Brain Network and Abnormal Hemispheric Asymmetry Analyses to Explore the Marginal Differences in Glucose Metabolic Distributions Among Alzheimer's Disease, Parkinson's Disease Dementia, and Lewy Body Dementia
Brain Network and Abnormal Hemispheric Asymmetry Analyses to Explore the Marginal Differences in Glucose Metabolic Distributions Among Alzheimer's Disease, Parkinson's Disease Dementia, and Lewy Body Dementia
复制标题
大脑网络和异常半球不对称分析探索阿尔茨海默病、帕金森病痴呆和路易体痴呆之间葡萄糖代谢分布的边际差异
DOI：
10.3389/fneur.2019.00369
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发表时间：
2019-04-12
影响因子：
3.4
通讯作者：
Shi, Kuangyu
中科院分区：
文献类型：
--
作者：
Chen, Danyan;Jiang, Jiehui;Shi, Kuangyu
促进痴呆亚型的准确诊断和确保适当的治疗，包括阿尔茨海默病（AD），帕金森病痴呆（PDD）和路易体痴呆（DLB），在临床上是重要的。然而，这三种痴呆亚型之间的葡萄糖代谢分布差异较小，这可能导致难以通过视觉评估或传统的定量方法进行诊断。在这里，我们使用新的方法探索了这个问题，包括大脑网络和异常半球不对称分析。我们对来自中国上海华山医院的AD、PDD和DLB患者以及健康对照（HC）受试者（分别为n= 22、18、22和22）进行了18 F标记的氟脱氧葡萄糖（18 F-FDG）正电子发射断层扫描（PET）成像。测量大脑网络特性，并使用图论评估组间差异。我们还计算并探索了四组大脑半球的不对称指数，以探索两个半球之间的差异是否是各组的特征。我们的研究揭示了HC组和AD组的网络特性存在显著差异（小世界系数，1.36 vs. 1.28;聚类系数，1.48 vs. 1.59;特征路径长度，1.57 vs. 1.64）。此外，在不同的痴呆症中发现了不同的中枢区域。我们还确定了AD和DLB患者的半球脑网络中的不对称性，以及PDD患者的半球脑网络中的不对称性，这可归因于相应半球的异常拓扑特性。
Facilitating accurate diagnosis and ensuring appropriate treatment of dementia subtypes, including Alzheimer's disease (AD), Parkinson's disease dementia (PDD), and Lewy body dementia (DLB), is clinically important. However, the differences in glucose metabolic distribution among these three dementia subtypes are minor, which can result in difficulties in diagnosis by visual assessment or traditional quantification methods. Here, we explored this issue using novel approaches, including brain network and abnormal hemispheric asymmetry analyses. We generated 18F-labeled fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) images from patients with AD, PDD, and DLB, and healthy control (HC) subjects (n= 22, 18, 22, and 22, respectively) from Huashan hospital, Shanghai, China. Brain network properties were measured and between-group differences evaluated using graph theory. We also calculated and explored asymmetry indices for the cerebral hemispheres in the four groups, to explore whether differences between the two hemispheres were characteristic of each group. Our study revealed significant differences in the network properties of the HC and AD groups (small-world coefficient, 1.36 vs. 1.28; clustering coefficient, 1.48 vs. 1.59; characteristic path length, 1.57 vs. 1.64). In addition, differing hub regions were identified in the different dementias. We also identified rightward asymmetry in the hemispheric brain networks of patients with AD and DLB, and leftward asymmetry in the hemispheric brain networks of patients with PDD, which were attributable to aberrant topological properties in the corresponding hemispheres.