2026
article
OpenAlex
Philip Robert Corlett
This article implores clinicians to consider whether artificial intelligence models may induce delusionlike beliefs—and how to help overcome this phenomenon.
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2026
preprint
OpenAlex
Martin Meyer, Deanna Greco, Constance Lubinski, Philip Robert Corlett
Misidentification delusions – e.g., "My partner is an impostor” – occur most strikingly in rare neuropsychological cases, which are relatively immune to empirical study. Theorizing from these cases augurs commitments to a modular mental ontology. But what if misidentification beliefs were common? …
Accès ouvert
2026
preprint
OpenAlex
Deanna Greco, Philip Robert Corlett, Constance Lubinski, Martin Meyer
Misidentification delusions – e.g., "My partner is an impostor” – occur most strikingly in rare neuropsychological cases, which are relatively immune to empirical study. Theorizing from these cases augurs commitments to a modular mental ontology. But what if misidentification beliefs were common? …
Accès ouvert
2026
article
OpenAlex
Zachary Anderson, Victor Pokorny, Joshua Kenney, James M. Gold et autres
OBJECTIVE: The dissemination of inexpensive computerized behavioral tasks indexing amotivation may enhance the assessment of clinical high risk (CHR) across settings. However, the impact of varying reward value in such tasks is unclear. If point-based rewards engage participants, this could improve the …
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Accès ouvert
2026
article
OpenAlex
Julia M. Sheffield, Lauren M. Hall, Jinyuan Liu, Essence Leslie et autres
BACKGROUND: Computational psychiatry has revealed latent aspects of cognition that relate to psychiatric symptoms. Yet, to understand their clinical utility, it must be known whether these computational parameters contribute to symptom severity in a traitlike (stable) or statelike (dynamic) manner. Mounting evidence …
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2026
article
OpenAlex
Charlotte M. Freeland, Santiago Castiello, Praveen Suthaharan, Christopher Pittenger et autres
Both obsessions and paranoia are characterized by cognitive inflexibility, particularly in uncertain environments. Differential diagnosis can be challenging and depends on clinical interviews and self-report symptom questionnaires. We predicted that obsessions and paranoia would be associated with distinct suboptimal choice behavioral patterns …
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2026
preprint
OpenAlex
Chantal Miller-Silva, Franziska Knolle, Andrea Greve, Franciska de Beer et autres
Abstract Background & Hypothesis Dysfunctional predictive processing (PP), specifically the aberrant weighting of priors, is a frequently-proposed mechanism for psychosis and psychosis-like phenomena (schizotypy). Evidence for this theory mostly originates from single-task studies, which assume that all tasks load onto a single …
gb, de, nl, es, us
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2026
article
OpenAlex
Zachary B. Millman, James M. Gold, Jason Eric Schiffman, Lauren M. Ellman et autres
Negative symptoms of schizophrenia are associated with deficits in representing the value of actions, observed in reinforcement learning (RL) tasks as impaired learning from gains but intact learning from losses. This RL profile contrasts with depression, where enhanced loss sensitivity is common. …
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2026
article
OpenAlex
George E. Chapman, Philip Robert Corlett, Stephen M. Fleming, Robert J. Howard
gb, us
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Accès ouvert
2026
preprint
OpenAlex
Deanna Greco, Sandy Camilo, Santiago Castiello, Charlotte M. Freeland et autres
Background: Paranoia—believing that others intend harm—is a distressing feature of psychosis that shapes people’s interpretations of experiences and interactions with the environment. Predictive processing accounts of paranoia posit that these paranoid beliefs arise from aberrations in belief updating in which overly precise …
gb
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Accès ouvert
2026
preprint
OpenAlex
Julia Nachemson, Adam Christoferson, Deanna Greco, Philip Robert Corlett et autres
Background: Paranoia—believing that others intend harm—is a distressing feature of psychosis that shapes people’s interpretations of experiences and interactions with the environment. Predictive processing accounts of paranoia posit that these paranoid beliefs arise from aberrations in belief updating in which overly precise …
Accès ouvert
2026
article
OpenAlex
Jessica M. Duda, Tyrone D. Cannon, Samuel Paskewitz, William Chung Palmer et autres
Background: The brain is believed to construct a generative model of the environment, updated via differences between predictions and incoming sensory evidence (i.e., prediction errors). Uncertainty can arise at multiple levels, including when estimating the environment's causal structure (stochasticity; first order), the …
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