Epilepsy Clinical Trials

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.... Read Less

The specific aim of this study is to compare simultaneous assessment of gastric emptying and gastric accommodation in response to the same caloric meal before and three months after activation of left cervical VNS. Our hypothesis is that cervical VNS increases gastric accommodation and accelerates gastric emptying. Read Less

The goal of this observational study is to develop novel methods for integrating multimodal data streams with invasive neural recordings to study autobiographical memory (AM) formation in individuals with implanted neurostimulation devices (e.g., NeuroPace RNS) for epilepsy treatment. The main questions it aims to answer are: How does the brain encode and retrieve real-world autobiographical memories? Can multimodal data integration enhance our understanding of memory-related cognitive and neural mechanisms? Participants will: * Use a smartphone-based recording application (CAPTURE app) to collect real-world data. * Have their wearable sensor data (e.g., audio-visual, accelerometry, GPS, autonomic physiology, eye tracking) synchronized with invasive neural recordings. Researchers will analyze these multimodal data streams to develop new analytic approaches for studying memory formation in naturalistic settings, with the long-term goal of informing neuromodulation-based memory enhancement treatments for individuals with memory disorders. Read Less

The 24/7 EEG™ SubQ system will be compared to simultaneously recorded video-EEG in the Epilepsy Monitoring Unit (gold standard) and to self-reported seizure log books throughout 12 weeks of outpatient EEG recording. The present study is a 12-week open-label, prospective study with a paired, comparative design for pivotal evaluation of the safety and effectiveness of the 24/7 EEGTM SubQ system in subjects with epilepsy involving the temporal lobe region . 2-5 sites in Europe Up to 10 sites in US Read Less

The purpose of this research study is to better understand what causes Sudden Unexpected Death in Epilepsy (SUDEP). This study will enroll subjects from the University of Iowa Hospitals and Clinics (UIHC) Epilepsy Monitoring Unit (EMU) and Epilepsy Clinics. The investigators will analyze the effects of seizures on breathing, on the cardiovascular system, and on arousal. The investigators are studying these effects because some cases of SUDEP might be due, in part, to an inability to wake up or sense elevated carbon dioxide (CO2) levels when breathing is impaired. Subjects will be followed for ten years after enrollment to monitor their health. Read Less

This research is being done to determine if Mozart music and/or age-appropriate music can reduce the frequency of seizures and epileptiform discharges. Read Less

Objectives: The overall study objective is to compare the sensitivities and specificities of morphometric analysis techniques using structural MRI images based on pre- and postsurgical localization of epileptic foci in patients undergoing presurgical evaluation for medically refractory epilepsy. To carry out these analyses, we aim to establish an age-stratified normative imaging database using healthy volunteers. Additional objectives are to identify abnormal networks in these patients using resting state fMRI/EEG and MEG/EEG, and to use language and memory fMRI tasks to examine the effects of epileptogenic zones and surgery on cognitive function and the networks associated with these functions. Study population: 300 adults and children (age 8 and older) with uncontrolled focal epilepsy, and 200 age-stratified healthy volunteers. Design: A retrospective and prospective natural history study. Research procedures for patients in this study include neuropsychological testing and 1-4 MRI sessions during presurgical evaluation and an additional 1-3 MRI sessions and neuropsychological testing approximately 12 months post-operatively. Research testing (such as research neuropsychological tests or MRI scanning sequences) will be done during a visit for clinical testing whenever possible, likely reducing the number of required visits. Patients will also have optional MEG and 7T structural imaging. Data will also be obtained from patients who have already undergone epilepsy surgery if they had procedures as outlined in the protocol and are willing to share the data. Healthy volunteers will receive a subset of the pre-operative procedures for patients, requiring at least 3 visits. In order to ensure adequate data acquisition, subjects may be re-scanned up to three times for the portions of the study in which they participated, possibly requiring additional visits. Outcome measures: The main outcomes will be establishment of normative values for morphometric analysis methods in age-stratified normal controls, and comparison of the sensitivity and specificity of these measures to pre- and postsurgical localization of the epileptogenic zone. Secondary outcome measures will include determination of the sensitivity and specificity of source localization using MEG/EEG and resting state fMRI/EEG, and to evaluate changes in activation during rest, as well as language and memory fMRI tasks in patients pre- and postsurgically, to examine the effects of epileptogenic zones and surgery on cognitive function and the networks underlying these functions. Read Less

The overarching goal of this exploratory research is to understand the dynamic and flexible nature of speech processing in the human supratemporal plane. The temporal lobe has long been established as a region of interest in the speech perception and processing literature because it contains the auditory cortex. More recently, research has localized the supratemporal plane as an area that exhibits response specificity to acoustic properties of complex auditory signals like speech. The supratemporal plane, comprised of Heschl's gyrus, the planum polare, and the planum temporale, is capable of the rapid spectrotemporal analysis required to map acoustic information to linguistic representation. Neural activity in this area, however, is rarely studied directly because it is difficult to access with non-invasive measures like scalp electroencephalography (EEG). Capitalizing on the unique opportunity to access these areas via routine clinical stereoelectroencephalography (sEEG) in a patient population, this study seeks to understand how cortical responses reflect the diagnosticity of two acoustic-phonetic dimensions of interest and how responses rapidly and flexibly adapt to changes in listening demands. Examining how neural response to voice onset time (VOT) and fundamental frequency (F0) modulates as a function of perceptual weight carried in signaling phoneme categories, and identifying how changes in listening context shift perceptual weight, will provide invaluable data that indicates how speech processing flexibly adapts to short-term acoustic patterns. Read Less

We aim to determine the clinical utility of 'dynamic tractography': a novel method for visualizing electrical neural transfers that incorporates the underlying white matter tracts and supporting linguistic processing. We will also determine how well objective electrophysiology biomarkers will improve the prediction of language outcomes following epilepsy surgery. This project will ultimately optimize understanding of how the human brain develops its language network dynamics. Read Less

Background: Epilepsy affects about 1 percent of the U.S. population. Most people with epilepsy respond well to medicine, but some do not. Researchers want people who have diagnosed or suspected epilepsy to participate in ongoing studies. They want to learn more about clinical care for epilepsy. They want fellows and residents to learn more about the care of people with epilepsy. Objectives: To learn more about seizures and find ways to best treat people with drug-resistant epilepsy. Eligibility: Adults and children ages 8 years and older with diagnosed or suspected epilepsy Design: Participants will be screened with: Physical exam Medical history Questionnaires Participants will have many visits. They may be admitted to the hospital for several weeks. Their medication might be stopped or changed. Participants will have many tests: Blood and urine tests EEG: Wires attached to the head with paste record brain waves. This may be videotaped. Thinking and memory tests MRI: Participants lie on a table that slides in and out of a tube. They perform simple tasks in the tube. MEG: Participants lie on a table and place their head in a helmet to record brain waves. PET scan: Participants lie on a table that slides into a machine. A small amount of radioactive dye is injected into their arm with an IV. For the IV, a small tube is inserted into the arm with a needle. Participants will stay enrolled in this study if they join other epilepsy-related studies. They may be contacted at intervals for follow-up. Their participation will end if they have not been seen clinically for their epilepsy for 3 years. Read Less

The goal of this clinical trial is to assess whether Lemborexant can improve sleep in patients with epilepsy. Read Less

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. Read Less