Using fMRI to study reward processing in humans: past, present, and future
Open accessAbstract
Functional magnetic resonance imaging (fMRI) is a noninvasive tool used to probe cognitive and affective processes. Although fMRI provides indirect measures of neural activity, the advent of fMRI has allowed for1) the corroboration of significant animal findings in the human brain, and2) the expansion of models to include more common human attributes that inform behavior. In this review, we briefly consider the neural basis of the blood oxygenation level dependent signal to set up a discussion of how fMRI studies have applied it in examining cognitive models in humans and the promise of using fMRI to advance such models. Specifically, we illustrate the contribution that fMRI has made to the study of reward processing, focusing on the role of the striatum in encoding reward-related learning signals that drive anticipatory and consummatory behaviors. For instance, we discuss how fMRI can be used to link neural signals (e.g., striatal responses to rewards) to individual differences in behavior and traits. While this functional segregation approach has been constructive to our understanding of reward-related functions, many fMRI studies have also benefitted from a functional integration approach that takes into account how interconnected regions (e.g., corticostriatal circuits) contribute to reward processing. We contend that future work using fMRI will profit from using a multimodal approach, such as combining fMRI with noninvasive brain stimulation tools (e.g., transcranial electrical stimulation), that can identify causal mechanisms underlying reward processing. Consequently, advancements in implementing fMRI will promise new translational opportunities to inform our understanding of psychopathologies.
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fMRI studies find greater brain activation when reward is anticipated and received.
“In line with reward circuitry, studies utilizing fMRI to measure reward processing revealed increased brain activation signals in response to the anticipation and receipt of reward (Wang et al., 2016).”
From The effects of early life stress on reward processing (2018) · cites this paper as Wang et al., 2016
These tasks each include an anticipation phase and a delivery phase; brain activity during these phases is used to infer motivation and reward responsiveness, respectively.
“Both tasks have two phases, an anticipation phase, in which the subject is given information about the potential for reward, and a delivery phase, in which the reward is received. By measuring brain activity during the anticipation and delivery phases, a motivational component and a reward responsiveness component can be inferred, respectively (Knutson et al., 2000; Lutz and Widmer, 2014; Wang et”
From The effects of early life stress on reward processing (2018) · cites this paper as Wang et al., 2016
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Self-citation
- Authors
- Wang, K. S., Smith, D. V., & Delgado, M. R.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Delgado, Mauricio R.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2016-03-01
- Volume
- 115
- Issue
- 3
- Pages
- 1664-1678
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- PMC
- PMC4808130
- OpenAlex
- W2228455888
- Cited by
- 105
- References
- 292
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 10 · 2020: 13 · 2019: 16 · 2018: 12 · 2017: 4 · 2016: 3
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- HHS | NIH | National Institute on Drug Abuse (NIDA) (R01-DA027764)
- HHS | NIH | National Institute of Mental Health (NIMH) (F32-MH107175)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- reward processing, striatum, BOLD signal, individual differences, functional integration, corticostriatal circuits, transcranial electrical stimulation, causal mechanisms, psychopathology, translational neuroscience
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Reward
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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