Exposure Therapy: Enhancing fear extinction

Gradually reducing a source of fear during extinction treatments may weaken negative memories in the long term.
  1. Sydney Trask  Is a corresponding author
  2. Nicole C Ferrara
  1. Department of Psychological Sciences, Purdue University West Lafayette, United States
  2. Purdue Institute for Integrative Neuroscience, Purdue University West Lafayette, United States
  3. Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, United States
  4. Discipline of Physiology and Biophysics, Chicago Medical School, Rosalind Franklin University of Medicine and Science, United States

Memories of aversive or negative events are central to the survival of animals. However, fear learning and memory can become a challenge in people with certain conditions, such as specific phobias, anxiety or PTSD. Such individuals often avoid certain activities or situations, or start to transfer their fear to new stimuli. This avoidance strategy may help reduce fear in the short term, but but it can increase distress in the long term.

One method to alleviate fear is exposure therapy, in which individuals are subjected to objects or situations they are afraid of in a safe environment, without experiencing harm (Craske et al., 2018). For example, for someone with a fear of dogs, exposure-based therapy might include looking at pictures of dogs. This will initially produce a fear response that can include physiological changes, such as perspiration and elevated heart rate, and psychological changes, such as an increase in subjective fear. After several exposures to these stimuli, both physiological and psychological indices of fear will decline.

While this ‘extinction’ method is highly effective in minimizing fear in the short term, fear reduced through this method is highly susceptible to relapse. Even patients and subjects showing no signs of fear at the end of therapy are likely to experience a rebound after a certain amount of time or when they are re-exposed to the distressing stimulus (Bouton et al., 2021; Vervliet et al., 2013).

Decades of research suggests that this re-appearance of symptoms happens because extinction creates a new inhibitory memory that competes with – rather than updates – the original fear memory. Recent learning theories suggest that learned events are assigned a ‘prediction error’: if the prediction error is large (i.e., the new experience differs greatly from the past one) a new association will be formed. But if the prediction error is small (and the new experience is similar to the past one), the existing memory will be updated or overwritten with new information. Since fear- and anxiety-based disorders are on the rise, identifying intervention and treatment strategies to mitigate fear in a long term, relapse-resistant manner is therefore of upmost importance (Jacob et al., 2021; Siegel et al., 2022).

Now, in eLife, Nathan Holmes and colleagues – including Nicholas Kennedy as first author – report evidence that supports this recent learning theory (Kennedy et al., 2024). Kennedy et al. used a classical conditioning protocol in which they conditioned rats to fear a tone (conditional stimulus) by pairing its presentation with a brief electric shock applied to the foot (unconditional stimulus). Following this training, rats responded with freezing to the tone alone.

The researchers then used two different procedures to reduce the rats’ fear. The first group received a ‘standard’ extinction procedure during which the rats were exposed to several presentations of the sound only. The second group received a new ‘gradual’ extinction procedure, during which the tone was paired with a gradually weakened shock voltage: from 0.8 to 0.4, 0.2, and 0.1 mA. While both the traditional and gradual extinction lessened the fear response, the gradual procedure was able to also reduce relapse.

Relapse was tested at different time points following extinction treatment. When animals were re-exposed to the tone two weeks after the extinction procedures, the traditional group showed an increase in fear (e.g., more freezing) while the gradual extinction group showed less fear. The gradual extinction group was also less likely to relapse even when the animals received a brief foot shock without sound (known as ‘reinstatement’) after the extinction treatment. However, both groups were similarly susceptible to relapse if there was a change in environmental conditions from conditioning to extinction, for example, changing the physical chamber or waiting a long time between conditioning and extinction (Figure 1). Thus, the efficacy of gradual extinction relies on similar contextual parameters during conditioning and extinction to optimally minimize relapse.

Comparison of standard versus gradual extinction protocols.

Kennedy et al. tested two different extinction procedures that reduce learned fear in rats following a classical fear conditioning protocol. The standard or traditional group (right) was exposed to a conditional stimulus (tone) only, without receiving any further electric shocks, while the gradual group (left) received a tone followed by electric shocks of a gradually reducedvoltage. In the traditional group, the fear response was initially reduced (white bar) but increased again during relapse (blue bar); this occurred regardless of whether the environmental conditions were the same (marked as no) or different (marked as yes) between extinction and conditioning. However, gradual extinction reduced relapse, but only when the environmental conditions between conditioning and extinction remained similar.

© 2024, BioRender Inc. Figure 1 was created using BioRender, and is published under a CC BY-NC-ND license. Further reproductions must adhere to the terms of this license.

Collectively, these results add to a growing literature that suggests manipulating the intensity of an unconditional stimulus (such as an electric shock) following training can have a substantial advantage over standard extinction treatments in reducing fear long-term. Kennedy et al. provide a clear explanation for these results that supports recent learning theories: too much variation between the original training shock and what occurs during extinction (as experienced in the standard group) is more likely to create a new inhibitory memory. On the other hand, a smaller change (as is experienced in the gradual extinction group) is more likely to weaken aspects of the original memory and is thus able to reduce fear long term.

These results present a promising first step in increasing the efficacy of extinction-based treatments. A next step will be to test the neural mechanisms that contribute to this effect to determine if and how this process differs from standard extinction practices, and if it could in fact be more similar to other processes relevant for updating memory, such as reconsolidation.

References

Article and author information

Author details

  1. Sydney Trask

    Sydney Trask is in the Department of Psychological Sciences, Purdue University, West Lafayette, United States and Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, United States

    For correspondence
    smtrask@purdue.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4396-5334
  2. Nicole C Ferrara

    Nicole C Ferrara is in the Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, United States and Discipline of Physiology and Biophysics, Chicago Medical School, Rosalind Franklin University of Medicine and Science, United States

    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4796-1135

Publication history

  1. Version of Record published: April 15, 2024 (version 1)

Copyright

© 2024, Trask and Ferrara

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 421
    views
  • 42
    downloads
  • 0
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sydney Trask
  2. Nicole C Ferrara
(2024)
Exposure Therapy: Enhancing fear extinction
eLife 13:e97633.
https://doi.org/10.7554/eLife.97633

Further reading

    1. Neuroscience
    Taicheng Huang, Jia Liu
    Research Article

    The fact that objects without proper support will fall to the ground is not only a natural phenomenon, but also common sense in mind. Previous studies suggest that humans may infer objects’ stability through a world model that performs mental simulations with a priori knowledge of gravity acting upon the objects. Here we measured participants’ sensitivity to gravity to investigate how the world model works. We found that the world model on gravity was not a faithful replica of the physical laws, but instead encoded gravity’s vertical direction as a Gaussian distribution. The world model with this stochastic feature fit nicely with participants’ subjective sense of objects’ stability and explained the illusion that taller objects are perceived as more likely to fall. Furthermore, a computational model with reinforcement learning revealed that the stochastic characteristic likely originated from experience-dependent comparisons between predictions formed by internal simulations and the realities observed in the external world, which illustrated the ecological advantage of stochastic representation in balancing accuracy and speed for efficient stability inference. The stochastic world model on gravity provides an example of how a priori knowledge of the physical world is implemented in mind that helps humans operate flexibly in open-ended environments.

    1. Neuroscience
    Geoffroy Delamare, Yosif Zaki ... Claudia Clopath
    Short Report

    Representational drift refers to the dynamic nature of neural representations in the brain despite the behavior being seemingly stable. Although drift has been observed in many different brain regions, the mechanisms underlying it are not known. Since intrinsic neural excitability is suggested to play a key role in regulating memory allocation, fluctuations of excitability could bias the reactivation of previously stored memory ensembles and therefore act as a motor for drift. Here, we propose a rate-based plastic recurrent neural network with slow fluctuations of intrinsic excitability. We first show that subsequent reactivations of a neural ensemble can lead to drift of this ensemble. The model predicts that drift is induced by co-activation of previously active neurons along with neurons with high excitability which leads to remodeling of the recurrent weights. Consistent with previous experimental works, the drifting ensemble is informative about its temporal history. Crucially, we show that the gradual nature of the drift is necessary for decoding temporal information from the activity of the ensemble. Finally, we show that the memory is preserved and can be decoded by an output neuron having plastic synapses with the main region.