Networks are often implicated in theories of adolescent brain development, but they are not regularly examined in empirical studies. The aim of this article is to address this disconnect between theory and quantitative methodology, using the dual systems model of adolescent decision making as a prototype. After reviewing the key task-related connectivity methods that have been applied in the adolescent neuroimaging literature (seed-based correlations, psychophysiological interactions, and dynamic causal modeling), a novel connectivity method is introduced (extended unified structural equation modeling). The potential of this method for understanding adolescent brain development is showcased with a simulation study: It creates person-specific networks that have direct and time-lagged connections that can be modulated by behavior.
© 2018 Society for Research on Adolescence.