APS
30th APS Annual Convention · 2018
Machine Learning Predictions of Alcohol Involvement: The Role of the AlcP300 Event-Related Potential.
- Anuska Martinez
The University of Texas at Austin - Hannah Volpert-Esmond
University of Missouri - Kimberly Fleming
The University of Kansas Medical Center - Liana Hone
University at Buffalo, The State University of New York - Bruce Bartholow
University of Missouri
Abstract
An electrophysiological endophenotype linked to heavy drinking is the AlcP300: An EEG-derived event-related potential whose amplitude shows implicit attention bias for alcohol cues. We aimed to predict drinking by including the AlcP3 in a multivariate model. To our knowledge, this is a novel statistical application of the AlcP3.
Substance Use and Abuse
