Figure 2
Graphlets in effective brain network.
The dataset represents effective connectivity of the brain network, describing a network of directional effects of one neural region over another. (a) 116 regions (vertices) are considered in total (shown on the vertical axis); a directed edge represents causality of one region (vertex) over another. Each region is represented by a 16-dimensional feature vector (shown on the horizontal axis). Ward agglomerative hierarchical clustering procedure results in a heat-map representing clustered regions. Three (or four) clusters with similar local structure are easily indentified. (b) Two regions from the same cluster are shown, both having similar local structure; only for better visualization, a sub-graph with 64 nodes is shown in which the local structures around two (similar) vertices are shown. (c) Graphlet correlation matrices of an excitatory effective brain network (left panel) and an inhibitory effective brain network (right panel) are shown; only those entries for which correlations (or anti-correlations) are significant (>0.7 and <−0.7) are colored.
