Multiple-time-scale framework for understanding the progression of Parkinson's disease

Autores
Andres, Daniela Sabrina; Gomez, F.; Ferrari, F.A.S.; Cerquetti, Daniel; Merello, Marcelo Jorge; Viana, R.; Stoop, R.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Parkinson's disease is marked by neurodegenerative processes that affect the pattern of discharge of basal ganglia neurons. The main features observed in the parkinsonian globus pallidus pars interna (GPi), a subdomain of the basal ganglia that is involved in the regulation of voluntary movement, are pathologically increased and synchronized neuronal activity. How these changes affect the implemented neuronal code is not well understood. Our experimental temporal structure-function analysis shows that in parkinsonian animals the rate-coding window of GPi neurons needed for the proper performance of voluntary actions is reduced. The model of the GPi network that we develop and discuss here reveals indeed that the size of the rate-coding window shrinks as the network activity increases and is expanded if the coupling strength among the neurons is increased. This leads to the novel interpretation that the pathological neuronal synchronization in Parkinson's disease in the GPi is the result of a collective attempt to counterbalance the shrinking of the rate-coding window due to increased activity in GPi neurons.
Fil: Andres, Daniela Sabrina. Swiss Federal Institute of Technology Zurich; Suiza. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gomez, F.. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Ferrari, F.A.S.. Swiss Federal Institute of Technology Zurich; Suiza. Universidade Federal do Paraná; Brasil
Fil: Cerquetti, Daniel. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina
Fil: Merello, Marcelo Jorge. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Viana, R.. Universidade Federal do Paraná; Brasil
Fil: Stoop, R.. Swiss Federal Institute of Technology Zurich; Suiza
Materia
Basal Ganglia Neurons
Globus Pallidus
Parkinson'S Disease
Rate-Coding
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/37104

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spelling Multiple-time-scale framework for understanding the progression of Parkinson's diseaseAndres, Daniela SabrinaGomez, F.Ferrari, F.A.S.Cerquetti, DanielMerello, Marcelo JorgeViana, R.Stoop, R.Basal Ganglia NeuronsGlobus PallidusParkinson'S DiseaseRate-Codinghttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Parkinson's disease is marked by neurodegenerative processes that affect the pattern of discharge of basal ganglia neurons. The main features observed in the parkinsonian globus pallidus pars interna (GPi), a subdomain of the basal ganglia that is involved in the regulation of voluntary movement, are pathologically increased and synchronized neuronal activity. How these changes affect the implemented neuronal code is not well understood. Our experimental temporal structure-function analysis shows that in parkinsonian animals the rate-coding window of GPi neurons needed for the proper performance of voluntary actions is reduced. The model of the GPi network that we develop and discuss here reveals indeed that the size of the rate-coding window shrinks as the network activity increases and is expanded if the coupling strength among the neurons is increased. This leads to the novel interpretation that the pathological neuronal synchronization in Parkinson's disease in the GPi is the result of a collective attempt to counterbalance the shrinking of the rate-coding window due to increased activity in GPi neurons.Fil: Andres, Daniela Sabrina. Swiss Federal Institute of Technology Zurich; Suiza. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gomez, F.. Swiss Federal Institute of Technology Zurich; SuizaFil: Ferrari, F.A.S.. Swiss Federal Institute of Technology Zurich; Suiza. Universidade Federal do Paraná; BrasilFil: Cerquetti, Daniel. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; ArgentinaFil: Merello, Marcelo Jorge. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Viana, R.. Universidade Federal do Paraná; BrasilFil: Stoop, R.. Swiss Federal Institute of Technology Zurich; SuizaAmerican Physical Society2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37104Andres, Daniela Sabrina; Gomez, F.; Ferrari, F.A.S.; Cerquetti, Daniel; Merello, Marcelo Jorge; et al.; Multiple-time-scale framework for understanding the progression of Parkinson's disease; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 6; 12-20141539-3755CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.90.062709info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.062709info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:31:30Zoai:ri.conicet.gov.ar:11336/37104instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:31:30.873CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multiple-time-scale framework for understanding the progression of Parkinson's disease
title Multiple-time-scale framework for understanding the progression of Parkinson's disease
spellingShingle Multiple-time-scale framework for understanding the progression of Parkinson's disease
Andres, Daniela Sabrina
Basal Ganglia Neurons
Globus Pallidus
Parkinson'S Disease
Rate-Coding
title_short Multiple-time-scale framework for understanding the progression of Parkinson's disease
title_full Multiple-time-scale framework for understanding the progression of Parkinson's disease
title_fullStr Multiple-time-scale framework for understanding the progression of Parkinson's disease
title_full_unstemmed Multiple-time-scale framework for understanding the progression of Parkinson's disease
title_sort Multiple-time-scale framework for understanding the progression of Parkinson's disease
dc.creator.none.fl_str_mv Andres, Daniela Sabrina
Gomez, F.
Ferrari, F.A.S.
Cerquetti, Daniel
Merello, Marcelo Jorge
Viana, R.
Stoop, R.
author Andres, Daniela Sabrina
author_facet Andres, Daniela Sabrina
Gomez, F.
Ferrari, F.A.S.
Cerquetti, Daniel
Merello, Marcelo Jorge
Viana, R.
Stoop, R.
author_role author
author2 Gomez, F.
Ferrari, F.A.S.
Cerquetti, Daniel
Merello, Marcelo Jorge
Viana, R.
Stoop, R.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Basal Ganglia Neurons
Globus Pallidus
Parkinson'S Disease
Rate-Coding
topic Basal Ganglia Neurons
Globus Pallidus
Parkinson'S Disease
Rate-Coding
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Parkinson's disease is marked by neurodegenerative processes that affect the pattern of discharge of basal ganglia neurons. The main features observed in the parkinsonian globus pallidus pars interna (GPi), a subdomain of the basal ganglia that is involved in the regulation of voluntary movement, are pathologically increased and synchronized neuronal activity. How these changes affect the implemented neuronal code is not well understood. Our experimental temporal structure-function analysis shows that in parkinsonian animals the rate-coding window of GPi neurons needed for the proper performance of voluntary actions is reduced. The model of the GPi network that we develop and discuss here reveals indeed that the size of the rate-coding window shrinks as the network activity increases and is expanded if the coupling strength among the neurons is increased. This leads to the novel interpretation that the pathological neuronal synchronization in Parkinson's disease in the GPi is the result of a collective attempt to counterbalance the shrinking of the rate-coding window due to increased activity in GPi neurons.
Fil: Andres, Daniela Sabrina. Swiss Federal Institute of Technology Zurich; Suiza. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gomez, F.. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Ferrari, F.A.S.. Swiss Federal Institute of Technology Zurich; Suiza. Universidade Federal do Paraná; Brasil
Fil: Cerquetti, Daniel. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina
Fil: Merello, Marcelo Jorge. Fundación para la Lucha Contra las Enfermedades Neurológicas de la Infancia. Instituto de Investigaciones Neurológicas ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Viana, R.. Universidade Federal do Paraná; Brasil
Fil: Stoop, R.. Swiss Federal Institute of Technology Zurich; Suiza
description Parkinson's disease is marked by neurodegenerative processes that affect the pattern of discharge of basal ganglia neurons. The main features observed in the parkinsonian globus pallidus pars interna (GPi), a subdomain of the basal ganglia that is involved in the regulation of voluntary movement, are pathologically increased and synchronized neuronal activity. How these changes affect the implemented neuronal code is not well understood. Our experimental temporal structure-function analysis shows that in parkinsonian animals the rate-coding window of GPi neurons needed for the proper performance of voluntary actions is reduced. The model of the GPi network that we develop and discuss here reveals indeed that the size of the rate-coding window shrinks as the network activity increases and is expanded if the coupling strength among the neurons is increased. This leads to the novel interpretation that the pathological neuronal synchronization in Parkinson's disease in the GPi is the result of a collective attempt to counterbalance the shrinking of the rate-coding window due to increased activity in GPi neurons.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/37104
Andres, Daniela Sabrina; Gomez, F.; Ferrari, F.A.S.; Cerquetti, Daniel; Merello, Marcelo Jorge; et al.; Multiple-time-scale framework for understanding the progression of Parkinson's disease; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 6; 12-2014
1539-3755
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37104
identifier_str_mv Andres, Daniela Sabrina; Gomez, F.; Ferrari, F.A.S.; Cerquetti, Daniel; Merello, Marcelo Jorge; et al.; Multiple-time-scale framework for understanding the progression of Parkinson's disease; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 6; 12-2014
1539-3755
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.90.062709
info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.062709
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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