Evidence map›Paper›PMID 28915311›Full record

ArticleNMR in biomedicine2017

Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?

Kurt Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson

Abstract read
In one paragraph

Article in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
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  5. Article
  6. DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  7. Article
  8. Modeling a Shared Reality of Tractography through Varied Structural Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Fiber orientation-dependent TMagnetic resonance in medicine · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

2 more citing papers are in PubMed but not listed here.

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

6 authors.

Kurt SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-3686-7645
Yurui GaoVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Vaibhav JanveVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Iwona StepniewskaDepartment of Psychology, Vanderbilt University, Nashville, TN, USA.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
The Biological Basis of Diffusion MRI of the BrainR01NS058639 · NINDS · VANDERBILT UNIVERSITY · PI ANDERSON, ADAM W · 2008 to 2016
$3.7M
LSM880-Airyscan Confocal Microscope for Large Shared ResourceS10OD021630 · OD · VANDERBILT UNIVERSITY · PI WELLS, K. SAM · 2016 to 2016
$560k
NICHD NIH HHS U54 HD083211NIH HHS S10 OD021630NINDS NIH HHS R01 NS058639
6 · The paper itself

Abstract

It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking, as well as microstructural modeling of brain tissues. This "crossing fiber" problem has been estimated to affect anywhere from 30% to as many as 90% of white matter voxels, and it is often assumed that increasing spatial resolution will decrease the prevalence of voxels containing multiple fiber populations. The aim of this study is to estimate the extent of the crossing fiber problem as we progressively increase the spatial resolution, with the goal of determining whether it is possible to mitigate this problem with higher resolution spatial sampling. This is accomplished using ex vivo MRI data of the macaque brain, followed by histological analysis of the same specimen to validate these measurements, as well as to extend this analysis to resolutions not yet achievable in practice with MRI. In both dMRI and histology, we find unexpected results: the prevalence of crossing fibers increases as we increase spatial resolution. The problem of crossing fibers appears to be a fundamental limitation of dMRI associated with the complexity of brain tissue, rather than a technical problem that can be overcome with advances such as higher fields and stronger gradients.

Indexed as

DiffusionDiffusion Magnetic Resonance ImagingSignal-To-Noise Ratiocrossing fibersdiffusion MRIhistologymacaquevalidationwhite matter

Identifiers

PMID28915311
PMCPMC5685916

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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.