Dopamine is popularly called the brain’s “pleasure chemical.” The research says otherwise: it mainly encodes wanting, not liking. This article summarises four published findings — that anticipation rather than acquisition drives the reward response; that brain activity predicts a purchase before it is consciously decided; that self-control has a measurable relationship with sleep; and that post-purchase regret is a majority experience. Together they describe a system that is very good at making you want things, and comparatively indifferent to whether owning them makes you happy.
01Dopamine is not the pleasure chemical
The popular account is that dopamine is released when you enjoy something. Decades of work by Kent Berridge and Terry Robinson at the University of Michigan established that this is mistaken in an important way. Their incentive-salience theory separates two processes that everyday language treats as one: “wanting” — the motivational pull toward a reward — and “liking” — the actual pleasure of consuming it.[1]
These are not the same system. As Berridge and Robinson put it, “wanting” is generated by large and robust neural systems that include mesolimbic dopamine, whereas “liking” is mediated by smaller, more fragile systems and is not dependent on dopamine.[2] Suppressing dopamine in humans has been reported not to reduce the pleasure ratings of tasting delicious food.[2]
The brain has one system for wanting things and a different system for enjoying them. Only one of them is loud.
The practical consequence is uncomfortable. A system optimised for wanting can pull you toward a purchase with considerable force while remaining more or less silent on whether you will enjoy owning it. Wanting and liking can, and routinely do, come apart.
02The reward is the anticipation, not the object
Wolfram Schultz’s work on dopamine neurons established the mechanism now known as reward prediction error: dopamine neurons fire not in proportion to reward received, but in proportion to reward that is better than expected.[3][4] Critically, once a cue reliably predicts a reward, the dopamine response migrates backwards in time — away from the reward itself and onto the cue that predicts it.
Translated into shopping: the neurochemical event is not the parcel arriving. It is the moment you see the thing you want. The browsing, the adding to cart, the tracking notification — these are the cues, and the cues are where the response lives.
This also explains why uncertainty intensifies the effect. Reward uncertainty enhances incentive-salience attribution.[5] A guaranteed outcome is less neurologically interesting than an uncertain one — which is the operating principle behind flash sales, mystery boxes and limited drops.
03Your brain decides before you do
In 2007, Brian Knutson and colleagues at Stanford published what remains the reference imaging study of purchase decisions, in Neuron.[6] Twenty-six participants were given real money and placed in an fMRI scanner while completing the “Save Holdings Or Purchase” task: view a product, view its price, decide whether to buy.
Product preference activated the nucleus accumbens. Excessive prices activated the insula and deactivated the mesial prefrontal cortex — all prior to the purchase decision. Activity in each region independently predicted the subsequent purchase, above and beyond what participants said about their own preferences.[6]
The structure matters more than the anatomy. The nucleus accumbens signals desire. The insula signals the pain of paying. The medial prefrontal cortex weighs the two. Products producing high accumbens activity and low insula activity were bought; the reverse were refused.[6] The decision was legible in the scan before the participant made it.
Later whole-brain analyses replicated the core observation — that accumbens activation begins to predict purchase choices during product presentation, while medial prefrontal activation begins to predict them during price presentation.[7]
04Why it happens at night
The prefrontal cortex — the structure doing the deliberating in Knutson’s third region — is disproportionately affected by insufficient sleep.[8] Sleep-deprived individuals show reduced prefrontal activity, the region responsible for attention, impulse control, affect regulation and decision-making.[8]
A systematic review and meta-analysis of 61 independent studies quantified the relationship between sleep and self-control:
Sleep quality correlated with self-control at 0.26 between individuals (CI 0.21–0.31) and 0.35 within individuals (CI 0.24–0.45). Sleep duration correlated at 0.14 between (CI 0.07–0.21) and 0.20 within (CI 0.09–0.31).[8]
These are modest-to-moderate effects, and the authors are explicit that the causal pathway — likely via prefrontal activity — needs further investigation.[8] But the direction is consistent, and reinforced by neuroimaging: sleep loss impairs prefrontal functioning,[9] and changes in ventromedial prefrontal connectivity after sleep loss have been associated with increased risky decision-making.[10]
There is also evidence that sleep deprivation shifts behaviour from goal-directed control toward habitual control.[11] At midnight, in other words, you are running less of the system that asks “do I need this?” and more of the one that simply repeats what it did last time.
The wanting system does not get tired. The system that argues with it does.
Combine the three: anticipation drives the reward response, that response is measurable before you decide, and the structure moderating it is the one most degraded by a late hour. The 2 a.m. cart is not a character flaw. It is a predictable output.
05And why the morning feels the way it does
Post-purchase regret is formally understood as post-decision cognitive dissonance: the discomfort following a difficult choice between competing alternatives, sharpened by the fact that before the purchase you had every option including not buying, and afterwards you have far fewer.[12]
It is not a minority experience. In a Google/Ipsos poll of American consumers, respondents attributed regretted purchases most often to impulse purchasing (42%) and to already having too much (34%); smaller shares cited finding a lower price later (19%) or insufficient research (17%).[13] A separate survey of 2,000 US adults found 74% had experienced buyer’s remorse after an online purchase, most often because the item felt less valuable than expected (39%), went unused (34%), or simply cost too much (32%).[14]
Read against the neuroscience, the pattern is coherent rather than mysterious. The anticipatory system did its work at the moment of wanting. The pleasure system — smaller, more fragile, not dopamine-dependent — was never strongly engaged by the transaction at all. What arrives in the morning is the bill, minus the anticipation that justified it.
06What follows from this
The literature suggests something faintly absurd: if the reward is concentrated in the anticipation rather than the acquisition, then a large part of what people enjoy about shopping is available without the purchase.
The browsing is the good bit. The choosing is the good bit. The cart is the good bit. The charge is the part that produces the 42% impulse-regret statistic, and it is — neurologically speaking — the part contributing least to the experience.
This is not a prescription, and no single app resolves a system shaped by evolution and refined by an industry. But it is a reasonable observation, and it is the one Delulu Kart was built around: keep the anticipation, delete the transaction, and count what you kept.
References
- Berridge KC, Robinson TE. What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain Research Reviews. 1998;28(3):309–369.
- Berridge KC, Robinson TE. Liking, wanting, and the incentive-sensitization theory of addiction. American Psychologist. 2016;71(8):670–679.
- Schultz W. Predictive reward signal of dopamine neurons. Journal of Neurophysiology. 1998;80(1):1–27.
- Schultz W, Dayan P, Montague PR. A neural substrate of prediction and reward. Science. 1997;275(5306):1593–1599.
- Robinson TE, Berridge KC. The incentive-sensitization theory of addiction 30 years on. Annual Review of Psychology. 2025. annualreviews.org
- Knutson B, Rick S, Wimmer GE, Prelec D, Loewenstein G. Neural predictors of purchases. Neuron. 2007;53(1):147–156. doi:10.1016/j.neuron.2006.11.010 · PMID 17196537. pubmed.ncbi.nlm.nih.gov
- Grosenick L, Klingenberg B, Knutson B, Taylor JE. Whole-brain prediction analysis with GraphNet. arXiv:1110.4139. arxiv.org
- Sleep and self-control: a systematic review and meta-analysis. Sleep Medicine Reviews. 2021. sciencedirect.com
- Interactions between sleep habits and self-control. Frontiers in Human Neuroscience. 2015;9:284. frontiersin.org
- Examining the effects of sleep deprivation on decision-making: a scoping review. Behavioral Sciences. 2025;15(6):823. mdpi.com
- Sleep deprivation promotes habitual control over goal-directed control. Journal of Neuroscience. 2017;37(49):11979. jneurosci.org
- Buyer’s remorse and post-decision dissonance — overview. Encyclopaedic summary
- Consumer survey. Google/Ipsos poll on purchasing and buyer’s remorse, June 2023. ipsos.com
- Consumer survey. OnePoll survey of 2,000 US adults commissioned by Slickdeals, March 2022. prnewswire.com
We built an app out of this
Delulu Kart keeps the browsing, the choosing and the checkout — and deletes the charge. Then it counts what you didn’t spend.
See what that looks like