Evidence map›Paper›PMID 29901791›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2018

Mapping Cortical Laminar Structure in the 3D BigBrain.

Konrad Wagstyl, Claude Lepage, Sebastian Bludau, Karl Zilles, Paul C Fletcher, Katrin Amunts, Alan C Evans

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Review
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  8. Heterochronous laminar maturation in the human prefrontal cortex.bioRxiv : the preprint server for biology · 2025
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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

7 authors.

Konrad WagstylDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Claude LepageDepartment of Neurology and Neurosurgery, Montreal Neurological Institute (MNI), McGill University, Montreal, Canada.
Sebastian BludauInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Karl ZillesInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Paul C FletcherDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Alan C EvansDepartment of Neurology and Neurosurgery, Montreal Neurological Institute (MNI), McGill University, Montreal, Canada.

Funding

Wellcome TrustWellcome Trust 095844/Z/11/Z
6 · The paper itself

Abstract

Histological sections offer high spatial resolution to examine laminar architecture of the human cerebral cortex; however, they are restricted by being 2D, hence only regions with sufficiently optimal cutting planes can be analyzed. Conversely, noninvasive neuroimaging approaches are whole brain but have relatively low resolution. Consequently, correct 3D cross-cortical patterns of laminar architecture have never been mapped in histological sections. We developed an automated technique to identify and analyze laminar structure within the high-resolution 3D histological BigBrain. We extracted white matter and pial surfaces, from which we derived histologically verified surfaces at the layer I/II boundary and within layer IV. Layer IV depth was strongly predicted by cortical curvature but varied between areas. This fully automated 3D laminar analysis is an important requirement for bridging high-resolution 2D cytoarchitecture and in vivo 3D neuroimaging. It lays the foundation for in-depth, whole-brain analyses of cortical layering.

Indexed as

Brain MappingImaging, Three-DimensionalAnisotropyCerebral CortexHumansMagnetic Resonance Imaging

Identifiers

PMID29901791
PMCPMC5998962

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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.