The role that choice of model plays in predictions for epilepsy surgery.

ABSTRACT: Mathematical modelling has been widely used to predict the effects of perturbations to brain networks. An important example is epilepsy surgery, where the perturbation in question is the removal of brain tissue in order to render the patient free of seizures. Different dynamical models have been proposed to represent transitions to ictal states in this context. However, our choice of which mathematical model to use to address this question relies on making assumptions regarding the mechanism that defines the transition from background to the seizure state. Since these mechanisms are unknown, it is important to understand how predictions from alternative dynamical descriptions compare. Herein we evaluate to what extent three different dynamical models provide consistent predictions for the

SUBMITTER: Junges L 

PROVIDER: S-EPMC6517411 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature