University of Twente Student Theses


Simulation of the Stop Signal Test in a Basal Ganglia Model

Keizers, T. (2023) Simulation of the Stop Signal Test in a Basal Ganglia Model.

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Abstract:arkinson’s Disease is a debilitating neuro-degenerative disorder which has a major impact on patients and their quality of life. The main pathological feature is the loss of dopaminergic neurons in the Basal Ganglia. Action selection and response inhibition two functions of the BG and also affected over the course of disease progression. It is possible to quantify response inhibition via the use of the Stop Signal Test, where PD patients show significant differences when compared to age matched controls. The goal of this paper is to create a model of the BG capable of simulating the Stop Signal Test. The model included several populations of the BG modelled as a set of spiking Izhikevic neurons with connectivity between populations. The Reaction Times and Stop Signal Reaction Times were compared between a normal and parkinsonian condition. The results indicate that there is a significant difference between the RT of the two conditions, 262.8ms vs. 274.8ms, p = 0.04. There was no significant difference between the SSRTs of two conditions.
Item Type:Essay (Master)
Faculty:TNW: Science and Technology
Subject:44 medicine
Programme:Biomedical Engineering MSc (66226)
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