Active clinical trials for "Depressive Disorder"

This qualitative nested sub-study will aim to explore how chronic pain (as defined as pain lasting for more than 3 months) impacts older adults' depression and treatment in a brief psychological therapy of behavioral activation (BA)

The goal of this clinical trial is to learn about how psychotherapy works for children and adolescents aged 8 - 15 with anxiety, depression, trauma, or disruptive behaviour. The main question it aims to answer is: • Is the biobehavioural regulation of negative emotion a transdiagnostic mechanism of treatment response in psychotherapy for children with anxiety, depression, trauma and/or disruptive behaviour? Children and their parents will be randomly assigned to an evidence-based, transdiagnostic treatment (the Modular Approach to Therapy for Children with Anxiety, Depression, Trauma, and Conduct Problems; MATCH-ADTC) or a waitlist control condition. Participants in both groups will complete a baseline assessment, weekly measures consisting of brief symptom scales and medication tracking, and quarterly assessments every 3 months. Following the intervention/waitlist period, our team will conduct post-test assessments. All assessments, except for the weekly surveys, will consist of symptom scales, clinical interviews, experimental tasks and physiological measures.

The purpose of this 10-week, double-blind, placebo-controlled study is to determine whether inflammation impacts reward and motor neural circuitry to contribute to depressive symptoms like anhedonia and psychomotor slowing in people with Human Immunodeficiency Virus (HIV) and depression. Sixty male and female patients with HIV who have depression, anhedonia and high inflammation and are stable on effective treatment for their HIV will be randomized to receive either the anti-inflammatory drug baricitinib or a placebo for 10 weeks. Participants will complete lab tests, medical and psychiatric assessments, neurocognitive testing, functional MRI (fMRI) scans, and optional spinal taps as part of the study. The total length of participation is about 5 months.

Background of the study: Major depressive disorder is a severe neuropsychiatric condition that affects approximately 15% to 18% of people worldwide during their lifetime (Malhi & Mann, 2018). Selection of the optimal treatment is difficult. A certain correlation (functional / structural, vascular or a mix of both) is expected between clinical data (obtained from psychometric tests such as the HDRS and psychiatric evaluations) and MRI parameters (functional activity, structural connectivity, anatomical variations, perfusion / diffusion etc.). Objective of the study: Identification of MRI-based biomarkers to predict clinical outcome of major depressive disorder in comparison with healthy controls. Outcome is defined by level of depressive and cognitive symptomatology and related comorbidity. Study design: An independent treating physician will inform a potentially eligible patient and ask whether he/she is interested in voluntary participation in the study. If he/she is interested, the independent treating physician will refer the patient to one of the clinicians from the GGz who is also involved in the Neurotrend study for further steps such as providing the information letter / informed consent and scheduling an intake interview at least one week after receiving all necessary information. Healthy controls will be recruited through public advertisement and via the website www.neurotrend.nl. Pilot subjects will be recruited from the Eindhoven University community and via the website www.neurotrend.nl. Both groups, healthy controls and pilot subjects, will have at least one week to consider and decide on participation. One week later an intake session will take place in which the inclusion and exclusion criteria will be checked. During this session, patients can also ask questions about the study and the informed consent will be signed if the participant is willing to participate voluntarily in the study. Subsequently at the end of the intake session, a starting (baseline) date will be planned for this participant . The actual participation starts at baseline. In total, 120 depressed patients and 60 healthy controls will participate in the study. Each participant visits Kempenhaeghe twice, whereby each session, is dedicated to complete questionnaires and cognitive tests, such as memory tasks and eye tracking. In the last hour, the participant will be scanned (MRI). Two weeks before each visit, the participant has to fill in some questionnaires that have been sent to the participant. Study population: 120 patients with major depressive disorder and 60 healthy controls*. * Inclusion of up to 30 healthy "pilot" participants for technical evaluation. See above. Primary study parameters/outcome of the study: Hamilton Depression Rating Scale (HDRS) scores Treatment / medication usage MRI metrics (varies per MRI modality, an example is volume per region for a T1-weighted scan and fractional anisotropy for diffusion-weighted scans). Secondary study parameters/outcome of the study (if applicable): Scores of psychometric assessments (e.g. STAI-DY1 - anxiety score) Scores of cognitive assessments (e.g. average response time for the eye-tracking task) Nature and extent of the burden and risks associated with participation, benefit and group relatedness (if applicable): The participant burden is low and is divided into an intake session and two research sessions. The MRI scan is non-invasive, and subjects can indicate that they want to stop the scan at any time during the scan by squeezing a type of balloon that will lie next to the subject in the case that they feel uncomfortable or for any other reason. Subjects with MRI contraindications (e.g. claustrophobia, pregnancy or implants not suitable for MRI) are already excluded in advance and will therefore not participate in the study at all. Mostly, the subjects will lie still during the scan, except for one affective task in which they will be asked to match different emotional faces for about 5 minutes.The cognitive tests will only consist of memory, reaction speed, attention, and processing speed tasks which in total, do not last more than 30 minutes. The risks of the MRI scanner (CE-marked) are minimal.

Investigators are conducting this double-blind, randomized control trial (RCT), to compare inhaled N2O+ treatment as usual (TAU) versus inhaled placebo+TAU; demonstrating the feasibility and tolerability of the intervention in an emergency department (ED) setting on an acutely suicidal population.

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.

Despite its successful use for more than 80 years, the mechanisms of action of electroconvulsive therapy (ECT) are still not fully understood. ECT has been shown to be accompanied by changes in regional brain volumes and connectivity measures, as well as biochemical alterations. However, how these changes relate to ECT response remains to be further elucidated; up to now, there are no objective markers for the targeted use of ECT in clinical practice. Methods: Study design: longitudinal mono-centre study with duration of 36 months. Subjects: 30 depressed patients (aged 18-65 years) eligible for ECT. Measurements: subjects will undergo 2 3-Tesla MRI scans (one before and one after a course of ECT), including structural MRI, resting-state functional MRI, task-based functional MRI and MR spectroscopy. Blood, CSF sampling and clinical assessments will be performed once before and once after the ECT course. ECT: Each patient will be treated in a min. of 8 bitemporal ECT sessions (~4 weeks). Data analysis: Longitudinal changes in brain imaging parameters and laboratory measures (before/after ECT) will be assessed using repeated-measures analysis of covariance. Machine learning with random forests will be employed to identify a pattern of pretreatment imaging, biochemical (serum and CSF) and clinical parameters that are best qualified to predict response to ECT as defined by a reduction of ≥50% of baseline HAMD17. Hypotheses: 1. ECT will be accompanied by changes in brain morphology, functional connectivity, neuronal activation in response to cognitive and reward-related stimuli and neurochemical signals in the brain. 2. ECT leads to changes in blood- and CSF-based markers of neuronal plasticity, neurodegeneration and inflammation, as well as genetic/epigenetic markers. 3. Predictive markers of ECT response can be established based on the relationships between imaging, neurochemical and clinical markers and treatment response. Innovation: This study would be the first to combine multimodal MRI measures with the assessment of biomarkers in the CSF in the context of ECT. The implementation of the proposed trial represents an important step towards a better understanding of the powerful antidepressant properties of ECT. By relating treatment effects and potentially underlying biological mechanisms on numerous complementary levels, the study might help to identify biomarkers that distinguish patients who are likely to benefit from ECT from non-responders. Ultimately, results of the study might be useful in order to establish an individualized medical indication for ECT.