Depression Clinical Trials

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

The goal of this study is to test the efficacy and feasibility of a clinician-guided, app-based cognitive behavioral therapy (CBT) program, SilverCloud, as a school-based mental health intervention for vulnerable youth. An open trial of SilverCloud will be conducted to determine preliminary efficacy in this sample and inform program refinements by collecting outcome self-report assessments and conducting interviews on feasibility and acceptability. After the program and its implementation strategy are refined, we will conduct an randomized controlled trial. Adolescents who screen positive for significant mental health symptoms and who are enrolled in their school-based health center (SBHC) will be randomized to receive SilverCloud or treatment as usual (TAU). Efficacy will be assessed through outcome self-reports. Feasibility and acceptability feedback will again be collected from participants, SBHC staff, and community members. Read Less

Chronic health conditions (CHC) commonly share the challenge of impaired health-related quality of life, negatively impacting the lives of millions of people in the United States. Long term effects for living with a chronic health condition are likely to include poor self-management behaviors, which are related to avoidance of disease related thoughts and feelings (e.g., health anxiety) and can be addressed directly with psychosocial interventions. With the focus on fostering values driven and meaningful behavior while accepting thoughts and feelings, ACT may prove to be a particularly effective approach for individuals coping with the challenging symptoms and effects of having a chronic health condition. Previous web-based ACT interventions for CHCs have focused on building ACT skills for a narrow subset of CHCs (e.g., breast cancer, diabetes, tinnitus). While there is added benefit for a self-help program for populations with specific stressors or conditions, there is also a high prevalence of comorbidity in CHCs, shared challenges in illness management and coping, and clear evidence that ACT works effectively across CHCs to improve quality of life. Thus, our goal of this research project is to evaluate a new 6 session, online, self-guided ACT program for adults with chronic health conditions broadly to improve their quality of life and wellbeing through a randomized controlled trial. The specific aims are: To evaluate the feasibility of an initial prototype of ACT program for adults with CHC's as indicated by recruitment, retention, and adherence rates. To evaluate the acceptability as indicated by self-reported program satisfaction and qualitative feedback following the course completion. To identify ways to further refine the program based on participant self-reported satisfaction with sessions and open-ended text-based feedback. To test the efficacy of the program on improving quality of life among adults with CHC's. Read Less

The goal of this research is to test if a prenatal yoga app can improve well-being in African American/Black (AA) pregnant women. The main questions it aims to answer are: Is the Down Dog prenatal yoga app feasible for AA pregnant women? How does mental and physical health change after using the Down Dog app for 12-weeks? What cultural adaptations to the Down Dog app are needed? The study lasts for 12 weeks and participants are asked to: do prenatal yoga with the app for at least 20 min/day, three days/week, from home wear a Garmin Vivosmart 5 watch daily complete four online surveys complete an optional virtual interview This project aims to advance public health by contributing to a broader understanding of how prenatal yoga can support the health and well-being of AA pregnant women and promote optimal maternal and child health outcomes. Read Less

the investigators will use 4 technology based tools (combinations of youtube videos, links to online resources, tiktok videos, and other media) in a study of 96 Sexual and Gender Minority Youth (SGMY) to determine the effectiveness of them in helping youth to seek out mental health help. Participants will be divided into 1 of 16 groups and will interact with other participants anonymously on Discord. Each group will have access to 1, 2, 3, or all 4 of the tools which are categorized by a specific subject (except for one group who will have no access to the tools in order to compare this outcome against those who use the tools). There will be a survey before starting the Discord portion which will last 4 weeks, and a survey afterwards. Read Less

The objective of this study is to collect data to finalize the development of MEB-001 software as a medical device. The data collected in this study will be used to develop MEB-001 machine learning algorithms by training the algorithms to match the patient's demographic and clinical information, and the objective physiological signals (i.e., electroencephalogram (EEG) and electrocardiogram (ECG)) recorded during PSG with the diagnosis of cMDE performed through the MINI neuropsychiatric evaluation. Read Less

The goal of this study is to understand why some people act more impulsively when feeling negative emotions, which is called negative urgency. The researchers hope to understand how negative urgency relates to the way networks of brain cells communicate with one another. The researchers will measure negative urgency and brain signals in adolescents aged 13-21 years with depression and suicidal thoughts and behaviors. The main questions it aims to answer are: Whether a type of brain signaling called cortical inhibition is related to negative urgency Whether depressed adolescents with suicidal behavior have more problems with cortical inhibition than depressed adolescents with suicidal thoughts only Whether the relationship between negative urgency and cortical inhibition changes over time Adolescents who participate in the study will complete the following activities at the time they join the study, as well as 6 months and 12 months later: Interviews with researchers and questionnaires to learn about their thoughts, emotions, and symptoms A questionnaire about impulsive behaviors and negative urgency Computerized games that measure brain functions An MRI scan of the brain Transcranial magnetic stimulation with electroencephalography (TMS-EEG), a way to measure how brain cells communicate (cortical inhibition) using a magnet placed outside of the head and recording brain signals Read Less

The purpose of this randomized controlled trial is to understand how a cognitive-behavioral treatment (a form of psychological treatment) for depression changes the gut microbiome (micro-organisms that regulate the health of the gut), immune system, and the brain functioning in people living with HIV. Read Less

The Veteran population has been known to deal with co-morbid chronic pain and PTSD. As a result, they use healthcare services at a higher rate than those Veterans with pain or PTSD alone which leads to an amplified burden on healthcare systems. tDCS is a painless brain stimulation treatment that uses direct electrical currents (at a constant, low-intensity level) to stimulate specific parts of the brain and help modulate neuronal activity. This study hypothesizes that our short-term therapy-focused treatment program coupled with tDCS administrations will aid in the reduction of chronic pain and PTSD symptoms. Secondly, the investigators intend to examine any relationships between BDNF reduction in reported pain and PTSD and related mental health symptoms. Subjects will be identified from the Emory Healthcare Veterans Program (EHVP-IOP) Veterans and Service members seeking psychiatric treatment for mental health issues including PTSD. Read Less

This study will investigate whether transcranial direct current stimulation (tDCS) enhances the effects of cognitive training in older adults with depression. Read Less

This study will provide data for evaluating the psychometric characteristics of the tests assessing cognitive flexibility, including their (1) internal consistency, (2) feasibility and tolerability, their (3) convergent and discriminant validity of cognitive and affective constructs such as those introduced to understand mental disorders, and (4) sensitivity (and correspondence) to individual differences. For these tests to be useful in studying clinical conditions, they must show adequate reliability, validity, and sensitivity in large samples of convenience. Read Less

Low income women of childbearing age are at increased risk for depression and often do not receive needed treatment. Investigators developed Mom-Net, an on-line cognitive behavioral treatment (CBT) for depression to address the needs of low income women of childbearing age. The intervention program also includes live coaching to help the mothers engage and learn the CBT material. Mom-Net has been shown to be highly effective in reducing depressive symptoms and improving parenting behavior and child adjustment, in earlier controlled trials. In this project the investigators are examining whether access to Mom-Net can be expanded by delivering it in Head Starts (HS). To address that broad question, the investigators will focus on two sets of scientific questions: Implementation Questions: e.g., Can HS agencies deliver the program successfully; do HSs choose to sustain the program after the research project ends; what agency characteristics are associated with successful delivery of Mom-Net); Effectiveness Questions: e.g., Does Mom-Net reduce maternal depression when delivered by Head Start agencies, with HS staff doing the coaching? Head Start agencies will be randomized to deliver either Mom-Net with the usual high-intensity coaching or with a low-intensity coaching alternative. Within each agency, depressed mothers will be randomized to receive either: 1) Mom-Net program; or 2) Treatment as Usual (TAU;) referral to community mental health providers). Mothers initially assigned to the TAU condition, will have the option of receiving Mom-Net at a later date. Mothers will participate in assessments of depressive symptoms, parenting behavior, and child adjustment at Time 1 (T1; prior to randomization); and Time 2 (T2; after the intervention period) and Time 3 (T3; one year after T1). Read Less