Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Japan Science and Technology PRESTO, Saitama, Japan
Zijing Hu
Department of Physiology, Monash University, Clayton, Australia; Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Australia
Makoto Ohtake
Department of Neuroscience, Medical University of South Carolina, Charleston, United States
Department of Pharmacology, Kagoshima University, Kagoshima, Japan
Hideki Izumi
Faculty of Data Science, Shiga University, Shiga, Japan
Takuma Tanaka
Faculty of Data Science, Shiga University, Shiga, Japan
Ashley Matunis
Department of Neuroscience, Medical University of South Carolina, Charleston, United States; Department of Biology, College of Charleston, Charleston, United States; Department of Neuro-Medical Science, Osaka University, Osaka, Japan
Emma Stacy
Department of Neuroscience, Medical University of South Carolina, Charleston, United States; Department of Biology, College of Charleston, Charleston, United States
Takahide Itokazu
Department of Neuro-Medical Science, Osaka University, Osaka, Japan
Department of Pharmacology, Kagoshima University, Kagoshima, Japan; Japan Science and Technology PRESTO, Saitama, Japan; Department of Physiology, Monash University, Clayton, Australia; Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Australia; Japan Science and Technology FOREST, Saitama, Japan
Midbrain dopamine neurons impact neural processing in the prefrontal cortex (PFC) through mesocortical projections. However, the signals conveyed by dopamine projections to the PFC remain unclear, particularly at the single-axon level. Here, we investigated dopaminergic axonal activity in the medial PFC (mPFC) during reward and aversive processing. By optimizing microprism-mediated two-photon calcium imaging of dopamine axon terminals, we found diverse activity in dopamine axons responsive to both reward and aversive stimuli. Some axons exhibited a preference for reward, while others favored aversive stimuli, and there was a strong bias for the latter at the population level. Long-term longitudinal imaging revealed that the preference was maintained in reward- and aversive-preferring axons throughout classical conditioning in which rewarding and aversive stimuli were paired with preceding auditory cues. However, as mice learned to discriminate reward or aversive cues, a cue activity preference gradually developed only in aversive-preferring axons. We inferred the trial-by-trial cue discrimination based on machine learning using anticipatory licking or facial expressions, and found that successful discrimination was accompanied by sharper selectivity for the aversive cue in aversive-preferring axons. Our findings indicate that a group of mesocortical dopamine axons encodes aversive-related signals, which are modulated by both classical conditioning across days and trial-by-trial discrimination within a day.