Evidence map›Paper›PMID 34272784›Full record

ArticleHuman brain mapping2021

Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics.

Peter McColgan, Saskia Helbling, Lenka Vaculčiaková, Kerrin Pine, Konrad Wagstyl, Fakhereh Movahedian Attar, Luke Edwards, Marina Papoutsi, Yongbin Wei, Martijn Pieter Van den Heuvel and 3 more

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
  6. Article
  7. Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Neuroimaging at 7 Tesla: a pictorial narrative review.Quantitative imaging in medicine and surgery · 2022
    Review
  15. Article
  16. Cortical Cross-Frequency Coupling Is Affected byFrontiers in neuroscience · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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

13 authors.

Peter McColganDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Saskia HelblingDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Lenka VaculčiakováDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Kerrin PineDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Konrad WagstylThe Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK.
Fakhereh Movahedian AttarDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Luke EdwardsDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Marina PapoutsiHuntington's Disease Research Centre, Institute of Neurology, University College London, London.
Yongbin WeiVrije Universiteit Amsterdam, Complex Traits Genetics Lab, Amsterdam, Netherlands.
Martijn Pieter Van den HeuvelVrije Universiteit Amsterdam, Complex Traits Genetics Lab, Amsterdam, Netherlands.
Sarah J TabriziHuntington's Disease Research Centre, Institute of Neurology, University College London, London.
Geraint ReesThe Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK.
Nikolaus WeiskopfDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Funding

European Research Council 616905
6 · The paper itself

Abstract

Ultra-high field MRI across the depth of the cortex has the potential to provide anatomically precise biomarkers and mechanistic insights into neurodegenerative disease like Huntington's disease that show layer-selective vulnerability. Here we compare multi-parametric mapping (MPM) measures across cortical depths for a 7T 500 μm whole brain acquisition to (a) layer-specific cell measures from the von Economo histology atlas, (b) layer-specific gene expression, using the Allen Human Brain atlas and (c) white matter connections using high-fidelity diffusion tractography, at a 1.3 mm isotropic voxel resolution, from a 300mT/m Connectom MRI system. We show that R2*, but not R1, across cortical depths is highly correlated with layer-specific cell number and layer-specific gene expression. R1- and R2*-weighted connectivity strength of cortico-striatal and intra-hemispheric cortical white matter connections was highly correlated with grey matter R1 and R2* across cortical depths. Limitations of the layer-specific relationships demonstrated are at least in part related to the high cross-correlations of von Economo atlas cell counts and layer-specific gene expression across cortical layers. These findings demonstrate the potential and limitations of combining 7T MPMs, gene expression and white matter connections to provide an anatomically precise framework for tracking neurodegenerative disease.

Indexed as

Cerebral CortexDiffusion Magnetic Resonance ImagingEcho-Planar ImagingMyelin SheathNerve NetWhite MatterAdultAtlases as TopicFemaleGene ExpressionHumansMaleNeurodegenerative DiseasesYoung Adultgene expressionhistologyneurodegenerationultra-high field MRI

Identifiers

PMID34272784
PMCPMC8449108

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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.