scholarly journals Adolescent dopamine neurons represent reward differently during action and state guided learning

2021 ◽  
Author(s):  
Aqilah McCane ◽  
Meredyth Wegener ◽  
Mojdeh Faraji ◽  
Maria Rivera Garcia ◽  
Kathryn Wallin-Miller ◽  
...  

The neuronal underpinning of learning cause-and-effect associations in the adolescent brain remains poorly understood. Two fundamental forms of associative learning are Pavlovian (classical) conditioning, where a stimulus is followed by an outcome, and operant (instrumental) conditioning, where outcome is contingent on action execution. Both forms of learning, when associated with a rewarding outcome, rely on midbrain dopamine neurons in the ventral tegmental area (VTA) and substantia nigra (SN). We find that in adolescent male rats, reward-guided associative learning is encoded differently by midbrain dopamine neurons in each conditioning paradigm. Whereas simultaneously recorded VTA and SN adult neurons have a similar phasic response to reward delivery during both forms of conditioning, adolescent neurons display a muted reward response during operant but a profoundly larger reward response during Pavlovian conditioning suggesting that adolescent neurons assign a different value to reward when it is not gated by action. The learning rate of adolescents and adults during both forms of conditioning was similar further supporting the notion that differences in reward response in each paradigm are due to differences in motivation and independent of state versus action value learning. Static characteristics of dopamine neurons such as dopamine cell number and size were similar in the VTA and SN but there were age differences in baseline firing rate, stimulated release and correlated spike activity suggesting that differences in reward responsiveness by adolescent dopamine neurons are not due to differences in intrinsic properties of these neurons but engagement of different networks.

2021 ◽  
Vol 202 ◽  
pp. 173104
Author(s):  
Hui Shen ◽  
Kai Chen ◽  
Rosa Anna M. Marino ◽  
Ross A. McDevitt ◽  
Zheng-Xiong Xi

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