Literature DB >> 33434284

All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs.

Matthew R Nassar1,2, James A Waltz3, Matthew A Albrecht4, James M Gold3, Michael J Frank1,5.   

Abstract

Schizophrenia is characterized by abnormal perceptions and beliefs, but the computational mechanisms through which these abnormalities emerge remain unclear. One prominent hypothesis asserts that such abnormalities result from overly precise representations of prior knowledge, which in turn lead beliefs to become insensitive to feedback. In contrast, another prominent hypothesis asserts that such abnormalities result from a tendency to interpret prediction errors as indicating meaningful change, leading to the assignment of aberrant salience to noisy or misleading information. Here we examine behaviour of patients and control subjects in a behavioural paradigm capable of adjudicating between these competing hypotheses and characterizing belief updates directly on individual trials. We show that patients are more prone to completely ignoring new information and perseverating on previous responses, but when they do update, tend to do so completely. This updating strategy limits the integration of information over time, reducing both the flexibility and precision of beliefs and provides a potential explanation for how patients could simultaneously show over-sensitivity and under-sensitivity to feedback in different paradigms.
© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  belief updating; computational psychiatry; learning; schizophrenia

Mesh:

Year:  2021        PMID: 33434284      PMCID: PMC8041039          DOI: 10.1093/brain/awaa453

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  33 in total

1.  Functionally dissociable influences on learning rate in a dynamic environment.

Authors:  Joseph T McGuire; Matthew R Nassar; Joshua I Gold; Joseph W Kable
Journal:  Neuron       Date:  2014-11-19       Impact factor: 17.173

2.  A distinct inferential mechanism for delusions in schizophrenia.

Authors:  Seth C Baker; Anna B Konova; Nathaniel D Daw; Guillermo Horga
Journal:  Brain       Date:  2019-06-01       Impact factor: 13.501

3.  Estimating changing contexts in schizophrenia.

Authors:  Claire M Kaplan; Debjani Saha; Juan L Molina; William D Hockeimer; Elizabeth M Postell; Jose A Apud; Daniel R Weinberger; Hao Yang Tan
Journal:  Brain       Date:  2016-05-23       Impact factor: 13.501

4.  Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia.

Authors:  Anne G E Collins; Matthew A Albrecht; James A Waltz; James M Gold; Michael J Frank
Journal:  Biol Psychiatry       Date:  2017-05-31       Impact factor: 13.382

5.  An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment.

Authors:  Matthew R Nassar; Robert C Wilson; Benjamin Heasly; Joshua I Gold
Journal:  J Neurosci       Date:  2010-09-15       Impact factor: 6.167

Review 6.  Approaching a consensus cognitive battery for clinical trials in schizophrenia: the NIMH-MATRICS conference to select cognitive domains and test criteria.

Authors:  Michael F Green; Keith H Nuechterlein; James M Gold; Deanna M Barch; Jonathan Cohen; Susan Essock; Wayne S Fenton; Fred Frese; Terry E Goldberg; Robert K Heaton; Richard S E Keefe; Robert S Kern; Helena Kraemer; Ellen Stover; Daniel R Weinberger; Steven Zalcman; Stephen R Marder
Journal:  Biol Psychiatry       Date:  2004-09-01       Impact factor: 13.382

7.  Further evidence for dementia of the prefrontal type in schizophrenia? A controlled study of teaching the Wisconsin Card Sorting Test.

Authors:  T E Goldberg; D R Weinberger; K F Berman; N H Pliskin; M H Podd
Journal:  Arch Gen Psychiatry       Date:  1987-11

Review 8.  Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia.

Authors:  Shitij Kapur
Journal:  Am J Psychiatry       Date:  2003-01       Impact factor: 18.112

Review 9.  An integrative framework for perceptual disturbances in psychosis.

Authors:  Guillermo Horga; Anissa Abi-Dargham
Journal:  Nat Rev Neurosci       Date:  2019-12       Impact factor: 34.870

10.  Computational noise in reward-guided learning drives behavioral variability in volatile environments.

Authors:  Charles Findling; Vasilisa Skvortsova; Rémi Dromnelle; Stefano Palminteri; Valentin Wyart
Journal:  Nat Neurosci       Date:  2019-10-28       Impact factor: 24.884

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  4 in total

1.  Association Between Failures in Perceptual Updating and the Severity of Psychosis in Schizophrenia.

Authors:  Sonia Bansal; Gi-Yeul Bae; Benjamin M Robinson; Britta Hahn; James Waltz; Molly Erickson; Pantelis Leptourgos; Phillip Corlett; Steven J Luck; James M Gold
Journal:  JAMA Psychiatry       Date:  2022-02-01       Impact factor: 21.596

2.  Everything is connected: Inference and attractors in delusions.

Authors:  Rick A Adams; Peter Vincent; David Benrimoh; Karl J Friston; Thomas Parr
Journal:  Schizophr Res       Date:  2021-08-09       Impact factor: 4.662

3.  Adaptive Learning through Temporal Dynamics of State Representation.

Authors:  Niloufar Razmi; Matthew R Nassar
Journal:  J Neurosci       Date:  2022-02-01       Impact factor: 6.709

Review 4.  Models of Dynamic Belief Updating in Psychosis-A Review Across Different Computational Approaches.

Authors:  Teresa Katthagen; Sophie Fromm; Lara Wieland; Florian Schlagenhauf
Journal:  Front Psychiatry       Date:  2022-04-12       Impact factor: 5.435

  4 in total

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