Evidence map›Paper›PMID 40019134›Full record

ArticleeLife2025

Bridging the 3D geometrical organisation of white matter pathways across anatomical length scales and species.

Hans Martin Kjer, Mariam Andersson, Yi He, Alexandra Pacureanu, Alessandro Daducci, Marco Pizzolato, Tim Salditt, Anna-Lena Robisch, Marina Eckermann, Mareike Töpperwien and 6 more

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  10. Article
  11. Review
  12. Brain connectivity: complex, not chaotic.Brain structure & function · 2025
    Article
  13. Article
  14. Review
  15. 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

16 authors.

Hans Martin KjerDanish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.ORCID https://orcid.org/0000-0001-7900-5733
Mariam AnderssonDanish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Yi HeDanish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Alexandra PacureanuESRF - The European Synchrotron, Grenoble, France.
Alessandro DaducciDepartment of Computer Science, University of Verona, Verona, Italy.
Marco PizzolatoDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Tim SaldittInstitut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany.ORCID https://orcid.org/0000-0003-4636-0813
Anna-Lena RobischInstitut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany.
Marina EckermannESRF - The European Synchrotron, Grenoble, France.
Mareike TöpperwienInstitut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany.
Anders Bjorholm DahlDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Maria Louise ElkjærDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Zsolt IllesDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Maurice PtitoDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Vedrana Andersen DahlDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Tim B DyrbyDanish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.ORCID https://orcid.org/0000-0003-3361-9734

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Captital Region of Denmark Research Foundation A5657European Research Council 101044180Independent Research Fund Denmark 9039-00370BLundbeck Foundation R118-A11472Lundbeck Foundation R347-2020-2454NIMH NIH HHS U54 MH091657Scleroseforeningen A41354
6 · The paper itself

Abstract

We used diffusion MRI and x-ray synchrotron imaging on monkey and mice brains to examine the organisation of fibre pathways in white matter across anatomical scales. We compared the structure in the corpus callosum and crossing fibre regions and investigated the differences in cuprizone-induced demyelination in mouse brains versus healthy controls. Our findings revealed common principles of fibre organisation that apply despite the varying patterns observed across species; small axonal fasciculi and major bundles formed laminar structures with varying angles, according to the characteristics of major pathways. Fasciculi exhibited non-straight paths around obstacles like blood vessels, comparable across the samples of varying fibre complexity and demyelination. Quantifications of fibre orientation distributions were consistent across anatomical length scales and modalities, whereas tissue anisotropy had a more complex relationship, both dependent on the field-of-view. Our study emphasises the need to balance field-of-view and voxel size when characterising white matter features across length scales.

Indexed as

White MatterAnimalsCorpus CallosumCuprizoneDemyelinating DiseasesDiffusion Magnetic Resonance ImagingImaging, Three-DimensionalMiceCuprizone3D imagingmouseMouseneurosciencestructure tensortractographyvervet monkeywhite matter

Identifiers

PMID40019134
PMCPMC11870653

What OpenQuestion holds

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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.