Patrick Bach

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 neurostructural correlates of social drinking risk in alcohol use disorder using ecological momentary assessment and MRI.

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

This study shows estrogen receptor alpha in the amygdala influences alcohol craving in females through mouse models and human genetics.

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