Evidence map›Paper›PMID 38103623›Full record

ArticleNeuroImage2024

Distance from main arteries influences microstructural and functional brain tissue characteristics.

Viktor Weiss, Viktória Kokošová, Zdeněk Valenta, Irena Doležalová, Marek Baláž, Silvia Mangia, Shalom Michaeli, Lubomír Vojtíšek, Igor Nestrašil, Roman Herzig and 1 more

Abstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Complete solution for rotating frame relaxation functions during adiabatic pulses.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025
    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

11 authors.

Viktor WeissFirst Department of Neurology, Faculty of Medicine, Masaryk University and University Hospital of St. Anne, Brno, Czech Republic; Department of Neurology, Charles University Faculty of Medicine, Hradec Králové, Czech Republic.
Viktória KokošováFirst Department of Neurology, Faculty of Medicine, Masaryk University and University Hospital of St. Anne, Brno, Czech Republic; Department of Neurology, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czech Republic.
Zdeněk ValentaDepartment of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic.
Irena DoležalováFirst Department of Neurology, Faculty of Medicine, Masaryk University and University Hospital of St. Anne, Brno, Czech Republic.
Marek BalážFirst Department of Neurology, Faculty of Medicine, Masaryk University and University Hospital of St. Anne, Brno, Czech Republic.
Silvia MangiaCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States of America.
Shalom MichaeliCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States of America.
Lubomír VojtíšekCentral European Institute of Technology (CEITEC) Masaryk University, Neuroscience Centre, Brno, Czech Republic.
Igor NestrašilCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States of America.
Roman HerzigDepartment of Neurology, Charles University Faculty of Medicine, Hradec Králové, Czech Republic; Department of Neurology, Comprehensive Stroke Center, University Hospital Hradec Králové, Czech Republic.
Pavel FilipCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States of America; Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic. Electronic address: pvlfilip@gmail.com.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061
6 · The paper itself

Abstract

Given the substantial dependence of neurons on continuous supply of energy, the distribution of major cerebral arteries opens a question whether the distance from the main supply arteries constitutes a modulating factor for the microstructural and functional properties of brain tissue. To tackle this question, multimodal MRI acquisitions of 102 healthy volunteers over the full adult age span were utilised. Relaxation along a fictitious field in the rotating frame of rank n = 4 (RAFF4), adiabatic T1ρ, T2ρ,  and intracellular volume fraction (fICVF) derived from diffusion-weighted imaging were implemented to quantify microstructural (cellularity, myelin density, iron concentration) tissue characteristics and degree centrality and fractional amplitude of low-frequency fluctuations to probe for functional metrics. Inverse correlation of arterial distance with robust homogeneity was detected for T1ρ, T2ρ and RAFF4 for cortical grey matter and white matter, showing substantial complex microstructural differences between brain tissue close and farther from main arterial trunks. Albeit with wider variability, functional metrics pointed to increased connectivity and neuronal activity in areas farther from main arteries. Surprisingly, multiple of these microstructural and functional distance-based gradients diminished with higher age, pointing to uniformization of brain tissue with ageing. All in all, this pilot study provides a novel insight on brain regionalisation based on artery distance, which merits further investigation to validate its biological underpinnings.

Indexed as

Magnetic Resonance ImagingWhite MatterAdultArteriesBrainDiffusion Magnetic Resonance ImagingHumansPilot ProjectsArterial distanceDiffusion weighted imagingQuantitative MRIRelaxometryResting-state functional MRI

Identifiers

PMID38103623
PMCPMC10804248

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.