Lehmann Manja, Madison Cindee, Ghosh Pia M, Miller Zachary A, Greicius Michael D, Kramer Joel H, Coppola Giovanni, Miller Bruce L, Jagust William J, Gorno-Tempini Maria L, Seeley William W, Rabinovici Gil D
Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA; Dementia Research Centre, Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK.
Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA.
Neurobiol Aging. 2015 Oct;36(10):2678-86. doi: 10.1016/j.neurobiolaging.2015.06.029. Epub 2015 Jul 16.
The common and specific involvement of brain networks in clinical variants of Alzheimer's disease (AD) is not well understood. We performed task-free ("resting-state") functional imaging in 60 nonfamilial AD patients, including 20 early-onset AD (age at onset <65 years, amnestic/dysexecutive deficits), 24 logopenic aphasia (language deficits), and 16 posterior cortical atrophy patients (visual deficits), as well as 60 healthy controls. Seed-based connectivity analyses were conducted to assess differences between groups in 3 default mode network (DMN) components (anterior, posterior, and ventral) and 4 additional non-DMN networks: left and right executive-control, language, and higher visual networks. Significant decreases in connectivity were found across AD variants compared with controls in the non-DMN networks. Within the DMN components, patients showed higher connectivity in the anterior DMN, in particular in logopenic aphasia. No significant differences were found for the posterior and ventral DMN. Our findings suggest that loss of functional connectivity is greatest in networks outside the DMN in early-onset and nonamnestic AD variants and may thus be a better biomarker in these patients.
大脑网络在阿尔茨海默病(AD)临床变体中的共同和特定参与情况尚未得到充分理解。我们对60名非家族性AD患者进行了静息态功能成像,其中包括20名早发性AD患者(发病年龄<65岁,存在遗忘/执行功能障碍)、24名进行性失语症患者(语言缺陷)和16名后皮质萎缩患者(视觉缺陷),以及60名健康对照者。基于种子点的连通性分析用于评估三组在3个默认模式网络(DMN)成分(前侧、后侧和腹侧)和4个额外的非DMN网络(左、右执行控制网络、语言网络和高级视觉网络)中的差异。与对照组相比,在非DMN网络中发现AD变体的连通性显著降低。在DMN成分中,患者在前侧DMN中表现出更高的连通性,尤其是在进行性失语症患者中。后侧和腹侧DMN未发现显著差异。我们的研究结果表明,在早发性和非遗忘性AD变体中,DMN以外的网络中功能连通性的丧失最为严重,因此可能是这些患者更好的生物标志物。