A computational study of stimulus driven XXXX abatement.

@entity1 @entity410 @entity302
Active brain stimulation to abate @entity302 has shown mixed success. In spike-wave (SW) @entity410 , where the @entity410 and background state were proposed to coexist, single-pulse stimulations have been suggested to be able to terminate the @entity410 prematurely. However, several factors can impact success in such a bistable setting. The factors contributing to this have not been fully investigated on a theoretical and mechanistic basis. Our aim is to elucidate mechanisms that influence the success of single-pulse stimulation in noise-induced @entity410 . In this work, we study a neural population model of @entity410 that allows the reconstruction of the basin of attraction of the background activity as a four dimensional geometric object. For the deterministic (noise-free) case, we show how the success of response to stimuli depends on the amplitude and phase of the SW cycle, in addition to the direction of the stimulus in state space. In the case of spontaneous noise-induced @entity410 , the basin becomes probabilistic introducing some degree of uncertainty to the stimulation outcome while maintaining qualitative features of the noise-free case. Additionally, due to the different time scales involved in SW generation, there is substantial variation between SW cycles, implying that there may not be a fixed set of optimal stimulation parameters for @entity410 . In contrast, the model suggests an adaptive approach to find optimal stimulation parameters @entity1 -specifically, based on real-time estimation of the position in state space. We discuss how the modelling work can be exploited to rationally design a successful stimulation protocol for the abatement of @entity410 using real-time SW detection.
