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Updated: Mar 12, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Relationships between cortical myeloarchitecture and electrophysiological networks
Benjamin A E Hunt1, Prejaas K Tewarie1, Olivier E Mougin1
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
The human brain
Area of Science:
- Neuroscience
- Brain Imaging
- Neurophysiology
Background:
- The human brain's cognitive functions depend on dynamic functional networks.
- The relationship between cortical microstructure and functional connectivity is not well understood.
- Animal studies suggest electrical activity influences myelination.
Purpose of the Study:
- To investigate the link between gray matter myelin and electrophysiological connectivity in the human brain.
- To explore how cortical microstructure supports functional brain networks.
Main Methods:
- Utilized ultra-high field magnetic resonance imaging (MRI) and structural covariance to map myelin density across cortical regions.
- Employed magnetoencephalography (MEG) to identify electrophysiological brain networks.
- Correlated structural (myelin-based) and functional (electrophysiological) networks.
Main Results:
- Developed a structural network based on myelin density and structural covariance.
- Identified major electrophysiological communication pathways using MEG.
- Found a significant relationship between structural and functional networks, modulated by neural oscillatory frequency and integration.
Conclusions:
- Cortical myelin density is related to electrophysiological connectivity in the human brain.
- Neural oscillations play a key role in mediating brain network communication.
- This study provides insights into the structure-function relationship in the brain and its potential alterations in disease.
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