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Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning

View ORCID ProfileKarita E. Ojala, View ORCID ProfileAthina Tzovara, Benedikt A. Poser, View ORCID ProfileAntoine Lutti, View ORCID ProfileDominik R. Bach
doi: https://doi.org/10.1101/2020.07.10.197665
Karita E. Ojala
1Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
2Neuroscience Centre Zurich, University of Zurich, Switzerland
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  • For correspondence: k.ojala@uke.de d.bach@ucl.ac.uk
Athina Tzovara
1Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
2Neuroscience Centre Zurich, University of Zurich, Switzerland
3Institute for Computer Science, University of Bern, Switzerland
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Benedikt A. Poser
4Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
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Antoine Lutti
5Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Switzerland
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Dominik R. Bach
1Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
2Neuroscience Centre Zurich, University of Zurich, Switzerland
6Wellcome Centre for Human Neuroimaging and Max-Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, UK
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  • For correspondence: k.ojala@uke.de d.bach@ucl.ac.uk
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Abstract

Learning to predict threat is important for survival. Such learning may be driven by differences between expected and encountered outcomes, termed prediction errors (PEs). While PEs are crucial for reward learning, the role of putative PE signals in aversive learning is less clear. Here, we used functional magnetic resonance imaging in humans to investigate neural PE signals. Four cues, each with a different probability of being followed by an aversive outcome, were presented multiple times. We found that neural activity only at omission - but not at occurrence - of predicted threat related to PEs in the medial prefrontal cortex. More expected omission was associated with higher neural activity. In no brain region did neural activity fulfill necessary computational criteria for full signed PE representation. Our result suggests that, different from reward learning, aversive learning may not be primarily driven by PE signals in one single brain region.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • http://doi.org/10.5281/zenodo.3939294

  • http://gitlab.com/kojala/threatlearning_fmri

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 10, 2020.
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Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning
Karita E. Ojala, Athina Tzovara, Benedikt A. Poser, Antoine Lutti, Dominik R. Bach
bioRxiv 2020.07.10.197665; doi: https://doi.org/10.1101/2020.07.10.197665
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Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning
Karita E. Ojala, Athina Tzovara, Benedikt A. Poser, Antoine Lutti, Dominik R. Bach
bioRxiv 2020.07.10.197665; doi: https://doi.org/10.1101/2020.07.10.197665

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