How people update their beliefs when faced with new information is integral to everyday life. A sizeable body of literature suggests that people's belief updating is optimistically biased, such that their beliefs are updated more in response to good news than bad news. However, recent research demonstrates that findings previously interpreted as evidence of optimistic belief updating may be the result of flaws in experimental design, rather than motivated reasoning. In light of this controversy, we conduct three pre-registered variations of the standard belief updating paradigm (combined N = 300) in which we test for asymmetric belief updating with neutral, non-valenced stimuli using analytic approaches found in previous research. We find evidence of seemingly biased belief updating with neutral stimuli - results that cannot be attributed to a motivational, valence-based, optimism account - and further show that there is uninterpretable variability across samples and analytic techniques. Jointly, these results serve to highlight the methodological flaws in current optimistic belief updating research.
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http://dx.doi.org/10.1016/j.cognition.2021.104939 | DOI Listing |
Brain
January 2025
Department of Child and Adolescent Psychopathology, CHU de Lyon, F-69000 Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, F-69000 Lyon, France.
Computational neuropsychiatry is a leading discipline to explain psychopathology in terms of neuronal message passing, distributed processing, and belief propagation in neuronal networks. Active Inference (AI) has been one of the ways of representing this dysfunctional signal processing. It involves that all neuronal processing and action selection can be explained by maximizing Bayesian model evidence, or minimizing variational free energy.
View Article and Find Full Text PDFGiven the same external input, one's understanding of that input can differ based on internal contextual knowledge. Where and how does the brain represent latent belief frameworks that interact with incoming sensory information to shape subjective interpretations? In this study, participants listened to the same auditory narrative twice, with a plot twist in the middle that dramatically shifted their interpretations of the story. Using a robust within-subject whole-brain approach, we leveraged shifts in neural activity between the two listens to identify where latent interpretations are represented in the brain.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Health Behavior and Health Equity, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States.
Background: Alzheimer's disease and related dementias (ADRD) are chronically underdiagnosed in the U.S., particularly among minoritized racial and ethnic groups.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Department of Psychology, Goldsmiths University of London, London, UK.
Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes.
View Article and Find Full Text PDFCognition
January 2025
Institute of Systems and Information Engineering, University of Tsukuba, Ibaraki 305-8573, Japan. Electronic address:
Pain perception is not solely determined by noxious stimuli, but also varies due to other factors, such as beliefs about pain and its uncertainty. A widely accepted theory posits that the brain integrates prediction of pain with noxious stimuli, to estimate pain intensity. This theory assumes that the estimated pain value is adjusted to minimize surprise, mathematically defined as errors between predictions and outcomes.
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