17 October 2018: Connectome-based prediction of substance-use

Sarah W. Yip
Department of Psychiatry
Yale School of Medicine

Despite advances, the effectiveness of most substance-use interventions remains highly variable across individuals and multiple quit-attempts are standard. This talk will present recent findings demonstrating the ability of connectome-based predictive modeling (CPM)¬—a data-driven method of identifying neural networks subserving specific behaviors—to predict abstinence during substance-use treatment. Evidence for largely dissociable neural substrates of cocaine versus opioid use in poly-addicted individuals will also be presented and clinical implications will be discussed.