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. 2013 Sep 26;9(9):e1003171. doi: 10.1371/journal.pcbi.1003171

Figure 4. Geometrical core-periphery organization in brain networks.

Figure 4

(A) Core quality Inline graphic (5) in the Inline graphic parameter plane for a typical participant (3), scanning session (1), sequence type (EXT), and experimental block (1). (B) Distribution of the Inline graphic and Inline graphic values that maximize the Inline graphic-score. We compute this distribution over all network layers, participants, scanning sessions, and sequence types. The Inline graphic parameter is much more localized (its standard deviation is 0.05) than the Inline graphic parameter (its standard deviation is 0.26). (C) Mean core shape. We plot the ordered vector of Inline graphic values. We have set the values of Inline graphic and Inline graphic to the mean values of those that maximize the Inline graphic-score for all network layers, participants, scanning sessions, and sequence types.