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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
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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. |
format | Text |
id | pubmed-2787015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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