s are listed alphabetically by title within topics. Poster Topic Page Number Numbers 1-16 Seizure Prediction and Detection ............................................. Page 30 17-26 Neural Models and Mechanisms .............................................. Page 42 27-30 Epilepsy Connectome .............................................................. Page 50 31-35 Seizure Intervention .........

Objective: Regarding the anticonvulsant effects of Satureja hortensis (S. hortensis) in Avicenna’s book: canon of medicine; the present study was undertaken to evaluate the anti- eplileptic effects of S. hortensis aqueous and ethanolic aerial part extracts. Furthermore, the mechanisms of their anticonvulsant activities were also evaluated. Materials and Methods: Seizure was induced by Pentylen...

This study proposes a method of automatic detection of epileptic seizure event and onset using wavelet based features and certain statistical features without wavelet decomposition. Normal and epileptic EEG signals were classified using linear classifier. For seizure event detection, Bonn University EEG database has been used. Three types of EEG signals (EEG signal recorded from healthy volunte...

This paper presents a method to reduce artifacts from scalp EEG recordings to facilitate seizure diagnosis/detection for epilepsy patients. The proposed method is primarily based on stationary wavelet transform and takes the spectral band of seizure activities (i.e. 0.5 29 Hz) into account to separate artifacts from seizures. Different artifact templates have been simulated to mimic the most co...

A method for the automatic detection of seizure in newborns is presented. The proposed method is derived from the ability to detect changes in signal structure as the newborn EEG changes from the background state to the seizure state. Matching Pursuit decomposition technique, with an overcomplete time−frequency dictionary, is shown to be an adequate technique for detecting changes in signal str...

Previous techniques for seizure detection in newborn are inefficient. The main reason for their relative poor performance resides in their assumption of stationarity of the EEG. To remedy this problem, we use time-frequency distributions (TFD) to analyse and characterise the newborn EEG seizure patterns as a first step toward a time-frequency (TF) based seizure detection and classification sche...

objective the aim of the present study was to evaluate the efficacy and tolerability of a modified atkins diet for intractable childhood epilepsy. materials & methods twenty one children with medically intractable epilepsy were enrolled in the study. inclusion criteria were at least four seizures per month and a trial of at least three anticonvulsants without becoming seizure-free. the subjects...

objective the first attack of unprovoked seizure is more frequent than recurrent one and neuroimaging is one of the main parts of the evaluation of these attacks in order to demonstrate the cause and predict the prognosis. the aim of this study was to determine the incidence of abnormal neuroimaging and related factors in children with the first unprovoked seizure. materials & methods a 7-year ...