Evidence map›Paper›PMID 27639350›Full record

ArticleNeuroImage2017

Investigating white matter fibre density and morphology using fixel-based analysis.

David A Raffelt, J-Donald Tournier, Robert E Smith, David N Vaughan, Graeme Jackson, Gerard R Ridgway, Alan Connelly

Abstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 363 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
363citing 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

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

  1. Pooled it
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  7. Cortico-striatal network architecture shapes rhythmic biases in music.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  10. Spatiotemporal white-matter development across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  11. Article
  12. Observational
  13. Multiscale Heterogeneity of White Matter Morphometry in Psychiatric Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  14. Article
  15. Article
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  17. Article
  18. Article
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303 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

7 authors.

David A RaffeltFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia. Electronic address: david.raffelt@florey.edu.au.
J-Donald TournierDepartment of Biomedical Engineering, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UK; Centre for the Developing Brain, King's College London, London, UK.
Robert E SmithFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.
David N VaughanFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Department of Neurology, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.
Graeme JacksonFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.
Gerard R RidgwayFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK.
Alan ConnellyFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Department of Neurology, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.

Funding

Medical Research Council MR/J014257/2Wellcome TrustWellcome Trust 091593/Z/10/Z
6 · The paper itself

Abstract

Voxel-based analysis of diffusion MRI data is increasingly popular. However, most white matter voxels contain contributions from multiple fibre populations (often referred to as crossing fibres), and therefore voxel-averaged quantitative measures (e.g. fractional anisotropy) are not fibre-specific and have poor interpretability. Using higher-order diffusion models, parameters related to fibre density can be extracted for individual fibre populations within each voxel ('fixels'), and recent advances in statistics enable the multi-subject analysis of such data. However, investigating within-voxel microscopic fibre density alone does not account for macroscopic differences in the white matter morphology (e.g. the calibre of a fibre bundle). In this work, we introduce a novel method to investigate the latter, which we call fixel-based morphometry (FBM). To obtain a more complete measure related to the total number of white matter axons, information from both within-voxel microscopic fibre density and macroscopic morphology must be combined. We therefore present the FBM method as an integral piece within a comprehensive fixel-based analysis framework to investigate measures of fibre density, fibre-bundle morphology (cross-section), and a combined measure of fibre density and cross-section. We performed simulations to demonstrate the proposed measures using various transformations of a numerical fibre bundle phantom. Finally, we provide an example of such an analysis by comparing a clinical patient group to a healthy control group, which demonstrates that all three measures provide distinct and complementary information. By capturing information from both sources, the combined fibre density and cross-section measure is likely to be more sensitive to certain pathologies and more directly interpretable.

Indexed as

Nerve Fibers, MyelinatedDiffusion Magnetic Resonance ImagingHumansWhite MatterCross-sectionDensityDiffusionFibreFixelMRI

Identifiers

PMID27639350
PMCPMC5182031

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.