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Accounting for the phenomenology and varieties of auditory verbal hallucination within a predictive processing framework

S. Wilkinson

Consciousness and Cognition October 3, 2014 DOI: 10.1016/j.concog.2014.09.002 (opens in new tab) via Semantic Scholar

Summary

AI-generated from the abstract

Auditory verbal hallucinations (AVHs) can be explained by a predictive processing framework that views them as arising from abnormalities in how the brain predicts sensory input. This approach accounts for both the auditory phenomenology of AVHs and their variety, including three distinct subtypes. The predictive processing framework addresses two challenges facing popular self-monitoring theories: explaining why AVHs are experienced as auditory events and why they take different forms.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Medicine Psychology
Key finding Argues that a predictive processing framework can account for both the auditory phenomenology of auditory verbal hallucinations and their variety across three subtypes.

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.

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