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Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations
The excess of 15-30 Hz (β-band) oscillations in the basal ganglia is one of the key signatures of Parkinson’s disease (PD). The STN-GPe network is integral to generation and modulation of β band oscillations in basal ganglia. However, the role of changes in the firing rates and spike bursting of STN...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145269/ https://www.ncbi.nlm.nih.gov/pubmed/32226014 http://dx.doi.org/10.1371/journal.pcbi.1007748 |
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author | Bahuguna, Jyotika Sahasranamam, Ajith Kumar, Arvind |
author_facet | Bahuguna, Jyotika Sahasranamam, Ajith Kumar, Arvind |
author_sort | Bahuguna, Jyotika |
collection | PubMed |
description | The excess of 15-30 Hz (β-band) oscillations in the basal ganglia is one of the key signatures of Parkinson’s disease (PD). The STN-GPe network is integral to generation and modulation of β band oscillations in basal ganglia. However, the role of changes in the firing rates and spike bursting of STN and GPe neurons in shaping these oscillations has remained unclear. In order to uncouple their effects, we studied the dynamics of STN-GPe network using numerical simulations. In particular, we used a neuron model, in which firing rates and spike bursting can be independently controlled. Using this model, we found that while STN firing rate is predictive of oscillations, GPe firing rate is not. The effect of spike bursting in STN and GPe neurons was state-dependent. That is, only when the network was operating in a state close to the border of oscillatory and non-oscillatory regimes, spike bursting had a qualitative effect on the β band oscillations. In these network states, an increase in GPe bursting enhanced the oscillations whereas an equivalent proportion of spike bursting in STN suppressed the oscillations. These results provide new insights into the mechanisms underlying the transient β bursts and how duration and power of β band oscillations may be controlled by an interplay of GPe and STN firing rates and spike bursts. |
format | Online Article Text |
id | pubmed-7145269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71452692020-04-21 Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations Bahuguna, Jyotika Sahasranamam, Ajith Kumar, Arvind PLoS Comput Biol Research Article The excess of 15-30 Hz (β-band) oscillations in the basal ganglia is one of the key signatures of Parkinson’s disease (PD). The STN-GPe network is integral to generation and modulation of β band oscillations in basal ganglia. However, the role of changes in the firing rates and spike bursting of STN and GPe neurons in shaping these oscillations has remained unclear. In order to uncouple their effects, we studied the dynamics of STN-GPe network using numerical simulations. In particular, we used a neuron model, in which firing rates and spike bursting can be independently controlled. Using this model, we found that while STN firing rate is predictive of oscillations, GPe firing rate is not. The effect of spike bursting in STN and GPe neurons was state-dependent. That is, only when the network was operating in a state close to the border of oscillatory and non-oscillatory regimes, spike bursting had a qualitative effect on the β band oscillations. In these network states, an increase in GPe bursting enhanced the oscillations whereas an equivalent proportion of spike bursting in STN suppressed the oscillations. These results provide new insights into the mechanisms underlying the transient β bursts and how duration and power of β band oscillations may be controlled by an interplay of GPe and STN firing rates and spike bursts. Public Library of Science 2020-03-30 /pmc/articles/PMC7145269/ /pubmed/32226014 http://dx.doi.org/10.1371/journal.pcbi.1007748 Text en © 2020 Bahuguna et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bahuguna, Jyotika Sahasranamam, Ajith Kumar, Arvind Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title | Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title_full | Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title_fullStr | Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title_full_unstemmed | Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title_short | Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations |
title_sort | uncoupling the roles of firing rates and spike bursts in shaping the stn-gpe beta band oscillations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145269/ https://www.ncbi.nlm.nih.gov/pubmed/32226014 http://dx.doi.org/10.1371/journal.pcbi.1007748 |
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