Epilepsy Paid Clinical Trials in Utah

This trial is intended to study the safety and effectiveness of an new anti-epileptic drug (AED) on Primary Generalized Tonic-Clonic (PGTC) Seizures. Eligible Subjects, adults and adolescents, will continue to take their usual AEDs and receive either cenobamate or placebo. Subjects will have a 50% chance or receiving cenobamate or placebo (sugar pill). Subjects will initially receive 12.5 mg of cenobamate or placebo (study drug) and increase the dose every two weeks until they reach a target dose of 200 mg. Subjects will take study drug at approximately the same time in the morning (once a day) with or without food. If tolerability issues arise, dosing can be changed to evening. Also, once a subject reaches 200 mg, the dose can be decreased one time to 150 mg, if necessary. The treatment period is 22 weeks and there is a 3 week follow up period, which includes a one week decrease in study drug to 100 mg prior to stopping. Adolescents will follow the same every two week regimen and receive cenobamate as an oral suspension based on weight. Subjects who complete may be eligible for an extension study and will not have to complete the follow up period. Subjects will track their seizure types and frequency in a diary throughout the study. Read Less

By carrying a careful, large-scale and ambitious prospective study of a cohort of participants with generalized epilepsy, the study team hopes to clarify the likelihood of response and remission in this type of epilepsy, and try to explore the underlying biological drivers of treatment response, including novel realms of exploration such as impact of the microbiome, and genetics. The identification of biomarkers that predict the likelihood of disease response would allow epilepsy patients to make more informed decisions about the factors affecting their quality of life, including plans for driving, relationships, pregnancy, schooling, work, and play. In addition to its impact on clinical care, the data and specimens collected in HEP3, including sequential electrophysiology, biochemical profiles and neuroimaging and banked DNA for future genomics studies, have the potential to provide new insights into the biological basis of IGE, thereby advancing the discovery of effective treatments and cures. By enrolling both newly diagnosed subjects (prognosis unknown) as well as subjects with established IGE who are already determined to be treatment resistant or treatment responsive, the study team can immediately test potential biomarkers in a confirmation cohort, which will accelerate identification of predictive biomarkers. Read Less

This clinical trial is designed to test whether a single stereotactic intracerebral administration of inhibitory nerve cells into subjects with drug-resistant mesial temporal lobe epilepsy is safe (frequency of adverse events) and effective (seizure frequency). Read Less

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. Read Less

This is a multiple site, randomized, double blinded parallel-group controlled study. The purpose of this study is to evaluate efficacy, safety, and tolerability of repeated, daily sessions with the STARSTIM device, which delivers transcranial cathodal direct current stimulation (tDCS). Subjects will be treated with STARTSTIM or sham device for 10 sessions over a 2-week period. The subjects will be followed for an additional 10 weeks post treatment. Quality of Life questionnaires and adverse events will be collected and evaluated. Read Less

Humans have a remarkable ability to flexibly interact with the environment. A compelling demonstration of this cognitive flexibility is human's ability to respond correctly to novel contextual situations on the first attempt, without prior rehearsal. The investigators refer to this ability as 'ad hoc self-programming': 'ad hoc' because these new behavioral repertoires are cobbled together on the fly, based on immediate demand, and then discarded when no longer necessary; 'self-programming' because the brain has to configure itself appropriately based on task demands and some combination of prior experience and/or instruction. The overall goal of our research effort is to understand the neurophysiological and computational basis for ad hoc self-programmed behavior. The previous U01 project (NS 108923) focused on how these programs of action are initially created. The results thus far have revealed tantalizing notions of how the brain represents these programs and navigates through the programs. In this proposal, therefore, the investigators focus on the question of how these mental programs are executed. Based on the preliminary findings and critical conceptual work, the investigators propose that the medial temporal lobe (MTL) and ventral prefrontal cortex (vPFC) creates representations of the critical elements of these mental programs, including concepts such as 'rules' and 'locations', to allow for effective navigation through the algorithm. These data suggest the existence of an 'algorithmic state space' represented in medial temporal and prefrontal regions. This proposal aims to understand the neurophysiological underpinnings of this algorithmic state space in humans. By studying humans, the investigators will profit from our species' powerful capacity for generalization to understand how such state spaces are constructed. The investigators therefore leverage the unique opportunities available in human neuroscience research to record from single cells and population-level signals, as well as to use intracranial stimulation for causal testing, to address this challenging problem. In Aim 1 the investigators study the basic representations of algorithmic state space using a novel behavioral task that requires the immediate formation of unique plans of action. Aim 2 directly compares representations of algorithmic state space to that of physical space by juxtaposing balanced versions of spatial and algorithmic tasks in a virtual reality (VR) environment. Finally, in Aim 3, the investigators test hypotheses regarding interactions between vPFC and MTL using intracranial stimulation. Read Less