Date of Award
2024-11-01
Degree Name
Master of Science
Department
Computational Science
Advisor(s)
Alexander Friedman
Abstract
Understanding the effects of substance use on decision-making is critical for both clinical andtranslational research. In this thesis, I present two complementary studies that explore decision- making behavior in rodents with a focus on alcohol consumption and novel experimental frame- works. The first study examines the impact of acute alcohol consumption on decision-making in a behavioral approach-avoidance task. Rats were presented with a concurrent choice of consuming alcohol and sucrose mixtures across four distinct concentrations, allowing for the analysis of ap- proach or avoidance behavior. Sex-dependent differences emerged, with male rats demonstrating a significantly higher tendency to approach higher alcohol concentrations, while female rats showed minimal changes in their choice behavior. This novel protocol highlights the individual variability in decision-making under alcohol exposure and provides a method for identifying abnormalities that could predict vulnerability to alcohol use disorders. The second study introduces the REward-COst in Rodent Decision-making (RECORD) sys- tem, an automated, high-throughput framework designed to study decision-making across multiple reward and cost levels. By integrating 3D-printed arenas, custom electronic hardware, and soft- ware, RECORD enables the analysis of complex decision-making behaviors without the need for food or water restriction. Using test cases involving oxycodone self-administration and alcohol consumption, we reveal how individual and group behavioral heterogeneity can be quantified, of- fering new insights into perturbations in decision-making. Together, these studies provide innovative tools and insights for studying decision-making un- der substance use, with the potential to inform research on psychiatric disorders and addiction vulnerability.
Language
en
Provenance
Recieved from ProQuest
Copyright Date
2024-11-01
File Size
87 p.
File Format
application/pdf
Rights Holder
Atanu Giri
Recommended Citation
Giri, Atanu, "Deciphering Rodent Behavior: Unraveling Complex Decision-Making Through High-Throughput Data Analysis In Behavioral Neuroscience" (2024). Open Access Theses & Dissertations. 4245.
https://scholarworks.utep.edu/open_etd/4245