Evidence map›Paper›PMID 31892542›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Reward does not facilitate visual perceptual learning until sleep occurs.

Masako Tamaki, Aaron V Berard, Tyler Barnes-Diana, Jesse Siegel, Takeo Watanabe, Yuka Sasaki

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Listeners do not tune in to more rewarding voices.Attention, perception & psychophysics · 2026
    Article
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  6. Review
  7. Article
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  10. Priority coding in the visual system.Nature reviews. Neuroscience · 2022
    Review
  11. Consolidation of Sleep-Dependent Appetitive Memory Is Mediated by a Sweet-Sensing Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  12. Article
  13. Sleep-Dependent Facilitation of Visual Perceptual Learning Is Consistent with a Learning-Dependent Model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  14. Article
  15. Article
  16. Review
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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

6 authors.

Masako TamakiDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.ORCID 0000-0001-7621-8039
Aaron V BerardDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.
Tyler Barnes-DianaDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.
Jesse SiegelDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.
Takeo WatanabeDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.ORCID 0000-0002-4562-5376
Yuka SasakiDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912 yuka_sasaki@brown.edu.

Funding

SYSTEMATIC PSYCHOPHYSICAL INVESTIGATION OF VISUAL LEARNINGR01EY019466 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2009 to 2026
$6.6M
Comprehensive frameworks of perceptual learningR01EY027841 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2018 to 2026
$3.2M
Interdisciplinary Vision Training ProgramT32EY018080 · NEI · BROWN UNIVERSITY · PI PARADISO, MICHAEL A · 2007 to 2021
$1.9M
The first night effect of sleep and visual plasticityR21EY028329 · NEI · BROWN UNIVERSITY · PI SASAKI, YUKA · 2018 to 2019
$447k
NEI NIH HHS R01 EY019466NEI NIH HHS R01 EY027841NEI NIH HHS R21 EY028329NEI NIH HHS T32 EY018080
6 · The paper itself

Abstract

A growing body of evidence indicates that visual perceptual learning (VPL) is enhanced by reward provided during training. Another line of studies has shown that sleep following training also plays a role in facilitating VPL, an effect known as the offline performance gain of VPL. However, whether the effects of reward and sleep interact on VPL remains unclear. Here, we show that reward interacts with sleep to facilitate offline performance gains of VPL. First, we demonstrated a significantly larger offline performance gain over a 12-h interval including sleep in a reward group than that in a no-reward group. However, the offline performance gains over the 12-h interval without sleep were not significantly different with or without reward during training, indicating a crucial interaction between reward and sleep in VPL. Next, we tested whether neural activations during posttraining sleep were modulated after reward was provided during training. Reward provided during training enhanced rapid eye movement (REM) sleep time, increased oscillatory activities for reward processing in the prefrontal region during REM sleep, and inhibited neural activation in the untrained region in early visual areas in non-rapid eye movement (NREM) and REM sleep. The offline performance gains were significantly correlated with oscillatory activities of visual processing during NREM sleep and reward processing during REM sleep in the reward group but not in the no-reward group. These results suggest that reward provided during training becomes effective during sleep, with excited reward processing sending inhibitory signals to suppress noise in visual processing, resulting in larger offline performance gains over sleep.

Indexed as

RewardAdultFemaleHumansLearningMalePsychomotor PerformanceSleepSleep, REMSleep StagesSpatial LearningVisual PerceptionYoung Adultperceptual learningREM sleepreward

Identifiers

PMID31892542
PMCPMC6969510

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.