Networks, More Networks, Multilayer Networks

Abstract

The field of network psychometrics has developed into a promising alternative to the common cause theory and depicts mental health disorders as arising from the interactions between individual symptoms. These networks use symptoms as nodes to identify symptom relationships. To facilitate risk stratification, my lab is currently developing data driven methods using network analysis to identify psychiatrically at-risk individuals. Specifically, we aim to integrate multiplex high-dimensional datatypes for this purpose by leveraging novel tools from network science and bioinformatics.