Modeling Neural Circuits in Parkinson’s Disease

Parkinson’s disease is one of the most customary neurodegenerative defects in this age. A lot of motor symptoms appear in the patient as well as other non-motor symptoms. Unfortunately, the reason for Parkinson is not known yet. Therefore, to know more about this neurodegenerative disease we will discuss some types of models for the brain’s neural circuits, The infection of these neural circuits can predict or declare some reasons for Parkinson’s disease. First, we start with the anatomical models, we talk about the classical model which describes the way dopamine contributes to motor input and how the forfeiture of midbrain dopamine leads to the motor symptoms of Parkinson. Then, we discuss the parallel circuit model which depicts how information progress through basal ganglia. At last, we discuss the center-surround model which provides information about how basal output controls motor deficits. We then talk about in vitro models, in which we talk about cell lines (SH-5YSY, LUHMES, andPCL2), firstly. Then, we discuss the rodent models and both types try to mimic the behavior of neural circuits during Parkinson. At the end we discuss some computational models: MLP model which provides key role for neural circuits of Parkinson’s disease, another model for dopamine neuron loss on dopaminergic concentrations and D1 and D2 signaling, and then, Izhikevich neuron model which shows the interactions between substantia nigra pars compacta and subthalamic nucleus. After that, we discuss a model about Parkinson neural oscillation mechanism. At last, we discuss the use of dynamic casual modeling in describing Parkinson.