Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Brain. 2012 Mar;135(Pt 3):794-806. doi: 10.1093/brain/aws001.
A major recent discovery was the identification of an expansion of a non-coding GGGGCC hexanucleotide repeat in the C9ORF72 gene in patients with frontotemporal dementia and amyotrophic lateral sclerosis. Mutations in two other genes are known to account for familial frontotemporal dementia: microtubule-associated protein tau and progranulin. Although imaging features have been previously reported in subjects with mutations in tau and progranulin, no imaging features have been published in C9ORF72. Furthermore, it remains unknown whether there are differences in atrophy patterns across these mutations, and whether regional differences could help differentiate C9ORF72 from the other two mutations at the single-subject level. We aimed to determine the regional pattern of brain atrophy associated with the C9ORF72 gene mutation, and to determine which regions best differentiate C9ORF72 from subjects with mutations in tau and progranulin, and from sporadic frontotemporal dementia. A total of 76 subjects, including 56 with a clinical diagnosis of behavioural variant frontotemporal dementia and a mutation in one of these genes (19 with C9ORF72 mutations, 25 with tau mutations and 12 with progranulin mutations) and 20 sporadic subjects with behavioural variant frontotemporal dementia (including 50% with amyotrophic lateral sclerosis), with magnetic resonance imaging were included in this study. Voxel-based morphometry was used to assess and compare patterns of grey matter atrophy. Atlas-based parcellation was performed utilizing the automated anatomical labelling atlas and Statistical Parametric Mapping software to compute volumes of 37 regions of interest. Hemispheric asymmetry was calculated. Penalized multinomial logistic regression was utilized to create a prediction model to discriminate among groups using regional volumes and asymmetry score. Principal component analysis assessed for variance within groups. C9ORF72 was associated with symmetric atrophy predominantly involving dorsolateral, medial and orbitofrontal lobes, with additional loss in anterior temporal lobes, parietal lobes, occipital lobes and cerebellum. In contrast, striking anteromedial temporal atrophy was associated with tau mutations and temporoparietal atrophy was associated with progranulin mutations. The sporadic group was associated with frontal and anterior temporal atrophy. A conservative penalized multinomial logistic regression model identified 14 variables that could accurately classify subjects, including frontal, temporal, parietal, occipital and cerebellum volume. The principal component analysis revealed similar degrees of heterogeneity within all disease groups. Patterns of atrophy therefore differed across subjects with C9ORF72, tau and progranulin mutations and sporadic frontotemporal dementia. Our analysis suggested that imaging has the potential to be useful to help differentiate C9ORF72 from these other groups at the single-subject level.
一个最近的重要发现是,在额颞叶痴呆和肌萎缩性侧索硬化症患者中,鉴定出 C9ORF72 基因中无编码 GGGGCC 六核苷酸重复序列的扩张。已知另外两个基因突变可导致家族性额颞叶痴呆:微管相关蛋白 tau 和颗粒蛋白前体。尽管先前已经报道了 tau 和颗粒蛋白前体突变患者的影像学特征,但尚未在 C9ORF72 中发表影像学特征。此外,尚不清楚这些突变之间的萎缩模式是否存在差异,以及区域差异是否有助于在个体水平上区分 C9ORF72 与其他两种突变。我们旨在确定与 C9ORF72 基因突变相关的脑萎缩的区域模式,并确定哪些区域最能区分 C9ORF72 与 tau 和颗粒蛋白前体突变的患者,以及散发性额颞叶痴呆患者。这项研究共纳入了 76 名受试者,包括 56 名临床诊断为行为变异型额颞叶痴呆且其中一个基因突变的患者(19 名 C9ORF72 突变,25 名 tau 突变,12 名颗粒蛋白前体突变)和 20 名散发性行为变异型额颞叶痴呆患者(包括 50%肌萎缩性侧索硬化症),所有受试者均进行了磁共振成像检查。使用基于体素的形态计量学评估和比较灰质萎缩模式。利用自动解剖学标记图谱和统计参数映射软件进行基于图谱的分割,计算 37 个感兴趣区域的体积。计算了半球不对称性。利用惩罚多项逻辑回归创建一个预测模型,使用区域体积和不对称评分来区分组。主成分分析评估组内的方差。C9ORF72 与主要涉及背外侧、内侧和眶额叶的对称萎缩有关,此外还伴有前颞叶、顶叶、枕叶和小脑的丧失。相比之下,tau 突变与明显的前内侧颞叶萎缩有关,progranulin 突变与颞顶叶萎缩有关。散发性组与额前颞叶萎缩有关。保守的惩罚多项逻辑回归模型确定了 14 个可以准确分类受试者的变量,包括额叶、颞叶、顶叶、枕叶和小脑的体积。主成分分析显示,所有疾病组内的异质性程度相似。因此,C9ORF72、tau 和颗粒蛋白前体突变以及散发性额颞叶痴呆患者的萎缩模式存在差异。我们的分析表明,影像学具有在个体水平上帮助区分 C9ORF72 与这些其他组别的潜力。