Evidence map›Paper›PMID 41288336›Full record

ArticleHuman brain mapping2024

Assessment of precision and accuracy of brain white matter microstructure using combined diffusion MRI and relaxometry.

Santiago Coelho, Ying Liao, Filip Szczepankiewicz, Jelle Veraart, Sohae Chung, Yvonne W Lui, Dmitry S Novikov, Els Fieremans

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  7. Normal appearing white matter and disability in multiple sclerosis.medRxiv : the preprint server for health sciences · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Santiago CoelhoBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-1039-4803
Ying LiaoBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-0536-982X
Filip SzczepankiewiczMedical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden.
Jelle VeraartBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Sohae ChungBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-1132-900X
Yvonne W LuiBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Dmitry S NovikovBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Els FieremansBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.

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
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
Mild Traumatic Brain Injury Unveiled Using Diffusion MRI as an in vivo MicroscopeR01NS119767 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Sohae Chung, Yvonne W Lui · 2021 to 2026
$3.2M
Random Matrix Theory-Based Noise Removal in MRIR01EB027075 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2019 to 2022
$2.7M
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41-EB017183NIBIB NIH HHS R01 EB027075NIBIB NIH HHS R01EB027075NINDS NIH HHS R01 NS088040NINDS NIH HHS R01 NS119767NINDS NIH HHS R01NS119767Swedish Cancer Society 22 0592 JIA
6 · The paper itself

Abstract

Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter (WM), we designed an optimal diffusion-relaxometry MRI protocol that samples multiple b-values, B-tensor shapes, and echo times (TE). This variable-TE protocol (27 min) has as subsets a fixed-TE protocol (15 min) and a two-shell dMRI protocol (7 min), both characterizing diffusion only. We assessed the sensitivity, specificity, and reproducibility of these protocols with synthetic experiments and in six healthy volunteers. Compared with the fixed-TE protocol, the variable-TE protocol enables estimation of the free water fraction while also capturing compartmental

Indexed as

BrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingWhite MatterAdultFemaleHumansImage Processing, Computer-AssistedMaleReproducibility of ResultsSensitivity and SpecificityYoung Adultbiophysical modelingbrain white matterdiffusion‐relaxometrymicrostructure imagingmultidimensional diffusion MRIprotocol optimization

Identifiers

PMID41288336
PMCPMC11193097

What OpenQuestion holds

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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.