View clinical trials related to Depressive Disorder.
Filter by:This study aims at investigating the special effectiveness of antidepressant effect of Fluvoxamine for endogenous depression. The investigators also aim to assess the effect of Fluvoxamine on the multimodal magnetic resonance imaging(MRI), blood cytokines, feces bacteria flora and neuropsychological performance in depression patients with melancholic features. The investigators further aim to identify the predictors of Fluvoxamine's antidepressant effeect using the above techniques.
The main purpose of this study is to investigate the adverse cognitive side-effects of electroconvulsive therapy (ECT). The second aim is to investigate the mechanisms of effect of ECT.
Schizophrenia and depression are among the most disabling disorders in all of medicine. Cognitive deficits play a key role in patients' disability, affecting their capacity to contribute actively to society by sustaining employment or academic activity. Moreover, cognitive difficulties tend to persist even after the stabilization of other clinical symptoms. Verbal memory and emotion regulation are two important cognitive domains that are impaired in schizophrenia and depression and are associated with patients' functional outcomes. In this study, we are using brain imaging to investigate the brain mechanisms underlying these cognitive deficits in these populations.
Suicide accounts for at least 1 million deaths globally each year. This is likely a significant underestimate, because suicide is under-reported in many countries. In the US, over 42,000 people die from suicide annually. Despite increased focus on identification and treatment, the rate of suicide has increased steadily over the past 15 years. Our project aims both to improve our understanding of factors that increase the risk for suicide by comparing blood biomarkers associated with inflammation in patients with depression without suicidal behavior and patients with depression and suicidal behavior. The 160 individuals in this study will be followed with psychiatric assessments and blood samples at repeated time points over one year.
This is a randomized comparative effectiveness study of two forms of enhanced prenatal care among 657 Medi-Cal eligible pregnant individuals in Fresno, California. The goal is to see whether group prenatal care with wrap around services versus individual prenatal care supplemented by services covered by the California Department of Public Health Comprehensive Perinatal Services Program (CPSP) results in less depression and anxiety, and more respectful, more person-centered maternity care and lower rates of preterm birth.
Based on the mechanism hypothesis and clinical efficacy of VNS in treating refractory depression, this study will evaluate the safety and efficacy of VNS in treating refractory depression through a small sample of clinical trials
This study will examine the effects of smartphone-based lifestyle medicine (LM) for alleviating depressive and anxiety symptoms in Chinese population. Since a range of lifestyle factors are involved in the pathogenesis and progression of depression and anxiety, modifying different lifestyle factors simultaneously, for example, diet, exercise, stress and sleep which are empirically supported by previous reviews, may be effective to reduce depressive and anxiety symptoms. Traditional Chinese medicine concepts will be integrated into the app to increase the acceptability towards mental health treatment. Through this study, we aim to promote evidence-based patient care and to improve help-seeking and access to evidence-based interventions for depression and anxiety.
Major depressive disorder (MDD) is a debilitating disease characterized by depressed mood, diminished interests, impaired cognitive function and vegetative symptoms, such as disturbed sleep or appetite. MDD affects one in six adults in their lifetime. To date, decisions regarding specific treatment protocols for MDD are based on clinical experience and risk factors with limited data on outcome prediction. In addition, since it takes 8 weeks to assess if a treatment is successful, the long and often unsuccessful search for an effective antidepressant is accompanied by significant decrease in patients' quality of life, an increased risk of suicidal action, and decreased chance of response and remission with each attempt. This has led to examination of various markers (e.g., neuroimaging, electrophysiological, genetic and behavioral) in an attempt to predict the response to various forms of treatments, including pharmacotherapies and TMS (Transcranial Magnetic Stimulation) for depression. Elminda had developed a novel, non-invasive imaging EEG-based technology, Brain Network Analytics (BNA), for visualization and quantification of specific brain functions. The rationale of the study is to develop a reliable marker for MDD treatment outcome based on the BNA.
Targeted and individualized treatments for mental health disorders are critically needed. Repetitive transcranial magnetic stimulation (rTMS) represents the front-line of new and innovative approaches to normalizing dysfunctional brain networks in those with mental illness. rTMS is FDA-approved for depression and obsessive-compulsive disorder with clinical trials underway for PTSD and addiction, among others. However, remission rates are suboptimal and ideal stimulation parameters are unknown. We recently completed a randomized, double blind clinical trial and a depression severity biomarker that predicts clinical outcome. The overarching goal of this study is to develop the first broadly generalizable platform for real-time biomarker monitoring and personalized rTMS treatment. We plan to recruit patients with medication-resistant depression and in perform a four-phase, cross-over, double-blind, placebo-controlled trial to 1) identify how standard and optimized rTMS patterns engage the depression severity biomarker, and 2) determine the dose-response of these rTMS patterns. Findings from this study will provide the basis for a double-blind, randomized clinical trial comparing rTMS optimized to the individual against standard rTMS.
Depression is a common condition and is the leading cause of disability worldwide. Preventing or delaying the onset of depression is an important way to reduce the burden of depression. Some research suggests online methods may be effective in preventing depression, but to date, few studies have looked at the application of these methods in the UK. This study aims to assess the effects of an online self-help intervention (Moodbuster) on preventing depression in a primary care population, who are experiencing mild-moderate symptoms of depression, but do not meet the threshold for diagnosis. A randomised control design with a six-month and nine-month follow up will be used to compare Moodbuster to a wait-listed control group. Then, a qualitative process evaluation will be used to understand the barriers and facilitators of implementing the intervention. Eligible participants in Greater Manchester (individuals with mild to moderate symptoms of depression, who do not have a diagnosis of major depressive disorder and have access to the internet) will take part in a 6-week online self-help programme, accompanied by three telephone calls with a trained researcher to support them in their use of the programme. Researchers will follow-up with participants six and nine months after starting the programme to measure depression, anxiety, quality of life, and use of services. The process evaluation will involve qualitative interviews with participants and focus groups with practitioners who referred individuals to the study. This study will assess the effects of Moodbuster on preventing depression and barriers and facilitators of implementing such an intervention in a UK primary care population. It is hypothesised that the intervention group will display reduced depression symptoms and incidence, reduced service use, and improved quality of life, and the intervention will be acceptable to a UK primary care population.