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.
Substance Abuse· Baylor College of Medicine· Houston, Texas· Ages 18–64
This study is a large-scale pivotal clinical validation of the AI-COA® software device. The purpose is to confirm the tool's accuracy and performance across a demographically diverse population of adults with Major Depressive Disorder (MDD), ensuring it functions fairly and reliably across different subgroups.
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.
Bipolar Depression· Wayne Goodman MD· Houston, Texas· Ages 22–64
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.
Treatment Resistant Depression· Baylor College of Medicine· Houston, Texas· Ages 22–70
Symptoms of depression are highly prevalent among Veterans. However, fewer than 30% of individuals with these symptoms receive any psychotherapy in the Veterans Health Administration (VHA). This is due to many factors, which may include provider availability and patient preferences. Guided self-help (GSH), which involves coaching sessions with patients who are following a fully developed self-help program, has the potential to increase access to care for these Veterans, particularly if implemented within a stepped care model of mental health treatment delivery and if delivered by a diverse set of providers. The VHA's primary care-mental health integration (PCMHI) service, which focuses on short courses of care for mild to moderate symptoms, may be an ideal place in which to deploy GSH. The current project seeks conduct a pilot randomized trial of a GSH program for depression adapted for PCMHI based on behavioral activation.
Depression· VA Office of Research and Development· Houston, Texas
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).
Treatment-resistant Bipolar Depression· The University of Texas Health Science Center, Houston· Houston, Texas· Ages 18–65
The purpose of this study is to test the feasibility and acceptability of an evidence-based treatment for depression delivered over an ipad, computer, or smartphone can help Adult Protective Services (APS) clients with their activities of daily living to evaluate whether reductions on measures of depression and apathy (a) mediate reduced Elder Neglect/Self Neglect (EN/SN) behaviors; and (b) whether secondary posited mediating mechanisms are also active in impacting depression and apathy
Depression in Old Age· The University of Texas Health Science Center, Houston· Houston, Texas
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.
Depression· Baylor College of Medicine· Houston, Texas· Ages 21–70
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.
Depression in Old Age· The University of Texas Health Science Center, Houston· Houston, Texas
The SEQUOIA-1 study evaluates the effectiveness of Artificial Intelligence (AI) in measuring depression and anxiety severity in adults. Investigators from Deliberate Solutions, Inc. and Baylor College of Medicine are conducting this study to determine whether AI can provide reliable clinical assessments of mood and anxiety disorders.
In clinical trials for new depression and anxiety treatments, human clinicians typically conduct interviews to evaluate participants' symptoms. These assessments are critical but may vary based on the clinician's experience or interview style, potentially affecting the reliability of research findings.
To address this challenge, the study team developed an AI-based Clinical Outcome Assessment tool, called AICOA®, which analyzes video interviews to measure symptoms of depression and anxiety consistently and objectively. AI-COA® has been accepted by the U.S. Food and Drug Administration (FDA) into the Innovative Science and Technology Approaches for New Drugs (ISTAND) pilot program.
The primary objectives of the SEQUOIA-1 study are to collect additional data to improve model accuracy and to evaluate model performance across diverse demographic groups. The study also pilots the use of an AI interviewer-an interactive digital agent-to conduct remote assessments.
During the study, participants will complete questionnaires about their symptoms and perform brief tasks. Participants will also provide feedback regarding their experience interacting with the AI interviewer.
All assessments will be securely video-recorded. Recorded videos will be analyzed by AICOA® to determine depression and anxiety symptom severity. These results will be compared to assessments conducted by human clinicians.
The development and validation of reliable, AI-driven assessment tools through this study aim to enhance the accuracy of mental health evaluations, potentially improving the testing and approval processes for new treatments targeting depression and anxiety.
This clinical research study is to learn about the feasibility, safety, and effects of psilocybin-assisted psychotherapy for cancer survivors with depression and/or anxiety.
Depression· M.D. Anderson Cancer Center· Houston, Texas
The overall objective of the project is to determine the effectiveness of tele-delivered behavioral activation (BA) by trained lay counselors (Tele-BA-S) to prevent Post-stroke depression (PSD) in low-income, older stroke survivors with subthreshold depression (SD).
Post-stroke Depression· The University of Texas Health Science Center, Houston· Houston, Texas
This study evaluates the reliability and responsiveness of the AI-COA®, a digital tool designed to assess the severity of depression and anxiety. The study compares the tool's performance against standard clinician ratings over 12 weeks to determine its consistency and sensitivity to symptom changes.
The main goal of this research is to help families who are experiencing food insecurity (FI) and help mothers with depression.
The next goal is to provide other resources to help with household needs like rent or utility assistance, health insurance, anxiety, and depression. Our theory is that helping with food insecurity, household needs, and emotional health will help children and families.
Food Insecurity· Baylor College of Medicine· Houston, Texas
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.
Sleep· M.D. Anderson Cancer Center· Houston, Texas
Behavioral activation is one such empirically supported intervention. Derived from cognitive-behavioral therapy, a well-established treatment for depression, behavioral activation uses psychoeducation and skill-building to increase an individual's engagement in valued and enjoyable activities (e.g., socializing with family and friends, exercising, participating in a hobby) in order to improve depressive symptoms. Research has shown that behavioral activation is an effective intervention for depressed youth. Additionally, it has been shown as a promising intervention that can be conducted in a brief, virtual format and can be effectively implemented by both trained clinicians and trained, non-licensed interventionists. This project will provide Behavioral Activation for youth (12-17) experiencing depression or suicidal ideation who are currently enrolled in the Youth Depression Suicide Network study in Texas.
Depression· Baylor College of Medicine· Houston, Texas· Ages 12–18
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.
Depression, Anxiety· M.D. Anderson Cancer Center· Houston, Texas
The goal of this clinical trial is to adapt a sleep intervention for individuals representative of all demographic groups, including those who are at the highest risk for suicidal behavior. Sleep difficulties are a promising target for youth with suicidal thoughts and behavior to focus on as a prevention measure. We aim to increase intervention acceptability and impact by adapting it for the adolescent populations at highest risk for suicidal thoughts and behavior. The research project will compare Transdiagnostic Sleep and Circadian Intervention (TranS-C), an evidence based, modularized intervention that targets a range of sleep difficulties to a treatment as usual or control condition including providing weekly sleep feedback reports from data entered into a daily sleep diary and from wearing a sleep sensing, actigraphy watch. Participants in both conditions (TranS-C vs. Sleep Feedback) will wear an actigraphy sleep watch that monitors sleep, and complete daily sleep diaries via smartphone or email. Participants in the TranS-C condition will also wear bright light (BL) and blue blocking glasses each day as well as attend weekly or biweekly sessions with a Sleep Therapist. The sleep therapist will review sleep feedback during sessions.
Sleep Disturbance· University of Pittsburgh· Philadelphia, Pennsylvania · Pittsburgh, Pennsylvania· Ages 12–18
This protocol will test the effectiveness of an intervention, iCHART (integrated Care to Help At-Risk Teens) and facilitate recruitment for other studies in the larger ETUDES Center grant, which are focused on treatment development for target risk factors for suicidal behavior, specifically, sleep, anhedonia, and stress related to cybervictimization. This study will recruit 900 adolescents which will be enrolled in a randomized controlled trial to test iCHART and will be randomized to iCHART or treatment as usual (TAU). Based on previous work, the investigators hypothesize that iCHART, compared to TAU, will decrease suicidal-related events by 50%, and the effects will be mediated by increases in referrals, treatment engagement, and safety planning. The investigators will use implementation science methods to assess contextual factors (i.e., barriers and facilitators) and implementation outcomes specifically, acceptability, feasibility, appropriateness, and cost for our predictive algorithm and iCHART to inform future implementation efforts and promote health equity.
Suicide and Depression· University of Pittsburgh· Gibbsboro, New Jersey · Johnstown, Pennsylvania +5 more· Ages 12–18
The purpose of this multi-site randomized controlled trial is to evaluate the efficacy and risks of psilocybin for the treatment of depression in U.S. military Veterans with and without (±) concurrent posttraumatic stress disorder.
Major Depression· VA Office of Research and Development· Birmingham, Alabama · Tuscaloosa, Alabama +3 more· Ages 18–75