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Electroencephalography (EEG) remains a vital tool in the diagnostic evaluation of patients with epilepsy (GE), however, there is scarcity of information on the yield and potential clinical variables that are associated with EEG abnormalities in people with GE. The study aimed to evaluate the yield and pattern of EEG abnormalities in patients with GE with the view to determining factors that are independently associated with abnormal EEG in them. We characterized EEG features and evaluated associated factors in a sample of people with GE
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