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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-8748934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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