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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4694718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wilsondan clustereddesynchronizationfromhighfrequencydeepbrainstimulation AT moehlisjeff clustereddesynchronizationfromhighfrequencydeepbrainstimulation |