title: Clustered Desynchronization from High-Frequency Deep Brain Stimulation.
abstract: While high-frequency deep brain stimulation is a well established treatment for Parkinson's disease, its underlying mechanisms remain elusive. Here, we show that two competing hypotheses, desynchronization and entrainment in a population of model neurons, may not be mutually exclusive. We find that in a noisy group of phase oscillators, high frequency perturbations can separate the population into multiple clusters, each with a nearly identical proportion of the overall population. This phenomenon can be understood by studying maps of the underlying deterministic system and is guaranteed to be observed for small noise strengths. When we apply this framework to populations of Type I and Type II neurons, we observe clustered desynchronization at many pulsing frequencies.
authors.affiliation: Department of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, Calfornia, United States of America.
authors.forename: Dan
authors.initials: D
authors.lastname: Wilson
authors.affiliation: Department of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, Calfornia, United States of America.
authors.forename: Jeff
authors.initials: J
authors.lastname: Moehlis
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology; D003198:Computer Simulation; D003344:Cortical Synchronization / Q000502:physiology*; D046690:Deep Brain Stimulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D010300:Parkinson Disease; D013788:Thalamus / Q000166:cytology