Evidence map›Paper›PMID 35641152›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Robust sex differences in functional brain connectivity are present in utero.

Kevin M Cook, Josepheen De Asis-Cruz, Catherine Lopez, Jessica Quistorff, Kushal Kapse, Nicole Andersen, Gilbert Vezina, Catherine Limperopoulos

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.7field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Prenatal exposure to extreme heat and autism in children.The Science of the total environment · 2026
    Article
  4. The progression of sex differences in brain networks across the lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advances in Fetal Brain Imaging.Magnetic resonance imaging clinics of North America · 2024
    Review
  13. Review
  14. Article
  15. Sex and Gender in Population Neuroscience.Current topics in behavioral neurosciences · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. 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

8 authors at 1 institution in 1 country.

Kevin M CookDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.ORCID 0000-0003-0843-8165
Josepheen De Asis-CruzDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Catherine LopezDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Jessica QuistorffDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Kushal KapseDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Nicole AndersenDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Gilbert VezinaDivision of Diagnostic Imaging and Radiology, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Catherine LimperopoulosDeveloping Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010, USA.
Children's National · US

Funding

Neurobehavioral Evaluation CoreP50HD105328 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI WILLIAM Davis GAILLARD · 2021 to 2026
$9.3M
Antecedents of Impaired Brain Development in Fetuses with Heart DiseaseR01HL116585 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI LIMPEROPOULOS, CATHERINE · 2013 to 2017
$3.8M
Diversity Supplement: Clinical Pediatric Research Training for the Fetal-Neonatal BrainT32HD098066 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI DU PLESSIS, ADRE JACQUES, LIMPEROPOULOS, CATHERINE · 2020 to 2024
$1.7M
NHLBI NIH HHS R01 HL116585NICHD NIH HHS T32 HD098066
6 · The paper itself

Abstract

Sex-based differences in brain structure and function are observable throughout development and are thought to contribute to differences in behavior, cognition, and the presentation of neurodevelopmental disorders. Using multiple support vector machine (SVM) models as a data-driven approach to assess sex differences, we sought to identify regions exhibiting sex-dependent differences in functional connectivity and determine whether they were robust and sufficiently reliable to classify sex even prior to birth. To accomplish this, we used a sample of 110 human fetal resting state fMRI scans from 95 fetuses, performed between 19 and 40 gestational weeks. Functional brain connectivity patterns classified fetal sex with 73% accuracy. Across SVM models, we identified features (functional connections) that reliably differentiated fetal sex. Highly consistent predictors included connections in the somatomotor and frontal areas alongside the hippocampus, cerebellum, and basal ganglia. Moreover, high consistency features also implicated a greater magnitude of cross-region connections in females, while male weighted features were predominately within anatomically bounded regions. Our findings indicate that these differences, which have been observed later in childhood, are present and reliably detectable even before birth. These results show that sex differences arise before birth in a manner that is consistent and reliable enough to be highly identifiable.

Indexed as

Magnetic Resonance ImagingSex CharacteristicsBrainBrain MappingCognitionFemaleHumansMalefunctional connectivitymachine learningsexsomatomotorsupport vector machine

Identifiers

PMID35641152
PMCPMC10016060
OpenAlexW4281722012

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.