Evidence map›Paper›PMID 41822150›Full record

ArticleArXiv2026

Rotation-invariant graph message passing enables acquisition protocol generalisation in learning-based brain microstructure estimation.

Leevi Kerkelä, Hui Zhang

Abstract readPreprint
In one paragraph

Article in ArXiv, 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

2 authors.

Leevi KerkeläUCL Hawkes Institute and Department of Computer Science, University College London, UK.
Hui ZhangUCL Hawkes Institute and Department of Computer Science, University College London, UK.

Funding

Mapping heterogeneity of brain microstructural abnormalities in psychiatric disorders with normative modellingR01MH130362 · NIMH · OHIO STATE UNIVERSITY · PI Nina Vanessa Kraguljac · 2023 to 2026
$2.5M
NIMH NIH HHS R01 MH130362
6 · The paper itself

Abstract

Estimating brain microstructure has important applications in medicine and neuroscience. Diffusion-weighted magnetic resonance imaging enables measuring microstructure

Identifiers

PMID41822150
PMCPMC12978264

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.