Evidence map›Paper›PMID 27303273›Full record

ArticleFrontiers in neuroanatomy2016

Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum.

Farshid Sepehrband, Daniel C Alexander, Kristi A Clark, Nyoman D Kurniawan, Zhengyi Yang, David C Reutens

Abstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  8. Article
  9. Frontiers in neuroscience · 2022
    Article
  10. Cuprizone Intoxication Results in Myelin Vacuole Formation.Frontiers in cellular neuroscience · 2022
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
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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.

Farshid SepehrbandCentre for Advanced Imaging, The University of QueenslandBrisbane, QLD, Australia; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern CaliforniaLos Angeles, CA, USA.
Daniel C AlexanderDepartment of Computer Science, Centre for Medical Image Computing, University College London London, UK.
Kristi A ClarkLaboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California Los Angeles, CA, USA.
Nyoman D KurniawanCentre for Advanced Imaging, The University of Queensland Brisbane, QLD, Australia.
Zhengyi YangCentre for Advanced Imaging, The University of QueenslandBrisbane, QLD, Australia; Brainnetome Center, Institute of Automation, Chinese Academy of SciencesBeijing, China; Faculty of Information Engineering, Southwest University of Science and TechnologyMianyang, China.
David C ReutensCentre for Advanced Imaging, The University of Queensland Brisbane, QLD, Australia.

Funding

Changes in the reading network of dyslexia as measured by multimodal imagingR00HD065832 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CLARK, KRISTI A · 2013 to 2015
$734k
Medical Research Council MR/M009106/1NICHD NIH HHS R00 HD065832
6 · The paper itself

Abstract

Axon diameter is an important neuroanatomical characteristic of the nervous system that alters in the course of neurological disorders such as multiple sclerosis. Axon diameters vary, even within a fiber bundle, and are not normally distributed. An accurate distribution function is therefore beneficial, either to describe axon diameters that are obtained from a direct measurement technique (e.g., microscopy), or to infer them indirectly (e.g., using diffusion-weighted MRI). The gamma distribution is a common choice for this purpose (particularly for the inferential approach) because it resembles the distribution profile of measured axon diameters which has been consistently shown to be non-negative and right-skewed. In this study we compared a wide range of parametric probability distribution functions against empirical data obtained from electron microscopy images. We observed that the gamma distribution fails to accurately describe the main characteristics of the axon diameter distribution, such as location and scale of the mode and the profile of distribution tails. We also found that the generalized extreme value distribution consistently fitted the measured distribution better than other distribution functions. This suggests that there may be distinct subpopulations of axons in the corpus callosum, each with their own distribution profiles. In addition, we observed that several other distributions outperformed the gamma distribution, yet had the same number of unknown parameters; these were the inverse Gaussian, log normal, log logistic and Birnbaum-Saunders distributions.

Indexed as

axon diameter distributioncorpus callosumelectron microscopygamma distributiongeneralized extreme value distributionprobability distribution function

Identifiers

PMID27303273
PMCPMC4880597

What OpenQuestion holds

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LicenceCC BY
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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.