Neurology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Health Manage Center, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Stroke Vasc Neurol. 2019 Apr 5;4(2):99-101. doi: 10.1136/svn-2018-000209. eCollection 2019 Jul.
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.
血管性认知障碍（VCI）是与年龄相关的痴呆疾病的主要原因之一，给家庭和社会带来了巨大的负担。它是一组异质性的脑疾病。然而，脑小血管疾病（CSVD）约占 VCI 的 50%-70%，是 VCI 中更同质的亚型。目前，先进的多模态神经影像学技术，如脑网络连接组分析，被应用于探索 VCI 的潜在机制。报告了一项关于卒中后慢性 CSVD 队列（仁济 CSVD 队列研究）的结构和功能脑网络研究领域的一些进展。比较了 CSVD 患者和健康对照组的全脑和局部脑网络特征。研究结果表明，脑结构网络的破坏可能在认知功能下降中起关键作用。结果表明，脑结构网络特征对 CSVD 患者的认知具有独特的区分能力。
