Dopamine is a neuromodulator in the striatum of the basal ganglia. It plays a role in reward-related learning and motivation (Pan et al., 2005; Pan et al., 2008; Hamid et al., 2016). In Parkinson’s disease many neurons that release dopamine in the striatum die, which leads to severe motor symptoms. Addictive drugs (e.g. cocaine, amphetamine) strongly affect dopamine signalling in the striatum.

We are trying to find out how dopamine acts on neurons in the striatum and on their inputs from cortex and thalamus. To do so, we use a variety of computational models. For example, we simulate the growth of axonal trees of dopaminergic neurons in the striatum (Figure 1).

Figure 1: Simulated axonal tree of a dopamine neuron (Hunger and Schmidt, unpublished).

Figure 1: Simulated axonal tree of a dopamine neuron (Hunger and Schmidt, unpublished).

Based on such axonal trees we can then determine release sites from which dopamine is released into the extracellular space in the striatum. We have simulated how the released dopamine then diffuses in a 3D cube of striatal tissue over time. Figure 2 shows a 2D snapshot (i.e. a slice of striatum) at one time point, with the yellow blobs showing areas with a lot of dopamine.

Figure 2: Simulation of dopamine diffusion in the striatum (Hunger and Schmidt, unpublished). The black dots mark dopamine release sites.

Figure 2: Simulation of dopamine diffusion in the striatum (Hunger and Schmidt, unpublished). The black dots mark dopamine release sites.

We use these simulations to find out how activity of dopamine neurons affects the concentration of dopamine in the striatum. Is the amount of dopamine very homogeneous across the striatum or are there temporal and spatial patterns?

Furthermore, we can simulate Parkinson’s disease by removing axons from the simulation. This might yield important insights into impaired dopamine signalling underlying some of the motor symptoms of the disease.

Finally, we can also simulate the effect of various drugs. For example, cocaine reduces the re-uptake of dopamine, which increases the overall dopamine concentration.


Publications

    2020

  • Abundance Compensates Kinetics: Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations
    Hunger, L., Kumar, A., & Schmidt, R.
    The Journal of Neuroscience, 40(14), 2868–2881

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

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