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dc.contributor.authorMigliorelli Falcone, Carolina Mercedes
dc.contributor.authorAlonso López, Joan Francesc
dc.contributor.authorRomero Lafuente, Sergio
dc.contributor.authorMañanas Villanueva, Miguel Ángel
dc.contributor.authorNowak, Rafal
dc.contributor.authorRussi Tintoré, Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-01-09T14:47:30Z
dc.date.issued2016-03-02
dc.identifier.citationMigliorelli, C., Alonso, J.F., Romero, S., Mañanas, M.A., Nowak, R., Russi, A. Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activity. "Journal of neural engineering", 2 Març 2016, vol. 13, núm. 2, p. 1-12.
dc.identifier.issn1741-2560
dc.identifier.urihttp://hdl.handle.net/2117/98886
dc.description.abstractObjective. Medical intractable epilepsy is a common condition that affects 40% of epileptic patients that generally have to undergo resective surgery. Magnetoencephalography (MEG) has been increasingly used to identify the epileptogenic foci through equivalent current dipole (ECD) modeling, one of the most accepted methods to obtain an accurate localization of interictal epileptiform discharges (IEDs). Modeling requires that MEG signals are adequately preprocessed to reduce interferences, a task that has been greatly improved by the use of blind source separation (BSS) methods. MEG recordings are highly sensitive to metallic interferences originated inside the head by implanted intracranial electrodes, dental prosthesis, etc and also coming from external sources such as pacemakers or vagal stimulators. To reduce these artifacts, a BSS-based fully automatic procedure was recently developed and validated, showing an effective reduction of metallic artifacts in simulated and real signals (Migliorelli et al 2015 J. Neural Eng. 12 046001). The main objective of this study was to evaluate its effects in the detection of IEDs and ECD modeling of patients with focal epilepsy and metallic interference. Approach. A comparison between the resulting positions of ECDs was performed: without removing metallic interference; rejecting only channels with large metallic artifacts; and after BSS-based reduction. Measures of dispersion and distance of ECDs were defined to analyze the results. Main results. The relationship between the artifact-to-signal ratio and ECD fitting showed that higher values of metallic interference produced highly scattered dipoles. Results revealed a significant reduction on dispersion using the BSS-based reduction procedure, yielding feasible locations of ECDs in contrast to the other two approaches. Significance. The automatic BSS-based method can be applied to MEG datasets affected by metallic artifacts as a processing step to improve the localization of epileptic foci.
dc.format.extent12 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshEpilepsy -- Diagnosis
dc.subject.otherautomatic artifact reduction
dc.subject.otherblind source separation
dc.subject.otherepilepsy
dc.subject.otherIEDs
dc.subject.othermagnetoencephalography
dc.subject.othermetallic artifact
dc.titleInfluence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activity
dc.typeArticle
dc.subject.lemacEpilèpsia -- Diagnòstic
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
dc.identifier.doi10.1088/1741-2560/13/2/026029
dc.relation.publisherversionhttp://iopscience.iop.org/article/10.1088/1741-2560/13/2/026029/meta
dc.rights.accessOpen Access
drac.iddocument18729664
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorMigliorelli, C.; Alonso, J.F.; Romero, S.; Mañanas, M.A.; Nowak, R.; Russi, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of neural engineering
upcommons.citation.volume13
upcommons.citation.number2
upcommons.citation.startingPage1
upcommons.citation.endingPage12


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