Sensitivity to pain expectations: A Bayesian model of individual differences

Cognition
Robert HoskinD Talmi

Abstract

The thoughts and feelings people have about pain (referred to as 'pain expectations') are known to alter the perception of pain. However little is known about the cognitive processes that underpin pain expectations, or what drives the differing effect that pain expectations have between individuals. This paper details the testing of a model of pain perception which formalises the response to pain in terms of a Bayesian prior-to-posterior updating process. Using data acquired from a short and deception-free predictive cue task, it was found that this Bayesian model predicted ratings of pain better than other, simpler models. At the group level, the results confirmed two core predictions of predictive coding; that expectation alters perception, and that increased uncertainty in the expectation reduces its impact on perception. The addition of parameters relating to trait differences in pain expectation improved the fit of the model, suggesting that such traits play a significant role in perception above and beyond the influence of expectations triggered by predictive cues. When the model parameters were allowed to vary by participant, the model's fit improved further. This final model produced a characterisation of each individua...Continue Reading

Citations

Aug 30, 2018·Journal of Cognitive Neuroscience·Deborah TalmiMatthias J Wieser
Sep 24, 2019·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Barbara L Finlay
Jul 3, 2019·Scientific Reports·E J HirdD Talmi
Sep 2, 2020·Psychonomic Bulletin & Review·Jonas ZamanYannick Boddez
Nov 19, 2020·PloS One·Benjamin LecorpsDaniel M Weary
Feb 18, 2021·Journal of Computational Neuroscience·Yuru SongZhe S Chen
Oct 8, 2020·Pain·Jonas ZamanJohan W S Vlaeyen
Jun 9, 2021·European Journal of Pain : EJP·Shervin VencatachellumClaus Vögele
Aug 30, 2021·Neuroscience and Biobehavioral Reviews·Benjamin LecorpsMarina A G von Keyserlingk

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