Serotonin and dopamine differentially affect appetitive and aversive general Pavlovian-to-instrumental transfer
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Human motivation and decision-making is influenced by the interaction of Pavlovian and instrumental systems. The neurotransmitters dopamine and serotonin have been suggested to play a major role in motivation and decision-making, but how they affect this interaction in humans is largely unknown.
We investigated the effect of these neurotransmitters in a general Pavlovian-to-instrumental transfer (PIT) task which measured the nonspecific effect of appetitive and aversive Pavlovian cues on instrumental responses.
For that purpose, we used selective dietary depletion of the amino acid precursors of serotonin and dopamine: tryptophan (n = 34) and tyrosine/phenylalanine (n = 35), respectively, and compared the performance of these groups to a control group (n = 34) receiving a nondepleted (balanced) amino acid drink.
We found that PIT differed between groups: Relative to the control group that exhibited only appetitive PIT, we found reduced appetitive PIT in the tyrosine/phenylalanine-depleted group and enhanced aversive PIT in the tryptophan-depleted group.
These results demonstrate a differential involvement of serotonin and dopamine in motivated behavior. They suggest that reductions in serotonin enhance the motivational influence of aversive stimuli on instrumental behavior and do not affect the influence of appetitive stimuli, while reductions in dopamine diminish the influence of appetitive stimuli. No conclusions could be drawn about how dopamine affects the influence of aversive stimuli. The interplay of both neurotransmitter systems allows for flexible and adaptive responses depending on the behavioral context.
KeywordsDecision-making Motivation Pavlovian-to-instrumental transfer Serotonin Dopamine Tryptophan depletion Tyrosine depletion
We thank Arnina Frank and Friederike Irmen for their help in data collection, Timo Krämer for taking blood samples, Ulrike Schwarze for introducing us to the depletion protocol, and Dirk Geurts for useful discussions. This work was supported by the “Bernstein Award for Computational Neuroscience” by the German Ministry of Education and Research (BMBF) awarded to JG (Grant No. 01GQ1006).
Conflict of interest
The authors declare no conflict of interest.
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