Mathematical Identification of a Neuronal Network Consisting of GABA and DA in Striatal Slices of the Rat Brain. Issue 4 (2009)

• Record Type: Journal Article
• Authors: Ramrath, L.; Levering, J.; Conrad, M.; Thuemen, A.; Fuellgraf, H.; Moser, A.
• Is Part Of: Computational and mathematical methods in medicine. Volume 10:Issue 4(2009)
• Page Start: 273
• Page End: 285
• Publication Date: 2009
• Subjects: high frequency stimulation -- neural network -- analytical model -- striatum; Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1080/17486700802616526
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : High frequency stimulation (HFS) has been used to treat various neurological and psychiatric diseases. Although further disorders are under investigation to extend the clinical application of HFS, the complex effect of HFS within a neuronal network is still unknown. Thus, it would be desirable to find a theoretical model that allows an estimation of the expected effect of applied HFS. Based on the neurochemical analysis of effects of the γ-aminobutyric acid (GABA)A receptor antagonist bicuculline, the D2-like receptor antagonist sulpiride and the D1-like receptor antagonist SCH-23390 on HFS evoked GABA and dopamine (DA) release from striatal slices of the rat brain, a mathematical network model is proposed including the neurotransmitters GABA, DA and glutamate (GLU). The model reflects inhibitory and excitatory interactions of the neurotransmitters outflow in the presence of HFS. Under the assumption of linear interactions and static measurements, the model is expressed analytically. Numerical identification of inhibition and excitation is performed on a basis of real outflow levels of GABA and DA in the rat striatum. Results validate the nature of the proposed model. Therefore, this leads to an analytical model of the interactions within distinct neural network components of the rat striatum.