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. Author manuscript; available in PMC: 2013 Jun 24.
Published in final edited form as: Neuroinformatics. 2010 Dec;8(4):213–229. doi: 10.1007/s12021-010-9077-7

Fig. 4.

Fig. 4

Results from the top 2 components ranked by their J-divergence metrics. All maps have been thresholded at z-score>2.5 and the highest ranked components are shown from top to bottom. The J-divergence metric determines the degree of spatial heterogeneity between patients and controls, where a high J-divergence score reflects significant differences in the distribution of their feature component signals