• J Clin Neurosci · Jul 2018

    White matter microstructural alterations in clinically isolated syndrome and multiple sclerosis.

    • Jing Huang, Yaou Liu, Tengda Zhao, Ni Shu, Yunyun Duan, Zhuoqiong Ren, Zheng Sun, Zheng Liu, Hai Chen, Huiqing Dong, and Kuncheng Li.
    • Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China; Brain Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, PR China.
    • J Clin Neurosci. 2018 Jul 1; 53: 27-33.

    AbstractThis study aims to determine whether and how diffusion alteration occurs in the earliest stage of multiple sclerosis (MS) and the differences in diffusion metrics between CIS and MS by using the tract-based spatial statistics (TBSS) method based on diffusion tensor imaging (DTI). Thirty-six CIS patients (mean age ± SD: 34.0 years ± 12.6), 36 relapsing-remitting multiple sclerosis (RRMS) patients (mean age ± SD: 35.0 years ± 9.4) and 36 age- and gender-matched normal controls (NCs) were included in this study. Voxel-wise analyses were performed with TBSS using multiple diffusion metrics, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (λ1) and radial diffusivity (λ23). In the CIS patients, TBSS analyses revealed diffusion alterations in a few white matter (WM) regions including the anterior thalamic radiation, corticospinal tract, inferior fronto-occipital fasciculus, superior longitudinal fasciculus, body and splenium of the corpus callosum, internal capsule, external capsule, and cerebral peduncle. MS patients showed more widespread diffusion changes (decreased FA, increased λ1, λ23 and MD) than CIS. Exploratory analyses also revealed the possible associations between WM diffusion metrics and clinical variables (Expanded Disability Status Scale and disease duration) in the patients. This study provided imaging evidence for DTI abnormalities in CIS and MS and suggested that DTI can improve our knowledge of the path physiology of CIS and MS and clinical progression.Copyright © 2018 Elsevier Ltd. All rights reserved.

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