High trait anxiety blocks olfactory plasticity induced by aversive learning

Michelle C. Rosenthal, Michael A. Bacallao, Adam T. Garcia, John P. McGann

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Aversive learning normally induces alterations in sensory function as the brain's sensory systems are tuned to optimize detection and discrimination of threat-predictive stimuli. Anxiety disorders can disrupt behavioral discrimination between threat-predictive and neutral stimuli, resulting in overgeneralization of negative affective responses to non-threatening situations. We thus hypothesized that anxiety could disrupt learning-induced improvement in sensory discrimination. We tested perceptual discrimination between similar odorants before and after discriminative aversive conditioning. Participants exhibiting normal levels of trait anxiety developed a larger skin conductance response (SCR) to the shock-predictive odorant and substantial improvement in their perceptual discrimination between the two odors. Repeated exposure to the odors without shock partially extinguished the SCRs but the perceptual effect persisted. By contrast, participants with high levels of trait anxiety developed comparably sized SCRs to both odors and displayed no perceptual improvement. Learning-induced perceptual plasticity can thus be impaired in people with high levels of trait anxiety.

Original languageEnglish (US)
Article number108324
JournalBiological Psychology
Volume170
DOIs
StatePublished - Apr 2022

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Neuropsychology and Physiological Psychology

Keywords

  • Anxiety
  • Emotion
  • Fear
  • Forced-choice task
  • Generalization
  • Olfaction
  • Perception
  • Perceptual discimination
  • Physiology
  • Plasticity
  • Psychophysics
  • Sensory testing
  • Skin conductance

Fingerprint

Dive into the research topics of 'High trait anxiety blocks olfactory plasticity induced by aversive learning'. Together they form a unique fingerprint.

Cite this