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

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.

Authors

Institutions

Publication Details

Journal
Imaging Neuroscience
Published
2025-01-01
DOI
https://doi.org/10.1162/imag.a.51
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

John C. Gore, Baxter P. Rogers, I. Stewart, Delaney Houston et al.
2 links
Imaging Neuroscience
Functional Brain Connectivity Studies
article

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

John C. Gore, Baxter P. Rogers, I. Stewart, Delaney Houston, Seth Stubblefield, Colin D. McKnight, Logan Prock, Anirban Sengupta, Atlee Witt, Anna Combes, Simon Vandekar, Kristin P. O’Grady, Trey McGonigle, Xinyu Zhang, Seth A. Smith, Grace Sweeney, Megan McGrath
article en

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.

Imaging NeuroscienceVol. 3
Queen Mary University of London (GB), Vanderbilt University (US), University College London (GB), Vanderbilt University Medical Center (US)
National Institutes of Health, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 88%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.