Self-Regulation and Neural Networks in Alcohol Use Disorders

This research in alcohol-dependent individuals and non-alcoholic controls determines the relationships between behaviorally relevant measures of self-regulation (such as impulsivity, decision making, risk taking) and magnetic resonance-based measures of neuronal viability (metabolite concentrations) and neural circuitry (task-free functional connectivity within distinct brain networks involved in cognition and reward processing). Identifying and understanding these relationships will identify novel measures of relapse risk that promise to inform future treatment strategies in substance use disorders.