Neuroimaging studies on cognitive impairment due to cerebral small vessel disease

被引:11
|
作者
Du, Jing [1 ]
Xu, Qun [2 ]
机构
[1] Shanghai Jiao Tong Univ, Neurol, Sch Med, Affiliated Renji Hosp, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Hlth Manage Ctr, Sch Med, Affiliated Renji Hosp, Shanghai, Peoples R China
关键词
vascular cognitive impairment; cerebral small vessel disease; neuroimaging techniques; brain networks; STRUCTURAL NETWORK EFFICIENCY; STROKE; MICROBLEEDS;
D O I
10.1136/svn-2018-000209
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Vascular cognitive impairment (VCI) is a major contributor to age-related dementing illnesses which imposes a tremendous burden on families and society. It is a heterogeneous group of brain disorders. However, cerebral small vessel disease (CSVD) accounts for about 50%-70% of VCI, which represented a more homogeneous subtype of VCI. Advanced multimodal neuroimaging techniques like brain network connectome analyses are currently applied to explore the underlying mechanism of VCI. Some progress in the field of structural and functional brain network researches on a poststroke longitudinal CSVD cohort (Renji CSVD Cohort Study) was reported. Global and regional brain network characters were compared between patients with CSVD and healthy control. It suggested that distributed brain structural network disruption may play a pivot role in the cognitive decline. The results showed that brain structural network characters have distinctive differentiating capacity on the cognition of patients with CSVD.
引用
收藏
页码:99 / 101
页数:3
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