View clinical trials related to Bipolar Disorder.
Filter by:Controlled trial of the efficacy and safety of valproate, versus risperidone in children, ages 3-7 yr. with Bipolar I or II Disorder, mixed, manic or hypomanic episode.
The MoodNetwork, a patient-powered research network (PPRN), is one of 18 PPRNs participating in Patient-Centered Outcomes Research Institute's (PCORI) PCORnet network. Its objective is to improve the nation's capacity to conduct comparative effectiveness research that reflects questions of greatest importance to patients and other stakeholders. A robust data infrastructure will be built that, in phase one, allows participants to contribute data, including those from participant questionnaires, visualize their own health information in intuitive and helpful ways, and share their aggregated de-identified health information within and outside of the Network.
The investigators programme of research will evaluate an existing physical health care screening intervention with the aim of helping Community Psychiatric Nurses (CPN) to improve the physical health wellbeing of people with a SMI. This pilot clustered randomised controlled trial aims to establish the potential efficacy and acceptability of the Chinese Health Improvement Profile (CHIP) in improving the physical health of people with severe mental illness.
This purpose of this study is to adapt, implement and test the ability of a sophisticated point-of-care electronic health record-based clinical decision support that identifies and prioritizes all available evidence-based treatment options to reduce cardiovascular risk in patients with serious mental illness.
The investigators will conduct a small pilot study to test the feasibility and acceptability of treating bipolar disorder (BP) in primary care with online psychotherapy delivered both with and without telephone, text, and email support from a clinical helper (CH). The ultimate goal of this work is to provide preliminary data needed to design a larger scale effectiveness study of online psychotherapy for treating BP in primary care.
Cognitive deficits are a core feature across disparate brain disorders, being highly prevalent and pervasive. Impairments in executive function are one of the most consistent findings in clinical and meta-analytical studies and were reported to be a principal mediator of psychosocial impairment and disability. Cognitive dysfunction is thought to be underlied by abnormalities in distributed brain circuits, at the cellular and molecular levels. Nonetheless, the neural mechanisms underlying the dysregulation in these circuits are poorly understood. Emerging evidence indicates that metabolic abnormalities are highly relevant for the domain of cognitive function and indicate that alterations in metabolic pathways may be relevant to neurocognitive decline across different populations. The incretin glucagon-like peptide-1 (GLP-1) is a hormone secreted by intestinal epithelial cells. GLP-1 receptors are widely expressed in the central nervous systems. Pre-clinical trials have demonstrated significant neuroprotective effects of GLP-1. Ongoing clinical trials measuring cognition and mood in populations with various psychiatric disorders lend further impetus to explore the effects of GLP-1R agonists on brain structure and cognitive function. We hypothesize that GLP-1 and the GLP-1R are relevant for molecular and cellular processes that are thought to underlie the formation and maintenance of brain circuits. A derivative of this hypothesis is that the administration of GLP-1 agonists may result in enhanced neuronal survival and consequential increase in gray matter volume. We therefore propose to explore the cellular and molecular abnormalities within and between neural circuits subserving cognition using the GLP-1R agonist liraglutide. The overall goal of this study is to explore the relationship between a metabolic molecular target (i.e. the GLP1 system), the neural circuits of interest and the behavioral phenotype cognitive function.
The study is a three year research project whose aims are to evaluate the willingness of individuals with serious mental illness to initiate the two illness self-management interventions- WRAP or FOCUS, to examine and compare participant engagement, satisfaction, and outcomes (symptoms, recovery, quality of life) in the two interventions.
The goal of this project is to complete the development of a patient-centered software system and mobile app to assist in managing bipolar disorder. In Phase I, the investigators developed a novel computational tool known as KIOS. Based on concepts from nonlinear systems (chaos) theory, KIOS tracks multiple interacting symptoms to determine the precise state of a BD patient. Once the patient's state is identified and the trajectory of the patient is established, KIOS produces advice specific to the patient's condition to help manage the course of the disease. To demonstrate the usability of the software, KIOS was converted to an online tool with mobile access. Twenty bipolar patients evaluated KIOS in a twelve week field trial. No technical problems with the software were observed and results showed that patients had significantly more reductions in symptom severity than increases. The development of this innovative tool to help patients self- manage BD has the potential to have a profound impact on public health and achieve significant commercial success.
1. To assess the acute and long-term bimodal efficacy of iloperidone (IL), as an adjunct to ongoing treatment with lithium (Li) or divalproex (DIV) or lamotrigine (LAM) or any combination of the three thereof, in a group of patients with an index episode of a mixed state in BD. 2. To assess background, baseline features, and behavioral components which characterize treatment response/non-response in the acute and long term management of MS
This study will develop and pilot a smartphone intervention, LiveWell, to enhance patient self-management of bipolar disorder and facilitate more efficient, timely care delivery by mental health providers. The intervention uses a mobile application to collect daily self-report and continuous behavioral data and adapts intervention content to create a highly tailored and user-responsive treatment system. Patient data collected by the phone will also be provided to clinicians to allow for better evaluation and targeting of treatment. The goal is to reduce symptoms and prevent relapse in patients with bipolar disorder.