原发性进行性失语症变体中灰质结构的改变

Diliara R. Akhmadullina, Rodion N. Konovalov, Yulia A. Shpilyukova, Ekaterina Yu. Fedotova
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 Aims: The aim of our work was to evaluate the patterns of atrophy in each of the PPA variants in comparison with the control group.
 Materials and methods: Patients with a diagnosis of one of the PPA variants, established in accordance with the current diagnostic criteria, were included in the main group. The control group consisted of healthy volunteers without any neurological symptoms and structural brain changes according to MRI. All participants underwent brain MRI, obtained images were processed and used for VBM. VBM was performed with a comparison of gray matter volume between each of the PPA variants and the control group. The study was adjusted for gender, age, and intracranial volume of the participants.
 Results: 25 patients with nonfluent (nfvPPA), 11 - semantic (svPPA), and 9 - logopenic (lvPPA) PPA variants and 20 healthy volunteers were included in the study. The VBM showed that there is a specific atrophy pattern in each of the PPA variants with predominant involvement of the frontal and insular lobes in nfvPPA, the temporal lobe and hippocampus in svPPA, and a more diffuse frontotemporal pattern in lvPPA.
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引用次数: 0

摘要

背景:原发性进行性失语症(PPA)是一种罕见的神经退行性疾病,具有高度的临床、遗传和病理形态学异质性,使其诊断变得非常复杂。基于体素的形态测量(VBM)可以客观地评估结构灰质的变化,确定PPA变异的萎缩模式,可以提高疾病的诊断和我们对其发病机制的理解。 目的:我们的工作目的是评估与对照组相比,每种PPA变体的萎缩模式。 材料和方法:根据现行诊断标准,诊断为PPA变体之一的患者被纳入主要组。对照组由健康志愿者组成,没有任何神经系统症状和MRI显示的大脑结构变化。所有参与者都进行了脑部MRI,获得的图像被处理并用于VBM。通过比较PPA变体和对照组之间的灰质体积来进行VBM。该研究根据参与者的性别、年龄和颅内容积进行了调整。 结果:25例非流畅型(nfvPPA)、11例语义型(svPPA)和9例语义型(lvPPA) PPA变异患者和20名健康志愿者被纳入研究。VBM显示,每一种PPA变体都有特定的萎缩模式,nfvPPA主要累及额叶和岛叶,svPPA主要累及颞叶和海马,lvPPA主要累及额颞叶。结论:该研究揭示了每种PPA变体特有的灰质萎缩模式。所得结果主要符合本病的临床表现。同时,一些发现(如lvPPA未见后周萎缩,nfvPPA眼眶额叶皮层和小脑灰质体积减少,svPPA运动前皮层、中央前回和额下回,lvPPA运动皮层)与通常对PPA发病机制的认识不相关,需要进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural gray matter changes in primary progressive aphasia variants
Background: Primary progressive aphasia (PPA) is a rare neurodegenerative disease with high clinical, genetic and pathomorphological heterogeneity that greatly complicates its diagnosis. Voxel-based morphometry (VBM) can be used to objectively assess structural gray matter changes and determine atrophy patterns of PPA variants, which can improve the diagnosis of the disease and our understandings of its pathogenesis. Aims: The aim of our work was to evaluate the patterns of atrophy in each of the PPA variants in comparison with the control group. Materials and methods: Patients with a diagnosis of one of the PPA variants, established in accordance with the current diagnostic criteria, were included in the main group. The control group consisted of healthy volunteers without any neurological symptoms and structural brain changes according to MRI. All participants underwent brain MRI, obtained images were processed and used for VBM. VBM was performed with a comparison of gray matter volume between each of the PPA variants and the control group. The study was adjusted for gender, age, and intracranial volume of the participants. Results: 25 patients with nonfluent (nfvPPA), 11 - semantic (svPPA), and 9 - logopenic (lvPPA) PPA variants and 20 healthy volunteers were included in the study. The VBM showed that there is a specific atrophy pattern in each of the PPA variants with predominant involvement of the frontal and insular lobes in nfvPPA, the temporal lobe and hippocampus in svPPA, and a more diffuse frontotemporal pattern in lvPPA. Conclusions: The study revealed gray matter atrophy patterns specific to each of the PPA variants. Obtained results mainly correspond to the clinical presentations of the disease. At the same time, some findings (e.g. absence of the posterior perisylvian atrophy in lvPPA as well as reduced gray matter volume of the orbitofrontal cortex and cerebellum in nfvPPA, premotor cortex, precentral and inferior frontal gyrus in svPPA, and motor cortex in lvPPA) do not correlate with the usual understanding of PPA pathogenesis and require further study.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
44
审稿时长
5 weeks
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