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Coordinated reset stimulation in a large-scale model of the STN-GPe circuit
Synchronization of populations of neurons is a hallmark of several brain diseases. Coordinated reset (CR) stimulation is a model-based stimulation technique which specifically counteracts abnormal synchrony by desynchronization. Electrical CR stimulation, e.g., for the treatment of Parkinson's...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245901/ https://www.ncbi.nlm.nih.gov/pubmed/25505882 http://dx.doi.org/10.3389/fncom.2014.00154 |
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author | Ebert, Martin Hauptmann, Christian Tass, Peter A. |
author_facet | Ebert, Martin Hauptmann, Christian Tass, Peter A. |
author_sort | Ebert, Martin |
collection | PubMed |
description | Synchronization of populations of neurons is a hallmark of several brain diseases. Coordinated reset (CR) stimulation is a model-based stimulation technique which specifically counteracts abnormal synchrony by desynchronization. Electrical CR stimulation, e.g., for the treatment of Parkinson's disease (PD), is administered via depth electrodes. In order to get a deeper understanding of this technique, we extended the top-down approach of previous studies and constructed a large-scale computational model of the respective brain areas. Furthermore, we took into account the spatial anatomical properties of the simulated brain structures and incorporated a detailed numerical representation of 2 · 10(4) simulated neurons. We simulated the subthalamic nucleus (STN) and the globus pallidus externus (GPe). Connections within the STN were governed by spike-timing dependent plasticity (STDP). In this way, we modeled the physiological and pathological activity of the considered brain structures. In particular, we investigated how plasticity could be exploited and how the model could be shifted from strongly synchronized (pathological) activity to strongly desynchronized (healthy) activity of the neuronal populations via CR stimulation of the STN neurons. Furthermore, we investigated the impact of specific stimulation parameters especially the electrode position on the stimulation outcome. Our model provides a step forward toward a biophysically realistic model of the brain areas relevant to the emergence of pathological neuronal activity in PD. Furthermore, our model constitutes a test bench for the optimization of both stimulation parameters and novel electrode geometries for efficient CR stimulation. |
format | Online Article Text |
id | pubmed-4245901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42459012014-12-11 Coordinated reset stimulation in a large-scale model of the STN-GPe circuit Ebert, Martin Hauptmann, Christian Tass, Peter A. Front Comput Neurosci Neuroscience Synchronization of populations of neurons is a hallmark of several brain diseases. Coordinated reset (CR) stimulation is a model-based stimulation technique which specifically counteracts abnormal synchrony by desynchronization. Electrical CR stimulation, e.g., for the treatment of Parkinson's disease (PD), is administered via depth electrodes. In order to get a deeper understanding of this technique, we extended the top-down approach of previous studies and constructed a large-scale computational model of the respective brain areas. Furthermore, we took into account the spatial anatomical properties of the simulated brain structures and incorporated a detailed numerical representation of 2 · 10(4) simulated neurons. We simulated the subthalamic nucleus (STN) and the globus pallidus externus (GPe). Connections within the STN were governed by spike-timing dependent plasticity (STDP). In this way, we modeled the physiological and pathological activity of the considered brain structures. In particular, we investigated how plasticity could be exploited and how the model could be shifted from strongly synchronized (pathological) activity to strongly desynchronized (healthy) activity of the neuronal populations via CR stimulation of the STN neurons. Furthermore, we investigated the impact of specific stimulation parameters especially the electrode position on the stimulation outcome. Our model provides a step forward toward a biophysically realistic model of the brain areas relevant to the emergence of pathological neuronal activity in PD. Furthermore, our model constitutes a test bench for the optimization of both stimulation parameters and novel electrode geometries for efficient CR stimulation. Frontiers Media S.A. 2014-11-27 /pmc/articles/PMC4245901/ /pubmed/25505882 http://dx.doi.org/10.3389/fncom.2014.00154 Text en Copyright © 2014 Ebert, Hauptmann and Tass. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ebert, Martin Hauptmann, Christian Tass, Peter A. Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title | Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title_full | Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title_fullStr | Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title_full_unstemmed | Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title_short | Coordinated reset stimulation in a large-scale model of the STN-GPe circuit |
title_sort | coordinated reset stimulation in a large-scale model of the stn-gpe circuit |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245901/ https://www.ncbi.nlm.nih.gov/pubmed/25505882 http://dx.doi.org/10.3389/fncom.2014.00154 |
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