Deep brain stimulation (DBS) is an established therapy for movement disorders and shows promise for select neuropsychiatric disorders. Clinical outcomes of DBS rely on delivering stimulation to precise brain areas to modulate pathological neural activity to improve symptoms. However, for many DBS indications, how to target stimulation to best improve symptoms and the underlying mechanisms of DBS are unclear. In this presentation, I will discuss computational approaches used to study the potential mechanisms of DBS and determine how to optimally target stimulation to improve symptoms. In the first part of the talk, I will present our research on DBS for Tourette syndrome, a highly complex and debilitating disorder. We combined neuroimaging and computational models of DBS to identify specific brain networks and fiber pathways that predicted improvement in tics and obsessive-compulsive behaviors. In the second part, I will present our work on identifying physiological markers to guide DBS for Parkinson’s disease, particularly evoked resonant neural activity (ERNA) during pallidal DBS. I will show how ERNA follows a spatial topography in the pallidum and may be used to determine effective stimulation parameters for chronic therapy.
Posted by: Deb Zemek