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Abstract #0114

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

Florence L. Chiang1, Eva Krijnen2, Laleh Eskandarian1, Hong-Hsi Lee1, Hansol Lee1, Eric C. Klawiter2, and Susie Y. Huang1
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Neurology, Massachusetts General Hospital, Boston, MA, United States

Synopsis

Keywords: Microstructure, Gray Matter, Neurodegeneration

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.

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