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Correlation between electroencephalographic markers in the healthy brain

Mental disorders have an increasing tendency and represent the main burden of disease to society today. A wide variety of electroencephalographic (EEG) markers have been successfully used to assess different symptoms of mental disorders. Different EEG markers have demonstrated similar classification...

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Autores principales: Päeske, Laura, Uudeberg, Tuuli, Hinrikus, Hiie, Lass, Jaanus, Bachmann, Maie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113388/
https://www.ncbi.nlm.nih.gov/pubmed/37072499
http://dx.doi.org/10.1038/s41598-023-33364-z
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author Päeske, Laura
Uudeberg, Tuuli
Hinrikus, Hiie
Lass, Jaanus
Bachmann, Maie
author_facet Päeske, Laura
Uudeberg, Tuuli
Hinrikus, Hiie
Lass, Jaanus
Bachmann, Maie
author_sort Päeske, Laura
collection PubMed
description Mental disorders have an increasing tendency and represent the main burden of disease to society today. A wide variety of electroencephalographic (EEG) markers have been successfully used to assess different symptoms of mental disorders. Different EEG markers have demonstrated similar classification accuracy, raising a question of their independence. The current study is aimed to investigate the hypotheses that different EEG markers reveal partly the same EEG features reflecting brain functioning and therefore provide overlapping information. The assessment of the correlations between EEG signal frequency band power, dynamics, and functional connectivity markers demonstrates that a statistically significant correlation is evident in 37 of 66 (56%) comparisons performed between 12 markers of different natures. A significant correlation between the majority of the markers supports the similarity of information in the markers. The results of the performed study confirm the hypotheses that different EEG markers reflect partly the same features in brain functioning. Higuchi’s fractal dimension has demonstrated a significant correlation with the 82% of other markers and is suggested to reveal a wide spectrum of various brain disorders. This marker is preferable in the early detection of symptoms of mental disorders.
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spelling pubmed-101133882023-04-20 Correlation between electroencephalographic markers in the healthy brain Päeske, Laura Uudeberg, Tuuli Hinrikus, Hiie Lass, Jaanus Bachmann, Maie Sci Rep Article Mental disorders have an increasing tendency and represent the main burden of disease to society today. A wide variety of electroencephalographic (EEG) markers have been successfully used to assess different symptoms of mental disorders. Different EEG markers have demonstrated similar classification accuracy, raising a question of their independence. The current study is aimed to investigate the hypotheses that different EEG markers reveal partly the same EEG features reflecting brain functioning and therefore provide overlapping information. The assessment of the correlations between EEG signal frequency band power, dynamics, and functional connectivity markers demonstrates that a statistically significant correlation is evident in 37 of 66 (56%) comparisons performed between 12 markers of different natures. A significant correlation between the majority of the markers supports the similarity of information in the markers. The results of the performed study confirm the hypotheses that different EEG markers reflect partly the same features in brain functioning. Higuchi’s fractal dimension has demonstrated a significant correlation with the 82% of other markers and is suggested to reveal a wide spectrum of various brain disorders. This marker is preferable in the early detection of symptoms of mental disorders. Nature Publishing Group UK 2023-04-18 /pmc/articles/PMC10113388/ /pubmed/37072499 http://dx.doi.org/10.1038/s41598-023-33364-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Päeske, Laura
Uudeberg, Tuuli
Hinrikus, Hiie
Lass, Jaanus
Bachmann, Maie
Correlation between electroencephalographic markers in the healthy brain
title Correlation between electroencephalographic markers in the healthy brain
title_full Correlation between electroencephalographic markers in the healthy brain
title_fullStr Correlation between electroencephalographic markers in the healthy brain
title_full_unstemmed Correlation between electroencephalographic markers in the healthy brain
title_short Correlation between electroencephalographic markers in the healthy brain
title_sort correlation between electroencephalographic markers in the healthy brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113388/
https://www.ncbi.nlm.nih.gov/pubmed/37072499
http://dx.doi.org/10.1038/s41598-023-33364-z
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