Evidence map›Paper›PMID 35452080›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Rapid invisible frequency tagging (RIFT): a promising technique to study neural and cognitive processing using naturalistic paradigms.

Noor Seijdel, Tom R Marshall, Linda Drijvers

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  5. Predictive Distractor Processing Relies on Integrated Proactive and Reactive Attentional Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  11. Attention Drives Visual Processing and Audiovisual Integration During Multimodal Communication.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Frequency tagging of spatial attention using periliminal flickers.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Statistical Learning of Distractor Suppression Downregulates Prestimulus Neural Excitability in Early Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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  18. Article
  19. 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

3 authors.

Noor SeijdelMax Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands.ORCID 0000-0002-8785-8135
Tom R MarshallWellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX3 9DU, UK.ORCID 0000-0001-6628-0218
Linda DrijversMax Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands.ORCID 0000-0001-9154-7033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequency tagging has been successfully used to investigate selective stimulus processing in electroencephalography (EEG) or magnetoencephalography (MEG) studies. Recently, new projectors have been developed that allow for frequency tagging at higher frequencies (>60 Hz). This technique, rapid invisible frequency tagging (RIFT), provides two crucial advantages over low-frequency tagging as (i) it leaves low-frequency oscillations unperturbed, and thus open for investigation, and ii) it can render the tagging invisible, resulting in more naturalistic paradigms and a lack of participant awareness. The development of this technique has far-reaching implications as oscillations involved in cognitive processes can be investigated, and potentially manipulated, in a more naturalistic manner.

Indexed as

ElectroencephalographyMagnetoencephalographyCognitionHumanselectroencephalographyfrequency taggingmagnetoencephalographyneural oscillationssensory processing

Identifiers

PMID35452080
PMCPMC9977367

What OpenQuestion holds

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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.