Depression Clinical Trials in Houston, TX

The purpose of this study is to o evaluate the antidepressant efficacy of the PEA in Bipolar Depression and the association between antidepressant response with endogenous cannabinoids and cytokine levels Read Less

The overall objective of the investigators is to assess the therapeutic efficacy and tolerability of Allogeneic Bone Marrow Derived Multipotent Mesenchymal Stromal Cells (MSCs) isolated from hematogenous bone marrow for treatment of treatment-resistant bipolar depression patient (TRBD). Read Less

We propose a clinical study of medial forebrain bundle DBS as a treatment in 20 patients with treatment refractory depression (TRD). Data from the University of Bonn indicates that surgical lesions of the medical forebrain bundle can produce therapeutic benefits in patients with depressive disorders, and suggest that DBS at the same site may also reduce symptomatology in these TRD patients (Schaepfer, 2013). Depression affects up to 10% of the US population and of those at least 10-15% do not benefit from therapies hence why we must explore new treatments. The Percept™ PC system manufactured by Medtronic Neurological will be used in this study. Study subjects will be between the ages of 22 and 70 years of age and suffer from TRD, have failed multiple treatment regimens, including ECT, and remain symptomatic. Those identified as TRD patients will then be enrolled in a clinical pilot study investigating DBS, targeting the MFB. Read Less

This is a sequential multiple assignment randomized trial for adults (ages \> 18) with a bipolar disorder type 1 diagnosis currently experiencing a depressive episode. It is a randomized pragmatic trial that will compare four commonly prescribed treatments for bipolar depression, which includes three FDA-approved medications (Cariprazine, Quetiapine and Lurasidone) and one antipsychotic/antidepressant combination (Aripiprazole/Escitalopram). Read Less

To learn if Cognitive Behavior Therapy (called CBT), combined with either Bright Light Therapy (called BLT), methylphenidate, and/or melatonin, can help improve sleep and other related symptoms such as fatigue, anxiety, and depression in cancer patients. This is an investigational study. In this study, BLT, Methylphenidate and Melatonin will be compared to their placebos. Read Less

Suicide is the 10th leading cause of death for Americans of all ages and more people in the United States now die from suicide than die from car accidents. Although death by firearm remains the most common cause of suicide in the United States, an intentional overdose of substance usage such as prescription opioids accounts for over 5,000 suicides per year. In 2017, more than 70,000 drug overdose deaths occurred, making it the leading cause of injury-related death, and well over half (67.8%) involved opioids. The dramatic increase in opioid overdose raises concerns about their contribution to suicidal outcomes (e.g., suicidal behavior, ideation, and attempts). Abuse of prescription opioids is characterized by the persistence of opioid use despite negative consequences. The neurobiology of opioid abuse involves the mesolimbic dopamine systems as the main neural substrate for opioid reward, and altered dopamine release in this system plays a role in opioid abuse. Moreover, the cortico-striatal system, especially the orbitofrontal cortex (OFC), has been associated with the abuse of many substances, including opioids and alcohol. Structural brain alterations in frontal areas, particularly the OFC, may cause executive control dysfunctions of mood which are highly associated with suicidal ideation. Recent preclinical work has shown that higher input from the OFC to the dorsal striatum (dSTR) is associated with compulsive reward-seeking behavior despite negative effects (e.g., punishment). In this study, the investigators propose that OFC/dSTR connectivity may be one neural differentiator that distinguishes between those who become compulsive users after initial opioid use and those that do not. Moreover, suicidal patients among those who become compulsive users may have higher OFC/dSTR connectivity compared to non-suicidal patients. 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

To learn about the feasibility, safety, and effects of psilocybin-assisted psychotherapy on depression and/or anxiety in participants who are being treated for advanced cancer. Read Less

This study is only enrolling at Baylor College of Medicine. The other research locations listed serve to support data analysis only. This research study is to investigate the use of technology called Deep Brain Stimulation (DBS) to potentially improve Treatment-Resistant Bipolar Depression (TRBD) symptoms in patients with severe cases. DBS involves the surgical implantation of leads and electrodes into specific areas of the brain, which are thought to influence the disease. A pack implanted in the chest, called the neurotransmitter, keeps the electrical current coursing to the brain through a wire that connects the neurotransmitter and electrodes. It is believed DBS may restore balance to dysfunctional brain circuitry implicated in TRBD. The goal of this study is to enhance current approaches to DBS targeting in the brain and to use a novel approach to find a better and more reliable system for TRBD treatment. Its important for participants to understand that this is an investigational study where there could be a lack of effectiveness in improving TRBD symptoms. There may be no directly benefit from taking part in this study. This study is expected to last 20 months and involves 3 main steps. 1. Medical, psychiatric, and cognitive evaluations. 2. Implantation of a brain stimulation system. 3. Follow up after implantation of device, including programming, recording, and psychiatric testing. There are risks and benefits to this study which need to be considered when deciding to participate or not. Some of the risks are from surgery, the DBS device and programming, the tests involved, and potential loss of confidentiality, as well as other unknown risks. Some of the more serious risks involved in this study and the percentage that they occur: 1. Bleeding inside the Brain (1 to 2 percent). 2. Infection from the procedures (3 percent) 3. Seizure caused from the procedures (1.2 percent) However, the benefit of this study is that it may help relieve or decrease TRBD symptoms. This form of treatment has shown to reduce symptom severity in other cases. This could potentially improve quality of life and activities in daily routines. There is also a potential benefit to society in that the data the investigators will obtain from this study may help increase the understanding of the mechanisms underlying TRBD symptoms, as well as enhanced Deep Brain Stimulation techniques. Study participation is expected to last 20 months from the time the DBS device is activated and should include approximately 23 visits. These visits also include 8 separate, 24 hour stays at the Menninger NeuroBehvaioral Monitoring Unit (NBU). These 24-hour sessions will occur at multiple points throughout the study (1 week prior to surgery, the week preceding device activation, the week following activation, then after 2 weeks, 4 weeks, 6 months, 9 months, and 12 months). Participants will need to stay locally for the week of the NBU stay (typically Monday through Friday). Study visits will include clinician administered assessments and questionnaires, subject reported assessments, neuropsychological testing, and mobile behavioral assessments which will occur around 23 visits over the course of 20 months. Read Less

The overall goal of this study is to map the spatiotemporal dynamics of social affective processing and to examine selective modulation of these dynamics in humans undergoing invasive intracranial monitoring for treatment-resistant epilepsy and depression. Pursuing this signal from a novel platform with invasive intracranial recording electrodes provides much-needed spatial and temporal resolution to characterize the neural dynamics of socio-affective processing. The investigators will leverage first-in-human intracranial neural recording opportunities created by a novel therapeutic platform termed "stereotactic electroencephalography-informed deep brain stimulation" (stereo-EEG-informed DBS), as well as the powerful platform of intracranial stereotactic recording and stimulation in patients undergoing epilepsy surgical evaluation at Baylor College of Medicine. The sEEG-informed DBS trial provides unique opportunities for intracranial recording of affect-relevant network regions in patients with treatment-resistant depression (TRD). Recordings in identical regions in epilepsy patients who themselves often demonstrate mild-moderate depressive symptoms will provide a wide dynamic range across the symptom spectrum. To provide critical data on the spatiotemporal dynamics of socio-affective processing the investigators will leverage these two human intracranial recording and stimulation cohorts to study the precise structural, functional, and causal properties of the affective salience network. Greater understanding of the social processing circuitry mediated by the affective salience network may be used to drive therapeutic innovation, pioneering a new paradigm that improves socio-emotional function across a wide variety of neuropsychiatric conditions. The results from this proposal have the potential to improve the lives of patients with dysfunction in social affective processing, with implications for a wide range of neuropsychiatric diseases. Read Less

The purpose of this study is to ascertain the feasibility and effectiveness of an 8-week social engagement program aimed at reducing depression and increasing social engagement among seniors who are transitioning out of Adult Protective Services (APS) for either elder abuse or self-neglect. Read Less