The complex organization of the human brain is increasingly understood as highly networked system.   Accordingly, we use network analysis methods in conjunction with multi-modal neuroimaging in order to understand how the topology of brain networks evolve in adolescence, and how abnormal brain networks are associated with psychiatric symptoms. Building upon on our work demonstrating the confounding influence of in-scanner motion on estimates of functional connectivity, we place a particular emphasis on data quality.    Ongoing collaborative work with network scientist Dani Bassett uses novel methods to describe how the human connectome develops during youth.