View clinical trials related to Epilepsy.
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This is a single group prospective study to determine the feasibility for generating brain maps that localize cerebral functions and inter-regional information flow in partial epilepsy in adult patients.
This research is being done to determine if Mozart music and/or age-appropriate music can reduce the frequency of seizures and epileptiform discharges.
The primary aim of Part A of the study to assess the efficacy and tolerability of GWP42003-P compared to placebo as an adjunctive treatment for children with Epilepsy with myoclonic-atonic seizures (EMAS) -associated seizures. Part B of this study will be conducted to evaluate the long-term safety and tolerability of GWP42003-P in participants with EMAS.
Epileptic children suffer from impairments in various learning and memory tasks. Yet, no study investigated implicit learning in epileptic children. Implicit learning is not only underlying motor skills acquisition, but also social and cognitive ones. Because acquisition of new skills is optimal during childhood, the study of implicit learning mechanism in children is of major importance. The present study will be the first to explore implicit learning mechanisms in children with epilepsy. Implicit learning mechanisms can be preserved or altered.
Humans have a remarkable ability to flexibly interact with the environment. A compelling demonstration of this cognitive flexibility is human's ability to respond correctly to novel contextual situations on the first attempt, without prior rehearsal. The investigators refer to this ability as 'ad hoc self-programming': 'ad hoc' because these new behavioral repertoires are cobbled together on the fly, based on immediate demand, and then discarded when no longer necessary; 'self-programming' because the brain has to configure itself appropriately based on task demands and some combination of prior experience and/or instruction. The overall goal of our research effort is to understand the neurophysiological and computational basis for ad hoc self-programmed behavior. The previous U01 project (NS 108923) focused on how these programs of action are initially created. The results thus far have revealed tantalizing notions of how the brain represents these programs and navigates through the programs. In this proposal, therefore, the investigators focus on the question of how these mental programs are executed. Based on the preliminary findings and critical conceptual work, the investigators propose that the medial temporal lobe (MTL) and ventral prefrontal cortex (vPFC) creates representations of the critical elements of these mental programs, including concepts such as 'rules' and 'locations', to allow for effective navigation through the algorithm. These data suggest the existence of an 'algorithmic state space' represented in medial temporal and prefrontal regions. This proposal aims to understand the neurophysiological underpinnings of this algorithmic state space in humans. By studying humans, the investigators will profit from our species' powerful capacity for generalization to understand how such state spaces are constructed. The investigators therefore leverage the unique opportunities available in human neuroscience research to record from single cells and population-level signals, as well as to use intracranial stimulation for causal testing, to address this challenging problem. In Aim 1 the investigators study the basic representations of algorithmic state space using a novel behavioral task that requires the immediate formation of unique plans of action. Aim 2 directly compares representations of algorithmic state space to that of physical space by juxtaposing balanced versions of spatial and algorithmic tasks in a virtual reality (VR) environment. Finally, in Aim 3, the investigators test hypotheses regarding interactions between vPFC and MTL using intracranial stimulation.
A prospective controlled, randomized study to examine the effects of behavioral and wellness-based interventions on seizure frequency for adult patients with medication resistant epilepsy who are still experiencing 1 or more seizures per month.
Ιn the present study (BIOEPI), the following three hypotheses will be investigated: 1. The proposed TMS-EEG / EMG protocol (which includes software for calculating the cerebral cortex stimulation threshold) in combination with advanced signal analysis and data mining methods will allow the detection of the effect of antiepileptic drugs (AED) with different mechanisms of action (lacosamide & brivaracetam) in the Central Nervous System under healthy and pathological conditions (Epilepsy). 2. AED-induced changes in selected TMS-EEG / EMG features predict the clinical response of individual epileptic patients to AED. 3. AED-induced changes in selected TMS-EEG / EMG features may predict cognitive side effects.
Levetiracetam is a widely prescribed antiseizure medication in epileptic children due to an estimated better safety profile and easy accessibility. There is limited and contradicting data about the effect of levetiracetam on serum lipid metabolisms, especially in epileptic children. The aim of our study was to evaluate the effect of levetiracetam therapy on lipid metabolism in euthyroid non-obese epileptic children. In this case-control study, the investigators recruited 37 epileptic children receiving levetiracetam monotherapy for at least 12 months and 54 healthy controls. All the participants were euthyroid and within normal nutritional status limits for their age. Fasting blood samples were obtained for serum thyroid-stimulating hormone (TSH), free triiodothyronine, free thyroxine, total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides, Triglyceride/HDL Index, uric acid, CRP, and transaminases at the administration. The investigators would like to show if epileptic children with levetiracetam monotherapy are susceptible to lipid metabolism alterations.
This study is a multi-center, real-word clinical trial. The purpose of this study is to evaluate the safety and effectiveness of perampanel as an add-on treatment for epileptic seizure, and to find the effective maintenance and maximum dose in Chinese children. The enrolled subjects were epilepsy patients between 2 and 12 years of age who had failed clinical treatment with 1-3 anti-epileptic drugs (AEDs) with the optimal dose and course of treatment and needed additional treatment. The study was a real-world prospective clinical study, and the initial and maximum doses of perampanel were individualized by neurologists according to the patient's clinical situation.