View clinical trials related to Bipolar Disorder.
Filter by:Bipolar disorder is a mental disease characterized by mood dysregulation and arises from manic, depressive or mixed episodes. The observations of the patient's speech and language behaviour due to flight of ideas or loss of goal probably result from an underlying disturbance in semantic networks dealing with semantic associations. The aim of our study will be to have a better comprehension of thought disorders in bipolar disorder by cognitive exploration of semantic processing.
Prevalence of somatic comorbidities in psychiatric patients hospitalized in Psychiatric hospital or treated ambulatory or in daily hospital. Comparison of prevalence of somatic comorbidities in psychiatric patients population and the general Croatian population.
The purpose of this study is to better understand the relationship between bipolar disorder, body weight, and inflammation in the body (N=180). People with bipolar depression (N = 50)will be offered a place in a pilot study looking to see if the antibiotic minocycline added to current psychiatric medications has an effect on mood. A separate consent form will be provided for the pilot study. Numerous studies have documented the presence of altered immune function and elevation of inflammatory markers in patients with depression. Studies suggest that major depression is accompanied by immune dysregulation and activation of the inflammatory response system. While a small number of studies have found elevated inflammatory markers in bipolar mania, very little has been reported about inflammation in bipolar depression, and none of these studies have addressed the relationship of inflammatory markers with obesity in bipolar disorder.
monitoring system and data base for long term follow up of various treatment strategies in a naturalistic setting of recurrent affective disorders (unipolar, bipolar) open study design, prospective & retrospective
Washington University Early Recognition Center is conducting a research study to examine brain functional connectivity and network patterns in participants with bipolar disorder and schizophrenia.
This purpose of the study is to develop and test a new website to help people who have bipolar disorder quit smoking.
The purpose of this study is to validate a set of signatures, based on a panel of proteomic markers, that discriminate BDI, BDII, and MDD in people seeking treatment for a depressive episode.
The purpose of this study is to determine if a mobile sensing platform can passively and objectively detect the presence of clinically significant mood disorder symptomatology and symptom progression over time. Meeting this goal will allow for improved risk categorization, prediction of relapse, and measurement of disease progression in a lifetime prevalence population.
The primary study aims are to determine the clinical, behavioural and social predictors of SMI development in youth, and to investigate whether neuroimaging can distinguish youth who will develop SMI from those who will not. The study's secondary aims are to examine the proportions of the cohort that make transitions between the different clinical stages of risk, and to determine the proportions that have poor outcomes, defined as ongoing or increased symptoms, secondary substance misuse, poor social or role functioning, i.e., non-participation in education, or employment, and new self-harm. Investigators will study a cohort of 240 youth (aged 14-25, male and female) that includes youth with early mood symptoms or sub-threshold psychotic symptoms (symptomatic group; n=160), youth at risk due to a family history of a SMI (family high risk (FHR); n=40), and healthy controls (HC; n=40). From this cohort, clinical, social and cognitive data, as well as imaging data will be gathered to create a multi-layered "snapshot" of these individuals and provide full-level characterization. Investigators will use the full range of clinical and imaging data generated from this cohort to develop novel prediction algorithms incorporating key variables that predict the development of SMI.
Background: Community Health Centers care for over 20 million rural, low income and minority Americans every year. Patients often have complex mental health problems such as Posttraumatic Stress Disorder (PTSD) and Bipolar Disorder. However, Community Health Centers located in rural areas face substantial challenges to managing these patients due to lack of onsite mental health specialists, stigma and poor geographic access to specialty mental health services in the community. As a consequence, many rural primary care providers feel obligated, yet unprepared, to manage these disorders, and many patients receive inadequate treatment and continue to struggle with their symptoms. While integrated care models and telepsychiatry referral models are both promising approaches to managing patients with complex mental health problems in rural primary care settings, there have been no studies comparing which approach is more effective for which types of patients. Objectives: The central question examined by this study is whether it is better for offsite mental health specialists to support primary care providers' treatment of patients with PTSD and Bipolar Disorder through an integrated care model or to use telemedicine technology to facilitate referrals to offsite mental health specialists. We hypothesize that patients randomized to integrated care will have better outcomes than patients randomized to referral care. Methods: 1,000 primary care patients screening positive for PTSD or Bipolar Disorder will be recruited from Community Health Centers in three states (Arkansas, Michigan and Washington) and randomized to the integrated care model or the referral model. Patient Outcomes: Telephone surveys will be administered to patients at enrollment and at 6 and 12 month follow-ups. Telephone surveys will measure access to care, therapeutic alliance with providers, patient-centeredness, patient activation, satisfaction with care, appointment attendance, medication adherence, self-reported clinical symptoms, medication side-effects, health related quality of life, and progress towards life goals. A sub-sample of patients will be invited to participate in qualitative interviews to describe their treatment experience using their own words. Likewise, primary care providers will be invited to participate in qualitative interviews to voice their perspective.