国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Progressive brain rich-club network disruption from clinically isolated syndrome towards multiple sclerosis

第一作者:Shu Ni

通讯作者:Li Kuncheng,Liu Yaou

Brain network CIS clinically isolated syndrome Cl

基本信息

  • 负责人:Shu Ni
  • 数据来源: OTHERS
  • 论文编号:OTHERS20190650
  • 发表时间:2018-03-28

2018-03-28

已发表文章

发表杂志:Neuroimage Clin

发表类型: Research Article

影响因子(IF): 3.943

PMID: 30035017 Pubmed原文链接 全文下载

主要研究背景及目的

方法

We constructed high-resolution white matter (WM) structural networks in 41 CIS, 32 MS and 35 healthy controls (HCs) using diffusion MRI and deterministic tractography. Group differences in rich-club organization, global and local network metrics were investigated. The relationship between the altered network metrics, brain lesions and clinical variables including EDSS, MMSE, PASAT, disease duration were calculated. Additionally, reproducibility analysis was performed using different parcellation schemes.

结论

The rich-club organization was disrupted in MS patients and relatively preserved in CIS. The disrupted rich-club connectivity was correlated with cognitive impairment in MS. These findings suggest that impaired rich-club connectivity is an essential feature of progressive structural network disruption, heralding the development of clinical disability in MS.

主要结果

Compared with HCs, MS patients exhibited a decreased strength in all types of connections (rich-club: p < 0.0001; feeder: p = 0.0004; and local: p = 0.0026). CIS patients showed intermediate values between MS patients and HCs and exhibited a decreased strength in feeder and local connections (feeder: p = 0.019; and local: p = 0.031) but not in rich-club connections. Compared with CIS patients, MS patients showed significant reductions in rich-club connections (p = 0.0004). The reduced strength of rich-club and feeder connections was correlated with cognitive impairments in the MS group. These results were independent of lesion distribution and reproducible across different brain parcellation schemes.