Evidence map›Paper›PMID 39178859›Full record

ArticleNeuron2024

A bimodal taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients.

William E Snyder, Petra E Vértes, Vanessa Kyriakopoulou, Konrad Wagstyl, Logan Z J Williams, Dustin Moraczewski, Adam G Thomas, Vyacheslav R Karolis, Jakob Seidlitz, Denis Rivière and 4 more

Abstract read
In one paragraph

Article in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  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
  8. Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

William E SnyderDepartment of Psychiatry, University of Cambridge, Cambridge, UK; Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA. Electronic address: will.snyder@nih.gov.
Petra E VértesDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Vanessa KyriakopoulouCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
Konrad WagstylWellcome Centre for Human Neuroimaging, University College London, London, UK.
Logan Z J WilliamsCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
Dustin MoraczewskiData Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA.
Adam G ThomasData Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA.
Vyacheslav R KarolisCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Jakob SeidlitzLifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Denis RivièreUniversité Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette 91191, France.
Emma C RobinsonCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
Jean-Francois ManginUniversité Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette 91191, France.
Armin RaznahanSection on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA.
Edward T BullmoreDepartment of Psychiatry, University of Cambridge, Cambridge, UK; Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK.

Funding

Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Data Science and Sharing TeamZICMH002960 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI THOMAS, ADAM G · 2017 to 2025
$10.3M
Intramural NIH HHS ZIA MH002949Intramural NIH HHS ZIC MH002960
6 · The paper itself

Abstract

We developed a computational pipeline (now provided as a resource) for measuring morphological similarity between cortical surface sulci to construct a sulcal phenotype network (SPN) from each magnetic resonance imaging (MRI) scan in an adult cohort (n = 34,725; 45-82 years). Networks estimated from pairwise similarities of 40 sulci on 5 morphological metrics comprised two clusters of sulci, represented also by the bimodal distribution of sulci on a linear-to-complex dimension. Linear sulci were more heritable and typically located in unimodal cortex, and complex sulci were less heritable and typically located in heteromodal cortex. Aligning these results with an independent fetal brain MRI cohort (n = 228; 21-36 gestational weeks), we found that linear sulci formed earlier, and the earliest and latest-forming sulci had the least between-adult variation. Using high-resolution maps of cortical gene expression, we found that linear sulcation is mechanistically underpinned by trans-sulcal gene expression gradients enriched for developmental processes.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overBrainCerebral CortexCohort StudiesFemaleFetusGene Expression Regulation, DevelopmentalHumansMaleMiddle Agedcortical foldingcytoarchitecturefetal brain developmentMRIneurodevelopmentneuroimagingsulcal morphologysulcal phenotype networkstranscriptomics

Identifiers

PMID39178859
PMCPMC11502256

What OpenQuestion holds

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Registered trials

None linked

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.