View clinical trials related to Epilepsy.
Filter by:The aim of the study; to determine the effect of education program given to adolescents diagnosed with epilepsy and their parents based on Ryan and Sawin's individual and family self-management theory, on adolescents 'attitudes towards disease, self-efficacy, quality of life and parents' nurse-parent support levels.
The Epios early feasibility study aims to explore the uses of novel sub-scalp lead devices in the detection of epileptic seizures. Epios leads are inserted subcutaneously through dedicated tunneling toolkits and have been designed for continuous EEG recording in inpatients. This clinical investigation is part of a stepwise program to validate the entire Epios system and it starts with the validation of the Epios leads alone in this two steps study.
This project aims to conduct a pilot study based on the targeting of the epileptogenic zone previously localized very precisely by stereoelectroencephalography (SEEG). SEEG is used as part of the pre-surgical assessment. It consists, thanks to the intracerebral implantation of electrodes in the brain of patients, to perform an intracerebral electrophysiological recording and thus to precisely explore the epileptogenic regions. In order to study the neuromodulatory and therapeutic effects of tDCS on epileptic brains, non-invasive techniques for measuring electrophysiological brain activity such as magnetoencephalography (MEG) and high-resolution electroencephalography (HR EEG) will be used. Finally, since epilepsy is considered to be a disorder of brain functional networks associated with disturbed brain connectivity, the effects of tDCS on cortical excitability by studying the variations in functional connectivity induced by stimulation will be studied.
This study aims to investigate the effect of a short-term prescription of ciprofloxacin on intestinal microbial pattern and seizure frequency of patients with drug-resistant epilepsy.
Increased computational power has made it possible to implement complex image recognition tasks and machine learning to be implemented in every day usage. The computer vision and machine learning based solution used in this project (Nelli) is an automatic seizure detection and reporting method that has a CE mark for this specific use. The present study will provide data to expand the utility and detection capability of NELLI and enhance the accuracy and clinical utility of automated computer vision and machine learning based seizure detection.
Epilepsy surgery is effective for refractory epilepsy, particularly focal epilepsy, but is still underutilized worldwide. In the United States, the annual percentage of surgical procedures for refractory epilepsy was low (range: 0.35%-0.63%) from 2003 to 2012. Fear associated with the risks of invasive procedures may be the reason for the cautious attitude towards epilepsy surgery. Therefore, the risks of epilepsy surgery in the modern age need to be evaluated thoroughly and precisely to improve epilepsy surgery outcomes. The safety of epilepsy surgery has been confirmed in several studies. Studies on this topic with large sample sizes (> 500 patients) were either multicenter or covered a long study period. In addition, high-resolution magnetic resonance imaging (MRI) was not used in the early stage in these studies. Differences in medical environment among epilepsy centers and advancements in presurgical evaluations and surgical techniques over time may have caused heterogeneity and biases, thereby limiting the quality of these studies. Over the past two decades, there was no large-scale studies on post-epilepsy surgery complications performed at a single center. Moreover, surgery-related complications are seldom graded according to severity. Especially, the risk factors for these complications remain unclear.
This retrospective study aimed to develop a new approach for automatic localization of epilepsy foci in children with epilepsy.
This research is a feasibility study on a new generation of brain magnetic activity sensor which should allow the development of this modality, until now limited by its cost to a few large university centers. The measurement of magnetic activity allows the detection and localization of abnormal activities such as paroxysmal events occurring between seizures in patients with epilepsy as well as research into brain function. It is the only one, along with EEG and related techniques, to provide data related to the speed of the brain. MEG, by virtue of the properties of magnetic fields, has a greater potential than EEG for the detection and localization of the neuronal sources which cause it. The MEG sensors used until now use Superconducting Quantum Interference Devices (SQUID) components that are extremely sensitive but require complex instrumentation and only operate under superconducting conditions, resulting in prohibitive maintenance and cost. The alternative could come from a new magnetic activity sensor: the optical pumping magnetometers of the alkaline type. This preliminary study proposes to compare SQUID sensors with MPO He4 sensors for their ability to detect abnormal activities recorded in epileptic patients. Measurements that cannot be recorded simultaneously Two types of measurement will be compared with the reference that constitutes in-depth recording (Stereotactic-EEG or SEEG) used to precisely define the region of the brain to be resected in order to cure epileptic patients of their seizures. The expected results are a capacity of this type of sensors to detect epileptic activities equivalent to that of SQUIDs.
PDE MAX is a single arm prospective, feasibility study in up to 15 participants aged one (1) year and over of PDE MAX for the dietary management of Pyridoxine Dependent Epilepsy.
The aim of the study is to compare the effect of melatonin, given orally, dexmedetomidine, given intranasally, and dexmedetomidine given sublingually on sleep induction, sleep duration, their possible impact on vital functions and technical implementation of EEG.