Evidence map›Paper›PMID 42365425›Full record

ArticleMagnetic resonance in medicine2026

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Hong-Hsi Lee, Ali Abdollahzadeh, Hansol Lee, Ricardo Coronado-Leija, Els Fieremans, Susie Y Huang, Dmitry S Novikov

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hong-Hsi LeeRadiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID https://orcid.org/0000-0002-3663-6559
Ali AbdollahzadehA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Hansol LeeRadiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2112-1197
Ricardo Coronado-LeijaCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.
Els FieremansCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-1384-8591
Susie Y HuangRadiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Dmitry S NovikovCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.ORCID https://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 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
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
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
Connectome 2.0: A BRAIN Technology Integration and Dissemination Resource for Ultra-High Gradient Magnetic Resonance Imaging of Human Brain Circuits Across ScalesU24NS137077 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2024 to 2026
$4.0M
Toward a Validated in Vivo Imaging Marker of Axonal Damage Predictive of Progressive Disability in Multiple SclerosisR01NS118187 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2021 to 2025
$2.8M
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
Hybrid TMS/MRI system for regionally tailored causal mapping of human cortical circuits and connectivityUH3EB034875 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Susie Yi Huang · 2025 to 2026
$1.8M
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
Developing a validated biomarker of cortical neurodegeneration in Alzheimer's disease using high-gradient diffusion MRIR21AG085795 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HUANG, SUSIE YI · 2024 to 2025
$459k
Academy of Finland 360360National Research Foundation of Korea RS-2024-00411768NIA NIH HHS R21 AG085795NIA NIH HHS R21AG085795NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41EB015896NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41EB017183NIBIB NIH HHS P41 EB030006NIBIB NIH HHS P41EB030006NIBIB NIH HHS U01 EB026996NIBIB NIH HHS U01EB026996NIBIB NIH HHS UH3 EB034875NIBIB NIH HHS UH3EB034875NIH HHS DP5 OD031854NIH Office of the Director DP5OD031854NINDS NIH HHS R01 NS088040NINDS NIH HHS R01NS088040NINDS NIH HHS R01 NS118187NINDS NIH HHS R01NS118187NINDS NIH HHS R21 NS081230NINDS NIH HHS R21NS081230NINDS NIH HHS U24 NS137077NINDS NIH HHS U24NS137077
6 · The paper itself

Abstract

purposeThe dependence of the long-time (tortuosity) limit of the extra-cellular diffusivity on the intra-cellular volume fraction is of fundamental importance for microstructure modeling. While such dependencies have been explored for the white matter, the tortuosity limit in gray matter is unknown due to complex cell composition and geometry. Here we rationalize and validate numerically the analytical relation between the extra-cellular diffusivity and intra-cellular fractions of cell bodies (somas) and neurites.

methodsThe tortuosity relation for extra-cellular diffusivity qualitatively follows from effective medium theory, coarse-grained by diffusion outside somas (spheres) and neurites (cylinders), respectively. This problem is equivalent to finding the overall conductivity in a medium of grains in a matrix, with methodology dating back to the 19th century. We extend the effective medium methodology to populations of impermeable spheres and randomly oriented cylinders with various volume fractions, yielding closed-form expressions corroborated by Monte Carlo simulations.

resultsWe establish the power-law scaling of the extra-cellular diffusivity with the volume fractions of the extra-soma and extra-neurite spaces. We further evaluate the proposed framework using simulations in realistic tissue geometries, and by applying it to in vivo MRI data.

conclusionTheory and simulations relate extra-cellular tortuosity to soma and neurite fractions, thereby offering a diffusion MRI protocol design optimized for in vivo assessment of soma size and soma/neurite fractions within clinical scan times. Such in vivo measurements can be used to study development, aging, and neurodegenerative disorders.

Indexed as

Cell BodyDiffusion Magnetic Resonance ImagingGray MatterNeuritesAlgorithmsAnimalsComputer SimulationDiffusionHumansMonte Carlo Methoddiffusion MRIeffective medium theoryextra‐cellular spacetortuosity

Identifiers

PMID42365425
PMCPMC13527277

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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.