Azari N P, Pettigrew K D, Pietrini P, Horwitz B, Schapiro M B
Laboratory of Neurosciences/NIA/NIH, Bethesda, Md 20892.
Dementia. 1994 Mar-Apr;5(2):69-78. doi: 10.1159/000106700.
Correlational analysis of cerebral metabolic (rCMRglc) data obtained with positron emission tomography (PET) assesses group differences and has demonstrated reduced frontal-parietal rCMRglc interdependencies in Alzheimer's disease (AD). A multivariate analysis of rCMRglc data assesses individual differences. We recently identified discriminant functions, reflecting frontal-parietal rCMRglc interdependencies, that separated AD from control subjects. To test if the functions would identify an AD rCMRglc pattern in older Down syndrome (DS) adults with (DS DAT+) or without (DS DAT-) dementia, we applied the functions to longitudinal rCMRglc data in: young DS (n = 15), DS DAT- (n = 10), DS DAT+ (n = 4), and young controls (n = 15). All DS DAT+ and some of the later DS DAT- scans were classified as AD. The results provide additional validation of the functions and suggest their utility for the early detection of AD.
通过正电子发射断层扫描（PET）获得的脑代谢（rCMRglc）数据的相关性分析评估了组间差异，并已证明阿尔茨海默病（AD）患者额顶叶rCMRglc的相互依赖性降低。rCMRglc数据的多变量分析评估个体差异。我们最近确定了反映额顶叶rCMRglc相互依赖性的判别函数，这些函数可将AD患者与对照受试者区分开来。为了测试这些函数是否能识别患有（DS DAT+）或未患有（DS DAT-）痴呆症的老年唐氏综合征（DS）成年人的AD rCMRglc模式，我们将这些函数应用于以下纵向rCMRglc数据：年轻DS患者（n = 15）、DS DAT-患者（n = 10）、DS DAT+患者（n = 4）和年轻对照者（n = 15）。所有DS DAT+患者以及一些后期的DS DAT-扫描结果均被归类为AD。结果为这些函数提供了额外的验证，并表明它们在AD早期检测中的实用性。
