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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Vydané v:	Biological psychiatry (1969) Ročník 82; číslo 6; s. 421 - 430
Hlavní autori:	Petzschner, Frederike H., Weber, Lilian A.E., Gard, Tim, Stephan, Klaas E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 15.09.2017
Predmet:	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
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Shrnutí:	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.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	0006-3223 1873-2402 1873-2402
DOI:	10.1016/j.biopsych.2017.05.012