View clinical trials related to Seizures.
Filter by:This is a clinical research study for an investigational drug called RAP-219 in patients with Refractory Focal Epilepsy. This study is being conducted to determine if RAP-219 works and is safe in patients with Refractory Focal Epilepsy.
The objectives of this study include: 1) investigating the impact of negative memory substitution on an individual's other intellectual memories (i.e., neutral memories) and the underlying neurocognitive mechanisms; 2) investigating the memory enhancement effect resulting from retrieval practice associated with memory substitution intervention along with an examination of the neurocognitive mechanisms responsible for this enhancement.
The purpose of this study is to help providers develop an interdisciplinary treatment pathway for functional neurological disorder (FND) at University of Alabama at Birmingham (UAB), and will involve psychiatry, speech therapy, physical therapy, and occupational therapy. The study will also help providers to evaluate the treatment pathway and publish results regarding the process and outcomes.
This multisite prospective clinical study is to investigate the relationship between seizure type and frequency with the BioEP result during ASM titration in newly diagnosed patients with epilepsy, and to assess the utility of BioEP as an early prognostic indicator of ASM efficacy
This study wants to make it easier to find kids with a type of epilepsy called childhood absence epilepsy (CAE) who might have problems with ongoing seizures and thinking. Right now, doctors use tests that can be expensive and take a long time. Eysz is developing a system that looks at how kids move their eyes which might help find CAE more quickly and accurately. This study will compare Eysz with the usual tests to see if it can predict seizures and thinking problems in kids with CAE. The goal is to find these problems earlier and help kids do better in school and life.
The goal of this interventional study is to develop a personalized seizure risk forecast tool in people with epilepsy. The main questions it aims to answer are: - can we develop a future seizure probabilities tool that is more accurate than chance based on the pattern and frequency of previous generalized tonic-clonic seizure (GTCS) events, as well as changes in physiological and behavioral variables. - does this tool improve the lives of people with epilepsy? Researchers will compare a group that does not have access to the forecast tool to a group that does and see if it is accurate and if people with it report that it improved their quality of life.
If the seizure is clinically evident and prolonged, the most common first-line agent utilized is phenobarbital.(Glass et al;2016) ,Its mechanism of action is the synaptic inhibition through an action on GABA receptors, It can not only control seizures but also reduce the metabolism of the brain .(Geneva;2011) ,Phenobarbital can control 43-80% of electrical seizures (abnormal electroencephalograms) in newborns.(Sharpe et al;2020) Levetiracetam can also be used for treatment of neonatal seizures, which is safer than phenobarbital, it's mechanism of action is modulation of synaptic neurotransmitter release through binding to the synaptic vesicle protein SV2A in the brain, with less side effects on cognitive development in the levetiracetam treated subjects.(maigre et al;2013)
The purpose of this research study Is to determine the accuracy and reliability of the wearable device in a controlled environment. This study will inform patients, healthcare professionals, and the wider community of the accuracy of the device in detecting seizures.
Some people experience a temporary change in behaviour and consciousness, that often involves a collapse and/or shaking limb movements. These are referred to as 'Dissociative seizures'. Those who experience such seizures have been found to also display high levels of dissociation, which can be described as a change in your conscious experience and may include gaps in your memory for events. It is thought that people who experience dissociative seizures also often have difficulties with their sleep. Having difficulties with sleep may make these seizures and the amount of dissociation an individual experiences worse. Greater dissociation may be additionally linked to worsening dissociative seizures. A psychological treatment for sleep difficulties called Cognitive Behavioural Therapy for Insomnia (CBTi), has been found to be effective in reducing sleep difficulties. The main questions this study aims to answer are: 1. Does brief CBTi (bCBTi) improve sleep difficulties in those with dissociative seizures? 2. Does bCBTi reduce the frequency of dissociative seizures? 3. Does bCBTi reduce self-reported levels of dissociation in participants? 4. Does improving sleep difficulties lead to improvements in quality of life, mood and anxiety levels? 5. Is bCBTi a feasible intervention to administer in an inpatient setting? This study will investigate whether improving sleep by administering a brief version of CBTi leads to an improvement in levels of dissociation and dissociative seizure frequency. It will also investigate whether brief CBTi is a feasible treatment method for sleep difficulties in an inpatient setting. Participants who have dissociative seizures and sleep difficulties that could be diagnosed as insomnia will be randomly assigned to a baseline phase of 5, 7 or 9 days, where they will fill out daily questionnaires on their sleep, dissociation and number of seizures. They will then begin a 10-day intervention phase where they will attend two sessions of brief CBTi, whilst also completing daily measures. This will allow us to see whether their scores on the sleep and dissociation measures improve when the intervention begins. Participants will be asked to wear an Actiwatch during the night, to gather information on their movement levels during the night. Information on changes in quality of life, mood and anxiety levels following the sleep intervention will also be collected.
The purpose of this research is to learn more about how what the Apple watch measures, in terms of walking data, heart rate, breathing rate, and sleep habits, relates to how participants feel. During the course of the treatment, the symptoms participants experience change, and whether the Apple watch can detect these changes. Ultimately, this knowledge is being used to design proactive tools and signatures that can predict complications or symptom changes before they happen.