View clinical trials related to Major Depressive Disorder.
Filter by:The goal of this neuroimaging clinical trial is to test whether psilocybin produces significant immediate changes in functional brain activity in networks associated with mood regulation and depression compared to placebo in patients with depression. The trial aims to determine if psilocybin: 1. Changes connectivity within brain networks associated with mood and depression 2. Changes blood flow in brain regions associated with mood and depression Participants will be attend two treatment sessions where they receive an oral medication and supportive psychotherapy. At each session, participants will undergo an MRI scan after drug administration but prior to psychotherapy. Participants will be randomly to assigned to one of two groups that will receive, 1) microcrystalline cellulose (25mg) at the first visit and psilocybin (25mg) at the second visit, or 2) psilocybin (25mg) at both visits, respectively. Differences between groups will be compared to understand what effects on brain activity are specific to psilocybin.
Depressive disorders are among the most common psychiatric disorders. However, this disorder is multifaceted, as are its etiological factors, and is not yet fully understood. Within the framework of the P4D study, 1000 patients with depression will be comprehensively examined. In addition to the recording of psychological factors by means of questionnaires and third-party assessments, imaging and electrophysiological procedures (functional and structural MRI, EEG) are used to assess brain structure and function. In addition, blood is drawn from the subjects to analyze these samples for various biological markers (e.g., genetics). Drug level measurements are also performed. The goal is to perform an in-depth characterization (phenotyping) of individuals with a depressive disorder. These findings could be used to individualize and improve therapy for depressive disorders.
We aim to investigate here whether we can develop a reinforcement learning game which provides game-based feedback to encourage positive actions (behaviors) both inside and outside of the game. Does providing positive reward when participants make decisions which are associated with value-based actions (like those in BA) result in different game decisions? We propose that it will increase positive actions in the game. And, secondly, how does it affect short-term behavior (in one week)? We propose that it will increase pro-health activities and may reduce depressive symptoms.
This study aims to better adapt cognitive behavioral therapy for insomnia (CBTi) for people with comorbid depression by using objective sleep measures to tailor the behavioral interventions components of CBTi. Using ambulatory monitors, we also aim to investigate changes in brain activity and heart rate throughout the intervention. In this parallel-group randomized clinical trial, participants undergo one week of baseline ambulatory monitoring after which they are randomly assigned to one of two intervention arms: 1) digitally delivered CBTi (eCBTi) based on standard subjective sleep measures (sleep diary), or 2) eCBTi based on objective sleep measures (EEG headband). The intervention spans over 5-weeks, followed by a week of ambulatory monitoring and follow-up measures one week and one month after the end of the intervention. The study also includes a post-intervention interview to gather feedback on participant experiences. The overall protocol includes online questionnaires and structured clinical interviews assessing sleep, insomnia, and mental health, as well as treatment-related measures before, during, and after the intervention. It is anticipated that eCBTi using objective sleep measures will lead to better treatment acceptability, satisfaction, and effectiveness, including greater improvements in symptoms of insomnia and depression. It is also anticipated that sleep EEG and heart rate profiles will improve along the course of eCBTi.
Major depressive disorder (MDD) is a mental disorder leading to a variety of emotional and physical problems affecting almost 300 million people worldwide. Long-term treatments for MDD, including medication and therapy, imposes a significant financial burden on society. Mobile-based screening interventions might be a promising approach for effectively reducing MDD symptoms. The investigators hypothesize that the mobile-based screening strategy evaluated in this proposal will substantially reduce the burden of MDD over time, increase participants' quality of life, and decrease MDD-related disparities
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress. Psychiatrists, and even more so general practitioners, need measurement tools that enable them to remotely monitor their patients' psychological state of health, and to be automatically alerted in the event of a break in behavior. In this study, the investigators propose to collect clinical data along with longitudinal measurement of patients' emotions. Emobot proposes to analyze the evolution of mood disorders over time by passively studying people's emotional behavior. The aim of EMOACQ-1 is to acquire knowledge and produce a quantitative link between emotional expression and mood disorders, ultimately facilitating the understanding and management of these disorders. Through this study, could be developed a technological solution to support healthcare professionals and patients in psychiatry, a field known as the "poor relation of medicine" and lacking in resources. Such a solution would enable better understanding, disorders remote & continuous monitoring and, ultimately, better treatment of these disorders. The investigators will process the data by carrying out a number of analyses, including descriptive, comparative and correlation studies of the data from the self-questionnaire results and the emotional signals captured by the devices. Finally, the aim will be to predict questionnaire scores from the emotional signals produced.
The investigators aim to explore the efficacy and safety of rTMS therapies with different intervals between sessions for treating patients with moderate to severe depression.
This study is a retrospective database study in Japan to evaluate the relative risk of serious intracranial hemorrhage requiring hospitalization between Vortioxetine tablet treatment and selective serotonin reuptake inhibitor (SSRI) treatment for patients with depression. This survey will conduct in use of medical database called JMDC claims database.
Objectives: Bipolar disorder (BD) is a chronic and recurrent mental illness characterized by depressive episodes and manic or hypomanic episodes, leading to severe functional impairment and cognitive damage. Unfortunately, it is difficult to accurately distinguish between major depressive disorder (MDD) and BD in the early stages, resulting in misdiagnosis and mistreatment. According to statistics, only 20% of BD patients with initial depressive symptoms receive a correct diagnosis within the first year of onset, with an average delay of 5-10 years from onset to final diagnosis. BD patients are often treated with antidepressant medication systematically due to being diagnosed with MDD, affecting the disease course and clinical outcomes. The current study aims to explore the role of peripheral exosomes as biomarker to distinguish BD from MDD in early stage. Methods: The study includes two stages: the first stage is a case-control study, comparing the concentrations of peripheral blood exosome metabolites (microRNA and related proteins) among three groups (BD patients, MDD patients, and healthy controls, n=30 per group) to identify target microRNA and proteins with statistically significant differences. The "latent class analysis (LCA)" on target microRNA and protein will be performed on all samples to observe whether it can effectively distinguish bipolar disorder, depressive episode, and healthy participants. Then, based on the LCA analysis results, "receiver operating characteristic (ROC)" analysis will be conducted to further determine the optimal concentration cut-off value for each indicator and ultimately determine the target biomarkers. The second stage is a clinical validation study in which subjects, who come from an on-going trial and initiated with a depressive episode and were followed up for five years at least, are divided into two groups (MDD group and BD group, n=20 respectively) based on whether they have hypomanic/manic episodes currently or previously, according to the DSM-5 diagnosed with SCID-5. All target biomarkers will be test in peripheral blood samples reserved at the initial stage to detect whether the diagnosis indicated by the biomarkers is consistent with diagnosis by DSM-5. As well as the accuracy of predicting diagnosis, the correlation between specific biomarkers and treatment response, clinical outcome, and adverse reactions will also be observed. Discussion: It is difficult to explore central nervous system diseases through the peripheral system in the context of the blood-brain barrier. However, exosomes can freely pass through the blood-brain barrier and serve as a good medium for connecting the peripheral system and the central nervous system. This study aims to explore plasma exosome microRNAs and related proteins as biological markers for early diagnosis of bipolar disorder, for example, which microRNAs or proteins are presented in the BD patient group, or what concentrations of microRNAs or proteins are significantly different between the BD patients and MDD patients. Improving the early diagnosis of BD would help develop appropriate clinical intervention strategy, improve the quality of disease management, and significantly reduce the burden of disease. At the same time, this study is also hope to provide a theoretical basis for exploring the pathogenesis of bipolar disorder.
The goal of this randomized controlled trial is to evaluate the potential of a customized digital cognitive training intervention to target aspects of brain function in apathy of late-life depression and reduce symptoms of apathy and related cognitive and behavioral deficits. The investigators hypothesize that 4 weeks of a customized digital cognitive training program will lead to changes in brain connectivity, apathy severity, and cognitive control performance.