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Showing 1-20 of 586 trials
NCT02531880
Background: \- The blood-brain barrier separates the brain from the rest of the body. Epilepsy is a neurological disease that causes seizures. It can affect this barrier. Researchers think a contrast agent called mangafodipir might be better able to show areas of the brain that epilepsy affects. Objective: \- To see if mangafodipir is well tolerated and safe. To see if it can show, on an MRI, areas of the brain that epilepsy affects. Eligibility: * People ages 18-60 who: * Have epilepsy not controlled by drugs * Prior or concurrent enrollment in 18-N-0066 is required Design: * Participants will be screened with: * Medical history * Physical exam * Blood and urine tests * Participants will have up to 6 visits in 1-3 months. Those with epilepsy will have an inpatient stay lasting 2-10 days. Visits may include: * Video-EEG monitoring for participants with epilepsy * An IV catheter put in place: a needle guides a thin plastic tube into an arm vein. * Getting mangafodipir through the IV. * 5 MRI scans over a 10-day period: a magnetic field and radio waves take pictures of the brain. Participants lie on a table that slides into a metal cylinder. They are in the cylinder for 45-90 minutes, lying still for up to 10 minutes at a time. The scanner makes loud knocking sounds. Participants will get earplugs. * A final MRI at least 2 weeks after receiving mangafodipir. Gadolinium is given through an IV catheter....
NCT06352372
For this study, the proposed intervention will be noninvasively delivered near infra-red (NIR) light - transcranial Photobiomodulation (tPBM) - to the brains of autistic children with abnormal EEGs with epileptiform discharges or with epilepsy. This will occur, twice a week, for 10 weeks. The NIR light is delivered to specific brain areas by Cognilum, a wearable device developed by Jelikalite. The expected outcome is improved focus, improved eye contact, improved speech, improved behavior, and gains in functional skills. Cognilum may impact the clinical practice of treating autism. At the beginning, at five weeks, and at the end of study, the clinician will complete the CARS-2, SRS, CGI, and a caregiver interview; additionally, questionnaires will be administered to caregivers during one of the 1-hour weekly treatment sessions.
NCT07547501
The objective of this study is to develop and validate deep learning algorithms for automated sleep stage and sub-stage classification using overnight polysomnography data. The models will be trained and evaluated on at least three independent datasets to ensure generalizability. \- Primary Outcome Measure : Accuracy of deep learning-based sleep stage classification compared to expert manual scoring (\>80% target agreement), evaluated across multiple polysomnography datasets including AP-HP (Assistance Publique - Hôpitaux de Paris) data. This is a retrospective, observational study.
NCT06252532
Purpose: The purpose of this pilot study is to investigate the dynamics between theta and alpha oscillations in the control of working memory. These findings will be informative of what types of brain stimulation are most effective at modulating brain activity. Deep brain stimulation and transcranial magnetic stimulation are used for an increasing number of neurological and psychiatric disorders. Participants: Eligible participants are patients who have previously had electrodes implanted to monitor epilepsy (outside of research activity). 50 participants will be recruited, 25 participants for each phase of the study. Procedures (methods): The participants will perform a cognitive control task. During the task, rhythmic trains of direct cortical stimulation will be delivered to the frontal cortex alone or to the frontal and parietal cortex. Electrocorticography will be collected concurrent with stimulation.
NCT06097195
Neuronostics plan a prospective multisite trial to determine the clinical utility of BioEP in the context of diagnostic decision making. Neuronostics will use findings from the trial to improve user experience of the Neuronostics platform (the tool which clinicians use to obtain a BioEP score from EEG and the aligned report). The data coming from the trial will also enable Neuronostics to iterate the BioEP algorithms and so improve future performance.
NCT07537283
This study evaluates the efficacy and safety of coenzyme Q10 supplementation as adjunctive therapy in patients with drug-resistant epilepsy.
NCT01345058
This is a study to determine whether a combination of low dose lacosamide and levetiracetam is more effective than high dose levetiracetam in patients who have failed low dose levetiracetam.
NCT06315322
The purpose of the study is to investigate the long-term safety and tolerability of brivaracetam in study participants with childhood absence epilepsy or juvenile absence epilepsy.
NCT06388707
This will be a prospective, open-label, single-arm, multi-center, pilot study to evaluate the safety, tolerability, and preliminary efficacy of low-intensity focused ultrasound (LIFU) neuromodulation using NaviFUS System in patients with drug-resistant unilateral or bilateral temporal lobe epilepsy (DR-TLE).
NCT05067634
Primary objective: To evaluate the safety and tolerability of cenobamate in pediatric subjects 2-17 years of age with partial-onset (focal) seizures
NCT07505004
A multicenter, double-blind, randomized, placebo-controlled clinical trial to evaluate the efficacy and safety of vormatrigine in adults with focal seizures (POWER2)
NCT06794606
Epilepsy is a clinical condition that affects about fifty million people worldwide, with an estimated occurrence of 16-51 new cases per 100,000 people each year. In 60% of these patients, the origin of seizures is due to a localized (focal) alteration of the brain. In about 25 percent of patients with focal epilepsy, drug treatment is ineffective, a condition defined by the International League Against Epilepsy (ILAE) as drug-resistant epilepsy ; this condition results in a drastic reduction in quality of life associated with psychosocial dysfunction and an increased risk of sudden death. A possible treatment alternative for drug-resistant patients is ablation of the epileptogenic zone through surgical methods that are effective and safe when patients are carefully selected. The percentage of patients with epilepsy who are completely cured after surgery is about 70% for temporal lobe epilepsies, and can be as high as 90% in the case of some brain malformations. Pre-surgical screening and therapeutic intervention (particularly surgery) have health care costs that are amortized over 2-6 years depending on the procedures required before surgery. In the last decade, moreover, the refinement of noninvasive/mini-invasive methods such as radiosurgery, Magnetic Resonance-guided Focused Ultrasound (MRgFUS) and laser interstitial thermal therapy (LiTT) have allowed us to hypothesize a possible specific treatment of drug-resistant patients with epileptogenic areas that are difficult to reach with traditional surgery and patients with complex comorbidities for whom the risks of standard resective surgery would outweigh the possible benefits. Finally, there is a subgroup of patients with drug-resistant epilepsy who cannot undergo ablative surgery. In these patients, seizures originate from multiple areas of the brain (multifocal epilepsy) or the epileptogenic area affects functionally eloquent areas. In these cases, alternative functional treatments are proposed, which aim to decrease the frequency and intensity of seizures and the need for medication, such as: i) application of a vagal stimulator, a pulse generator that is implanted in the chest and connected to the vagus nerve, ii) implantation of deep brain stimulation devices, iii) neuromodulation. Therefore, careful selection of patients during the diagnostic/pre-surgical process is crucial. The multimodal assessments under study, proposed in support of clinical practice, aim to improve such selection by analyzing the causative factors of seizures, the location of the epileptogenic zone, and the clinical-epileptological course of patients who are candidates for surgical or functional treatment of epilepsies.
NCT04779814
This is a UK, multi-center, non-interventional study based on the use of health service administrative and medical records (paper-based and/or electronic, as applicable) along with the use of prospectively collected subject-reported outcomes on experience with use of VNS therapy using validated and bespoke self-completion questionnaires. Data for hospital resource utilisation will be extracted from the Hospital Episode Statistics (HES) database.
NCT06700356
The purpose of this study is to determine the feasibility of chronic ambulatory thalamus seizure detection. The sensitivity, specificity, and false alarm rate of thalamus seizure detection will be calculated using recordings from a deep brain stimulation system, assessed relative to concurrent gold-standard video-EEG monitoring collected in the in-patient setting (epilepsy monitoring unit), in 5 patients with drug resistant epilepsy.
NCT07434986
The goal of this clinical trial is to gauge whether overnight, non-invasive temporal interference (TI) stimulation aimed at the hippocampus can reduce abnormal brain activity linked to seizures and improve sleep in adults with drug-resistant temporal lobe epilepsy. The main questions are: Does overnight TI stimulation lower seizure-related EEG activity during sleep? Does overnight TI stimulation improve sleep quality and sleep patterns measured overnight in the lab? Researchers will compare each participant's nights without stimulation to nights with active stimulation, and will also look at a night after stimulation ends to see whether any changes last. Participants will: Stay in-lab for six days for overnight sleep and EEG monitoring Have one night of monitoring without stimulation Receive TI stimulation during sleep for several nights Have another night of monitoring without stimulation after the stimulation nights Complete brief questionnaires and thinking/memory tasks before and after the stimulation nights Be checked for side effects and comfort during the study and at follow-up
NCT05132543
The overall purpose of this study is to better understand human cognition and human epilepsy by working with patients undergoing clinical treatment for pharmacologically resistant epilepsy. The investigators will investigate human cognition by conducting controlled experiments that focus on sensory, motor, and cognitive phenomena such as sensory processing, memory, and language. The investigators will also examine the neural underpinnings of epilepsy during both sleep and wakefulness to better understand both the foundations of epilepsy and how epilepsy affects cognition. The investigators hope to use these data to have a better understanding of cognition, epilepsy, and how the two interact. This will potentially lead to better markers for seizure onsets as well as epilepsy more generally. For this research, the investigators will use μECoG arrays manufactured by commercial partners. These arrays have passed all major ISO 10993 bio-compatibility tests. Based on this characterization and use in the intraoperative setting (limited duration and supervised usage), these devices pose a minimal risk to participants. Data will be analyzed and protected using the Duke SSRI protected research data network.
NCT04959019
The purpose of this study is to determine how effective a 6-week exercise program is for improving memory compared to a no-intervention control group, investigate the brain changes that may be responsible for memory improvements, and determine if the memory benefits and brain changes are retained 6 weeks after completing the exercise intervention in people with Idiopathic generalized epilepsy (IGE).
NCT05289934
This research is being done to determine if Mozart music and/or age-appropriate music can reduce the frequency of seizures and epileptiform discharges.
NCT05871372
Depression is one of the most common disorders of mental health, affecting 7-8% of the population and causing tremendous disability to afflicted individuals and economic burden to society. In order to optimize existing treatments and develop improved ones, the investigators need a deeper understanding of the mechanistic basis of this complex disorder. Previous work in this area has made important progress but has two main limitations. (1) Most studies have used non-invasive and therefore imprecise measures of brain activity. (2) Black box modeling used to link neural activity to behavior remain difficult to interpret, and although sometimes successful in describing activity within certain contexts, may not generalize to new situations, provide mechanistic insight, or efficiently guide therapeutic interventions. To overcome these challenges, the investigators combine precise intracranial neural recordings in humans with a suite of new eXplainable Artificial Intelligence (XAI) approaches. The investigators have assembled a team of experimentalists and computational experts with combined experience sufficient for this task. Our unique dataset comprises two groups of subjects: the Epilepsy Cohort consists of patients with refractory epilepsy undergoing intracranial seizure monitoring, and the Depression Cohort consists of subjects in an NIH/BRAIN-funded research trial of deep brain stimulation for treatment-resistant depression (TRD). As a whole, this dataset provides precise, spatiotemporally resolved human intracranial recording and stimulation data across a wide dynamic range of depression severity. Our Aims apply a progressive approach to modeling and manipulating brain-behavior relationships. Aim 1 seeks to identify features of neural activity associated with mood states. Beginning with current state-of-the-art AI models and then uses a "ladder" approach to bridge to models of increasing expressiveness while imposing mechanistically explainable structure. Whereas Aim 1 focuses on self-reported mood level as the behavioral index of interest, Aim 2 uses an alternative approach of focusing on measurable neurobiological features inspired by the Research Domain Criteria (RDoC). These features, such as reward sensitivity, loss aversion, executive attention, etc. are extracted from behavioral task performance using a novel "inverse rational control" XAI approach. Relating these measures to neural activity patterns provides additional mechanistic and normative understanding of the neurobiology of depression. Aim 3 uses recurrent neural networks to model the consequences of richly varied patterns of multi-site intracranial stimulation on neural activity. Then employing an innovative "inception loop" XAI approach to derive stimulation strategies for open- and closed-loop control that can drive the neural system towards a desired, healthier state. If successful, this project would enhance our understanding of the pathophysiology of depression and improve neuromodulatory treatment strategies. This can also be applied to a host of other neurological and psychiatric disorders, taking an important step towards XAI-guided precision neuroscience.
NCT07116330
A growing body of evidence suggests patients with late-onset seizures are at an increased risk of stroke, but the potential for reducing cardiovascular morbidity through risk factor screening and management is unknown. The investigators aim to determine whether individuals with new-onset unprovoked seizures after middle age should undergo vascular risk assessment. In a cluster project the investigators assess the effect of vascular risk factor screening in an observational study as well as a cohort study. The project has two interlinked components: a prospective single group study, in which risk factor assessment is performed and subsequent management is followed for one year; and a register-based cohort study examining the long-term effects of the intervention on a system level.