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dc.contributor.authorKroos, J.M.
dc.contributor.authorMarinelli, I.
dc.contributor.authorDiez, I.
dc.contributor.authorCortes, J.M.
dc.contributor.authorStramaglia, S.
dc.contributor.authorGerardo-Giorda, L.
dc.dateinfo:eu-repo/date/embargoEnd/2018-02-28
dc.date.accessioned2016-06-29T09:49:14Z
dc.date.available2016-06-29T09:49:14Z
dc.date.issued2016-06-29
dc.identifier.issn2040-7947
dc.identifier.urihttp://hdl.handle.net/20.500.11824/291
dc.description.abstractCortical Spreading Depression (CSD), a depolarization wave originat- ing in the visual cortex and traveling towards the frontal lobe, is com- monly accepted as a correlate of migraine visual aura. As of today, little is known about the mechanisms that can trigger or stop such phenomenon. However, the complex and highly individual characteristics of the brain cortex suggest that the geometry might have a significant impact in sup- porting or contrasting the propagation of CSD. Accurate patient-specific computational models are fundamental to cope with the high variability in cortical geometries among individuals, but also with the conduction anisotropy induced in a given cortex by the complex neuronal organisa- tion in the grey matter. In this paper we integrate a distributed model for extracellular potassium concentration with patient-specific diffusivity tensors derived locally from Diffusion Tensor Imaging data.en_US
dc.description.sponsorshipThis work was supported by the Bizkaia Talent and European Commission through COFUND under the grant BRAhMS - Brain Aura Mathematical Sim- ulation (AYD-000-285), by the Basque Government through the BERC 2014- 2017 program, and by the Spanish Ministry of Economics and Competitiveness MINECO through the BCAM Severo Ochoa excellence accreditation SEV-2013- 0323 and the Spanish "Plan Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad" under Grant BELEMET - Brain ELEctro- METabolic modeling and numerical approximation (MTM2015-69992-R). JMC acknowledges financial support from Ikerbasque: The Basque Foundation for Science and Euskampus at UPV/EHU.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectCortical Spreading Depressionen_US
dc.subjectDiffusion Tensor Imagingen_US
dc.subjectpatient- specific cortical geometryen_US
dc.subjectfinite element simulationen_US
dc.subjectreaction-diffusion systemsen_US
dc.titlePatient-specific computational modeling of Cortical Spreading Depression via Diffusion Tensor Imagingen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1002/cnm.2874
dc.relation.projectIDES/1PE/SEV-2013-0323en_US
dc.relation.projectIDES/1PE/MTM2015-69992-Ren_US
dc.relation.projectIDBERCen_US
dc.relation.projectIDBizkaia-Talenten_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersionen_US
dc.journal.titleInternational Journal for Numerical Methods in Biomedical Engineeringen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España