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Conditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility by Eren Kafadar; Victoria L. Fisher; Brittany Quagan; Allison Hammer; Hale Jaeger; Catalina Mourgues; Rigi Thomas; Linda Chen; Ayyub Imtiaz; Ely Sibarium; Alyson M. Negreira; Elif Sarisik; Vasishta Polisetty; David Benrimoh; Andrew D. Sheldon; Chris Lim; Christoph Mathys; Albert R. Powers is a Neuroscience article available to read on EtoBox.

What is Conditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility about?

BACKGROUND: Recent advances in computational psychiatry have identified latent cognitive and perceptual states that predispose to psychotic symptoms. Behavioral data fit to Bayesian models have demonstrated an overreliance on priors (i.e., prior overweighting) during perception in select samples of individuals with hallucinations, corresponding to increased precision of prior expectations over incoming sensory evidence. However, the clinical utility of this observation depends on the extent to which it reflects static symptom risk or current symptom state. METHODS: To determine whether task performance and estimated prior weighting relate to specific elements of symptom expression, a large, heterogeneous, and deeply phenotyped sample of hallucinators (n = 249) and nonhallucinators (n = 209) performed the conditioned hallucination (CH) task. RESULTS: We found that CH rates predicted stable measures of hallucination status (i.e., peak frequency). However, CH rates were more sensitive to hallucination state (i.e., recent frequency), significantly correlating with recent hallucination severity and driven by heightened reliance on past experiences (priors). To further test the sensitivi

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Author

Eren Kafadar; Victoria L. Fisher; Brittany Quagan; Allison Hammer; Hale Jaeger; Catalina Mourgues; Rigi Thomas; Linda Chen; Ayyub Imtiaz; Ely Sibarium; Alyson M. Negreira; Elif Sarisik; Vasishta Polisetty; David Benrimoh; Andrew D. Sheldon; Chris Lim; Christoph Mathys; Albert R. Powers

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Neuroscience (Life Sciences)