Evidence map›Paper›PMID 41198676›Full record

ArticleNature communications2025

Scattering approach to diffusion quantifies axonal damage in brain injury.

Ali Abdollahzadeh, Ricardo Coronado-Leija, Hong-Hsi Lee, Alejandra Sierra, Els Fieremans, Dmitry S Novikov

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Normal appearing white matter and disability in multiple sclerosis.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ali AbdollahzadehCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA. ali.abdollahzadeh@uef.fi.ORCID http://orcid.org/0000-0001-6234-2012
Ricardo Coronado-LeijaCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Hong-Hsi LeeAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3663-6559
Alejandra SierraA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0001-5399-2056
Els FieremansCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-1384-8591
Dmitry S NovikovCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA. dmitry.novikov@nyulangone.org.ORCID http://orcid.org/0000-0002-4213-3050

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 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
Revealing tissue microstructure in the brain gray matter in Alzheimer's disease using in vivo high-gradient diffusion MRIDP5OD031854 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HONG HSI · 2021 to 2025
$2.1M
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
Academy of Finland (Suomen Akatemia) 360360Academy of Finland (Suomen Akatemia) 361370NIBIB NIH HHS P41 EB017183NIH HHS DP5 OD031854NINDS NIH HHS R01 NS088040NINDS NIH HHS R21 NS081230ODCDC CDC HHS DP5 OD031854
6 · The paper itself

Abstract

Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level alterations that occur much earlier than volumetric changes observable with the millimeter-resolution of medical imaging modalities. Morphological changes in axons, such as axonal varicosities or beadings, are observed in neurological disorders, as well as in development and aging. Here, we reveal the sensitivity of time-dependent diffusion MRI (dMRI) to the structurally disordered axonal morphology at the micrometer scale. Scattering theory uncovers the two parameters that determine the diffusive dynamics of water along axons: the average reciprocal cross-section and the variance of long-range cross-sectional fluctuations. This theoretical development allows us to predict dMRI metrics sensitive to axonal alterations over tens of thousands of axons in seconds rather than months of simulations in a male rat model of traumatic brain injury, and is corroborated with ex vivo dMRI. Our approach bridges the gap between micrometers and millimeters in resolution, offering quantitative and objective biomarkers applicable to a broad spectrum of neurological disorders.

Indexed as

AxonsBrain InjuriesBrain Injuries, TraumaticDiffusion Magnetic Resonance ImagingAnimalsBrainDisease Models, AnimalMaleRatsRats, Sprague-Dawley

Identifiers

PMID41198676
PMCPMC12592534

What OpenQuestion holds

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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.