EEG Network Analysis in Epilepsy with Generalized Tonic–Clonic Seizures Alone

Pitetzis, Dimitrios, Frantzidis, Christos, Psoma, Elizabeth , Deretzi, Georgia, Kalogera-Fountzila, Anna, Bamidis, Panagiotis and Spilioti, Martha (2022) EEG Network Analysis in Epilepsy with Generalized Tonic–Clonic Seizures Alone. Brain Sciences, 12 (11). p. 1574. ISSN 2076-3425

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EEG Network Analysis in Epilepsy with Generalized Tonic–Clonic Seizures Alone
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Many contradictory theories regarding epileptogenesis in idiopathic generalized epilepsy have been proposed. This study aims to define the network that takes part in the formation of the spike-wave discharges in patients with generalized tonic–clonic seizures alone (GTCSa) and elucidate the network characteristics. Furthermore, we intend to define the most influential brain areas and clarify the connectivity pattern among them. The data were collected from 23 patients with GTCSa utilizing low-density electroencephalogram (EEG). The source localization of generalized spike-wave discharges (GSWDs) was conducted using the Standardized low-resolution brain electromagnetic tomography (sLORETA) methodology. Cortical connectivity was calculated utilizing the imaginary part of coherence. The network characteristics were investigated through small-world propensity and the integrated value of influence (IVI). Source localization analysis estimated that most sources of GSWDs were in the superior frontal gyrus and anterior cingulate. Graph theory analysis revealed that epileptic sources created a network that tended to be regularized during generalized spike-wave activity. The IVI analysis concluded that the most influential nodes were the left insular gyrus and the left inferior parietal gyrus at 3 and 4 Hz, respectively. In conclusion, some nodes acted mainly as generators of GSWDs and others as influential ones across the whole network.

Keywords:idiopathic generalized epilepsy, generalized tonic-clonic seizures alone (GTCSa), Source Localization, cortical connectivity, small-world propensity, integrated value of influence
Subjects:B Subjects allied to Medicine > B140 Neuroscience
A Medicine and Dentistry > A300 Clinical Medicine
H Engineering > H673 Bioengineering
Divisions:College of Science > School of Computer Science
ID Code:53144
Deposited On:26 Jan 2023 15:20

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