Evidence map›Paper›PMID 41578159›Full record

ArticleMagnetic resonance in medicine2026

Field Strength-Dependent White Matter R

Florian Birk, Hamzeh Tesh, Ali Aghaeifar, Svenja Klinkowski, Praveen Iyyappan Valsala, Sebastian Mueller, Svenja Brodt, Klaus Scheffler, Rahel Heule

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Florian BirkHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0003-0860-3570
Hamzeh TeshHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Ali AghaeifarHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0002-6964-0992
Svenja KlinkowskiBrain States for Plasticity, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Praveen Iyyappan ValsalaHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0009-0009-9184-2206
Sebastian MuellerHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0003-2699-9214
Svenja BrodtBrain States for Plasticity, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0002-5998-9648
Klaus SchefflerHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0001-6316-8773
Rahel HeuleHigh-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID https://orcid.org/0000-0002-4589-6483

Funding

Deutsche Forschungsgemeinschaft HE 9297/1-1European Research Council 834940
6 · The paper itself

Abstract

purposeTo investigate how the relaxation rates (R

methodsPhase-cycled bSSFP data acquired at 3 and 9.4T in the healthy human brain were processed using motion-insensitive rapid configuration relaxometry (MIRACLE) and a frequency response analysis to derive R

resultsR

conclusionMicrostructure-driven relaxation anisotropy considerably affects pc-bSSFP relaxometry, in particular R

Indexed as

BrainDiffusion Tensor ImagingImage Processing, Computer-AssistedWhite MatterAdultAlgorithmsAnisotropyComputer SimulationFemaleHumansMaleMonte Carlo Methodbrain tissue anisotropyorientation dependencephase‐cycled bSSFPrelaxometryspin walkwhite matter

Identifiers

PMID41578159
PMCPMC12962222

What OpenQuestion holds

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LicenceCC BY
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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.