PDF(Pubmed)
Abstract：
Alzheimer\'s disease (AD) has a prolonged latent phase. Sensitive biomarkers of amyloid beta ( A β ), in the absence of clinical symptoms, offer opportunities for early detection and identification of patients at risk. Current A β biomarkers, such as CSF and PET biomarkers, are effective but face practical limitations due to high cost and limited availability. Recent blood plasma biomarkers, though accessible, still incur high costs and lack physiological significance in the Alzheimer\'s process. This study explores the potential of brain functional connectivity (FC) alterations associated with AD pathology as a non-invasive avenue for A β detection. While current stationary FC measurements lack sensitivity at the single-subject level, our investigation focuses on dynamic FC using resting-state functional MRI (rs-fMRI) and introduces the Generalized Auto-Regressive Conditional Heteroscedastic Dynamic Conditional Correlation (DCC-GARCH) model. Our findings demonstrate the superior sensitivity of DCC-GARCH to CSF A β status, and offer key insights into dynamic functional connectivity analysis in AD.
摘要：
阿尔茨海默病(AD)具有延长的潜伏期。淀粉样β（Aβ）的敏感生物标志物，在没有临床症状的情况下，提供早期发现和识别风险患者的机会。当前Aβ生物标志物，如CSF和PET生物标志物，是有效的，但由于高成本和有限的可用性而面临实际限制。最近的血浆生物标志物，虽然可以访问，在阿尔茨海默氏症的过程中仍然会产生很高的成本，并且缺乏生理意义。这项研究探讨了与AD病理学相关的脑功能连接（FC）改变作为Aβ检测的非侵入性途径的潜力。虽然当前的固定FC测量缺乏单受试者水平的灵敏度，我们的研究重点是使用静息状态功能磁共振成像（rs-fMRI）的动态FC，并介绍了广义自回归条件异方差动态条件相关（DCC-GARCH）模型。我们的研究结果表明，DCC-GARCH对CSFAβ状态具有较高的敏感性，并提供有关AD中动态功能连通性分析的关键见解。
