Original Article
Neuropsychopharmacology (2007) 32, 54–66. doi:10.1038/sj.npp.1301086; published online 10 May 2006
Preclinical Research
Linking Animal Models of Psychosis to Computational Models of Dopamine Function
Andrew J Smith1, Ming Li2, Suzanna Becker3 and Shitij Kapur4
- 1Bentley Heath, Solihull, West Midlands, UK
- 2Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- 3Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
- 4Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
Correspondence: Dr S Kapur, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada. E-mail: andys_kathmandu@yahoo.com
Received 30 September 2005; Revised 8 March 2006; Accepted 9 March 2006; Published online 10 May 2006.
Abstract
Psychosis is linked to dysregulation of the neuromodulator dopamine and antipsychotic drugs (APDs) work by blocking dopamine receptors. Dopamine-modulated disruption of latent inhibition (LI) and conditioned avoidance response (CAR) have served as standard animal models of psychosis and antipsychotic action, respectively. Meanwhile, the 'temporal difference' algorithm (TD) has emerged as the leading computational model of dopamine neuron firing. In this report TD is extended to include action at the level of dopamine receptors in order to explain a number of behavioral phenomena including the dose-dependent disruption of CAR by APDs, the temporal dissociation of the effects of APDs on receptors vs behavior, the facilitation of LI by APDs, and the disruption of LI by amphetamine. The model also predicts an APD-induced change to the latency profile of CAR—a novel prediction that is verified experimentally. The model's primary contribution is to link dopamine neuron firing, receptor manipulation, and behavior within a common formal framework that may offer insights into clinical observations.
Keywords:
dopamine, temporal difference learning, psychosis, conditioned avoidance, latent inhibition, computational modeling
MORE ARTICLES LIKE THIS
These links to content published by NPG are automatically generated
RESEARCH
Linking Animal Models of Psychosis to Computational Models of Dopamine Function
Neuropsychopharmacology Original Article
Substantia nigra/ventral tegmental reward prediction error disruption in psychosis
Molecular Psychiatry Original Article
Substantia nigra/ventral tegmental reward prediction error disruption in psychosis
Molecular Psychiatry Original Article
Time Course of the Antipsychotic Effect and the Underlying Behavioral Mechanisms
Neuropsychopharmacology Original Article

