Beliefs play a crucial role in shaping our behaviors and mental health outcomes. Asymmetric belief updating refers to the phenomenon where desirable information is updated more readily than undesirable information. An essential feature of anxiety is threat-overestimation and a tendency to focus on the negative aspects of experience while avoiding sharp negative emotional contrasts. These two characteristics lead to different predictions concerning belief updating. One scenario would suggest a reduction in asymmetric update behavior, indicating negativity bias, whereas the other would indicate an increase in asymmetric update, indicating contrast avoidance. To test these two rival predictions, participants (n = 54) first completed trait-measures and then performed a belief update task. Moreover, memory for the information presented was assessed in the short-term and long-term. Skin conductance response was measured to assess arousal levels. Overall, our findings revealed that higher levels of trait-anxiety predicted a greater integration of desirable information but not undesirable information. Trait-intolerance of uncertainty did not exhibit an association with update behavior. Skin conductance and memory were not associated with trait-measures. We discuss these results in line with the Contrast Avoidance Model of anxiety in terms of avoidance of unexpected negative and positive contrasts induced by relief during belief updating.
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http://dx.doi.org/10.3758/s13415-025-01282-4 | DOI Listing |
Sci Adv
March 2025
Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
The human brain has a remarkable ability to learn and update its beliefs about the world. Here, we investigate how thermosensory learning shapes our subjective experience of temperature and the misperception of pain in response to harmless thermal stimuli. Through computational modeling, we demonstrate that the brain uses a probabilistic predictive coding scheme to update beliefs about temperature changes based on their uncertainty.
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March 2025
Instituto de Biología Molecular y Neurociencias (IFIByNE)-CONICET, Instituto de Fisiología, Buenos Aires, Argentina.
Beliefs play a crucial role in shaping our behaviors and mental health outcomes. Asymmetric belief updating refers to the phenomenon where desirable information is updated more readily than undesirable information. An essential feature of anxiety is threat-overestimation and a tendency to focus on the negative aspects of experience while avoiding sharp negative emotional contrasts.
View Article and Find Full Text PDFCranio
March 2025
Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.
Objective: Bruxism is repetitive masticatory muscle activity occurring during sleep or wakefulness. Once considered purely harmful, it is now recognized as having both risk (e.g.
View Article and Find Full Text PDFBrain Commun
February 2025
Department of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.
Psychotic beliefs are typically held with high certainty. Altered computation of uncertainty about a belief and about environmental dynamics may be an underlying mechanism of psychotic symptoms. We set out to shed light on behavioural and neural correlates of uncertainty processing and how it drives belief updating in psychosis.
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March 2025
School of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150500, Heilongjiang Province, China.
An effective fault detection strategy has always been the focus of smart grid system research. Fast and accurate fault detection is the basis for complex systems to maintain reliability and security. However, traditional fault detection methods often ignore the interpretability of the model while pursuing high detection accuracy.
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