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Characterizing Population EEG Dynamics throughout Adulthood

For decades, electroencephalography (EEG) has been a useful tool for investigating the neural mechanisms underlying human psychological processes. However, the amount of time needed to gather EEG data means that most laboratory studies use relatively small sample sizes. Using the Muse, a portable an...

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Autores principales: Hashemi, Ali, Pino, Lou J., Moffat, Graeme, Mathewson, Karen J., Aimone, Chris, Bennett, Patrick J., Schmidt, Louis A., Sekuler, Allison B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5150228/
https://www.ncbi.nlm.nih.gov/pubmed/27957533
http://dx.doi.org/10.1523/ENEURO.0275-16.2016
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author Hashemi, Ali
Pino, Lou J.
Moffat, Graeme
Mathewson, Karen J.
Aimone, Chris
Bennett, Patrick J.
Schmidt, Louis A.
Sekuler, Allison B.
author_facet Hashemi, Ali
Pino, Lou J.
Moffat, Graeme
Mathewson, Karen J.
Aimone, Chris
Bennett, Patrick J.
Schmidt, Louis A.
Sekuler, Allison B.
author_sort Hashemi, Ali
collection PubMed
description For decades, electroencephalography (EEG) has been a useful tool for investigating the neural mechanisms underlying human psychological processes. However, the amount of time needed to gather EEG data means that most laboratory studies use relatively small sample sizes. Using the Muse, a portable and wireless four-channel EEG headband, we obtained EEG recordings from 6029 subjects 18–88 years in age while they completed a category exemplar task followed by a meditation exercise. Here, we report age-related changes in EEG power at a fine chronological scale for δ, θ, α, and β bands, as well as peak α frequency and α asymmetry measures for both frontal and temporoparietal sites. We found that EEG power changed as a function of age, and that the age-related changes depended on sex and frequency band. We found an overall age-related shift in band power from lower to higher frequencies, especially for females. We also found a gradual, year-by-year slowing of the peak α frequency with increasing age. Finally, our analysis of α asymmetry revealed greater relative right frontal activity. Our results replicate several previous age- and sex-related findings and show how some previously observed changes during childhood extend throughout the lifespan. Unlike previous age-related EEG studies that were limited by sample size and restricted age ranges, our work highlights the advantage of using large, representative samples to address questions about developmental brain changes. We discuss our findings in terms of their relevance to attentional processes and brain-based models of emotional well-being and aging.
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spelling pubmed-51502282016-12-12 Characterizing Population EEG Dynamics throughout Adulthood Hashemi, Ali Pino, Lou J. Moffat, Graeme Mathewson, Karen J. Aimone, Chris Bennett, Patrick J. Schmidt, Louis A. Sekuler, Allison B. eNeuro New Research For decades, electroencephalography (EEG) has been a useful tool for investigating the neural mechanisms underlying human psychological processes. However, the amount of time needed to gather EEG data means that most laboratory studies use relatively small sample sizes. Using the Muse, a portable and wireless four-channel EEG headband, we obtained EEG recordings from 6029 subjects 18–88 years in age while they completed a category exemplar task followed by a meditation exercise. Here, we report age-related changes in EEG power at a fine chronological scale for δ, θ, α, and β bands, as well as peak α frequency and α asymmetry measures for both frontal and temporoparietal sites. We found that EEG power changed as a function of age, and that the age-related changes depended on sex and frequency band. We found an overall age-related shift in band power from lower to higher frequencies, especially for females. We also found a gradual, year-by-year slowing of the peak α frequency with increasing age. Finally, our analysis of α asymmetry revealed greater relative right frontal activity. Our results replicate several previous age- and sex-related findings and show how some previously observed changes during childhood extend throughout the lifespan. Unlike previous age-related EEG studies that were limited by sample size and restricted age ranges, our work highlights the advantage of using large, representative samples to address questions about developmental brain changes. We discuss our findings in terms of their relevance to attentional processes and brain-based models of emotional well-being and aging. Society for Neuroscience 2016-12-12 /pmc/articles/PMC5150228/ /pubmed/27957533 http://dx.doi.org/10.1523/ENEURO.0275-16.2016 Text en Copyright © 2016 Hashemi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle New Research
Hashemi, Ali
Pino, Lou J.
Moffat, Graeme
Mathewson, Karen J.
Aimone, Chris
Bennett, Patrick J.
Schmidt, Louis A.
Sekuler, Allison B.
Characterizing Population EEG Dynamics throughout Adulthood
title Characterizing Population EEG Dynamics throughout Adulthood
title_full Characterizing Population EEG Dynamics throughout Adulthood
title_fullStr Characterizing Population EEG Dynamics throughout Adulthood
title_full_unstemmed Characterizing Population EEG Dynamics throughout Adulthood
title_short Characterizing Population EEG Dynamics throughout Adulthood
title_sort characterizing population eeg dynamics throughout adulthood
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5150228/
https://www.ncbi.nlm.nih.gov/pubmed/27957533
http://dx.doi.org/10.1523/ENEURO.0275-16.2016
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