## Abstract 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 pseudoβhuman fMRI data, and the area under the RO
ROC methods for evaluation of fMRI techniques
β Scribed by James A. Sorenson; X. Wang
- Book ID
- 102954956
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 832 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Receiver operating characteristic (ROC) methods provide a standardized and statistically meaningful means for comparing signalβdetection accuracy. A brief overview of ROC methods is presented. Example applications include a comparison of four different postprocessing algorithms operating on simulated fMRI timeβcourse data sets and on human null data sets to which a simulated fMR response had been added. ROC methods also were used to reanalyze one data set from a previously published work. Additional ROC methods that also may be useful for fMRI comparisons are described.
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## Abstract Many fMRI experiments have a common objective of identifying active voxels in a neuroimaging dataset. This is done in single subject experiments, for example, by performing individual voxelβwise tests of the null hypothesis that the observed time course is not significantly related to a