View clinical trials related to Cyclothymia.
Filter by:Mood disorders are associated with significant financial and health costs for the United States, partially due to cognitive problems in these patients that can worsen disease course and impair treatment response. This study proposes to use smartphone-based technology to monitor cognitive problems in patients with mood disorders by linking brain network changes with predicted worsening of mood symptoms. The proposed study will provide evidence for using smartphone-based passive sensing as a cost-effective way to predict illness course and treatment response.
We will modify our existing VMQ/VADIS mood telemetry software to run on a Motorola platform, and enhance it to collect information on both mood symptoms (currently covered by the VMQ/VADIS) as well as daily life stressors (currently outside the VMQ/VADIS' scope). By doing so, we will be able us to examine the role of daily stressors in the lives of teens with and without mood swings, to identify how changes in mood triggered by stressful events are similar to or different from mood changes linked to the bipolar disorder, borderline personality disorder, or other forms of affective instability.