运用空间协方差模型分析高血压对大鼠大脑老化的影响  

Application of Spatial Covariance Model in the Analysis of the Impact of Hypertension on Rat Brain Aging

作　　者：林岚[1] 张柏雯 付振荣[1] 宾光宇[1] 高宏建[1] 吴水才[1] 

机构地区：[1]北京工业大学生命科学与生物工程学院,北京100124

出　　处：《中国医疗设备》2016年第2期34-38,共5页China Medical Devices

基　　金：北京市自然科学基金(7143171)资助

摘　　要：随着老龄人口的增多和生活水平的提高,我国的高血压人数不断增加,由高血压引发的大脑老化已逐渐成为影响健康的重要因素之一。高血压患者的大脑在中年期已经开始受到一定程度的损害,导致其认知能力逐渐衰退。本研究利用空间协方差模型,分别从大鼠青年组、老年组的磁共振显微图像(MRM)中提取大鼠脑老化的特征模式,并将该模式运用到高血压大鼠组。结果显示青年组与高血压组的网络分数存在显著差别。水迷宫测试的结果也显示网络分数与迷宫学习指数成负相关。实验结果证实短期存在的高血压可以加速大脑老化。可以利用高分辨率的大鼠脑MRM图像结合网络分析方法,开展由高血压引起的相关的脑部变化的治疗和预防评估工作。With the increase of the aging population and the enhancement of people＇s living standards in China, the impact of hypertension（HTN） on the brain aging has become an important health issue. When patients are still in their middle age, HTN has caused a certain degree of damage to the brain. These asymptomatic damage can cause progressively cognitive decline. In the present study, we used spatial covariance model to extract the age-related patterns from the young and old group of rats with magnetic resonance microscopy（MRM）. Then we applied this pattern to the rats with HTN. The results showed that the young group and the HTN group had significant difference in network scores, and the network scores were negatively corrected with water maze learning index. Overall, these findings prove that short term HTN may accelerate the brain aging process. The preliminary result supports the using of high resolution rat brain MRM, with network analysis in the evaluation of new treatments for and prevention of the brain changes associated with HTN.

关 键 词：大鼠脑 磁共振显微成像 高血压 协方差模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]