Evidence map›Paper›PMID 40536230›Full record

ArticleThe British journal of psychiatry : the journal of mental science2025

Reproducible sex differences in personalised functional network topography in youth.

Arielle S Keller, Kevin Y Sun, Ashley Francisco, Heather Robinson, Emily Beydler, Dani S Bassett, Matthew Cieslak, Zaixu Cui, Christos Davatzikos, Yong Fan and 18 more

Abstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Arielle S KellerDepartment of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Kevin Y SunLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ashley FranciscoLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Heather RobinsonDepartment of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
Emily BeydlerDepartment of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dani S BassettDepartment of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Matthew CieslakLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Zaixu CuiChinese Institute for Brain Research, Beijing, China.
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Yong FanDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-9869-4685
Margaret GardnerLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rachel KishtonDepartment of Family Medicine and Community Health, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sara L KornfieldLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Bart LarsenMasonic Institute for the Developing Brain, Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA.
Hongming LiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Isabella LinderLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Adam PinesDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA.
Laura PritschetLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Armin RaznahanSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, Maryland, USA.
David R RoalfLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jakob SeidlitzLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Golia ShafieiLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Russell T ShinoharaCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lauren K WhiteLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-6394-4768
Daniel H WolfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aaron Alexander-BlochLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Theodore D SatterthwaiteLifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sheila ShanmuganDepartment of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7633-163X

Funding

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
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
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
The Genetics of Personalized Functional MRI NetworksR01MH132934 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI Aaron Felix Alexander-Bloch · 2023 to 2026
$4.2M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
The Neuroimaging Brain Chart Software SuiteU24NS130411 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos, Yong Fan · 2023 to 2026
$3.7M
Olfactory and facial markers of developmental risk for psychosis in 22q11 deletion syndromeR01MH119185 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2019 to 2024
$3.5M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Using person-specific networks to uncover sex differences in vulnerability to internalizing disordersDP5OD036142 · OD · UNIVERSITY OF PENNSYLVANIA · PI Sheila Shanmugan · 2023 to 2026
$2.0M
Brain iron as a neurodevelopmental mechanism for transdianostic executive dysfunctionR00MH127293 · NIMH · UNIVERSITY OF MINNESOTA · PI Bart Larsen · 2023 to 2026
$821k
NIA NIH HHS K00 AG079790NIBIB NIH HHS R01 EB022573NIH HHS DP5 OD036142NIMH NIH HHS F30 MH138048NIMH NIH HHS R00 MH127293NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH119185NIMH NIH HHS R01 MH120174NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R01 MH132934NIMH NIH HHS R37 MH125829NINDS NIH HHS U24 NS130411
6 · The paper itself

Abstract

backgroundA key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.

aimsWe aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.

methodWe leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of

resultsSex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants' PFNs were able to classify participant sex with high accuracy.

conclusionsSex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.

Indexed as

BrainNerve NetSex CharacteristicsAdolescentChildFemaleHumansMachine LearningMagnetic Resonance ImagingMaleSex FactorsSupport Vector Machinebrain networksdevelopmentprecision brain mappingSex differencesyouth

Identifiers

PMID40536230
PMCPMC12245598

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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.