Affective networks in healthy control and ADHD groups identified using independent component analysis (ICA).

<p>Resting-state data from all the subjects (healthy control children and children with ADHD) were aggregated into group-level ICA. The combined affective network across all the subjects was identified by visual spatial template matching with a previously identified affective/limbic network of 1000 subjects [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139018#pone.0139018.ref041" target="_blank">41</a>]. Individual maps of the affective network were then constructed by back-projection. The group-level average affective network for healthy control children and ADHD children are presented here at p<0.05 FWE corrected. Color bar represents t-statistics.