Talk 1: Opportunities and challenges for understanding developmental psychopathology with multi-modal neuroimaging
Existing research suggests that many major psychiatric conditions can be considered disorders of brain development. Furthermore, it has become increasingly clear that clinical diagnostic categories do not map cleanly onto underlying neurobiological mechanisms of illness. In this presentation, I will present recent work which describes efforts to characterize both normal and abnormal patterns of brain development. In particular, I will focus on data that reveals common circuit-level dysfunction present across psychiatric disorders, and recent work which uses machine learning techniques to parse psychopathology using multi-modal neuroimaging in a data driven fashion. Throughout, I will draw upon data from the Philadelphia Neurodevelopmental Cohort, a large-scale, community-based study of brain development (n=1,601).