Depression Paid Clinical Trials in Texas

This project aims to adapt, implement, and evaluate a Dialectical Behavior Therapy skills training group intervention for aging adult family caregivers of person with Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/ADRD) to reduce suicidality. By adapting this modality, the investigators will provide a scalable intervention tailored for this high-risk population, maximizing the public health impact and improving suicide prevention. Read Less

RAD is a 10-year natural history, longitudinal, prospective assessment study of a cohort of 2,500 participants (ages 10-24 years) that will help uncover the socio-demographic, lifestyle, clinical, psychological, and neurobiological factors that contribute to resilience among children, adolescents, and young adults at-risk for mood and anxiety disorders. As this is an exploratory study, we will assess a comprehensive panel of carefully selected participant specific parameters, including socio-demographic, life habits, clinical, biological, behavioral, neurophysiological, and neuroimaging. The study is designed to observe and collect factors associated with resilience in a non-invasive fashion; no interventions or treatments will be conducted during the project. Assessments will be conducted up to 4 times per year for up to 10 years, as well as a baseline visit. Study visits will be conducted in person whenever feasible but may be completed by phone/mail/computer, if an in-person visit is not possible. Read Less

The primary objective of this initiative is to implement a prospective study that will allow us to identify and validate biosignatures of response to treatments for depression and depression outcome (using an integrated array of participant specific data: socio-demographic, lifestyle, clinical and behavioral assessments, fluid-based biomarkers, genomics, neuroimaging, EEG, and cell-based assays) in a longitudinal cohort of subjects with elevated symptoms of a depressive disorder. Symptom remission across various treatment options will be assessed using questionnaires for symptom changes, antidepressant treatment tolerability and overall quality of life. Other outcomes generated from this study will include rate of change in quantitative measures of brain function, of depression relevant brain regions correlated with systems-levels behavior and other functional neuro-circuitry MRI measures. Rate of change of specified biochemical biomarkers will also be assessed. Integration of these measures will provide an unmatched understanding into the mechanisms of depression and hold tremendous promise for better disease treatment and associated outcomes. Read Less

This observational protocol is intended to provide long-term follow-up data on patients initiating or continuing treatment with either Spravato® or IV ketamine. This can provide us information on the patient acceptability and satisfaction, patterns of use, long-term effectiveness, and safety of the two approaches. This 5-year, 6-site study will enroll 450 total patients. The sites will comprise 3 academic medical centers and 3 community psychiatric practices. Read Less

The purpose of this research study is to test the study drug, NORA520, as a possible treatment for severe postpartum depression (PPD). The trial aims to determine: * How well NORA520 is tolerated and what side effects it may cause * If NORA520 reduces depressive symptoms in subjects with severe PPD * The amount of NORA520 in the blood at various times after taking the study drug; this provides information that helps determine how often NORA520 should be taken * In a subset of subjects, the amount of NORA520 in breastmilk at various times after taking it to determine if and how much NORA520 can pass into breastmilk Participate in this study will be randomly assigned to one of 3 different groups. All subjects will take the study drug for 3 days. 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

In a randomized controlled trial (RCT), the investigators will recruit participants to an 8-week "app-based wellness" intervention, followed by a 12-week follow-up period. The investigators will recruit a total of 276 self-declared Chronic Hematological Cancer (CHC) patients who (representative of age, race/ethnicity, and gender) will be on stable CHC pharmacologic therapy (if any), self-identify as sleep disturbed (\>5 on Pittsburgh Sleep Quality Index), do not have a sleep disorder diagnosis, do not take sleep medication/supplements \>3 times per week, and are not currently practicing regular meditation. Aim 1: Test the efficacy of two app-based wellness programs (10 minutes per day) on the primary outcome of self reported sleep disturbance (Insomnia Severity Index (primary) and PROMIS Sleep Disturbance (secondary)) and secondary sleep outcomes including sleep impairment (PROMIS Sleep Impairment Scale) and sleep efficiency measured via sleep diaries and actigraphy. Aim 2: Test the efficacy of two app-based wellness programs (10 minutes per day) on inflammatory markers (i.e., TNF-a, IL-6, IL-8, CRP), fatigue, and emotional distress (i.e., anxiety, depressive symptoms measured with PROMIS®). Aim 3: Explore the sustained effects (i.e., 20 weeks from baseline) of two app-based wellness programs (10 minutes per day) in CHC 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 purpose of the study is to identify brain biomarkers and characteristics that predict individual responses to treatment of major depression with the antidepressant drug sertraline (tradename Zoloft), a common selective serotonin reuptake inhibitor (SSRI) antidepressant. Our central hypothesis is that brain activity and connections jointly measured with functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) will be able to predict an individual's response to sertraline treatment. Read Less

This is a single-site open-label clinical trial of the Stanford Accelerated Intermittent Neuromodulation Therapy (SAINT®) protocol. The goal of this clinical trial is to learn if a new form of transcranial magnetic stimulation (TMS)-known generally as accelerated intermittent theta burst stimulation (aiTBS) and specifically as SAINT®-is effective as a first-line therapy in treating adolescents aged 14-19 years-old in their first episode of depression who have not undergone a full course of depression treatment prior to starting the trial and who remain antidepressant-free throughout the trial. The main questions this trial aims to answer are: * Does SAINT® relieve symptoms of depression as a first-line therapy in adolescents? * Is SAINT® a feasible option as a first-line treatment for adolescent depression? Researchers will measure the depression symptoms in adolescent participants before and after SAINT®. Parents of the adolescent participant will also participate in the study providing information about their experience and preference for TMS as a first-line treatment. Adolescent participants will: * Remain antidepressant-free throughout the study period of 6-7 weeks. * Receive an MRI of their head for precision targeting * Receive 5 days of aiTBS (SAINT®) Read Less