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White matter microstructural alterations in clinically isolated syndrome and multiple sclerosis

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机构: [a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China [b]Brain Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, PR China [c]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China [d]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research Beijing Normal University, Beijing 100857, PR China
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关键词: Clinically isolated syndrome Multiple sclerosis Diffusion tensor imaging Tract-based spatial statistics MRI

摘要:
This 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 (lambda(1)) and radial diffusivity (2 23). 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 lambda(1), lambda(23) 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. (C) 2018 Elsevier Ltd. All rights reserved.

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出版当年[2017]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 神经科学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 神经科学
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出版当年[2016]版:
Q4 NEUROSCIENCES Q4 CLINICAL NEUROLOGY
最新[2023]版:
Q3 CLINICAL NEUROLOGY Q4 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China [b]Brain Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, PR China
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通讯机构: [a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, PR China
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