Psychopathology

Original Paper

Recognition of Hallucinations: A New Multidimensional Model Methodology

Chen E. · Berrios G.E.

Author affiliations

University of Cambridge, Department of Psychiatry, Addenbrooke’s Hospital, Cambridge, UK

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Psychopathology 1996;29:54–63

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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Published online: February 10, 2010
Issue release date: 1996

Number of Print Pages: 10
Number of Figures: 0
Number of Tables: 0

ISSN: 0254-4962 (Print)
eISSN: 1423-033X (Online)

For additional information: https://www.karger.com/PSP

Abstract

Both from the clinical and mathematical perspectives, symptom recognition has received less attention than disease recognition. To redress this balance, it is imperative that multidimensional models are constructed for each and all mental symptoms. This paper offers one such model for ‘hallucinations,’ and a set of prototypical data comparing the performance of pattern recognition techniques (cluster and discriminant analyses) and neural networks (Kohonen and backpropagation). It is concluded that multidimensional models are less wasteful of information than (current) categorial ones. Because of this and of the fact that symptom structure is likely to be ‘isomorphic’ with the brain region where the corresponding signal is generated, it is recommended that multidimensional models are preferentially used in neurobiological research.

© 1996 S. Karger AG, Basel




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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Published online: February 10, 2010
Issue release date: 1996

Number of Print Pages: 10
Number of Figures: 0
Number of Tables: 0

ISSN: 0254-4962 (Print)
eISSN: 1423-033X (Online)

For additional information: https://www.karger.com/PSP


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