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Evidence of absence: no relationship between behaviourally measured prediction error response and schizotypy

Humpston, Clara S.; Evans, Lisa H.; Teufel, Christoph; Ihssen, Niklas; Linden, David E.J.

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Authors

Clara S. Humpston

Lisa H. Evans

Christoph Teufel

David E.J. Linden



Abstract

Introduction: The predictive processing framework has attracted much interest in the field of schizophrenia research in recent years, with an increasing number of studies also carried out in healthy individuals with nonclinical psychosis-like experiences. The current research adopted a continuum approach to psychosis and aimed to investigate different types of prediction error responses in relation to psychometrically defined schizotypy. Methods: One hundred and two healthy volunteers underwent a battery of behavioural tasks including (a) a force-matching task, (b) a Kamin blocking task, and (c) a reversal learning task together with three questionnaires measuring domains of schizotypy from different approaches. Results: Neither frequentist nor Bayesian statistical methods supported the notion that alterations in prediction error responses were related to schizotypal traits in any of the three tasks. Conclusions: These null results suggest that deficits in predictive processing associated with clinical states of psychosis are not always present in healthy individuals with schizotypal traits.

Citation

Humpston, C. S., Evans, L. H., Teufel, C., Ihssen, N., & Linden, D. E. (2017). Evidence of absence: no relationship between behaviourally measured prediction error response and schizotypy. Cognitive Neuropsychiatry, 22(5), 373-390. https://doi.org/10.1080/13546805.2017.1348289

Journal Article Type Article
Acceptance Date Jun 22, 2017
Online Publication Date Jul 11, 2017
Publication Date Sep 3, 2017
Deposit Date Jul 12, 2017
Publicly Available Date Jul 12, 2017
Journal Cognitive Neuropsychiatry
Print ISSN 1354-6805
Electronic ISSN 1464-0619
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 22
Issue 5
Pages 373-390
DOI https://doi.org/10.1080/13546805.2017.1348289

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Advance online version © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/
licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.





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