Related Experiment Video
Updated: Nov 11, 2025

07:05
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
6.2K
Anterior Cingulate Cortex Lesions Abolish Budget Effects on Effort-Based Decision-Making in Rat Consumers
Yue Hu1, Marijn van Wingerden2, Manuela Sellitto3
1Comparative Psychology, Institute of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf 40225, Germany yue.hu@hhu.de.
Summary
The anterior cingulate cortex (ACC) is crucial for how rats adjust their purchasing decisions based on budget changes. ACC lesions impair the ability to account for purchasing power in cost-benefit analyses.
Area of Science:
- Neuroscience
- Behavioral Economics
- Decision-Making
Background:
- Demand theory analyzes consumer choices under budget constraints.
- Rats exhibit different demand elasticities under compensated versus uncompensated budget conditions.
- The role of the anterior cingulate cortex (ACC) in these budget effects is unknown.
Purpose of the Study:
- To investigate if the anterior cingulate cortex (ACC) is necessary for budget effects on demand elasticity in rats.
- To determine if ACC is involved in computing purchasing power within cost-benefit analyses.
Main Methods:
- Rats performed an effort-based task manipulating reward prices and budget.
- Excitotoxic or sham lesions were applied to the ACC.
- Demand for rewards (vanilla/chocolate) was measured under compensated and uncompensated budget conditions.
Main Results:
- Sham-lesioned rats showed pronounced demand adjustments with uncompensated budgets.
- ACC-lesioned rats failed to exhibit this additional budget effect.
- ACC-lesioned rats did not maximize utility, indicating deficits in strategic adaptation.
Conclusions:
- ACC integrity is essential for considering purchasing power in cost-benefit computations.
- The ACC plays a novel role in economic decision-making by integrating budget constraints.
- These findings highlight ACC's importance in effort-based decision-making and adaptive choice strategies.

