ArticlePLoS computational biology2020
Doubting what you already know: Uncertainty regarding state transitions is associated with obsessive compulsive symptoms.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 32 citations in OpenAlex.
- Excessive Switching in OCD and Paranoia Arises From Different Deficits in Belief-Updating.Computational psychiatry (Cambridge, Mass.) · 2026Article
- OCD Compulsions as Aberrant Integration of Uncertainty from Local Goals to Global Goals.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Mechanisms and interventions promoting healthy frontostriatal dynamics in obsessive-compulsive disorder.Nature communications · 2025Article
- Individual differences in probabilistic learning and updating predictive representations in individuals with obsessive-compulsive tendencies.BMC psychiatry · 2025Article
- Review
- Compulsive avoidance in youths and adults with OCD: an aversive pavlovian-to-instrumental transfer study.Translational psychiatry · 2024Article
- Neurocomputational model of compulsivity: deviating from an uncertain goal-directed system.Brain : a journal of neurology · 2024Article
- Childhood Trauma, Mentalization and Obsessive Compulsive Symptoms in a Non-Clinical Sample: A Mediation Analysis Study.Clinical neuropsychiatry · 2024Article
- Beliefs, compulsive behavior and reduced confidence in control.PLoS computational biology · 2024Article
- The aesthetic valve: how aesthetic appreciation may switch emotional states from anxiety to curiosity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Cognitive inflexibility, obsessive-compulsive symptoms and traits and poor post-pandemic adjustment.Neuroscience applied · 2024Review
- Proactive control for conflict resolution is intact in subclinical obsessive-compulsive individuals.Frontiers in psychology · 2024Article
- How computational psychiatry can advance the understanding and treatment of obsessive-compulsive disorder.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- Hierarchical inference as a source of human biases.Cognitive, affective & behavioral neuroscience · 2023Article
- Disrupted state transition learning as a computational marker of compulsivity.Psychological medicine · 2023Article
- Atypical action updating in a dynamic environment associated with adolescent obsessive-compulsive disorder.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Understanding cingulotomy's therapeutic effect in OCD through computer models.Frontiers in integrative neuroscience · 2022Review
- Computational Predictions for OCD Pathophysiology and Treatment: A Review.Frontiers in psychiatry · 2021Review
- Compulsion is associated with impaired goal-directed and habitual learning and responding in obsessive-compulsive disorder.International journal of clinical and health psychology : IJCHPArticle
- Obsessive beliefs and uncertainty in obsessive compulsive and related patients creencias obsesivas e incertidumbre en pacientes con trastorno obsesivo compulsivo y afines.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obsessive compulsive (OC) symptoms involve excessive information gathering (e.g., checking, reassurance-seeking), and uncertainty about possible, often catastrophic, future events. Here we propose that these phenomena are the result of excessive uncertainty regarding state transitions (transition uncertainty): a computational impairment in Bayesian inference leading to a reduced ability to use the past to predict the present and future, and to oversensitivity to feedback (i.e. prediction errors). Using a computational model of Bayesian learning under uncertainty in a reversal learning task, we investigate the relationship between OC symptoms and transition uncertainty. Individuals high and low in OC symptoms performed a task in which they had to detect shifts (i.e. transitions) in cue-outcome contingencies. Modeling subjects' choices was used to estimate each individual participant's transition uncertainty and associated responses to feedback. We examined both an optimal observer model and an approximate Bayesian model in which participants were assumed to attend (and learn about) only one of several cues on each trial. Results suggested the participants were more likely to distribute attention across cues, in accordance with the optimal observer model. As hypothesized, participants with higher OC symptoms exhibited increased transition uncertainty, as well as a pattern of behavior potentially indicative of a difficulty in relying on learned contingencies, with no evidence for perseverative behavior. Increased transition uncertainty compromised these individuals' ability to predict ensuing feedback, rendering them more surprised by expected outcomes. However, no evidence for excessive belief updating was found. These results highlight a potential computational basis for OC symptoms and obsessive compulsive disorder (OCD). The fact the OC symptoms predicted a decreased reliance on the past rather than perseveration challenges preconceptions of OCD as a disorder of inflexibility. Our results have implications for the understanding of the neurocognitive processes leading to excessive uncertainty and distrust of past experiences in OCD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.