This report summarizes our analysis of the auditory and visual event related evoked potentials. These data were collected as a component of the Collaborative Study on the Genetics of Alcoholism and distributed as a part of the data available for the Genetic Analysis Workshop 11. For this analysis, we collapsed the data collected from eight leads using principal components methods. Using four collapsed variables derived from the principal components, we used regression analysis to adjust for environmental and demographic variables. We then fit the best fitting regression model and calculated the residuals. Using the residuals, we performed segregation analysis using S.A.G.E. Finally, we applied Markov chain Monte Carlo reverse jump methods to identify areas with potential quantitative trait loci. Our findings indicate that there may be an underlying genetic component to the potentials.