BI-MODAL

  • Research type

    Research Study

  • Full title

    Measuring Bipolar Moods and Decision-Making Longitudinally Using Smartphone-Based Assessment and Functional MRI

  • IRAS ID

    244887

  • Contact name

    Liam Mason

  • Contact email

    l.mason@ucl.ac.uk

  • Sponsor organisation

    University College London

  • Clinicaltrials.gov Identifier

    Z6364106/2019/12/29, UCL Data Protection Registration

  • Duration of Study in the UK

    4 years, 9 months, 31 days

  • Research summary

    This study aims to understand the mechanisms underlying unstable mood and decision-making in bipolar disorder and people with mood instability. These will primarily be quantified using smartphone-based mood tracking and cognitive tasks.

    Participants will be asked to complete engaging, smartphone-based games based on existing experimental psychology tasks. These are accessed through a software application ('app') developed for scientific research of mood and happiness.Participants will also complete a series of questionnaires and scales designed to measure personality and mood and track their mood via the app.

    We will also study how mood and the impact of mood on decisions, is represented in the brain. Participants will complete the mood and decision-making tasks whilst undergoing a neuroimaging scan. Functional magnetic resonance imaging (fMRI) provides a non-invasive means of quantifying brain activity in real-time, i.e. as participants are making decisions during the tasks. At the end of study, participants are thanked for their involvement, given the opportunity to ask any questions and can give feedback about the research. If participants would like to be able to play the games on the app after this date, they are allowed to keep the app installed to do so.

  • REC name

    London - Bloomsbury Research Ethics Committee

  • REC reference

    20/LO/0945

  • Date of REC Opinion

    14 Dec 2020

  • REC opinion

    Further Information Favourable Opinion