J. Parra

TL;DR: In this paper, the authors consider epilepsies as dynamical diseases of brain systems since they are manifestations of the property of neuronal networks to display multistable dynamics, and they assume that at least two states of the epileptic brain are possible: the interictal state characterized by a normal, apparently random, steady-state electroencephalography (EEG) ongoing activity, and the seizure state, that is characterized by paroxysmal occurrence of synchronous oscillations and is generally called, in neurology, a seizure.

TL;DR: An enhancement of phase synchrony in the gamma-band, harmonically related to the frequency of stimulation, preceded the stimulation trials that evolved into PPRs, and differed significantly from that encountered in trials not followed by PPR or in control subjects, leading to postulate that a pathological deviation of normally occurring synchronization of gamma oscillations, underlying perceptional processes, mediates the epileptic transition in PSE.

TL;DR: The analysis showed that in certain cases, the transitions between ictal and interictal states can be modeled by a Poisson process operating in a bistable network.

TL;DR: The authors' clinical findings indicate that although the precise moment of ictal transitions is in general unpredictable, it may be possible to estimate the probability of occurrence of some epileptic seizures by using the relative phase clustering index (rPCI).

TL;DR: In this article, the phase clustering of harmonically related frequency components of a subject's MEG/EEG responses evoked by the light stimulation is estimated, which can indicate the presence of nonlinear dynamics.