Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients

Authors:
Ioannis Kahramanoglou;Stavros Perantonis;Nikolaos Smyrnis;Ioannis Evdokimidis;Vassilis Cutsuridis
Affiliations:
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", Athens, GR-15310;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", Athens, GR-15310;Cognition and Action Group, Neurology Department, National University of Athens, Aeginition Hospital, Athens GR-11528;Cognition and Action Group, Neurology Department, National University of Athens, Aeginition Hospital, Athens GR-11528;Department of Computing Science and Mathematics, University of Stirling, Stirling, U.K. FK9 4LA
Venue:
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Year:
2008

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Abstract

In the antisaccade task, subjects are instructed to look in the opposite direction of a visually presented stimulus. Controls can perform this task successfully with very few errors, whereas schizophrenia patients make more errors and their responses are slower and more variable. It has been proposed the fundamental cognitive dysfunction in schizophrenia involves prefrontal dopaminergic hypoactivity. We examine via computer simulations the effects of dopamine on the variability of aSRTs in a neural cortico-collicular accumulator model with stochastic climbing activity. We report the simulated aSRTs for the hypo-DA level have higher standard deviation and mean values than in the normal and hyper DA level. The simulated higher mean and standard deviation for the hypo-DA group resemble the performance differences in the antisaccade task observed in patients with schizophrenia and are in accordance with the theory of a hypo-DA state in the frontal cortical areas of patients with schizophrenia.