Literature DB >> 2010317

A psychobiological model of the pathogenesis of schizophrenic symptoms.

M Koukkou1, E Tremel, W Manske.   

Abstract

Schizophrenic symptoms are non-specific and are modifiable by unspecific drugs, by environmental input and 'spontaneously'. An information-theory-based model of their pathogenesis is presented. The model is based on data and theories which suggest memory-driven and state-dependent brain operations for the organization of human behavior in normal or in psychopathological states. The data are integrated in the concept of EEG-defined functional states of the brain with state-dependent information processing. The brain's functional state is multifactorially defined, reflects at each moment the memory storages accessible to the operations of information processing and is continuously readjusted to the demands made on the organism by current received information as estimated by the cerebral mechanisms of initiation of the orienting reaction and of its 'habituation'. Major conclusions of evoked potentials and of EEG-reactivity studies on information processing anomalies in schizophrenia integrated into the model suggest the following: schizophrenic symptoms reflect the behavioral manifestations of brain's information processes which have access to memory storages which contain mnemonic representations of skills and of cognitive-emotional coping strategies which are inadequate to recognize the age- and state-corresponding significance of the current information for the organism.

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Year:  1991        PMID: 2010317     DOI: 10.1016/0167-8760(91)90030-2

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  2 in total

1.  EEG reactivity in high and low symptomatic schizophrenics, using source modelling in the frequency domain.

Authors:  C M Michel; M Koukkou; D Lehmann
Journal:  Brain Topogr       Date:  1993       Impact factor: 3.020

2.  EEG reactivity and EEG activity in never-treated acute schizophrenics, measured with spectral parameters and dimensional complexity.

Authors:  M Koukkou; D Lehmann; A Federspiel; M C Merlo
Journal:  J Neural Transm Gen Sect       Date:  1995
  2 in total

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