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Comparison of gray matter volume and thickness for analysis ofcortical changes in Alzheimer's disease

机译:灰质体积和厚度对阿尔茨海默病的分析厚度

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Gray matter volume and cortical thickness are two indices of concern in brain structure magnetic resonance imaging research. Gray matter volume reflects mixed-measurement information of cerebral cortex, while cortical thickness reflects only the information of distance between inner surface and outer surface of cerebral cortex. Using Scaled Subprofile Modeling based on Principal Component Analysis (SSM_PCA) and Pearson's Correlation Analysis, this study further provided quantitative comparisons and depicted both global relevance and local relevance to comprehensively investigate morphometrical abnormalities in cerebral cortex in Alzheimer's disease (AD). Thirteen patients with AD and thirteen age- and gender-matched healthy controls were included in this study. Results showed that factor scores from the first 8 principal components accounted for –53.38% of the total variance for gray matter volume, and –50.18% for cortical thickness. Factor scores from the fifth principal component showed significant correlation. In addition, gray matter voxel-based volume was closely related to cortical thickness alterations in most cortical cortex, especially, in some typical abnormal brain regions such as insula and the parahippocampal gyms in AD. These findings suggest that these two measurements are effective indices for understanding the neuropathology in AD. Studies using both gray matter volume and cortical thickness can separate the causes of the discrepancy, provide complementary information and carry out a comprehensive description of the morphological changes of brain structure.
机译:灰质体积和皮质厚度是脑结构磁共振成像研究中有两个关注的指标。灰质体积反映了脑皮层的混合测量信息,而皮质厚度仅反射了大脑皮层内表面和外表面之间的距离信息。基于主成分分析(SSM_PCA)和Pearson的相关性分析,使用缩放的子实质建模,本研究进一步提供了定量比较,并描绘了全球相关性和局部相关性,以全面研究阿尔茨海默病(广告)中脑皮层中的形态学异常。本研究纳入了十三个患有AD和13岁的年龄和性别匹配的健康对照。结果表明,前8个主要成分的因子分数占灰质体积总方差的-53.38%,皮质厚度为-50.18%。第五个主成分的因子评分显示出显着的相关性。此外,基于灰质体素的体积与大多数皮质皮质中的皮质厚度改变密切相关,特别是在一些典型的异常脑区域,例如AD中的insula和Parahippocampal健身房。这些发现表明,这两项测量是理解广告中神经病理学的有效指标。使用灰质体积和皮质厚度的研究可以分离差异的原因,提供互补信息,并进行脑结构形态变化的综合描述。

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