View clinical trials related to Depressive Disorder, Major.
Filter by:Cognitive behavioral therapy (CBT) is a brief, efficient, and effective treatment for individuals with depressive/anxiety disorders. However, CBT is largely underutilized within the Department of Veterans Affairs due to the cost and burden of trainings necessary to deliver all of the related disorder-specific treatments (DSTs). Transdiagnostic Behavior Therapy (TBT), in contrast, is specifically designed to address numerous distinct disorders within a single protocol in Veterans with depressive/anxiety disorders, including posttraumatic stress disorder. The proposed research seeks to evaluate the efficacy of TBT by assessing psychiatric symptomatology and related impairment outcomes in Veterans with depressive/anxiety disorders via a randomized controlled trial of TBT and existing DSTs in Veterans with major depressive disorder, posttraumatic stress disorder, and panic disorder. Assessments will be completed at pre-, mid-, and post-treatment, and at 6-month follow-up. Process variables also will be investigated.
The central goal of this application is to demonstrate the causal contribution of reward learning signals (expected values and reward prediction errors [RPE]) to antidepressant responses (Aim1) by experimentally manipulating expected values using transcranial magnetic stimulation (TMS) targeting the vmPFC (Aim 2) and μ-opioid striatal RPE signal using pharmacological approaches (Aim 3).
This trial will compare active intermittent theta burst stimulation (iTBS) rTMS in an accelerated treatment schedule (8 treatment sessions per day for 5 days) to a placebo control. Depression symptom severity will be measured before, during, at end of treatment, 1-week post and 4-weeks post treatment.
The purpose of this observational antidepressant study is to determine the efficacy of vortioxetine on depression and cognitive function, and elucidate its potential effects on quality of life in patients with cancer (of any origin). We hypothesise that given its unique mechanism of action as a multimodal serotonin modulator, vortioxetine is set to achieve the above goals while maintaining a favourable side effect profile.
The overarching goal of the present study is to evaluate the effect of a subanesthetic dose of ketamine 24-hour post-injection on resting state functional connectivity, cognitive control, and reward learning.
The investigators are conducting this study to learn more about the cognitive and attentional processes among individuals with three types of repetitive negative thinking (RNT): mental rituals (as seen in obsessive compulsive disorder, OCD), worries (as seen in generalized anxiety disorder, GAD), and ruminations (as seen in major depressive disorder, MDD). Specifically, the investigators are studying whether psychological treatment can help people with RNT who have trouble stopping unwanted thoughts and shifting their attention.
The purpose of this study is to evaluate the efficacy and safety of Anyu Peibo Capsule comparing with placebo in the treatment of Chinese Patients with Depression.
The lifetime prevalence of major depressive disorder (MDD) is 10%~20%. Worldwide, nearly 340 million individuals have suffered the torture of depression. World Health Organization has reported that MDD would become the most serious global burden of disease and eventually turn into a public health problem in 2030. Varied clinical symptoms, inappropriate treatment, unclear pathogenesis, and lack of recurrent risk early-warning predictors cause a series of clinical problems, such as low diagnostic rate, low effective treatment rate, and high recurrent rate. Hence, this study aims to search multidimensional markers for early diagnosis of MDD, to establish optimized personalized therapy, and to explore sensitive recurrence predictors. Based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), MDD is subdivided into eight different clinical specifiers, one of which the incident rate of MDD with atypical features reaches 30%~38%. However, there is still a lack of meta-evidence for the clinical treatment strategy in MDD with atypical features. And 45.4 percentage of MDD with atypical features convert to bipolar disorder. Therefore, this study will focus on three issues about what's the objective endophenotype in MDD with atypical features, how to select appropriate personalized treatment for MDD with atypical features, what's the predictive biomarker of conversion to bipolar disorder. Based on the investigators' previous findings, this study will investigate adult depression at a cross-sectional study and a prospective cohort study. Multivariate informatics analysis was performed from three research dimensions (cognitive neuropsychology, metabonomics, and multimodal neuroimaging), including atypical features, "cold/hot" cognition assessment, KP (kynurenine pathway) metabolomics and inflammatory factors, multimodal MRI robust property. Referring guidelines for the diagnosis and treatment of depression and evidence-based medicine evidence, MDD with atypical features are divided into f groups (antidepressants, antidepressants+mood stabilizers, mood stabilizers, treat as usual). Then, the investigators perform follow-up to verify optimized treatment strategies and to explore risk factors of conversion from MDD with atypical features to bipolar disorder. Furthermore, this study performs correlation analysis to analyze cross-omics data, weight coefficient analysis to analyze multidimensional indexes, clustering analysis to analyze multivariate bio-information data, and artificial intelligence technologies (such as pattern recognition, and machine learning) to realize the transformation from medical data to practical transformation. Eventually, this study builds three specific models (the multidimensional early diagnosis models for MDD with atypical features, the optimized personalized therapy model, and the recurrence and conversion risk early-warning model), which form the integrated intelligent platform for multidimensional diagnosis, personalized treatment, recovery management of MDD with atypical features.
Major depressive disorder (MDD) is a chronic disease with high incidence rate, high recurrent rate and need whole course medical management. Varied clinical symptoms and unclear pathogenesis cause a series of clinical problem, such as low diagnostic rate and low effective treatment rate. Based on neuroimmune mechanisms of MDD, our previous study indicates that kynurenine pathway (KP) in serum may be the connections between central immune and peripheral immune, that key factors of KP may change the brain structure and function through affecting the central immune. The core research issue of this project are the inherent associations between metabonomics of inflammatory factors in KP, clinical phenotypes of MDD, and neuroimaging features. This project will focus on first-episode MDD, mass spectrometry analysis of KP factors will be conducted first, also multi-modal neuroimaging techniques will be applied to detect topological characteristics of brain structure and function in MDD and extract standard models, then correlation analyses will be performed between these molecular biological features and multi-dimensional clinical data in order to integrate KP metabonomics, core clinical characteristics (depressed mood, energy loss, interest loss and so on), neuroimaging biomarkers, and finally construct the deep learning based standard diagnostic technique of MDD. Additionally, this project will follow up MDD patients with different core clinical characteristics to certificate the aforementioned diagnostic technique as well as explore optimized treatment for different clinical subtypes.
Background: Recent studies have suggested that gut-brain axis may be one of the mechanisms of major depression disorder. In animal studies, alteration of gut microbiota can affect animal's depression or anxiety-like behavior, brain neurochemistry and inflammation. In human studies, the composition of gut microbiota is different between patients with MDD and healthy controls. In addition, supplementation of probiotics can improve mood status in community and clinical participants. In preliminary open trial, the investigators found PS-128 can significantly reduce depression severity in patients with MDD. Therefore, the investigators would like to conduct an 8-week randomized, double-blind, placebo controlled trial of PS-128 in patients with MDD. Aims: This study will be an 8-week randomized, double-blind, placebo-controlled trial to investigate the effects of Lactobacillus plantarum PS128 on psychophysiology in patients with MDD. Method: This is a two-phase study. In the first phase, the investigators will recruited patients fulfilling the following inclusion criteria: Age 20-65; fulfill Diagnostic and Statistical Manual of Mental Disorders fifth version (DSM-V) criteria of major depressive episode in recent 2 years; Psychotropics including antidepressants, antipsychotics and hypnotics have been kept unchanged for at least 1 months. The exclusion criteria are: comorbid with schizophrenia, bipolar disorder, or other substance use (except tobacco) disorder; having active suicidal or homicidal ideation; known allergy to probiotics; comorbid with diabetes mellitus, irritable bowel syndrome, inflammatory bowl disease, liver cirrhosis, or autoimmune diseases; known active bacterial, fungal, or viral infections in one month; use of antibiotics, steroid, immunosuppressants, probiotics, or synbiotics in the month before collecting blood and fecal samples; pregnant or lactating women; who state to have dietary pattern changed or in diet within previous two months. Those with HAMD-17 >=14 in the first screen will be randomized to PS-128 or placebo, with the ratio of 1:1, in the second phase intervention. In the second phase intervention, the investigators will give eligible patients Lactobacillus plantarum PS128 or placebo for 8 weeks, and compare depression symptoms, gut microbiota, gut permeability, and serum inflammation level before and after intervention.