Published May 2022 | Version Supplemental Material
Journal Article Open

Optimizing exposure therapy with an inhibitory retrieval approach and the OptEx Nexus

  • 1. ROR icon University of California, Los Angeles
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon KU Leuven

Abstract

Research from recent decades has highlighted the distinction between excitatory and inhibitory Pavlovian learning mechanisms. Based on this distinction, state-of-the-art exposure therapy for anxiety disorders emphasizes inhibitory learning and retrieval as its primary mechanism for long-term reduction in fear, anxiety, and avoidance. Seven years ago, we (Craske, et al., 2014) summarized exposure therapy from an inhibitory learning approach, focusing on eight exposure optimization strategies. Here, we update this model based on recent work and describe how to conduct exposure therapy from an inhibitory retrieval approach and encourage further empirical investigation of its basic premises. To this end, we guide the reader in the use of the OptEx Nexus: a clinician's tool for conducting exposure therapy from an inhibitory retrieval approach. We categorize exposure strategies as fundamental (expectancy violation, attention to feared stimulus/situation, removal of safety signals, and mental rehearsal after exposure), advanced (deepened extinction, occasional reinforced extinction), and promoting generalization of learning (retrieval cues, multiple contexts, stimulus variability, positive affect). We additionally discuss extinction learning with distal future feared outcomes, the role of avoidance, and alternative models/approaches to exposure therapy, including counterconditioning, novelty-enhanced extinction, latent cause models, and reconsolidation. Lastly, we illustrate clinical implementation via vignettes of exposure therapy from an inhibitory retrieval approach (see Supplemental materials).

Additional Information

© 2022 Elsevier Ltd. Received 4 June 2021, Revised 12 January 2022, Accepted 24 February 2022, Available online 15 March 2022. Credit author statement: Michelle G. Craske: Conceptualization, Writing-Original draft preparation, Writing-Review and Editing Michael Treanor.: Conceptualization, Writing-Original draft preparation, Writing-Review and Editing Tomislav D. Zbozinek: Conceptualization, Writing-Original draft preparation, Writing-Review and Editing Bram Vervliet: Conceptualization, Writing-Original draft preparation, Writing-Review and Editing. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Supplemental Material - 1-s2.0-S0005796722000407-mmc1.docx

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Identifiers

Eprint ID
113971
DOI
10.1016/j.brat.2022.104069
Resolver ID
CaltechAUTHORS:20220318-999075000

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Dates

Created
2022-03-21
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Updated
2022-03-28
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