Active clinical trials for "Depressive Disorder, Major"

The purpose of this study is to assess the safety and efficacy of risperidone augmentation in patients who have failed to respond or only partially responded to an adequate trial of an antidepressant.

This is a Multicenter, open lable, parallel randomized controlled clinical trial. This study aimed to evaluate the treatment onset time, efficacy and safety in patients with major depressive disorders , accompanying anxiety receiving Buspirone and Paroxetine.

In the current study, the investigators propose to measure the five domains of social cognition identified by the National Institute of Mental Health (NIMH) as relevant to individuals with psychosis (i.e., theory of mind, attribution style, emotion recognition, social perception, and social knowledge). The investigators will also explore the association between different domains of social cognition and outcomes relevant to psychotic disorder (e.g., symptomatology, social functioning, and vocational functioning).

Several studies suggested low serum levels of vitamin D have been associated with depression. So, the present study is designed to investigate the effect of vitamin D administration along with SSRIs in patients with MDD.

Escitalopram has been approved by FDA in the treatment of adolescents with major depressive disorder since March 2009. To date, there are only 3 clinical trials assessing the effect and validity of escitalopram on major depressive disorder, which of them has resulted in inconsistent findings. In the present study, the authors aimed to assess the effect and validity of this drug in the treatment of adolescents with major depressive disorder and or anxiety disorders.

The investigators hypothesize that the administration of a widely available, naturally occurring dietary supplement, creatine monohydrate, will reduce the severity of depression in individuals with type 2 diabetes. The purpose of this study is to determine whether 12 weeks of creatine supplementation is an effective treatment for depression in individuals with type 2 diabetes.

In this proposed study, the investigators will evaluate the effects of fish oil add-on in treatment of major depressive disorder(MDD).

Open label placebo treatment has been tried for irritable bowel syndrome (Kaptchuk et al, 2010), where three weeks of open label placebo proved superior to a wait-listed control group. Another pilot study demonstrated efficacy in treating children suffering from ADHD with open label placebo treatment (Sandler & Bodfish, 2007). Recent work has shown that placebo openly given can have significant analgesic effects for acute migraines (Kam-Hansen et al, 2014) and for experimentally-induced pain (Schafer at al, 2015). A preliminary attempt to treat depression with open label placebo proved the feasibility of such a study, but was too small and brief for conclusive results (Kelley et al, 2012). We provide here the protocol for a study to assess the effect of open label placebo treatment for depression.

Major depressive disorder (MDD) characterized by high prevalence, high recurrence rate and high disability rate is a mental illness with the heaviest burden and has become a major public health issue in China and the world. Great challenges in diagnosis and treatment of depression consist of the complicated pathogenesis, a lack of objective diagnostic criteria, unsatisfactory treatment outcomes and poor treatment compliance. The previous studies of our research team showed that depression is affected by multiple factors. We could explore important markers for the diagnosis, treatment and prediction of treatment efficacy in depressed patients' data collected from different dimensions including immunometabolism, brain electrophysiology, brain structure and functional neural circuits, neuropsychology and psychophysiology. Our completed studies in the National Science and Technology Support Program and National Key Research and Development (R&D) Program of the 12th and 13th Five-Year Plan in China found that treatment designed for specific clinical subtypes can improve the treatment effect, and meanwhile, the application of electronic-measurement based care (e-MBC) combined with smart mobile terminals can effectively provide whole-course medical management for patients, improve patient compliance and increase the efficacy of clinical diagnosis and treatment. However, due to disease diagnosis based on clinical symptomatology without subtype distinction and lack of multi-scale biological data mining, multidimensional assessment and deep integration, the results of most previous studies can hardly be used in clinical practice. Therefore, there is a strong urge to carry out a systematic research in which multidimensional evaluation of clinical characteristics and a large scale of data collection and mining are needed to form clinical diagnosis and optimal treatment regimens for depression subtypes. To achieve the goal, patients with depression will be our research subject in this study. First, on the basis of the previous cohort study and the whole-course e-MBC, patients' data of movement, respiratory rate, heart rate and sleep will be further collected. With the help of artificial intelligence (AI) technology such as deep machine learning, the data integrated with EEG imaging and specific immunometabolic markers in blood will be analyzed with clinical characteristics. The model of diagnosis and classification will be established based on multidimensional clinical assessment and verified. Second, through a prospective multicenter randomized controlled trial, optimal treatment regimens for different depression subtypes and individualized magnetic stimulation physical intervention technology navigated by AI will be explored so as to establish a predictive model of curative effect. Finally, long-term follow-up and its regular data collection can be completed on the patient diagnosis and treatment platform which is linked to the e-MBC. Thus, a stable clinical cohort and an advanced database containing multidimensional information of depression will be set up. The whole course e-MBC management platform will be optimized and promoted to improve patient compliance, treatment efficiency and prognosis. This study can provide evidence for precise diagnosis and classification of depression and optimal treatment regimens for different subtypes.

To compare the efficacy of blue light, bright light and dim light in the treatment of with nonseasonal major depression disorder(MDD) in adults.