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Spectral parameterization for studying neurodevelopment: How and why

A growing body of literature suggests that the explicit parameterization of neural power spectra is important for the appropriate physiological interpretation of periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why parameterization is an imperative step for devel...

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Autores principales: Ostlund, Brendan, Donoghue, Thomas, Anaya, Berenice, Gunther, Kelley E., Karalunas, Sarah L., Voytek, Bradley, Pérez-Edgar, Koraly E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792072/
https://www.ncbi.nlm.nih.gov/pubmed/35074579
http://dx.doi.org/10.1016/j.dcn.2022.101073
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author Ostlund, Brendan
Donoghue, Thomas
Anaya, Berenice
Gunther, Kelley E.
Karalunas, Sarah L.
Voytek, Bradley
Pérez-Edgar, Koraly E.
author_facet Ostlund, Brendan
Donoghue, Thomas
Anaya, Berenice
Gunther, Kelley E.
Karalunas, Sarah L.
Voytek, Bradley
Pérez-Edgar, Koraly E.
author_sort Ostlund, Brendan
collection PubMed
description A growing body of literature suggests that the explicit parameterization of neural power spectra is important for the appropriate physiological interpretation of periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why parameterization is an imperative step for developmental cognitive neuroscientists interested in cognition and behavior across the lifespan, as well as how parameterization can be readily accomplished with an automated spectral parameterization (“specparam”) algorithm (Donoghue et al., 2020a). We provide annotated code for power spectral parameterization, via specparam, in Jupyter Notebook and R Studio. We then apply this algorithm to EEG data in childhood (N = 60; M(age) = 9.97, SD = 0.95) to illustrate its utility for developmental cognitive neuroscientists. Ultimately, the explicit parameterization of EEG power spectra may help us refine our understanding of how dynamic neural communication contributes to normative and aberrant cognition across the lifespan. Data and annotated analysis code for this manuscript are available on GitHub as a supplement to the open-access specparam toolbox.
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spelling pubmed-87920722022-02-02 Spectral parameterization for studying neurodevelopment: How and why Ostlund, Brendan Donoghue, Thomas Anaya, Berenice Gunther, Kelley E. Karalunas, Sarah L. Voytek, Bradley Pérez-Edgar, Koraly E. Dev Cogn Neurosci Original Research A growing body of literature suggests that the explicit parameterization of neural power spectra is important for the appropriate physiological interpretation of periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why parameterization is an imperative step for developmental cognitive neuroscientists interested in cognition and behavior across the lifespan, as well as how parameterization can be readily accomplished with an automated spectral parameterization (“specparam”) algorithm (Donoghue et al., 2020a). We provide annotated code for power spectral parameterization, via specparam, in Jupyter Notebook and R Studio. We then apply this algorithm to EEG data in childhood (N = 60; M(age) = 9.97, SD = 0.95) to illustrate its utility for developmental cognitive neuroscientists. Ultimately, the explicit parameterization of EEG power spectra may help us refine our understanding of how dynamic neural communication contributes to normative and aberrant cognition across the lifespan. Data and annotated analysis code for this manuscript are available on GitHub as a supplement to the open-access specparam toolbox. Elsevier 2022-01-15 /pmc/articles/PMC8792072/ /pubmed/35074579 http://dx.doi.org/10.1016/j.dcn.2022.101073 Text en © 2022 The Authors. Published by Elsevier Ltd. 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
Ostlund, Brendan
Donoghue, Thomas
Anaya, Berenice
Gunther, Kelley E.
Karalunas, Sarah L.
Voytek, Bradley
Pérez-Edgar, Koraly E.
Spectral parameterization for studying neurodevelopment: How and why
title Spectral parameterization for studying neurodevelopment: How and why
title_full Spectral parameterization for studying neurodevelopment: How and why
title_fullStr Spectral parameterization for studying neurodevelopment: How and why
title_full_unstemmed Spectral parameterization for studying neurodevelopment: How and why
title_short Spectral parameterization for studying neurodevelopment: How and why
title_sort spectral parameterization for studying neurodevelopment: how and why
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792072/
https://www.ncbi.nlm.nih.gov/pubmed/35074579
http://dx.doi.org/10.1016/j.dcn.2022.101073
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