One of the most challenging tasks with Electroencephalography (EEG) signals is the automated epileptic seizure detection. Traditional automated epileptic seizure detection approaches focus on time or frequency domain to analyse EEG signals. A novel technique for epileptic seizure detection is proposed in this paper, which is based on complex networks synchronous state. The concept of complex ne...

OBJECTIVE We identified clinical risk factors for seizure-related motor vehicle crashes in patients with epilepsy. BACKGROUND Current US laws permit epilepsy patients with controlled seizures to drive. These laws attempt to balance the important economic and social value of driving with the risk to public safety from seizure-related crashes. Various clinical factors are considered in these la...

BACKGROUND Little is known about the relationship between types of healthcare providers and outcomes in patients with epilepsy. This study compares the relative effects of provider type (epileptologist vs. other neurologist) and pharmacologic treatment (newer vs. older antiepileptic drugs) on seizure control in patients with epilepsy. METHODS We conducted a retrospective study of patients wit...

Considering the burden of epilepsy on society, investigation of the health-related quality of life (HRQoL) is essential for the better future targeting, optimization of current interventions and managing strategies for epilepsy. Nineteen HRQoL were investigated in this review. Increases in seizure incidence, level of depression and seizure severity were significantly related to reduced HRQoL. T...

Epilepsy represents a multifaceted group of disorders divided into two broad categories, partial and generalized, based on the seizure onset zone. The identification of the neuroanatomic site of seizure onset depends on delineation of seizure semiology by a careful history together with video-EEG, and a variety of neuroimaging technologies such as MRI, fMRI, FDG-PET, MEG, or invasive intracrani...

Sonification refers to a process by which data are converted into sound, providing an auditory alternative to visual display. Currently, the prevalent method for diagnosing seizures in epilepsy is by visually reading a patient's electroencephalogram (EEG). However, sonification of the EEG data provides certain advantages due to the nature of human auditory perception. We hypothesized that human...

The question whether information extracted from the electroencephalogram (EEG) of epilepsy patients can be used for the prediction of seizures has recently attracted much attention. Several studies have reported evidence for the existence of a preseizure state that can be detected using different measures derived from the theory of dynamical systems. Most of these studies, however, have neglect...

Neuroimaging is one of the most important advances made in the past decade in the management of seizure disorders. Magnetic resonance imaging (MRI) has increased substantially the ability to detect causes of seizure disorders, to plan medical or surgical therapy, and to prognosticate the outcome of disorders and therapy. However, MRI must be performed with techniques that will maximize the dete...

BACKGROUND/AIM Children with epilepsy have reduced health-related quality of life (HRQOL) due to disease and medications. We aimed to assess child-reported HRQOL in Indian children with epilepsy and compare it with that in healthy children. MATERIALS AND METHODS A cross-sectional study of 256 children with epilepsy aged between 5 and 18 years on antiepileptic drug (AED) treatment for at least...