State transitions in a model of intermittent seizure dynamics
نویسندگان
چکیده
We present a neural mass model of intermittent transitions into electroencephalographic (EEG) seizure rhythms in epilepsy. The route to intermittent dynamics is identified 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. PACS numbers: 87.19.xm, 87.19.le, 05.45.-a ∗ [email protected]
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