Conference Proceedings

Identification of a Neural Mass Model of Burst Suppression

Amirhossein Jafarian, Dean Robert Freestone, Dragan Nesic, David Grayden

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | IEEE | Published : 2019


Burst suppression includes alternating patterns of silent and fast spike activities in neuronal activities observable in micro to macro scale recordings. Biological models of burst suppression are given as dynamical systems with slow and fast states. The aim of this paper is to give a method to identify parameters of a mesoscopic model of burst suppression that can provide insights into study underlying generators of intracranial electroencephalogram (iEEG) data. An optimisation technique based upon a genetic algorithm (GA) is employed to find feasible model parameters to replicate burst patterns in the iEEG data with paroxysmal transitions. Then, a continuous discrete unscented Kalman filte..

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