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Classifying Heterogeneous Presentations Of Ptsd Via The Default Mode, Central Executive, And Salience Networks With Machine Learning., Andrew A Nicholson, Sherain Harricharan, Maria Densmore, Richard W J Neufeld, Tomas Ros, Margaret C Mckinnon, Paul A Frewen, Jean Theberge, Rakesh Jetly, David Pedlar, Ruth A Lanius
Classifying Heterogeneous Presentations Of Ptsd Via The Default Mode, Central Executive, And Salience Networks With Machine Learning., Andrew A Nicholson, Sherain Harricharan, Maria Densmore, Richard W J Neufeld, Tomas Ros, Margaret C Mckinnon, Paul A Frewen, Jean Theberge, Rakesh Jetly, David Pedlar, Ruth A Lanius
Department of Medicine Publications
Intrinsic connectivity networks (ICNs), including the default mode network (DMN), the central executive network (CEN), and the salience network (SN) have been shown to be aberrant in patients with posttraumatic stress disorder (PTSD). The purpose of the current study was to a) compare ICN functional connectivity between PTSD, dissociative subtype PTSD (PTSD+DS) and healthy individuals; and b) to examine the use of multivariate machine learning algorithms in classifying PTSD, PTSD+DS, and healthy individuals based on ICN functional activation. Our neuroimaging dataset consisted of resting-state fMRI scans from 186 participants [PTSD (n = 81); PTSD + DS (n = 49); and …