Evidence map›Paper›PMID 30862731›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task.

Josef Faller, Jennifer Cummings, Sameer Saproo, Paul Sajda

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Neural and autonomic predictors of future listening errors.bioRxiv : the preprint server for biology · 2026
    Article
  5. [Research on auditory neurofeedback technology and its multi-disciplinary applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Review
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  17. Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Josef FallerDepartment of Biomedical Engineering, Columbia University, New York, NY 10027; josef.faller@gmail.com psajda@columbia.edu.
Jennifer CummingsDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Sameer SaprooDepartment of Biomedical Engineering, Columbia University, New York, NY 10027.
Paul SajdaDepartment of Biomedical Engineering, Columbia University, New York, NY 10027; josef.faller@gmail.com psajda@columbia.edu.ORCID 0000-0002-9738-1342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use online neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance. Specifically, we use a brain-computer interface (BCI) that uses information in the EEG to generate a neurofeedback signal that dynamically adjusts an individual's arousal state when they are engaged in a boundary-avoidance task (BAT). The BAT is a demanding sensory-motor task paradigm that we implement as an aerial navigation task in virtual reality and which creates cognitive conditions that escalate arousal and quickly results in task failure (e.g., missing or crashing into the boundary). We demonstrate that task performance, measured as time and distance over which the subject can navigate before failure, is significantly increased when veridical neurofeedback is provided. Simultaneous measurements of pupil dilation and heart-rate variability show that the neurofeedback indeed reduces arousal. Our work demonstrates a BCI system that uses online neurofeedback to shift arousal state and increase task performance in accordance with the Yerkes-Dodson law.

Indexed as

AdultArousalBrain-Computer InterfacesElectroencephalographyFemaleHeart RateHumansMaleNeurofeedbackNew York CityPsychomotor PerformancePupil DisordersTask Performance and AnalysisYoung Adultboundary-avoidance taskelectroencephalographyhuman performanceneurofeedbackYerkes and Dodson law

Identifiers

PMID30862731
PMCPMC6442591

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.