Seizure termination

Zubler, Frédéric Alexis Rudolf; Steimer, Andreas; Gast, Heidemarie; Schindler, Kaspar Anton (2014). Seizure termination. International Review of Neurobiology, 114, pp. 187-207. 10.1016/B978-0-12-418693-4.00008-X

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Zubler, Frédéric Alexis Rudolf; Steimer, Andreas; Gast, Heidemarie and Schindler, Kaspar Anton

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0074-7742

Language:

English

Submitter:

Valentina Rossetti

Date Deposited:

09 Oct 2014 11:07

Last Modified:

11 Dec 2014 10:27

Publisher DOI:

10.1016/B978-0-12-418693-4.00008-X

PubMed ID:

25078503

Uncontrolled Keywords:

Complex systems EEG Functional networks Graph theory Molecular mechanisms

BORIS DOI:

10.7892/boris.58184

URI:

https://boris.unibe.ch/id/eprint/58184

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