Microstructural Characterization of Network-Based Neurodegeneration in Multiple Sclerosis Using High Gradient Diffusion MRI.

Motivation: Findings of this study help clarify the microstructural substrate of network-based gray matter (GM) atrophy and improve current understanding of network concepts in multiple sclerosis (MS). Goal(s): The goal of this study was to assess network behavior of microstructural alterations in atrophy-prone GM. Approach: We leveraged high gradient diffusion MRI to probe GM at the mesoscopic scale by using the SANDI (Soma and Neurite Density Imaging) method. Results: Our results demonstrated decreased cell body density in atrophy-prone GM of MS, which correlates with clinical disability. Further, covariance of localized GM microstructural alteration suggests that neuronal loss may relate in part to network-based effects. Impact: Decreased cell body density in atrophy-prone gray matter in multiple sclerosis is correlated with clinical disability and exhibits network behavior. Findings may support future development of quantitative non-invasive methods for sensitive monitoring of disease progression to enable prompt clinical intervention.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/0114
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Microstructural Characterization of Network-Based Neurodegeneration in Multiple Sclerosis Using High Gradient Diffusion MRI.

Laleh Eskandarian, Florence L. Chiang, Eric C. Klawiter, Hong‐Hsi Lee 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

Microstructural Characterization of Network-Based Neurodegeneration in Multiple Sclerosis Using High Gradient Diffusion MRI.

Laleh Eskandarian, Florence L. Chiang, Eric C. Klawiter, Hong‐Hsi Lee, Eva A. Krijnen, Susie Y. Huang, Hansol Lee
article en

Abstract

Motivation: Findings of this study help clarify the microstructural substrate of network-based gray matter (GM) atrophy and improve current understanding of network concepts in multiple sclerosis (MS). Goal(s): The goal of this study was to assess network behavior of microstructural alterations in atrophy-prone GM. Approach: We leveraged high gradient diffusion MRI to probe GM at the mesoscopic scale by using the SANDI (Soma and Neurite Density Imaging) method. Results: Our results demonstrated decreased cell body density in atrophy-prone GM of MS, which correlates with clinical disability. Further, covariance of localized GM microstructural alteration suggests that neuronal loss may relate in part to network-based effects. Impact: Decreased cell body density in atrophy-prone gray matter in multiple sclerosis is correlated with clinical disability and exhibits network behavior. Findings may support future development of quantitative non-invasive methods for sensitive monitoring of disease progression to enable prompt clinical intervention.

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 62%
Advanced Neuroimaging Techniques and Applications
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Microstructural Characterization of Network-Based Neurodegeneration in Multiple Sclerosis Using High Gradient Diffusion MRI. — Laleh Eskandarian, Florence L. Chiang, 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 (2024) | TGRS Research Map | TGRS