For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a few seconds before clinical attacks. There is now mounting evidence that seizures develop minutes to hours before clinical onset. This change in thinking is based on quantitative studies of long digital intracranial electroencephalographic (EEG) recordings from patients being evaluated for epilepsy surge...

PURPOSE Data from animal models has nicely shown that inflammatory processes in the central nervous system (CNS) can modulate seizure frequency. However, a potential relationship between the modulation of seizure frequency and gene expression of key inflammatory factors in human epileptic tissue is still unresolved. Brain tissue from pharmacoresistant patients with mesial temporal lobe epilepsy...

Localizing the source of an epileptic seizure using noninvasive EEG suffers from inaccuracies produced by other generators not related to the epileptic source. The authors isolated the ictal epileptic activity, and applied a source localization algorithm to identify its estimated location. Ten ictal EEG scalp recordings from five different patients were analyzed. The patients were known to have...

Some reports have suggested that epileptic seizures might occur more frequently at times of enhanced disturbance of the geomagnetic field. This study examines this putative association using 4101 seizures from 22 epileptic patients where the seizure times were known to within a day or better. A measure of the geomagnet-ic fluctuation level for the seizure day, and the days preceding the seizure...

Abstract Seizure prediction algorithms have been central in the field of data analysis for improvement epileptic patients’ lives. The most recent advancements which include use deep neural networks to present an optimized, accurate seizure system. This work puts forth learning methods automate process detection with electroencephalogram (EEG) signals as input; both a patient-specific and genera...

background and objective: temporal lobe epilepsy is hallmarked with neuronal degeneration in some areas of hippocampus and mossy fiber sprouting in dentate area. considering some evidences on neuroprotective and antioxidant activity of silymarin (sm), this study was undertaken to evaluate the preventive effect of this agent on structural changes in hippocampus of kainate-epileptic rats. materia...

Objectives: To optimize the EEG signals in order to predict epileptic seizures at early stage and improve accuracy level by employing genetic algorithm machine learning methods. Methods: Virus Swarm Particle Optimization Technique (VSPO) based Genetic is utilized for purpose of feature selection Machine Learning SVM technique classification determine seizure or non-seizure. The Discrete Wavelet...

In this paper numerous alternative treatments in addition to pharmacological therapy are proposed for their use in epileptic patients. Epileptic animal models can play a crucial role in the performance evaluation of new therapeutic techniques. The objective of this research is to first develop various epileptic rat models; second, develop a portable wireless closed-loop seizure controller inclu...

In presurgical monitoring, focal seizure onset is visually assessed from intracranial electroencephalogram (EEG), typically based on the selection of channels that show strongest changes in amplitude and frequency. As epileptic dynamics increasingly considered to reflect potentially distributed neural networks, it becomes important also assess interrelationships between channels. We propose a w...

Introduction Juvenile myoclonic epilepsy (JME) is the most common idiopathic generalized epileptic syndrome, mostly initiated before adolescence. It is usually preceded by myoclonic jerks (sudden brief involuntary muscle spasm) in the second decade of life. JME may be presented with different types of seizure activity. Simple bilateral myoclonic seizure is the most seen clinical presentation of...