Epilepsy Clinical Trials in Houston, TX

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

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

This is a multicenter, single arm, open label clinical trial that is designed to test the safety and preliminary efficacy of single administration inhibitory nerve cells called interneurons (NRTX-1001), into both temporal lobes of subjects with drug-resistant bilateral mesial temporal lobe epilepsy. Read Less

The purpose of this study is to precisely delineate human brain networks that modulate respiration and identify specific brain areas and stimulation techniques that can be used to prevent seizure-induced breathing failure. 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 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

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