Evidence map›Paper›PMID 36520483›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Quantitative MRI maps of human neocortex explored using cell type-specific gene expression analysis.

Luke J Edwards, Peter McColgan, Saskia Helbling, Angeliki Zarkali, Lenka Vaculčiaková, Kerrin J Pine, Fred Dick, Nikolaus Weiskopf

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  7. MPRAGEMagnetic resonance in medicine · 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

8 authors at 5 institutions in 2 countries.

Luke J EdwardsDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Peter McColganDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Saskia HelblingDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Angeliki ZarkaliDementia Research Centre, University College London, London, UK.
Lenka VaculčiakováDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Kerrin J PineDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Fred DickBirkbeck/UCL Centre for Neuroimaging (BUCNI), London, UK.
Nikolaus WeiskopfDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE, Germany.
Max Planck Institute for Human Cognitive and Brain Sciences · DEErnst Strüngmann Institute for Neuroscience · DELeipzig University · DEUK Dementia Research Institute · GBUniversity College London · GB

Funding

European Research Council 616905
6 · The paper itself

Abstract

Quantitative magnetic resonance imaging (qMRI) allows extraction of reproducible and robust parameter maps. However, the connection to underlying biological substrates remains murky, especially in the complex, densely packed cortex. We investigated associations in human neocortex between qMRI parameters and neocortical cell types by comparing the spatial distribution of the qMRI parameters longitudinal relaxation rate (${R_{1}}$), effective transverse relaxation rate (${R_{2}}^{\ast }$), and magnetization transfer saturation (MTsat) to gene expression from the Allen Human Brain Atlas, then combining this with lists of genes enriched in specific cell types found in the human brain. As qMRI parameters are magnetic field strength-dependent, the analysis was performed on MRI data at 3T and 7T. All qMRI parameters significantly covaried with genes enriched in GABA- and glutamatergic neurons, i.e. they were associated with cytoarchitecture. The qMRI parameters also significantly covaried with the distribution of genes enriched in astrocytes (${R_{2}}^{\ast }$ at 3T, ${R_{1}}$ at 7T), endothelial cells (${R_{1}}$ and MTsat at 3T), microglia (${R_{1}}$ and MTsat at 3T, ${R_{1}}$ at 7T), and oligodendrocytes and oligodendrocyte precursor cells (${R_{1}}$ at 7T). These results advance the potential use of qMRI parameters as biomarkers for specific cell types.

Indexed as

NeocortexBrainBrain MappingEndothelial CellsHumansMagnetic Resonance ImaginghMRIisocortexmagnetic resonance imagingmyelinrelaxometry

Identifiers

PMID36520483
PMCPMC10152104
OpenAlexW4311566606

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.