UCSF Memory and Ageing Centre, Department of Neurology, Box 1207, San Francisco, CA 94158-1207, USA.
Brain. 2013 Mar;136(Pt 3):844-58. doi: 10.1093/brain/aws327. Epub 2013 Jan 28.
The factors driving clinical heterogeneity in Alzheimer's disease are not well understood. This study assessed the relationship between amyloid deposition, glucose metabolism and clinical phenotype in Alzheimer's disease, and investigated how these relate to the involvement of functional networks. The study included 17 patients with early-onset Alzheimer's disease (age at onset <65 years), 12 patients with logopenic variant primary progressive aphasia and 13 patients with posterior cortical atrophy [whole Alzheimer's disease group: age = 61.5 years (standard deviation 6.5 years), 55% male]. Thirty healthy control subjects [age = 70.8 (3.3) years, 47% male] were also included. Subjects underwent positron emission tomography with (11)C-labelled Pittsburgh compound B and (18)F-labelled fluorodeoxyglucose. All patients met National Institute on Ageing-Alzheimer's Association criteria for probable Alzheimer's disease and showed evidence of amyloid deposition on (11)C-labelled Pittsburgh compound B positron emission tomography. We hypothesized that hypometabolism patterns would differ across variants, reflecting involvement of specific functional networks, whereas amyloid patterns would be diffuse and similar across variants. We tested these hypotheses using three complimentary approaches: (i) mass-univariate voxel-wise group comparison of (18)F-labelled fluorodeoxyglucose and (11)C-labelled Pittsburgh compound B; (ii) generation of covariance maps across all subjects with Alzheimer's disease from seed regions of interest specifically atrophied in each variant, and comparison of these maps to functional network templates; and (iii) extraction of (11)C-labelled Pittsburgh compound B and (18)F-labelled fluorodeoxyglucose values from functional network templates. Alzheimer's disease clinical groups showed syndrome-specific (18)F-labelled fluorodeoxyglucose patterns, with greater parieto-occipital involvement in posterior cortical atrophy, and asymmetric involvement of left temporoparietal regions in logopenic variant primary progressive aphasia. In contrast, all Alzheimer's disease variants showed diffuse patterns of (11)C-labelled Pittsburgh compound B binding, with posterior cortical atrophy additionally showing elevated uptake in occipital cortex compared with early-onset Alzheimer's disease. The seed region of interest covariance analysis revealed distinct (18)F-labelled fluorodeoxyglucose correlation patterns that greatly overlapped with the right executive-control network for the early-onset Alzheimer's disease region of interest, the left language network for the logopenic variant primary progressive aphasia region of interest, and the higher visual network for the posterior cortical atrophy region of interest. In contrast, (11)C-labelled Pittsburgh compound B covariance maps for each region of interest were diffuse. Finally, (18)F-labelled fluorodeoxyglucose was similarly reduced in all Alzheimer's disease variants in the dorsal and left ventral default mode network, whereas significant differences were found in the right ventral default mode, right executive-control (both lower in early-onset Alzheimer's disease and posterior cortical atrophy than logopenic variant primary progressive aphasia) and higher-order visual network (lower in posterior cortical atrophy than in early-onset Alzheimer's disease and logopenic variant primary progressive aphasia), with a trend towards lower (18)F-labelled fluorodeoxyglucose also found in the left language network in logopenic variant primary progressive aphasia. There were no differences in (11)C-labelled Pittsburgh compound B binding between syndromes in any of the networks. Our data suggest that Alzheimer's disease syndromes are associated with degeneration of specific functional networks, and that fibrillar amyloid-β deposition explains at most a small amount of the clinico-anatomic heterogeneity in Alzheimer's disease.
导致阿尔茨海默病临床异质性的因素尚不清楚。本研究评估了阿尔茨海默病患者中淀粉样蛋白沉积、葡萄糖代谢和临床表型之间的关系,并研究了这些关系如何与功能网络的参与有关。该研究包括 17 名早发性阿尔茨海默病患者(发病年龄<65 岁)、12 名语言障碍变异型原发性进行性失语症患者和 13 名后部皮质萎缩患者[整个阿尔茨海默病组:年龄=61.5 岁(标准差 6.5 岁),55%为男性]。还包括 30 名健康对照受试者[年龄=70.8(3.3)岁,47%为男性]。受试者接受了正电子发射断层扫描,使用(11)C 标记的匹兹堡化合物 B 和(18)F 标记的氟脱氧葡萄糖。所有患者均符合国家衰老协会-阿尔茨海默病协会的可能阿尔茨海默病标准,并在(11)C 标记的匹兹堡化合物 B 正电子发射断层扫描上显示出淀粉样蛋白沉积的证据。我们假设代谢模式在不同的变体之间会有所不同,反映出特定功能网络的参与,而淀粉样蛋白模式在不同的变体之间是弥散的和相似的。我们使用三种互补的方法来检验这些假设:(i)使用(18)F 标记的氟脱氧葡萄糖和(11)C 标记的匹兹堡化合物 B 的大规模单变量体素组比较;(ii)从每个变体特异性萎缩的感兴趣区生成所有阿尔茨海默病患者的协方差图,并将这些图与功能网络模板进行比较;(iii)从功能网络模板中提取(11)C 标记的匹兹堡化合物 B 和(18)F 标记的氟脱氧葡萄糖值。阿尔茨海默病临床组显示出综合征特异性的(18)F 标记的氟脱氧葡萄糖模式,后部皮质萎缩表现为更大的顶枕叶受累,语言障碍变异型原发性进行性失语症表现为左侧颞顶叶区域的不对称受累。相比之下,所有的阿尔茨海默病变异型都表现出弥散的(11)C 标记的匹兹堡化合物 B 结合模式,后部皮质萎缩与早发性阿尔茨海默病相比,还表现出枕叶皮质摄取增加。感兴趣区的种子区域协方差分析揭示了截然不同的(18)F 标记的氟脱氧葡萄糖相关模式,与早发性阿尔茨海默病感兴趣区的右侧执行控制网络、语言障碍变异型原发性进行性失语症感兴趣区的左侧语言网络以及后部皮质萎缩感兴趣区的更高视觉网络高度重叠。相比之下,每个感兴趣区的(11)C 标记的匹兹堡化合物 B 协方差图是弥散的。最后,所有阿尔茨海默病变异型在背侧和左侧腹侧默认模式网络中(18)F 标记的氟脱氧葡萄糖均有类似的减少,而右侧腹侧默认模式、右侧执行控制(早发性阿尔茨海默病和后部皮质萎缩均低于语言障碍变异型原发性进行性失语症)和高级视觉网络(后部皮质萎缩低于早发性阿尔茨海默病和语言障碍变异型原发性进行性失语症)存在显著差异,语言障碍变异型原发性进行性失语症的左侧语言网络也存在(18)F 标记的氟脱氧葡萄糖减少的趋势。在任何网络中,淀粉样蛋白沉积模式都没有在不同的综合征之间存在差异。我们的数据表明,阿尔茨海默病综合征与特定功能网络的退化有关,而纤维状β淀粉样蛋白沉积最多只能解释阿尔茨海默病临床异质性的一小部分。
Neuroimage Clin. 2014-3-19
J Neurol Neurosurg Psychiatry. 2013-8-21
Alzheimers Dement (Amst). 2025-8-26
Biophys Rep. 2024-8-31
Brain Behav. 2024-6
J Neuropathol Exp Neurol. 2012-5
Alzheimers Dement. 2012-2-23
Lancet Neurol. 2012-2