Numerical modeling in electro- and magnetoencephalography

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Tanzer, I. Oğuz
dc.date.accessioned 2012-02-17T07:33:43Z
dc.date.available 2012-02-17T07:33:43Z
dc.date.issued 2006-03-13
dc.identifier.isbn 951-22-8091-4
dc.identifier.issn 1795-4584
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/2675
dc.description.abstract This Thesis concerns the application of two numerical methods, Boundary Element Method (BEM) and Finite Element Method (FEM) to forward problem solution of bioelectromagnetic source localization in the brain. The aim is to improve the accuracy of the forward problem solution in estimating the electrical activity of the human brain from electric and magnetic field measurements outside the head. Electro- and magnetoencephalography (EEG, MEG) are the most important tools enabling us to gather knowledge about the human brain non-invasively. This task is alternatively named brain mapping. An important step in brain mapping is determining from where the brain signals originate. Using appropriate mathematical models, a localization of the sources of measured signals can be performed. A general motivation of this work was the fact that source localization accuracy can be improved by solving the forward problem with higher accuracy. In BEM studies, accurate representation of model geometry using higher order elements improves the solution of the forward problem. In FEM, complex conductivity information can be incorporated into numerical model. Using Whitney-type finite elements instead of using singular sources such as point dipoles, primary and volume currents are represented as continuous sources. With comparison to analytical solutions available in simple geometries such as sphere, the studied numerical methods show improvements in the forward problem solution of bioelectromagnetic source imaging. en
dc.format.extent 58, [91]
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries TKK dissertations en
dc.relation.ispartofseries 26 en
dc.relation.haspart Gençer N. G., Tanzer I. O., Özdemir K., Acar C. and Sungur M. (1998). State of art in realistic head modeling for electromagnetic source imaging of the human brain, Elektrik, 6: 167-182.
dc.relation.haspart Gençer N. G. and Tanzer I. O. (1999). Forward problem solution of electromagnetic source imaging using a new BEM formulation with high order elements, Physics in Medicine and Biology, 44: 2275-2287.
dc.relation.haspart Gençer N. G., Acar C. E. and Tanzer I. O. (2003). Forward problem solution of magnetic source imaging, Magnetic Source Imaging of the Human Brain, Eds: Zhong-Lin Lu, Lloyd Kaufman, Lawrence Erlbaum Associates Inc., ISBN 0805845119, 77-100.
dc.relation.haspart Tanzer I. O., Järvenpää S., Nenonen J. and Somersalo E. (2003). Effect of potential approximation on linear inversion from surface potential and magnetic field, Biomedizinische Technik, 48: 254-257.
dc.relation.haspart Tanzer I. O., Järvenpää S., Nenonen J. and Somersalo E. (2005). Representation of bioelectric current sources using Whitney elements in the finite element method, Physics in Medicine and Biology, 50: 3023-3039.
dc.relation.haspart Tanzer I. O., Järvenpää S. and Somersalo E. (2005). An alternative formulation to represent bioelectric current sources using Whitney elements, Helsinki University of Technology publications in engineering physics, Report TKK-F-A840.
dc.subject.other Medical sciences en
dc.title Numerical modeling in electro- and magnetoencephalography en
dc.type G5 Artikkeliväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Engineering Physics and Mathematics en
dc.contributor.department Teknillisen fysiikan ja matematiikan osasto fi
dc.subject.keyword EEG en
dc.subject.keyword MEG en
dc.subject.keyword boundary element method en
dc.subject.keyword finite element method en
dc.subject.keyword forward problem en
dc.identifier.urn urn:nbn:fi:tkk-006625
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.lab Laboratory of Biomedical Engineering en
dc.contributor.lab Lääketieteellisen tekniikan laboratorio fi


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