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Published December 2021 | Accepted Version + Supplemental Material
Journal Article Open

Pavlovian occasion setting in human fear and appetitive conditioning: Effects of trait anxiety and trait depression

Abstract

Contexts and discrete stimuli often hierarchically influence the association between a stimulus and outcome. This phenomenon, called occasion setting, is central to modulation-based Pavlovian learning. We conducted two experiments with humans in fear and appetitive conditioning paradigms, training stimuli in differential conditioning, feature-positive discriminations, and feature-negative discriminations. We also investigated the effects of trait anxiety and trait depression on these forms of learning. Results from both experiments showed that participants were able to successfully learn which stimuli predicted the electric shock and monetary reward outcomes. Additionally, as hypothesized, the stimuli trained as occasion setters had little-to-no effect on simple reinforced or non-reinforced stimuli, suggesting the former were indeed occasion setters. Lastly, in fear conditioning, trait anxiety was associated with increases in fear of occasion setter/conditional stimulus compounds; in appetitive conditioning, trait depression was associated with lower expectations of monetary reward for the trained negative occasion setting compound and transfer of the negative occasion setter to the simple reinforced stimulus. These results suggest that clinically anxious individuals may have enhanced fear of occasion setting compounds, and clinically depressed individuals may expect less reward with compounds involving the negative occasion setter.

Additional Information

© 2021 Elsevier Ltd. Received 18 February 2021, Revised 19 August 2021, Accepted 5 October 2021, Available online 9 October 2021. This material is based upon work supported by the National Science Foundation under Grant No. 1911441 granted to Tomislav Zbozinek, PhD under the supervision of Dean Mobbs, PhD and Michael Fanselow, PhD. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. CRediT authorship contribution statement: Tomislav D. Zbozinek: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft. Toby Wise: Writing – review & editing. Omar D. Perez: Writing – review & editing. Song Qi: Writing – review & editing, Software. Michael S. Fanselow: Conceptualization, Methodology, Supervision, Writing – review & editing. Dean Mobbs: Conceptualization, Methodology, Supervision, Resources, Writing – review & editing.

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Accepted Version - 1-s2.0-S0005796721001856-main.pdf

Supplemental Material - 1-s2.0-S0005796721001856-mmc1.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023