Evidence map›Paper›PMID 31263168›Full record

ArticleScientific reports2019

Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning.

András Puszta, Ákos Pertich, Xénia Katona, Balázs Bodosi, Diána Nyujtó, Zsófia Giricz, Gabriella Eördegh, Attila Nagy

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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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

8 citing papers in PubMed.

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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

8 authors.

András PusztaDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary. puszta.andris@gmail.com.ORCID http://orcid.org/0000-0002-8438-4894
Ákos PertichDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.
Xénia KatonaDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.
Balázs BodosiDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.
Diána NyujtóDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.
Zsófia GiriczDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.
Gabriella EördeghDepartment of Oral Biology and Experimental Dental Research, Faculty of Dentistry, University of Szeged, Tisza Lajos krt. 64, Szeged, Hungary.
Attila NagyDepartment of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary. nagy.attila.1@med.u-szeged.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The three phases of the applied acquired equivalence learning test, i.e. acquisition, retrieval and generalization, investigate the capabilities of humans in associative learning, working memory load and rule-transfer, respectively. Earlier findings denoted the role of different subcortical structures and cortical regions in the visual test. However, there is a lack of information about how multimodal cues modify the EEG-patterns during acquired equivalence learning. To test this we have recorded EEG from 18 healthy volunteers and analyzed the power spectra and the strength of cross-frequency coupling, comparing a unimodal visual-guided and a bimodal, audio-visual-guided paradigm. We found that the changes in the power of the different frequency band oscillations were more critical during the visual paradigm and they showed less synchronized activation compared to the audio-visual paradigm. These findings indicate that multimodal cues require less prominent, but more synchronized cortical contribution, which might be a possible biomarker of forming multimodal associations.

Indexed as

Association LearningAdolescentAdultAuditory PerceptionBrainCuesElectroencephalographyFemaleHumansMaleMemory, Short-TermPhotic StimulationVisual PerceptionYoung Adult

Identifiers

PMID31263168
PMCPMC6603188

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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.