Integrating Control Theory and EEG Data Analysis for Advancing Parkinson’s Disease Research

Maryam Kiakojouri, PhD student – University of Lethbridge

Supervisor: Dr Artur Luczak

Hosting lab: Martin McKeown, Professor, McKeown Laboratory Pacific Parkinson’s Research Centre Division of Neurology | Department of Medicine | Faculty of Medicine, University of British Columbia

Project Description: Our project, a collaboration with the Pacific Parkinson Research Centre (PPRC) at The University of British Columbia, pioneers innovative strategies to enhance motor behavior in Parkinson’s patients through Electrical Vestibular Stimulation (EVS). We aim to leverage Control Theory and EEG data analysis to optimize brain stimulation protocols tailored to individual subjects, thereby maximizing intervention efficacy. The student will focus on analyzing EEG data collected from Parkinson’s patients, employing Koopman operator theory, a mathematical method to provide a linear representation of nonlinear dynamics. By applying deep-learning-based Koopman models and utilizing dynamical system theory concepts and advanced control theory techniques, we seek to identify optimal stimulation inputs for improving motor behavior. This interdisciplinary endeavor involves close collaboration with neuroscientists, engineers, and clinicians to design, execute, and analyze experiments. Through active participation in multidisciplinary teams and presentation of findings at relevant conferences, the student will contribute to advancing our understanding and treatment of Parkinson’s disease.