APS
29th APS Annual Convention · 2017
Drift-Diffusion Modeling of Reward Learning in Depression
Session: Poster Session XIV
Authors
- Victoria LawlorPresenting Author
McLean Hospital - Christian Webb
Harvard Medical School - Madhukar Trivedi
University of Texas Southwestern Medical Center - Maurizio Fava
Massachusetts General Hospital - Patrick McGrath
Columbia University Medical Center - Myrna Weissman
Columbia University Medical Center - Ramin Parsey
Stony Brook School of Medicine - Melvin McInnis
Michigan Medicine - Maria Oquendo
University of Pennsylvania Perelman School of Medicine - Cristina Cusin
Massachusetts General Hospital - Patricia Deldin
University of Michigan - Gerard Bruder
Columbia University Medical Center - Diego Pizzagalli
McLean Hospital - Daniel Dillon
McLean Hospital
Abstract
Drift diffusion modeling (DDM) was applied to data from depressed and healthy adults who completed a probabilistic reward task. There were no group differences in reward learning, but depressed participants were slower and less accurate. DDM analyses revealed slower drift rates and wider decision thresholds in depressed versus healthy participants.
Psychopathology
