“…Supervised machine learning algorithms such as support vector machines (SVM) have been used to investigate the potential use of these biomarkers for separating different disorders based on their neural correlates (Grotegerd et al., 2013; Lim et al., 2013; Lueken, Hilbert, Wittchen, Reif, & Hahn, 2015; MacMaster, Carrey, Langevin, Jaworska, & Crawford, 2014; Ota et al., 2013; Pantazatos, Talati, Schneier, & Hirsch, 2014; Schnack et al., 2014; Serpa et al., 2014; Takizawa et al., 2014). Given that GAD and MD do not only show common but also separate neural correlates (Beesdo et al., 2009; Canu et al., 2015; Etkin & Schatzberg, 2011; Oathes, Patenaude, Schatzberg, & Etkin, 2015), machine learning might also be successfully applied to the problem of recognizing GAD patients and separating them from MD patients. Biomarkers do not have to be restricted, however, to neural information (Boksa, 2013; Singh & Rose, 2009).…”