Digital phenotyping as a marker of clinical development in major psychiatric disorders (NW25-04-00081)
Basic information
Investigator: Prof. MUDr. Tomáš Hájek, Ph.D.
Main recipient: Czech Technical University in Prague (CTU)
Co-recipient: NIMH (National Institute of Mental Health), University Hospital Hradec Králové
Research period: 1/5/2025 – 31/12/2028
Total budget: 5,416,000 CZK
NIMH budget: 5,001,000 CZK
Supported by: Czech Health Research Council (AZV ČR)
Annotation
Over the past years, the omnipresent spread of mobile technology opened new pathways for the development of precise and personalized disease phenotypes and diagnostic biomarkers to diagnose, monitor, and treat illnesses. Together with a worldwide surge in mental health problems, emphasized further by the COVID-19 pandemic, the digital technologies represent an opportunity for timely personalized diagnostics, often called “digital phenotyping”. Digital phenotypes can be constructed from two primary acquisition types during behavioral monitoring: passive and active data. Passive data are gathered without active engagement from the user. These consist mainly of data streams such as accelerometer readings, and smartphone usage statistics. Contrasted with passive data are active data: information collected in a way that requires the user to willingly interact with his or her device (questionnaires, voice recordings, etc.). The proposed project aims to identify passive digital biomarkers associated with the clinical state in psychotic and depressive patients. The phenotypes will be, based on passive sensing of smartphone usage and physical activity using actigraph.