Modulation of Ventromedial Orbitofrontal Cortical Glutamatergic Activity Affects the Explore-Exploit Balance and Influences Value-Vased Decision-Making

Samuel A. Barnes, Daniel G. Dillon, Jared W. Young, Michael L. Thomas, Lauren Faget, Ji Hoon Yoo, Andre Der-Avakian, Thomas S. Hnasko, Mark A. Geyer, Dhakshin Ramanathan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The balance between exploration and exploitation is essential for decision-making. The present study investigated the role of ventromedial orbitofrontal cortex (vmOFC) glutamate neurons in mediating value-based decision-making by first using optogenetics to manipulate vmOFC glutamate activity in rats during a probabilistic reversal learning (PRL) task. Rats that received vmOFC activation during informative feedback completed fewer reversals and exhibited reduced reward sensitivity relative to rats. Analysis with a Q-learning computational model revealed that increased vmOFC activity did not affect the learning rate but instead promoted maladaptive exploration. By contrast, vmOFC inhibition increased the number of completed reversals and increased exploitative behavior. In a separate group of animals, calcium activity of vmOFC glutamate neurons was recorded using fiber photometry. Complementing our results above, we found that suppression of vmOFC activity during the latter part of rewarded trials was associated with improved PRL performance, greater win-stay responding and selecting the correct choice on the next trial. These data demonstrate that excessive vmOFC activity during reward feedback disrupted value-based decision-making by increasing the maladaptive exploration of lower-valued options. Our findings support the premise that pharmacological interventions that normalize aberrant vmOFC glutamate activity during reward feedback processing may attenuate deficits in value-based decision-making.
Original languageAmerican English
JournalCerebral Cortex
Volume33
Issue number10
DOIs
StatePublished - 15 May 2023
Externally publishedYes

Keywords

  • Q-learning
  • fiber photometry
  • optogenetics
  • reinforcement learning
  • vmOFC

EGS Disciplines

  • Biology

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