View clinical trials related to Epilepsy.
Filter by:Interactions between the perceptual and motor systems are fundamental to the performance of complex motor tasks and are at the heart of the fine motor control required for the production of complex sounds such as speech production or playing a musical instrument. In such situations, the brain must learn to generate relevant motor commands to a sound-producing system with fixed physical characteristics, such as the vocal tract or a musical instrument. No study has yet been able to directly test the dynamic aspect of this sensorimotor learning in an acoustic production task with fine motor control. The Adolphe de Rothschild Foundation Hospital takes care of patients requiring awake surgery. During these procedures, a direct cortical recording, called electro-corticography, is performed in order to better delineate the tumor or epileptogenic resection area. Reference recordings are made in healthy areas at a distance from the lesion site making it possible to record normal brain activity. In this case, we would propose to the patient to use a tool similar to the theremin (a musical instrument the size of a golf ball whose displacement in space modulates the frequency and the harmonics of a sound). The patient should therefore learn in order to create relevant motor patterns.
In December 2019 Vestre Viken Hospital Trust implemented user controlled epilepsy follow-up. Patients receive follow-up questions digitally twice yearly. The questionnaire was made by a multidisciplinary national network of epilepsy experts (EpilepsiNett). Responses to the questionnaire are controlled by an epilepsy nurse, and further follow-up is based on this. Data collected for user controlled follow-up will be matched with data from national registries, investigating whether this type of follow-up influences the patients' clinical course and/or the hospital's and society's use of resources.
The purpose of this research is to see to what extent electrical stimulation applied to the scalp (transcranial direct current stimulation or tDCS) can reduce the number and intensity of epileptic seizures.
This study aims to investigate the efficacy of add-on exogenous ketone esters for treating children with drug-resistant epilepsy
The human gut microbiome has been associated with many health factors but variability between studies limits the exploration of effects between them. This study aims to systematically characterize the gut microbiota of various critical chronic diseases, compare the similarities and differences of the microbiome signatures linked to different regions and diseases, and further investigate their impacts on microbiota-based diagnostic models.
Epilepsy is the 3rd neurological pathology after migraines and dementia syndromes with a high estimate of nearly 600,000 people affected in France. The disease is characterized by the repetition of epileptic seizures on the one hand, but also by the cognitive, behavioral, psychological and social consequences of this condition, especially when the epileptic disease is not stabilized. Epileptic patients feel a great deal of stress due to the unpredictability of the occurrence of seizures. Seizure detection is of great interest to bioinformatics researchers and to people with epilepsy and their caregivers. Recent advances in physiological sensor technologies and artificial intelligence have opened the possibility of developing systems capable of closely monitoring the frequency of epileptic seizures with a direct impact on therapeutic adaptations. This may eventually allow for seizure prediction and/or "seizure weather" (i.e., seizure forecasting) if there is a particular chronotype of seizure occurrence for a given individual. Currently, few devices have a sufficient level of evidence regarding their effectiveness to be recommended. Those that seem to be the most advanced are those that allow the identification of hypermotor seizures, including tonic-clonic generalized seizures and tonic-clonic secondary generalized focal seizures, mostly occurring at night. The latter represent only a small part of epileptic seizures. The objective of the present study is to build a real life database in order to develop a seizure detection algorithm. The recorded data will be heart rate via ECG and movement data via 9 variables measured on 3 axes x, y, z, with 3 sensors: accelerometer, gyroscope, magnetometer. These data will be collected using a connected patch available on the market (CE marking). At the same time, the patients will benefit from a long term video-EEG examination which will be annotated by the doctors and will be used as a gold standard for the identification of seizures in order to train the algorithm. This more complete base will be used to develop an algorithm previously developed from retrospective data.
Epilepsy is a chronic neurological disorder affecting millions of people all over the world. Epileptic seizures are caused by abnormal synchronized electrical neuronal discharges that could be either focal or widespread. Pathogenesis of epilepsy involves multiple processes including genetics, oxidative stress, ion channels, neuroinflammation, and cellular damage through autophagy and apoptosis. Neuroinflammation is considered one of the most important factors contributing critically to epileptogenesis.
The goal of this observational study is to learn more about phenotypic, genetic, biochemical, neurophysiological and radiological patterns in epilepsy. Participants will be asked to consent to use of clinical and paraclinical data (obtained during standard care) for research, and will be asked to donate blood samples at their routine clinic visits.
This project is a prospective, randomized, placebo-controlled, double-blind study that will evaluate the clinical efficacy of everolimus as an adjunctive treatment in adult patients diagnosed with refractory epilepsy.
Out of 30,000 new cases per year in France, 30% of epileptic patients are drug-resistant. Neurosurgery, which consists in resecting the epileptogenic zone, is the only chance of cure. In the case of temporal epilepsy of the language-dominant hemisphere (TLE), this procedure presents a high risk of increasing cognitive difficulties and may even be contraindicated for this reason alone. The difficulties found are impairments in lexical access (anomia) and verbal memory and affect more than 60% of patients . Preoperative cognitive rehabilitation could influence brain plasticity mechanisms but there are currently no recommendations on this topic. In this context, the investigators have developed a speech rehabilitation procedure specific to the needs of ELTPR patients. They rely on cognitive hypotheses explaining the disorders but also on models of rehabilitation-induced neural plasticity likely to improve cognitive reserve before surgery. The investigators hypothesize that preoperative cognitive language rehabilitation in ELTPR patients may decrease surgical risk and improve postoperative language prognosis. The primary objective is to demonstrate the protective efficacy of preoperative speech rehabilitation on language performance postoperatively.