Evidence map›Paper›PMID 22461613›Full record

ArticleScience (New York, N.Y.)2012

Hierarchical genetic organization of human cortical surface area.

Chi-Hua Chen, E D Gutierrez, Wes Thompson, Matthew S Panizzon, Terry L Jernigan, Lisa T Eyler, Christine Fennema-Notestine, Amy J Jak, Michael C Neale, Carol E Franz and 7 more

Abstract readTwin Study
In one paragraph

Article in Science (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 2 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

172 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Genetic topography of brain morphology.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  5. Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cerebral cortical structures linked to intelligence.bioRxiv : the preprint server for biology · 2025
    Article
  11. Spatiotemporal Patterns in Cortical Development: Age, Puberty, and Individual Variability from 9 to 13 Years of Age.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Topographic Axes of Wiring Space Converge to Genetic Topography in Shaping the Human Cortical Layout.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  20. Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Chi-Hua ChenDepartment of Psychiatry, University of California, San Diego, La Jolla, CA 92093, USA.
E D Gutierrez
Wes Thompson
Matthew S Panizzon
Terry L Jernigan
Lisa T Eyler
Christine Fennema-Notestine
Amy J Jak
Michael C Neale
Carol E Franz
Michael J Lyons
Michael D Grant
Bruce Fischl
Larry J Seidman
Ming T Tsuang
William S Kremen
Anders M Dale

Funding

MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Language, Communication and the BrainT32DC000041 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUTAS, MARTA · 1993 to 2012
$3.9M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Tools for Analyzing Cortical Structure and ConnectivityR01NS052585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2006 to 2010
$2.5M
Software Tools for Automated Modeling of White Matter Fascicles from Diffusion MRR01NS070963 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2011 to 2015
$2.3M
Inferring in Vivo Cytoarchitectural Borders in the Medial Temporal LobeR01EB006758 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2007 to 2010
$1.9M
NCCIH NIH HHS RC1 AT005728NCCIH NIH HHS RC1 AT005728-01NCRR NIH HHS P41 RR014075NCRR NIH HHS P41-RR14075NCRR NIH HHS U24 RR021382NIA NIH HHS AG018384NIA NIH HHS AG018386NIA NIH HHS AG022381NIA NIH HHS AG022982NIA NIH HHS AG031224NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG031224NIBIB NIH HHS EB006758NIBIB NIH HHS R01 EB006758NIDA NIH HHS DA029475NIDA NIH HHS RC2 DA029475NIDCD NIH HHS T32 DC000041NIDCD NIH HHS T32DC000041NINDS NIH HHS 1R01NS070963NINDS NIH HHS 1R21NS072652-01NINDS NIH HHS NS052585-01NINDS NIH HHS NS056883NINDS NIH HHS R01 NS052585NINDS NIH HHS R01 NS070963NINDS NIH HHS R21 NS072652NINDS NIH HHS U54 NS056883PHS HHS BIRN002
6 · The paper itself

Abstract

Surface area of the cerebral cortex is a highly heritable trait, yet little is known about genetic influences on regional cortical differentiation in humans. Using a data-driven, fuzzy clustering technique with magnetic resonance imaging data from 406 twins, we parceled cortical surface area into genetic subdivisions, creating a human brain atlas based solely on genetically informative data. Boundaries of the genetic divisions corresponded largely to meaningful structural and functional regions; however, the divisions represented previously undescribed phenotypes different from conventional (non-genetically based) parcellation systems. The genetic organization of cortical area was hierarchical, modular, and predominantly bilaterally symmetric across hemispheres. We also found that the results were consistent with human-specific regions being subdivisions of previously described, genetically based lobar regionalization patterns.

Indexed as

GenesBrain MappingCerebral CortexGene ExpressionGenetic VariationHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedPhenotypeTwins, DizygoticTwins, Monozygotic

Identifiers

PMID22461613
PMCPMC3690329

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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.