Evidence map›Paper›PMID 39473219›Full record

ArticleMagnetic resonance in medicine2025

Revealing membrane integrity and cell size from diffusion kurtosis time dependence.

Hong-Hsi Lee, Dmitry S Novikov, Els Fieremans, Susie Y Huang

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Hong-Hsi LeeRadiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0002-3663-6559
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 0000-0002-4213-3050
Els FieremansCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, USA.ORCID 0000-0002-1384-8591
Susie Y HuangRadiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0003-2950-7254

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 connectivityUG3EB034875 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2023 to 2024
$837k
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
NIA NIH HHS R21 AG085795NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB030006NIBIB NIH HHS U01 EB026996NIBIB NIH HHS UG3 EB034875NIH HHS DP5 OD031854NINDS NIH HHS R01 NS088040NINDS NIH HHS R01 NS118187NINDS NIH HHS R21 NS081230NINDS NIH HHS U24 NS137077
6 · The paper itself

Abstract

purposeThe nonmonotonic dependence of diffusion kurtosis on diffusion time has been observed in biological tissues, yet its relation to membrane integrity and cellular geometry remains to be clarified. Here we establish and explain the characteristic asymmetric shape of the kurtosis peak. We also derive the relation between the peak time

methodsThe peak shape and its position

resultsWe establish that

conclusionNumerical simulations and theory provide an interpretation of a specific feature of kurtosis time-dependence, offering a potential biomarker for in vivo evaluation of pathology by disentangling the functional (permeability) and structural (cell size) integrity in tissues. This is relevant as the time-dependent diffusion cumulants are sensitive to pathological changes in membrane integrity and cellular structure in diseases, such as ischemic stroke, tumors, and Alzheimer's disease.

Indexed as

Cell MembraneCell SizeComputer SimulationMonte Carlo MethodAlgorithmsBrainDiffusionDiffusion Magnetic Resonance ImagingHumanscell sizediffusion MRIexchangekurtosistime‐dependence

Identifiers

PMID39473219
PMCPMC11955223

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.