View clinical trials related to Major Depressive Disorder.
Filter by:All subjects completing the randomized treatment period in Protocol NS2014-1 will discontinue study drug and be asked to provide consent to be followed in this 6-month study, at their final safety visit. The study will consist of an enrollment visit, followed by bi-monthly in-clinic visits with monthly telephone visits between in-clinic visits.
Major depressive disorder (MDD) is a common, recurrent, and frequent chronic disorder. Among others, deficient cognitive control over emotional distraction is a central characteristic of MDD (Ochsner & Gross 2005; Disner et al. 2011; Beck 2008). Hypoactivation of the dorsolateral prefrontal cortex (DLPFC) has been linked with this deficit (Dolcos & McCarthy 2006). Moreover, aberrant functional connectivity patterns have been found in MDD patients (Kaiser et al. 2015). Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation method that has been largely investigated in experimental neurosciences and tDCS of the prefrontal cortex (PFC) has been proposed as novel treatment in MDD. In addition, it is increasingly investigated as treatment for negative symptoms in schizophrenia (SCZ) (Brunelin et al. 2012). So far, prefrontal tDCS has been shown to enhance cognitive control over emotional distraction in MDD patients (Wokenstein & Plewnia 2013). Also, tDCS-induced connectivity changes found in fMRI studies comparing resting-state networks configurations before and after prefrontal tDCS may reflect a state of enhanced alertness (Keeser, Meindl, et al., 2011; Park et al., 2013). The aim of this study is to investigate the neurophysiological correlates of tDCS effects in patients with different psychiatric disorders for which tDCS is a possible intervention, in particular MDD and SCZ, as compared to healthy individuals. For this purpose, we determine the most promising protocol in from investigations in healthy volunteers and apply this protocol in the patient sample including age- and gender-matched controls. First, functional magnetic resonance imaging (fMRI) data is collected during the execution of a cognitive control task as well as during a resting-state condition together with application of real or sham tDCS inside the scanner. It is hypothesized that prefrontal tDCS as compared to sham a) reduces distractibility by compensating for deficient DLPFC activity and b) enhances functional connectivity in networks associated with externally directed attention or cognitive engagement. Second, magnetic resonance spectroscopy (MRS) is performed to measure concentrations of GABA and glutamate in target regions of tDCS. It is hypothesized that tDCS effects are mediated via modulation of the inhibitory/excitatory systems and GABA and glutamate are used as markers of these systems. In this placebo-controlled study healthy volunteers and patients with a diagnosis of MDD or SCZ receive a single treatment with prefrontal tDCS (anode over electrode position F3, cathode over F4, 20 min, 2mA intensity) or sham tDCS (frequency and duration correspondent active tDCS, ramp in and ramp out periods only without intermittent stimulation). We conduct resting-state and MRS measurements combined with application of tDCS in the fMRI scanner. Subsequently, participants perform the cognitive control task (in dependence of Plewnia, C., Schroeder, P. A., & Wolkenstein, L. (2015)) in the scanner. The participants are assigned to either the real or sham tDCS condition according to a randomised, double-blind parallel design.
Depression with ongoing insomnia is a common clinical presentation with patients. Clinical data suggests that patients with insomnia that receive concomitant treatment with a sleep aid experience a more robust antidepressant response along with a quicker response. The purpose of this clinical study is to compare the effectiveness of the FDA-approved insomnia medication suvorexant, also known as Belsomra®, as add-on treatment to an antidepressant to that of placebo plus antidepressant treatment in patients with depression and residual or ongoing insomnia.
Recent reports have shown that alcohol misuse is a particularly serious problem among the 18 to 25 year old age group. Previous medication trials with SSRI antidepressants among young adults with co-occurring depressive disorders, including our own recent trials with SSRI medications, have produced disappointing results, especially for decreasing the level of alcohol consumption. Mirtazapine is a non-SSRI medication with a unique structure and mechanism of action. Recent study results suggest that mirtazapine is more effective than other antidepressants for treating non-comorbid depression. A few recent studies with mirtazapine have been conducted among subjects with comorbid AUD/MDD, and those studies have demonstrated efficacy for mirtazapine for decreasing the depressive symptoms and the alcohol craving of subjects with comorbid AUD/MDD. However, those studies did not measure level of alcohol consumption, so it is unclear whether mirtazapine decreases the level of alcohol use of that comorbid population. The results of our own very recent open label pilot study suggest robust within-group efficacy for mirtazapine for decreasing both the level of alcohol use and the depressive symptoms of comorbid subjects. However, that pilot study did not include a placebo control group, so the efficacy of mirtazapine versus placebo for decreasing the level of alcohol use among persons with comorbid AUD/MDD remains unclear. This grant submission proposes to conduct a first double-blind, placebo-controlled pilot study to provide a preliminary assessment of the efficacy of mirtazapine versus placebo for decreasing both the alcohol use and depressive symptoms of young adults with comorbid AUD/MDD. If results (effect sizes) from the proposed study are found to be promising concerning outcome differences between the mirtazapine and placebo groups, then we will use those findings to apply for an R01 study to definitively assess the efficacy of mirtazapine for treating young adults with AUD/MDD.
The WHO, the Pan American Health Organization, the EU Council of Ministers, the World Federation of Mental Health, and the UK Royal College of Psychiatrists all agree -"there can be no health without mental health". Within Canada, 6.7M people live with a mental illness and when family and caregivers are included almost everyone is affected. A systematic review (2014) concluded that physical activity has a significant potential for reducing depressive symptoms in people with a mental illness. Globally, physical inactivity is "pandemic". Current guidelines recommend a minimum of only a 150 minutes a week of moderately vigorous exercise but 85% of Canadians do not meet the national recommendations. How then can people with depression be motivated to become physically more active? Group Medical Visits (GMVs) can be used to provide health services and they have proven effective in some settings, including mood disorders. As well as providing economic and resource efficiencies, the GMV model has the potential to add a 'support group/accountability' element for behavioural interventions such as physical activity promotion; such influence is not present in an individual patient-physician consultation. "Jump Step" is a 14-week program within a GMV setting designed to motivate and support people with depression to engage in regular physical activity. The investigators seek to design, implement, and evaluate the effectiveness of the Group Medical Visits focused on promoting physical activity for patients with depression.
number of center : 1 - duration of study : 24 months - recruitement time : 23 months - Aim :Principal Evaluate the interest of maintenance rTMS in a one-year double blind randomized controlled study for TRD patients. Secondary Evaluate the impact of rTMS on cognitive functions.
The aim of the present study is to compare an intervention consisting of Family Psychoeducation (FPE) to an active control intervention of social support for relatives of patients with a diagnosis of major depression.
Despite significant advances in pharmacological treatment, the global burden of depression is increasing worldwide. The major challenge in antidepressant treatment is the clinicians' inability to predict the variability in individual response to the treatment. The development of biomarkers to predict treatment outcomes would enable clinician to find the right medication for a particular patient at the early stage of the treatment and thus could reduce prolonged suffering and ineffective protracted treatment. Brain imaging studies that examined brain predictors of treatment response based on group comparisons have limited value in classifying individuals as responders or non-responders. Machine learning classification techniques such as the support vector machine (SVM) method have proven useful in the classification of individual brain image observations into distinct groups or classes. However, studies that have applied the SVM method to structural and functional magnetic resonance scans (fMRI) involved small sample sizes and were confounded by placebo responses. Furthermore, a recent meta-analysis of clinical trials and EEG studies have shown that early clinical responses and brain changes at the early phase of antidepressant treatment may predict later clinical outcomes suggesting that neural markers measured in the early phase of antidepressant treatment may improve predictive accuracy. However, there is no fMRI study to date that has examined the predictive accuracy of data obtained in early phase of the treatment. We have preliminary fMRI data relating to early treatment response that form the basis of this proposed study. The main objective of this study is to use machine learning method to examine the predictive value (sensitivity, specificity, accuracy) of resting state and emotional task-related fMRI data collected at pre-treatment baseline (week 0) and in the early phase of antidepressant treatment (week 2) in the classification of remitters (< 10 MADRS scores after 12 weeks of treatment) and non-remitters in patients with major depressive disorder (MDD). A secondary objective is to determine which data set (week 0 or week 2) gives the best predictive value.
Investigators are doing this study to examine if a new personalized education program for patients with mood disorders (depression and bipolar disorders) will help them take their medications as prescribed by doctors. Investigators will teach patients about how, when and why it is important for them to take their medications as prescribed. Also, investigators will ask patients why they do not take medications as prescribed. Furthermore, investigators will examine whether our education program might save money if it prevents problems related to not taking medication.
The objective of this project is to assess the occurrence of early improvement within the first two weeks of antidepressant treatment and to correlate this improvement with favorable therapeutic outcome at the end of the acute and treatment continuation phases (8 and 24 weeks, respectively).