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Preserved Structural Network Organization Mediates Pathology Spread in Alzheimer’s Disease Spectrum Despite Loss of White Matter Tract Integrity

机译:尽管失去了白色物质完整性但保留的结构网络组织仍能在阿尔茨海默氏病谱中传播病理

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摘要

Models of Alzheimer’s disease (AD) hypothesize stereotyped progression via white matter (WM) fiber connections, most likely via trans-synaptic transmission of toxic proteins along neuronal pathways. An important question in the field is whether and how organization of fiber pathways is affected by disease. It remains unknown whether fibers act as conduits of degenerative pathologies, or if they also degenerate with the gray matter network. This work uses graph theoretic modeling in a longitudinal design to investigate the impact of WM network organization on AD pathology spread. We hypothesize if altered WM network organization mediates disease progression, then a previously published network diffusion model will yield higher prediction accuracy using subject-specific connectomes in place of a healthy template connectome. Neuroimaging data in 124 subjects from ADNI were assessed. Graph topology metrics show preserved network organization in patients compared to controls. Using a published diffusion model, we further probe the effect of network alterations on degeneration spread in AD. We show that choice of connectome does not significantly impact the model’s predictive ability. These results suggest that, despite measurable changes in integrity of specific fiber tracts, WM network organization in AD is preserved. Further, there is no difference in the mediation of putative pathology spread between healthy and AD-impaired networks. This conclusion is somewhat at variance with previous results, which report global topological disturbances in AD. Our data indicates the combined effect of edge thresholding, binarization, and inclusion of subcortical regions to network graphs may be responsible for previously reported effects.
机译:阿尔茨海默氏病(AD)模型通过白质(WM)纤维连接来推测定型进展,最有可能是通过毒性蛋白沿神经元途径的跨突触传递而实现的。该领域的一个重要问题是纤维通路的组织是否以及如何受到疾病的影响。纤维是否充当变性病理学的导管,或者它们是否也随着灰质网络退化而仍是未知的。这项工作在纵向设计中使用图论建模来研究WM网络组织对AD病理学传播的影响。我们假设如果改变的WM网络组织介导疾病的发展,那么以前发布的网络扩散模型将使用特定对象的连接体代替健康的模板连接体产生更高的预测准确性。评估了来自ADNI的124位受试者的神经影像数据。图形拓扑指标显示了与对照组相比患者中保留的网络组织。使用已发布的扩散模型,我们进一步探讨了网络变化对AD变性扩散的影响。我们证明了选择连接体不会显着影响模型的预测能力。这些结果表明,尽管特定光纤束的完整性发生了可测量的变化,但AD中的WM网络组织得以保留。此外,在健康的和AD受损的网络之间的假定的病理学传播的介导方面没有差异。该结论与先前的结果有些不同,先前的结果报告了AD中的整体拓扑扰动。我们的数据表明边缘阈值化,二值化以及将皮层下区域包含到网络图中的综合效果可能是先前报道的效果的原因。

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