Open AccessDetecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging
Author(s) -
Sourajit M. Mustafi,
Jaroslaw Harezlak,
Chandana Kodiweera,
Jennifer S. Randolph,
James Ford,
Heather A. Wishart,
YuChien Wu
Publication year - 2019
Publication title -
neural regeneration research/neural regeneration research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.93
H-Index - 38
eISSN - 1876-7958
pISSN - 1673-5374
DOI - 10.4103/1673-5374.243716
Subject(s) - white matter , diffusion mri , multiple sclerosis , magnetic resonance imaging , fractional anisotropy , pathology , diffusion imaging , medicine , nuclear magnetic resonance , internal capsule , neurite , nuclear medicine , radiology , physics , chemistry , psychiatry , biochemistry , in vitro
Multiple sclerosis is a neurodegenerative and inflammatory disease, a hallmark of which is demyelinating lesions in the white matter. We hypothesized that alterations in white matter microstructures can be non-invasively characterized by advanced diffusion magnetic resonance imaging. Seven diffusion metrics were extracted from hybrid diffusion imaging acquisitions via classic diffusion tensor imaging, neurite orientation dispersion and density imaging, and q-space imaging. We investigated the sensitivity of the diffusion metrics in 36 sets of regions of interest in the brain white matter of six female patients (age 52.8 ± 4.3 years) with multiple sclerosis. Each region of interest set included a conventional T2-defined lesion, a matched perilesion area, and normal-appearing white matter. Six patients with multiple sclerosis (n = 5) or clinically isolated syndrome (n = 1) at a mild to moderate disability level were recruited. The patients exhibited microstructural alterations from normal-appearing white matter transitioning to perilesion areas and lesions, consistent with decreased tissue restriction, decreased axonal density, and increased classic diffusion tensor imaging diffusivity. The findings suggest that diffusion compartment modeling and q-space analysis appeared to be sensitive for detecting subtle microstructural alterations between perilesion areas and normal-appearing white matter.