Evidence map›Paper›PMID 32636463›Full record

ArticleCommunications biology2020

A time-dependent diffusion MRI signature of axon caliber variations and beading.

Hong-Hsi Lee, Antonios Papaioannou, Sung-Lyoung Kim, Dmitry S Novikov, Els Fieremans

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Human In Vivo Validation of Frequency-Dependent QTI.Magnetic resonance in medicine · 2026
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  7. Axon Diameter Mapping From Myelin Water Diffusion MRI.IEEE transactions on medical imaging · 2026
    Article
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  16. Article
  17. Normal appearing white matter and disability in multiple sclerosis.medRxiv : the preprint server for health sciences · 2025
    Article
  18. Article
  19. Article
  20. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review

5 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

5 authors at 1 institution in 1 country.

Hong-Hsi LeeCenter for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA. Honghsi.Lee@nyulangone.org.ORCID http://orcid.org/0000-0002-3663-6559
Antonios PapaioannouCenter for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA.
Sung-Lyoung KimCenter for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA.
Dmitry S NovikovCenter for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0002-4213-3050
Els FieremansCenter for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, 10016, USA.
Advanced Imaging Research (United States) · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Arjun Vijay Masurkar · 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 Dmitry S Novikov · 2014 to 2026
$19.3M
CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
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
NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183NIBIB NIH HHS U01 EB026996NINDS NIH HHS R01 NS088040NINDS NIH HHS R21 NS081230
6 · The paper itself

Abstract

MRI provides a unique non-invasive window into the brain, yet is limited to millimeter resolution, orders of magnitude coarser than cell dimensions. Here, we show that diffusion MRI is sensitive to the micrometer-scale variations in axon caliber or pathological beading, by identifying a signature power-law diffusion time-dependence of the along-fiber diffusion coefficient. We observe this signature in human brain white matter and identify its origins by Monte Carlo simulations in realistic substrates from 3-dimensional electron microscopy of mouse corpus callosum. Simulations reveal that the time-dependence originates from axon caliber variation, rather than from mitochondria or axonal undulations. We report a decreased amplitude of time-dependence in multiple sclerosis lesions, illustrating the potential sensitivity of our method to axonal beading in a plethora of neurodegenerative disorders. This specificity to microstructure offers an exciting possibility of bridging across scales to image cellular-level pathology with a clinically feasible MRI technique.

Indexed as

Diffusion Magnetic Resonance ImagingAnimalsAxonsCorpus CallosumDiffusion Tensor ImagingFemaleHumansMiceMice, Inbred C57BLMitochondriaModels, TheoreticalMonte Carlo MethodTime FactorsWhite Matter

Identifiers

PMID32636463
PMCPMC7341838
OpenAlexW3040109440

What OpenQuestion holds

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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.