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Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands
The degree to which electroencephalographic spectral peaks are independent, and the relationships between their frequencies have been debated. A novel fitting method was used to determine peak parameters in the range 2–35 Hz from a large sample of eyes-closed spectra, and their interrelationships we...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586764/ https://www.ncbi.nlm.nih.gov/pubmed/23483663 http://dx.doi.org/10.3389/fnhum.2013.00056 |
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author | van Albada, S. J. Robinson, P. A. |
author_facet | van Albada, S. J. Robinson, P. A. |
author_sort | van Albada, S. J. |
collection | PubMed |
description | The degree to which electroencephalographic spectral peaks are independent, and the relationships between their frequencies have been debated. A novel fitting method was used to determine peak parameters in the range 2–35 Hz from a large sample of eyes-closed spectra, and their interrelationships were investigated. Findings were compared with a mean-field model of thalamocortical activity, which predicts near-harmonic relationships between peaks. The subject set consisted of 1424 healthy subjects from the Brain Resource International Database. Peaks in the theta range occurred on average near half the alpha peak frequency, while peaks in the beta range tended to occur near twice and three times the alpha peak frequency on an individual-subject basis. Moreover, for the majority of subjects, alpha peak frequencies were significantly positively correlated with frequencies of peaks in the theta and low and high beta ranges. Such a harmonic progression agrees semiquantitatively with theoretical predictions from the mean-field model. These findings indicate a common or analogous source for different rhythms, and help to define appropriate individual frequency bands for peak identification. |
format | Online Article Text |
id | pubmed-3586764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-35867642013-03-12 Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands van Albada, S. J. Robinson, P. A. Front Hum Neurosci Neuroscience The degree to which electroencephalographic spectral peaks are independent, and the relationships between their frequencies have been debated. A novel fitting method was used to determine peak parameters in the range 2–35 Hz from a large sample of eyes-closed spectra, and their interrelationships were investigated. Findings were compared with a mean-field model of thalamocortical activity, which predicts near-harmonic relationships between peaks. The subject set consisted of 1424 healthy subjects from the Brain Resource International Database. Peaks in the theta range occurred on average near half the alpha peak frequency, while peaks in the beta range tended to occur near twice and three times the alpha peak frequency on an individual-subject basis. Moreover, for the majority of subjects, alpha peak frequencies were significantly positively correlated with frequencies of peaks in the theta and low and high beta ranges. Such a harmonic progression agrees semiquantitatively with theoretical predictions from the mean-field model. These findings indicate a common or analogous source for different rhythms, and help to define appropriate individual frequency bands for peak identification. Frontiers Media S.A. 2013-03-04 /pmc/articles/PMC3586764/ /pubmed/23483663 http://dx.doi.org/10.3389/fnhum.2013.00056 Text en Copyright © 2013 van Albada and Robinson. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience van Albada, S. J. Robinson, P. A. Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title | Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title_full | Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title_fullStr | Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title_full_unstemmed | Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title_short | Relationships between Electroencephalographic Spectral Peaks Across Frequency Bands |
title_sort | relationships between electroencephalographic spectral peaks across frequency bands |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586764/ https://www.ncbi.nlm.nih.gov/pubmed/23483663 http://dx.doi.org/10.3389/fnhum.2013.00056 |
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