Differences in Aβ brain networks in Alzheimer's disease and healthy controls
Differences in Aβ brain networks in Alzheimer's disease and healthy controls
复制标题
阿尔茨海默病和健康对照者 Abeta 大脑网络的差异。
DOI：
10.1016/j.brainres.2016.11.019
复制
发表时间：
2017-01-15
期刊：
影响因子：
2.9
通讯作者：
Yan, Zhuangzhi
中科院分区：
文献类型：
--
作者：
Duan, Huoqiang;Jiang, Jiehui;Yan, Zhuangzhi
流行的β-淀粉样蛋白（Aβ）级联假说是最经典的阿尔茨海默病（AD）发病机制。在这一假说中，人脑中过多的Aβ斑块沉积被认为是AD的病因。碳 11 标记的匹兹堡化合物 B 正电子发射断层扫描 (11C-PiB PET) 是体内检测 A β 斑块的最新技术。因此，通过分析 11C-PiB PET 图像，可以研究 AD 患者和健康对照者 (HC) 之间 A beta 大脑网络的差异。在这项研究中，采用图论方法研究了上海华山医院 18 名中国 AD 患者和 16 名 HC 受试者的 A beta 网络的拓扑特性。结果表明，两组均表现出小世界特性，且这种特性在AD组中更为明显。此外，AD 组的聚类系数和路径长度显着较低。 AD 中的全局效率高于 HC 中的全局效率。对有回归和没有回归的直接比较发现，性别、年龄和体重对 A beta 网络没有显着影响。此外，在AD组中发现了三个改变的区域，包括左侧楔叶（CUN.L）、右侧尾状核（CAU.R）和左侧额上回（SEGdor.L）。体素相关分析显示，AD患者中，与CUN.L连接加强的区域主要位于额叶皮层和顶叶皮层，与CAU.R连接加强的区域主要位于颞叶皮层。最后，基于机器学习的分析表明，这三个区域可能是比整个大脑更好的 AD 分类生物标志物。
The prevailing beta-amyloid (A beta)-cascade hypothesis is the most classical Alzheimer's disease (AD) pathogenesis. In this hypothesis, excessive A beta plaque deposition in human brain is considered to bathe cause of AD. Carbon 11-labeled Pittsburgh compound B Positron emission tomography (11C-PiB PET) is the latest technology to detect A beta plaques in vivo. Thus, it is possible to investigate the difference of A beta brain networks between AD patients and Health Controls (HC) by analyzing 11C-PiB PET images. In this study, a graph-theoretical method was employed to investigate the topological properties of A beta networks in 18 Chinese AD patients and 16 HC subjects from Huashan Hospital, Shanghai. The results showed that both groups demonstrated small-world property, and this property was more obvious in AD group. Additionally, the clustering coefficients and path lengths were significantly lower in AD group. The global efficiency was larger in AD than in HC. A direct comparison between with and without regression found that sex, age and weight had no significant effect on the A beta network. Moreover, three altered regions in AD group were identified, including left cuneus (CUN.L), right caudate nucleus (CAU.R) and left superior frontal gyrus (SEGdor. L). A voxel-wise correlation analysis showed that in AD patients, the regions of strengthened connection with CUN.L were mainly located in frontal cortex and parietal cortex, the regions of strengthen connection with CAU.R were mainly located in temporal cortex. Finally, a machine learning based analysis demonstrated that the three regions could be better biomarkers than the whole brain for AD classification.