A NOVEL EIGENVECTOR-BASED METHOD TO DETECT MILD ALZHEIMER’S DISEASE USING EVENT-RELAT

IF 8.5 3区医学 Q1 CLINICAL NEUROLOGY

Jpad-Journal of Prevention of Alzheimers Disease Pub Date : 2015-01-01 DOI:10.14283/jpad.2015.79

B. Brown, S. Hendrix, M. Cecchi, J. Scott, J. Silcox, K. Brighton, D. Hedges

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Abstract

Event-related potentials (ERPs) are a physiological measure of cognitive function that have shown diagnostic and prognostic utility in Alzheimer’s disease (AD). In this study, we used a novel eigenvector-based technique to better understand brain electrophysiological differences between subjects with mild AD and healthy controls (HC). Using ERPs from 75 subjects with mild AD and 95 HC, we first calculated cognitive task eigenvectors within each subject from three conditions and then calculated second-order eigenvector components to compare the AD group to the HC group. A MANOVA of the three second-level components discriminated between AD and HC multivariately (Wilks’ lambda=.4297, p<0.0001, R2 = .5703), and also on each of the three components univariately (all 3 p-values<0.0001). The eigenvector-based technique used in this study accurately discriminated between the mild AD group and HC. As such, this analysis method adds to our understanding of the differences in ERP signal between AD and HC, and could provide a sensitive biomarker for diagnosis and monitoring of AD progression.

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基于事件相关特征向量的轻度阿尔茨海默病检测新方法

事件相关电位(ERPs)是认知功能的一种生理测量，在阿尔茨海默病(AD)中显示出诊断和预后的效用。在这项研究中，我们使用了一种新的基于特征向量的技术来更好地了解轻度AD受试者和健康对照组(HC)之间的脑电生理差异。利用75名轻度AD和95名HC被试的erp数据，我们首先从三种情况下计算每个被试的认知任务特征向量，然后计算二阶特征向量分量来比较AD组和HC组。三个二级成分的方差分析区分了AD和HC的多变量(Wilks’lambda=)。4297, p<0.0001, R2 = .5703)，并且三个组成部分中的每一个都是单一的(所有3个p值<0.0001)。本研究中使用的基于特征向量的技术可以准确地区分轻度AD组和HC。因此，该分析方法增加了我们对AD和HC之间ERP信号差异的理解，并可为AD的诊断和监测进展提供敏感的生物标志物。

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来源期刊

Jpad-Journal of Prevention of Alzheimers Disease CLINICAL NEUROLOGY-

自引率

7.80%

发文量

期刊介绍： The JPAD « Journal of Prevention of Alzheimer’Disease » will publish reviews, original research articles and short reports to improve our knowledge in the field of Alzheimer prevention including : neurosciences, biomarkers, imaging, epidemiology, public health, physical cognitive exercise, nutrition, risk and protective factors, drug development, trials design, and heath economic outcomes. JPAD will publish also the meeting abstracts from Clinical Trial on Alzheimer Disease (CTAD) and will be distributed both in paper and online version worldwide.

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