Computational Psychosomatics and Computational Psychiatry: Toward a Joint Framework for Differential Diagnosis

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 infer...

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Bibliographic Details
Published in:Biological psychiatry (1969) Vol. 82; no. 6; pp. 421 - 430
Main Authors: Petzschner, Frederike H., Weber, Lilian A.E., Gard, Tim, Stephan, Klaas E.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 15.09.2017
Subjects:
Allostasis
Bayes Theorem
Brain - physiopathology
Computer Simulation
Cybernetics
Diagnosis, Differential
Hierarchical Bayesian model
Homeostasis
Homeostasis - physiology
Humans
Inference
Mental Disorders - diagnosis
Mental Disorders - physiopathology
Metacognition
Metacognition - physiology
Models, Neurological
Prediction error
Psychiatric/Mental Health
Metacognition
Homeostasis
Inference
Prediction error
Cybernetics
Allostasis
Hierarchical Bayesian model
ISSN:0006-3223, 1873-2402, 1873-2402
Online Access:Get full text
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ObjectType-Review-3
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ISSN:0006-3223
1873-2402
1873-2402
DOI:10.1016/j.biopsych.2017.05.012