Pietzuch Manuela, King Anna E, Ward David D, Vickers James C
Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Front Aging Neurosci. 2019 Mar 6;11:30. doi: 10.3389/fnagi.2019.00030. eCollection 2019.
Magnetic resonance imaging (MRI) offers significant insight into the complex organization of neural networks within the human brain. Using resting-state functional MRI data, topological maps can be created to visualize changes in brain activity, as well as to represent and assess the structural and functional connections between different brain regions. Crucially, Alzheimer's disease (AD) is associated with progressive loss in this connectivity, which is particularly evident within the default mode network. In this paper, we review the recent literature on how factors that are associated with risk of dementia may influence the organization of the brain network structures. In particular, we focus on cognitive reserve and the common genetic polymorphisms of and Val66Met.
磁共振成像（MRI）为深入了解人类大脑神经网络的复杂组织提供了重要视角。利用静息态功能MRI数据，可以创建拓扑图以可视化大脑活动的变化，以及表示和评估不同脑区之间的结构和功能连接。至关重要的是，阿尔茨海默病（AD）与这种连接性的逐渐丧失有关，这在默认模式网络中尤为明显。在本文中，我们回顾了最近关于与痴呆风险相关的因素如何影响脑网络结构组织的文献。特别是，我们关注认知储备以及脑源性神经营养因子（BDNF）的常见基因多态性和缬氨酸66蛋氨酸（Val66Met）。
