In recognition of the spatial filter properties of a surface Laplacian CSD, the approach is commonly identified as high-resolution EEG, in contrast to the spatially-smoothed field potentials produced by standard, reference-dependent EEG recordings. Nunez et al. (1994) noted that the conventional EEG often has a spatial resolution of considerably worse than 5 cm, but that surface Laplacian and cortical imaging methods could achieve a resolution of 1–3 cm. Although we have noted that Laplacian methods may be appropriate for mid-to-low density montages (i.e., 32-channels or less; Kayser and Tenke, 2006a,2006b; Tenke and Kayser, 2005; Tenke et al., 2011), the empirical merits for a given montage must clearly be supported for each application, and are therefore beyond the scope of the present report. However, for any given montage, the CSD may itself provide a multiresolutional9 measure if the properties of the CSD computations are altered, such as the spline flexibility, or the number or spacing of nearest neighbors used to compute a local Hjorth.
