Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions.

ABSTRACT: An improved understanding of the mechanisms underlying neuromodulatory approaches to mitigate seizure onset is needed to identify clinical targets for the treatment of epilepsy. Using a Wilson-Cowan-motivated network of inhibitory and excitatory populations, we examined the role played by intrinsic and extrinsic stimuli on the network's predisposition to sudden transitions into oscillatory dynamics, similar to the transition to the seizure state. Our joint computational and mathematical analyses revealed that such stimuli, be they noisy or periodic in nature, exert a stabilizing influence on network responses, disrupting the development of such oscillations. Based on a combination of numerical simulations and mean-field analyses, our results suggest that high variance and/or high frequency

SUBMITTER: Rich S 

PROVIDER: S-EPMC7506027 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature