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. 2016 Jan 1;124(Pt A):1054–1064. doi: 10.1016/j.neuroimage.2015.09.041

Fig. 1.

Fig. 1

Summary of the geometric model: (A) observed (black) and synthetic networks generated at different points in parameter space. (B) Energy landscape showing the behavior of KSe, KSc, and energy as a function of η. The dashed vertical lines indicate the parameter values at which the example synthetic networks were generated. (C) Distribution of η parameter of top 1% lowest-energy synthetic networks aggregated across all participants. (D) Cumulative distributions of degree (orange), clustering coefficient (green), betweenness centrality (yellow), and edge length (purple) for observed connectome (darker line) and best-fitting synthetic networks (lighter lines) for a representative participant.