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Journal ArticleDOI

Dynamical diseases of brain systems: different routes to epileptic seizures

TLDR
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.
Abstract
In this overview, we consider epilepsies as dynamical diseases of brain systems since they are manifestations of the property of neuronal networks to display multistable dynamics. To illustrate this concept we may 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 ictal state, that is characterized by paroxysmal occurrence of synchronous oscillations and is generally called, in neurology, a seizure. The transition between these two states can either occur: 1) as a continuous sequence of phases, like in some cases of mesial temporal lobe epilepsy (MTLE); or 2) as a sudden leap, like in most cases of absence seizures. In the mathematical terminology of nonlinear systems, we can say that in the first case the system's attractor gradually deforms from an interictal to an ictal attractor. The causes for such a deformation can be either endogenous or external. In this type of ictal transition, the seizure possibly may be anticipated in its early, preclinical phases. In the second case, where a sharp critical transition takes place, we can assume that the system has at least two simultaneous interictal and ictal attractors all the time. To which attractor the trajectories converge, depends on the initial conditions and the system's parameters. An essential question in this scenario is how the transition between the normal ongoing and the seizure activity takes place. Such a transition can occur either due to the influence of external or endogenous factors or due to a random perturbation and, thus, it will be unpredictable. These dynamical changes may not be detectable from the analysis of the ongoing EEG, but they may be observable only by measuring the system's response to externally administered stimuli. In the special cases of reflex epilepsy, the leap between the normal ongoing attractor and the ictal attractor is caused by a well-defined external perturbation. Examples from these different scenarios are presented and discussed.

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Citations
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Journal ArticleDOI

Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field

TL;DR: Interpretation of results in terms of 'functional sources' and 'functional networks' allows the identification of three basic patterns of brain dynamics: normal, ongoing dynamics during a no-task, resting state in healthy subjects, and hypersynchronous, highly nonlinear dynamics of epileptic seizures and degenerative encephalopathies.
Journal ArticleDOI

Graph theoretical analysis of complex networks in the brain

TL;DR: These studies suggest that the human brain can be modelled as a complex network, and may have a small-world structure both at the level of anatomical as well as functional connectivity, and increasing evidence that various types of brain disease may be associated with deviations of the functional network topology from the optimal small- world pattern.
Journal ArticleDOI

On the nature of seizure dynamics

TL;DR: A taxonomy of seizures based on first principles is established and only five state variables linked by integral-differential equations are sufficient to describe the onset, time course and offset of ictal-like discharges as well as their recurrence.
Journal ArticleDOI

Controlling Bursting in Cortical Cultures with Closed-Loop Multi-Electrode Stimulation

TL;DR: It is concluded that externally applied electrical stimulation can substitute for natural inputs to cortical neuronal ensembles in transforming burst-dominated activity to dispersed spiking, more reminiscent of the awake cortex in vivo.
Journal ArticleDOI

Single-neuron dynamics in human focal epilepsy

TL;DR: In this paper, the spike train patterns of single neurons during seizures in human epilepsy patients were analyzed and it was found that spiking activity during seizure initiation was highly heterogeneous in small cortical patches and across the network.
References
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TL;DR: In the new edition of this classic textbook, the most important change is the addition of a completely new chapter on control and synchronization of chaos as mentioned in this paper, which will be of interest to advanced undergraduates and graduate students in science, engineering and mathematics taking courses in chaotic dynamics, as well as to researchers in the subject.

Chaos in dynamical systems

TL;DR: In the new edition of this classic textbook, the most important change is the addition of a completely new chapter on control and synchronization of chaos as discussed by the authors, which will be of interest to advanced undergraduates and graduate students in science, engineering and mathematics taking courses in chaotic dynamics, as well as to researchers in the subject.
Journal ArticleDOI

The functional states of the thalamus and the associated neuronal interplay.

TL;DR: Preface .............................................................. 649 http://tinyurl.com/y7s7s3s3d8/
Journal ArticleDOI

Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena.

TL;DR: An experiment, where ten human subjects were presented flickering light at frequencies from 1 to 100 Hz in 1-Hz steps, and the event-related potentials exhibited steady-state oscillations at all frequencies up to at least 90 Hz, which could be a potential neural basis for gamma oscillations in binding experiments.
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