Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
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DOI：
10.1016/j.neuroimage.2008.02.043
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发表时间：
2008-06-01
期刊：
影响因子：
5.7
通讯作者：
Davatzikos, Christos
中科院分区：
文献类型：
--
作者：
Fan, Yong;Resnick, Susan M.;Davatzikos, Christos
这项工作建立在以前的研究基础上，这些研究报告了通过MRI扫描的模式分类对轻度认知障碍（MCI）患者进行分类的高灵敏度和特异性，MCI通常是阿尔茨海默病（AD）的前驱期。目前的研究整合了来自巴尔的摩老龄化纵向研究的30名参与者的MRI和PET O-15水扫描，并测试了结构和功能的联合评估可以产生比单独更高的分类准确性的假设。通过留一法交叉验证实现了高达100%准确度的分类率，而通过装袋交叉验证评估的新扫描中泛化性能的保守估计产生了等于0.978（97.8%）的受试者工作特征（ROC）曲线下面积，表明诊断准确性极佳。空间地图的区域确定，以促进最多的分类牵连许多颞，前额，眶额，顶叶区域。在认知障碍的早期阶段检测大脑异常的复杂模式对于AD的检测和管理具有关键重要性。(c)2008年爱思唯尔公司All rights reserved.
This work builds upon previous studies that reported high sensitivity and specificity in classifying individuals with mild cognitive impairment (MCI), which is often a prodromal phase of Alzheimer's disease (AD), via pattern classification of MRI scans. The current study integrates MRI and PET O-15 water scans from 30 participants in the Baltimore Longitudinal Study of Aging, and tests the hypothesis that joint evaluation of structure and function can yield higher classification accuracy than either alone. Classification rates of up to 100% accuracy were achieved via leave-one-out cross-validation, whereas conservative estimates of generalization performance in new scans, evaluated via bagging cross-validation, yielded an area under the receiver operating characteristic (ROC) curve equal to 0.978 (97.8%), indicating excellent diagnostic accuracy. Spatial maps of regions determined to contribute the most to the classification implicated many temporal, prefrontal, orbitofrontal, and parietal regions. Detecting complex patterns of brain abnormality in early stages of cognitive impairment has pivotal importance for the detection and management of AD. (c) 2008 Elsevier Inc. All rights reserved.