Evidence map›Paper›PMID 27898701›Full record

ArticlePloS one2016

Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI.

Samuel Groeschel, Gisela E Hagberg, Thomas Schultz, Dávid Z Balla, Uwe Klose, Till-Karsten Hauser, Thomas Nägele, Oliver Bieri, Thomas Prasloski, Alex L MacKay and 2 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Heterogeneity of white-matter organization in the human brain.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Samuel GroeschelUniversity Children's Hospital Tübingen, Germany.
Gisela E HagbergHigh Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany.
Thomas SchultzInstitute of Computer Science, University of Bonn, Germany.
Dávid Z BallaDepartment Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Uwe KloseDepartment of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany.
Till-Karsten HauserDepartment of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany.
Thomas NägeleDepartment of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany.
Oliver BieriRadiological Physics, University of Basel, Basel, Switzerland.
Thomas PrasloskiUniversity of British Columbia, Vancouver, Canada.
Alex L MacKayUniversity of British Columbia, Vancouver, Canada.
Ingeborg Krägeloh-MannUniversity Children's Hospital Tübingen, Germany.
Klaus SchefflerHigh Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation.

resultsWe found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.

conclusionMultimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.

Indexed as

Magnetic Resonance ImagingAdolescentAdultBrainBrain MappingChildDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMyelin SheathWhite MatterYoung Adult

Identifiers

PMID27898701
PMCPMC5127571

What OpenQuestion holds

Textmetadata
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.