  The electrical stimulation to the seizure onset zone (SOZ) serves as an
efficient approach to seizure suppression. Recently, seizure dynamics have
gained widespread attendance in its network propagation mechanisms. Compared
with the direct stimulation to SOZ, other brain network-level approaches that
can effectively suppress epileptic seizures remain under-explored. In this
study, we introduce a platform equipped with a system identification module and
a control strategy module, to validate the effectiveness of the hub of the
epileptic brain network in suppressing seizure. The identified surrogate
dynamics show high predictive performance in reconstructing neural dynamics
which enables the model predictive framework to achieve accurate neural
stimulation. The electrical stimulation on the hub of the epileptic brain
network shows remarkable performance as the direct stimulation of SOZ in
suppressing seizure dynamics. Underpinned by network control theory, our
platform offers a general tool for the validation of neural stimulation.
