Affiliations: [a] Department of Computer Science & Engineering and Information Technology, The NorthCap University, Gurgaon, Haryana, India. E-mail: email@example.com | [b] Department of Applied Sciences, The NorthCap University, Gurgaon, Haryana, India. E-mail: firstname.lastname@example.org | [c] Department of Physics, JIIT Noida, Uttar Pradesh, India. E-mail: email@example.com
Abstract: Parkinson disease alters the information patterns in movement related pathways in brain. Experimental results performed on rats show that the activity patterns changes from single spike activity to mixed burst mode in Parkinson disease. However the cause of this change in activity pattern is not yet completely understood. Subthalamic nucleus is one of the main nuclei involved in the origin of motor dysfunction in Parkinson disease. In this paper, a single compartment conductance based model is considered which focuses on subthalamic nucleus and synaptic input from globus pallidus (external). This model shows highly nonlinear behavior with respect to various intrinsic parameters. Behavior of model has been presented with the help of activity patterns generated in healthy and Parkinson condition. These patterns have been compared by calculating their correlation coefficient for different values of intrinsic parameters. Results display that the activity patterns are very sensitive to various intrinsic parameters and calcium shows some promising results which provide insights into the motor dysfunction.