Qiu Anqi, Fennema-Notestine Christine, Dale Anders M, Miller Michael I
Division of Bioengineering, National University of Singapore, Singapore.
Neuroimage. 2009 Apr 15;45(3):656-61. doi: 10.1016/j.neuroimage.2009.01.013.
Magnetic resonance (MR) based shape analysis provides an opportunity to detect regional specificity of volumetric changes that may distinguish mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy elderly controls (CON), and predict future conversion to AD. We assessed the surface deformation of seven structures (amygdala, hippocampus, thalamus, caudate, putamen, globus pallidus, body and temporal horn of the lateral ventricles) in 383 MRI volumes, based on data shared through the publicly available Alzheimer's Disease Neuroimaging Initiative (ADNI), to identify regionally-specific shape abnormalities in MCI and AD. Large deformation diffeomorphic metric mapping (LDDMM) was used to generate the shapes of seven structures based on template shapes injected into segmented subcortical volumes. LDDMM then constructed the surface deformation maps encoding the local shape variation of each subject relative to the template. Hierarchical models were developed to detect differences in local shape in MCI and AD relative to CON. Our findings revealed that surface inward-deformation in MCI and AD is most prominent in the anterior hippocampal segment and the basolateral complex of the amygdala. Most pronounced surface outward-deformation in MCI and AD occurs in the lateral ventricles. Mild surface inward-deformation in MCI and AD occurs in the anterior-lateral and ventral-lateral aspects of the thalamus, with no evidence of regionally-specific deformation in the putamen or globus pallidus. Although the locations of the shape abnormalities in MCI and AD are primarily within the mesial temporal region, analyses support distinct components of correlated shape variation that may help predict future MCI conversion.
基于磁共振（MR）的形状分析提供了一个机会，可检测体积变化的区域特异性，这些变化可能将轻度认知障碍（MCI）和阿尔茨海默病（AD）与健康老年对照（CON）区分开来，并预测未来向AD的转化。我们基于通过公开可用的阿尔茨海默病神经影像倡议（ADNI）共享的数据，评估了383个MRI体积中七个结构（杏仁核、海马体、丘脑、尾状核、壳核、苍白球、侧脑室体部和颞角）的表面变形，以识别MCI和AD中区域特异性的形状异常。使用大变形微分同胚度量映射（LDDMM）基于注入到分割的皮质下体积中的模板形状生成七个结构的形状。然后，LDDMM构建表面变形图，编码每个受试者相对于模板的局部形状变化。开发分层模型以检测MCI和AD相对于CON的局部形状差异。我们的研究结果表明，MCI和AD中的表面向内变形在海马体前段和杏仁核基底外侧复合体中最为突出。MCI和AD中最明显的表面向外变形发生在侧脑室。MCI和AD中轻度的表面向内变形发生在丘脑的前外侧和腹外侧，壳核或苍白球没有区域特异性变形的证据。尽管MCI和AD中形状异常的位置主要在颞叶内侧区域，但分析支持相关形状变化的不同成分，这可能有助于预测未来MCI的转化。
