Annika J. Quam

A machine learning approach to predicting high-risk irritability trajectories across the transition to adolescence

Abstract Youth irritability, characterized as proneness to anger/frustration, is associated with negative mental health outcomes. This study identified irritability trajectories across the transition to early adolescence and applied machine learning to identify preadolescent pred...

Dissociable neural correlates of tonic and phasic irritability during reward processing in young children

Background Irritability is a common and impairing feature of childhood psychopathology and is increasingly conceptualized as comprising tonic (persistent irritable mood) and phasic (reactive temper outbursts) components. Although these dimensions show partially distinct behaviora...