View clinical trials related to Major Depressive Disorder.
Filter by:The purpose of this study is to determine the safety and feasibility of sequencing psilocybin therapy with a short-duration, aiTBS protocol (Stanford Accelerated Intelligent Neuromodulation Therapy, or SAINT) in individuals with treatment-resistant major depressive disorder.
Globally, it's estimated that around 300 million people are affected by depressive illness, and even with access to modern mental health care, long-term recovery is uncommon. Recently, there has been increasing interest in a promising intervention: the ketogenic diet. This diet restricts carbohydrate intake, promoting the breakdown of fats into circulating ketone bodies, which can act as an additional energy source for the brain, potentially reducing its reliance on glucose. While various sources of evidence suggest the potential benefits of the ketogenic diet for individuals with depression, robust clinical studies on its efficacy in depressed patients are lacking. Our goal is to conduct an eight-week, assessor-blinded, randomized controlled trial to investigate the therapeutic effects of a very low-carbohydrate, high-fat ketogenic diet compared to an active comparator diet in individuals with depression.
The R33 will be a randomized controlled trial to replicate changes in the targets (unproductive processing, avoidance, reward deficits) from the R61 phase in a larger sample of 135 participants who have experienced a destabilizing life event involving profound loss or threat, report persistent stressor-related symptoms of PTSD and/or depression, and are elevated on symptoms related to 2 of the 3 therapeutic targets. Additionally, this study will examine Positive Processes and Transition to Health (PATH)'s impact on stressor-related psychopathology in comparison to Progressive Muscle Relaxation (PMR). In the R33 phase, the investigators will examine changes in target mechanisms predicting improvements in PTSD and depressive symptoms, as well as feasibility and acceptability. Patients will receive 6 sessions of PATH or PMR (with 2 boosters, if partial responders). Primary targets will be assessed at pre-treatment, week 3, post-treatment, and at 1- and 3-month follow-up; secondary targets at pre-treatment, weekly during treatment, post-treatment, and at 1- and 3-month follow-ups.
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.
Over 28 million people suffer from current depressive disorder in the European Union. Major depressive disorder (MDD) is one of the most common psychiatric illnesses. The symptoms cause clinically significant distress or impairment in social, occupational, and other important areas of functioning. To treat MDD, there are several antidepressants available and prescribing medication is a process of trial-and-error. Guidelines do not explicitly advise on the order in which antidepressant medication should be prescribed. The choice of antidepressant should be tailored to the patient, while involving the patient in the decision-making process. In general, the choice for the first- and second-line treatment will be a second-generation antidepressant. Recently, esketamine nasal spray (intranasal (IN) administration) was approved for patients with treatment-resistant MDD (TRD). A patient is diagnosed with TRD when having used two antidepressants in sufficient duration and adequate dose without sufficient effect. TRD is associated with a negative impact on quality of life, higher risk for hospitalisations and suicide, comorbidities, poorer social and occupational functioning and a high carer burden. The efficacy of intranasal use of esketamine has been demonstrated in MDD subjects with treatment-resistant symptoms but also in subjects with non-treatment resistant depression, and is approved by the FDA and EMA as a third-line treatment. Besides the registered esketamine nasal spray, which is not available in all countries to all patients because of the high costs, off-label utilization of (es)ketamine infusions (IV) is growing extensively over time to treat TRD. Research conducted so far indicates an unequivocal initial substantial response to (es)ketamine IV in MDD populations, regardless of whether or not patients suffer from treatment resistant MDD. However, until now, there has not been a study investigating this in a sufficiently large population. This may be a unique opportunity to potentially prevent patients progressing into a treatment resistant illness stage. The potential implications of the results of the current study are the prevention of unnecessary trials of ineffective treatments, reducing subject burden substantially, as well as a reduction of healthcare and societal costs.