathickness

Identifiers

PMID31365070
PMCPMC7306173
OpenAlexW2964629193

What OpenQuestion holds

Textmetadata
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.