Evidence map›Paper›PMID 35939696›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Sex differences in the functional topography of association networks in youth.

Sheila Shanmugan, Jakob Seidlitz, Zaixu Cui, Azeez Adebimpe, Danielle S Bassett, Maxwell A Bertolero, Christos Davatzikos, Damien A Fair, Raquel E Gur, Ruben C Gur and 11 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. The effect of the "exposome" on developmental brain health and cognitive outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  9. Article
  10. Neurodevelopmental considerations for transcranial magnetic stimulation trials in youth.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Fractionation of sex differences in human cortical anatomy.bioRxiv : the preprint server for biology · 2025
    Article
  17. Review
  18. Article
  19. Reproducible sex differences in personalised functional network topography in youth.The British journal of psychiatry : the journal of mental science · 2025
    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

21 authors.

Sheila ShanmuganPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Jakob SeidlitzPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Zaixu CuiPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Azeez AdebimpePenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-9049-0135
Danielle S BassettDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6183-4493
Maxwell A BertoleroPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Christos DavatzikosDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Damien A FairDepartment of Behavioral Neuroscience, Department of Psychiatry, Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR 97239.
Raquel E GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-4082-8502
Ruben C GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-9657-1996
Bart LarsenPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-7896-4342
Hongming LiDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-6934-1928
Adam PinesPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Armin RaznahanSection on Developmental Neurogenomics Unit, Intramural Research Program, National Institutes of Mental Health, Bethesda, MD 20892.
David R RoalfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
Russell T ShinoharaCenter for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104.
Jacob VogelPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.
Daniel H WolfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.
Yong FanDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-9869-4685
Aaron Alexander-BlochDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-6554-1893
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-7072-9399

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
NMDA Receptor Hypofunction in the Amygdala of Schizophrenia PatientsP50MH096891 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BILKER, WARREN B. · 2012 to 2016
$10.6M
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
TRAINING PROGRAM IN NEUROPSYCHOPHARMACOLOGY-PREDOCTORALT32MH014654 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BERRETTINI, WADE H · 1985 to 2021
$5.0M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIBIB NIH HHS R01 EB022573NIDA NIH HHS U01 DA041148NIH HHS S10 OD023495NIMH NIH HHS F31 MH011186NIMH NIH HHS K01 MH102609NIMH NIH HHS K08 MH120564NIMH NIH HHS K99 MH127293NIMH NIH HHS P50 MH096891NIMH NIH HHS R01 MH107235NIMH NIH HHS R01 MH107703NIMH NIH HHS R01 MH112070NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R25 MH119043NIMH NIH HHS R37 MH125829NIMH NIH HHS RC2 MH089924NIMH NIH HHS RF1 MH116920NIMH NIH HHS T32 MH014654NIMH NIH HHS T32 MH019112NINDS NIH HHS R01 NS085211NINDS NIH HHS T32 NS091008
6 · The paper itself

Abstract

Prior work has shown that there is substantial interindividual variation in the spatial distribution of functional networks across the cerebral cortex, or functional topography. However, it remains unknown whether there are sex differences in the topography of individualized networks in youth. Here, we leveraged an advanced machine learning method (sparsity-regularized non-negative matrix factorization) to define individualized functional networks in 693 youth (ages 8 to 23 y) who underwent functional MRI as part of the Philadelphia Neurodevelopmental Cohort. Multivariate pattern analysis using support vector machines classified participant sex based on functional topography with 82.9% accuracy (

Indexed as

Cerebral CortexNeural PathwaysSex CharacteristicsAdolescentAdultBrain MappingChildFemaleHumansMachine LearningMagnetic Resonance ImagingMaleYoung Adultassociation networksfunctional topographypersonalized functional networkssex differences

Identifiers

PMID35939696
PMCPMC9388107

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Registered trials

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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.