Evidence map›Paper›PMID 28392489›Full record

ArticleNeuroImage2017

Quantifying cortical development in typically developing toddlers and young children, 1-6 years of age.

Justin Remer, Elise Croteau-Chonka, Douglas C Dean, Sara D'Arpino, Holly Dirks, Dannielle Whiley, Sean C L Deoni

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 158 citations in OpenAlex.

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  12. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025
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12 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Justin RemerAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States. Electronic address: justin_remer@brown.edu.
Elise Croteau-ChonkaAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Douglas C DeanAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Sara D'ArpinoAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Holly DirksAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Dannielle WhileyAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Sean C L DeoniAdvanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI 02912, United States.
Brown University · US

Funding

The Developing Brain: Influences and OutcomesUG3OD023313 · OD · UNIVERSITY OF COLORADO DENVER · PI D'SA, VIREN ANDREW, KOINIS MITCHELL, DAPHNE · 2016 to 2024
$11.6M
Imaging White Matter Maturation During Healthy Brain DevelopmentR01MH087510 · NIMH · BROWN UNIVERSITY · PI DEONI, SEAN CL · 2009 to 2013
$2.2M
NIH HHS UG3 OD023313NIMH NIH HHS R01 MH087510
6 · The paper itself

Abstract

Cortical maturation, including age-related changes in thickness, volume, surface area, and folding (gyrification), play a central role in developing brain function and plasticity. Further, abnormal cortical maturation is a suspected substrate in various behavioral, intellectual, and psychiatric disorders. However, in order to characterize the altered development associated with these disorders, appreciation of the normative patterns of cortical development in neurotypical children between 1 and 6 years of age, a period of peak brain development during which many behavioral and developmental disorders emerge, is necessary. To this end, we examined measures of cortical thickness, surface area, mean curvature, and gray matter volume across 34 bilateral regions in a cohort of 140 healthy children devoid of major risk factors for abnormal development. From these data, we observed linear, logarithmic, and quadratic patterns of change with age depending on brain region. Cortical thinning, ranging from 10% to 20%, was observed throughout most of the brain, with the exception of posterior brain structures, which showed initial cortical thinning from 1 to 5 years, followed by thickening. Cortical surface area expansion ranged from 20% to 108%, and cortical curvature varied by 1-20% across the investigated age range. Right-left hemisphere asymmetry was observed across development for each of the 4 cortical measures. Our results present new insight into the normative patterns of cortical development across an important but under studied developmental window, and provide a valuable reference to which trajectories observed in neurodevelopmental disorders may be compared.

Indexed as

Brain MappingCerebral CortexChildChild DevelopmentChild, PreschoolFemaleGray MatterHumansInfantMagnetic Resonance ImagingMaleSex Characteristics

Identifiers

PMID28392489
PMCPMC5460988
OpenAlexW2604161564

What OpenQuestion holds

Textmetadata
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.