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. 2014 Oct 30;9(10):e111262. doi: 10.1371/journal.pone.0111262

Table 1. Graph theoretical properties of peak convergent networks.

Atlas (nodes) DC Connections Density PL CC G.Eff L Eff AS
Common (34) 0.71Inline graphic0.03 110 0.196
P1 2.39Inline graphic0.08 0.47Inline graphic0.02 0.42Inline graphic0.01 0.71Inline graphic0.04 0.12Inline graphic0.09
P2 2.42Inline graphic0.17 0.47Inline graphic0.05 0.42Inline graphic0.03 0.72Inline graphic0.05 0.04Inline graphic0.08
Hammers (44) 0.74Inline graphic0.05 152 0.161
P1 2.69Inline graphic0.11 0.48Inline graphic0.02 0.37Inline graphic0.02 0.74Inline graphic0.03 0.10Inline graphic0.10
P2 2.61Inline graphic0.11 0.48Inline graphic0.04 0.38Inline graphic0.02 0.71Inline graphic0.03 0.06Inline graphic0.06
Freesurfer (68) 0.66Inline graphic0.05 242 0.106
P1 2.93Inline graphic0.14 0.41Inline graphic0.03 0.34Inline graphic0.02 0.67Inline graphic0.05 0.12Inline graphic0.06
P2 2.94Inline graphic0.18 0.43Inline graphic0.04 0.34Inline graphic0.02 0.71Inline graphic0.04 0.02Inline graphic0.05
AAL (78) 0.70Inline graphic0.11 427 0.142
P1 2.40Inline graphic0.09 0.45Inline graphic0.03 0.42Inline graphic0.02 0.42Inline graphic0.01 0.11Inline graphic0.07
P2 2.43Inline graphic0.04 0.47Inline graphic0.01 0.41Inline graphic0.01 0.42Inline graphic0.01 0.07Inline graphic0.06

Graph theoretical characteristics of subject binary networks thresholded at the peak convergence density. Shown are the mean Inline graphic standard deviation of the graph theoretical properties of Pathlength (PL), Clustering Coefficient (CC), Global Efficiency (G. Eff), Local Efficiency (L. Eff) and Assortativity (AS), across subjects.