Fig. 7.

Differentiation between epileptogenic and eloquent cortex based on functional features of vascular networks of all patients. (A) Autoregressive model with an exogenous source (ARX) at Order 11 shows the greatest accuracy (0.84) and largest area under the receiver operating characteristic (ROC) curve (0.82). (B) The corresponding impulse response functions (IRFs) obtained from epileptogenic (blue) and eloquent (red) areas. (C) The hyper-plane obtained by support vector machine (SVM) was able to separate epileptogenic cortex from eloquent areas with a sensitivity of 93% and a specificity of 70% (n = 25, 15 epileptogenic and 10 eloquent areas). The patient ID number is showing on top of each scatter point. HWD = Haar wavelet decomposition. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)