摘要
背景:阿尔茨海默氏病(AD)的早期发现及其早期阶段,轻度认知障碍(MCI)具有重要的科学,临床和社会意义。基于磁共振成像(MRI)的统计形状分析为检测由AD和MCI引起的大脑结构的区域结构异常提供了机会。目的:在这项工作中,我们旨在在大型变形微形度量图的框架下,采用完善的统计形状分析管道,以识别和量化AD前驱期不同时期的双侧海马和杏仁核的区域形状异常,使用从不同国内医院收集的三个中国MRI数据集。 方法:我们通过比较健康对照者和两个疾病组(MCI和AD)之间双侧海马和杏仁核的局部形状特征,分析了AD神经病理学不同阶段的区域形状异常。除了组比较分析外,我们还研究了疾病组(MCI和AD组合)中每个感兴趣结构的形状特征与迷你心理状态检查(MMSE)之间的关联以及不同形态生物标志物的判别力。 结果:我们在海马的下丘脑和CA1亚区域以及杏仁核的基底外侧,基底体以及中央向亚区域发现了最强的疾病病理(区域萎缩)。此外,发现表现出最强的AD相关性萎缩的海马和杏仁核亚区的形状特征与MMSE具有最显着的正相关性。使用海马体或杏仁体的形状变形标记物进行自动MCI或AD检测,与相应的体积测量相比,可显着提高准确度。 结论:我们的研究结果表明杏仁核和海马体形态学,尤其是形状形态学,可以用作监测AD患者疾病状态的辅助指标。
关键词: 阿尔茨海默氏病,轻度认知障碍,形状分析,MMSE,大形变微形度量映射,多个数据集。
Current Alzheimer Research
Title:Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer’s Disease Based on Three Chinese MRI Datasets
Volume: 17 Issue: 13
关键词: 阿尔茨海默氏病,轻度认知障碍,形状分析,MMSE,大形变微形度量映射,多个数据集。
摘要:
Background: Early detection of Alzheimer’s disease (AD) and its early stage, the mild cognitive impairment (MCI), has important scientific, clinical and social significance. Magnetic resonance imaging (MRI) based statistical shape analysis provides an opportunity to detect regional structural abnormalities of brain structures caused by AD and MCI.
Objective: In this work, we aimed to employ a well-established statistical shape analysis pipeline, in the framework of large deformation diffeomorphic metric mapping, to identify and quantify the regional shape abnormalities of the bilateral hippocampus and amygdala at different prodromal stages of AD, using three Chinese MRI datasets collected from different domestic hospitals.
Methods: We analyzed the region-specific shape abnormalities at different stages of the neuropathology of AD by comparing the localized shape characteristics of the bilateral hippocampi and amygdalas between healthy controls and two disease groups (MCI and AD). In addition to group comparison analyses, we also investigated the association between the shape characteristics and the Mini Mental State Examination (MMSE) of each structure of interest in the disease group (MCI and AD combined) as well as the discriminative power of different morphometric biomarkers.
Results: We found the strongest disease pathology (regional atrophy) at the subiculum and CA1 subregions of the hippocampus and the basolateral, basomedial as well as centromedial subregions of the amygdala. Furthermore, the shape characteristics of the hippocampal and amygdalar subregions exhibiting the strongest AD related atrophy were found to have the most significant positive associations with the MMSE. Employing the shape deformation marker of the hippocampus or the amygdala for automated MCI or AD detection yielded a significant accuracy boost over the corresponding volume measurement.
Conclusion: Our results suggested that the amygdalar and hippocampal morphometrics, especially those of shape morphometrics, can be used as auxiliary indicators for monitoring the disease status of an AD patient.
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Cite this article as:
Hippocampal and Amygdalar Morphological Abnormalities in Alzheimer’s Disease Based on Three Chinese MRI Datasets, Current Alzheimer Research 2020; 17 (13) . https://dx.doi.org/10.2174/1567205018666210218150223
DOI https://dx.doi.org/10.2174/1567205018666210218150223 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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