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Investigating the spectral features of the brain meso-scale structure at rest.

Authors :
Iandolo R
Semprini M
Sona D
Mantini D
Avanzino L
Chiappalone M
Source :
Human brain mapping [Hum Brain Mapp] 2021 Oct 15; Vol. 42 (15), pp. 5113-5129. Date of Electronic Publication: 2021 Jul 31.
Publication Year :
2021

Abstract

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.<br /> (© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1097-0193
Volume :
42
Issue :
15
Database :
MEDLINE
Journal :
Human brain mapping
Publication Type :
Academic Journal
Accession number :
34331365
Full Text :
https://doi.org/10.1002/hbm.25607