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dc.contributor.author
Princich, Juan Pablo
dc.contributor.author
Wassermann, Demian
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Latini, Facundo
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Oddo, Silvia Andrea
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Blenkmann, Alejandro Omar
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Seifer, Gustavo
dc.contributor.author
Kochen, Sara Silvia
dc.date.available
2015-07-16T16:46:27Z
dc.date.issued
2013-12
dc.identifier.citation
Princich, Juan Pablo; Wassermann, Demian; Latini, Facundo; Oddo, Silvia Andrea; Blenkmann, Alejandro Omar; et al.; Rapid and efficient localization of depth electrodes and cortical labeling using free and open source medical software in epilepsy surgery candidates; Frontiers Res Found; Frontiers In Human Neuroscience; 7; 12-2013; 260-270
dc.identifier.issn
1662-5161
dc.identifier.uri
http://hdl.handle.net/11336/1246
dc.description.abstract
Depth intracranial electrodes (IEs) placement is one of the most used procedures to identify the epileptogenic zone (EZ) in surgical treatment of drug resistant epilepsy patients, about 20?30% of this population. IEs localization is therefore a critical issue defining the EZ and its relation with eloquent functional areas. That information is then used to target the resective surgery and has great potential to affect outcome. We designed a methodological procedure intended to avoid the need for highly specialized medical resources and reduce time to identify the anatomical location of IEs, during the first instances of intracranial EEG recordings. This workflow is based on established open source software; 3D Slicer and Freesurfer that uses MRI and Post-implant CT fusion for the localization of IEs and its relation with automatic labeled surrounding cortex. To test this hypothesis we assessed the time elapsed between the surgical implantation process and the final anatomical localization of IEs by means of our proposed method compared against traditional visual analysis of raw post-implant imaging in two groups of patients. All IEs were identified in the first 24 H (6?24 H) of implantation using our method in 4 patients of the first group. For the control group; all IEs were identified by experts with an overall time range of 36 h to 3 days using traditional visual analysis. It included (7 patients), 3 patients implanted with IEs and the same 4 patients from the first group. Time to localization was restrained in this group by the specialized personnel and the image quality available. To validate our method; we trained two inexperienced operators to assess the position of IEs contacts on four patients (5 IEs) using the proposed method. We quantified the discrepancies between operators and we also assessed the efficiency of our method to define the EZ comparing the findings against the results of traditional analysis.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Res Found
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Epilepsy
dc.subject
Electrodes
dc.subject
Seeg
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Mri
dc.subject
Localization
dc.subject.classification
Neurociencias
dc.subject.classification
Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Rapid and efficient localization of depth electrodes and cortical labeling using free and open source medical software in epilepsy surgery candidates
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-03-30 10:35:44.97925-03
dc.journal.volume
7
dc.journal.pagination
260-270
dc.journal.pais
Suiza
dc.journal.ciudad
Lausanne
dc.description.fil
Fil: Princich, Juan Pablo. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos; Argentina
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Fil: Wassermann, Demian. Harvard Medical School; Estados Unidos de América;
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Fil: Latini, Facundo. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos; Argentina
dc.description.fil
Fil: Oddo, Silvia Andrea. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos; Argentina
dc.description.fil
Fil: Blenkmann, Alejandro Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Biología Celular y Neurcs. ; Argentina
dc.description.fil
Fil: Seifer, Gustavo. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos; Argentina
dc.description.fil
Fil: Kochen, Sara Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Biología Celular y Neurcs. ; Argentina
dc.journal.title
Frontiers In Human Neuroscience
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fnins.2013.00260&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&journalName=Frontiers_in_Neurosci
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.frontiersin.org/Journal/Abstract.aspx?s=1304&name=brain_imaging_methods&ART_DOI=10.3389/fnins.2013.00260&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&journalName=Frontiers_in_Neurosci