Evidence map›Paper›PMID 40939274›Full record

ArticleNeuroImage. Clinical2025

TIME: Tractography-Informed myelin estimation.

Sara Bosticardo, Matteo Battocchio, Mario Ocampo-Pineda, Alessandro Cagol, Po-Jui Lu, Esther Ruberte, Nina De Oliveira S Siebenborn, Xinjie Chen, Lester Melie-Garcia, Matthias Weigel and 4 more

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Article in NeuroImage. Clinical, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Sara BosticardoUniversity of Verona, Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, Italy; University Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland. Electronic address: sara.bosticardo@univr.it.
Matteo BattocchioUniversity of Verona, Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, Italy.
Mario Ocampo-PinedaUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Alessandro CagolUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland; University of Genova, Department of Health Sciences, Italy.
Po-Jui LuUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Esther RuberteUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland; University of Basel, Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group, Department of Biomedical Engineering, Switzerland.
Nina De Oliveira S SiebenbornUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland; University of Basel, Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group, Department of Biomedical Engineering, Switzerland.
Xinjie ChenUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Lester Melie-GarciaUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Matthias WeigelUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland; University Hospital Basel, Division of Radiological Physics, Department of Radiology, Switzerland.
Ludwig KapposUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Jens KuhleUniversity Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.
Alessandro DaducciUniversity of Verona, Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, Italy.
Cristina GranzieraUniversity Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Switzerland; University Hospital and University Basel, Multiple Sclerosis Centre, Departments of Neurology, Clinical Research and Biomedicine, Switzerland; University Hospital Basel and University of Basel, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating myelin integrity within multiple sclerosis (MS) lesions and in normal-appearing white matter is crucial for understanding demyelination and remyelination processes. While most approaches assess global myelin changes or compare lesions with homologous regions in healthy controls, they do not allow direct within-tract comparisons between lesional and non-lesional tissue. We introduce the tractography-informed myelin estimate (TIME), a novel map designed to quantify tract-specific myelin loss. TIME integrates tractography with myelin-sensitive imaging, such as myelin volume fraction, to compare lesional and non-lesional segments within the same white matter tract. By modeling local deviations from the expected myelin volume fraction signal along streamlines, TIME captures tract-specific myelin damage while accounting for within-tract variability. TIME is based on a microstructure-informed tractography framework, with an extra compartment to model signal loss caused by lesions. We evaluated TIME in 159 MS patients, assessing its association with neurological disability at baseline and longitudinally over a median follow-up of two years. At baseline, higher myelin loss captured by TIME was significantly associated with worse disability (β = 0.14, p = 0.015). Longitudinally, greater baseline disability predicted faster TIME-quantified myelin loss, which was in turn associated with a higher risk of disability worsening. In contrast, lesion-averaged myelin volume fraction showed no significant associations with either baseline disability or its progression. TIME provides a detailed, tract-specific assessment of myelin damage, providing greater sensitivity than conventional metrics, highlighting its potential as a biomarker in MS.

Indexed as

BrainDiffusion Tensor ImagingMultiple SclerosisMyelin SheathWhite MatterAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedFocal LesionsMultiple SclerosisMyelinTractography

Identifiers

PMID40939274
PMCPMC12745994

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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.