Evidence map›Paper›PMID 36228894›Full record

ArticleJournal of neuroscience methods2022

Application of rapid invisible frequency tagging for brain computer interfaces.

Marion Brickwedde, Yulia Bezsudnova, Anna Kowalczyk, Ole Jensen, Alexander Zhigalov

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Frequency tagging of spatial attention using periliminal flickers.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
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  11. 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

5 authors at 2 institutions in 2 countries.

Marion BrickweddeCentre for Human Brain Health, University of Birmingham, United Kingdom; Charité, Department of Child and Adolescent Psychiatry, Charité-Universitätsmedizin, Berlin, Germany. Electronic address: m.brickwedde@bham.ac.uk.
Yulia BezsudnovaCentre for Human Brain Health, University of Birmingham, United Kingdom. Electronic address: yxb968@student.bham.ac.uk.
Anna KowalczykCentre for Human Brain Health, University of Birmingham, United Kingdom. Electronic address: a.u.kowalczyk@bham.ac.uk.
Ole JensenCentre for Human Brain Health, University of Birmingham, United Kingdom. Electronic address: o.jensen@bham.ac.uk.
Alexander ZhigalovCentre for Human Brain Health, University of Birmingham, United Kingdom; Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, United Kingdom. Electronic address: a.zhigalov@bham.ac.uk.
University of Birmingham · GBCharité - Universitätsmedizin Berlin · DE

Funding

Biotechnology and Biological Sciences Research Council BB/R018723/1Wellcome Trust 207550Wellcome Trust 207550/Z/17/Z
6 · The paper itself

Abstract

backgroundBrain-computer interfaces (BCI) based on steady-state visual evoked potentials (SSVEPs/SSVEFs) are among the most commonly used BCI systems. They require participants to covertly attend to visual objects flickering at specified frequencies. The attended location is decoded online by analysing the power of neuronal responses at the flicker frequency. NEW

methodWe implemented a novel rapid invisible frequency-tagging technique, utilizing a state-of-the-art projector with refresh rates of up to 1440 Hz. We flickered the luminance of visual objects at 56 and 60 Hz, which was invisible to participants but produced strong neuronal responses measurable with magnetoencephalography (MEG). The direction of covert attention, decoded from frequency-tagging responses, was used to control an online BCI PONG game.

resultsOur results show that seven out of eight participants were able to play the pong game controlled by the frequency-tagging signal, with average accuracies exceeding 60 %. Importantly, participants were able to modulate the power of the frequency-tagging response within a 1-second interval, while only seven occipital sensors were required to reliably decode the neuronal response. COMPARISON WITH EXISTING

methodsIn contrast to existing SSVEP-based BCI systems, rapid frequency-tagging does not produce a visible flicker. This extends the time-period participants can use it without fatigue, by avoiding distracting visual input. Furthermore, higher frequencies increase the temporal resolution of decoding, resulting in higher communication rates.

conclusionUsing rapid invisible frequency-tagging opens new avenues for fundamental research and practical applications. In combination with novel optically pumped magnetometers (OPMs), it could facilitate the development of high-speed and mobile next-generation BCI systems.

Indexed as

Brain-Computer InterfacesEvoked Potentials, VisualElectroencephalographyHumansMagnetoencephalographyPhotic StimulationBrain-computer interfaceCovert attentionEye-trackingMagnetoencephalographyRapid-invisible frequency tagging

Identifiers

PMID36228894
PMCPMC7615063
OpenAlexW4304014866

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.