Background Recent studies using simulated functional magnetic resonance imaging (fMRI) data show that self-employed vector analysis (IVA) is a superior solution for capturing spatial subject variability when compared with the widely used group independent component analysis (GICA). of multiple multivariate algorithms to capture subject variability for actual fMRI data for effective group comparisons. Results Discriminating… Continue reading Background Recent studies using simulated functional magnetic resonance imaging (fMRI) data