Evidence map›Paper›PMID 32276067›Full record

ArticleNeuroImage2020

Sex differences associated with corpus callosum development in human infants: A longitudinal multimodal imaging study.

Astrid Schmied, Takahiro Soda, Guido Gerig, Martin Styner, Meghan R Swanson, Jed T Elison, Mark D Shen, Robert C McKinstry, John R Pruett, Kelly N Botteron and 7 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Sex Differences in Human Brain Structure at Birth.Biology of sex differences · 2024
    Article
  4. Article
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  11. Review
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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

17 authors at 9 institutions in 1 country.

Astrid SchmiedDepartment of Educational Psychology, University of Minnesota, Minneapolis, MN, USA.
Takahiro SodaDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Guido GerigDepartment of Computer Science & Engineering, New York University, New York City, NY, USA.
Martin StynerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Meghan R SwansonSchool of Behavioral & Brain Sciences, University of Texas at Dallas, Richardson, TX, USA.
Jed T ElisonInstitute of Child Development, University of Minnesota, Minneapolis, MN, USA.
Mark D ShenDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Robert C McKinstryMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
John R PruettDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Kelly N BotteronDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Annette M EstesDepartment of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA.
Stephen R DagerDepartment of Radiology, University of Washington, Seattle, WA, USA.
Heather C HazlettDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Robert T SchultzDepartment of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA.
Joseph PivenDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Jason J WolffDepartment of Educational Psychology, University of Minnesota, Minneapolis, MN, USA. Electronic address: jjwolff@umn.edu.
IBIS Network
University of North Carolina at Chapel Hill · USMinnesota Department of Education · USUniversity of Washington · USWashington University in St. Louis · USMallinckrodt (United States) · USNew York University · USThe University of Texas at Dallas · USUniversity of Minnesota · USUniversity of Pennsylvania · US

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
Washington University ConsoritumU54EB005149 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI SHARP, GREGORY · 2004 to 2013
$39.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNC MRDD Research CenterP30HD003110 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PIVEN, JOSEPH · 1985 to 2012
$28.7M
MRI-Based Presymptomatic Prediction of ASD, and Early Infant to School-Age Brain-Behavior Trajectories, Mechanisms, and Related OutcomesR01MH118362 · NIMH · WASHINGTON UNIVERSITY · PI John R Pruett · 2019 to 2026
$16.3M
Mechanisms of Brain Dysmorphology in MN1 C-Terminal Truncation Syndrome, a Novel Intellectual Developmental Disability Disorder P50HD103524 · NICHD · UNIVERSITY OF WASHINGTON · PI Sandra E Juul · 2020 to 2026
$9.9M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL · 2013 to 2019
$8.0M
The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2016 to 2020
$6.3M
Development and neural mechanisms of repetitive behavior and sensory responsivity in autismR01MH116961 · NIMH · UNIVERSITY OF MINNESOTA · PI WOLFF, JASON J · 2018 to 2022
$2.8M
Brain Imaging Markers of Response to Intervention in Toddlers with AutismK01MH101653 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WOLFF, JASON J · 2013 to 2017
$651k
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
NIBIB NIH HHS U54 EB005149NICHD NIH HHS P30 HD003110NICHD NIH HHS P50 HD103524NICHD NIH HHS P50 HD103573NICHD NIH HHS R01 HD055741NICHD NIH HHS U54 HD079124NICHD NIH HHS U54 HD086984NIEHS NIH HHS P30 ES010126NIMH NIH HHS K01 MH101653NIMH NIH HHS R01 MH116961NIMH NIH HHS R01 MH118362NIMH NIH HHS R21 MH085254
6 · The paper itself

Abstract

The corpus callosum (CC) is the largest connective pathway in the human brain, linking cerebral hemispheres. There is longstanding debate in the scientific literature whether sex differences are evident in this structure, with many studies indicating the structure is larger in females. However, there are few data pertaining to this issue in infancy, during which time the most rapid developmental changes to the CC occur. In this study, we examined longitudinal brain imaging data collected from 104 infants at ages 6, 12, and 24 months. We identified sex differences in brain-size adjusted CC area and thickness characterized by a steeper rate of growth in males versus females from ages 6-24 months. In contrast to studies of older children and adults, CC size was larger for male compared to female infants. Based on diffusion tensor imaging data, we found that CC thickness is significantly associated with underlying microstructural organization. However, we observed no sex differences in the association between microstructure and thickness, suggesting that the role of factors such as axon density and/or myelination in determining CC size is generally equivalent between sexes. Finally, we found that CC length was negatively associated with nonverbal ability among females.

Indexed as

Sex CharacteristicsChild DevelopmentChild, PreschoolCorpus CallosumDiffusion Tensor ImagingFemaleHumansInfantLongitudinal StudiesMaleMultimodal ImagingBrain imagingCorpus callosumDevelopmentInfantsSexual dimorphism

Identifiers

PMID32276067
PMCPMC7292750
OpenAlexW3015513926

What OpenQuestion holds

Textmetadata
LicenceTDM
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.