Evidence map›Paper›PMID 27664961›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2017

Prenatal Maternal Cortisol Has Sex-Specific Associations with Child Brain Network Properties.

Dae-Jin Kim, Elysia Poggi Davis, Curt A Sandman, Olaf Sporns, Brian F O'Donnell, Claudia Buss, William P Hetrick

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  7. Review
  8. Review
  9. DHEA: a neglected biological signal that may affect fetal and child development.Journal of child psychology and psychiatry, and allied disciplines · 2024
    Article
  10. Article
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  18. The glucocorticoid footprint on the memory engram.Current opinion in endocrine and metabolic research · 2022
    Article
  19. Acute stress promotes brain network integration and reduces state transition variability.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

7 authors at 4 institutions in 2 countries.

Dae-Jin KimDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Elysia Poggi DavisDepartment of Psychology, University of Denver, Denver, CO 80208, USA.
Curt A SandmanDepartment of Psychiatry and Human Behavior, University of California Irvine, Orange, CA 92866, USA.
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Brian F O'DonnellDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Claudia BussInstitut für Medizinische Psychologie, Charité Centrum für Human-und Gesundheitswissenschaften, Charité Universitätsmedizin, Berlin 10117, Germany.
William P HetrickDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Indiana University Bloomington · USCharité - Universitätsmedizin Berlin · DEUniversity of California, Irvine · USUniversity of Denver · US

Funding

Structural & Network-Function Correlates of Fragmented Early-Life Across SpeciesP50MH096889 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARAM, TALLIE Z. · 2013 to 2023
$25.4M
Cerebellar timing dysfunction in schizophreniaR01MH074983 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI HETRICK, WILLIAM P · 2006 to 2016
$3.6M
Graph Theoretic Analysis of Brain Networks in Cannabis UsersR21DA035493 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI O'DONNELL, BRIAN FRANCIS · 2014 to 2015
$426k
NIDA NIH HHS R21 DA035493NIMH NIH HHS P50 MH096889NIMH NIH HHS R01 MH074983
6 · The paper itself

Abstract

Elevated maternal cortisol concentrations have the potential to alter fetal development in a sex-specific manner. Female brains are known to show adaptive behavioral and anatomical flexibility in response to early-life exposure to cortisol, but it is not known how these sex-specific effects manifest at the whole-brain structural networks. A prospective longitudinal study of 49 mother child dyads was conducted with serial assessments of maternal cortisol levels from 15 to 37 gestational weeks. We modeled the structural network of typically developing children (aged 6-9 years) and examined its global connectome properties, rich-club organization, and modular architecture. Network segregation was susceptible only for girls to variations in exposure to maternal cortisol during pregnancy. Girls generated more connections than boys to maintain topologically capable and efficient neural circuits, and this increase in neural cost was associated with higher levels of internalizing problems. Maternal cortisol concentrations at 31 gestational weeks gestation were most strongly associated with altered neural connectivity in girls, suggesting a sensitive period for the maternal cortisol-offspring brain associations. Our data suggest that girls exhibit an adaptive response by increasing the neural network connectivity necessary for maintaining homeostasis and efficient brain function across the lifespan.

Indexed as

Prenatal Exposure Delayed EffectsSex CharacteristicsBrainChildFemaleHumansHydrocortisoneImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleNeural PathwaysPregnancyProblem BehaviorProspective StudiesHydrocortisoneconnectomefetal programmingmaternal cortisolpregnancysex differences

Identifiers

PMID27664961
PMCPMC6084613
OpenAlexW2522529520

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.