Evidence map›Paper›PMID 40600519›Full record

ArticlePsychophysiology2025

Early and Late ERP Correlates of Conscivousness- A Direct Comparison Between Visual and Auditory Modalities.

Kinga Ciupińska, Marcin Koculak, Michał Bola, Michał Wierzchoń

Abstract readComparative Study
In one paragraph

Article in Psychophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Kinga CiupińskaConsciousness Lab, Institute of Psychology, Jagiellonian University, Krakow, Poland.ORCID 0000-0002-9909-4400
Marcin KoculakConsciousness Lab, Institute of Psychology, Jagiellonian University, Krakow, Poland.
Michał BolaCentre for Brain Research, Jagiellonian University, Krakow, Poland.
Michał WierzchońConsciousness Lab, Institute of Psychology, Jagiellonian University, Krakow, Poland.

Funding

National Science Centre Poland 2019/35/N/HS6/02150
6 · The paper itself

Abstract

The majority of previous research on neural correlates of consciousness (NCC) have used the visual system as a model. However, to what extent reported findings generalize to other sensory modalities has not been comprehensively investigated. To fill this gap we directly compared visual and auditory NCCs by testing the same group of participants with two analogous procedures. Participants were presented with near-threshold visual and auditory stimuli followed by a detection task and Perceptual Awareness Scale (PAS). On the behavioral level, as expected from visual awareness studies, PAS ratings were highly correlated with accuracy in the detection task. Analysis of EEG data revealed that analogous ERP components-early visual or auditory awareness negativity (VAN and AAN) were related to perceptual awareness, but regarding late positivity (LP), it was related to perceptual awareness only in the visual modality. Further, we found that VAN and visual LP exhibited shorter latencies than respective auditory components suggesting earlier access of visual stimuli to consciousness, compared to auditory ones. Finally, neither estimated perceptual thresholds nor amplitudes and latencies of the awareness-related ERPs components were correlated between modalities, suggesting a lack of a close link between visual and auditory perceptual mechanisms. Therefore, the observed differences between visual and auditory modalities indicate the investigated NCC are rather modality-specific, and thus that neither of the proposed measures track consciousness independently to the content-related processing.

Indexed as

Auditory PerceptionAwarenessConsciousnessEvoked PotentialsEvoked Potentials, AuditoryVisual PerceptionAcoustic StimulationAdultElectroencephalographyFemaleHumansMalePhotic StimulationReaction TimeYoung Adultauditory awareness negativityawarenesslate positivityperceptionvisual awareness negativity

Identifiers

PMID40600519
PMCPMC12217428

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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.