Justin Böhmer

This study uses machine learning to predict alcohol consumption from resting-state fMRI connectivity, finding weak but reproducible signals with limited predictive power.

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 identifies a transdiagnostic brain functional connectivity signature of craving across substance use disorders using connectome-based predictive modeling.

The paper examines functional brain network organization in alcohol-dependent patients to identify predictors of relapse during a 12-month follow-up.