Symptom perception from a predictive processing perspective
| Autor: | Domenico Maisto, Giovanni Pezzulo, Laura Barca, Omer Van den Bergh |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
media_common.quotation_subject
somatic symptom disorder lcsh:BF1-990 Inference Somatic symptom disorder Disease 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine active inference Perception medicine medically unexplained symptoms 0501 psychology and cognitive sciences predictive coding media_common symptom perception Conceptualization somatic symptom disorder medically unexplained symptoms symptom perception predictive coding active inference 05 social sciences Perspective (graphical) medicine.disease Psychiatry and Mental health Clinical Psychology lcsh:Psychology Action (philosophy) Psychology 030217 neurology & neurosurgery Psychopathology Cognitive psychology |
| Zdroj: | Clinical Psychology in Europe 1 (2019). info:cnr-pdr/source/autori:Giovanni Pezzulo, Domenico Maisto, Laura Barca, Omer Van den Bergh/titolo:Symptom Perception From a Predictive Processing Perspective/doi:/rivista:Clinical Psychology in Europe/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:1 Clinical Psychology in Europe, Vol 1, Iss 4 (2019) |
| Popis: | Bodily symptoms are highly prevalent in psychopathology, and in some specific disorders, such as somatic symptom disorder, they are a central feature. In general, the mechanisms underlying these symptoms are poorly understood. However, also in well-known physical diseases there seems to be a variable relationship between physiological dysfunction and self-reported symptoms challenging traditional assumptions of a biomedical disease model. Recently, a new, predictive processing conceptualization of how the brain works has been used to understand this variable relationship. According to this predictive processing view, the experience of a symptom results from an integration of both interoceptive sensations as well as from predictions about these sensations from the brain. In the present paper, we introduce the predictive processing perspective on perception (predictive coding) and action (active inference), and apply it to asthma in order to understand when and why asthma symptoms are sometimes strongly, moderately or weakly related to physiological disease parameters. Our predictive processing view of symptom perception contributes to understanding under which conditions misperceptions and maladaptive action selection may arise. There is a variable relationship between physiological dysfunction and self-reported symptoms. We conceptualize symptom perception (and misperception) within a predictive processing perspective. In this view, symptom perception integrates sensations and predictions about these sensations. Failures of such integration can produce misperceptions and maladaptive action selection. We use the perception (and misperception) of asthma symptoms as an example. There is a variable relationship between physiological dysfunction and self-reported symptoms. We conceptualize symptom perception (and misperception) within a predictive processing perspective. In this view, symptom perception integrates sensations and predictions about these sensations. Failures of such integration can produce misperceptions and maladaptive action selection. We use the perception (and misperception) of asthma symptoms as an example. |
| Databáze: | OpenAIRE |
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