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Creators/Authors contains: "Rajaei, Hoda"

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  1. ; ; ; ; ; ; ( , IEEE Access)
  2. ; ; ; ; ; ( , 2020 International Conference on Computational Science and Computational Intelligence (CSCI))
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    Using electroencephalography (EEG) data from epileptic patients 1 , 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. 
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  3. ; ; ; ; ; ; ; ( , IEEE Access)