View clinical trials related to Seizures.
Filter by:Theoretical Framework & Background Cortical spreading depressions (CSD) and seizures, are crucial in the development of delayed cerebral ischemia and poor functional outcome in patients suffering from acute brain injuries such as subarachnoid hemorrhage. Multimodal neuromonitoring (MMNM) provides the unique possibility in the sedated and mechanically ventilated patients to record these electrophysiological phenomena and relate them to measures of cerebral ischemia and malperfusion. MMNM combines invasive (e.g. electrocorticography, cerebral microdialysis, brain tissue oxygenation) and noninvasive (e.g. neuroimaging, continuous EEG) techniques. Additionally, cerebral microdialysis can measure the unbound extracellular drug concentrations of sedatives, which potentially inhibit CSD and seizures in various degrees, beyond the blood-brain barrier without further interventions. Hypotheses 1. Online multimodal neuromonitoring can accurately detect changes in neuronal metabolic demand and pathological neuronal bioelectrical changes in highly vulnerable brain tissue. 2. Online multimodal neuromonitoring can accurately detect the impact of pathological neuronal bioelectrical changes on metabolic demand in highly vulnerable brain tissue. 3. The occurrence and duration of pathological neuronal bioelectrical changes are dependent on sedatives and antiepileptic drug concentrations 4. The occurrence and duration of pathological neuronal bioelectrical changes have a negative impact on functional and neurological long-term patient outcome. 5. Simultaneous invasive and non-invasive multimodal neuromonitoring can identify a clear relationship of both methods regarding pathological neuronal bioelectrical changes and metabolic brain status. Methods Systematic analysis of MMNM measurements following standardized criteria and correlation of electrophysiological phenomena with cerebral metabolic changes in all included patients. In a second step neuroimaging, cerebral extracellular sedative drug concentrations and neurological functional outcome, will be correlated with both electrophysiologic and metabolic changes. Due to numerous high-resolution parameters, machine learning algorithms will be used to correlate comprehensive data on group and individual levels following a holistic approach. Level of originality Extensive, cutting edge diagnostic methods are used to get a better insight into the pathophysiology of electrophysiological and metabolic changes during the development of secondary brain damage. Due to the immense amount of high-resolution data, a computer-assisted evaluation will be applied to identify relationships in the development of secondary brain injury. For the first time systematic testing of several drug concentrations beyond the blood-brain barrier will be performed. With these combined methods, we will be able to develop new cerebroprotective treatment concepts on an individual basis.
For one-third of patients with drug-resistant epilepsy alternative approaches must be investigated in order to improve the quality of their life. A possible approach is to find automatic methods to detect/predict seizures, in order to adopt interventional actions to stop or abort the seizure or to limit its side effect. The main problem in this case is to evaluate the reproducibility of such methods and to standardize them, because there is a lack of availability of long-term electroencephalography (EEG) data. In this study we want to create a large long-term EEG database, called NEED (Neuromed Epilepsy EEG Database), whos aim is to give researchers a way to test their method in a large collection of data. The database will contain long-term EEG recordings of 200 patients as well as extensive metadata and standardized annotation of the data sets and will be made freely available for the download to the research community.
The investigators are recruiting children with Rolandic epilepsy and children without epilepsy (aged 4 years old and above) for a non-invasive brain imaging study using Magnetic Resonance Imaging (MRI), Magnetoencephalography/Electroencephalography (MEG/EEG), and experimental tasks. The investigators hope to determine the brain circuits and brain rhythms affected in these children and ultimately identify new treatment options for childhood epilepsy patients.
The primary objective of this trial is to evaluate the seizure frequency during a course of radiotherapy for high-grade (grade III or IV) gliomas. The patients keep a seizure diary during and up to 6 weeks following radiotherapy. Every day, the patients document the number (and type) of seizures and intake of anti-epileptic medication. At the end of radiotherapy, the patients are asked to complete a questionnaire regarding their satisfaction with the seizure diary. Progression of seizure activity compared to baseline is defined as increase of frequency of seizures by more than 50%, increase of severity of seizures, or as Initiation or increase anti-epileptic medication by at least 25%. To obtain an objective assessment of seizure activity in addition to patient reported outcomes, an electroencephalography (EEG) is performed during the first and the sixth week of radiotherapy, and during the sixth week following radiotherapy. The main goal of the study is to generate objective data regarding the occurrence, frequency and severity of seizures as well as regarding the use of anti-epileptic medication during the course of radiotherapy for high-grade gliomas. These data are used to evaluate the potential effect of radiotherapy on occurrence of seizures in these patients and generate hypotheses. Therefore, statistical analyses of primary and secondary endpoints focus on descriptive methods. If statistical tests are applied, they are to be interpreted from an exploratory perspective. Thirty-two patients with documented start of radiotherapy and any documented diary data at baseline and after start of radiotherapy should be subjected to statistical analysis. Assuming that 10% of patients do not fulfil these requirements, a total of 35 patients should be enrolled to this trial. Recruitment should be completed within 12 months. With this sample size a one-sample binomial test with a one-sided significance level of 2.5% has a power of 80% to yield statistical significance if the rate of patients with progression of seizure events during the course of radiotherapy compared to baseline is 30% (rate under the alternative hypothesis) assuming a 'natural' background progression-rate of 10% without radiotherapy (null hypothesis). If the natural course of the disease would lead to a progression-rate of 5% without radiotherapy only, the power increases to 98%.
The purpose of the study is to evaluate the efficacy of lacosamide (LCM) versus an Active Comparator chosen based on standard of care (StOC) in severe and nonsevere seizure burden (defined as total minutes of electroencephalographic neonatal seizures (ENS) per hour) in neonates with seizures that are not adequately controlled with previous anti-epileptic drug (AED) treatment.
This study is being done to help scientists learn about the use of a device called an atomic magnetometer. The device uses sensors called optically-pumped magnetometers (OPM) which function at room temperature. This research will compare the non-invasive brain imaging application of the OPM sensors to the present SQUID-based cryogenic sensor technique used in conventional Magnetoencephalography (MEG). This study is being conducted in conjunction with the University of Colorado Boulder's Mechanical Engineering Department.
The investigators hypothesize that the participants will be satisfied with artificial-intelligence wristband Embrace
This study will be conducted to evaluate the safety, pharmacokinetics (PK), and efficacy of adjunctive GWP42003-P in participants < 2 years of age with tuberous sclerosis complex (TSC), Lennox-Gastaut syndrome (LGS), or Dravet syndrome (DS).
To study the efficacy and safety of single dose clonazepam compared with intermittent oral diazepam for prevention of recurrent febrile seizures in children who had three or more febrile seizures.
The incidence of provoked and unprovoked seizures is known to increase with advancing age. Eslicarbazepine acetate (ESL) is one of the third generation of antiepileptic drugs (AEDs) that have been developed in the last ten years with a favorable safety profile. ESL is approved in Europe and the USA as adjunctive or monotherapy in adults with partial-onset seizures. Nevertheless, retrospective data in monotherapy condition in the elderly epileptic population are sparse. The aim of the ZEBRE study is to evaluate the efficacy and the safety of ESL in elderly epileptic patients (> 65 years). The completion of this study will provide crucial information on the most appropriate ESL treatment for elderly patients suffering from partial seizures.