A neural model of the loss of self in schizophrenia

Schizophrenia Bulletin
J G Taylor

Abstract

Numerous researchers have pointed out over the last decades that there is a loss of the sense of the inner self in schizophrenia. In particular, the illuminating article of Sass et al. gives an underpinning explanation of the disease along these lines in each of its 3 manifestations, with positive, negative, or disordered symptoms. The crucial component of the analysis of these researchers is that of various disturbances in ipseity (the ongoing sense of "being there" accompanying all conscious experience) that can occur for a sufferer, giving a framework with which to understand the disease. Such analyses of schizophrenia in terms of distortions of the self go back much earlier. However, the more recent work has become more precise and embracing in terms of seeing most forms of schizophrenia as arising from such distortions. It also provides new ways of looking at and diagnosing the disease. In this article we propose to move the whole analysis closer into the brain itself by means of the CODAM neural network model of consciousness (where CODAM is an acronym for the "COrollary Discharge of Attention Movement" model of consciousness creation, to be described later). This allows both a mechanism to be formulated as to the basic b...Continue Reading

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Citations

Oct 31, 2015·Schizophrenia Research·Juan P Borda, Louis A Sass
Nov 4, 2015·Frontiers in Human Neuroscience·Mingjun DuanDezhong Yao
Mar 6, 2015·Reviews in the Neurosciences·Tereza Touskova, Petr Bob
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Mar 5, 2013·Consciousness and Cognition·Louis A SassNick Medford
Jun 19, 2013·Consciousness and Cognition·Louis A SassBarnaby Nelson
Jan 24, 2012·Consciousness and Cognition·J G Taylor
Sep 6, 2014·Frontiers in Human Neuroscience·Thilo HinterbergerKlaus Blaser
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Jul 17, 2019·Schizophrenia Research·Luis MadeiraLouis A Sass

Related Concepts

Mental Concentration
Brain
Conscious
Neural Networks (Anatomic)
Memory for Designs Test
Schizophrenia
Schizophrenic Psychology
Attention
Patient Discharge
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