Chapman Robert M, Nowlis Geoffrey H, McCrary John W, Chapman John A, Sandoval Tiffany C, Guillily Maria D, Gardner Margaret N, Reilly Lindsey A
Department of Brain and Cognitive Sciences and Center for Visual Science, University of Rochester, Rochester, NY 14627, USA.
Neurobiol Aging. 2007 Feb;28(2):194-201. doi: 10.1016/j.neurobiolaging.2005.12.008. Epub 2006 Jan 20.
A pattern of components from brain event-related potentials (ERPs) (cognitive non-invasive electrical brain measures) performed well in separating early-stage Alzheimer's disease (AD) subjects from normal-aging control subjects and shows promise for developing a clinical diagnostic for probable AD. A Number-Letter task elicited brain activity related to cognitive processes. In response to the task stimuli, brain activity was recorded as ERPs, whose components were measured by principal components analysis (PCA). The ERP component scores to relevant and irrelevant stimuli were used in discriminant analyses to develop functions that successfully classified individuals as belonging to an early-stage Alzheimer's disease group or a like-aged Control group, with probabilities of an individual belonging to each group. Applying the discriminant function to the developmental half of the data showed 92% of the subjects were correctly classified into either the AD group or the Control group with a sensitivity of 1.00. The two crossvalidation results were good with sensitivities of 0.83 and classification accuracies of 0.75-0.79. P3 and CNV components, as well as other, earlier ERP components, e.g. C145 and the memory "Storage" component, were useful in the discriminant functions.
来自脑事件相关电位（ERP，一种认知非侵入性脑电测量方法）的一组成分，在区分早期阿尔茨海默病（AD）患者与正常衰老对照者方面表现良好，显示出有望开发一种针对可能的AD的临床诊断方法。数字-字母任务引发了与认知过程相关的脑活动。针对任务刺激，脑活动被记录为ERP，其成分通过主成分分析（PCA）进行测量。将与相关和不相关刺激的ERP成分得分用于判别分析，以开发出能够成功将个体分类为属于早期阿尔茨海默病组或同龄对照组的函数，并给出个体属于每组的概率。将判别函数应用于数据的开发部分，结果显示92%的受试者被正确分类到AD组或对照组，敏感性为1.00。两次交叉验证结果良好，敏感性分别为0.83，分类准确率为0.75 - 0.79。P3和CNV成分，以及其他更早的ERP成分，如C145和记忆“存储”成分，在判别函数中很有用。
