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结构网络拓扑揭示了临床前阿尔茨海默病个体的大脑更高的恢复能力。

Structural Network Topology Reveals Higher Brain Resilience in Individuals with Preclinical Alzheimer's Disease.

机构信息

Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.

出版信息

Brain Connect. 2023 Nov;13(9):553-562. doi: 10.1089/brain.2023.0013. Epub 2023 Sep 19.

DOI:10.1089/brain.2023.0013
PMID:37551987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10771874/
Abstract

The diagnosis of Alzheimer's disease (AD) requires the presence of amyloid and tau pathology, but it remains unclear how they affect the structural network in the pre-clinical stage. We aimed to assess differences in topological properties in cognitively normal (CN) individuals with varying levels of amyloid and tau pathology, as well as their association with AD pathology burden. A total of 68 CN individuals were included and stratified by normal/abnormal (-/+) amyloid (A) and tau (T) status based on positron emission tomography results, yielding three groups: A-T- ( = 19), A+T- ( = 28), and A+T+ ( = 21). Topological properties were measured from structural connectivity. Group differences and correlations with A and T were evaluated. Compared with the A-T- group, the A+T+ group exhibited changes in the structural network topology. At the global level, higher assortativity was shown in the A+T+ group and was correlated with greater tau burden ( = 0.29,  = 0.02), while no difference in global efficiency was found across the three groups. At the local level, the A+T+ group showed disrupted topological properties in the left hippocampus compared with the A-T- group, characterized by lower local efficiency ( < 0.01) and a lower clustering coefficient ( = 0.014). The increased linkage in the higher level architecture of the white matter network reflected by assortativity may indicate increased brain resilience in the early pathological state. Our results encourage further investigation of the topological properties of the structural network in pre-clinical AD.

摘要

阿尔茨海默病(AD)的诊断需要淀粉样蛋白和 tau 病理学的存在,但它们如何影响临床前阶段的结构网络仍不清楚。我们旨在评估认知正常(CN)个体中淀粉样蛋白和 tau 病理学水平不同的拓扑性质差异,以及它们与 AD 病理学负担的关联。

共有 68 名 CN 个体被纳入研究,并根据正电子发射断层扫描(PET)结果分为正常/异常(-/+)淀粉样蛋白(A)和 tau(T)状态,分为三组:A-T-( = 19)、A+T-( = 28)和 A+T+( = 21)。拓扑性质是从结构连接性中测量的。评估了组间差异和与 A 和 T 的相关性。

与 A-T-组相比,A+T+组的结构网络拓扑发生了变化。在全局水平上,A+T+组的聚类系数较高,与 tau 负担呈正相关( = 0.29,  = 0.02),而三组间的全局效率没有差异。在局部水平上,与 A-T-组相比,A+T+组的左侧海马结构网络的拓扑性质发生了破坏,表现为局部效率较低( < 0.01)和聚类系数较低( = 0.014)。

聚类系数反映的白质网络更高层次结构中连接的增加可能表明在早期病理状态下大脑的弹性增加。我们的结果鼓励进一步研究临床前 AD 中结构网络的拓扑性质。

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Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort.弥散张量 MRI 结构连接与临床前常染色体显性遗传阿尔茨海默病的 PET 淀粉样蛋白负荷:DIAN 队列研究。
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