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Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance
Mounting evidence indicates that resting-state EEG activity is related to various cognitive functions. To trace physiological underpinnings of this relationship, we investigated EEG and behavioral performance of 36 healthy adults recorded at rest and during visual attention tasks: visual search and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081192/ https://www.ncbi.nlm.nih.gov/pubmed/32193502 http://dx.doi.org/10.1038/s41598-020-61866-7 |
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author | Rogala, Jacek Kublik, Ewa Krauz, Rafał Wróbel, Andrzej |
author_facet | Rogala, Jacek Kublik, Ewa Krauz, Rafał Wróbel, Andrzej |
author_sort | Rogala, Jacek |
collection | PubMed |
description | Mounting evidence indicates that resting-state EEG activity is related to various cognitive functions. To trace physiological underpinnings of this relationship, we investigated EEG and behavioral performance of 36 healthy adults recorded at rest and during visual attention tasks: visual search and gun shooting. All measures were repeated two months later to determine stability of the results. Correlation analyses revealed that within the range of 2–45 Hz, at rest, beta-2 band power correlated with the strength of frontoparietal connectivity and behavioral performance in both sessions. Participants with lower global beta-2 resting-state power (gB2rest) showed weaker frontoparietal connectivity and greater capacity for its modifications, as indicated by changes in phase correlations of the EEG signals. At the same time shorter reaction times and improved shooting accuracy were found, in both test and retest, in participants with low gB2rest compared to higher gB2rest values. We posit that weak frontoparietal connectivity permits flexible network reconfigurations required for improved performance in everyday tasks. |
format | Online Article Text |
id | pubmed-7081192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70811922020-03-23 Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance Rogala, Jacek Kublik, Ewa Krauz, Rafał Wróbel, Andrzej Sci Rep Article Mounting evidence indicates that resting-state EEG activity is related to various cognitive functions. To trace physiological underpinnings of this relationship, we investigated EEG and behavioral performance of 36 healthy adults recorded at rest and during visual attention tasks: visual search and gun shooting. All measures were repeated two months later to determine stability of the results. Correlation analyses revealed that within the range of 2–45 Hz, at rest, beta-2 band power correlated with the strength of frontoparietal connectivity and behavioral performance in both sessions. Participants with lower global beta-2 resting-state power (gB2rest) showed weaker frontoparietal connectivity and greater capacity for its modifications, as indicated by changes in phase correlations of the EEG signals. At the same time shorter reaction times and improved shooting accuracy were found, in both test and retest, in participants with low gB2rest compared to higher gB2rest values. We posit that weak frontoparietal connectivity permits flexible network reconfigurations required for improved performance in everyday tasks. Nature Publishing Group UK 2020-03-19 /pmc/articles/PMC7081192/ /pubmed/32193502 http://dx.doi.org/10.1038/s41598-020-61866-7 Text en © The Author(s) 2020 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 Rogala, Jacek Kublik, Ewa Krauz, Rafał Wróbel, Andrzej Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title | Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title_full | Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title_fullStr | Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title_full_unstemmed | Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title_short | Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance |
title_sort | resting-state eeg activity predicts frontoparietal network reconfiguration and improved attentional performance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081192/ https://www.ncbi.nlm.nih.gov/pubmed/32193502 http://dx.doi.org/10.1038/s41598-020-61866-7 |
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