br Conclusions Our findings support that

Conclusions Our findings support that combining graph theory with neuroimaging data may represent a valuable approach for classifying children with ADHD and typical development; for informing ADHD heterogeneity; and for investigating ADHD neurobiology. Research examining other order ridaforolimus systems is needed to further validate our approach. Future studies should evaluate how community organization relates to long-term outcomes, such as prognosis and response to treatment. Also, a longitudinal study would be useful to evaluate whether the community organization is stable over time. Similar methods have been used to assess behavioral and temperamental variation in ADHD and typically developing populations (Fair et al., 2012; Gates et al., 2014; Karalunas et al., 2015). In the future, neuroimaging, temperament, neuropsychological, and possibly genetic data should be combined in order to improve the ability of identifying subgroups of individuals with and without ADHD based on neurobiological information.
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