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Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning
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 structur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603188/ https://www.ncbi.nlm.nih.gov/pubmed/31263168 http://dx.doi.org/10.1038/s41598-019-45978-3 |
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author | Puszta, András Pertich, Ákos Katona, Xénia Bodosi, Balázs Nyujtó, Diána Giricz, Zsófia Eördegh, Gabriella Nagy, Attila |
author_facet | Puszta, András Pertich, Ákos Katona, Xénia Bodosi, Balázs Nyujtó, Diána Giricz, Zsófia Eördegh, Gabriella Nagy, Attila |
author_sort | Puszta, András |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6603188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66031882019-07-14 Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning Puszta, András Pertich, Ákos Katona, Xénia Bodosi, Balázs Nyujtó, Diána Giricz, Zsófia Eördegh, Gabriella Nagy, Attila Sci Rep Article 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. Nature Publishing Group UK 2019-07-01 /pmc/articles/PMC6603188/ /pubmed/31263168 http://dx.doi.org/10.1038/s41598-019-45978-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Puszta, András Pertich, Ákos Katona, Xénia Bodosi, Balázs Nyujtó, Diána Giricz, Zsófia Eördegh, Gabriella Nagy, Attila Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title | Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title_full | Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title_fullStr | Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title_full_unstemmed | Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title_short | Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning |
title_sort | power-spectra and cross-frequency coupling changes in visual and audio-visual acquired equivalence learning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603188/ https://www.ncbi.nlm.nih.gov/pubmed/31263168 http://dx.doi.org/10.1038/s41598-019-45978-3 |
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