Deep brain stimulation modeling for several anatomical and electrical considerations
Deep Brain Stimulation (DBS) is a clinical treatment for Parkinson disease symptoms. DBS consists in the implantation of a stimulation electrode into the Subthalamic nucleus (STN) for the excitation of specific regions inside the STN. The stimulation potential has a few parameters that should be adj...
- Autores:
-
Torres-Valencia, Cristian Alejandro
Daza-Santacoloma, Genaro
Álvarez-López, Mauricio Alexander
Orozco-Gutiérrez, Álvaro Ángel
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Universidad Santo Tomás
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/36116
- Acceso en línea:
- http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/723
http://hdl.handle.net/11634/36116
- Palabra clave:
- Rights
- License
- Copyright (c) 2018 ITECKNE
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Torres-Valencia, Cristian AlejandroDaza-Santacoloma, GenaroÁlvarez-López, Mauricio AlexanderOrozco-Gutiérrez, Álvaro Ángel2021-09-24T13:17:26Z2021-09-24T13:17:26Z2014-12-31http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/72310.15332/iteckne.v11i2.723http://hdl.handle.net/11634/36116Deep Brain Stimulation (DBS) is a clinical treatment for Parkinson disease symptoms. DBS consists in the implantation of a stimulation electrode into the Subthalamic nucleus (STN) for the excitation of specific regions inside the STN. The stimulation potential has a few parameters that should be adjusted in order to achieve the desired treatment effect. The adjust is performed by the neurologist in several sessions with the patients and is not an exact procedure. In recent years there have been several works on the construction of propagation models of DBS, including head geometries and medium properties in order to visualize the possible effects of DBS while the stimulation parameters are adjusted. This work presents the construction of propagation models using the Finite Element Method (FEM) for the solution of Laplace or Poisson equations that govern the propagation phenomena. By the construction of these models, the shape and magnitude of the electric propagation inside the objective structures can be obtained.La estimulación cerebral profunda (DBS) es una terapia quirúrgica validada para el tratamiento de los síntomas asociados con la enfermedad de Parkinson. Consiste en la implantación de un electrodo de estimulación generalmente en la región del núcleo subtalámico (STN), con el cual se excitan regiones específicas a partir de un potencial eléctrico con ciertos parámetros específicos. El ajuste de los parámetros de estimulación es un proceso realizado por parte del neurólogo y puede tardar varios meses hasta alcanzar los resultados deseados. Es por esto que en años recientes se ha estudiado la construcción de modelos de propagación eléctrica de las estructuras objetivo de la DBS con el fin de visualizar los posibles resultados de la distribución de campo eléctrico y la activación del tejido cerebral que sirven como guía para el ajuste de los parámetros de estimulación, optimizando el procedimiento de configuración. En este trabajo se presenta la comparación de modelos de simulación que incluyen la definición de geometrías complejas representando diferentes estructuras cerebrales con propiedades de diferentes tejidos, con los cuales se obtienen los patrones de propagación eléctrica cerebral por medio del método de elementos finitos (FEM) aplicado a la solución de las ecuaciones de Laplace y Poisson.application/pdfspaUniversidad Santo Tomás. Seccional Bucaramangahttp://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/723/569ITECKNE; Vol 11 No 2 (2014); 140-148ITECKNE; Vol 11 No 2 (2014); 140-1482339-34831692-1798Copyright (c) 2018 ITECKNEhttp://purl.org/coar/access_right/c_abf2Deep brain stimulation modeling for several anatomical and electrical considerationsModelos de estimulación cerebral profunda para diferentes consideraciones anatómicas y eléctricasinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb111634/36116oai:repository.usta.edu.co:11634/361162023-07-14 16:20:35.143metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co |
dc.title.spa.fl_str_mv |
Deep brain stimulation modeling for several anatomical and electrical considerations |
dc.title.alternative.eng.fl_str_mv |
Modelos de estimulación cerebral profunda para diferentes consideraciones anatómicas y eléctricas |
title |
Deep brain stimulation modeling for several anatomical and electrical considerations |
spellingShingle |
Deep brain stimulation modeling for several anatomical and electrical considerations |
title_short |
Deep brain stimulation modeling for several anatomical and electrical considerations |
title_full |
Deep brain stimulation modeling for several anatomical and electrical considerations |
title_fullStr |
Deep brain stimulation modeling for several anatomical and electrical considerations |
title_full_unstemmed |
Deep brain stimulation modeling for several anatomical and electrical considerations |
title_sort |
Deep brain stimulation modeling for several anatomical and electrical considerations |
dc.creator.fl_str_mv |
Torres-Valencia, Cristian Alejandro Daza-Santacoloma, Genaro Álvarez-López, Mauricio Alexander Orozco-Gutiérrez, Álvaro Ángel |
dc.contributor.author.none.fl_str_mv |
Torres-Valencia, Cristian Alejandro Daza-Santacoloma, Genaro Álvarez-López, Mauricio Alexander Orozco-Gutiérrez, Álvaro Ángel |
description |
Deep Brain Stimulation (DBS) is a clinical treatment for Parkinson disease symptoms. DBS consists in the implantation of a stimulation electrode into the Subthalamic nucleus (STN) for the excitation of specific regions inside the STN. The stimulation potential has a few parameters that should be adjusted in order to achieve the desired treatment effect. The adjust is performed by the neurologist in several sessions with the patients and is not an exact procedure. In recent years there have been several works on the construction of propagation models of DBS, including head geometries and medium properties in order to visualize the possible effects of DBS while the stimulation parameters are adjusted. This work presents the construction of propagation models using the Finite Element Method (FEM) for the solution of Laplace or Poisson equations that govern the propagation phenomena. By the construction of these models, the shape and magnitude of the electric propagation inside the objective structures can be obtained. |
publishDate |
2014 |
dc.date.issued.none.fl_str_mv |
2014-12-31 |
dc.date.accessioned.none.fl_str_mv |
2021-09-24T13:17:26Z |
dc.date.available.none.fl_str_mv |
2021-09-24T13:17:26Z |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.drive.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.identifier.none.fl_str_mv |
http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/723 10.15332/iteckne.v11i2.723 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11634/36116 |
url |
http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/723 http://hdl.handle.net/11634/36116 |
identifier_str_mv |
10.15332/iteckne.v11i2.723 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/723/569 |
dc.relation.citationissue.spa.fl_str_mv |
ITECKNE; Vol 11 No 2 (2014); 140-148 |
dc.relation.citationissue.eng.fl_str_mv |
ITECKNE; Vol 11 No 2 (2014); 140-148 |
dc.relation.citationissue.none.fl_str_mv |
2339-3483 1692-1798 |
dc.rights.eng.fl_str_mv |
Copyright (c) 2018 ITECKNE |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Copyright (c) 2018 ITECKNE http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.eng.fl_str_mv |
Universidad Santo Tomás. Seccional Bucaramanga |
institution |
Universidad Santo Tomás |
repository.name.fl_str_mv |
Repositorio Universidad Santo Tomás |
repository.mail.fl_str_mv |
noreply@usta.edu.co |
_version_ |
1800786351973466112 |