Rethinking post-traumatic stress disorder – A predictive processing perspective

@article{Kube2020RethinkingPS,
  title={Rethinking post-traumatic stress disorder – A predictive processing perspective},
  author={Tobias Kube and Max Berg and Birgit Kleim and Philipp Herzog},
  journal={Neuroscience \& Biobehavioral Reviews},
  year={2020},
  volume={113},
  pages={448-460}
}
Predictive processing has become a popular framework in neuroscience and computational psychiatry, where it has provided a new understanding of various mental disorders. Here, we apply the predictive processing account to post-traumatic stress disorder (PTSD). We argue that the experience of a traumatic event in Bayesian terms can be understood as a perceptual hypothesis that is subsequently given a very high a-priori likelihood due to its (life-) threatening significance; thus, this hypothesis… 

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