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dc.contributor.author
Blenkmann, Alejandro Omar
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Phillips, Holly N.
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Princich, Juan Pablo
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Rowe, James B.
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Bekinschtein, Tristán Andrés
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Muravchik, Carlos Horacio
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Kochen, Sara Silvia
dc.date.available
2018-06-11T15:34:46Z
dc.date.issued
2017-02
dc.identifier.citation
Blenkmann, Alejandro Omar; Phillips, Holly N.; Princich, Juan Pablo; Rowe, James B.; Bekinschtein, Tristán Andrés; et al.; iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization; Frontiers in Bioscience; Frontiers in Neuroinformatics; 11; 14; 2-2017; 1-16
dc.identifier.issn
1662-5196
dc.identifier.uri
http://hdl.handle.net/11336/48069
dc.description.abstract
The localization of intracranial electrodes is a fundamental step in the analysis of invasive electroencephalography (EEG) recordings in research and clinical practice. The conclusions reached from the analysis of these recordings rely on the accuracy of electrode localization in relationship to brain anatomy. However, currently available techniques for localizing electrodes from magnetic resonance (MR) and/or computerized tomography (CT) images are time consuming and/or limited to particular electrode types or shapes. Here we present iElectrodes, an open-source toolbox that provides robust and accurate semi-automatic localization of both subdural grids and depth electrodes. Using pre- and post-implantation images, the method takes 2 to 3 minutes to localize the coordinates in each electrode array and automatically number the electrodes. The proposed pre-processing pipeline allows one to work in a normalized space and to automatically obtain anatomical labels of the localized electrodes without neuroimaging experts. We validated the method with data from 22 patients implanted with a total of 1242 electrodes. We show that localization distances were within 0.56 mm of those achieved by experienced manual evaluators. iElectrodes provided additional advantages in terms of robustness (even with severe perioperative cerebral distortions), speed (less than half the operator time compared to expert manual localization), simplicity, utility across multiple electrode types (surface and depth electrodes) and all brain regions.
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application/pdf
dc.language.iso
eng
dc.publisher
Frontiers in Bioscience
dc.rights
info:eu-repo/semantics/openAccess
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Brain
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Electrodes
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Visual
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Discussion
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Neurociencias
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Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-08T14:27:32Z
dc.journal.volume
11
dc.journal.number
14
dc.journal.pagination
1-16
dc.journal.pais
Estados Unidos
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Fil: Blenkmann, Alejandro Omar. University of Oslo; Noruega. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Biología Celular y Neurociencia "Prof. Eduardo de Robertis". Universidad de Buenos Aires. Facultad de Medicina. Instituto de Biología Celular y Neurociencia; Argentina. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; Argentina
dc.description.fil
Fil: Phillips, Holly N.. University of Cambridge; Reino Unido
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Fil: Princich, Juan Pablo. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; Argentina
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Fil: Rowe, James B.. University of Cambridge; Reino Unido
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Fil: Bekinschtein, Tristán Andrés. University of Cambridge; Reino Unido
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Fil: Muravchik, Carlos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
dc.description.fil
Fil: Kochen, Sara Silvia. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Biología Celular y Neurociencia "Prof. Eduardo de Robertis". Universidad de Buenos Aires. Facultad de Medicina. Instituto de Biología Celular y Neurociencia; Argentina. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; Argentina
dc.journal.title
Frontiers in Neuroinformatics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333374/
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info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fninf.2017.00014/full
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info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3389/fninf.2017.00014