Dynamic brain mechanism underlying cognitive control deficits in childhood ADHD

Weidong Cai, Clinical Assistant Professor of Psychiatry and Behavioral Sciences. Stanford University.

ADHD is a prevalent neurodevelopment disorder affecting 5-10% of children worldwide. Children with ADHD have prominent deficits in attention and cognitive control. Cognitive control relies on dynamic interactions between large-scale brain networks, in particular the salience, frontoparietal and default mode networks. However, little is known about dynamic brain mechanism during cognitive performance and its relation to cognitive control deficits and clinical symptoms in children with ADHD. In this talk, I will briefly review previous behavioral and functional neuroimaging work in ADHD and present two recent and ongoing studies. In the first study, we investigated task-evoked connectivity in the salience and frontoparietal network and its relation to poor inhibition of motor responses. In the second study, we applied a novel computational algorithm to uncover dynamic latent brain states during cognitive performance and their associations with response variability, decision-making and inattention in children with ADHD.