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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...

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Detalles Bibliográficos
Autores principales: Bahuguna, Jyotika, Sahasranamam, Ajith, Kumar, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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.
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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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