Suppression of epileptic seizures via Anderson localization.
Here we show that brain seizures can be effectively suppressed through random modulation of the brain medium. We use an established mesoscale cortical model in the form of a system of coupled stochastic partial differential equations. We show that by temporal and spatial randomization of parameters governing the firing rates of the excitatory and inhibitory neuron populations, seizure waves can be significantly suppressed. We find that the attenuation is the most effective when applied to the mean threshold potential. The proposed technique can serve as a non-invasive paradigm to mitigate epileptic seizures without knowing the location of the epileptic foci.
Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA.
Benjamin J
BJ
Zhang
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.|Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Maysamreza
M
Chamanzar
Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA reza.alam@berkeley.edu.
Mohammad-Reza
0000-0002-9730-0717
MR
Alam
D001921:Brain / Q000503:physiopathology*; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D008959:Models, Neurological
Anderson localization; epilepsy; mesoscale cortical model; seizure attenuation; seizures