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Spontaneous cortical dynamics from the first years to the golden years

In the largest and most expansive lifespan magnetoencephalography (MEG) study to date (n = 434, 6 to 84 y), we provide critical data on the normative trajectory of resting-state spontaneous activity and its temporal dynamics. We perform cutting-edge analyses to examine age and sex effects on whole-b...

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Autores principales: Rempe, Maggie P., Ott, Lauren R., Picci, Giorgia, Penhale, Samantha H., Christopher-Hayes, Nicholas J., Lew, Brandon J., Petro, Nathan M., Embury, Christine M., Schantell, Mikki, Johnson, Hallie J., Okelberry, Hannah J., Losh, Kathryn L., Willett, Madelyn P., Losh, Rebecca A., Wang, Yu-Ping, Calhoun, Vince D., Stephen, Julia M., Heinrichs-Graham, Elizabeth, Kurz, Max J., Wilson, Tony W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942851/
https://www.ncbi.nlm.nih.gov/pubmed/36652485
http://dx.doi.org/10.1073/pnas.2212776120
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author Rempe, Maggie P.
Ott, Lauren R.
Picci, Giorgia
Penhale, Samantha H.
Christopher-Hayes, Nicholas J.
Lew, Brandon J.
Petro, Nathan M.
Embury, Christine M.
Schantell, Mikki
Johnson, Hallie J.
Okelberry, Hannah J.
Losh, Kathryn L.
Willett, Madelyn P.
Losh, Rebecca A.
Wang, Yu-Ping
Calhoun, Vince D.
Stephen, Julia M.
Heinrichs-Graham, Elizabeth
Kurz, Max J.
Wilson, Tony W.
author_facet Rempe, Maggie P.
Ott, Lauren R.
Picci, Giorgia
Penhale, Samantha H.
Christopher-Hayes, Nicholas J.
Lew, Brandon J.
Petro, Nathan M.
Embury, Christine M.
Schantell, Mikki
Johnson, Hallie J.
Okelberry, Hannah J.
Losh, Kathryn L.
Willett, Madelyn P.
Losh, Rebecca A.
Wang, Yu-Ping
Calhoun, Vince D.
Stephen, Julia M.
Heinrichs-Graham, Elizabeth
Kurz, Max J.
Wilson, Tony W.
author_sort Rempe, Maggie P.
collection PubMed
description In the largest and most expansive lifespan magnetoencephalography (MEG) study to date (n = 434, 6 to 84 y), we provide critical data on the normative trajectory of resting-state spontaneous activity and its temporal dynamics. We perform cutting-edge analyses to examine age and sex effects on whole-brain, spatially-resolved relative and absolute power maps, and find significant age effects in all spectral bands in both types of maps. Specifically, lower frequencies showed a negative correlation with age, while higher frequencies positively correlated with age. These correlations were further probed with hierarchical regressions, which revealed significant nonlinear trajectories in key brain regions. Sex effects were found in absolute but not relative power maps, highlighting key differences between outcome indices that are generally used interchangeably. Our rigorous and innovative approach provides multispectral maps indicating the unique trajectory of spontaneous neural activity across the lifespan, and illuminates key methodological considerations with the widely used relative/absolute power maps of spontaneous cortical dynamics.
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spelling pubmed-99428512023-02-22 Spontaneous cortical dynamics from the first years to the golden years Rempe, Maggie P. Ott, Lauren R. Picci, Giorgia Penhale, Samantha H. Christopher-Hayes, Nicholas J. Lew, Brandon J. Petro, Nathan M. Embury, Christine M. Schantell, Mikki Johnson, Hallie J. Okelberry, Hannah J. Losh, Kathryn L. Willett, Madelyn P. Losh, Rebecca A. Wang, Yu-Ping Calhoun, Vince D. Stephen, Julia M. Heinrichs-Graham, Elizabeth Kurz, Max J. Wilson, Tony W. Proc Natl Acad Sci U S A Biological Sciences In the largest and most expansive lifespan magnetoencephalography (MEG) study to date (n = 434, 6 to 84 y), we provide critical data on the normative trajectory of resting-state spontaneous activity and its temporal dynamics. We perform cutting-edge analyses to examine age and sex effects on whole-brain, spatially-resolved relative and absolute power maps, and find significant age effects in all spectral bands in both types of maps. Specifically, lower frequencies showed a negative correlation with age, while higher frequencies positively correlated with age. These correlations were further probed with hierarchical regressions, which revealed significant nonlinear trajectories in key brain regions. Sex effects were found in absolute but not relative power maps, highlighting key differences between outcome indices that are generally used interchangeably. Our rigorous and innovative approach provides multispectral maps indicating the unique trajectory of spontaneous neural activity across the lifespan, and illuminates key methodological considerations with the widely used relative/absolute power maps of spontaneous cortical dynamics. National Academy of Sciences 2023-01-18 2023-01-24 /pmc/articles/PMC9942851/ /pubmed/36652485 http://dx.doi.org/10.1073/pnas.2212776120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Rempe, Maggie P.
Ott, Lauren R.
Picci, Giorgia
Penhale, Samantha H.
Christopher-Hayes, Nicholas J.
Lew, Brandon J.
Petro, Nathan M.
Embury, Christine M.
Schantell, Mikki
Johnson, Hallie J.
Okelberry, Hannah J.
Losh, Kathryn L.
Willett, Madelyn P.
Losh, Rebecca A.
Wang, Yu-Ping
Calhoun, Vince D.
Stephen, Julia M.
Heinrichs-Graham, Elizabeth
Kurz, Max J.
Wilson, Tony W.
Spontaneous cortical dynamics from the first years to the golden years
title Spontaneous cortical dynamics from the first years to the golden years
title_full Spontaneous cortical dynamics from the first years to the golden years
title_fullStr Spontaneous cortical dynamics from the first years to the golden years
title_full_unstemmed Spontaneous cortical dynamics from the first years to the golden years
title_short Spontaneous cortical dynamics from the first years to the golden years
title_sort spontaneous cortical dynamics from the first years to the golden years
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942851/
https://www.ncbi.nlm.nih.gov/pubmed/36652485
http://dx.doi.org/10.1073/pnas.2212776120
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