Other examples of low-density CSD applications involve basic and applied research applications concerned with focal, motor-related activations (e.g., Amengual et al., 2014; Burle et al., 2015; Meckler et al., 2011; Vidal et al., 2003, 2015). Particularly in clinical settings, for which high-resolution EEG is often not feasible, the surface Laplacian transformation can maximize the signal-to-noise ratio for the measure of interest (e.g., Cincotti et al., 2004; McFarland, 2014; McFarland et al., 1997). In the latter case, the merits of surface Laplacian are specifically exploited for individual data.
