Evidence map›Paper›PMID 40800997›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Changes in functional connectivity in relapsing-remitting multiple sclerosis spinal cord measured via region-based and data-driven analyses.

Atlee A Witt, Anna J E Combes, Anirban Sengupta, Xinyu Zhang, Seth Stubblefield, Colin D McKnight, Trey McGonigle, Megan McGrath, Isabella Stewart, Grace Sweeney and 7 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. 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

17 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
Anna J E CombesVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Anirban SenguptaVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Xinyu ZhangDepartment of Biostatistics, Vanderbilt University, Nashville, TN, United States.
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.
Trey McGonigleDepartment of Biostatistics, Vanderbilt University, Nashville, TN, United States.
Megan McGrathVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Isabella StewartVanderbilt 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.
Logan E ProckVanderbilt 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.
Simon VandekarDepartment of Biostatistics, Vanderbilt University, Nashville, TN, United States.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Baxter RogersVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
John GoreVanderbilt 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

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Resting State Connectivity in Primate Spinal CordR01NS092961 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, LI MIN, GORE, JOHN C · 2016 to 2025
$5.3M
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
Structural and Functional MRI of the Cervical Spinal Cord in Multiple SclerosisR01NS109114 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2018 to 2022
$1.7M
Multimodal, quantitative MRI in the lumbosacral spinal cord in progressive multiple sclerosisR01NS136316 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kristin Poole O'Grady · 2024 to 2026
$1.4M
NIGMS NIH HHS T32 GM007347NIH HHS S10 OD021771NIMH NIH HHS R01 MH123563NINDS NIH HHS R01 NS092961NINDS NIH HHS R01 NS109114NINDS NIH HHS R01 NS136316
6 · The paper itself

Abstract

The clinical picture of persons with multiple sclerosis (pwMS), a neuroinflammatory disease characterized by demyelination, does not consistently correlate with pathology noted on clinical magnetic resonance imaging (MRI). Functional MRI (fMRI) is a valuable tool to understand neural network alterations resulting from structural damage, with studies in the brain employing both region-of-interest and data-driven assessment of functional connectivity. However, similar studies in the spinal cord (SC) remain limited given the challenge of imaging a small structure in an area with substantial physiologic noise. We sought to apply resting-state fMRI at 3T in the SC of healthy controls (HC) and persons with relapsing-remitting MS (pwRRMS) to assess differences in functional connectivity and relate functional markers to clinicial measures of disability. Consistent with prior SC studies, we determined strongest functional connectivity between ventral gray matter horns in both HCs and pwMS and diminished mobility associated with reduced functional connectivity. Using independent-component analysis, we observed a possible compensatory mechanism of increased connectivity in earlier compared with later stages of relapsing-remitting MS. Further exploration is warranted, and our findings support the notion of functional alterations in the SC of pwMS.

Indexed as

functional magnetic resonance imagingindependent component analysismagnetic resonance imagingmultiple sclerosisspinal cord

Identifiers

PMID40800997
PMCPMC12320019

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.