TOWARDS CLOSED-LOOP STIMULATION FOR TREATMENT OF PARKINSON’S DISEASE

Open Access
Author:
Gorzelic, Patrick
Area of Honors:
Mechanical Engineering
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
  • Alok Sinha, Thesis Supervisor
  • Steven Schiff, Thesis Supervisor
  • Matthew M Mench, Honors Advisor
Keywords:
  • Feedback Control
Abstract:
Treatment of Parkinson’s Disease (PD) via deep brain stimulation (DBS) has gained much attention in recent years. The treatment uses a surgically implanted electrode to excite selected areas of a patient’s brain with electronic stimulation, often yielding drastic improvements in PD symptoms. The method of stimulation is a simple one; the patient’s subthalamic nucleus (STN) or internal segment of the globus pallidus (GPi) is subjected to a constant barrage of high frequency pulses, warranting continuous spiking activity of the area. Until this point, no other method of stimulation has been shown to work in practice. This work examines the possibility of using a less constant, more energy-efficient stimulation pattern, wherein the stimulation waveform is not simply pre-programmed for all time; it is calculated continuously through use of model-based feedback control. Specifically, a computational model of a neuronal network that plays a key role in the emergence of PD symptoms is employed to simulate the activity of the brain under the influence of feedback-controlled stimulation. Two control strategies are developed, and the results of each are presented and discussed. Important aspects pertaining to general simulation-based neuronal control that arise throughout the research are also commented on.