Evidence map›Paper›PMID 26740530›Full record

ReviewJournal of neurophysiology2016

Using fMRI to study reward processing in humans: past, present, and future.

Kainan S Wang, David V Smith, Mauricio R Delgado

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. The acute effects of nicotine on corticostriatal responses to distinct phases of reward processing.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Trial
  8. Article
  9. Article
  10. Article
  11. Prolonged grief disorder in later life: advancing our understanding of biopsychosocial mechanisms to guide future personalized interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kainan S WangCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey; and.
David V SmithDepartment of Psychology, Rutgers University, Newark, New Jersey.
Mauricio R DelgadoCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey; and Department of Psychology, Rutgers University, Newark, New Jersey delgado@psychology.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Neural mechanisms of avoidance learning and active coping via emotion regulationR01DA027764 · NIDA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI DELGADO, MAURICIO R. · 2009 to 2016
$2.2M
Parsing Reward: Identifying Distinct Neural Pathways for Specific Reward PropertiesF32MH107175 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI SMITH, DAVID VICTOR · 2015 to 2016
$100k
NIDA NIH HHS R01-DA027764NIMH NIH HHS F32-MH107175
6 · The paper itself

Abstract

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.

Indexed as

RewardBrainBrain MappingHumansMagnetic Resonance Imagingbrain stimulationcorticostriatal projectionsnucleus accumbensreinforcementstriatum

Identifiers

PMID26740530
PMCPMC4808130
OpenAlexW2228455888

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.