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早期阿尔茨海默病中的 Tau 病理学与神经生理网络动力学的选择性破坏有关。

Tau pathology in early Alzheimer's disease is linked to selective disruptions in neurophysiological network dynamics.

机构信息

Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Department of Psychiatry, University of Oxford, Oxford, UK.

出版信息

Neurobiol Aging. 2020 Aug;92:141-152. doi: 10.1016/j.neurobiolaging.2020.03.009. Epub 2020 Mar 17.

Abstract

Understanding the role of Tau protein aggregation in the pathogenesis of Alzheimer's disease is critical for the development of new Tau-based therapeutic strategies to slow or prevent dementia. We tested the hypothesis that Tau pathology is associated with functional organization of widespread neurophysiological networks. We used electro-magnetoencephalography with [F]AV-1451 PET scanning to quantify Tau-dependent network changes. Using a graph theoretical approach to brain connectivity, we quantified nodal measures of functional segregation, centrality, and the efficiency of information transfer and tested them against levels of [F]AV-1451. Higher Tau burden in early Alzheimer's disease was associated with a shift away from the optimal small-world organization and a more fragmented network in the beta and gamma bands, whereby parieto-occipital areas were disconnected from the anterior parts of the network. Similarly, higher Tau burden was associated with decreases in both local and global efficiency, especially in the gamma band. The results support the translational development of neurophysiological "signatures" of Alzheimer's disease, to understand disease mechanisms in humans and facilitate experimental medicine studies.

摘要

了解 Tau 蛋白聚集在阿尔茨海默病发病机制中的作用对于开发新的基于 Tau 的治疗策略以减缓或预防痴呆症至关重要。我们检验了以下假设:即 Tau 病理学与广泛的神经生理网络的功能组织有关。我们使用 [F]AV-1451 PET 扫描的电磁脑图来定量 Tau 依赖性网络变化。我们使用脑连接的图论方法来量化功能分离、中心性和信息传递效率的节点指标,并针对 [F]AV-1451 的水平对其进行测试。在早期阿尔茨海默病中,Tau 负担较高与从小世界组织的最佳状态转变以及 beta 和 gamma 波段中更碎片化的网络有关,即顶枕叶区域与网络的前部区域断开连接。同样,较高的 Tau 负担与局部和全局效率的降低有关,尤其是在 gamma 波段。这些结果支持了阿尔茨海默病神经生理“特征”的转化发展,以了解人类疾病的机制并促进实验医学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faef/7280787/1538ab28112b/gr1.jpg

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