Active clinical trials for "Depressive Disorder, Major"

Subjects with major depression will be evaluated and intensively characterized through questionnaires, computerized cognitive evaluation and laboratory investigations. Magnetic resonance imaging will be used to document baseline white matter structure. subjects will then receive desvenlafaxine which will be adjusted as clinically indicated. After 16 weeks the evaluations will be repeated.

The objective of this study is to investigate the antidepressant efficacy of rTMS, and to assess cortical metabolism before and after rTMS sessions in patients with major depression. We also aimed to investigate differences between the responders and nonresponders to rTMS and what would predict clinical response to rTMS.

The aim of this study is to explore how gender dysphoria is experienced among adolescents aged 13 - 18 from a clinical population. The method is qualitative, with a phenomenological approach. Qualitative in-depth data on how gender dysphoria is experienced by the adolescents themselves is lacking in the research literature. As a consequence the within perspective from the clients is lacking. In addition, one aim is to help develop further hypothesis and clinical theory and rationale.

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.

The aim of this study is to understand how best to promote engagement with remote measurement technology (RMT) research in major depressive disorder, using the RADAR-MDD infrastructure as a case study. An adapted questionnaire app with insightful notifications and progress visualization will be compared against the app as usual, in terms of behavioural and experiential engagement.

In this proposal, the investigators aim to explore the clinical subtypes and biological markers to personalize the use antidepressants in MDD. By stratifying the subjects with (versus without) remission and treatment response, the biological markers are expected to have important prediction effects in future clinical practice.

This study is expected to include 90 patients with major depressive disorder and rheumatoid arthritis as study subjects.Randomly divided into 3 groups: drug + VNS stimulation group, drug + sham stimulation group and drug group, each group had 30 patients.The treatment period of each group was 8 weeks.Age and sex were matched in all three groups.Scale evaluation and inflammatory factor test were performed before treatment (baseline), at week 4 and week 8 after treatment.Head MRI, evoked potential, and electrocardiogram were performed at baseline and at the end of week 8.

As an important micro-ecological factor in human body, intestinal flora is closely related to the occurrence and development of major depressive disorder. The purpose of our study is to investigate a microbiome probe of depression. This study is a 6-months open trial that will enroll approximately 30 patients in major depressive disorders and 10 age- and sex-matched healthy controls. We will comparing gut bacteria community structures of pre- treatment, those of 1 month and 6 months after treatment to remission. With the microbiome change in a preliminary analysis of pre-and post-treatment, we will reveal the diversity before and after the depression treatment.

The investigators aim to characterize fecal microbial biomarkers as well as blood cytokine levels in MDD patients vs. healthy controls. 40 MDD patients will be recruited for this study, as well as 20 healthy age-matched participants (as a control group). Following signing of informed consent, stool and blood (20 ml) samples will be collected from all participants, for microbial composition assessment, and blood measures of inflammation and protein expression. According to clinical assessment of the diagnosed MDD patients, the psychiatrist will recommend SSRI or ECT treatment, and the patients will be divided accordingly to treatment group. Clinical status will be assessed by the Hamilton Depression Rating Scale (HAM-D) scored by a psychiatrist at the starting point (before treatment), after 4 weeks of treatment (as ECT-group patients receive 8-12 treatments on average). A lowering in the HAM-D score will be considered clinical improvement which may be attributed to treatment. The investigators expect a treatment success rate of over 50% for ECT according to past experience. Blood and stool samples will be collected from MDD patients after 4 weeks of treatment, repeating inflammatory, protein expression and microbial measurements and comparing them to initial results. Additional data recorded will include age, BMI, ethnicity, previous medication use, and number of ECT treatments or current medication.

The investigators plan to use optical brain imaging technology to observe patients with current major depression before, during, and after repetitive Transcranial Magnetic Stimulation (rTMS) clinical treatment. Clinical treatment involves 20-30 rTMS sessions over the course of 4-6 weeks. Our primary hypotheses are as follows: Primary Hypothesis: In patients with a positive response to rTMS, the investigators will observe an increase in the strength of connectivity as measured by fMRI among brain regions in the cognitive control network after 4 weeks of treatment. Secondary Hypothesis: Brain activation measured by functional Near-Infrared Spectroscopy(fNIRS) in the dorso-lateral prefrontal cortex (DLPFC) during rTMS will increase as the number of treatments increase. Detection of this increase in brain activity at the beginning of the treatment help researchers and physicians assess treatment response.