Fig. 5.

Dynamic kernel canonical correlation analysis (DKCCA) identifies the correct region of interest where other methods fail. Comparison of DKCCA, APC (averaging the pairwise correlations between signals), and CAS (taking the correlation between the average of signals in each region) on simulated data with signal present in only a portion of the electrodes. DKCCA correctly identifies signal, as above. APC and CAS are unable to identify signal. Note that intensity is not comparable across methods as all correlations in APC and CAS are comparatively small, so correlations have been scaled for visual presentation.