Evidence map›Paper›PMID 40762423›Full record

ArticleHuman brain mapping2025

Assessing Arterial Patterns in the Motor Cortex With 7 Tesla Magnetic Resonance Imaging and Vessel Distance Mapping.

Grazia Mietzner, Lilli Lümkemann, Frank Schreiber, Jascha Brüggemann, Abrar Benramadan, Marwa Al-Dubai, Alessandro Sciarra, Christoph Knoll, Esther Kuehn, Oliver Speck and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Grazia MietznerDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Lilli LümkemannDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Frank SchreiberDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Jascha BrüggemannDepartment of Biomedical Magnetic Resonance, Otto Von Guericke University, Magdeburg, Germany.
Abrar BenramadanDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Marwa Al-DubaiDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Alessandro SciarraDepartment of Biomedical Magnetic Resonance, Otto Von Guericke University, Magdeburg, Germany.
Christoph KnollGerman Center for Neurodegenerative Diseases, Magdeburg, Germany.
Esther KuehnGerman Center for Neurodegenerative Diseases, Magdeburg, Germany.
Oliver SpeckGerman Center for Neurodegenerative Diseases, Magdeburg, Germany.
Stefanie SchreiberDepartment of Neurology, Otto Von Guericke University Magdeburg, Magdeburg, Germany.
Hendrik MatternGerman Center for Neurodegenerative Diseases, Magdeburg, Germany.ORCID 0000-0001-5740-4522

Funding

Deutsche Alzheimer Gesellschaft BB-DARSDeutsche Alzheimer Gesellschaft MD-DARSDeutsche Forschungsgemeinschaft 362321501Deutsche Forschungsgemeinschaft 425899996Deutsche Forschungsgemeinschaft 446268581Deutsche Forschungsgemeinschaft 501214112
6 · The paper itself

Abstract

Leveraging high-resolution 7 T magnetic resonance imaging (MRI) and vessel distance mapping (VDM), the arterial supply patterns and dominances of the motor cortex, which could previously only be studied postmortem, were assessed in vivo and fully noninvasively. Beyond vessel patterns and dominances, the potential relation between the vascularization and the motor cortex thickness was studied. Twenty-one healthy participants underwent 7 T MRI scans to map arterial supply and motor cortex at 0.45 mm isotropic resolution. The motor cortex vasculature was segmented manually with vessel-specific labels. VDM was utilized to estimate the vessel-specific supply regions and, subsequently, assess vessel patterns and dominances. Statistical tests were applied to test if the vasculature impacts mean motor cortical thickness estimates. Vessel patterns, that is the presence of supplying vessels, were classified as three-, four-, and five-vessel patterns with a prevalence of 26.3%, 50.0%, and 23.7%, respectively. Vessel dominance, that is the ratio of supply volumes, of the ACA branches showed dominance of the pericallosal artery, callosomarginal artery, and equal contribution, in 34.2%, 34.2%, and 31.6% of the cases, respectively. For the MCA groups, the prevalence of precentral group dominance, central group dominances, and equal contribution was 13.2%, 34.2%, and 52.6%, respectively. Although the central and precentral groups were found in all hemispheres, the postcentral group was found in 28.9% of hemispheres with highly variable supply contribution. Statistical tests returned no significance for the effect of vessel patterns and dominances on the mean motor cortex thickness. With 7 T MRI and VDM, the motor cortex vascularization can be assessed fully noninvasively and longitudinally while providing overall good concordance with previous post mortem studies. Our comprehensive analysis of arterial motor cortex vascularization showed considerable variability between hemispheres, rendering the usage of pattern-specific atlases and analysis more suitable than single normative representations. The successful translation from post mortem to in vivo enables the study of vascular reserve in disorders affecting the motor cortex, such as ALS, and can be translated to other brain regions and neurodegenerative diseases in the future.

Indexed as

Cerebral ArteriesMagnetic Resonance ImagingMotor CortexAdultFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedYoung Adulthigh‐resolution imaginginter‐individual vascular variabilitymotor cortex vascularizationultra‐high fieldvessel atlasvessel dominancevessel supply patterns

Identifiers

PMID40762423
PMCPMC12322923

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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.