Figure 5

Graph theoretical metrics of the fast ripple (FR) mutual information (MI) temporal correlational network relative to the margins of the resection predict post-operative seizure outcome. (A) Box plots of the FR MI graph theoretical metrics stratified by post operative seizure outcome Engel (E) class. The FR MI mean characteristic path length resected ratio (A1) measured from communicating edges only in the resection margins divided by the path length measured from the whole FR MI network (Spearman rank correlation, pā<ā0.05). The maximum clustering coefficient value (A2) among the unresected nodes calculated from the whole FR MI network prior to resection (Spearman, pā>ā0.05). The mean local efficiency value (A3) as in A2 (Spearman, pā>ā0.05). The mean local efficiency value from the FR MI network characterized after resection (Spearman pā<ā0.05, A4). (B) Receiver operating characteristic curves (ROC) of these FR MI graph theoretical metrics for predicting seizure free (E1) outcome (B1) or seizure improved (E1-3) outcome (B2). The color-coded legend for the ROC curves and the corresponding area under the ROC curve values (B3).