In JoVE (1)
Other Publications (1)
Articles by Mojtaba Kermani in JoVE
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents Mojtaba Kermani*1,3, Zahra Fatahi*2, Dechuan Sun3, Abbas Haghparast2, Chris French3,4 1Department of Optometry and Vision Science, The University of Melbourne, 2Neuroscience Research Center, Shahid Beheshti University of Medical Science, 3Department of Medicine, The University of Melbourne, 4Royal Melbourne Hospital A cost-benefit analysis is a weighing-scale approach that the brain performs during the course of decision making. Here, we propose a protocol to train rats on an operant-based decision-making paradigm where rats choose higher rewards at the expense of waiting for 15 s to receive them.
Other articles by Mojtaba Kermani on PubMed
Functional Connectivity Between Anterior Cingulate Cortex and Orbitofrontal Cortex During Value-based Decision Making Neurobiology of Learning and Memory. Jan, 2018 | Pubmed ID: 29191756 There is a growing body of evidence showing that the anterior cingulate (ACC) and the orbitofrontal (OFC) cortex are both essential for reinforcement-guided decision making. Focusing on functional connectivity approach through coherence, we studied whether communication between the ACC and OFC through neural synchronization is a necessary stage for performing value-based decision making. We used a T-maze task with a differential reward (Large vs. small reward) and cost (long vs. short waiting time) and simultaneously recorded local field potentials (LFP) from the ACC and OFC. Task-dependent synchronization in theta/low beta (4-20 Hz) frequency bands were observed between areas when rats chose the higher over the lower reward. This synchronization was significantly poorer when rats chose lower rewards or passively performed the task. High-gamma (80-100 Hz) synchrony between areas was also observed, however, it was not dependent on the animal's decision. Our results propose that synchronization between the ACC and OFC in the low-frequency range is necessary during value-based decision making.