Epilepsy Paid Clinical Trials in Texas

The goal of this interventional study is to compare if the use of a brain-machine interface (BCI) therapy can improve the symptoms of attentional deficit by producing brain changes in the networks that modulate attention. The investigators intend to work with epileptic participants who do not respond to pharmacological treatment, who will undergo neurosurgery. The questions the study sets out to answer are: 1. is there an improvement of symptoms in an experimental group receiving the treatment versus a sham group receiving a simulation of the treatment? 2. does the application of the therapy before surgery reduce the recovery times of post-surgery cognitive deficits described in the literature? Making use of the information recorded from brain electrodes implanted before a participant's epilepsy surgery, the investigators will create a BCI decoder that works with the available activity sources to establish the level of attention of each participant when performing tasks. Participants: * will perform an offline phase first, which will consist of one day of evaluation, in which they will be familiarized with an attentional task. * will perform a training phase later, which will consist of several days of evaluation, where they will learn to modulate their level of attention. This modulation will be facilitated by the BCI decoder, which will classify the level of attention directly from the brain and provide visual feedback that the participant will use as a guide. If the participant is part of the experimental group (or BCI group), the feedback will work as described and should be easy to follow, but if the participant is part of the Sham group, the feedback will not work according to the brain activity of the actual participant, but according to that of another person. Because of this, a mismatch will be created between the moments a brain experiences inattention, and participants believe they are experiencing inattention. This is a randomized, double-blind study, in which the experimenters will evaluate how the effect of the attentional therapy with BCI affects an BCI group and a Sham group. Read Less

The purpose of this study is to determine whether BHV-7000 is effective in the treatment of idiopathic generalized epilepsy with generalized tonic-clonic seizures and includes an additional open-label extension (OLE) phase. Read Less

The purpose of this study is to determine whether BHV-7000 is effective in the treatment of refractory focal epilepsy. Read Less

The purpose of this study is to determine whether BHV-7000 is effective in the treatment of refractory focal epilepsy. Read Less

This clinical trial is designed to test whether a single image-guided intracerebral administration of inhibitory nerve cells, called interneurons (NRTX-1001), into subjects with drug-resistant unilateral mesial temporal lobe epilepsy (MTLE), with or without mesial temporal sclerosis (MTS), is safe (frequency of adverse events) and effective (seizure frequency). NRTX-1001 comprises human interneurons that secrete a neurotransmitter, gamma-aminobutyric acid (GABA). Read Less

An Open Label Clinical Trial to Evaluate the Efficacy and Safety of PRAX-628 in Adult Patients With Focal Onset or Primary Generalized Tonic-Clonic Seizures Read Less

Primary objective: To evaluate the safety and tolerability of cenobamate in pediatric subjects 2-17 years of age with partial-onset (focal) seizures Read Less

Overall, this study will investigate the functional utility of stereotyped HFOs by capturing them with a new implantable system (Brain Interchange - BIC of CorTec), which can sample neural data at higher rates \>=1kHz and deliver targeted electrical stimulation to achieve seizure control. In contrast to current closed-loop systems (RNS), which wait for the seizure to start before delivering stimulation, the BIC system will monitor the spatial topography and rate of stereotyped HFOs and deliver targeted stimulation to these HFO generating areas to prevent seizures from occurring. If the outcomes of our research in an acute setting become successful, the investigators will execute a clinical trial and run the developed methods with the implantable BIC system in a chronic ambulatory setting. 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

This trial is a Phase II randomized, double-blind, placebo controlled multi-site study to evaluate the safety and efficacy of early sirolimus to prevent or delay seizure onset in TSC infants. This study is supported by research funding from the Office of Orphan Products Division (OOPD) of the US Food and Drug Administration (FDA). Read Less

The purpose of this study is to examine the feasibility and acceptability of an online group Neuro-behavioral Therapy (NBT) with text messaging intervention for Veterans with epilepsy and major depressive disorder (MDD). Read Less

To determine the utility of diffusion tensor magnetic resonance imaging in the preoperative workup of children with intractable epilepsy referred for surgery. Read Less