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Investigating the spectral features of the brain meso-scale structure at rest
- Source :
- Human Brain Mapping
- 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 (
- Subjects :
- Adult
Male
Computer science
Frequency band
Neuroimaging
PREFRONTAL CORTEX
PRECUNEUS
Electroencephalography
WINDOW
Young Adult
community detection
frequency-specificity
meso-scale
network neuroscience
resting state
OSCILLATIONS
medicine
Connectome
Humans
Radiology, Nuclear Medicine and imaging
EEG
ARCHITECTURE
Science & Technology
Radiological and Ultrasound Technology
Resting state fMRI
medicine.diagnostic_test
Assortativity
Radiology, Nuclear Medicine & Medical Imaging
Neurosciences
CORTICAL CORRELATION STRUCTURE
Information processing
Brain
FUNCTIONAL CONNECTIVITY
Degree (music)
Brain Waves
NETWORKS
Neurology
Frequency domain
Female
Neurosciences & Neurology
Neurology (clinical)
Granularity
Anatomy
Nerve Net
Biological system
Life Sciences & Biomedicine
Subjects
Details
- ISSN :
- 10970193
- Volume :
- 42
- Issue :
- 15
- Database :
- OpenAIRE
- Journal :
- Human brain mapping
- Accession number :
- edsair.doi.dedup.....9cff7e6b4d8c43a5187b1461d63adf76