AI Article Synopsis
- A deeper understanding of how focal epileptic seizures spontaneously stop could lead to better seizure control treatments.
- Researchers typically investigate seizure termination through two main methods: studying metabolic mechanisms (like ionic changes and neuromodulator releases) or using mathematical tools to analyze functional networks from brain activity recordings.
- This chapter highlights key findings from both approaches and emphasizes that they work together to enhance our understanding of how seizures end.
Article Abstract
A better understanding of the mechanisms by which most focal epileptic seizures stop spontaneously within a few minutes would be of highest importance, because they could potentially help to improve existing and develop novel therapeutic measures for seizure control. Studies devoted to unraveling mechanisms of seizure termination often take one of the two following approaches. The first approach focuses on metabolic mechanisms such as ionic concentrations, acidity, or neuromodulator release, studying how they are dependent on, and in turn affect changes of neuronal activity. The second approach uses quantitative tools to derive functional networks from electrophysiological recordings and analyzes these networks with mathematical methods, without focusing on actual details of cell biology. In this chapter, we summarize key results obtained by both of these approaches and attempt to show that they are complementary and equally necessary in our aim to gain a better understanding of seizure termination.
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| http://dx.doi.org/10.1016/B978-0-12-418693-4.00008-X | DOI Listing |
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