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Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?

This paper attempts to explain some methodological issues regarding EEG signal analysis which might lead to misinterpretation and therefore to unsubstantiated conclusions. The so called “split-alpha,” a “new phenomenon” in EEG spectral analysis described lately in few papers is such a case. We have...

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Autor principal: Zalewska, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726354/
https://www.ncbi.nlm.nih.gov/pubmed/33324157
http://dx.doi.org/10.3389/fnins.2020.608453
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author Zalewska, Ewa
author_facet Zalewska, Ewa
author_sort Zalewska, Ewa
collection PubMed
description This paper attempts to explain some methodological issues regarding EEG signal analysis which might lead to misinterpretation and therefore to unsubstantiated conclusions. The so called “split-alpha,” a “new phenomenon” in EEG spectral analysis described lately in few papers is such a case. We have shown that spectrum feature presented as a “split alpha” can be the result of applying improper means of analysis of the spectrum of the EEG signal that did not take into account the significant properties of the applied Fast Fourier Transform (FFT) method. Analysis of the shortcomings of the FFT method applied to EEG signal such as limited duration of analyzed signal, dependence of frequency resolution on time window duration, influence of window duration and shape, overlapping and spectral leakage was performed. Our analyses of EEG data as well as simulations indicate that double alpha spectra called as “split alpha” can appear, as spurious peaks, for short signal window when the EEG signal being studied shows multiple frequencies and frequency bands. These peaks have no relation to any frequencies of the signal and are an effect of spectrum leakage. Our paper is intended to explain the reasons underlying a spectrum pattern called as a “split alpha” and give some practical indications for using spectral analysis of EEG signal that might be useful for readers and allow to avoid EEG spectrum misinterpretation in further studies and publications as well as in clinical practice.
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spelling pubmed-77263542020-12-14 Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors? Zalewska, Ewa Front Neurosci Neuroscience This paper attempts to explain some methodological issues regarding EEG signal analysis which might lead to misinterpretation and therefore to unsubstantiated conclusions. The so called “split-alpha,” a “new phenomenon” in EEG spectral analysis described lately in few papers is such a case. We have shown that spectrum feature presented as a “split alpha” can be the result of applying improper means of analysis of the spectrum of the EEG signal that did not take into account the significant properties of the applied Fast Fourier Transform (FFT) method. Analysis of the shortcomings of the FFT method applied to EEG signal such as limited duration of analyzed signal, dependence of frequency resolution on time window duration, influence of window duration and shape, overlapping and spectral leakage was performed. Our analyses of EEG data as well as simulations indicate that double alpha spectra called as “split alpha” can appear, as spurious peaks, for short signal window when the EEG signal being studied shows multiple frequencies and frequency bands. These peaks have no relation to any frequencies of the signal and are an effect of spectrum leakage. Our paper is intended to explain the reasons underlying a spectrum pattern called as a “split alpha” and give some practical indications for using spectral analysis of EEG signal that might be useful for readers and allow to avoid EEG spectrum misinterpretation in further studies and publications as well as in clinical practice. Frontiers Media S.A. 2020-11-26 /pmc/articles/PMC7726354/ /pubmed/33324157 http://dx.doi.org/10.3389/fnins.2020.608453 Text en Copyright © 2020 Zalewska. 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) and the copyright owner(s) 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
Zalewska, Ewa
Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title_full Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title_fullStr Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title_full_unstemmed Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title_short Is So Called “Split Alpha” in EEG Spectral Analysis a Result of Methodological and Interpretation Errors?
title_sort is so called “split alpha” in eeg spectral analysis a result of methodological and interpretation errors?
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726354/
https://www.ncbi.nlm.nih.gov/pubmed/33324157
http://dx.doi.org/10.3389/fnins.2020.608453
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