DocumentCode :
1195359
Title :
Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings
Author :
Chávez, Mario ; Van Quyen, Michel Le ; Navarro, Vincent ; Baulac, Michel ; Martinerie, Jacques
Author_Institution :
Lab. de Neurosciences Cognitives et Imagerie Cerebrale, CNRS-UPR, Paris, France
Volume :
50
Issue :
5
fYear :
2003
fDate :
5/1/2003 12:00:00 AM
Firstpage :
571
Lastpage :
583
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.
Keywords :
brain models; correlation methods; diseases; electroencephalography; medical signal detection; medical signal processing; neurophysiology; nonlinear dynamical systems; spatiotemporal phenomena; synchronisation; time series; 10 to 25 Hz; EEG; EEG time series; amplitude couplings; amplitude dynamics; brain activity; dynamical smooth changes; epileptic activity; epileptic brain activity; epileptic seizures; epileptogenic networks; intracranial recordings; mesial temporal lobe epilepsy; narrow-band analysis; neocortical partial epilepsies; neocortical seizures; neuronal activity synchronization; nonlinear analysis; nonlinear correlation coefficient; nonlinear interdependency measures; phase couplings; phase dynamics; phase synchrony; pre-ictal states; scalp electroencephalographic recordings; spatio-temporal dynamics; spatio-temporal organization; wideband frequency range; Brain; Electroencephalography; Epilepsy; Frequency synchronization; Narrowband; Phase measurement; Scalp; Temporal lobe; Time series analysis; Wideband; Adult; Algorithms; Brain Mapping; Electroencephalography; Epilepsy; Fourier Analysis; Humans; Male; Models, Neurological; Neocortex; Nerve Net; Nonlinear Dynamics; Seizures; Signal Processing, Computer-Assisted; Statistics as Topic;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2003.810696
Filename :
1198247
Link To Document :
بازگشت