Abstract
Reconstruction of source neural activity has an increasing importance due to its high time resolution, promoting its application in diagnosis of neurodegenerative and cognitive tasks. To improve the accuracy of reconstruction, we study the influence of anisotropic blood vessels in the EEG-based source localization solution, including several tissues. To this end, we develop a model that reflects physical properties of the head volume based on collected angiographic data. From obtained results of real data, we find that omission of the anisotropic blood vessels within the forward modeling may result in potential discrepancies larger than 35 µV and dipole localization errors greater than 15 mm, especially, in deep brain areas.
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CITATION STYLE
Cuartas-Morales, E., Torrado-Carvajal, A., Hernandez-Tamames, J. A., Malpica, N., & Castellanos-Dominguez, G. (2017). Influence of anisotropic blood vessels modeling on EEG source localization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10337 LNCS, pp. 384–393). Springer Verlag. https://doi.org/10.1007/978-3-319-59740-9_38
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