Characterizing Focal and Generalized Epileptic Networks Using Interictal Functional Connectivity Conference

Zarafshan, E, Rajaei, H, Forouzannezhad, P et al. (2020). Characterizing Focal and Generalized Epileptic Networks Using Interictal Functional Connectivity . 1535-1540. 10.1109/CSCI51800.2020.00285

cited authors

  • Zarafshan, E; Rajaei, H; Forouzannezhad, P; Morar, U; Cabrerizo, M; Adjouadi, M

authors

abstract

  • Using electroencephalography (EEG) data from epileptic patients1, we investigated and compared functional connectivity networks of three various types of epileptiform discharges (ED; single, complex repetitive spikes) in 4 regions of the brain. Our results showed different connectivity patterns among three ED types within-and between-brain regions. The one-way ANOVA test indicated significant differences between the mean of the average connectivity matrices (ACMs) of the single spike, which characterize focal epilepsy, and the other two ED types (complex repetitive) which characterize generalized epilepsy. The interictal EEG segments, through the connectivity patterns they yield, could be considered as one of the key indicators for the diagnosis of focal or generalized epilepsy.

publication date

  • December 1, 2020

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

start page

  • 1535

end page

  • 1540