Volume 13 Supplement 1
Interpretation of seizure evolution pathways via a mean-field cortical model
© Dadok et al; licensee BioMed Central Ltd. 2012
Published: 16 July 2012
Treatment of epilepsy is a challenging task. Difficulties arise in choosing the best pharmaceutical drugs for specific patients, and if limited benefits result, attempting to choose the best alternative treatment. It is not always clear why a treatment that works well for one patient does not work well for another. Better understanding of the epileptic brain, such as differentiating between possible biological mechanisms driving seizure evolution, may offer insight into these problems.
This work was partly supported by a research grant from the National Science Foundation and an NSF Graduate Research Fellowship to V. Dadok.
- Steyn-Ross ML, Steyn-Ross DA, Sleigh JW, Whiting DR: Theoretical predictions for spatial covariance of the electroencephalographic signal during the anesthetic-induced phase transition: Increased correlation length and emergence of spatial self-organization. Phys Rev E. 2003, 68: 021902-1021902-18.View ArticleGoogle Scholar
- Kramer MA, Szeri AJ, Sleigh JW, Kirsch HE: Mechanisms of seizure propagation in a cortical model. J. Comput Neurosci. 2007, 22: 63-80. 10.1007/s10827-006-9508-5.View ArticlePubMedGoogle Scholar
- Loupour BA, Tasoglu S, Kirsch HE, Sleigh JW, Szeri AJ: A continuous mapping of sleep states through association of EEG with a mesoscale cortical model. J. Comput Neurosci. 2011, 30: 471-487. 10.1007/s10827-010-0272-1.View ArticleGoogle Scholar
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