HUBATKOVÁ, Petra and Tomáš ŘIHÁČEK. Empirical support for predictive processing theory on persistent physical symptoms: A systematic review. In Society for Psychotherapy Research 54th International Meeting. 2023.
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Basic information
Original name Empirical support for predictive processing theory on persistent physical symptoms: A systematic review
Authors HUBATKOVÁ, Petra and Tomáš ŘIHÁČEK.
Edition Society for Psychotherapy Research 54th International Meeting, 2023.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 50100 5.1 Psychology and cognitive sciences
Country of publisher Ireland
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Social Studies
Keywords in English persistent physical symptoms; predictive processing; predictive coding; systematic review
Changed by Changed by: prof. Mgr. Tomáš Řiháček, Ph.D., učo 21252. Changed: 26/6/2023 16:08.
Abstract
Recently, several new theories on persistent physical symptoms (PPS) onset and maintenance have emerged. These theories are based on the so-called predictive processing framework, which understands perception as a reciprocal top-down-driven and bottom-up-informed process. This approach contrasts with older-generation models, mostly based on the representational framework of perception. Although some attempts have been made to provide a review of empirical support for predictive processing theory on PPS, none (to our best knowledge) have been made systematically. This paper aims to (1) provide an overview of recent theories and models on PPS based on predictive processing, (2) identify models’ components and suggested relationships, and (3) summarize the level and quality of current empirical support for these relationships. Systematic database research will be conducted, and empirical findings will be aggregated.
Links
MUNI/A/1446/2022, interní kód MUName: Výzkum psychoterapie: Systematické přehledové studie
Investor: Masaryk University
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