Thompson P M, Mega M S, Woods R P, Zoumalan C I, Lindshield C J, Blanton R E, Moussai J, Holmes C J, Cummings J L, Toga A W
Laboratory of Neuro Imaging, Department of Neurology, Division of Brain Mapping and Alzheimer's Disease Center, UCLA School of Medicine, Los Angeles, CA 90095-1769, USA.
Cereb Cortex. 2001 Jan;11(1):1-16. doi: 10.1093/cercor/11.1.1.
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.
我们报告了阿尔茨海默病(AD)中基于人群的首张详细皮质灰质丢失图谱,揭示了早期结构变化的显著特征。采用了新的计算方法来:(i)区分灰质分布变化与脑回模式变化;(ii)在脑图谱(n = 46)中编码这些变化;(iii)创建详细图谱以定位不同组之间的灰质差异。从26名轻度至中度AD患者(年龄75.8±1.7岁,简易精神状态检查表(MMSE)评分20.0±0.9)和20名年龄、性别、利手和教育水平相匹配的正常老年对照(72.4±1.3岁)获取了高分辨率3D磁共振成像(MRI)容积数据。图像数据被配准到专门为老年人群开发的标准化坐标空间中。为所有46名受试者创建了基于参数化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、所有主要的浅部和深部皮质沟、胼胝体和海马表面、14个脑室区域以及36个脑回边界。然后采用由解剖特征驱动的弹性配准方法来测量脑回模式变化。在所有46名受试者的皮质相应区域测量灰质分布。随后在整个皮质局部编码皮质模式、不对称性、灰质分布和平均灰质丢失的统计变化。生成了组间差异图谱。平均图谱揭示了疾病中灰质丢失的复杂情况。最大缺损(丢失20 - 30%,P<0.001 - 0.0001)出现在颞顶叶皮质。感觉运动皮质和枕叶皮质相对未受影响(丢失0 - 5%,P>0.05)。灰质丢失在左半球更严重,在异模态和同型皮质中有不同模式。脑回模式变异性在不同胚胎期出现的皮质区域也有所不同。3D图谱揭示的结构缺损情况与早期AD的认知、代谢和组织学变化一致。因此,这些缺损可以(i)在活体人群中绘制出来,(ii)在个体和组之间进行比较,有助于痴呆症的纵向、遗传学和干预性研究。