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. Author manuscript; available in PMC: 2007 Dec 1.
Published in final edited form as: Neuroimage. 2006 Oct 2;33(4):1093–1103. doi: 10.1016/j.neuroimage.2006.07.036

Figure 1.

Figure 1

Iterative smoothing of simulated data on the cortical surface. Images on the left illustrate a cluster growing from a single “seed” vertex as smoothing is applied. For each level of smoothing, the cluster includes those vertices with values at least half the maximum value (the current value of the seed vertex). Images on the right show the effect of smoothing on Gaussian noise (normally distributed random values) at each vertex. Below is a graph plotting the full-width-half-max (FWHM) distance as a function of the number of smoothing steps for each of these estimation methods. Average values (n=12 subjects) were plotted with error bars representing the standard deviation.