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. 2009:2009:2220-3.
doi: 10.1109/IEMBS.2009.5334866.

Analysis of epileptogenic network properties during ictal activity

Affiliations

Analysis of epileptogenic network properties during ictal activity

Christopher Wilke et al. Annu Int Conf IEEE Eng Med Biol Soc. 2009.

Abstract

In the present study, we utilize methods from graph theory to analyze epileptogenic network properties during periods of ictal activity. Using these methods, we analyzed the DTF-based causal information flow in nine seizures recorded from two patients undergoing presurgical monitoring for the treatment of medically intractable epilepsy. From the results, we observed a high degree of correlation between the regions with a high amount of information outflow (termed the outdegree) and the cortical areas identified clinically as the generators of the ictal activity. We furthermore observe a frequency-dependent correlation between the co-localization of these "activated regions" and the clinical foci. These findings suggest that application of network analysis tools to ictal activity could provide clinically useful information concerning these epileptogenic networks.

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Figures

Fig. 1
Fig. 1
(a) The SOZ identified clinically in the first patient is shown highlighted in red. The activated regions in one of the analyzed seizures corresponding to the theta, alpha, beta and gamma frequency bands are shown in (b-e) respectively.
Fig. 2
Fig. 2
The activated regions obtained from a typical analyzed seizure in the second patient. The labels are the same as in Figure 1.
Fig. 3
Fig. 3
The percentage of overlap between the activated regions and the clinical SOZ. The median value for each frequency band is shown in red while the lower and upper edges of each box represent the lower and upper quartiles respectively. The whiskers display the total range of the observed data. The percentage overlap of both the beta and gamma bands with the SOZ was found to be significantly greater than the overlap between the theta band and the SOZ (Wilcoxon rank-sum test; p<0.05).

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