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iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization

Mostrar el registro sencillo del ítem Blenkmann, Alejandro Phillips, Holly Princich, Juan Rowe, James Bekinschtein, Tristan Muravchik, Carlos Kochen, Silvia 2017-04-27T17:06:30Z 2017-04-27T17:06:30Z 2017
dc.identifier.citation Blenkmann AO, Phillips HN, Princich JP, Rowe JB, Bekinschtein TA, Muravchik CH and Kochen S (2017) iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization. Front. Neuroinform. 11:14. doi: 10.3389/fninf.2017.00014 es_AR
dc.identifier.issn 1662-5196
dc.identifier.other 10.3389/fninf.2017.00014
dc.description Fil: Kochen, S. Hospital de Alta Complejidad en Red El Cruce Dr. Néstor C. Kirchner. Centro Nacional de Alta Complejidad en Neurociencias y Neurocirugía. Florencio Varela, Argentina. es_AR
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 2–3 min 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 1,242 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. The Supplementary Material for this article can be found online at: es_AR
dc.language.iso en_US es_AR
dc.publisher Frontiers Media es_AR
dc.subject Epilepsia es_AR
dc.subject Electrodos Implantados es_AR
dc.subject Imagen por Resonancia Magnética es_AR
dc.subject Diagnóstico por Imagen es_AR
dc.title iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization es_AR
dc.type Article es_AR

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