L-DOPA modulates activity in the vmPFC, Nucleus Accumbens and VTA during threat extinction learning in humans

  1. Roland Esser
  2. Christoph W Korn
  3. Florian Ganzer
  4. Jan Haaker  Is a corresponding author
  1. University Medical Center Hamburg-Eppendorf, Germany

Abstract

Learning to be safe is central for adaptive behaviour when threats are no longer present. Detecting the absence of an expected threat is key for threat extinction learning and an essential process for the behavioural treatment of anxiety related disorders. One possible mechanism underlying extinction learning is a dopaminergic mismatch signal that encodes the absence of an expected threat. Here we show that such a dopamine-related pathway underlies extinction learning in humans. Dopaminergic enhancement via administration of L-DOPA (vs. Placebo) was associated with reduced retention of differential psychophysiological threat responses at later test, which was mediated by activity in the ventromedial prefrontal cortex that was specific to extinction learning. L-DOPA administration enhanced signals at the time-point of an expected, but omitted threat in extinction learning within the nucleus accumbens, which were functionally coupled with the ventral tegmental area and the amygdala. Computational modelling of threat expectancies further revealed prediction error encoding in nucleus accumbens that was reduced when L-DOPA was administered. Our results thereby provide evidence that extinction learning is influenced by L-DOPA and provide a mechanistic perspective to augment extinction learning by dopaminergic enhancement in humans.

Data availability

All data for analyses and figures in this study are provided in the within the Open Science Framework

The following data sets were generated

Article and author information

Author details

  1. Roland Esser

    Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  2. Christoph W Korn

    Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Florian Ganzer

    Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Jan Haaker

    Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
    For correspondence
    j.haaker@uke.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8366-9559

Funding

Deutsche Forschungsgemeinschaft (Project B10 (INST 211/755) of the Collaborative Research Center TRR58)

  • Roland Esser
  • Jan Haaker

Deutsche Forschungsgemeinschaft (HA 7470/3-1)

  • Jan Haaker

Deutsche Forschungsgemeinschaft (collaborative research centre SFB TRR 169)

  • Christoph W Korn

Deutsche Forschungsgemeinschaft (Emmy Noether Research Group (392443797))

  • Christoph W Korn

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: The ethical approval was obtained by the ethics committee of the Ärztekammer Hamburg (PV5158)that approved the study. Participants gave their written, informed consent to participate in the study, for the collection of the data and consent to publish.

Copyright

© 2021, Esser et al.

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

Metrics

  • 1,120
    views
  • 153
    downloads
  • 25
    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. Roland Esser
  2. Christoph W Korn
  3. Florian Ganzer
  4. Jan Haaker
(2021)
L-DOPA modulates activity in the vmPFC, Nucleus Accumbens and VTA during threat extinction learning in humans
eLife 10:e65280.
https://doi.org/10.7554/eLife.65280

Share this article

https://doi.org/10.7554/eLife.65280

Further reading

    1. Neuroscience
    Maëliss Jallais, Marco Palombo
    Research Article

    This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. Harnessing a new deep learning architecture for automatic signal feature selection combined with simulation-based inference and efficient sampling of the posterior distributions, µGUIDE bypasses the high computational and time cost of conventional Bayesian approaches and does not rely on acquisition constraints to define model-specific summary statistics. The obtained posterior distributions allow to highlight degeneracies present in the model definition and quantify the uncertainty and ambiguity of the estimated parameters.

    1. Neuroscience
    Bharath Krishnan, Noah Cowan
    Insight

    Mice can generate a cognitive map of an environment based on self-motion signals when there is a fixed association between their starting point and the location of their goal.