Attention-deficit/hyperactivity disorder (ADHD) is among the most common psychiatric disorders of childhood, and there is great interest in understanding its neurobiological basis. A prominent neurodevelopmental hypothesis proposes that ADHD involves a lag in brain maturation. Previous work has found support for this hypothesis, but examinations have been limited to structural features of the brain (e.g., gray matter volume or cortical thickness). More recently, a growing body of work demonstrates that the brain is functionally organized into a number of large-scale networks, and the connections within and between these networks exhibit characteristic patterns of maturation. In this study, we investigated whether individuals with ADHD (age 7.2-21.8 y) exhibit a lag in maturation of the brain's developing functional architecture. Using connectomic methods applied to a large, multisite dataset of resting state scans, we quantified the effect of maturation and the effect of ADHD at more than 400,000 connections throughout the cortex. We found significant and specific maturational lag in connections within default mode network (DMN) and in DMN interconnections with two task positive networks (TPNs): frontoparietal network and ventral attention network. In particular, lag was observed within the midline core of the DMN, as well as in DMN connections with right lateralized prefrontal regions (in frontoparietal network) and anterior insula (in ventral attention network). Current models of the pathophysiology of attention dysfunction in ADHD emphasize altered DMN-TPN interactions. Our finding of maturational lag specifically in connections within and between these networks suggests a developmental etiology for the deficits proposed in these models.resting state | connectomics | default network A ttention-deficit/hyperactivity disorder (ADHD) is a serious neuropsychiatric disorder characterized by inattention, hyperactivity, and impulsivity. One influential neurodevelopmental model of the disorder posits a lag in the maturational trajectories of key features of the brain (1-4). This model has mostly been investigated by examining developmental pathways of structural features of the brain (3,(5)(6)(7)(8). In recent years, however, theorists have increasingly used resting state functional MRI (fMRI)-scanning participants in a task-free resting state-to explore the brain's functional architecture. This work has led to the recognition that the human brain is organized into several large-scale intrinsic connectivity networks (ICNs), each associated with specific neurocognitive functions (9, 10). ICNs have been shown to undergo significant maturation from childhood to early adulthood, with individual ICNs exhibiting spatially specific reliable patterns of integration (increased connectivity with age) and segregation (decreased connectivity with age) with other ICNs (11-17). These advances raise possibilities for investigating maturational lag in ADHD in the developing ICN architecture of the brain (18).Independent lines of res...