S. Wilkinson
Accounting for the phenomenology and varieties of auditory verbal hallucination within a predictive processing framework
Wilkinson, S.
Authors
Abstract
Two challenges that face popular self-monitoring theories (SMTs) of auditory verbal hallucination (AVH) are that they cannot account for the auditory phenomenology of AVHs and that they cannot account for their variety. In this paper I show that both challenges can be met by adopting a predictive processing framework (PPF), and by viewing AVHs as arising from abnormalities in predictive processing. I show how, within the PPF, both the auditory phenomenology of AVHs, and three subtypes of AVH, can be accounted for.
Citation
Wilkinson, S. (2014). Accounting for the phenomenology and varieties of auditory verbal hallucination within a predictive processing framework. Consciousness and Cognition, 30, 142-155. https://doi.org/10.1016/j.concog.2014.09.002
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 2, 2014 |
Publication Date | Nov 1, 2014 |
Deposit Date | Jun 4, 2015 |
Publicly Available Date | Mar 29, 2024 |
Journal | Consciousness and Cognition |
Print ISSN | 1053-8100 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 30 |
Pages | 142-155 |
DOI | https://doi.org/10.1016/j.concog.2014.09.002 |
Keywords | Auditory-verbal hallucination, Psychosis, Schizophrenia, Predictive processing. |
Files
Published Journal Article
(354 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
Copyright Statement
© 2014 The Author. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
You might also like
The Representation of Agents in Auditory Verbal Hallucinations
(2016)
Journal Article
How anxiety induces verbal hallucinations
(2015)
Journal Article
Voices and Thoughts in Psychosis: An Introduction
(2015)
Journal Article
A Mental Files Approach to Delusional Misidentification
(2015)
Journal Article
Forward models and passive psychotic symptoms
(2015)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search