23 May 2023
09:30 - 11:00 AM
hybrid (virtually via zoom and in person in 4KD505)
Internal KCN: Technical Review of Deep Brain Stimulation Impact on Single Neurons in Silico
Topic: Deep brain stimulation is a well-established treatment for a variety of disorders and diseases, such as Parkinson's disease. The efficacy of deep brain stimulation is often monitored through local field potentials. How deep brain stimulation directly engages these tissues is not well understood. In silico models have served well to supplement that which cannot be experimented readily in humans. In silico models approximate the impact of deep brain stimulation in two major ways, a direct current injection, or a spatially integrated signal dependent on the conductance-based integration of extracellular potential. The latter is used in detailed models of neuronal circuits that integrate morphological detail, and still are divided into two major means of approximating this extracellular potential. Here we investigate and compare the current methods used to approximate this extracellular potential as well as how it impacts the produced approximation of local field potentials.