Literature DB >> 12769433

Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings.

Mario Chávez1, Michel Le Van Quyen, Vincent Navarro, Michel Baulac, Jacques Martinerie.   

Abstract

The mechanisms underlying the transition of brain activity toward epileptic seizures remain unclear. Based on nonlinear analysis of both intracranial and scalp electroencephalographic (EEG) recordings, different research groups have recently reported dynamical smooth changes in epileptic brain activity several minutes before seizure onset. Such preictal states have been detected in populations of patients with mesial temporal lobe epilepsy (MTLE) and, more recently, with different neocortical partial epilepsies (NPEs). In this paper, we are particularly interested in the spatio-temporal organization of epileptogenic networks prior to seizures in neocortical epilepsies. For this, we characterize the network of two patients with NPE by means of two nonlinear measures of interdependencies. Since the synchronization of neuronal activity is an essential feature of the generation and propagation of epileptic activity, we have analyzed changes in phase synchrony between EEG time series. In order to compare the phase and amplitude dynamics, we have also studied the degree of association between pairs of signals by means of a nonlinear correlation coefficient. Recent findings have suggested changes prior to seizures in a wideband frequency range. Instead, for the examples of this study, we report a significant decrease of synchrony in the focal area several minutes before seizures (>>30 min in both patients) in the frequency band of 10-25 Hz mainly. Furthermore, the spatio-temporal organization of this preictal activity seems to be specifically related to this frequency band. Measures of both amplitude and phase coupling yielded similar results in narrow-band analysis. These results may open new perspectives on the mechanisms of seizure emergence as well as the organization of neocortical epileptogenic networks. The possibility of forecasting the onset of seizures has important implications for a better understanding, diagnosis and a potential treatment of the epilepsy.

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Year:  2003        PMID: 12769433     DOI: 10.1109/TBME.2003.810696

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


  26 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

2.  Phase synchronization measurements using electroencephalographic recordings: what can we really say about neuronal synchrony?

Authors:  Ramón Guevara; José Luis Pérez Velazquez; Vera Nenadovic; Richard Wennberg; Goran Senjanovic; Luís Garcia Dominguez
Journal:  Neuroinformatics       Date:  2005

3.  Cortical abnormalities in epilepsy revealed by local EEG synchrony.

Authors:  C A Schevon; J Cappell; R Emerson; J Isler; P Grieve; R Goodman; G McKhann; H Weiner; W Doyle; R Kuzniecky; O Devinsky; F Gilliam
Journal:  Neuroimage       Date:  2007-01-16       Impact factor: 6.556

4.  Self-organized criticality and the development of EEG phase reset.

Authors:  Robert Wayne Thatcher; Duane Michael North; Carl John Biver
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

5.  Hippocampal effective synchronization values are not pre-seizure indicator without considering the state of the onset channels.

Authors:  F Shayegh; S Sadri; R Amirfattahi; K Ansari-Asl; J J Bellanger; L Senhadji
Journal:  Network       Date:  2014-07-25       Impact factor: 1.273

Review 6.  Role of multiple-scale modeling of epilepsy in seizure forecasting.

Authors:  Levin Kuhlmann; David B Grayden; Fabrice Wendling; Steven J Schiff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

7.  Mesoscopic neuron population modeling of normal/epileptic brain dynamics.

Authors:  Mark H Myers; Robert Kozma
Journal:  Cogn Neurodyn       Date:  2017-12-26       Impact factor: 5.082

8.  Enhanced synchrony in epileptiform activity? Local versus distant phase synchronization in generalized seizures.

Authors:  Luis Garcia Dominguez; Richard A Wennberg; William Gaetz; Douglas Cheyne; O Carter Snead; Jose Luis Perez Velazquez
Journal:  J Neurosci       Date:  2005-08-31       Impact factor: 6.167

9.  Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients.

Authors:  Sina Farahmand; Tiwalade Sobayo; David J Mogul
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-11-15       Impact factor: 3.802

10.  Comparison and regulation of neuronal synchronization for various STDP rules.

Authors:  Yanhua Ruan; Gang Zhao
Journal:  Neural Plast       Date:  2009-07-16       Impact factor: 3.599

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