PROJECT SUMMARY/ABSTRACT Attention-deficit/hyperactivity disorder (ADHD) is the most commonly diagnosed developmental disorder of childhood, affecting ~9% of children nationwide. Although ADHD dramatically increases the risk for poor academic achievement, substance abuse, and criminal behavior, particularly in adolescence, too little is known regarding how neurobiological developmental trajectories underlie these behavioral and clinical outcomes. This remains the case in spite of the importance of such work for earlier identification of risk factors, more targeted treatment models, and, in turn, education, juvenile justice, and healthcare savings for individuals, families, and society. The goal of the parent grant, therefore, is to characterize longitudinal neural, behavioral, and clinical trajectories of youth with ADHD from late childhood to mid-adolescence. Brain systems underlying cognitive control and motivation in particular have been identified as centrally important both to the neural etiology of ADHD and to the general increase in risk-taking behavior and poor decision-making observed in typically developing (TD) adolescents. An important aspect of these models is how brain regions underlying these processes form coherent networks, as well as how these networks interact and influence each other to produce behavior. Here we bring together these two disparate literatures to gain understanding of the transition to adolescence in youth with ADHD. Thus, the parent grant focuses on the maturational course of the cognitive control and motivation systems, individually and in interaction, in youth with and without ADHD in a multi-session longitudinal design. The specific aims of the parent grant include: 1) Characterize behavioral trajectories of cognitive control, motivation, and their interaction in ADHD and TD youth from childhood into adolescence; 2) Characterize the development of structural and functional brain network organization during the same time period, focusing on brain networks underlying cognitive control and motivation; and 3) Identify neural, behavioral, and clinical features of pre-adolescent ADHD that predict clinical outcomes and risk-taking behavior during adolescence. To address these aims, innovative network analytic tools based on graph theory and structural equation modeling will be applied to structural and functional connectivity estimates of MRI data during diffusion- weighted imaging (structural) and during rest, cognitive control, motivation, and risk-taking tasks (functional). Additionally behavioral performance on the cognitive control, motivation and risk-taking tasks, ADHD symptomatology, and risk-taking attitudes and behavior will be assessed. The aim of this supplement is to provide funds such that the acquisition of all planned MRI scanning can take place, given unanticipated costs in collecting neuroimaging data as a result of: 1) increases in hourly rate; and 2) the need to schedule longer MRI scan sessions...