Examining Pubertal and Cognitive Differences in Adolescent Depressive Symptoms Using Drift Diffusion Modeling
Risk for depression increases during adolescence, reflecting a constellation of cascading interactions between affective, biological, and cognitive factors. Drift diffusion modeling (DDM) can clarify the cognitive mechanisms underlying risk for depression by decomposing cognitive task performance into latent components...