Active clinical trials for "Depression"

As a result of the cancer diagnosis and medical therapies, women with breast cancer often encounter debilitating cooccurring psychological and physical symptoms. While pain constitutes one of the most common adverse physical side effects of medical treatment reported by breast cancer patients, the most prevalent psychological symptom they seek psychological help for is depressive symptoms. Acceptance and Commitment Therapy (ACT) in psychosocial oncology care may be particularly beneficial in targeting depression and cancer-related pain. The aim of the I-CAN-ACT project is to examine in a RCT the efficacy of a brief ACT-based intervention for both depression and physical pain (6 online sessions) compared to a waitlist control on various outcomes in women with breast cancer. Outcomes will include quality of life, physical pain intensity and interference, depression, and anxiety in women with breast cancer. These will be assessed at post-treatment and at the 1-month, 3-month, 6-month and 1 year follow-ups (for Marianna Zacharia's PhD thesis, results will be presented until the 3-month follow-up). Also, the Acceptability and Feasibility of the intervention will be assessed. That is, participants' treatment acceptability and adherence to the brief ACT intervention in terms of retention, treatment engagement and satisfaction with each session and with the overall treatment will be assessed. Participants' reasons for dropout will be recorded.

Nearly half of women develop insomnia during pregnancy, which is associated with increased risk for developing perinatal depression. The purpose of this research is to evaluate the implementability and effectiveness of a mindfulness-based therapy for insomnia relative to cognitive-behavioral therapy for insomnia in pregnant women with insomnia and comorbid depression. The investigators aim to examine whether a mindfulness-based intervention effectiveness reduces symptoms of insomnia and comorbid depression.

The heterogeneity of depression suggests that several different neurocircuits and pathophysiological mechanisms are involved. Anhedonia - the inability to experience pleasure from, or the lack of motivation to carry out, usually enjoyable activities - is a promising endophenotype within the depression spectrum, with a distinct pathophysiology involving dopaminergic mesolimbic projections. Anhedonia is common in depression and associated with treatment resistance. Pramipexole, an agonist to the dopamine -receptor 3, is an established treatment of Parkinson's disease. Based on its mechanism of action, pramipexole might be efficacious in a subtype of depression characterized by anhedonia and lack of motivation - symptoms linked to dopaminergic hypofunction. This is supported by animal data, clinical experience, and recent pilot study data, but randomized controlled trials (RCTs) are lacking. In this double-blind placebo-controlled RCT the anti-anhedonic and antidepressant effects of add-on pramipexole will be tested, using an "enriched population study design" including only depressed patients with significant anhedonia. To better understand the neurobiology of anhedonia in depression and to identify treatment predictors, simultaneous assessments of anhedonia-related neurocircuitry using (f)MRI will be done, and anhedonia-related biomarkers in blood and cerebrospinal fluid analyzed. The aim of the study is to confirm the efficacy of pramipexole in this depression subtype, which would be an important step towards personalized medicine in psychiatry.

As the role of (neuro)inflammation in depression is emerging, augmentation of antidepressant treatments with anti-inflammatory drugs such as celecoxib has shown encouraging preliminary results. However, inflammation is not present in all depressed patients. Depression is heterogeneous: patients express diverse and sometimes opposing symptoms and biological profiles. The investigators of the present trial recently introduced the concept of ImmunoMetabolic Depression (IMD), characterized by the clustering of inflammatory/metabolic dysregulations and atypical, energy-related symptoms (hyperphagia, weight gain, hypersomnia, fatigue and leaden paralysis), and present in approximately 30% of cases. Converging evidence suggests that in this subgroup of depression cases, inflammation may exert a crucial pathobiological mechanism, representing therefore an actionable therapeutic target. In this trial IMD will be applied as a tool to personalize treatment, by matching depressed subjects with IMD with a targeted anti-inflammatory add-on treatment. In this study, 140 persons with IMD will be selected. In this specific group of patients, the investigators will test whether celecoxib add-on (400 mg/d) is more effective than placebo in the treatment of depression through a 12-week double-blind, randomized (1:1), placebo-controlled trial. By selecting specifically depressed patients with IMD, the proposed treatment selectively targets key inflammatory pathophysiological pathways to enhance clinical outcome for depression. This personalized approach is expected to lead to large health gains for a sizable proportion of patients. The main hypothesis is that the group of patients with IMD receiving TAU + celecoxib, as compared to the TAU + placebo, will show a better symptom course over the 12-week follow-up.

We plan to study the reach, effectiveness, adoption, implementation, and maintenance of the virtually-delivered Sudarshan Kriya Yoga (v-SKY) intervention. We will study effectiveness by comparing the effects of v-SKY to a waitlist control in a randomized controlled trial (RCT) with Canadian military and RCMP veterans with PTSD. Effects of the intervention on PTSD symptom severity, depression, pain, anxiety, and quality of life will be evaluated. We will evaluate the reach, adoption, implementation, and maintenance of the v-SKY intervention amongst veterans, SKY instructors, health professionals, and administrators by interviewing RCT participants, instructors, health professionals, and administrators that work with veterans. Evaluating implementation of a virtual intervention is relevant in both pandemic and post-pandemic contexts where virtual interventions may continue to be more available and possibly preferred by patients and clients.

Digital mental health interventions are a cost-effective and efficient approach to expanding the accessibility and impact of psychological treatments; however, little guidance exists for selecting the most effective program for a given individual. In the proposed study, decision rules will develop for selecting the digital program that is most likely to be the optimal intervention for each user. These treatment recommendations can be implemented in the context of large healthcare delivery systems to improve the delivery of digital mental health interventions at scale. The overarching aim of the current study is to better understand for whom and how leading digital interventions work in a large healthcare setting. The study builds on the existing literature and follows expert recommendations by using machine learning (ML) methods to develop precision treatment rules (PTRs) for three leading digital interventions for emotional disorders (e.g., anxiety, depression, and related mental health disorders). Specifically, ML methods will be used to develop PTRs to optimize clinical outcomes and associated intervention engagement. This study will leverage a unique partnership between Boston University (BU), SilverCloud Health (SC)--a leading provider of digital mental health care--and Kaiser Permanente (KP)--one of America's leading health care providers. A clinical trial (RCT) will be conducted to evaluate the relative effectiveness of three distinct empirically supported digital mental health interventions (from SC's existing library of programs) in a sample recruited from KP primary care and other clinical settings. Data from this trial will be used to develop theoretically and empirically informed, reliable selection algorithms for managing treatment delivery decisions. Algorithms will be validated in a separate "holdout" dataset by examining whether allocation to predicted optimal treatment is associated with superior outcomes compared to allocation to a non-optimal treatment. The role of user engagement will be determined, and other mechanisms in treatment outcome.

This study is a multicenter prospective, parallel design, two-arm, rater-blinded randomized controlled pilot trial. Participants will be randomly assigned to one of two treatment conditions. In the first condition, treatment consists of rTMS sessions combined with Text4Support. The second condition is made up of the treatment as usual (rTMS sessions alone). The recruitment process is scheduled to last 12 months. It will involve active treatment for six weeks and follow-up period observation periods of 1,3, and 6 months for participants in both arms of the study. Participants will be recruited from four different centers for this project. Two centers (the Addiction and Mental Health clinic and the Alberta day hospital) will be from the large, sociodemographic diverse city of Edmonton in Alberta Western Canada. The remaining two centers will be in Halifax and Annapolis Valley in Nova Scotia, Canada.

The purpose of this study is to evaluate the efficacy of NBI-1065845 compared with placebo in participants with MDD on improving symptoms of depression.

The investigators conduct a randomized, double-blind, placebo-controlled study to investigate the effects and tolerability of rice bran extract on depressive symptoms and related biomarkers in mildly to moderately depressed patients for 8 weeks.

The goal of this study is to test whether a single low-dose of IV ketamine given in the emergency department to adolescents with treatment-resistant depression and suicidal ideation can reduce depression symptoms and suicidal thoughts compared to placebo. Participants will complete depression scales at baseline, and 1 hour, 3 hours, 1 day, 3 days, and 7 days after receiving the treatment.