The Translation of research is hindered by a lack of integration between different behavioral domains, such as motor, language, and social functioning, which are often interconnected. Psychiatric disorders involve disconnection in both brain networks and behavior, but these interactions have not been explored.

This project aims to map how dysconnectivity across these domains relates to brain network dysconnectivity in psychiatric patients. Using a clinical dataset, the project will assess symptom severity, motor movement, language, and social functioning, alongside EEG recordings before and after treatment.

Advanced methods like network theory and machine learning will be employed to analyze dysconnectivity and its interrelations. The host lab specializes in EEG analysis and machine learning applications in psychiatric care.

This project will be primarily hosted at the UMC in Utrecht with Edwin, and secondments are planned with Sara at the University of Copenhagen and Lara at the University of Bielefeld. 

You can find out more about Edwin’s research here: research.umcutrecht.nl/researchers/edwin-van-dellen/