Background and Objective: Copper is one of the main micronutrients of body which plays a key role as a cofactor in the function of metabolic enzymes. Previous studies have shown that copper sulfate () inhibits long-term potentiation (LTP) in slices of hippocampal CA1 region. Whereas LTP is involved in learning and epilepsy, it seems that copper effects on LTP could be associated with its effect...

Objective: This study proposes a new approach for offline seizure detection in intracranial (subdural) electroencephalogram recordings using nonlinear decision functions. It implements well-established features that are designed to deal with complex signals, such as brain recordings, and proposes a two-dimensional (2D) domain of analysis that overcomes the dilemma faced with the selection of em...

Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as fractures, submersion, burns, motor vehicle accidents and even death. It is highly possible to prevent these unwanted situations if we can predict/det...

Epilepsy is one of the most common neurological disorders, by which around 1% of the people in the world are affected. Unfortunately, 25% of the epilepsy patients cannot be treated sufficiently by antiepileptic drugs and epilepsy surgery. If seizures cannot be well controlled, the patients experience major limitations in their lives. In recent years, open-loop seizure controllers, such as vagus...

Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting over 50 million individuals worldwide. The Electroencephalogram (EEG) is the most influential technique in detection of epileptic seizures. In recent years, many research works have been devoted to the detection of epileptic seizures based on ...

This article addresses the problem of real-time seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously maximizing sensitivity and minimizing latency and false detection rates has been challenging as thes...

Hyperdimensional (HD) computing is a form of brain-inspired which can be applied to numerous classification problems. In past research, it has been shown that seizures detected from electroencephalograms (EEG) with high accuracy using local binary pattern (LBP) encoding. This paper explores applicability HD seizure detection intra-cranial EEG (iEEG) data the Kaggle contest based on both LBP and...

Due to the unpredictable interruptions within functions of human brain, disturbance occurs and it affects behavior is equally laid low with frequent occurrence termed as seizures. Therefore, proposed system detects seizure using machine learning algorithms. The electroencephalogram (EEG) contains information brain detect seizure. objective evaluate performance classifiers K-nearest neighbors (K...

OBJECTIVE Some studies suggest that detection of epileptic discharge is unusual during the first postictal week of febrile seizure and others believe that EEGs carried out on the day of the seizure are abnormal in as many as 88% of the patients. In this study, we intend to compare early and late EEG abnormalities in febrile seizure. MATERIALS & METHODS EEG was recorded during daytime sleep, 2...

how to cite this article: saeedi borujeni mj, hami j, haghir h, rastin m, sazegargh. evaluation of bax and bcl-2 proteins expression in the rat hippocampus due to childhood febrile seizure. iran j child neurol. winter 2016; 10(1):53-60. abstract objective simple febrile seizure (sfs) is the most common seizure disorder in childhood, and is frequently described as inoffensive disorder. neverthel...