Active clinical trials for "Depressive Disorder"

This study aims to better adapt cognitive behavioral therapy for insomnia (CBTi) for people with comorbid depression by using objective sleep measures to tailor the behavioral interventions components of CBTi. Using ambulatory monitors, we also aim to investigate changes in brain activity and heart rate throughout the intervention. In this parallel-group randomized clinical trial, participants undergo one week of baseline ambulatory monitoring after which they are randomly assigned to one of two intervention arms: 1) digitally delivered CBTi (eCBTi) based on standard subjective sleep measures (sleep diary), or 2) eCBTi based on objective sleep measures (EEG headband). The intervention spans over 5-weeks, followed by a week of ambulatory monitoring and follow-up measures one week and one month after the end of the intervention. The study also includes a post-intervention interview to gather feedback on participant experiences. The overall protocol includes online questionnaires and structured clinical interviews assessing sleep, insomnia, and mental health, as well as treatment-related measures before, during, and after the intervention. It is anticipated that eCBTi using objective sleep measures will lead to better treatment acceptability, satisfaction, and effectiveness, including greater improvements in symptoms of insomnia and depression. It is also anticipated that sleep EEG and heart rate profiles will improve along the course of eCBTi.

This is a cross-sectional pilot study designed to establish hot and cold cognitive functions and underlying neurocircuitry in older adults with MDD. The investigators will study 60 participants aged 21-80 years old with MDD. All participants will undergo clinical and neurocognitive assessment, and Magnetoencephalography (MEG)/Magnetic resonance imaging (MRI) procedures at one time point. The investigators will also enroll 60 demographically matched comparable, never-depressed healthy participants (controls) to establish cognitive benchmarks. Healthy controls will complete clinical and neurocognitive measures at one time point. To attain a balanced sample of adults across the lifespan, the investigators will enroll participants such that each age epoch (e.g., 21-30, 31-40, etc.) has a total of ten subjects (n=10) in both the healthy control cohort and depressed cohort.

Double-Blind, Placebo-Controlled, Multicenter Study of Efficacy and Safety

Repetitive pulse transcranial magnetic stimulation (rTMS) is a noninvasive treatment that involves stimulating the brain; however, treatment benefit depends on placing a TMS coil in the correct place on the head to reach critical brain regions below. Clinicians typically use scalp-based targeting, a process in which rather than using MRI guidance to target brain regions for stimulation, they use landmarks on the scalp. Several researchers, including the investigators' lab, showed that the current scalp-based targeting techniques do not position stimulation above the correct brain region, and patients fail to respond. The investigators propose to improve clinical scalp-based targeting by comparing it to MRI guided targeting. The most common clinical population receiving rTMS therapy is depressed patients. The investigators' plan is to study the accuracy of certain scalp-based rules in patients with depression. Accurate brain stimulation targeting is critical for effective rTMS therapy. For participants who are not undergoing rTMS therapy who have COVID-19 distress, we are offering a combined home-based neuromodulation (transcranial electrical stimulation) and focused psychotherapy program dedicated to improving the same outcome measure, quality of life. Transcranial electrical stimulation (tES) stimulates the brain over a large region; however, we are able to model with brain imaging which brain regions receive the strongest stimulation. Our goal is still to examine stimulation precision, but we will test whether strength of tES in the same brain regions that rTMS is targeting will also lead to improved quality of life. We will also carefully assess whether it is possible to measure healthy functioning, an outcome in the rTMS study, because sheltering in place may reduce activities and thus distort our measure. We will also test whether our psychotherapy intervention will mitigate this effect and, if so, we may make it available to all those depressed Veterans in whom we're studying the effect of neuromodulation on functioning.

A prospective, multicenter, registered cohort study to observe the incidence of 1-year major adverse cardiac events in patients with coronary heart disease co-morbid depression treated with percutaneous coronary intervention and to clarify the predictors of 1-year major adverse cardiac events post PCI among these patients.

The purpose of this study is to identify pharmacogenetic profiles associated with selective serotonin reuptake inhibitors (SSRI)-induced behavioral disinhibition in children with Major depressive disorder (MDD), anxiety disorders and/or obsessive-compulsive disorder (OCD) that could be used clinically to reduce the incidence of this adverse event and improve health outcomes.

This study is designed to examine SV2A density in MDD and PTSD as a correlate of synaptic density, and to determine whether ketamine administration will reverse the synaptic loss in vivo in human subjects. To our knowledge, this is the first human study to examine SV2A in vivo in MDD and PTSD and to use the first known drug (ketamine) that rapidly reverses synaptic loss to determine whether ketamine administration could restore some of the structural changes associated with depression and PTSD. After a screening process to determine eligibility, all subjects will participate in an MRI, and 2-3 PET scans with the administration of ketamine for one of the scans. Cognitive testing and a stress test may also be done on scan days.

The main goal is to design, develop and evaluate a personalized intervention to prevent the onset of depression based on Information and Communications Technology (ICTs), risk predictive algorithms and decision support systems (DSS) for patients and general practitioners (GPs). The specific goals are 1) to design and develop a DSS, called e-predictD-DSS, to elaborate personalized plans to prevent depression; 2) to design and develop an ICT solution that integrates the DSS on the web, a mobile application (App), the risk predictive algorithm, different intervention modules and a monitoring-feedback system; 3) to evaluate the usability and adherence of primary care patients and their GPs with the e-predictD intervention; 4) to evaluate the effectiveness of the e-predictD intervention to reduce the incidence of major depression, depression and anxiety symptoms and the probability of major depression next year; 5) to evaluate the cost-effectiveness and cost-utility of the e-predictD intervention to prevent depression. Methods: This is a randomized controlled trial with allocation by cluster (GPs), simple blind, two parallel arms (e-predictD vs "active m-Health control") and 1 year follow-up including 720 patients (360 in each arm) and 72 GPs (36 in each arm). Patients will be free of major depression at baseline and aged between 18 and 55 years old. Primary outcome will be the incidence of major depression at 12 months measured by CIDI. As secondary outcomes: depressive and anxiety symptomatology measured by PHQ-9 and GAD-7 and the risk probability of depression measured by predictD algorithm, as well as cost-effectiveness and cost-utility. The e-predictD intervention is multi-component and it is based on a DSS that helps the patients to elaborate their own personalized depression prevention plans, which the patient approves, and implements, and the system monitors offering feedback to the patient and to the GPs. It is an e-Health intervention because it is based on a web and m-Health because it is also implemented on the patient's smartphones through an App. In addition, it integrates a risk algorithm of depression, which is already validated (the predictD algorithm). It also includes an initial GP-patient interview and a specific training for the GP. Finally, a map of potentially useful local community resources to prevent depression will be integrated into the DSS.

This study aims to investigate changes in functional connectivity over a four week treatment course with intermittent theta burst stimulation (iTBS) in patients with major depressive disorder (MDD). To this end, seven weekly resting-state fMRI (rs-fMRI) scans at 7 tesla (7T) will precede, accompany and follow the iTBS treatment course. By obtaining several samples of the modulatory effects of iTBS on functional connectivity networks and simultaneous measurements of the depressive symptoms it will be possible to assess the time course of changes in connectivity across different networks, and to assess the overall relationship between the network modulation and the antidepressant effects of the treatment over time.

Globally a third of adolescents are at risk of depression with negative consequences for their health and development. Most of the world's adolescents live in low- and middle-income countries (LMICs) where access to treatment for depression is limited. Psychological interventions are treatments that seek to change behaviours, cognitions and feelings to improve mental health but few have been tested with adolescents in LMICs. This study will use a cluster randomised controlled trial approach to test one such intervention, interpersonal therapy (IPT) for adolescents in Chitwan district, Nepal. The current study will compare whether adolescents (aged 13-18) with depression who receive group interpersonal therapy improve more than adolescents who receive information about local mental health services but no active intervention (enhanced usual care). Adolescents' depressive symptoms will be assessed eight to ten weeks after IPT has finished using the Patient Health Questionnaire modified for adolescents (PHQ-A). We will also aim to assess the feasibility and acceptability of delivering group IPT in secondary schools in Chitwan, Nepal. In addition, in this trial we aim to refine our hypotheses around why IPT works, how, and for whom, and pilot the tools which will be used to answer these questions later in the full trial.