Tract-Specific Analysis of Cervical Spinal Cord Aberrations in Multiple Sclerosis Patients at 3T

Motivation: Multiple sclerosis (MS) is a neuroinflammatory disease damaging the spinal cord (SC) necessitating advanced diffusion techniques to capture white matter (WM) tract pathology. Goal(s): We sought to combine tractography with scalar indices to characterize associations between individual SC WM fiber tract damage and MS disability metrics, an approach not extensively explored at 3T. Approach: We applied the iFOD2 tracking algorithm to the SC WM of patients with relapsing-remitting MS (pwRRMS) and healthy controls (HCs). Results: Streamline load was significantly associated with clinical indicators of worse disability. Decreased FA derived along streamlines was significantly associated with increased age, females, and worse mobility. Impact: We provide a novel method to visualize and characterize spinal cord pathology via tractography in multiple sclerosis patients that may be used to evaluate complex microstructural damage when combined with precise lesion location and scalar indices such as fractional anisotropy.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1425
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Tract-Specific Analysis of Cervical Spinal Cord Aberrations in Multiple Sclerosis Patients at 3T

Maxime Chamberland, Delaney Houston, Seth Stubblefield, Colin D. McKnight et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced Neuroimaging Techniques and Applications
article

Tract-Specific Analysis of Cervical Spinal Cord Aberrations in Multiple Sclerosis Patients at 3T

Maxime Chamberland, Delaney Houston, Seth Stubblefield, Colin D. McKnight, Logan Prock, Atlee Witt, Simon Vandekar, Kristin P. O’Grady, Trey McGonigle, Seth A. Smith, Grace Sweeney, Sawyer Fleishman, Kurt Schilling
article en

Abstract

Motivation: Multiple sclerosis (MS) is a neuroinflammatory disease damaging the spinal cord (SC) necessitating advanced diffusion techniques to capture white matter (WM) tract pathology. Goal(s): We sought to combine tractography with scalar indices to characterize associations between individual SC WM fiber tract damage and MS disability metrics, an approach not extensively explored at 3T. Approach: We applied the iFOD2 tracking algorithm to the SC WM of patients with relapsing-remitting MS (pwRRMS) and healthy controls (HCs). Results: Streamline load was significantly associated with clinical indicators of worse disability. Decreased FA derived along streamlines was significantly associated with increased age, females, and worse mobility. Impact: We provide a novel method to visualize and characterize spinal cord pathology via tractography in multiple sclerosis patients that may be used to evaluate complex microstructural damage when combined with precise lesion location and scalar indices such as fractional anisotropy.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced Neuroimaging Techniques and Applications
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Tract-Specific Analysis of Cervical Spinal Cord Aberrations in Multiple Sclerosis Patients at 3T — Maxime Chamberland, Delaney Houston, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS