ArticlePsychological medicine2023
Disrupted state transition learning as a computational marker of compulsivity.
Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Persistent representation of a prior schema in the orbitofrontal cortex facilitates learning of a conflicting schema.Nature communications · 2026Article
- Trait anxiety is associated with reduced reward-related replay at rest.Nature communications · 2025Article
- Complementary roles of serotonin and dopamine in model-based learning.Current opinion in behavioral sciences · 2025Article
- Impact of provoked stress on model-free and model-based reinforcement learning in individuals with alcohol use disorder.Addictive behaviors reports · 2024Article
- Beliefs, compulsive behavior and reduced confidence in control.PLoS computational biology · 2024Article
- Proactive control for conflict resolution is intact in subclinical obsessive-compulsive individuals.Frontiers in psychology · 2024Article
- Using smartphones to optimise and scale-up the assessment of model-based planning.Communications psychology · 2023Article
- How computational psychiatry can advance the understanding and treatment of obsessive-compulsive disorder.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- Interactive cognitive maps support flexible behavior under threat.Cell reports · 2023Article
- Opponent learning with different representations in the cortico-basal ganglia pathways can develop obsession-compulsion cycle.PLoS computational biology · 2023Article
- Identifying Transdiagnostic Mechanisms in Mental Health Using Computational Factor Modeling.Biological psychiatry · 2023Review
- Computational models of subjective feelings in psychiatry.Neuroscience and biobehavioral reviews · 2023Review
- Computational perspectives on human fear and anxiety.Neuroscience and biobehavioral reviews · 2023Review
- The role of the lateral orbitofrontal cortex in creating cognitive maps.Nature neuroscience · 2023Article
- Emotions as computations.Neuroscience and biobehavioral reviews · 2023Review
- Article
- Model-Based Planning Deficits in Compulsivity Are Linked to Faulty Neural Representations of Task Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDisorders involving compulsivity, fear, and anxiety are linked to beliefs that the world is less predictable. We lack a mechanistic explanation for how such beliefs arise. Here, we test a hypothesis that in people with compulsivity, fear, and anxiety, learning a probabilistic mapping between actions and environmental states is compromised.
methodsIn Study 1 (
resultsStudy 1 established that individuals with higher levels of compulsivity are more likely to demonstrate an impairment in state transition learning. Preliminary evidence here linked this impairment to a common factor comprising compulsivity and fear. Studies 2 and 3 showed that compulsivity is associated with learning that is too fast when it should be slow (i.e. when state transition are stable) and too slow when it should be fast (i.e. when state transitions change).
conclusionsTogether, these findings indicate that compulsivity is associated with a dysregulation of state transition learning, wherein the rate of learning is not well adapted to the task environment. Thus, dysregulated state transition learning might provide a key target for therapeutic intervention in compulsivity.
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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.