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Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.

机译:通过基于特定疾病的人群脑图谱可检测到阿尔茨海默氏病的皮层变化。

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We report the first detailed population-based maps of cortical gray matter loss in Alzheimer's disease (AD), revealing prominent features of early structural change. New computational approaches were used to: (i) distinguish variations in gray matter distribution from variations in gyral patterns; (ii) encode these variations in a brain atlas (n = 46); (iii) create detailed maps localizing gray matter differences across groups. High resolution 3D magnetic resonance imaging (MRI) volumes were acquired from 26 subjects with mild to moderate AD (age 75.8+/-1.7 years, MMSE score 20.0+/-0.9) and 20 normal elderly controls (72.4+/-1.3 years) matched for age, sex, handedness and educational level. Image data were aligned into a standardized coordinate space specifically developed for an elderly population. Eighty-four anatomical models per brain, based on parametric surface meshes, were created for all 46 subjects. Structures modeled included: cortical surfaces, all major superficial and deep cortical sulci, callosal and hippocampal surfaces, 14 ventricular regions and 36 gyral boundaries. An elastic warping approach, driven by anatomical features, was then used to measure gyral pattern variations. Measures of gray matter distribution were made in corresponding regions of cortex across all 46 subjects. Statistical variations in cortical patterning, asymmetry, gray matter distribution and average gray matter loss were then encoded locally across the cortex. Maps of group differences were generated. Average maps revealed complex profiles of gray matter loss in disease. Greatest deficits (20-30% loss, P<0.001-0.0001) were mapped in the temporo-parietal cortices. The sensorimotor and occipital cortices were comparatively spared (0-5% loss, P>0.05). Gray matter loss was greater in the left hemisphere, with different patterns in the heteromodal and idiotypic cortex. Gyral pattern variability also differed in cortical regions appearing at different embryonic phases. 3D mapping revealed profiles of structural deficits consistent with the cognitive, metabolic and histological changes in early AD. These deficits can therefore be (i) charted in a living population and (ii) compared across individuals and groups, facilitating longitudinal, genetic and interventional studies of dementia.
机译:我们报告阿尔茨海默氏病(AD)的第一个详细的基于人口的皮质灰质损失图,揭示了早期结构变化的突出特征。新的计算方法用于:(i)区分灰质分布的变化和回旋模式的变化; (ii)将这些变异编码在大脑图谱中(n = 46); (iii)创建详细的地图,以定位不同群体之间的灰质差异。从26位轻度至中度AD(年龄75.8 +/- 1.7岁,MMSE评分20.0 +/- 0.9岁)和20位正常老年人(72.4 +/- 1.3岁)的受试者中获得高分辨率3D磁共振成像(MRI)量适合年龄,性别,惯用性和教育程度。将图像数据对齐到专门为老年人口开发的标准化坐标空间中。为所有46位受试者创建了基于参数表面网格的每个大脑84个解剖模型。建模的结构包括:皮质表面,所有主要浅表和深层皮质沟,ul和海马表面,14个心室区域和36个回旋边界。然后使用由解剖特征驱动的弹性变形方法来测量回旋模式的变化。在所有46位受试者的皮质相应区域进行了灰质分布的测量。然后在整个皮质中局部编码皮质图案,不对称性,灰质分布和平均灰质损失的统计变化。产生了群体差异图。平均图显示了疾病中灰质损失的复杂情况。最大的赤字(损失20-30%,P <0.001-0.0001)位于颞顶叶皮层。感觉运动和枕叶皮质相对比较省(0-5%丢失,P> 0.05)。左半球灰质损失更大,异质和特异型皮层有不同的模式。在不同胚胎期出现的皮层区域中,陀螺模式的变异性也有所不同。 3D映射显示结构缺陷的概况,与AD早期的认知,代谢和组织学变化一致。因此,这些缺陷可以(i)绘制在生活人口中,以及(ii)在个人和群体之间进行比较,以促进对痴呆症的纵向,遗传和干预研究。

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