Michael A. Rapp

The paper examines associations between impaired control symptoms in AUD and behavioral, neural, and drinking behavior measures, finding specific links to inhibitory control deficits.

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

This study investigates the neural basis of multitasking costs by analyzing functional connectivity in the brain, finding that local connectivity changes, not global network differences, are linked to modality-based crosstalk.

This study shows that multitasking performance improves with practice that separates task representations in sensory brain regions, reducing modality-based interference.