Integrating HiTOP and Computational Psychiatry

Abstract

The recent emergence of HiTOP and computational psychiatry (CP) have contributed to a sense of renewed optimism for scientific and translational discovery. Despite arising from distinct research traditions, HiTOP and CP share a dissatisfaction with current nosology and feature complementary approaches to improving description, prediction, and explanation. This symposium presents a conceptual argument and recent empirical examples that demonstrate how HiTOP and CP can be integrated to improve clinical science. First, Tim Allen will present a conceptual overview of the benefits and challenges involved in integration. Second, Pete Hitchcock presents work using a computational model of meta-control to understand transdiagnostic repetitive negative thinking. Third, Alex Weigard highlights work showing that a task-general deficit in the ability to accumulate goal-relevant evidence is related to individual differences in externalizing psychopathology and its neural correlates. Finally, Alison Schreiber combines theory and data-driven CP approaches to understand how the brain encodes reward processing related to individual differences in extraversion and anhedonia. The symposium will include researchers from within and outside the HiTOP Consortium and span both data-driven and theory-driven applications of CP. We will conclude with an extended panel discussion focused on big picture issues related to integrating HiTOP into CP and vice versa.

Chair

Timothy Allen | University of Pittsburgh