Research

Current Research

Our research explores factors that influence risk for alcohol use disorder (AUD) and negative consequences of alcohol and drug use. Our ongoing work combines laboratory alcohol administration, ecological momentary assessment, and mathematical modeling of decision making methods to test novel hypotheses about how individuals make decisions relevant to alcohol use, and how intoxication alters the decision making process. Our work is primarily supported by NIH/NIAAA, including an ongoing R01, K25, and 2 F31 awards.

  • Risk for Alcohol Impaired Driving: From the Laboratory to the Natural Environment
    This project (NIAAA/OBSSR R01 AA019546) combines lab and ambulatory assessment methods to test in-the-moment decisionsabout driving after drinking alcohol. Participants complete a laboratory session followed by daily reporting using both a smartphone and a study-provided breathalyzer device.

  • Advanced Mathematical Modeling of Decision Making in Alcohol Research. National
    This project (NIAAA K25 AA024182) involves a series of experimental studies that seek to apply current decision making models to important questions in the area of alcohol use and related consequences. Studies will involve both the development of novel decision making tasks and the examination of acute alcohol effects on classical decision making tasks.

  • Mathematical Modeling of Intoxicated Risky Decision Making
    Graduate trainee Laura Hatz (ABD) received an NIH fellowship (F31 AA027162) to support her dissertation work and to enhance her training in cutting-edge decision modeling. As part of this project, Ms. Hatz is testing the effect of alcohol intoxication on sexual decision making using a novel decision paradigm she developed. She is also working on secondary analyses of impulsivity task data from our lab and others across the country to apply drift diffusion and other cognitive process models to improve our understanding of alcohol effects on components of impulsive processes.

  • Neural Correlates of Decision Making Under Risk and Substance Misuse
    Graduate trainee Kayleigh McCarty (ABD) received an NIH fellowship (F31 AA026207) to support her dissertation work and to enhance her training in EEG/ERP methods. Her dissertation project examines whether ERP reward sensitivity indices (e.g., RewP) are associated with decision making under risk and individual differences in risk attitude classification (e.g., risk seeking, risk averse).

Participate

For more information on our current studies or to determine if you are eligible to participate, please contact us at (573) 882-8225.