scholarly journals Somatic Symptom Perception from a Predictive Coding Perspective – an Empirical Test Using the Thermal Grill Illusion

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Anne-Kathrin Bräscher ◽  
Stefan Sütterlin ◽  
Raymonde Scheuren ◽  
Omer Van den Bergh ◽  
Michael Witthöft
2021 ◽  
Vol 11 (2) ◽  
pp. 182
Author(s):  
Stefan Schmidt ◽  
Gerd Wagner ◽  
Martin Walter ◽  
Max-Philipp Stenner

In this perspective, we follow the idea that an integration of cognitive models with sensorimotor theories of compulsion is required to understand the subjective experience of compulsive action. We argue that cognitive biases in obsessive–compulsive disorder may obscure an altered momentary, pre-reflective experience of sensorimotor control, whose detection thus requires an implicit experimental operationalization. We propose that a classic psychophysical test exists that provides this implicit operationalization, i.e., the intentional binding paradigm. We show how intentional binding can pit two ideas against each other that are fundamental to current sensorimotor theories of compulsion, i.e., the idea of excessive conscious monitoring of action, and the idea that patients with obsessive–compulsive disorder compensate for diminished conscious access to “internal states”, including states of the body, by relying on more readily observable proxies. Following these ideas, we develop concrete, testable hypotheses on how intentional binding changes under the assumption of different sensorimotor theories of compulsion. Furthermore, we demonstrate how intentional binding provides a touchstone for predictive coding accounts of obsessive–compulsive disorder. A thorough empirical test of the hypotheses developed in this perspective could help explain the puzzling, disabling phenomenon of compulsion, with implications for the normal subjective experience of human action.


2020 ◽  
Vol 228 (2) ◽  
pp. 100-109 ◽  
Author(s):  
Michael Witthöft ◽  
Anne-Kathrin Bräscher ◽  
Stefanie M. Jungmann ◽  
Ferenc Köteles

Abstract. Models of chronic somatic symptoms assume that abnormalities in interoception are related to the development and maintenance of symptom distress. Different models, however, disagree on the exact nature of the assumed abnormality: cognitive-behavioral models stress a hypervigilant cognitive style (predicting higher interoceptive accuracy) whereas predictive processing models assume a less detailed sensory processing (predicting lower interoceptive accuracy). This study aimed at testing the relationship between interoception and symptom perception. Using structural equation modeling, associations between cardiac interoception and symptom perception were tested in a sample of students ( n = 316) and a second heterogeneous sample ( n = 340, including 63 patients with either pathological health anxiety or a somatoform disorder according to DSM-IV). Stronger sensory symptom perceptions in the cardiorespiratory system were associated with lower interoceptive accuracy in sample 2. The findings are more in line with the predictive processing approach, suggesting less detailed and more biased interoception being associated with chronic somatic symptom distress.


2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Giovanni Pezzulo ◽  
Domenico Maisto ◽  
Laura Barca ◽  
Omer Van den Bergh

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.


2020 ◽  
Vol 43 ◽  
Author(s):  
Martina G. Vilas ◽  
Lucia Melloni

Abstract To become a unifying theory of brain function, predictive processing (PP) must accommodate its rich representational diversity. Gilead et al. claim such diversity requires a multi-process theory, and thus is out of reach for PP, which postulates a universal canonical computation. We contend this argument and instead propose that PP fails to account for the experiential level of representations.


2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


Author(s):  
Roberto Limongi ◽  
Angélica M. Silva

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.


2016 ◽  
Vol 224 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Carsten M. Klingner ◽  
Stefan Brodoehl ◽  
Gerd F. Volk ◽  
Orlando Guntinas-Lichius ◽  
Otto W. Witte

Abstract. This paper reviews adaptive and maladaptive mechanisms of cortical plasticity in patients suffering from peripheral facial palsy. As the peripheral facial nerve is a pure motor nerve, a facial nerve lesion is causing an exclusive deefferentation without deafferentation. We focus on the question of how the investigation of pure deefferentation adds to our current understanding of brain plasticity which derives from studies on learning and studies on brain lesions. The importance of efference and afference as drivers for cortical plasticity is discussed in addition to the crossmodal influence of different competitive sensory inputs. We make the attempt to integrate the experimental findings of the effects of pure deefferentation within the theoretical framework of cortical responses and predictive coding. We show that the available experimental data can be explained within this theoretical framework which also clarifies the necessity for maladaptive plasticity. Finally, we propose rehabilitation approaches for directing cortical reorganization in the appropriate direction and highlight some challenging questions that are yet unexplored in the field.


Sign in / Sign up

Export Citation Format

Share Document