Evidence map›Paper›PMID 32170019›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Imaging local genetic influences on cortical folding.

Aaron F Alexander-Bloch, Armin Raznahan, Simon N Vandekar, Jakob Seidlitz, Zhixin Lu, Samuel R Mathias, Emma Knowles, Josephine Mollon, Amanda Rodrigue, Joanne E Curran and 12 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
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  8. Molecular hallmarks of hydrocephalus.Science translational medicine · 2025
    Review
  9. Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 9 institutions in 1 country.

Aaron F Alexander-BlochDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104; aaron.alexander-bloch@pennmedicine.upenn.edu.ORCID 0000-0001-6554-1893
Armin RaznahanNational Institute of Mental Health, Bethesda, MD 20814.
Simon N VandekarDepartment of Biostatistics, Vanderbilt University, Nashville, TN 37203.
Jakob SeidlitzDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104.ORCID 0000-0002-8164-7476
Zhixin LuDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.
Samuel R MathiasDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
Emma KnowlesDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
Josephine MollonDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
Amanda RodrigueDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.
Joanne E CurranDepartment of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.ORCID 0000-0002-6898-155X
Harald H H GörringDepartment of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-7072-9399
Raquel E GurDepartment of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA 19104.
Danielle S BassettDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6183-4493
Gil D HoftmanDepartment of Psychiatry, University of California, Los Angeles, CA 90095.
Godfrey PearlsonDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8627-8203
Siyuan LiuNational Institute of Mental Health, Bethesda, MD 20814.ORCID 0000-0003-3661-6248
Peter T FoxDepartment of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.ORCID 0000-0002-0465-2028
Laura AlmasyDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104.
John BlangeroDepartment of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520.
David C GlahnDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-4749-6977
Boston Children's Hospital · USChildren's Hospital of Philadelphia · USThe University of Texas Rio Grande Valley · USUniversity of Pennsylvania · USNational Institute of Mental Health · USPenn Center for AIDS Research · USUniversity of California, Los Angeles · USVanderbilt University · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Pediatric Brain ImagingZIAMH002794 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAPOPORT, JUDITH L. · 2009 to 2015
$15.3M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Imaging Genomics of the Aging BrainR01AG058464 · NIA · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2018 to 2022
$3.9M
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
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
EXTRAMURAL RES FACILITIES CONSTRC06RR015456 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI VANDEBERG, JOHN L · 2001 to 2001
$1.1M
Intramural NIH HHS ZIA MH002794NCATS NIH HHS UL1 TR001863NIA NIH HHS R01 AG058464NICHD NIH HHS R01 HD086888NIH HHS S10 OD023495NIMH NIH HHS K08 MH120564NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH119219NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Recent progress in deciphering mechanisms of human brain cortical folding leave unexplained whether spatially patterned genetic influences contribute to this folding. High-resolution in vivo brain MRI can be used to estimate genetic correlations (covariability due to shared genetic factors) in interregional cortical thickness, and biomechanical studies predict an influence of cortical thickness on folding patterns. However, progress has been hampered because shared genetic influences related to folding patterns likely operate at a scale that is much more local (<1 cm) than that addressed in prior imaging studies. Here, we develop methodological approaches to examine local genetic influences on cortical thickness and apply these methods to two large, independent samples. We find that such influences are markedly heterogeneous in strength, and in some cortical areas are notably stronger in specific orientations relative to gyri or sulci. The overall, phenotypic local correlation has a significant basis in shared genetic factors and is highly symmetric between left and right cortical hemispheres. Furthermore, the degree of local cortical folding relates systematically with the strength of local correlations, which tends to be higher in gyral crests and lower in sulcal fundi. The relationship between folding and local correlations is stronger in primary sensorimotor areas and weaker in association areas such as prefrontal cortex, consistent with reduced genetic constraints on the structural topology of association cortex. Collectively, our results suggest that patterned genetic influences on cortical thickness, measurable at the scale of in vivo MRI, may be a causal factor in the development of cortical folding.

Indexed as

AdultAgedAged, 80 and overBrainCerebral CortexDatabases, FactualFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrefrontal Cortexcerebral cortexcortical foldingcortical thicknessgenetic correlationstructural MRI

Identifiers

PMID32170019
PMCPMC7132284
OpenAlexW3010858943

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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.