Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance

Abstract 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 se...

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Autores principales:	Jacek Rogala, Ewa Kublik, Rafał Krauz, Andrzej Wróbel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f75fffffd9114650b1e20a440021c5db
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spelling	oai:doaj.org-article:f75fffffd9114650b1e20a440021c5db2021-12-02T16:30:58ZResting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance10.1038/s41598-020-61866-72045-2322https://doaj.org/article/f75fffffd9114650b1e20a440021c5db2020-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-61866-7https://doaj.org/toc/2045-2322Abstract 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.Jacek RogalaEwa KublikRafał KrauzAndrzej WróbelNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jacek Rogala Ewa Kublik Rafał Krauz Andrzej Wróbel Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance
description	Abstract 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	article
author	Jacek Rogala Ewa Kublik Rafał Krauz Andrzej Wróbel
author_facet	Jacek Rogala Ewa Kublik Rafał Krauz Andrzej Wróbel
author_sort	Jacek Rogala
title	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_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_sort	resting-state eeg activity predicts frontoparietal network reconfiguration and improved attentional performance
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f75fffffd9114650b1e20a440021c5db
work_keys_str_mv	AT jacekrogala restingstateeegactivitypredictsfrontoparietalnetworkreconfigurationandimprovedattentionalperformance AT ewakublik restingstateeegactivitypredictsfrontoparietalnetworkreconfigurationandimprovedattentionalperformance AT rafałkrauz restingstateeegactivitypredictsfrontoparietalnetworkreconfigurationandimprovedattentionalperformance AT andrzejwrobel restingstateeegactivitypredictsfrontoparietalnetworkreconfigurationandimprovedattentionalperformance
_version_	1718383909463392256

Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance

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