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Clustered Desynchronization from High-Frequency Deep Brain Stimulation

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...

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Detalles Bibliográficos
Autores principales: Wilson, Dan, Moehlis, Jeff
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694718/
https://www.ncbi.nlm.nih.gov/pubmed/26713619
http://dx.doi.org/10.1371/journal.pcbi.1004673
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author Wilson, Dan
Moehlis, Jeff
author_facet Wilson, Dan
Moehlis, Jeff
author_sort Wilson, Dan
collection PubMed
description 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.
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spelling pubmed-46947182016-01-13 Clustered Desynchronization from High-Frequency Deep Brain Stimulation Wilson, Dan Moehlis, Jeff PLoS Comput Biol Research Article 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. Public Library of Science 2015-12-29 /pmc/articles/PMC4694718/ /pubmed/26713619 http://dx.doi.org/10.1371/journal.pcbi.1004673 Text en © 2015 Wilson, Moehlis http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wilson, Dan
Moehlis, Jeff
Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title_full Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title_fullStr Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title_full_unstemmed Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title_short Clustered Desynchronization from High-Frequency Deep Brain Stimulation
title_sort clustered desynchronization from high-frequency deep brain stimulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694718/
https://www.ncbi.nlm.nih.gov/pubmed/26713619
http://dx.doi.org/10.1371/journal.pcbi.1004673
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