Figure 2.

Functional Connectivity (FC) Networks Derived from Group-Mean FCs of the Test Dataset. The mean FC networks depict edge-connectivity patterns for (a) Empirical FC and FCs predicted by (b) MKL model; (c) DMF model³² and (d) SDK model¹⁸, respectively. Note the similarity of the MKL model and the empirical FC in terms of community assignment and inter-hemispheric connections. DMF model predicts a denser network while the single scale model predicts coarser network than the empirically observed FC. Brain-net-viewer⁴⁷ was used for visualization of the four communities detected from the Louvian algorithm available in brain-connectivity-toolbox⁴⁸. Colors of the edges and nodes are only to demarcate the communities observed and do not have any correspondence across brain surfaces for different models. Thus the comparison of community structure across models is qualitative in nature.