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Region-specific complexity of the intracranial EEG in the sleeping human brain

As the brain is a complex system with occurrence of self-similarity at different levels, a dedicated analysis of the complexity of brain signals is of interest to elucidate the functional role of various brain regions across the various stages of vigilance. We exploited intracranial electroencephalo...

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Autores principales: Olejarczyk, Elzbieta, Gotman, Jean, Frauscher, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748934/
https://www.ncbi.nlm.nih.gov/pubmed/35013431
http://dx.doi.org/10.1038/s41598-021-04213-8
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author Olejarczyk, Elzbieta
Gotman, Jean
Frauscher, Birgit
author_facet Olejarczyk, Elzbieta
Gotman, Jean
Frauscher, Birgit
author_sort Olejarczyk, Elzbieta
collection PubMed
description As the brain is a complex system with occurrence of self-similarity at different levels, a dedicated analysis of the complexity of brain signals is of interest to elucidate the functional role of various brain regions across the various stages of vigilance. We exploited intracranial electroencephalogram data from 38 cortical regions using the Higuchi fractal dimension (HFD) as measure to assess brain complexity, on a dataset of 1772 electrode locations. HFD values depended on sleep stage and topography. HFD increased with higher levels of vigilance, being highest during wakefulness in the frontal lobe. HFD did not change from wake to stage N2 in temporo-occipital regions. The transverse temporal gyrus was the only area in which the HFD did not differ between any two vigilance stages. Interestingly, HFD of wakefulness and stage R were different mainly in the precentral gyrus, possibly reflecting motor inhibition in stage R. The fusiform and parahippocampal gyri were the only areas showing no difference between wakefulness and N2. Stages R and N2 were similar only for the postcentral gyrus. Topographical analysis of brain complexity revealed that sleep stages are clearly differentiated in fronto-central brain regions, but that temporo-occipital regions sleep differently.
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spelling pubmed-87489342022-01-13 Region-specific complexity of the intracranial EEG in the sleeping human brain Olejarczyk, Elzbieta Gotman, Jean Frauscher, Birgit Sci Rep Article As the brain is a complex system with occurrence of self-similarity at different levels, a dedicated analysis of the complexity of brain signals is of interest to elucidate the functional role of various brain regions across the various stages of vigilance. We exploited intracranial electroencephalogram data from 38 cortical regions using the Higuchi fractal dimension (HFD) as measure to assess brain complexity, on a dataset of 1772 electrode locations. HFD values depended on sleep stage and topography. HFD increased with higher levels of vigilance, being highest during wakefulness in the frontal lobe. HFD did not change from wake to stage N2 in temporo-occipital regions. The transverse temporal gyrus was the only area in which the HFD did not differ between any two vigilance stages. Interestingly, HFD of wakefulness and stage R were different mainly in the precentral gyrus, possibly reflecting motor inhibition in stage R. The fusiform and parahippocampal gyri were the only areas showing no difference between wakefulness and N2. Stages R and N2 were similar only for the postcentral gyrus. Topographical analysis of brain complexity revealed that sleep stages are clearly differentiated in fronto-central brain regions, but that temporo-occipital regions sleep differently. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748934/ /pubmed/35013431 http://dx.doi.org/10.1038/s41598-021-04213-8 Text en © The Author(s) 2022 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
Olejarczyk, Elzbieta
Gotman, Jean
Frauscher, Birgit
Region-specific complexity of the intracranial EEG in the sleeping human brain
title Region-specific complexity of the intracranial EEG in the sleeping human brain
title_full Region-specific complexity of the intracranial EEG in the sleeping human brain
title_fullStr Region-specific complexity of the intracranial EEG in the sleeping human brain
title_full_unstemmed Region-specific complexity of the intracranial EEG in the sleeping human brain
title_short Region-specific complexity of the intracranial EEG in the sleeping human brain
title_sort region-specific complexity of the intracranial eeg in the sleeping human brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748934/
https://www.ncbi.nlm.nih.gov/pubmed/35013431
http://dx.doi.org/10.1038/s41598-021-04213-8
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