Electronic Theses and Dissertations
Identifier
6435
Date
2019
Document Type
Thesis
Degree Name
Master of Science
Major
Psychology
Concentration
Experimental Psychology
Committee Chair
Helen J. K. Sable
Committee Member
Frank Andrasik
Committee Member
Jeffrey J. Sable
Abstract
The utility of genetics for predicting alcoholism and alcohol-related disorders islimited given environmental variance and a finite understanding of all geneticcontributors. This has led to interest in phenotypic markers that can be used forclassifying individuals at heightened risk for developing alcoholism and alcohol-relateddisorders. One such marker is the P300, an event-related potential (ERP) observed tohave an attenuated amplitude and increased latency in both humans and animals whohave a genetic predisposition to alcohol use. To study the utility of the P300 as abiomarker for alcohol use disorders (AUDs), we examined its characteristic in alcoholpreferring (P) and non-preferring (NP) rats naïve to alcohol using an auditory oddballtask. Electroencephalography (EEG) was measured using a novel, noninvasive methodafter rats were trained to press a lever for food in response to the rare “target” tone, butnot after the more frequent “standard” tone. The amplitude of the N2-P3 complexrevealed a significant line x tone interaction (F(1,37)=4.365, p=.044, η2p=.106). Post-hoc analysis revealed an approaching significant attenuation in the N2-P3 amplitude for the P(versus NP) rats only for the target tone (p=.077, η2p= .078). These results support theprevious findings reporting a decrease in P300 amplitude in those with a geneticpredisposition to alcohol and adds support to the utility of the P300 as a endophenotypicmarker of alcoholism.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Brewer, Logan Michael, "A Noninvasive Measure of the P300 in Rats Selectively Bred for Disparate Alcohol Preference During an Auditory Oddball Tas" (2019). Electronic Theses and Dissertations. 2003.
https://digitalcommons.memphis.edu/etd/2003
Comments
Data is provided by the student.