Evidence map›Paper›PMID 38878300›Full record

ArticleHuman brain mapping2024

Network enrichment significance testing in brain-phenotype association studies.

Sarah M Weinstein, Simon N Vandekar, Bin Li, Aaron F Alexander-Bloch, Armin Raznahan, Mingyao Li, Raquel E Gur, Ruben C Gur, David R Roalf, Min Tae M Park and 5 more

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Two axes of white matter development.Nature communications · 2026
    Article
  6. Article
  7. Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. The effect of spherical projection on spin tests for brain maps.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Sarah M WeinsteinDepartment of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3152-6286
Simon N VandekarDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-7457-9073
Bin LiDepartment of Computer and Information Sciences, Temple University College of Science and Technology, Philadelphia, Pennsylvania, USA.
Aaron F Alexander-BlochDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6554-1893
Armin RaznahanSection on Developmental Neurogenomics, National Institute of Mental Health Intramural Research Program, Bethesda, Maryland, USA.ORCID 0000-0002-5622-1190
Mingyao LiDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2422-9494
Raquel E GurDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Ruben C GurDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-9657-1996
David R RoalfDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-1728-9782
Min Tae M ParkDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4268-7432
Mallar ChakravartyDepartment of Psychiatry, McGill University, QC, Canada.ORCID 0000-0002-0759-5508
Erica B BallerDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7987-3773
Kristin A LinnDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7072-9399
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-8627-8203

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
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
Evolution of Psychosis in Youth: Multimodal Risk and Resilience MarkersR01MH119219 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E, GUR, RUBEN C. · 2019 to 2023
$3.8M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Semiparametric Inference for Psychiatric NeuroimagingR01MH123563 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VANDEKAR, SIMON NEIL · 2020 to 2024
$2.1M
Depression as a disease of network disruption: learning from multiple sclerosisK23MH133118 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Erica Berlin Baller · 2023 to 2026
$780k
Brain and Behavior Research FoundationIntramural NIH HHS ZIA MH002949NIBIB NIH HHS R01 EB022573NIBIB NIH HHS R01EB022573NIMH NIH HHS 1ZIAMH002949NIMH NIH HHS K23MH113118NIMH NIH HHS K23 MH133118NIMH NIH HHS L30 MH127652NIMH NIH HHS R01 MH112847NIMH NIH HHS R01MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01MH113550NIMH NIH HHS R01 MH119219NIMH NIH HHS R01MH119219NIMH NIH HHS R01 MH120482NIMH NIH HHS R01MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R01MH123550NIMH NIH HHS R01 MH123563NIMH NIH HHS R01MH123563NIMH NIH HHS R01 MH132934NIMH NIH HHS R01MH132934NIMH NIH HHS R37 MH125829NIMH NIH HHS R37MH125829NINDS NIH HHS R01 NS112274NINDS NIH HHS R01NS112274
6 · The paper itself

Abstract

Functional networks often guide our interpretation of spatial maps of brain-phenotype associations. However, methods for assessing enrichment of associations within networks of interest have varied in terms of both scientific rigor and underlying assumptions. While some approaches have relied on subjective interpretations, others have made unrealistic assumptions about spatial properties of imaging data, leading to inflated false positive rates. We seek to address this gap in existing methodology by borrowing insight from a method widely used in genetics research for testing enrichment of associations between a set of genes and a phenotype of interest. We propose network enrichment significance testing (NEST), a flexible framework for testing the specificity of brain-phenotype associations to functional networks or other sub-regions of the brain. We apply NEST to study enrichment of associations with structural and functional brain imaging data from a large-scale neurodevelopmental cohort study.

Indexed as

BrainPhenotypeCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleNerve Netbrain networksbrain‐phenotype associationsenrichmenthypothesis testing

Identifiers

PMID38878300
PMCPMC11179683

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