ROC分析及其在fMRI信号中的一个应用

ROC Analysis and one of Its Applicatiions to fMRI Data

详细阐述了受试者工作特征(Receiver operating characteristic,ROC)分析的基本原理,分析了它与其它的诊断评价性标准相比存在的优点,并给出了ROC曲线的绘制方法,最后采用ROC对独立成分分析(Independent component analysis,ICA)和统计参数图(Statistical parametric mapping,SPM)处理功能磁共振成像(Functional magnetic reasonance imaging,fMRI)数据的结果进行了比较。

The purpose of this study is to show the basic principle of receiver operating characteristic （ROC）. Some advantages of ROC were given. A simple ROC curve was made to explain the method of plotting. An example of ROC applied to fMRI data was displayed, which showed that ROC can be effectively used in fMRI data.