Brief ReportPhasic Nucleus Accumbens Dopamine Release Encodes Effort- and Delay-Related Costs
Section snippets
Methods and Materials
The NAc dopamine concentration was monitored in rats (n = 10) trained in either effort-based or delay-based decision tasks (Figure S1 in Supplement 1 and Figure 1A;Supplementary Methods in Supplement 1). In these tasks, rewards of equal magnitude (45-mg sucrose pellets) were made available at either low or high value in pseudorandomly ordered trials, with 90 total trials/behavioral session. On forced-choice trials (60/session), distinct 5-sec cue lights signaled the available response option
Results
During behavioral sessions, animals readily overcame high-effort demands or long delays to obtain rewards (Figures 1B and 1E) and discriminated between reward-predictive cues to reduce errors on forced-choice trials (error rates significantly below chance levels; p < .0001 for all comparisons; Figures 1C and 1F). On free-choice trials, animals exhibited a marked preference for low-cost and immediate reward options over high-cost and delayed reward options (paired t test on choice allocation; p
Discussion
Dopamine neurons encode a reward prediction error signal in which cues that predict rewards evoke phasic increases in firing rate, whereas fully expected rewards do not alter dopamine activity (13). This signal is also sensitive to a number of features of the upcoming reward, because cues that predict larger, immediate, or more probable rewards evoke larger spikes in dopamine neuron activity than cues that predict smaller, delayed, or less probable rewards (9, 10, 11, 14). In this way, dopamine
References (18)
- et al.
Temporal Reward discounting in attention-deficit/hyperactivity disorder: The contribution of symptom domains, reward magnitude, and session length
Biol Psychiatry
(2010) - et al.
Anhedonia or anergia?Effects of haloperidol and nucleus accumbens dopamine depletion on instrumental response selection in a T-maze cost/benefit procedure
Behav Brain Res
(1994) - et al.
A discounting framework for choice with delayed and probabilistic rewards
Psychol Bull
(2004) - et al.
Delay discounting in schizophrenia
Cogn Neuropsychiatr
(2007) - et al.
Effort-based cost-benefit valuation and the human brain
J Neurosci
(2009) - et al.
Nucleus accumbens dopamine and the regulation of effort in food-seeking behavior: Implications for studies of natural motivation, psychiatry, and drug abuse
J Pharmacol Exp Ther
(2003) - et al.
Impulsive choice induced in rats by lesions of the nucleus accumbens core
Science
(2001) - et al.
Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens
Nat Neurosci
(2007) - et al.
Dopamine operates as a subsecond modulator of food seeking
J Neurosci
(2004)
Cited by (124)
The effects of early life stress on impulsivity
2022, Neuroscience and Biobehavioral ReviewsEvolution of in vivo dopamine monitoring techniques
2021, Pharmacology Biochemistry and BehaviorAn Analysis of Decision under Risk in Rats
2019, Current BiologyCitation Excerpt :Conditioned stimuli predicting rewards with different probabilities or magnitudes have been shown to elicit phasic dopamine responses reflecting the value of the expected reward [71–73]. In delay discounting tasks, the phasic dopamine response reflects discounted value of delayed rewards in monkeys and rats [74, 75]. Finally, recent work has shown that dopamine reward prediction errors reflect the shape of monkeys’ measured utility functions [76].
The power of price compels you: Behavioral economic insights into dopamine-based valuation of rewarding and aversively motivated behavior
2019, Brain ResearchCitation Excerpt :An interdisciplinary combination of economic theory, computer science and mathematics led to value-based computational models that better align with the DA and behavioral observations we observe during action-outcome learning (Glimcher, 2011). A growing body of electrophysiological and electrochemical studies suggest that the concentration of dopamine evoked by reward predictive cues corresponds to the magnitude of reward predicted by the cue (Bayer and Glimcher, 2005; Day et al., 2010; Day et al., 2011; Enomoto et al., 2011; Lak et al., 2014; Schelp et al., 2017; Stauffer et al., 2014; Tobler et al., 2005). Imaging studies reveal similar observations in human subjects and further refine the output regions involved.