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Computational Markers of Risky Decision-making for Identification of Temporal Windows of Vulnerability to Opioid Use in a Real-world Clinical Setting

Computational Markers of Risky Decision-making for Identification of Temporal Windows of... Key PointsQuestionCan tools from computational psychiatry and decision neuroscience be used to understand and assess prospective opioid reuse risk? FindingsThis longitudinal study serially examined computational markers of risky decision-making in individuals who use opioids, studied over 7 months of treatment. An increase in an individual marker of tolerance to ambiguity (a context in which there is limited information about environmental risk) was significantly tied to imminent opioid use (within 1-4 weeks) in a manner statistically independent of standard clinical factors associated with opioid use. MeaningIn this study, computational markers of risky decision-making capture distinct latent cognitive processes with clinical utility for detecting opioid reuse vulnerability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Psychiatry American Medical Association

Computational Markers of Risky Decision-making for Identification of Temporal Windows of Vulnerability to Opioid Use in a Real-world Clinical Setting

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References (51)

Publisher
American Medical Association
Copyright
Copyright 2019 American Medical Association. All Rights Reserved.
ISSN
2168-622X
eISSN
2168-6238
DOI
10.1001/jamapsychiatry.2019.4013
Publisher site
See Article on Publisher Site

Abstract

Key PointsQuestionCan tools from computational psychiatry and decision neuroscience be used to understand and assess prospective opioid reuse risk? FindingsThis longitudinal study serially examined computational markers of risky decision-making in individuals who use opioids, studied over 7 months of treatment. An increase in an individual marker of tolerance to ambiguity (a context in which there is limited information about environmental risk) was significantly tied to imminent opioid use (within 1-4 weeks) in a manner statistically independent of standard clinical factors associated with opioid use. MeaningIn this study, computational markers of risky decision-making capture distinct latent cognitive processes with clinical utility for detecting opioid reuse vulnerability.

Journal

JAMA PsychiatryAmerican Medical Association

Published: Apr 8, 2020

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