Cognitive Signatures of Depressive and Anhedonic Symptoms and Affective States Using Computational Modeling and Neurocognitive Testing.

Background: Deeper phenotyping may improve our understanding of depression. Because depression is heterogeneous, extracting cognitive signatures associated with severity of depressive symptoms, anhedonia, and affective states is a promising approach.

Methods: Sequential sampling models decomposed behavior from an adaptive approach-avoidance conflict task into computational parameters quantifying latent cognitive signatures.

A Qualitative Examination of a School-Based Implementation of Computer-Assisted Cognitive-Behavioral Therapy for Child Anxiety.

Mental health treatment in schools has the potential to improve youth treatment access. However, school-specific barriers can make implementing evidence-based interventions difficult. Task-shifting (i.