In this paper, we introduce a machine learning methodology for localising the seizure onset zone in subjects with epilepsy. We represent brain states as functional networks obtained from intracranial electroencephalography recordings, using correlation and phase-locking value to quantify coupling between different areas. Our method is based on graph neural (GNNs) attention mechanism, two of mos...

how to cite this article: taghdiri mm, nemati h. infantile spasm: a review article. iran j child neurol. 2014 summer;8(3): 1-5. abstract objective infantile spasm (is) is a convulsive disease characterized by brief, symmetric axial muscle contraction (neck, trunk, and/or extremities). is is a type of seizure that was first described by west in 1841, who witnessed the seizure in his own son. wes...

Magnetic resonance imaging (MRI)-negative epilepsy is associated with poor clinical outcomes prognosis. The present study was aimed to assess whether intracranial 3D interictal and ictal electroencephalography (EEG) findings, a combination of EEG at a different depth, in addition to clinical, scalp EEG, and positron emission tomography-computed tomography (PETCT) data help to predict outcome in...

Recent advances in electroencephalography (EEG) research are presented. Particular emphasis is placed on sleep and epilepsy research in humans. In this context, among others, studies on the modifications of EEG epileptic activity during sleep are discussed in more detail. A large number of reports come from EEG monitoring during presurgical evaluation and surgical treatment of drug-resistant ep...

Epilepsy is a neurological disorder characterized by recurrent seizures due to spontaneous changes of chemical synaptic coupling within the central nervous system. Numerous studies have been done in order increase level cognition epilepsy. Electroencephalography (EEG) as non-invasive technique with ability presenting potentials on head surface neural activity widely used epilepsy studies. The s...

Several methods have been suggested to predict the onset of epileptic seizures from EEG data. We evaluated the performance of three predictions methods: the “dynamical similarity index”, the “effective correlation dimension” and an extended, prospective version of the “accumulated energy”. These prediction methods were applied on a large pool of intracranial EEG data from 21 patients. Altogethe...