Evidence map›Paper›PMID 32367138›Full record

ArticleSocial cognitive and affective neuroscience2021

Conducting decoded neurofeedback studies.

Vincent Taschereau-Dumouchel, Aurelio Cortese, Hakwan Lau, Mitsuo Kawato

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Peer-guided movie neurofeedback to facilitate recovery in opioid use disorder.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Review
  4. Review
  5. Neurofeedback in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Decoding and modifying dynamic attentional bias in gaming disorder.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  10. Regulation of craving for real-time fMRI neurofeedback based on individual classification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  11. Modulating subjective pain perception with decoded Montreal Neurological Institute-space neurofeedback: a proof-of-concept study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  12. Article
  13. Article
  14. Real-time fMRI neurofeedback: the promising potential of brain-training technology to advance clinical neuroscience.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

4 authors.

Vincent Taschereau-DumouchelDepartment of Decoded Neurofeedback, ATR Computational Neuroscience Laboratories, Kyoto 619-0288, Japan.
Aurelio CorteseDepartment of Decoded Neurofeedback, ATR Computational Neuroscience Laboratories, Kyoto 619-0288, Japan.
Hakwan LauDepartment of Decoded Neurofeedback, ATR Computational Neuroscience Laboratories, Kyoto 619-0288, Japan.
Mitsuo KawatoDepartment of Decoded Neurofeedback, ATR Computational Neuroscience Laboratories, Kyoto 619-0288, Japan.

Funding

Treating Phobia with Multivoxel Neuro-reinforcementR61MH113772 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CRASKE, MICHELLE G · 2018 to 2019
$932k
CIHRNIMH NIH HHS R61 MH113772
6 · The paper itself

Abstract

Closed-loop neurofeedback has sparked great interest since its inception in the late 1960s. However, the field has historically faced various methodological challenges. Decoded fMRI neurofeedback may provide solutions to some of these problems. Notably, thanks to the recent advancements of machine learning approaches, it is now possible to target unconscious occurrences of specific multivoxel representations. In this tools of the trade paper, we discuss how to implement these interventions in rigorous double-blind placebo-controlled experiments. We aim to provide a step-by-step guide to address some of the most common methodological and analytical considerations. We also discuss tools that can be used to facilitate the implementation of new experiments. We hope that this will encourage more researchers to try out this powerful new intervention method.

Indexed as

NeurofeedbackHumansMachine LearningMagnetic Resonance Imagingdecoded neurofeedbackmultivoxel pattern analysisreal-time functional magnetic resonance imaging

Identifiers

PMID32367138
PMCPMC8343564

What OpenQuestion holds

Textmetadata
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.