Seizure Control using Feedback and Electric Fields
If we consider the brain to be a dynamical system, and epilepsy one of its possible behaviors, then seizure prevention may be understood in terms of a complex control problem in which we perturb the system to prevent one behavior while minimizing the impact on other activity. To choose an analogy, consider a car and driver as a dynamical system and the act of driving off the road as a particular behavior we would like to prevent, while minimizing impact on normal driving tasks such as getting to destinations, choosing proper speeds, and avoiding other cars on the road. Numerous approaches can be taken, but two questions must be answered: first, how to interact with the system, and second, when to interact with it?. The operating set point of the system can be statically changed by modulating the performance of the car — slowing it down, for example. If additional information about the particular behavior of driving off the road is considered, specifically that the driver falls asleep, then more intricate control strategies can be chosen specifically to prevent just the precursor dynamic (falling asleep). One could imagine administering large doses of coffee or continuously ringing an alarm to prevent drowsiness, but in both cases, the driver is likely to filter out and thereby accommodate to the perturbation, making it ineffectual and otherwise annoying.
KeywordsSeizure Control Burst Rate Average Deflection Network Burst Electric Field Modulation
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