Active clinical trials for "Depression"

The primary aim is to prevent depression in youth and parents in a single, integrated family intervention. Hypothesis 1a: Children in the Family Depression Prevention (FDP) program will have significantly lower levels of anxious/depressive symptoms and fewer onsets of depressive episodes as compared to children in the Written Information (WI) condition. Hypothesis 1b: In parents, the amount of time in a depressive episode will be significantly lower for those in the FDP program as compared to those in the WI condition.

This is a prospective, randomized, double-blind, parallel-group controlled trial. The aim of this research project is to compare the clinical benefits achieved in patients with major depressive disorder (MDD) following two types of intervention: iTBS active alone or iTBS active combined with olfactory stimulations.

In the United States, adolescents experience alarmingly high rates of major depression, and gold-standard treatments are only effective for approximately half of patients. Rumination may be a promising treatment target, as it is well-characterized at the neural level and contributes to depression onset, maintenance, and recurrence as well as predicts treatment non-response. Accordingly, the proposed research will investigate whether an innovative mindfulness-based real-time functional magnetic resonance imaging (fMRI) neurofeedback intervention successfully elicits change in the brain circuit underlying rumination to improve clinical outcomes among depressed adolescents.

PETRUSHKA is aimed at developing and subsequently testing a personalised approach to the pharmacological treatment of major depressive disorder in adults, which can be used in everyday NHS clinical settings. We have collected data from patients with major depressive disorder, obtained from diverse datasets, including randomised trials as well as real-world registries (registers that hold routinely collected NHS data from the UK). These data summarise the most reliable and most up-to-date scientific evidence about benefits and adverse effects of antidepressants for depression and have been used to inform the PETRUSHKA prediction model to produce individualised treatment recommendations. The prediction model underpins a web-based decision support tool (the PETRUSHKA tool) which incorporates the patient's and clinician's preferences in order to rank treatment options and tailor the treatment to each patient. This trial will recruit participants from the NHS within primary care in England and investigate whether the use of the PETRUSHKA tool is better than 'usual care' treatment in terms of adherence to antidepressant treatment, clinical response and quality of life, and its cost-effectiveness over a 6-months follow up.

The goal of this observational study is to determine the feasibility of using integrated Transcranial Doppler Ultrasonography or Near Infrared Spectroscopy to detect changes in cerebral autoregulation and neurovascular coupling in healthy, stroke, dementia, depression and delirium populations. We also aim to: Determine the optimal stimulus for neurovascular coupling To derive sample size estimates for a future study To develop a multilevel, multivariate model that can be applied to future datasets

There are many common pharmacological treatments for major depression disorder (MDD), however the efficacy of these drugs often fails in severe cases. Intravenous (IV) administered ketamine may offer the potential for remission of the symptoms in patients with MDD; however it has not yet been approved by FDA for this purpose. This study will make use of an electroencephalography (EEG) machine to measure the brain's activity and response while the IV ketamine is being delivered. The objective of this study is to characterize the change in EEG response of patients with MDD, during and 4 weeks after a course of IV ketamine infusions.

This study evaluates the use of an oral multi-strain probiotic in the treatment of depression in individuals with Parkinson's Disease. Participants will be randomized to either 12-week multi-strain probiotic treatment or placebo with an optional fMRI scan.

This study seeks to evaluate and compare the effectiveness of a mobile phone application-based intervention in improving wellbeing in young adults. 400 University students are randomized into 1 of 4 intervention types. Pre, mid and post-intervention outcome measures are compared to determine effectiveness of the various intervention types.

The goal of this clinical trial is to validate the use of digital Acceptance and Commitment Therapy (Digi-ACT) in Hong Kong curative cancer patients with depressive and anxiety symptoms. The main questions it aims to answer are: Can Digi-ACT reduce depressive or anxiety symptoms? Can Digi-ACT improved health-related quality of life? Is Digi-ACT an acceptable and feasible intervention for users? What are the factors that influence the success of Digi-ACT? Can the video journals used in Digi-ACT predict depressive symptoms? Intervention group participants will install the Digi-ACT mobile application and undergo a 3-4 week long intervention. They will have to fill out questionnaires at baseline, immediately after the intervention, and at three month follow up to measure depression and anxiety symptoms, health-related quality of life, acceptability of the intervention, and other process outcomes related to the intervention itself. Researchers will compare the outcomes with a group of participants that undergo a 3-4 week long period where they navigate a similar mobile platform that gives bi-daily psychoeducational videos that also fill out the same clinical questionnaires at baseline, post-intervention, and at three month follow up.

The investigators will be comparing brain (neural) activation of depressed adolescent patients before, during and after a course of Behavioral Activation (BA) therapy using functional magnetic resonance imaging (fMRI). In particular, the project seeks to determine whether BA targets different neural mechanisms for behavioral avoidance associated with low motivation as compared to threat avoidance. A group of healthy controls will also be scanned as a comparator group for behavioral and imaging measures.