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dc.date.accessioned 2019-12-06T18:58:18Z
dc.date.available 2019-12-06T18:58:18Z
dc.date.issued 2016
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/87021
dc.description.abstract We present a framework to detect fast oscillations (FOs) in magnetoencephalography (MEG) and to perform magnetic source imaging (MSI) to determine the location and extent of their generators in the cortex. FOs can be of physiologic origin associated to sensory processing and memory consolidation. In epilepsy, FOs are of pathologic origin and biomarkers of the epileptogenic zone. Seventeen patients with focal epilepsy previously confirmed with identified FOs in scalp electroencephalography (EEG) were evaluated. To handle data deriving from large number of sensors (275 axial gradiometers) we used an automatic detector with high sensitivity. False positives were discarded by two human experts. MSI of the FOs was performed with the wavelet based maximum entropy on the mean method. We found FOs in 11/17 patients, in only one patient the channel with highest FO rate was not concordant with the epileptogenic region and might correspond to physiologic oscillations. MEG FOs rates were very low: 0.02–4.55 per minute. Compared to scalp EEG, detection sensitivity was lower, but the specificity higher in MEG. MSI of FOs showed concordance or partial concordance with proven generators of seizures and epileptiform activity in 10/11 patients. We have validated the proposed framework for the non-invasive study of FOs with MEG. The excellent overall concordance with other clinical gold standard evaluation tools indicates that MEG FOs can provide relevant information to guide implantation for intracranial EEG pre-surgical evaluation and for surgical treatment, and demonstrates the important added value of choosing appropriate FOs detection and source localization methods. en
dc.format.extent 218-231 es
dc.language en es
dc.subject Automatic detection es
dc.subject Epilepsy es
dc.subject High frequency activity es
dc.subject Human es
dc.subject Source localization es
dc.title Detection and Magnetic Source Imaging of Fast Oscillations (40–160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients en
dc.type Articulo es
sedici.identifier.other doi:10.1007/s10548-016-0471-9 es
sedici.identifier.other eid:2-s2.0-84958176741 es
sedici.identifier.issn 0896-0267 es
sedici.creator.person Ellenrieder, Nicolás von es
sedici.creator.person Pellegrino, Giovanni es
sedici.creator.person Hedrich, Tanguy es
sedici.creator.person Gotman, Jean es
sedici.creator.person Lina, Jean Marc es
sedici.creator.person Grova, Christophe es
sedici.creator.person Kobayashi, Eliane es
sedici.subject.materias Ingeniería es
sedici.subject.materias Ciencias Médicas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
mods.originInfo.place Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Brain Topography es
sedici.relation.journalVolumeAndIssue vol. 29, no. 2 es
sedici.rights.sherpa * Color: green * Pre-print del autor: can * Post-print del autor: can * Versión de editor/PDF:cannot * Condiciones: >>Author's pre-print on author's personal website, non-commercial pre-print server >>Author's post-print on author's personal website immediately >>Author's post-print on institutional repository or funder designated repository after 12 months embargo from first online publication >>Publisher's version/PDF cannot be used >>Published source must be acknowledged >>Must link to publisher version with DOI >>Post-prints are subject to Springer Nature re-use terms * Link a Sherpa: http://sherpa.ac.uk/romeo/issn/0896-0267/es/


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)