Evidence map›Paper›PMID 30790073›Full record

ArticleBrain structure & function2019

Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI.

Hong-Hsi Lee, Katarina Yaros, Jelle Veraart, Jasmine L Pathan, Feng-Xia Liang, Sungheon G Kim, Dmitry S Novikov, Els Fieremans

Open access · greenAbstract read
In one paragraph

Article in Brain structure & function, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
10.2field-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

66 citing papers in PubMed, 119 citations in OpenAlex.

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  11. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
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  12. Demystifying The MyelinASN neuro · 2025
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  19. Review
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6 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

8 authors at 1 institution in 1 country.

Hong-Hsi LeeDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA. Honghsi.Lee@nyulangone.org.ORCID http://orcid.org/0000-0002-3663-6559
Katarina YarosDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Jelle VeraartDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Jasmine L PathanDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Feng-Xia LiangDepartment of Cell Biology and Microscopy Core, New York University School of Medicine, 540 First Avenue, New York, NY, 10016, USA.
Sungheon G KimDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Dmitry S NovikovDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0002-4213-3050
Els FieremansDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0002-1384-8591
New York University · US

Funding

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
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
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
Quantifying Demyelination and Axonal Loss with Diffusion MRIR21NS081230 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, KIM, SUNGHEON GENE · 2012 to 2013
$561k
NCI NIH HHS R01 CA160620NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS088040NINDS NIH HHS R21 NS081230
6 · The paper itself

Abstract

Tissue microstructure modeling of diffusion MRI signal is an active research area striving to bridge the gap between macroscopic MRI resolution and cellular-level tissue architecture. Such modeling in neuronal tissue relies on a number of assumptions about the microstructural features of axonal fiber bundles, such as the axonal shape (e.g., perfect cylinders) and the fiber orientation dispersion. However, these assumptions have not yet been validated by sufficiently high-resolution 3-dimensional histology. Here, we reconstructed sequential scanning electron microscopy images in mouse brain corpus callosum, and introduced a random-walker (RaW)-based algorithm to rapidly segment individual intra-axonal spaces and myelin sheaths of myelinated axons. Confirmed by a segmentation based on human annotations initiated with conventional machine-learning-based carving, our semi-automatic algorithm is reliable and less time-consuming. Based on the segmentation, we calculated MRI-relevant estimates of size-related parameters (inner axonal diameter, its distribution, along-axon variation, and myelin g-ratio), and orientation-related parameters (fiber orientation distribution and its rotational invariants; dispersion angle). The reported dispersion angle is consistent with previous 2-dimensional histology studies and diffusion MRI measurements, while the reported diameter exceeds those in other mouse brain studies. Furthermore, we calculated how these quantities would evolve in actual diffusion MRI experiments as a function of diffusion time, thereby providing a coarse-graining window on the microstructure, and showed that the orientation-related metrics have negligible diffusion time-dependence over clinical and pre-clinical diffusion time ranges. However, the MRI-measured inner axonal diameters, dominated by the widest cross sections, effectively decrease with diffusion time by ~ 17% due to the coarse-graining over axonal caliber variations. Furthermore, our 3d measurement showed that there is significant variation of the diameter along the axon. Hence, fiber orientation dispersion estimated from MRI should be relatively stable, while the "apparent" inner axonal diameters are sensitive to experimental settings, and cannot be modeled by perfectly cylindrical axons.

Indexed as

Diffusion Magnetic Resonance ImagingMicroscopy, Electron, ScanningAlgorithmsAnimalsAxonsCorpus CallosumFemaleImaging, Three-DimensionalMice, Inbred C57BLWhite Matter3d axon segmentation3d electron microscopyAxonal diameter distributionAxonal diameter variationCorpus callosumDiffusion coarse-grainingDiffusion time-dependenceFiber orientation distributiong-Ratio

Identifiers

PMID30790073
PMCPMC6510616
OpenAlexW2917579837

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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.