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The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation
Electroencephalographic (EEG) patterns were analyzed in a group of ambulatory patients who ranged in age and sex using spectral analysis as well as Directed Transfer Function, a method used to evaluate functional brain connectivity. We tested the impact of window size and choice of reference electro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601034/ https://www.ncbi.nlm.nih.gov/pubmed/28955192 http://dx.doi.org/10.3389/fnins.2017.00506 |
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author | Olejarczyk, Elzbieta Bogucki, Piotr Sobieszek, Aleksander |
author_facet | Olejarczyk, Elzbieta Bogucki, Piotr Sobieszek, Aleksander |
author_sort | Olejarczyk, Elzbieta |
collection | PubMed |
description | Electroencephalographic (EEG) patterns were analyzed in a group of ambulatory patients who ranged in age and sex using spectral analysis as well as Directed Transfer Function, a method used to evaluate functional brain connectivity. We tested the impact of window size and choice of reference electrode on the identification of two or more peaks with close frequencies in the spectral power distribution, so called “split alpha.” Together with the connectivity analysis, examination of spatiotemporal maps showing the distribution of amplitudes of EEG patterns allowed for better explanation of the mechanisms underlying the generation of split alpha peaks. It was demonstrated that the split alpha spectrum can be generated by two or more independent and interconnected alpha wave generators located in different regions of the cerebral cortex, but not necessarily in the occipital cortex. We also demonstrated the importance of appropriate reference electrode choice during signal recording. In addition, results obtained using the original data were compared with results obtained using re-referenced data, using average reference electrode and reference electrode standardization techniques. |
format | Online Article Text |
id | pubmed-5601034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56010342017-09-27 The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation Olejarczyk, Elzbieta Bogucki, Piotr Sobieszek, Aleksander Front Neurosci Neuroscience Electroencephalographic (EEG) patterns were analyzed in a group of ambulatory patients who ranged in age and sex using spectral analysis as well as Directed Transfer Function, a method used to evaluate functional brain connectivity. We tested the impact of window size and choice of reference electrode on the identification of two or more peaks with close frequencies in the spectral power distribution, so called “split alpha.” Together with the connectivity analysis, examination of spatiotemporal maps showing the distribution of amplitudes of EEG patterns allowed for better explanation of the mechanisms underlying the generation of split alpha peaks. It was demonstrated that the split alpha spectrum can be generated by two or more independent and interconnected alpha wave generators located in different regions of the cerebral cortex, but not necessarily in the occipital cortex. We also demonstrated the importance of appropriate reference electrode choice during signal recording. In addition, results obtained using the original data were compared with results obtained using re-referenced data, using average reference electrode and reference electrode standardization techniques. Frontiers Media S.A. 2017-09-12 /pmc/articles/PMC5601034/ /pubmed/28955192 http://dx.doi.org/10.3389/fnins.2017.00506 Text en Copyright © 2017 Olejarczyk, Bogucki and Sobieszek. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Olejarczyk, Elzbieta Bogucki, Piotr Sobieszek, Aleksander The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title | The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title_full | The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title_fullStr | The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title_full_unstemmed | The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title_short | The EEG Split Alpha Peak: Phenomenological Origins and Methodological Aspects of Detection and Evaluation |
title_sort | eeg split alpha peak: phenomenological origins and methodological aspects of detection and evaluation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601034/ https://www.ncbi.nlm.nih.gov/pubmed/28955192 http://dx.doi.org/10.3389/fnins.2017.00506 |
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