Review
doi: 10.1016/j.biopsych.2017.05.012. Epub 2017 May 25.Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis
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- PMID:28619481
- DOI: 10.1016/j.biopsych.2017.05.012
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Review
Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis
Frederike H Petzschner et al. Biol Psychiatry..
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Abstract
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1) how conceptualizing perception and action as inference-control loops yields a joint computational perspective on brain-world and brain-body interactions and 2) how the concrete formulation of this loop as a hierarchical Bayesian model points to key computational quantities that inform a taxonomy of potential disease mechanisms. We consider the utility of this perspective for differential diagnosis in concrete clinical applications.
Keywords: Allostasis; Cybernetics; Hierarchical Bayesian model; Homeostasis; Inference; Metacognition; Prediction error.
Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Comment in
- Computational Psychiatry: Embracing Uncertainty and Focusing on Individuals, Not Averages.Chekroud AM, Lane CE, Ross DA.Chekroud AM, et al.Biol Psychiatry. 2017 Sep 15;82(6):e45-e47. doi: 10.1016/j.biopsych.2017.07.011.Biol Psychiatry. 2017.PMID:28838470Free PMC article.No abstract available.
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