Relationships between cortical myeloarchitecture and electrophysiological networks
The human brain relies upon the dynamic formation and dissolution of a hierarchy of functional networks to support ongoing cognition. However, how functional connectivities underlying such networks are supported by cortical microstructure remains poorly understood. Recent animal work has demonstrate...
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| Format: | Article |
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National Academy of Sciences
2016
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| Online Access: | https://eprints.nottingham.ac.uk/39415/ |
| _version_ | 1848795831858102272 |
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| author | Hunt, Benjamin A. E. Tewarie, Prejaas K. Mougin, Olivier E. Geades, Nicolas Jones, Derek K. Singh, Krish D. Morris, Peter G. Gowland, Penny A. Brookes, Matthew J. |
| author_facet | Hunt, Benjamin A. E. Tewarie, Prejaas K. Mougin, Olivier E. Geades, Nicolas Jones, Derek K. Singh, Krish D. Morris, Peter G. Gowland, Penny A. Brookes, Matthew J. |
| author_sort | Hunt, Benjamin A. E. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The human brain relies upon the dynamic formation and dissolution of a hierarchy of functional networks to support ongoing cognition. However, how functional connectivities underlying such networks are supported by cortical microstructure remains poorly understood. Recent animal work has demonstrated that electrical activity promotes myelination. Inspired by this, we test a hypothesis that gray-matter myelin is related to electrophysiological connectivity. Using ultra-high field MRI and the principle of structural covariance, we derive a structural network showing how myelin density differs across cortical regions and how separate regions can exhibit similar myeloarchitecture. Building upon recent evidence that neural oscillations mediate connectivity, we use magnetoencephalography to elucidate networks that represent the major electrophysiological pathways of communication in the brain. Finally, we show that a significant relationship exists between our functional and structural networks; this relationship differs as a function of neural oscillatory frequency and becomes stronger when integrating oscillations over frequency bands. Our study sheds light on the way in which cortical microstructure supports functional networks. Further, it paves the way for future investigations of the gray-matter structure/function relationship and its breakdown in pathology. |
| first_indexed | 2025-11-14T19:38:21Z |
| format | Article |
| id | nottingham-39415 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:38:21Z |
| publishDate | 2016 |
| publisher | National Academy of Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-394152020-05-04T18:20:20Z https://eprints.nottingham.ac.uk/39415/ Relationships between cortical myeloarchitecture and electrophysiological networks Hunt, Benjamin A. E. Tewarie, Prejaas K. Mougin, Olivier E. Geades, Nicolas Jones, Derek K. Singh, Krish D. Morris, Peter G. Gowland, Penny A. Brookes, Matthew J. The human brain relies upon the dynamic formation and dissolution of a hierarchy of functional networks to support ongoing cognition. However, how functional connectivities underlying such networks are supported by cortical microstructure remains poorly understood. Recent animal work has demonstrated that electrical activity promotes myelination. Inspired by this, we test a hypothesis that gray-matter myelin is related to electrophysiological connectivity. Using ultra-high field MRI and the principle of structural covariance, we derive a structural network showing how myelin density differs across cortical regions and how separate regions can exhibit similar myeloarchitecture. Building upon recent evidence that neural oscillations mediate connectivity, we use magnetoencephalography to elucidate networks that represent the major electrophysiological pathways of communication in the brain. Finally, we show that a significant relationship exists between our functional and structural networks; this relationship differs as a function of neural oscillatory frequency and becomes stronger when integrating oscillations over frequency bands. Our study sheds light on the way in which cortical microstructure supports functional networks. Further, it paves the way for future investigations of the gray-matter structure/function relationship and its breakdown in pathology. National Academy of Sciences 2016-11-22 Article PeerReviewed Hunt, Benjamin A. E., Tewarie, Prejaas K., Mougin, Olivier E., Geades, Nicolas, Jones, Derek K., Singh, Krish D., Morris, Peter G., Gowland, Penny A. and Brookes, Matthew J. (2016) Relationships between cortical myeloarchitecture and electrophysiological networks. Proceedings of the National Academy of Sciences, 113 (47). pp. 13510-13515. ISSN 1091-6490 network functional connectivity myelination magnetoencephalography MRI http://www.pnas.org/content/113/47/13510 doi:10.1073/pnas.1608587113 doi:10.1073/pnas.1608587113 |
| spellingShingle | network functional connectivity myelination magnetoencephalography MRI Hunt, Benjamin A. E. Tewarie, Prejaas K. Mougin, Olivier E. Geades, Nicolas Jones, Derek K. Singh, Krish D. Morris, Peter G. Gowland, Penny A. Brookes, Matthew J. Relationships between cortical myeloarchitecture and electrophysiological networks |
| title | Relationships between cortical myeloarchitecture and electrophysiological networks |
| title_full | Relationships between cortical myeloarchitecture and electrophysiological networks |
| title_fullStr | Relationships between cortical myeloarchitecture and electrophysiological networks |
| title_full_unstemmed | Relationships between cortical myeloarchitecture and electrophysiological networks |
| title_short | Relationships between cortical myeloarchitecture and electrophysiological networks |
| title_sort | relationships between cortical myeloarchitecture and electrophysiological networks |
| topic | network functional connectivity myelination magnetoencephalography MRI |
| url | https://eprints.nottingham.ac.uk/39415/ https://eprints.nottingham.ac.uk/39415/ https://eprints.nottingham.ac.uk/39415/ |