Review of Wanat et al.Adaptive choice relies on valuation of commodities and behaviors in terms of their rewarding properties and cost of acquisition. The ability to monitor electrical and chemical signals within the brain while animals behave and respond to their environment offers a unique opportunity for understanding how the brain assesses value in terms of cost and expected return during decision making processes. Indeed, extensive research monitoring the electrical activity of dopamine (DA) neurons in awake monkeys during Pavlovian conditioning tasks implicates mesolimbic DA transmission in generating teaching signals involved in reward prediction (Schultz, 2010). Specifically, the firing of midbrain DA neurons appears to encode reward prediction errors: a better-thanexpected reward (positive prediction error) increases the firing rate, a fully predicted reward elicits no change, and a worse-than-expected reward (negative prediction error) reduces firing rate (Schultz et al., 1997). Moreover, DA neurons respond proportionally to cues that indicate the probability, magnitude, and delay of future rewards, with expected, large, and immediate rewards eliciting the greatest response (Schultz, 2010). Thus, DA neurons appear to encode the subjective value of anticipated rewards in response to a predictive stimulus.In addition to reward prediction, DA acting in the nucleus accumbens is implicated in assessing the cost of seeking rewards. More specifically, interfering with accumbens DA transmission through pharmacological or surgical manipulations makes rats appear less willing to trade high levels of work (i.e., cost) for reward (Salamone et al., 2009). However, these techniques generally lack the temporal precision to elucidate how DA neurons dynamically signal expected reward magnitude and future costs, both of which influence the subjective valuation of rewards and behavior. Real-time measurements of DA neurotransmission, on the other hand, offer the ability to relate DA transmission to these specific aspects of the decision-making process.In a recent issue of The Journal of Neuroscience, Wanat et al. (2010) investigated how the DA system encodes rewards associated with escalating costs by monitoring DA concentrations in rat nucleus accumbens with fast-scan cyclic voltammetry while the animals performed instrumental tasks (Wanat et al., 2010). Rats were trained to press a lever to receive a reward on both a fixed ratio (FR)4 and a progressive ratio (PR) schedule. The response cost of the reward was always four lever presses on the FR4 schedule, whereas it gradually increased throughout each session on the PR schedule. For both schedules, the same cue light signaled the availability of reward, which was always a single food pellet. Thus, response cost was the only difference between groups. Nucleus accumbens DA concentrations were assessed during the periods immediately following cue onset and reward delivery.As expected, rats completed all trials in the low effort FR4 sessions. An analysis of the last, uncompl...