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Power-Law Scaling in the Brain Surface Electric Potential

Recent studies have identified broadband phenomena in the electric potentials produced by the brain. We report the finding of power-law scaling in these signals using subdural electrocorticographic recordings from the surface of human cortex. The power spectral density (PSD) of the electric potentia...

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Detalles Bibliográficos
Autores principales: Miller, Kai J., Sorensen, Larry B., Ojemann, Jeffrey G., den Nijs, Marcel
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2787015/
https://www.ncbi.nlm.nih.gov/pubmed/20019800
http://dx.doi.org/10.1371/journal.pcbi.1000609
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author Miller, Kai J.
Sorensen, Larry B.
Ojemann, Jeffrey G.
den Nijs, Marcel
author_facet Miller, Kai J.
Sorensen, Larry B.
Ojemann, Jeffrey G.
den Nijs, Marcel
author_sort Miller, Kai J.
collection PubMed
description Recent studies have identified broadband phenomena in the electric potentials produced by the brain. We report the finding of power-law scaling in these signals using subdural electrocorticographic recordings from the surface of human cortex. The power spectral density (PSD) of the electric potential has the power-law form [Image: see text] from 80 to 500 Hz. This scaling index, [Image: see text], is conserved across subjects, area in the cortex, and local neural activity levels. The shape of the PSD does not change with increases in local cortical activity, but the amplitude, [Image: see text], increases. We observe a “knee” in the spectra at [Image: see text], implying the existence of a characteristic time scale [Image: see text]. Below [Image: see text], we explore two-power-law forms of the PSD, and demonstrate that there are activity-related fluctuations in the amplitude of a power-law process lying beneath the [Image: see text] rhythms. Finally, we illustrate through simulation how, small-scale, simplified neuronal models could lead to these power-law observations. This suggests a new paradigm of non-oscillatory “asynchronous,” scale-free, changes in cortical potentials, corresponding to changes in mean population-averaged firing rate, to complement the prevalent “synchronous” rhythm-based paradigm.
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spelling pubmed-27870152009-12-18 Power-Law Scaling in the Brain Surface Electric Potential Miller, Kai J. Sorensen, Larry B. Ojemann, Jeffrey G. den Nijs, Marcel PLoS Comput Biol Research Article Recent studies have identified broadband phenomena in the electric potentials produced by the brain. We report the finding of power-law scaling in these signals using subdural electrocorticographic recordings from the surface of human cortex. The power spectral density (PSD) of the electric potential has the power-law form [Image: see text] from 80 to 500 Hz. This scaling index, [Image: see text], is conserved across subjects, area in the cortex, and local neural activity levels. The shape of the PSD does not change with increases in local cortical activity, but the amplitude, [Image: see text], increases. We observe a “knee” in the spectra at [Image: see text], implying the existence of a characteristic time scale [Image: see text]. Below [Image: see text], we explore two-power-law forms of the PSD, and demonstrate that there are activity-related fluctuations in the amplitude of a power-law process lying beneath the [Image: see text] rhythms. Finally, we illustrate through simulation how, small-scale, simplified neuronal models could lead to these power-law observations. This suggests a new paradigm of non-oscillatory “asynchronous,” scale-free, changes in cortical potentials, corresponding to changes in mean population-averaged firing rate, to complement the prevalent “synchronous” rhythm-based paradigm. Public Library of Science 2009-12-18 /pmc/articles/PMC2787015/ /pubmed/20019800 http://dx.doi.org/10.1371/journal.pcbi.1000609 Text en Miller et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Miller, Kai J.
Sorensen, Larry B.
Ojemann, Jeffrey G.
den Nijs, Marcel
Power-Law Scaling in the Brain Surface Electric Potential
title Power-Law Scaling in the Brain Surface Electric Potential
title_full Power-Law Scaling in the Brain Surface Electric Potential
title_fullStr Power-Law Scaling in the Brain Surface Electric Potential
title_full_unstemmed Power-Law Scaling in the Brain Surface Electric Potential
title_short Power-Law Scaling in the Brain Surface Electric Potential
title_sort power-law scaling in the brain surface electric potential
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2787015/
https://www.ncbi.nlm.nih.gov/pubmed/20019800
http://dx.doi.org/10.1371/journal.pcbi.1000609
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