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Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework

Gu, X; FitzGerald, THB; Friston, KJ; (2019) Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework. Psychopharmacology , 236 (8) pp. 2405-2412. 10.1007/s00213-019-05300-5. Green open access

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Abstract

The nascent field computational psychiatry has undergone exponential growth since its inception. To date, much of the published work has focused on choice behaviors, which are primarily modeled within a reinforcement learning framework. While this initial normative effort represents a milestone in psychiatry research, the reality is that many psychiatric disorders are defined by disturbances in subjective states (e.g., depression, anxiety) and associated beliefs (e.g., dysmorphophobia, paranoid ideation), which are not considered in normative models. In this paper, we present interoceptive inference as a candidate framework for modeling subjective—and associated belief—states in computational psychiatry. We first introduce the notion and significance of modeling subjective states in computational psychiatry. Next, we present the interoceptive inference framework, and in particular focus on the relationship between interoceptive inference (i.e., belief updating) and emotions. Lastly, we will use drug craving as an example of subjective states to demonstrate the feasibility of using interoceptive inference to model the psychopathology of subjective states.

Type: Article
Title: Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00213-019-05300-5
Publisher version: https://doi.org/10.1007/s00213-019-05300-5
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Subjective beliefs states, Computational psychiatry, Interoceptive inference, Emotion Craving
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10085951
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