Optimizing closed-loop stimulation sequences to control beta band oscillations in Parkinson’s disease.
Hafsa Farooqi, Ph.D., Department of Biomedical Engineering. Mentor is Theoden Netoff, Ph.D., Biomedical Engineering.
Dr. Farooqi's project aims to develop neural control systems with the precision and temporal specificity critical to characterizing the role of oscillatory dynamics in brain function. Using a closed-loop evoked-interference deep brain stimulation (iDBS) will optimally suppress or amplify oscillations in the subthalamic nucleus (STN) or globus pallidus (GPi) with varying amplitude and frequency in real-time. This is essential to advance the development of personalized DBS systems for Parkinson’s disease and other brain conditions.