Evidence map›Paper›PMID 34952542›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Influence of gonadal steroids on cortical surface area in infancy.

Ann Mary Alex, Tom Ruvio, Kai Xia, Shaili C Jha, Jessica B Girault, Li Wang, Gang Li, Dinggang Shen, Emil Cornea, Martin A Styner and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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 at 4 institutions in 5 countries.

Ann Mary AlexNeuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Tom RuvioNeuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Kai XiaDepartment of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-1326-0891
Shaili C JhaDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Jessica B GiraultDepartment of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.
Li WangDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Gang LiDepartment of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Dinggang ShenSchool of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China.
Emil CorneaDepartment of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.
Martin A StynerDepartment of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.
John H GilmoreDepartment of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA.
Rebecca C KnickmeyerNeuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-7708-1388
University of North Carolina at Chapel Hill · USATLAS Neuroengineering (Belgium) · BEBoston University · USKorea University · KR

Funding

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
Continued Development of Infant Brain Analysis ToolsR01MH117943 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG, WANG, LI · 2018 to 2022
$2.3M
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
Genetic Liability for Autism and Infant Brain and Behavioral DevelopmentK01MH122779 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GIRAULT, JESSICA BULLINS · 2020 to 2024
$919k
NICHD NIH HHS P50 HD103573NIMH NIH HHS K01 MH122779NIMH NIH HHS L40 MH127628NIMH NIH HHS R01 MH116225NINDS NIH HHS T32 NS007431
6 · The paper itself

Abstract

Sex differences in the human brain emerge as early as mid-gestation and have been linked to sex hormones, particularly testosterone. Here, we analyzed the influence of markers of early sex hormone exposure (polygenic risk score (PRS) for testosterone, salivary testosterone, number of CAG repeats, digit ratios, and PRS for estradiol) on the growth pattern of cortical surface area in a longitudinal cohort of 722 infants. We found PRS for testosterone and right-hand digit ratio to be significantly associated with surface area, but only in females. PRS for testosterone at the most stringent P value threshold was positively associated with surface area development over time. Higher right-hand digit ratio, which is indicative of low prenatal testosterone levels, was negatively related to surface area in females. The current work suggests that variation in testosterone levels during both the prenatal and postnatal period may contribute to cortical surface area development in female infants.

Indexed as

FingersGonadal Steroid HormonesEstradiolFemaleHumansInfantMalePregnancySex CharacteristicsTestosteroneEstradiolGonadal Steroid HormonesTestosteronecortical surface areadigit rationeuroimagingPRStestosterone

Identifiers

PMID34952542
PMCPMC9340392
OpenAlexW4200057907

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.