Evidence map›Paper›PMID 40800899›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Tract-specific analysis of diffusion MRI at 3T detects cervical spinal cord aberrations in multiple sclerosis.

Atlee A Witt, Sawyer Fleishman, Delaney Houston, Logan E Prock, Grace Sweeney, Trey McGonigle, Simon Vandekar, Maxime Chamberland, Seth Stubblefield, Colin D McKnight and 3 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. 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. Review
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

13 authors.

Atlee A WittVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID https://orcid.org/0000-0002-2939-263X
Sawyer FleishmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Delaney HoustonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Logan E ProckVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Grace SweeneyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Trey McGonigleDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.
Simon VandekarDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.
Maxime ChamberlandDepartment of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.
Seth StubblefieldDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Colin D McKnightDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Kurt SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.

Funding

Semiparametric Inference for Psychiatric NeuroimagingR01MH123563 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VANDEKAR, SIMON NEIL · 2020 to 2024
$2.1M
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
Evaluating Advanced Diffusion of the Human Spinal Cord: Application to MSR01NS117816 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2021 to 2025
$1.8M
Development of Advanced MRI for the Thoracolumbar Spinal Cord for Clinical ApplicationK01EB030039 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2020 to 2023
$622k
NIBIB NIH HHS K01 EB030039NIH HHS S10 OD021771NIMH NIH HHS R01 MH123563NINDS NIH HHS R01 NS117816
6 · The paper itself

Abstract

In people with multiple sclerosis (MS), diffusion tensor imaging (DTI) applied in the spinal cord (SC) can reveal microstructural damage prior to significant symptom burden, yet lacks specificity. Diffusion tensor tractography goes beyond conventional DTI-derived microstructural indices and, though widely applied in the brain, has yet to be fully exploited in the SC of people with relapsing-remitting MS (pwRRMS). We sought to determine the course of streamlines within cervical SC white matter (WM) fiber tracts in 46 healthy controls (HCs) and 56 pwRRMS scanned at 3T and investigate whether tractography provides added value beyond conventional analyses. We extended conventional lesion load analysis by investigating lesion load specific to white matter columns and streamlines within white matter columns, and quantified diffusion features along streamlines within a column. We identified reduced fractional anisotropy (FA) within WM columns for females and older participants, though these findings were more limited in WM streamlines. We also determined no significant associations between clinical variables and either lesion load or microstructural indices as derived from streamlines. While tractography in the MS SC may have value for visualization purposes, we did not determine added benefit to applying tractography compared to conventional volume or voxel-based analyses.

Indexed as

diffusion tensor imagingmagnetic resonance imagingmultiple sclerosisspinal cordtractography

Identifiers

PMID40800899
PMCPMC12330836

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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.