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The current project used PRT data from unmedicated, treatment-seeking adults with MDD to extend these efforts by: (1) providing a more detailed analysis of standard PRT metrics\u2014response bias and discriminability\u2014to better understand how the task is performed; (2) analyzing the data with two computational models and providing psychometric analyses of both; and (3) determining whether response bias, discriminability, or model parameters predicted responses to treatment with placebo or the atypical antidepressant bupropion. Analysis of standard metrics replicated recent work by demonstrating a dependency between response bias and response time (RT), and by showing that reward totals in the PRT are governed by discriminability. Behavior was well-captured by the Hierarchical Drift Diffusion Model (HDDM), which models decision-making processes; the HDDM showed excellent internal consistency and acceptable retest reliability. A separate \u201cbelief\u201d model reproduced the evolution of response bias over time better than the HDDM, but its psychometric properties were weaker. Finally, the predictive utility of the PRT was limited by small samples; nevertheless, depressed adults who responded to bupropion showed larger pre-treatment starting point biases in the HDDM than non-responders, indicating greater sensitivity to the PRT\u2019s asymmetric reinforcement contingencies. Together, these findings enhance our understanding of reward and decision-making mechanisms that are implicated in MDD and probed by the PRT.<\/jats:p>","DOI":"10.5334\/cpsy.108","type":"journal-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T05:50:31Z","timestamp":1714715431000},"source":"Crossref","is-referenced-by-count":8,"title":["Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task"],"prefix":"10.5334","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1977-700X","authenticated-orcid":false,"given":"Daniel G.","family":"Dillon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9024-468X","authenticated-orcid":false,"given":"Emily 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