Neural modelling of cognitive disinhibition and neurotransmitter dysfunction in OCD (original) (raw)

Abstract

In this paper an Elman recurrent neural network model of obsessive-compulsive disorder (OCD) is developed to provide a simulation of the relationship between the cognitive disinhibition and serotonin/dopamine dysfunction that characterize this disorder. Cognitive disinhibition in OCD is apparent when OCD patients are compared with other anxiety disorder patients on a Temporal Stroop test, with OCD patients showing reduced negative priming. Alterations of the color gain parameter, the context gain parameter, and maximum cycle number were made in order to simulate changes in monoamine neutransmitter function. The recurrent network model was able to simulate reduced cognitive inhibition as well as serotonergic and dopaminergic dysfunction in OCD.

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Authors and Affiliations

  1. Department of Computer Science, University of Stellenbosch, 7600, Stellenbosch, South Africa
    Jacques Ludik
  2. Department of Psychiatry, University of Stellenbosch, 7600, Stellenbosch, South Africa
    Dan J. Stein

Authors

  1. Jacques Ludik
  2. Dan J. Stein

Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Ludik, J., Stein, D.J. (1996). Neural modelling of cognitive disinhibition and neurotransmitter dysfunction in OCD. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5\_150

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