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Detection and analysis of cortical beta bursts in developmental EEG Data
Developmental EEG research often involves analyzing signals within various frequency bands, based on the assumption that these signals represent oscillatory neural activity. However, growing evidence suggests that certain frequency bands are dominated by transient burst events in single trials rathe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816670/ https://www.ncbi.nlm.nih.gov/pubmed/35114447 http://dx.doi.org/10.1016/j.dcn.2022.101069 |
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author | Rayson, Holly Debnath, Ranjan Alavizadeh, Sanaz Fox, Nathan Ferrari, Pier F. Bonaiuto, James J. |
author_facet | Rayson, Holly Debnath, Ranjan Alavizadeh, Sanaz Fox, Nathan Ferrari, Pier F. Bonaiuto, James J. |
author_sort | Rayson, Holly |
collection | PubMed |
description | Developmental EEG research often involves analyzing signals within various frequency bands, based on the assumption that these signals represent oscillatory neural activity. However, growing evidence suggests that certain frequency bands are dominated by transient burst events in single trials rather than sustained oscillations. This is especially true for the beta band, with adult ‘beta burst’ timing a better predictor of motor behavior than slow changes in average beta amplitude. No developmental research thus far has looked at beta bursts, with techniques used to investigate frequency-specific activity structure rarely even applied to such data. Therefore, we aimed to: i) provide a tutorial for developmental EEG researchers on the application of methods for evaluating the rhythmic versus transient nature of frequency-specific activity; and ii) use these techniques to investigate the existence of sensorimotor beta bursts in infants. We found that beta activity in 12-month-olds did occur in bursts, however differences were also revealed in terms of duration, amplitude, and rate during grasping compared to adults. Application of the techniques illustrated here will be critical for clarifying the functional roles of frequency-specific activity across early development, including the role of beta activity in motor processing and its contribution to differing developmental motor trajectories. |
format | Online Article Text |
id | pubmed-8816670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88166702022-02-09 Detection and analysis of cortical beta bursts in developmental EEG Data Rayson, Holly Debnath, Ranjan Alavizadeh, Sanaz Fox, Nathan Ferrari, Pier F. Bonaiuto, James J. Dev Cogn Neurosci Original Research Developmental EEG research often involves analyzing signals within various frequency bands, based on the assumption that these signals represent oscillatory neural activity. However, growing evidence suggests that certain frequency bands are dominated by transient burst events in single trials rather than sustained oscillations. This is especially true for the beta band, with adult ‘beta burst’ timing a better predictor of motor behavior than slow changes in average beta amplitude. No developmental research thus far has looked at beta bursts, with techniques used to investigate frequency-specific activity structure rarely even applied to such data. Therefore, we aimed to: i) provide a tutorial for developmental EEG researchers on the application of methods for evaluating the rhythmic versus transient nature of frequency-specific activity; and ii) use these techniques to investigate the existence of sensorimotor beta bursts in infants. We found that beta activity in 12-month-olds did occur in bursts, however differences were also revealed in terms of duration, amplitude, and rate during grasping compared to adults. Application of the techniques illustrated here will be critical for clarifying the functional roles of frequency-specific activity across early development, including the role of beta activity in motor processing and its contribution to differing developmental motor trajectories. Elsevier 2022-01-14 /pmc/articles/PMC8816670/ /pubmed/35114447 http://dx.doi.org/10.1016/j.dcn.2022.101069 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Rayson, Holly Debnath, Ranjan Alavizadeh, Sanaz Fox, Nathan Ferrari, Pier F. Bonaiuto, James J. Detection and analysis of cortical beta bursts in developmental EEG Data |
title | Detection and analysis of cortical beta bursts in developmental EEG Data |
title_full | Detection and analysis of cortical beta bursts in developmental EEG Data |
title_fullStr | Detection and analysis of cortical beta bursts in developmental EEG Data |
title_full_unstemmed | Detection and analysis of cortical beta bursts in developmental EEG Data |
title_short | Detection and analysis of cortical beta bursts in developmental EEG Data |
title_sort | detection and analysis of cortical beta bursts in developmental eeg data |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816670/ https://www.ncbi.nlm.nih.gov/pubmed/35114447 http://dx.doi.org/10.1016/j.dcn.2022.101069 |
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