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Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes

People readily extract regularity in rhythmic auditory patterns, enabling prediction of the onset of the next beat. Recent magnetoencephalography (MEG) research suggests that such prediction is reflected by the entrainment of oscillatory networks in the brain to the tempo of the sequence. In particu...

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Autores principales: Cirelli, Laura K., Bosnyak, Dan, Manning, Fiona C., Spinelli, Christina, Marie, Céline, Fujioka, Takako, Ghahremani, Ayda, Trainor, Laurel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4093753/
https://www.ncbi.nlm.nih.gov/pubmed/25071691
http://dx.doi.org/10.3389/fpsyg.2014.00742
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author Cirelli, Laura K.
Bosnyak, Dan
Manning, Fiona C.
Spinelli, Christina
Marie, Céline
Fujioka, Takako
Ghahremani, Ayda
Trainor, Laurel J.
author_facet Cirelli, Laura K.
Bosnyak, Dan
Manning, Fiona C.
Spinelli, Christina
Marie, Céline
Fujioka, Takako
Ghahremani, Ayda
Trainor, Laurel J.
author_sort Cirelli, Laura K.
collection PubMed
description People readily extract regularity in rhythmic auditory patterns, enabling prediction of the onset of the next beat. Recent magnetoencephalography (MEG) research suggests that such prediction is reflected by the entrainment of oscillatory networks in the brain to the tempo of the sequence. In particular, induced beta-band oscillatory activity from auditory cortex decreases after each beat onset and rebounds prior to the onset of the next beat across tempi in a predictive manner. The objective of the present study was to examine the development of such oscillatory activity by comparing electroencephalography (EEG) measures of beta-band fluctuations in 7-year-old children to adults. EEG was recorded while participants listened passively to isochronous tone sequences at three tempi (390, 585, and 780 ms for onset-to-onset interval). In adults, induced power in the high beta-band (20–25 Hz) decreased after each tone onset and rebounded prior to the onset of the next tone across tempo conditions, consistent with MEG findings. In children, a similar pattern was measured in the two slower tempo conditions, but was weaker in the fastest condition. The results indicate that the beta-band timing network works similarly in children, although there are age-related changes in consistency and the tempo range over which it operates.
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spelling pubmed-40937532014-07-28 Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes Cirelli, Laura K. Bosnyak, Dan Manning, Fiona C. Spinelli, Christina Marie, Céline Fujioka, Takako Ghahremani, Ayda Trainor, Laurel J. Front Psychol Psychology People readily extract regularity in rhythmic auditory patterns, enabling prediction of the onset of the next beat. Recent magnetoencephalography (MEG) research suggests that such prediction is reflected by the entrainment of oscillatory networks in the brain to the tempo of the sequence. In particular, induced beta-band oscillatory activity from auditory cortex decreases after each beat onset and rebounds prior to the onset of the next beat across tempi in a predictive manner. The objective of the present study was to examine the development of such oscillatory activity by comparing electroencephalography (EEG) measures of beta-band fluctuations in 7-year-old children to adults. EEG was recorded while participants listened passively to isochronous tone sequences at three tempi (390, 585, and 780 ms for onset-to-onset interval). In adults, induced power in the high beta-band (20–25 Hz) decreased after each tone onset and rebounded prior to the onset of the next tone across tempo conditions, consistent with MEG findings. In children, a similar pattern was measured in the two slower tempo conditions, but was weaker in the fastest condition. The results indicate that the beta-band timing network works similarly in children, although there are age-related changes in consistency and the tempo range over which it operates. Frontiers Media S.A. 2014-07-11 /pmc/articles/PMC4093753/ /pubmed/25071691 http://dx.doi.org/10.3389/fpsyg.2014.00742 Text en Copyright © 2014 Cirelli, Bosnyak, Manning, Spinelli, Marie, Fujioka, Ghahremani and Trainor. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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 Psychology
Cirelli, Laura K.
Bosnyak, Dan
Manning, Fiona C.
Spinelli, Christina
Marie, Céline
Fujioka, Takako
Ghahremani, Ayda
Trainor, Laurel J.
Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title_full Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title_fullStr Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title_full_unstemmed Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title_short Beat-induced fluctuations in auditory cortical beta-band activity: using EEG to measure age-related changes
title_sort beat-induced fluctuations in auditory cortical beta-band activity: using eeg to measure age-related changes
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4093753/
https://www.ncbi.nlm.nih.gov/pubmed/25071691
http://dx.doi.org/10.3389/fpsyg.2014.00742
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