Fig. 1.

Performance of different algorithms on simulated data. For each metric, optimal performance is shown by the horizontal green line. The metrics are accuracy in recovery of the subject-specific spatial maps, recovery of the run-specific network matrices (netmats), recovery of cross-subject differences in amplitudes (as different approaches normalise the data differently, we look at relative changes in amplitudes across subjects), and any biases in the recovered temporal correlations towards the spatial correlation structure. As well as PROFUMO and ICA-DR, we test dual regression starting with the group-level ground-truth spatial maps (GTg-DR) and thresholded dual regression (ICA-DRt, GTg-DRt).