View clinical trials related to Psychiatric Disorders Mood.
Filter by: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.
Investigators propose to determine whether knowing details about how a person's genes affect the way medicines work in the brain and body will help doctors pick more effective or safer medicine for that person. Target symptoms are restlessness, agitation, depression and related problems common in people with memory loss and dementia.
An observational study that uses a digital system to collect physiological, physical and behavioral data using worn sensors on psychiatric patients suffering from schizophrenia, bipolar and schizoaffective disorders. The system will enable to analyze the data using a personal digital algorithm in order to detect changes in mental condition and or changes in adherence to medication treatment, and assist in identification of illegal drug usage.