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High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity
Despite growing evidence that high creativity leads to mental well-being in older individuals, the neurophysiological bases of creativity remain elusive. Creativity reportedly involves multiple brain areas and their functional interconnections. In particular, functional magnetic resonance imaging (f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642763/ https://www.ncbi.nlm.nih.gov/pubmed/33192416 http://dx.doi.org/10.3389/fnhum.2020.583049 |
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author | Nobukawa, Sou Yamanishi, Teruya Ueno, Kanji Mizukami, Kimiko Nishimura, Haruhiko Takahashi, Tetsuya |
author_facet | Nobukawa, Sou Yamanishi, Teruya Ueno, Kanji Mizukami, Kimiko Nishimura, Haruhiko Takahashi, Tetsuya |
author_sort | Nobukawa, Sou |
collection | PubMed |
description | Despite growing evidence that high creativity leads to mental well-being in older individuals, the neurophysiological bases of creativity remain elusive. Creativity reportedly involves multiple brain areas and their functional interconnections. In particular, functional magnetic resonance imaging (fMRI) is used to investigate the role of patterns of functional connectivity between the default network and other networks in creative activity. These interactions among networks play the role of integrating various neural processes to support creative activity and involve attention, cognitive control, and memory. The electroencephalogram (EEG) enables researchers to capture a pattern of band-specific functional connectivity, as well as moment-to-moment dynamics of brain activity; this can be accomplished even in the resting-state by exploiting the excellent temporal resolution of the EEG. Furthermore, the recent advent of functional connectivity analysis in EEG studies has focused on the phase-difference variable because of its fine spatio-temporal resolution. Therefore, we hypothesized that the combining method of EEG signals having high-temporal resolution and the phase synchronization analysis having high-spatio-temporal resolutions brings a new insight of functional connectivity regarding high creative activity of older participants. In this study, we examined the resting-state EEG signal in 20 healthy older participants and estimated functional connectivities using the phase lag index (PLI), which evaluates the phase synchronization of EEG signals. Individual creativity was assessed using the S-A creativity test in a separate session before the EEG recording. In the analysis of associations of EEG measures with the S-A test scores, the covariate effect of the intelligence quotient was evaluated. As a result, higher individual S-A scores were significantly associated with higher node degrees, defined as the average PLI of a node (electrode) across all links with the remaining nodes, across all nodes at the alpha band. A conventional power spectrum analysis revealed no significant association with S-A scores in any frequency band. Older participants with high creativity exhibited high functional connectivity even in the resting-state, irrespective of intelligence quotient, which supports the theory that creativity entails widespread brain connectivity. Thus, PLIs derived from EEG data may provide new insights into the relationship between functional connectivity and creativity in healthy older people. |
format | Online Article Text |
id | pubmed-7642763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76427632020-11-13 High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity Nobukawa, Sou Yamanishi, Teruya Ueno, Kanji Mizukami, Kimiko Nishimura, Haruhiko Takahashi, Tetsuya Front Hum Neurosci Human Neuroscience Despite growing evidence that high creativity leads to mental well-being in older individuals, the neurophysiological bases of creativity remain elusive. Creativity reportedly involves multiple brain areas and their functional interconnections. In particular, functional magnetic resonance imaging (fMRI) is used to investigate the role of patterns of functional connectivity between the default network and other networks in creative activity. These interactions among networks play the role of integrating various neural processes to support creative activity and involve attention, cognitive control, and memory. The electroencephalogram (EEG) enables researchers to capture a pattern of band-specific functional connectivity, as well as moment-to-moment dynamics of brain activity; this can be accomplished even in the resting-state by exploiting the excellent temporal resolution of the EEG. Furthermore, the recent advent of functional connectivity analysis in EEG studies has focused on the phase-difference variable because of its fine spatio-temporal resolution. Therefore, we hypothesized that the combining method of EEG signals having high-temporal resolution and the phase synchronization analysis having high-spatio-temporal resolutions brings a new insight of functional connectivity regarding high creative activity of older participants. In this study, we examined the resting-state EEG signal in 20 healthy older participants and estimated functional connectivities using the phase lag index (PLI), which evaluates the phase synchronization of EEG signals. Individual creativity was assessed using the S-A creativity test in a separate session before the EEG recording. In the analysis of associations of EEG measures with the S-A test scores, the covariate effect of the intelligence quotient was evaluated. As a result, higher individual S-A scores were significantly associated with higher node degrees, defined as the average PLI of a node (electrode) across all links with the remaining nodes, across all nodes at the alpha band. A conventional power spectrum analysis revealed no significant association with S-A scores in any frequency band. Older participants with high creativity exhibited high functional connectivity even in the resting-state, irrespective of intelligence quotient, which supports the theory that creativity entails widespread brain connectivity. Thus, PLIs derived from EEG data may provide new insights into the relationship between functional connectivity and creativity in healthy older people. Frontiers Media S.A. 2020-10-22 /pmc/articles/PMC7642763/ /pubmed/33192416 http://dx.doi.org/10.3389/fnhum.2020.583049 Text en Copyright © 2020 Nobukawa, Yamanishi, Ueno, Mizukami, Nishimura and Takahashi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Nobukawa, Sou Yamanishi, Teruya Ueno, Kanji Mizukami, Kimiko Nishimura, Haruhiko Takahashi, Tetsuya High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title | High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title_full | High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title_fullStr | High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title_full_unstemmed | High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title_short | High Phase Synchronization in Alpha Band Activity in Older Subjects With High Creativity |
title_sort | high phase synchronization in alpha band activity in older subjects with high creativity |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642763/ https://www.ncbi.nlm.nih.gov/pubmed/33192416 http://dx.doi.org/10.3389/fnhum.2020.583049 |
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