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dc.contributor.authorBangera, Nitin B.en_US
dc.contributor.authorSchomer, Donald L.en_US
dc.contributor.authorDehghani, Nimaen_US
dc.contributor.authorUlbert, Istvanen_US
dc.contributor.authorCash, Sydneyen_US
dc.contributor.authorPapavasiliou, Steveen_US
dc.contributor.authorEisenberg, Solomon R.en_US
dc.contributor.authorDale, Anders M.en_US
dc.contributor.authorHalgren, Ericen_US
dc.date.accessioned2012-01-11T00:39:12Z
dc.date.available2012-01-11T00:39:12Z
dc.date.issued2010-1-9en_US
dc.identifier.citationBangera, Nitin B., Donald L. Schomer, Nima Dehghani, Istvan Ulbert, Sydney Cash, Steve Papavasiliou, Solomon R. Eisenberg, Anders M. Dale, Eric Halgren. "Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution" Journal of Computational Neuroscience 29(3): 371-387. (2010)en_US
dc.identifier.issn1573-6873en_US
dc.identifier.urihttp://hdl.handle.net/2144/3013
dc.description.abstractForward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measured from the human brain. The influence of brain anisotropy on the forward solution is poorly understood. The goal of this study is to validate an anisotropic model for the intracranial electric forward solution by comparing with the directly measured 'gold standard'. Dipolar sources are created at known locations in the brain and intracranial electroencephalogram (EEG) is recorded simultaneously. Isotropic models with increasing level of complexity are generated along with anisotropic models based on Diffusion tensor imaging (DTI). A Finite Element Method based forward solution is calculated and validated using the measured data. Major findings are (1) An anisotropic model with a linear scaling between the eigenvalues of the electrical conductivity tensor and water self-diffusion tensor in brain tissue is validated. The greatest improvement was obtained when the stimulation site is close to a region of high anisotropy. The model with a global anisotropic ratio of 10:1 between the eigenvalues (parallel: tangential to the fiber direction) has the worst performance of all the anisotropic models. (2) Inclusion of cerebrospinal fluid as well as brain anisotropy in the forward model is necessary for an accurate description of the electric field inside the skull. The results indicate that an anisotropic model based on the DTI can be constructed non-invasively and shows an improved performance when compared to the isotropic models for the calculation of the intracranial EEG forward solution. ELECTRONIC SUPPLEMENTARY MATERIAL. The online version of this article (doi:10.1007/s10827-009-0205-z) contains supplementary material, which is available to authorized users.en_US
dc.description.sponsorshipNational Institutes of Health (NS44623, NS18741); Trustees of Boston Universityen_US
dc.language.isoenen_US
dc.publisherSpringer USen_US
dc.rightsCopyright The Author(s) 2009en_US
dc.subjectForward solutionen_US
dc.subjectWhite matter anisotropyen_US
dc.subjectIntracranial EEGen_US
dc.subjectValidationen_US
dc.subjectFEMen_US
dc.subjectFinite element modelen_US
dc.subjectSource localizationen_US
dc.titleExperimental Validation of the Influence of White Matter Anisotropy on the Intracranial EEG Forward Solutionen_US
dc.typearticleen_US
dc.identifier.doi10.1007/s10827-009-0205-zen_US
dc.identifier.pubmedid20063051en_US
dc.identifier.pmcid2912982en_US


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