Joseph T. Sakai

The paper examines EF impairments in adolescents with CU traits and CP, finding distinct brain network patterns associated with these traits.

The paper uses connectome-based predictive modeling to predict empathy in adolescents with and without the LPE specifier using resting-state functional connectivity data.

The paper uses computational lesioning on brain connectomes to show that lesioning 23 nodes and network modularity explain variance in callous-unemotional traits.

The paper examines how cognitive control and perspective taking relate to callous-unemotional traits through brain connectivity analysis in adolescents.

The paper models individual-specific resting-state network maps in adolescents with callous-unemotional traits and identifies topological features associated with these traits.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.