Authors: Zach Weisblatt, Dr. Erin Patrick, Stephanie Cernera, Joshua Wong
Faculty Mentor: Dr. Erin Patrick
College: Herbert Wertheim College of Engineering
Deep Brain Stimulation (DBS) is a proven neuromodular therapy for the treatment of select neurological disorders such as essential tremor (ET) and Parkinson’s Disease. However, the inherent risk and invasive nature of brain surgery, required for implanting DBS electrode leads, has motivated the search for safer, non-invasive methods of deep neural electrical stimulation. Recent works have suggested Temporal Interference (TI) stimulation as an emerging solution: high-frequency stimulus from two electrodes placed on the exterior of the scalp, intended to create a low-frequency interference pattern for a small region of neurons deep in the brain. Though this novel stimulus alternative could revolutionize neuromodular therapy, the underlying biophysics that enable this phenomenon are yet to be fully understood. This paper seeks to investigate the biophysical mechanisms of action responsible for TI stimulation through a computational modeling approach. We will demonstrate neural activation responses that follow the envelope of temporal interference stimulation for constant-diameter single fiber neurons, as well as for spatially mapped fiber tracts from select ET patient data.