Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma

• Published in: Drug and alcohol dependence Vol. 215; p. 108208
• Main Authors: Smith, Ryan, Schwartenbeck, Philipp, Stewart, Jennifer L., Kuplicki, Rayus, Ekhtiari, Hamed, Paulus, Martin P.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.10.2020; Elsevier Science Ltd
• Subjects: Active inference; Adult; Bayes Theorem; Bayesian analysis; Behavior; Cannabis; Computational modeling; Computer applications; Decision making; Directed exploration; Drug addiction; Drug use; Explore-exploit dilemma; Female; Gambling; Hallucinogens; Health risks; Health services utilization; Help seeking behavior; Humans; Information seeking behavior; Intelligence tests; Learning; Learning rate; Male; Marijuana; Narcotics; Opioids; Problem-Based Learning; Public health; Regression analysis; Sedative drugs; Sedatives; Stimulants; Substance use; Substance use disorder; Substance use disorders; Substance-Related Disorders - psychology; Task performance; Task Performance and Analysis; Uncertainty; Young Adult; Substance use disorders; Directed exploration; Computational modeling; Explore-exploit dilemma; Active inference; Learning rate

•Decision-making mechanisms in substance use disorders (SUDs) remain poorly understood.•We used computational modeling to better understand these mechanisms.•SUD patients showed less precise action selection mechanisms than healthy subjects.•SUD patients also learned slower from negative outcomes th...