Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

Figure 2

Classification accuracies of different voxel selection methods. For each subject, the feature selection methods were applied to select approximately 310 voxels and to calculate the classification accuracies. Then, mean accuracy was computed across all subjects for each method. Error bars show the standard deviation of the mean accuracies across 10 subjects.