Literature DB >> 12769430

Dynamical diseases of brain systems: different routes to epileptic seizures.

Fernando H Lopes da Silva1, Wouter Blanes, Stiliyan N Kalitzin, Jaime Parra, Piotr Suffczynski, Demetrios N Velis.   

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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Year:  2003        PMID: 12769430     DOI: 10.1109/TBME.2003.810703

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  52 in total

1.  Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected.

Authors:  Christopher P Warren; Sanqing Hu; Matt Stead; Benjamin H Brinkmann; Mark R Bower; Gregory A Worrell
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

2.  Vulnerability to paroxysmal oscillations in delayed neural networks: a basis for nocturnal frontal lobe epilepsy?

Authors:  Austin Quan; Ivan Osorio; Toru Ohira; John Milton
Journal:  Chaos       Date:  2011-12       Impact factor: 3.642

3.  A Master Plan for the Epilepsies? Toward a General Theory of Seizure Dynamics.

Authors:  Ivan Raikov; Ivan Soltesz
Journal:  Epilepsy Curr       Date:  2015 May-Jun       Impact factor: 7.500

4.  Seizure detection using the phase-slope index and multichannel ECoG.

Authors:  Puneet Rana; John Lipor; Hyong Lee; Wim van Drongelen; Michael H Kohrman; Barry Van Veen
Journal:  IEEE Trans Biomed Eng       Date:  2012-01-18       Impact factor: 4.538

5.  Controlling bursting in cortical cultures with closed-loop multi-electrode stimulation.

Authors:  Daniel A Wagenaar; Radhika Madhavan; Jerome Pine; Steve M Potter
Journal:  J Neurosci       Date:  2005-01-19       Impact factor: 6.167

6.  Proposing a two-level stochastic model for epileptic seizure genesis.

Authors:  F Shayegh; S Sadri; R Amirfattahi; K Ansari-Asl
Journal:  J Comput Neurosci       Date:  2013-06-04       Impact factor: 1.621

7.  Transition to seizures in the isolated immature mouse hippocampus: a switch from dominant phasic inhibition to dominant phasic excitation.

Authors:  M Derchansky; S S Jahromi; M Mamani; D S Shin; A Sik; P L Carlen
Journal:  J Physiol       Date:  2007-11-08       Impact factor: 5.182

8.  Axonal velocity distributions in neural field equations.

Authors:  Ingo Bojak; David T J Liley
Journal:  PLoS Comput Biol       Date:  2010-01-29       Impact factor: 4.475

9.  Investigating neuromagnetic brain responses against chromatic flickering stimuli by wavelet entropies.

Authors:  Mayank Bhagat; Chitresh Bhushan; Goutam Saha; Shinsuke Shimjo; Katsumi Watanabe; Joydeep Bhattacharya
Journal:  PLoS One       Date:  2009-09-25       Impact factor: 3.240

10.  Comparative study of nonlinear properties of EEG signals of normal persons and epileptic patients.

Authors:  Md Nurujjaman; Ramesh Narayanan; An Sekar Iyengar
Journal:  Nonlinear Biomed Phys       Date:  2009-07-20
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