Evidence map›Paper›PMID 32048987›Full record

ArticleeLife2020

Nonivasive quantification of axon radii using diffusion MRI.

Jelle Veraart, Daniel Nunes, Umesh Rudrapatna, Els Fieremans, Derek K Jones, Dmitry S Novikov, Noam Shemesh

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
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

115 citing papers in PubMed, 194 citations in OpenAlex.

  1. Article
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  5. Axon Diameter Mapping From Myelin Water Diffusion MRI.IEEE transactions on medical imaging · 2026
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55 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 at 3 institutions in 5 countries.

Jelle VeraartChampalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID 0000-0003-0781-0420
Daniel NunesChampalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID 0000-0001-8882-3228
Umesh RudrapatnaCUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Els FieremansCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, United States.ORCID 0000-0002-1384-8591
Derek K JonesCUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Dmitry S Novikov *Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, United States.ORCID 0000-0002-4213-3050
Noam Shemesh *Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID 0000-0001-6681-5876
Champalimaud Foundation · PTCardiff University · GBNew York University · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
MRI Toolbox for Rodent Brain Microstructure ImagingR01EB019980 · NIBIB · VANDERBILT UNIVERSITY · PI DOES, MARK D · 2016 to 2019
$1.8M
NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB019980NINDS NIH HHS R01 NS088040Wellcome Trust
6 · The paper itself

Abstract

Axon caliber plays a crucial role in determining conduction velocity and, consequently, in the timing and synchronization of neural activation. Noninvasive measurement of axon radii could have significant impact on the understanding of healthy and diseased neural processes. Until now, accurate axon radius mapping has eluded in vivo neuroimaging, mainly due to a lack of sensitivity of the MRI signal to micron-sized axons. Here, we show how - when confounding factors such as extra-axonal water and axonal orientation dispersion are eliminated - heavily diffusion-weighted MRI signals become sensitive to axon radii. However, diffusion MRI is only capable of estimating a single metric, the effective radius, representing the entire axon radius distribution within a voxel that emphasizes the larger axons. Our findings, both in rodents and humans, enable noninvasive mapping of critical information on axon radii, as well as resolve the long-standing debate on whether axon radii can be quantified.

Indexed as

BrainAdultAnimalsAxonsDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedNeuroimagingRatsRats, Long-EvansYoung Adultaxon diametercorpus callosumdiffusion MRIhumanneuroscienceratwhite matter

Identifiers

PMID32048987
PMCPMC7015669
OpenAlexW3005723313

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.