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dc.contributor.author
Von Ellenrieder, Nicolás  
dc.contributor.author
Beltrachini, Leandro  
dc.contributor.author
Muravchik, Carlos Horacio  
dc.date.available
2023-03-17T11:26:45Z  
dc.date.issued
2012-09  
dc.identifier.citation
Von Ellenrieder, Nicolás; Beltrachini, Leandro; Muravchik, Carlos Horacio; Electrode and brain modeling in stereo-EEG; Elsevier Ireland; Clinical Neurophysiology; 123; 9; 9-2012; 1745-1754  
dc.identifier.issn
1388-2457  
dc.identifier.uri
http://hdl.handle.net/11336/190869  
dc.description.abstract
Objective: To quantify the perturbation due to the presence of a measuring depth electrode on the intracranial electric potential distribution, and to study the effect of the heterogeneity and anisotropy of the brain tissues' electric conductivity. Methods: The governing differential equations are solved with the Boundary Elements Method to compute the perturbation on the electric potential distribution caused by the presence of the measuring electrode, and with the Finite Elements Method to simulate measurements in an heterogeneous anisotropic brain model. Results: The perturbation on the measured electric potential is negligible if the source of electric activity is located more than approximately 1. mm away from the electrode. The error induced by this perturbation in the estimation of the source position is below 1. mm in all tested situations. The results hold for different sizes of the electrode's contacts. The effect of the brain's heterogeneity and anisotropy is more important. In a particular example simulated dipolar sources in the gray matter show localization differences of up to 5. mm between homogeneous isotropic and heterogeneous anisotropic brain models. Conclusions: It is not necessary to include detailed electrode models in order to solve the stereo-EEG (sEEG) forward and inverse problems. The heterogeneity and anisotropy of the brain electric conductivity should be modeled if possible. The effect of using an homogeneous isotropic brain model approximation should be studied in a case by case basis, since it depends on the electrode positions, the subject's electric conductivity map, and the source configuration. Significance: This simulation study is helpful for interpreting the sEEG measurements, and for choosing appropriate electrode and brain models; a necessary first step in any attempt to solve the sEEG inverse problem. © 2012 International Federation of Clinical Neurophysiology.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Ireland  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BRAIN ANISOTROPY  
dc.subject
DEPTH ELECTRODE  
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FORWARD PROBLEM  
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INVERSE PROBLEM  
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STEREO-EEG  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Electrode and brain modeling in stereo-EEG  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-03-05T15:35:36Z  
dc.journal.volume
123  
dc.journal.number
9  
dc.journal.pagination
1745-1754  
dc.journal.pais
Irlanda  
dc.journal.ciudad
https://ri.conicet.gov.ar/admin/static/images/left.png  
dc.description.fil
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina  
dc.description.fil
Fil: Beltrachini, Leandro. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina  
dc.description.fil
Fil: Muravchik, Carlos Horacio. Universidad Nacional de La Plata; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina  
dc.journal.title
Clinical Neurophysiology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.clinph.2012.01.019  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1388245712000673