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Investigating the spectral features of the brain meso‐scale structure at rest
Recent studies provide novel insights into the meso‐scale organization of the brain, highlighting the co‐occurrence of different structures: classic assortative (modular), disassortative, and core‐periphery. However, the spectral properties of the brain meso‐scale remain mostly unexplored. To fill t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449100/ https://www.ncbi.nlm.nih.gov/pubmed/34331365 http://dx.doi.org/10.1002/hbm.25607 |
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author | Iandolo, Riccardo Semprini, Marianna Sona, Diego Mantini, Dante Avanzino, Laura Chiappalone, Michela |
author_facet | Iandolo, Riccardo Semprini, Marianna Sona, Diego Mantini, Dante Avanzino, Laura Chiappalone, Michela |
author_sort | Iandolo, Riccardo |
collection | PubMed |
description | Recent studies provide novel insights into the meso‐scale organization of the brain, highlighting the co‐occurrence of different structures: classic assortative (modular), disassortative, and core‐periphery. However, the spectral properties of the brain meso‐scale remain mostly unexplored. To fill this knowledge gap, we investigated how the meso‐scale structure is organized across the frequency domain. We analyzed the resting state activity of healthy participants with source‐localized high‐density electroencephalography signals. Then, we inferred the community structure using weighted stochastic block‐model (WSBM) to capture the landscape of meso‐scale structures across the frequency domain. We found that different meso‐scale modalities co‐exist and are diversely organized over the frequency spectrum. Specifically, we found a core‐periphery structure dominance, but we also highlighted a selective increase of disassortativity in the low frequency bands (<8 Hz), and of assortativity in the high frequency band (30–50 Hz). We further described other features of the meso‐scale organization by identifying those brain regions which, at the same time, (a) exhibited the highest degree of assortativity, disassortativity, and core‐peripheriness (i.e., participation) and (b) were consistently assigned to the same community, irrespective from the granularity imposed by WSBM (i.e., granularity‐invariance). In conclusion, we observed that the brain spontaneous activity shows frequency‐specific meso‐scale organization, which may support spatially distributed and local information processing. |
format | Online Article Text |
id | pubmed-8449100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84491002021-09-24 Investigating the spectral features of the brain meso‐scale structure at rest Iandolo, Riccardo Semprini, Marianna Sona, Diego Mantini, Dante Avanzino, Laura Chiappalone, Michela Hum Brain Mapp Research Articles Recent studies provide novel insights into the meso‐scale organization of the brain, highlighting the co‐occurrence of different structures: classic assortative (modular), disassortative, and core‐periphery. However, the spectral properties of the brain meso‐scale remain mostly unexplored. To fill this knowledge gap, we investigated how the meso‐scale structure is organized across the frequency domain. We analyzed the resting state activity of healthy participants with source‐localized high‐density electroencephalography signals. Then, we inferred the community structure using weighted stochastic block‐model (WSBM) to capture the landscape of meso‐scale structures across the frequency domain. We found that different meso‐scale modalities co‐exist and are diversely organized over the frequency spectrum. Specifically, we found a core‐periphery structure dominance, but we also highlighted a selective increase of disassortativity in the low frequency bands (<8 Hz), and of assortativity in the high frequency band (30–50 Hz). We further described other features of the meso‐scale organization by identifying those brain regions which, at the same time, (a) exhibited the highest degree of assortativity, disassortativity, and core‐peripheriness (i.e., participation) and (b) were consistently assigned to the same community, irrespective from the granularity imposed by WSBM (i.e., granularity‐invariance). In conclusion, we observed that the brain spontaneous activity shows frequency‐specific meso‐scale organization, which may support spatially distributed and local information processing. John Wiley & Sons, Inc. 2021-07-31 /pmc/articles/PMC8449100/ /pubmed/34331365 http://dx.doi.org/10.1002/hbm.25607 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Iandolo, Riccardo Semprini, Marianna Sona, Diego Mantini, Dante Avanzino, Laura Chiappalone, Michela Investigating the spectral features of the brain meso‐scale structure at rest |
title | Investigating the spectral features of the brain meso‐scale structure at rest |
title_full | Investigating the spectral features of the brain meso‐scale structure at rest |
title_fullStr | Investigating the spectral features of the brain meso‐scale structure at rest |
title_full_unstemmed | Investigating the spectral features of the brain meso‐scale structure at rest |
title_short | Investigating the spectral features of the brain meso‐scale structure at rest |
title_sort | investigating the spectral features of the brain meso‐scale structure at rest |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449100/ https://www.ncbi.nlm.nih.gov/pubmed/34331365 http://dx.doi.org/10.1002/hbm.25607 |
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