Fig. 2. Illustration of the procedure for finding spatiotemporal regions correspoding to significant differences between conditions using nonparametric.

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Fig. 2. Illustration of the procedure for finding spatiotemporal regions correspoding to significant differences between conditions using nonparametric cluster-based permutation test. (A) Calculation of univariate test-statistics at all the points in time-vertex space. (B) Left: selected regions in time-vertex space with high test-statistics. If two points are continuous with respect to either time and vertex, they are grouped as a cluster as shown. Three clusters with P < 0.05 are shown, along with the sum of test-statistics within each cluster. Right: The clusters with high sum of test-statistics are determined based on the null distribution obtained from random permutation.ERCD = event-related current density. Fig. 2. Illustration of the procedure for finding spatiotemporal regions correspoding to significant differences between conditions using nonparametric cluster-based permutation test. (A) Calculation of univariate test-statistics at all the points in time-vertex space. (B) Left: selected regions in time-vertex space with high test-statistics. If two points are continuous with respect to either . . . J Korean Med Sci. 2019;34(20):e146. https://doi.org/10.3346/jkms.2019.34.e146