Abstract
The effects of epilepsy in a patient can be significantly reduced with medical treatment. However, in some patients or after some time the anti-epileptic drugs do not take effect, being candidates to surgery. Preliminary studies of the patient are usually limited to EEG and MRI, and the epileptic focus is located using brain imaging algorithms that do not provide enough certainty to the specialist. In this work four of the most widely used free distribution neuroimaging software are tested with real epileptic data (EEGLab, SPM, LORETA, and Cartool), with the objective of illustrating their capabilities for locating the epileptic focus. As a result, a novel methodology for robust estimation that includes the advantages of the four software is proposed.
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References
Adeli, H., Zhou, Z., Dadmehr, N.: Analysis of EEG records in an epileptic patient using wavelet transform. Journal of Neuroscience Methods 123(1), 69–87 (2003)
Brodbeck, V., Spinelli, L., Lascano, A.M., Pollo, C., Schaller, K., Vargas, M.I., Wissmeyer, M., Michel, C.M., Seeck, M.: Electrical source imaging for presurgical focus localization in epilepsy patients with normal mri. Epilepsia 51(4), 583–591 (2010)
Brunet, D., Murray, M.M., Michel, C.M.: Spatiotemporal analysis of multichannel EEG: CARTOOL. Intell. Neuroscience 2011, 2:1–2:15 (2011)
Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics. Journal of Neuroscience Methods 134, 9–21 (2004)
Engel, J.: A greater role for surgical treatment of epilepsy: Why and when? Epilepsy Currents 3(2), 37–40 (2003)
Friston, K., Harrison, L., Daunizeau, J., Kiebel, S., Phillips, C., Trujillo-Barreto, N., Henson, R., Flandin, G., Mattout, J.: Multiple sparse priors for the M/EEG inverse problem. NeuroImage 39, 1104–1120 (2008)
Grech, R., Cassar, T., Muscat, J., Camilleri, K., Fabri, S., Zervakis, M., Xanthopoulos, P., Sakkalis, V., Vanrumste, B.: Review on solving the inverse problem in EEG source analysis. Journal of Neuro Engineering and Rehabilitation 5(1), 25 (2008)
Hyvarinen, A., Oja, E.: Independent component analysis: algorithms and applications. Neural Networks 13, 411–430 (2000)
Lantz, G., Spinelli, L., Seeck, M., de Peralta Menendez, R.G., Sottas, C.C., Michel, C.M.: Propagation of interictal epileptiform activity can lead to erroneous source localizations: a 128-channel eeg mapping study. Journal of Clinical Neurophysiology 20(5), 311–319 (2003)
Litvak, V., Mattout, J., Kiebel, S., Phillips, C., Henson, R., Kilner, J., Barnes, G., Oostenveld, R., Daunizeau, J., Flandin, G., et al.: EEG and MEG data analysis in SPM8. Computational Intelligence and Neuroscience (2011)
Pascual-Marqui, R.: Discrete, 3D distributed linear imaging methods of electric neuronal activity. Tech. rep., The KEY Institute for Brain-Mind Research. University Hospital of Psychiatry (2007)
Grave de Peralta, R., Hauk, O., Gonzalez, S.L.: The neuroelectromagnetic inverse problem and the zero dipole localization error. Intell. Neuroscience 2009, 1–11 (2009)
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Ossa, A., Borrego, C., Trujillo, M., Lopez, J.D. (2015). Comparison of Free Distribution Software for EEG Focal Epileptic Source Localization. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_39
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DOI: https://doi.org/10.1007/978-3-319-18914-7_39
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