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 \(\upmu \)V and dipole localization errors greater than 15 mm, especially, in deep brain areas.
E. Cuartas-Morales—This work was supported by Prog. Nal. de Formación de Investigadores Generación del Bicentenario, 2012, Conv 528, program Jóvenes Investigadores e Innovadores, 2015, Conv 706, and by the research project 111974455497 founded by COLCIENCIAS.
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Acknowledgments
This work is carried out under grants: Prog. Nal. de Formacion de Investigadores GENERACION DEL BICENTENARIO, Conv 528.
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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: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Natural and Artificial Computation for Biomedicine and Neuroscience. IWINAC 2017. Lecture Notes in Computer Science(), vol 10337. Springer, Cham. https://doi.org/10.1007/978-3-319-59740-9_38
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DOI: https://doi.org/10.1007/978-3-319-59740-9_38
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