Empirical support for predictive processing theory on persistent physical symptoms: A systematic review
| Authors | |
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| Year of publication | 2023 |
| Type | Appeared in Conference without Proceedings |
| MU Faculty or unit | |
| Citation | |
| Description | 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. |
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