Novel ROC-Type method for testing the efficiency of multivariate statistical methods in fMRI
Novel ROC-Type method for testing the efficiency of multivariate statistical methods in fMRI
复制标题
DOI：
10.1002/mrm.10469
复制
发表时间：
2003-06-01
影响因子：
3.3
通讯作者：
Cordes, D
中科院分区：
文献类型：
--
作者：
Nandy, RR;Cordes, D
接收器操作特征(ROC)方法是测试适用于功能磁共振(FMRI)数据的各种诊断测试的效率的有用和流行的工具。通常，诊断测试应用于模拟和伪人fMRI数据，ROC曲线下的面积被用作诊断测试效率的衡量标准。这种方法的有效性取决于模拟数据与真实数据的逼近程度。然而，对于多变量统计方法，这种技术通常是不够的，因为对于模拟数据，忽略了体素之间的空间相关性。在这项工作中，提出了一种改进的ROC方法，该方法使用了更广泛的真实fMRI数据。该方法可应用于大多数fMRI后处理技术，包括典型相关分析(CCA)等多变量分析。并详细讨论了改进的ROC方法与传统ROC方法之间的关系。(C)2003年Wiley-Liss，Inc.
The receiver operating characteristic (ROC) method is a useful and popular tool for testing the efficiency of various diagnostic tests applicable to functional MRI (fMRI) data. Typically, the diagnostic tests are applied on simulated and pseudo-human fMRI data, and the area under the ROC curve is used as a measure of the efficiency of the diagnostic test. The effectiveness of such a method depends on how well the simulated data approximate the real data. For multivariate statistical methods, however, this technique is usually inadequate, as the spatial dependence among voxels is ignored for simulated data. In this work a modified ROC method using real fMRI data with a broader scope is proposed. This method can be applied to most fMRI postprocessing techniques, including multivariate analyses such as canonical correlation analysis (CCA). Also, the relationship of the modified ROC method with the conventional ROC method is discussed in detail. (C) 2003 Wiley-Liss, Inc.