Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Nat Rev Neurol. 2021 Sep;17(9):545-563. doi: 10.1038/s41582-021-00529-1. Epub 2021 Jul 20.
The pathology of Alzheimer disease (AD) damages structural and functional brain networks, resulting in cognitive impairment. The results of recent connectomics studies have now linked changes in structural and functional network organization in AD to the patterns of amyloid-β and tau accumulation and spread, providing insights into the neurobiological mechanisms of the disease. In addition, the detection of gene-related connectome changes might aid in the early diagnosis of AD and facilitate the development of personalized therapeutic strategies that are effective at earlier stages of the disease spectrum. In this article, we review studies of the associations between connectome changes and amyloid-β and tau pathologies as well as molecular genetics in different subtypes and stages of AD. We also highlight the utility of connectome-derived computational models for replicating empirical findings and for tracking and predicting the progression of biomarker-indicated AD pathophysiology.
阿尔茨海默病（AD）的病理学损害了结构和功能脑网络，导致认知障碍。最近的连接组学研究结果将 AD 中结构和功能网络组织的变化与淀粉样蛋白-β和 tau 积累和扩散的模式联系起来，为该疾病的神经生物学机制提供了新的见解。此外，检测与基因相关的连接组变化可能有助于 AD 的早期诊断，并有助于制定在疾病谱的早期阶段有效的个性化治疗策略。在本文中，我们综述了连接组变化与 AD 的不同亚型和阶段的淀粉样蛋白-β和 tau 病理学以及分子遗传学之间的关联研究。我们还强调了基于连接组的计算模型在复制经验发现以及跟踪和预测生物标志物指示的 AD 病理生理学进展方面的应用。
