Goodfellow, M and Rummel, C and Garry, D and Baier, G and Schindler, K and Glendinning, P (2012) State transitions in a model of intermittent seizure dynamics. [MIMS Preprint]
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Abstract
We present a neural mass model of intermittent transitions into electroencephalographic (EEG) seizure rhythms in epilepsy. The route to intermittent dynamics is identied as Type 1 and state transition statistics are explored. It is demonstrated that a single framework can give rise to different distributions for seizure and non-seizure lengths in line with variability observed clinically. Further investigation of this model can give insight into the possible mechanisms underlying spontaneous seizure transitions in the epileptic brain.
Item Type: | MIMS Preprint |
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Uncontrolled Keywords: | CICADA |
Subjects: | PACS 2010, the AIP's Physics and Astronomy Classification Scheme > 80 INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY > 87 Biological and medical physics |
Depositing User: | Professor Paul Glendinning |
Date Deposited: | 03 Aug 2012 |
Last Modified: | 08 Nov 2017 18:18 |
URI: | https://eprints.maths.manchester.ac.uk/id/eprint/1853 |
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