View clinical trials related to Major Depressive Disorder.
Filter by:This study aims to identify a novel enhancement strategy for residual symptoms of major depressive disorder (MDD) Dopamine (DA) has been viewed as a "pleasure neurotransmitter" for over 30 years. Yet recent data from animal and human studies suggest that dopamine has greater effects on "wanting" than on "liking." Therefore, the investigators of this study have hypothesized that amphetamine/d-amphetamine (AMPH), a medication which increases dopamine transmission in the reward centers of the brain, may have a more powerful antidepressant effect in combination with well-being therapy (WBT), a specific type of cognitive-behavioral therapy, which helps individuals with depression to increase their contact with natural rewards and decrease reward-interfering thoughts. The investigators will test their hypothesis by randomizing 40 individuals with residual symptoms of depression, already taking an antidepressant that affects serotonin (e.g. Prozac, Paxil), to 8 weeks of treatment with either WBT in combination with AMPH, or WBT with pill placebo. The effectiveness of each treatment will be measured using a reliable scale, called the Hamilton Depression Rating Scale. The investigators have also hypothesized that people assigned to the stimulant/WBT group will have greater improvements in functioning, well-being, and positive affectivity than those the people assigned to the WBT/placebo group.
Study hypothesis: psychotherapy and SSRI treatment effect in different brain way: psychotherapy in "up to down" way and SSRI in "down to up" way. The investigators will explore this hypothesis in major depressive disorder outpatients with Magnetic Resonance Imaging analysis in this study. Patients in different groups will be treated by psychotherapy or SSRI treatment. They will all be checked with Magnetic Resonance Imaging pro and after 12 weeks of treatment.
Objective There is growing evidence showing a relation between depression, metabolic syndrome, diabetes, cardiovascular disease (1), serum lipid profile (2,3) and body weight (4), as well as the effects of some of the antidepressant medications on these various conditions and profiles. The aim of the study is to examine the influence of antidepressant medications on the metabolic profiles (5) of patients suffering from Major Depressive Disorder (MDD). Group of patients: 30 Patients aged 18-65, who were diagnosed with MDD according to the DSM-IV criteria. Research Design and Methods: Research duration will be 8 weeks. Patients meeting the inclusion criteria will be recruited after being diagnosed with MDD and having undertaken the HDRS. A follow-up HDRS will be taken at weeks 4 and 8. The psychiatric evaluation will be held by a resident in psychiatry. The following metabolic parameters will be examined at base-line and at the end of the 8 weeks: Weight, height, waist circumference, body mass index (BMI: (Weight in Kg/(Height in meters)2), sitting blood pressure (after 3 minutes of sitting). Serum lipid profile (performed in Ziv hospital's chemistry lab): Low density lipoprotein cholesterol, High density Lipoprotein cholesterol, Triglycerides, Total cholesterol, Apolipoprotein level (Apo AI, Apo B, Apo E, Apo AII). Fasting glucose and insulin blood levels, in order to evaluate insulin-release and resistance, according to the following formulas: Insulin Resistance: HOMA IR=Fasting glucose (mg/dL)x Fasting insulin (mmol/L)/405 Insulin Release: HOMA-β={360xfasting insulin (mmol/L)}/{glucose(mg/dL)-63} Serum oxidative stress parameters according to the F2-Isoprostane kit will be measured. Malonylaialdehyde (MDA) content in serum will be analyzed by the thiobarbituric acid reactive substances assay, which measures malondialdehyde equivalent (13). Conjugated dienes will be measured at 234nm (14, 15).
Current methods of choosing treatment for major depressive disorder (MDD) are inefficient. The Strategic Treatment to Achieve Remission of Depression (STAR*D) Trial revealed that only about 1/3 of patients treated with antidepressant drugs will go into remission with the first medication chosen. We hypothesize that pattern recognition software using Machine Learning methods can accurately predict response to a variety of antidepressant medications (ADM) or cognitive behavior therapy (CBT) after training using pre-treatment demographic, clinical, laboratory or electroencephalographic (EEG) data. These algorithms might assist the clinician to chose, for any given patient, an antidepressant treatment option with greater probability of favourable response than is achievable using current best practise methods.
Recently, there are increasing data about intensity dependent amplitude change (IDAP: N100 amplitude slope) of auditory evoked Event Related Potential (ERP) components for its role on surrogate marker of central serotonergic activity. A high N100 amplitude slope reflects low serotonergic neurotransmission and vice versa. There are a couple of studies reporting associations of N1 amplitude slope with response to Citalopram (positive correlation) and Reboxetine (negative correlation) treatment in major depressive disorder patients (2,3). The investigator also published a case series about SSRI super-sensitivity and SSRI induced mania in patients with aberrantly high N100 slope (4). And serotonin transporter gene polymorphism was studied for its role about pathophysiology of bipolar disorder (5, 6, 7). Serotonin promoter gene was known to have significant relationship with N100 amplitude slope (8). Furthermore previous study showed that N100 amplitude slope was well correlated with hypomanic and hyperthymic personality (9). Conclusively from above results, the investigator hypothesized that if depressive patients show aberrant high or low N100 amplitude slope (N100 response outliers), they will not response well to SSRI medication. They will response better to quetiapine XR adjunctive therapy. In this study, the investigator will confirm it by comparing treatment effect between SSRI monotherapy and quetiapine XR adjunctive in aberrant N100 responder. Hypothesis First visit depressive patients might have monopolar or bipolar depression. If depressive patients show aberrantly high or low N100 amplitude slope, they will not response to SSRI medication. Patients who have aberrantly high or low N100 amplitude slope will response better to quetiapine XR adjunctive therapy.
Electroconvulsive therapy (ECT), is considered the most effective treatment for severe treatment resistant major depressive disorder (MDD), but it requires about 3 weeks of treatments and can cause considerable acute deficits in memory. It would be a major advance in treatment if ECT could work faster with fewer treatments and result in decrease incidence of memory problems. Ketamine is an excellent candidate for augmentation of ECT because of its acute effects on depression, its short half-life, and its safety profile when given at low doses. Ketamine is given as an infusion and could easily be incorporated into the routine management of patients undergoing ECT, but has never been evaluated prospectively in this context. The investigators propose to assess the efficacy, feasibility, tolerability and safety of N-methyl-D-aspartate antagonist augmentation of ECT using ketamine.
The purpose of this study is to determine whether an oxytocin ad-on, or oxytocin and tibolone ad-on can induce a response to antidepressants in patients with treatment resistant depression.
The purpose of this study is to establish the clinical effectiveness of antidepressants by pharmacogenomic approach, and to determine the levels of inflammatory factors between the baseline and the end point of the study in Taiwanese major depressive disorder (MDD) patients.
The objective of this study is to investigate the antidepressant efficacy of rTMS, and to assess cortical metabolism before and after rTMS sessions in patients with major depression. We also aimed to investigate differences between the responders and nonresponders to rTMS and what would predict clinical response to rTMS.
Background: According to the WHO, major depressive disorder is the second largest healthcare problem worldwide in terms of disability caused by illness. It afflicts an estimated 17% of individuals during their lifetimes at tremendous costs. A number of depressive patients are treated with antidepressant medication. The efficacy of antidepressant medication has been studied in a number of systematic reviews, and in recent years some of these reviews have shown that the efficacy is questionable for many patients. So are there other effective treatments for this serious illness? Cognitive- and psychodynamic therapies are probably both significantly more effective for depression than no treatment, but only limited comparisons have been made between the two interventions. A Cochrane review shows that cognitive therapy has a preventive effect against recurrent depression, and that this effect may surpass the preventive effect of antidepressant medication. Mindfulness training may be an effective technique in preventing relapse in patients who have had at least 3 previous depressive episodes. But efficacy in treating currently depressed patients has not been studied. Objective To perform a randomised clinical trial with blinded assessment of efficacy variables in order to study the effects of mindfulness based behavioral therapy (cognitive therapy and mindfulness) versus psychodynamic therapy in depressive patients. Methods A randomised clinical trial of 84 consecutive patients diagnosed with major depressive disorder, referred to the day clinic, Roskilde psychiatric services. The patients will be randomised to one of two interventions: 1. MIBT (mindfulness-based behavioural therapy) 2. PT (psychodynamic therapy)