Avoid-approach conflict behaviors differentially affected by anxiolytics: implications for a computational model of risky decision-making

Cody J. Walters, Jerrius Jubran, Ayaka Sheehan, Matthew T. Erickson, A. David Redish

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Whether fear or anxiety is expressed is thought to depend on an animal’s proximity to threat. In general, fear is elicited when threat is proximal, while anxiety is a response to threat that is distal and uncertain. This threat gradient model suggests that fear and anxiety involve non-overlapping neural circuitry, yet few behavioral paradigms exist that elicit both states. We studied avoid-approach conflict in rats that were behaving in a predator-inhabited foraging arena task that involved tangible threat and reward incentives. In the task, rats exhibited a variety of both fearful and anxious behaviors corresponding to proximal and distal threat, respectively. We then administered ethanol or diazepam to the rats in order to study how anxiolytics affected these fear and anxiety behaviors. We discovered that both ethanol and diazepam attenuated proximal-threat fear-like behaviors. Furthermore, we found that diazepam, but not ethanol, increased distal-threat anxiety-like behavior but also made rats less risk-averse. Finally, we describe how decisional conflict can be modeled as a partially observable Markov decision process and characterize a potential relationship between anxious behavior, diazepam’s ability to suppress hippocampal theta oscillations, and hippocampal representations of the future.

Original languageEnglish (US)
Pages (from-to)2513-2525
Number of pages13
JournalPsychopharmacology
Volume236
Issue number8
DOIs
StatePublished - Aug 1 2019

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Keywords

  • Anxiety
  • Anxiolytics
  • Avoid-approach conflict
  • Computational modeling
  • Decision-making
  • Diazepam
  • Ethanol
  • Fear
  • Foraging theory
  • Prospection

PubMed: MeSH publication types

  • Journal Article

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