Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach.

J Psychiatry Neurosci

From the Laureate Institute for Brain Research, Tulsa, OK, USA (Smith, Kirlic, Stewart, Touthang, Kuplicki, Khalsa, Feinstein, Paulus, Aupperle); and the Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA (Stewart, Khalsa, Paulus, Aupperle).

Published: January 2021

Background: Imbalances in approach-avoidance conflict (AAC) decision-making (e.g., sacrificing rewards to avoid negative outcomes) are considered central to multiple psychiatric disorders. We used computational modelling to examine 2 factors that are often not distinguished in descriptive analyses of AAC: decision uncertainty and sensitivity to negative outcomes versus rewards (emotional conflict).

Methods: A previously validated AAC task was completed by 478 participants, including healthy controls ( = 59), people with substance use disorders ( = 159) and people with depression and/or anxiety disorders who did not have substance use disorders ( = 260). Using an active inference model, we estimated individual-level values for a model parameter that reflected decision uncertainty and another that reflected emotional conflict. We also repeated analyses in a subsample (59 healthy controls, 161 people with depression and/or anxiety disorders, 56 people with substance use disorders) that was propensity-matched for age and general intelligence.

Results: The model showed high accuracy (72%). As further validation, parameters correlated with reaction times and self-reported task motivations in expected directions. The emotional conflict parameter further correlated with self-reported anxiety during the task ( = 0.32, < 0.001), and the decision uncertainty parameter correlated with self-reported difficulty making decisions ( = 0.45, < 0.001). Compared to healthy controls, people with depression and/or anxiety disorders and people with substance use disorders showed higher decision uncertainty in the propensity-matched sample ( = 2.16, = 0.03, and = 2.88, = 0.005, respectively), with analogous results in the full sample; people with substance use disorders also showed lower emotional conflict in the full sample ( = 3.17, = 0.002).

Limitations: This study was limited by heterogeneity of the clinical sample and an inability to examine learning.

Conclusion: These results suggest that reduced confidence in how to act, rather than increased emotional conflict, may explain maladaptive approach-avoidance behaviours in people with psychiatric disorders.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955838PMC
http://dx.doi.org/10.1503/jpn.200032DOI Listing

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