View clinical trials related to Depressive Disorder, Major.
Filter by:The purpose of this study is to determine whether gamma-Hydroxybutyrate (GHB) has prosocial and prosexual effects in healthy male participants, and to characterize these putative effects via behavioral tests, functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and neuroendocrine parameters. The investigators predict that GHB in fact has prosocial and prosexual effects which can be neurobiologically characterized using the assessed methods. Such effects would be of high interest for the treatment of mental disorders which involve impairments of social interaction and sexual function such as major depression or autism.
The purpose of this study is to determine whether auricular acupuncture (AA) according to the NADA protocol and progressive muscle relaxation (PMR) differ in their effectiveness of treating people with anxiety disorders or major depressive disorder. We hypothesized, that both treatments show significant effects in alleviating the examined items (tension, anxiety, anger/aggression and state ofr mood) and that there is no significant difference between these two treatments.
Investigating the effects of non-invasive transcranial alternating current stimulation (tACS) on patients with Major Depressive Disorder (MDD).
Few studies targeting obesity in serious mental illness have reported clinically significant risk reduction, and non have been replicated in community settings or demonstrated sustained outcomes after intervention withdrawal. The researchers sought to replicate positive health outcomes demonstrated in a previous randomized effectiveness study of the In SHAPE program across urban community mental health organizations serving an ethnically diverse population.
The purpose of the study is to describe the association/correlation between change in patient-reported cognitive symptoms and work productivity in gainfully employed patients receiving vortioxetine for a Major Depressive Episode (MDE).
It can be difficult to achieve remission in individuals with late-life depression (LLD) and they often require aggressive treatment. This challenge is in part due to age-related vascular changes that are common in LLD. Successful antidepressant treatment involve changes across affective, cognitive, and default mode networks. We hypothesize that in LLD, vascular disease adversely affects response to antidepressants by disrupting connectivity of these networks. The primary goal of this project is to characterize how focal vascular damage affects regional connectivity and response to antidepressants. Based on past work and pilot data, we a priori focus on the cingulum bundle and uncinate fasciculus. These key fiber bundles connect frontal, temporal, and cingulate regions involved in cognition and affective responses. Our central hypothesis is that ischemic damage to the cingulum bundle and uncinate fasciculus contributes to structural and functional connectivity deficits of those tracts. This results in a disconnection effect that alters the function of connected regions. In turn, this increases the risk of a poor response to antidepressants. Our approach is to enroll up to 130 adults over age 60 years with a diagnosis of Major Depressive Disorder. Subjects will complete clinical evaluation, cognitive testing, and MRI/functional MRI (fMRI) sessions, including an fMRI emotional oddball task that includes attentional and affective components. Participants will be stratified by cerebral lesion severity and randomized in a 2:1 ratio to a double-blinded 8-week trial of escitalopram or matching placebo. Those who do not remit will transition to an 8-week trial of open-label bupropion, an antidepressant with a different mechanism of action. This will allow us to determine if different and distinct circuit deficits affect response to antidepressants with different mechanisms of action while also accounting for the placebo response.
The purpose of this study is to test the effects of a computerized approach/avoidance training (AAT) procedure on behavioral, affective, and brain mechanisms that are important for reward sensitivity and well-being in individuals diagnosed with major depression. The training procedure is designed to modify automatic approach responses for positive social stimuli. The primary aim is to determine the effects of approach/avoidance training on the functioning of brain systems during reward processing in individuals diagnosed with major depression. A secondary aim will determine whether brain activation patterns following approach/avoidance training predict subsequent affective and behavioral responses during reward processing. An exploratory aim will test whether completing the approach/avoidance training procedure in combination with a brief computer-delivered behavioral activation program for depression will produce larger changes in depression symptoms, positive emotions, and social relationship functioning from pre- to post-intervention compared to the control training procedure.
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.
The purpose of this study is to evaluate the feasibility of developing a microbiome probe of depression and to evaluate the microbiome change in a preliminary analysis of treatment response (n=20) vs. non response (n=20) to the antidepressant citalopram. This study is a 12 week open trial that will enroll approximately 80 participants (anticipated 40 study completers with paired biomarker data) with an episode of major depression, Bipolar I or Bipolar II and 40 age- and sex-matched healthy controls.
Lohja Depression Treatment Study is a randomized treatment trial which compares three approaches for treatment of depression:1) Interpersonal Psychotherapy (IPT), 2) Psychoeducational Group Treatment ( PeGT) and 3) Treatment as Usual (TAU). This Trial aims to test and adapt known short term treatment models for Finnish patients and circumstances.