View clinical trials related to Depressive Disorder, Major.
Filter by:The primary purpose of this study is to evaluate the pharmacokinetics and safety of Zuranolone in adolescents (ages 12 to 17 years) with MDD.
Background: Major depressive disorder (MDD) is one of the most impairing medical conditions in the world. Medication and some kinds of talk therapy are standard treatments for teens with MDD, but these do not work well for everyone. Transcranial magnetic stimulation (TMS) has been approved to treat MDD in adults. TMS might help adolescents, too. Objective: To test TMS combined with cognitive behavioral therapy (CBT) in teens with MDD. Eligibility: People aged 13 to 17 years with MDD that has not responded to treatment. Design: Participants will be screened. They will have a physical exam and psychiatric evaluation. They will have an MRI scan and a test of their heart function. They will enroll in 2 NIH protocols (01-M-0254 and 18-M-0037). For 2 to 6 weeks, participants will have weekly CBT, a kind of talk therapy. They will taper off of their psychiatric medicines. For 2 weeks, participants will come to the clinic every weekday. They will receive 3 or 4 sessions of TMS on each of those days. A wire coil will be held on their scalp. A brief electrical current in the coil creates a magnetic pulse that affects brain activity. They will receive 30 TMS pulses in 10-second bursts; these will be repeated 60 times in each 15-minute session. Participants may hear a click and feel a pulling sensation under the coil. They may feel their muscles twitch. Each day, they will have tests of concentration, thinking, and memory. Some may have a 3rd week of TMS. Participants will remain in the study for 5 more weeks. They will begin taking their medications again.
This study looks at the role of the Nociceptin/Orphanin FQ receptor system in the brain of individuals with current or past major depressive disorder (MDD). It also examines how individuals with a history of depression make certain decisions and which brain regions are involved in such decisions. Information collected through MRI, PET, biospecimens (i.e., blood, saliva) and behavioral tasks will be used to predict depressive symptoms in the future.
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.
For patients with treatment-resistant depression (TRD), a single low dose of intravenous (IV) ketamine can help relieve symptoms as quickly as 24 hours later. The main problem with IV ketamine for TRD is that the effect is short-lived, lasting only days to 1 or 2 weeks. Furthermore, IV ketamine is a resource-intensive treatment, and the safety of long-term, repeated use for depression is unknown. To provide this treatment in a safe and cost-effective way, Investigators must allocate it efficiently to those patients who have the greatest need and probability of benefit. Therefore, this project aims to find clinical features (signs, symptoms, and parts of a patient's history) that will help predict which patients are most likely to respond to a single dose of IV ketamine for TRD. This will help guide patient selection and triaging. Investigators will recruit 40 participants with TRD over one year, and randomize them to one of two conditions (ketamine followed by an active placebo 3-weeks later, or vice versa). With clinical data collected through detailed interviews, questionnaires, actigraphy, speech sampling, electroencephalography (EEG), and computerized tasks, this study design will let us evaluate how well such factors predict (A) rapid response at 24-hours, and (B) sustained response at 7 and 14 days.
The BrainDrugs-D study uses multimodal neuroimaging combined with self-report measures, clinical and molecular markers to identify clinically relevant predictors that can identify subtypes of major depressive disorder (MDD) and, in a naturalistic setting, predict treatment response to standard antidepressive treatment. The cohorts are followed in nationwide health registries.
At present, diagnosis and recognition of depression and bipolar disorder are mainly based on subjective evidence such as clinical interview and scale evaluation. The corresponding diagnosis basis has some shortcomings, such as poor diagnostic reliability and failure in early identification of bipolar disorder. Therefore, it is of great significance to explore objective diagnostic indicators to remedy the deficiencies. Therefore，the investigators collect psychological and physiological information data of patients with bipolar disorder and depression.Then the investigators aim to construct and verify the multidimensional emotion recognition model to analyze the personality characteristics, negative emotions and cognitive reactions of different individuals, and form a systematic accurate recognition and evaluation tool.
Major depressive disorder (MDD) is a common mental illness that severely affects the health and quality of life of patients. Treatment with acupuncture alone or a combination of appropriate adjuncts has been reported to be significantly effective in reducing the severity of MDD, relieving patients' somatic symptoms and improving sleep. This study will focus on the intradermal acupuncture, which is more convenient, gentler and has longer lasting effects. The aim is to study the efficacy and safety of intradermal acupuncture for MDD, and to preliminarily explore the central nervous mechanisms by which it exerts its therapeutic effects.
Differentiation between major depressive disorder (MDD) and bipolar disorder (BD) as soon as possible in the patient journey represents a major clinical issue. When the patient is in a depressive phase, the symptoms are similar between the two pathologies and the current clinical scales fail in distinguishing them. Physicians often report this difficulty and as a consequence, the mean time from onset to bipolar disorder diagnosis is currently 7.5 years. These diagnostic delays and misdiagnosis lead to damaging consequences for patients and their loved ones: worsening of symptoms, comorbidities, suicide risk and inadequate care resulting in severe impairment in social and occupational functioning. Faced with these high expectations for accurate diagnostic methods for an earlier management of psychiatric patients, the combination of relevant clinical features and biomarkers could stand for a solution, leading to a personalised approach in patients with mood disorders. In a first clinical discovery study, a panel of RNA biomarkers in the blood of patients with a major depressive episode (MDE) has been identified, allowing to differentiate bipolar disorder from MDD (unipolar depression). These biomarkers are based on RNA modifications, namely RNA editing, that could be identified using molecular biology, NGS and artificial intelligence. This panel constitutes EDIT-B test, which is based on Alcediag's proprietary and patented biomarkers and algorithms. The present study aims to validate the biomarker signatures proposed by Alcediag by measuring the association between the modifications of the RNA editing and major depressive disorder/ bipolar disorder diagnosis, in patients with a MDE in real-life setting pilot centres.
Patients, physicians, and those who fund depression research are keenly interested in depression treatments that do not involve taking medications. One promising candidate treatment is transcranial direct current stimulation (tDCS), a low-cost technique that involves placing electrodes on specific scalp locations and using a 9-volt battery to cause a small amount of electricity to pass through parts of the brain. Depending on the direction of electrical flow, tDCS can make brain cells (neurons) more likely or less likely to generate their own electrical signals. When evaluated as a treatment, tDCS is typically done in daily sessions over a period of two weeks. One of the challenges of tDCS is to work out the best possible positioning of electrodes and direction of electricity flow to gradually cause lasting changes in brain activity in ways that might be expected to improve depression. To address this challenge, the investigators are using MRI to take pictures of the brain during tDCS. This data will help us better understand the short-term effects of tDCS in depression and help us learn how to customize future treatments to cause a lasting beneficial response. Patients with depression between the ages of 20-55 years are eligible to take part in this research. Potential participants will undergo: 1. An assessment to confirm eligibility. This will take place over a secure videoconference call lasting no more than 3 hours. 2. Two in-person study visits lasting 30 min and 2-1/2 hours respectively. In the first visit, the investigators will use the MRI to take a picture of the brain and head structure to determine appropriate locations for placing the tDCS electrodes at the start of the second visit. Following electrode placement, an MRI scan will be performed to take pictures of the brain during tDCS. Depending on the study arm, 1. Participants may receive 'active' or 'sham' tDCS. The 'sham' condition is identical to the 'active' tDCS in every way except that it involves minimal tDCS and is designed to help rule out effects unrelated to the administered tDCS electricity. 2. Participants may also be asked to perform a mental task during MRI. All participants will be compensated $150 + parking upon completion of all study-visits.