Grothe Michel J, Teipel Stefan J
German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, Rostock, 18147, Germany.
Department of Psychosomatic Medicine, University of Rostock, Gehlsheimer Str. 20, Rostock, 18147, Germany.
Hum Brain Mapp. 2016 Jan;37(1):35-53. doi: 10.1002/hbm.23018. Epub 2015 Oct 6.
Recent neuroimaging studies of Alzheimer's disease (AD) have emphasized topographical similarities between AD-related brain changes and a prominent cortical association network called the default-mode network (DMN). However, the specificity of distinct imaging abnormalities for the DMN compared to other intrinsic connectivity networks (ICNs) of the limbic and heteromodal association cortex has not yet been examined systematically. We assessed regional amyloid load using AV45-PET, neuronal metabolism using FDG-PET, and gray matter volume using structural MRI in 473 participants from the Alzheimer's Disease Neuroimaging Initiative, including preclinical, predementia, and clinically manifest AD stages. Complementary region-of-interest and voxel-based analyses were used to assess disease stage- and modality-specific changes within seven principle ICNs of the human brain as defined by a standardized functional connectivity atlas. Amyloid deposition in AD dementia showed a preference for the DMN, but high effect sizes were also observed for other neocortical ICNs, most notably the frontoparietal-control network. Atrophic changes were most specific for an anterior limbic network, followed by the DMN, whereas other neocortical networks were relatively spared. Hypometabolism appeared to be a mixture of both amyloid- and atrophy-related profiles. Similar patterns of modality-dependent network specificity were also observed in the predementia and, for amyloid deposition, in the preclinical stage. These quantitative data confirm a high vulnerability of the DMN for multimodal imaging abnormalities in AD. However, rather than being selective for the DMN, imaging abnormalities more generally affect higher order cognitive networks and, importantly, the vulnerability profiles of these networks markedly differ for distinct aspects of AD pathology.
近期对阿尔茨海默病(AD)的神经影像学研究强调了AD相关脑区变化与一个名为默认模式网络(DMN)的重要皮质关联网络之间的地形相似性。然而,与边缘和异模态联合皮质的其他内在连接网络(ICN)相比,DMN独特成像异常的特异性尚未得到系统研究。我们在来自阿尔茨海默病神经影像学倡议组织的473名参与者中,使用AV45-PET评估区域淀粉样蛋白负荷,使用FDG-PET评估神经元代谢,并使用结构MRI评估灰质体积,这些参与者包括临床前期、痴呆前期和临床显性AD阶段。采用互补的感兴趣区域分析和基于体素的分析,以评估由标准化功能连接图谱定义的人类大脑七个主要ICN内疾病阶段和模态特异性变化。AD痴呆中的淀粉样蛋白沉积表现出对DMN的偏好,但在其他新皮质ICN中也观察到高效应量,最显著的是额顶叶控制网络。萎缩性变化对前边缘网络最为特异,其次是DMN,而其他新皮质网络相对未受影响。代谢减退似乎是淀粉样蛋白和萎缩相关特征的混合。在痴呆前期以及临床前期阶段的淀粉样蛋白沉积中也观察到了类似的模态依赖性网络特异性模式。这些定量数据证实了DMN在AD中对多模态成像异常具有高度易损性。然而,成像异常并非对DMN具有选择性,而是更普遍地影响高阶认知网络,重要的是,这些网络的易损性特征在AD病理学的不同方面明显不同。