Moeller J R, Strother S C, Sidtis J J, Rottenberg D A
Department of Neurology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021.
J Cereb Blood Flow Metab. 1987 Oct;7(5):649-58. doi: 10.1038/jcbfm.1987.118.
The data obtained from measurements of regional rCMRglu using [18F]fluorodeoxyglucose (FDG)/positron emission tomographic (PET) data contain more structure than can be identified with group mean rCMRglu profiles or regional correlation coefficients. This additional structure is revealed by a novel mathematical-statistical model of regional metabolic interactions that explicitly represents rCMRglu profiles as a combination of region-independent global effects, a group mean pattern and a mosaic of interacting networks. In its application to FDG/PET data, this model removes global subject effects [global scaling factors (GSFs)] and a group mean pattern (profile) so as to maximize statistical power for the detection and simultaneous discovery of all networks of two or more regions that form a significant and consistent linearly covarying pattern. The model approach presented here was applied to the combined rCMRglu data from 12 demented AIDS patients and 18 normal controls: Two significant metabolic covariance pattern descriptors that together accounted for 71 to 96% of the rCMRglu/GSF variation across subjects for 22/28 regions in the AIDS group were extracted. Each descriptor was found to be highly correlated with performance on several neuropsychological tests, providing independent validation of the analysis technique as a means of discovering and describing behaviorally related components of group rCMRglu profiles.
使用[18F]氟脱氧葡萄糖（FDG）/正电子发射断层扫描（PET）数据测量局部rCMRglu所获得的数据包含的结构，比通过组平均rCMRglu剖面图或局部相关系数所能识别的结构更多。一种新颖的局部代谢相互作用数学统计模型揭示了这种额外的结构，该模型将rCMRglu剖面图明确表示为与区域无关的全局效应、组平均模式和相互作用网络镶嵌图的组合。在将其应用于FDG/PET数据时，该模型消除了全局个体效应[全局缩放因子（GSF）]和组平均模式（剖面图），以便最大限度地提高检测和同时发现两个或更多区域形成显著且一致的线性协变模式的所有网络的统计功效。这里提出的模型方法应用于12名患有痴呆症的艾滋病患者和18名正常对照的联合rCMRglu数据：提取了两个显著的代谢协方差模式描述符，它们共同解释了艾滋病组中22/28个区域跨个体的rCMRglu/GSF变化的71%至96%。发现每个描述符与多项神经心理学测试的表现高度相关，为该分析技术作为发现和描述组rCMRglu剖面图中行为相关成分的一种手段提供了独立验证。
