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用于识别无症状颈动脉狭窄认知障碍的连通性特征。

Connectivity features for identifying cognitive impairment in presymptomatic carotid stenosis.

机构信息

Department of Internal Medicine, Taipei Veterans General Hospital Hsinchu branch, Hsinchu, Taiwan ; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.

Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan ; Department of Medical Education & Research, Taipei Veterans General Hospital, Taipei, Taiwan.

出版信息

PLoS One. 2014 Jan 15;9(1):e85441. doi: 10.1371/journal.pone.0085441. eCollection 2014.

Abstract

Severe asymptomatic stenosis of the internal carotid artery (ICA) leads to increased incidence of mild cognitive impairment (MCI) likely through silent embolic infarcts and/or chronic hypoperfusion, but the brain dysfunction is poorly understood and difficult to diagnose. Thirty cognitively intact subjects with asymptomatic, severe (≥ 70%), unilateral stenosis of the ICA were compared with 30 healthy controls, matched for age, sex, cardiovascular risk factors and education level, on a battery of neuropsychiatric tests, voxel-based morphometry of magnetic resonance imaging (MRI), diffusion tensor imaging and brain-wise, seed-based analysis of resting-state functional MRI. Multivariate regression models and multivariate pattern classification (support vector machines) were computed to assess the relationship between connectivity measures and neurocognitive performance. The patients had worse dizziness scores and poorer verbal memory, executive function and complex visuo-spatial performance than controls. Twelve out of the 30 patients (40%) were considered to have MCI. Nonetheless, the leukoaraiosis Sheltens scores, hippocampal and brain volumes were not different between groups. Their whole-brain mean fractional anisotropy (FA) was significantly reduced and regional functional connectivity (Fc) was significantly impaired in the dorsal attention network (DAN), frontoparietal network, sensorimotor network and default mode network. In particular, the Fc strength at the insula of the DAN and the mean FA were linearly related with attention performance and dizziness severity, respectively. The multivariate pattern classification gave over 90% predictive accuracy of individuals with MCI or severe dizziness. Cognitive decline in stroke-free individuals with severe carotid stenosis may arise from nonselective widespread disconnections of long-range, predominantly interhemispheric non-hippocampal pathways. Connectivity measures may serve as both predictors for cases at risk and therapeutic targets for mitigating vascular cognitive impairment.

摘要

严重无症状性颈内动脉狭窄(ICA)可导致轻度认知障碍(MCI)发生率增加,其机制可能为无症状性栓塞性梗死和/或慢性低灌注,但脑功能障碍的机制尚不清楚且难以诊断。本研究比较了 30 例认知正常、无症状性、单侧 ICA 严重狭窄(≥70%)患者和 30 例年龄、性别、心血管危险因素和教育程度相匹配的健康对照者,采用一系列神经心理学测试、磁共振成像(MRI)基于体素的形态测量学、弥散张量成像和基于种子的静息状态功能 MRI 脑区分析对其进行了检测。采用多元回归模型和多元模式分类(支持向量机)来评估连接测量值与神经认知表现之间的关系。与对照组相比,患者的头晕评分更差,言语记忆、执行功能和复杂视空间表现更差。30 例患者中有 12 例(40%)被认为患有 MCI。然而,两组间的脑白质疏松症 Sheltens 评分、海马和脑体积无差异。他们的全脑平均各向异性分数(FA)显著降低,背侧注意网络(DAN)、额顶叶网络、感觉运动网络和默认模式网络的局部功能连接(Fc)显著受损。特别是,DAN 岛叶的 Fc 强度与注意力表现和头晕严重程度呈线性相关,而全脑平均 FA 与注意力表现和头晕严重程度呈线性相关。多元模式分类对 MCI 或严重头晕患者的个体预测准确率超过 90%。无卒中的严重颈动脉狭窄患者认知下降可能源于长程、主要为半球间非海马通路的非选择性广泛连接中断。连接测量值可能既是风险病例的预测指标,也是减轻血管性认知障碍的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87bb/3893296/afb0798d6371/pone.0085441.g001.jpg

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