Evidence map›Paper›PMID 32934300›Full record

ArticleCommunications biology2020

The reliability and heritability of cortical folds and their genetic correlations across hemispheres.

Fabrizio Pizzagalli, Guillaume Auzias, Qifan Yang, Samuel R Mathias, Joshua Faskowitz, Joshua D Boyd, Armand Amini, Denis Rivière, Katie L McMahon, Greig I de Zubicaray and 8 more

Abstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
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  10. Article
  11. Article
  12. Article
  13. Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025
    Article
  14. Article
  15. Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Spurious correlations in surface-based functional brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025
    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

18 authors.

Fabrizio PizzagalliImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. fabrizio.pizzagalli@unito.it.ORCID http://orcid.org/0000-0003-4582-0224
Guillaume AuziasInstitut de Neurosciences de la Timone, UMR7289, Aix-Marseille Université & CNRS, Marseille, France.ORCID http://orcid.org/0000-0002-0414-5691
Qifan YangImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Samuel R MathiasDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Joshua FaskowitzImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0003-1814-7206
Joshua D BoydImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0002-6751-1628
Armand AminiImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0002-5070-5266
Denis RivièreUniversité Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-1902-2213
Katie L McMahonSchool of Clinical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID http://orcid.org/0000-0002-6357-615X
Greig I de ZubicarayFaculty of Health, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia.ORCID http://orcid.org/0000-0003-4506-0579
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-4069-8020
Jean-François ManginUniversité Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France.
David C GlahnDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA.ORCID http://orcid.org/0000-0001-6250-5723
Margaret J WrightQueensland Brain Institute, University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0001-7133-4970
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. neda.jahanshad@usc.edu.ORCID http://orcid.org/0000-0003-4401-8950

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
X-LINKED ADRENOLEUKODYSTROPHYP41RR015241 · NCRR · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BARKER, PETER B · 2001 to 2011
$18.5M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2004 to 2008
$11.2M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
ENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246R01MH121246 · NIMH · OHIO STATE UNIVERSITY · PI CALHOUN, VINCE D, TURNER, JESS · 2019 to 2023
$5.0M
NCRR NIH HHS P41 RR015241NCRR NIH HHS U24 RR021382NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG021910NIA NIH HHS R01 AG059874NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB015611NIBIB NIH HHS R03 EB012461NIBIB NIH HHS U54 EB020403NICHD NIH HHS R01 HD050735NIH HHS S10 OD023696NIMH NIH HHS P50 MH071616NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R01 MH117601NIMH NIH HHS R01 MH121246NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS056307NINDS NIH HHS R21 NS064534
6 · The paper itself

Abstract

Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65-0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N > 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N > 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences.

Indexed as

Magnetic Resonance ImagingAdultAgedBrainBrain MappingCerebral CortexFemaleHumansMaleMiddle Aged

Identifiers

PMID32934300
PMCPMC7493906

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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.