Efforts to construct an effective brain-computer interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) commonly focus on sophisticated mathematical methods for data analysis. The role of different stimulus features in evoking strong SSVEP is less often considered and the knowledge on the optimal stimulus properties is still fragmentary. The goal of this study was to provide insight into the influence of stimulus characteristics on the magnitude of SSVEP response. Five stimuli parameters were tested: size, distance, colour, shape, and presence of a fixation point in the middle of each flickering field. The stimuli were presented on four squares on LCD screen, with each square highlighted by LEDs flickering with different frequencies. Brighter colours and larger dimensions of flickering fields resulted in a significantly stronger SSVEP response. The distance between stimulation fields and the presence or absence of the fixation point had no significant effect on the response. Contrary to a popular belief, these results suggest that absence of the fixation point does not reduce the magnitude of SSVEP response. However, some parameters of the stimuli such as colour and the size of the flickering field play an important role in evoking SSVEP response, which indicates that stimuli rendering is an important factor in building effective SSVEP based BCI systems.

Vagus nerve stimulation therapy is a safe and effective adjunctive treatment for children and adolescents of all ages with drug-resistant epilepsy.

This paper introduces a freely accessible database http://eeg.pl/epi, containing 23 datasets from patients diagnosed with and operated on for drug-resistant epilepsy. This was collected as part of the clinical routine at the Warsaw Memorial Child Hospital. Each record contains (1) pre-surgical electroencephalography (EEG) recording (10–20 system) with inter-ictal discharges marked separately by an expert, (2) a full set of magnetic resonance imaging (MRI) scans for calculations of the realistic forward models, (3) structural placement of the epileptogenic zone, recognized by electrocorticography (ECoG) and post-surgical results, plotted on pre-surgical MRI scans in transverse, sagittal and coronal projections, (4) brief clinical description of each case. The main goal of this project is evaluation of possible improvements of localization of epileptic foci from the surface EEG recordings. These datasets offer a unique possibility for evaluating different EEG inverse solutions. We present preliminary results from a subset of these cases, including comparison of different schemes for the EEG inverse solution and preprocessing. We report also a finding which relates to the selective parametrization of single waveforms by multivariate matching pursuit, which is used in the preprocessing for the inverse solutions. It seems to offer a possibility of tracing the spatial evolution of seizures in time.

The purpose of this paper is to present a novel technique of implantation of foramen ovale electrodes under neuronavigation guidance. The technique is simple, safe, and effective, greatly reducing the patient's trauma, the operating time, and the surgeon's stress.

Introduction. Epilepsy is a persistent neurological condition characterized by frequent seizures that are not triggered by an environmental or reversible stimulus.Although not yet widely used, mobile health (mHealth) innovations have enhanced epilepsy care and prevention and are expected to play an increasing role in the ownership of smartphones, wearable devices and innovation in medical technology. Aim. The present review paper aims to summarize the current state of knowledge regarding the use of mHealth tools in epilepsy management. Discussion and Conclusions. In this paper, we review available mHealth tools that influence key epilepsy management elements. These components include patient education, self-management directly affecting seizure control, diagnosis and therapy, and managing medical data. mHealth solutions are a promising approach to epilepsy self-management; further work is needed to explore their effectiveness.