Evidence map›Paper›PMID 38912291›Full record

ArticleNeuroscience of consciousness2024

Tracking rivalry with neural rhythms: multivariate SSVEPs reveal perception during binocular rivalry.

Ruben E Laukkonen, Evan Lewis-Healey, Luca Ghigliotti, Nasim Daneshtalab, Jet Lageman, Heleen A Slagter

Abstract read
In one paragraph

Article in Neuroscience of consciousness, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ruben E LaukkonenHealth, Southern Cross University, Gold Coast Airport, Terminal Dr, Bilinga, Gold Coast, QLD 4225, Australia.ORCID https://orcid.org/0000-0001-8848-9231
Evan Lewis-HealeyCognitive Psychology, Vrije Universiteit, De Boelelaan 1117, Amsterdam, North Holland 1081 HV, Netherlands.
Luca GhigliottiCognitive Psychology, Vrije Universiteit, De Boelelaan 1117, Amsterdam, North Holland 1081 HV, Netherlands.
Nasim DaneshtalabCognitive Psychology, Vrije Universiteit, De Boelelaan 1117, Amsterdam, North Holland 1081 HV, Netherlands.
Jet LagemanCognitive Psychology, Vrije Universiteit, De Boelelaan 1117, Amsterdam, North Holland 1081 HV, Netherlands.
Heleen A SlagterCognitive Psychology, Vrije Universiteit, De Boelelaan 1117, Amsterdam, North Holland 1081 HV, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contents of awareness can substantially change without any modification to the external world. Such effects are exemplified in binocular rivalry, where a different stimulus is presented to each eye causing instability in perception. This phenomenon has made binocular rivalry a quintessential method for studying consciousness and the necessary neural correlates for awareness. However, to conduct research on binocular rivalry usually requires self-reports of changes in percept, which can produce confounds and exclude states and contexts where self-reports are undesirable or unreliable. Here, we use a novel multivariate spatial filter dubbed 'Rhythmic Entrainment Source Separation' to extract steady state visual evoked potentials from electroencephalography data. We show that this method can be used to quantify the perceptual switch-rate of participants during binocular rivalry and therefore may be valuable in experimental contexts where self-reports are methodologically problematic or impossible, particularly as an adjunct. Our analyses also reveal that 'no-report' conditions may affect the deployment of attention and thereby neural correlates, another important consideration for consciousness research.

Indexed as

binocular rivalryconsciousnessEEGno-reportSSVEP

Identifiers

PMID38912291
PMCPMC11192868

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.