Evidence map›Paper›PMID 33589626›Full record

ArticleNature communications2021

Expectations of reward and efficacy guide cognitive control allocation.

R Frömer, H Lin, C K Dean Wolf, M Inzlicht, A Shenhav

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
–field-weighted citation impact
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

94 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Effort Mobilization and Lapses of Sustained Attention.Cognitive, affective & behavioral neuroscience · 2022
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. How Outcome Framing and Feedback Influence Decision Patterns over Time.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Contributions of the basolateral amygdala and nucleus accumbens to sustaining not just initiating cognitive effort.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Integrating arousal and valence approaches to advance cognitive effort research.Cognitive, affective & behavioral neuroscience · 2026
    Review
  14. Review
  15. Article
  16. Article
  17. Understanding human metacontrol and its pathologies using deep neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Article
  19. Article
  20. Article

34 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

5 authors.

R Frömer *Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA. romy_fromer@brown.edu.ORCID 0000-0002-9468-4014
H Lin *Department of Psychology, University of Toronto, Toronto, Canada. hauselin@gmail.com.ORCID 0000-0003-4590-7039
C K Dean WolfCognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA.
M InzlichtDepartment of Psychology, University of Toronto, Toronto, Canada.
A ShenhavCognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA.

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI SANES, JEROME N · 2013 to 2022
$22.9M
NIGMS NIH HHS P20 GM103645
6 · The paper itself

Abstract

The amount of mental effort we invest in a task is influenced by the reward we can expect if we perform that task well. However, some of the rewards that have the greatest potential for driving these efforts are partly determined by factors beyond one's control. In such cases, effort has more limited efficacy for obtaining rewards. According to the Expected Value of Control theory, people integrate information about the expected reward and efficacy of task performance to determine the expected value of control, and then adjust their control allocation (i.e., mental effort) accordingly. Here we test this theory's key behavioral and neural predictions. We show that participants invest more cognitive control when this control is more rewarding and more efficacious, and that these incentive components separately modulate EEG signatures of incentive evaluation and proactive control allocation. Our findings support the prediction that people combine expectations of reward and efficacy to determine how much effort to invest.

Indexed as

RewardSelf EfficacyAdolescentAdultCognitionCuesFemaleHumansMaleMotivationTask Performance and Analysis

Identifiers

PMID33589626
PMCPMC7884731

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.