Statistical comparison indicated significant differences in mean node degree and mean node strength. Global clustering coefficient and global efficiency are significantly influenced by node degree. In order to adjust for differences in network density, group-level consensus thresholding was applied, such that we only retained connections that were found in each participant \cite{de_Reus_2013, 2016}. Analysis of global clustering coefficient and global efficiency in the consensus-thresholded networks indicated a significant reduction in both metrics in the ZDHHC9 group (see Table \ref{table:graph_theory} and Figure \ref{figure:Global_graph_measures}).