Literature DB >> 31257444

Acquisition of visual priors and induced hallucinations in chronic schizophrenia.

Vincent Valton1,2,3, Povilas Karvelis1, Katie L Richards2, Aaron R Seitz4, Stephen M Lawrie2,5, Peggy Seriès1.   

Abstract

Prominent theories suggest that symptoms of schizophrenia stem from learning deficiencies resulting in distorted internal models of the world. To test these theories further, we used a visual statistical learning task known to induce rapid implicit learning of the stimulus statistics. In this task, participants are presented with a field of coherently moving dots and are asked to report the presented direction of the dots (estimation task), and whether they saw any dots or not (detection task). Two of the directions were more frequently presented than the others. In controls, the implicit acquisition of the stimuli statistics influences their perception in two ways: (i) motion directions are perceived as being more similar to the most frequently presented directions than they really are (estimation biases); and (ii) in the absence of stimuli, participants sometimes report perceiving the most frequently presented directions (a form of hallucinations). Such behaviour is consistent with probabilistic inference, i.e. combining learnt perceptual priors with sensory evidence. We investigated whether patients with chronic, stable, treated schizophrenia (n = 20) differ from controls (n = 23) in the acquisition of the perceptual priors and/or their influence on perception. We found that although patients were slower than controls, they showed comparable acquisition of perceptual priors, approximating the stimulus statistics. This suggests that patients have no statistical learning deficits in our task. This may reflect our patients' relative wellbeing on antipsychotic medication. Intriguingly, however, patients experienced significantly fewer (P = 0.016) hallucinations of the most frequently presented directions than controls when the stimulus was absent or when it was very weak (prior-based lapse estimations). This suggests that prior expectations had less influence on patients' perception than on controls when stimuli were absent or below perceptual threshold.
© The Author(s) (2019). 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:  Bayes; hallucinations; inference; schizophrenia; statistical learning

Mesh:

Year:  2019        PMID: 31257444      PMCID: PMC6734996          DOI: 10.1093/brain/awz171

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


  60 in total

1.  The Bayesian brain: the role of uncertainty in neural coding and computation.

Authors:  David C Knill; Alexandre Pouget
Journal:  Trends Neurosci       Date:  2004-12       Impact factor: 13.837

2.  Jumping to conclusions and paranoid ideation in the general population.

Authors:  Daniel Freeman; Katherine Pugh; Philippa Garety
Journal:  Schizophr Res       Date:  2008-04-28       Impact factor: 4.939

3.  Implicit learning of non-spatial sequences in schizophrenia.

Authors:  Cherie L Marvel; Barbara L Schwartz; Darlene V Howard; James H Howard
Journal:  J Int Neuropsychol Soc       Date:  2005-10       Impact factor: 2.892

4.  Reduced perception of the motion-induced blindness illusion in schizophrenia.

Authors:  Wolfgang Tschacher; Daniela Schuler; Ulrich Junghan
Journal:  Schizophr Res       Date:  2005-10-21       Impact factor: 4.939

5.  Schizophrenics know more than they can tell: probabilistic classification learning in schizophrenia.

Authors:  S Kéri; O Kelemen; G Szekeres; N Bagóczky; R Erdélyi; A Antal; G Benedek; Z Janka
Journal:  Psychol Med       Date:  2000-01       Impact factor: 7.723

6.  Intact implicit learning in schizophrenia.

Authors:  J M Danion; T Meulemans; F Kauffmann-Muller; H Vermaat
Journal:  Am J Psychiatry       Date:  2001-06       Impact factor: 18.112

Review 7.  Contrast sensitivity and magnocellular functioning in schizophrenia.

Authors:  Bernt C Skottun; John R Skoyles
Journal:  Vision Res       Date:  2007-09-06       Impact factor: 1.886

8.  Noise characteristics and prior expectations in human visual speed perception.

Authors:  Alan A Stocker; Eero P Simoncelli
Journal:  Nat Neurosci       Date:  2006-03-19       Impact factor: 24.884

Review 9.  Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia.

Authors:  Paul C Fletcher; Chris D Frith
Journal:  Nat Rev Neurosci       Date:  2008-12-03       Impact factor: 34.870

10.  Causal inference in multisensory perception.

Authors:  Konrad P Körding; Ulrik Beierholm; Wei Ji Ma; Steven Quartz; Joshua B Tenenbaum; Ladan Shams
Journal:  PLoS One       Date:  2007-09-26       Impact factor: 3.240

View more
  5 in total

1.  Dynamic functional connectivity and its anatomical substrate reveal treatment outcome in first-episode drug-naïve schizophrenia.

Authors:  Zhe Zhang; Kaiming Zhuo; Qiang Xiang; Yi Sun; John Suckling; Jinhong Wang; Dengtang Liu; Yu Sun
Journal:  Transl Psychiatry       Date:  2021-05-12       Impact factor: 6.222

2.  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

3.  Unification by Fiat: Arrested Development of Predictive Processing.

Authors:  Piotr Litwin; Marcin Miłkowski
Journal:  Cogn Sci       Date:  2020-07

4.  Perceptual inference, accuracy, and precision in temporal reproduction in schizophrenia.

Authors:  Natsuki Ueda; Kanji Tanaka; Kazushi Maruo; Neil Roach; Tomiki Sumiyoshi; Katsumi Watanabe; Takashi Hanakawa
Journal:  Schizophr Res Cogn       Date:  2021-12-13

Review 5.  The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis.

Authors:  J Haarsma; P Kok; M Browning
Journal:  Schizophr Res       Date:  2020-11-13       Impact factor: 4.662

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.