Structure-function clustering in multiplex brain networks
A key question in neuroscience is to understand how a rich functional repertoire of brain activity arises within relatively static networks of structurally connected neural populations: elucidating the subtle interactions between evoked "functional connectivity" and the underlying "st...
| Main Authors: | , , |
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| Format: | Article |
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European Physical Society
2016
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| Online Access: | https://eprints.nottingham.ac.uk/45538/ |
| _version_ | 1848797150075420672 |
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| author | Crofts, Jonathan J. Forrester, Michael O'Dea, Reuben D. |
| author_facet | Crofts, Jonathan J. Forrester, Michael O'Dea, Reuben D. |
| author_sort | Crofts, Jonathan J. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A key question in neuroscience is to understand how a rich functional repertoire of brain activity arises within relatively static networks of structurally connected neural populations: elucidating the subtle interactions between evoked "functional connectivity" and the underlying "structural connectivity" has the potential to address this. These structural-functional networks (and neural networks more generally) are more naturally described using a multilayer or multiplex network approach, in favour of standard single-layer network analyses that are more typically applied to such systems. In this letter, we address such issues by exploring important structure-function relations in the Macaque cortical network by modelling it as a duplex network that comprises an anatomical layer, describing the known (macro-scale) network topology of the Macaque monkey, and a functional layer derived from simulated neural activity. We investigate and characterize correlations between structural and functional layers, as system parameters controlling simulated neural activity are varied, by employing recently described multiplex network measures. Moreover, we propose a novel measure of multiplex structure-function clustering which allows us to investigate the emergence of functional connections that are distinct from the underlying cortical structure, and to highlight the dependence of multiplex structure on the neural dynamical regime. |
| first_indexed | 2025-11-14T19:59:18Z |
| format | Article |
| id | nottingham-45538 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:59:18Z |
| publishDate | 2016 |
| publisher | European Physical Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-455382020-05-04T18:21:22Z https://eprints.nottingham.ac.uk/45538/ Structure-function clustering in multiplex brain networks Crofts, Jonathan J. Forrester, Michael O'Dea, Reuben D. A key question in neuroscience is to understand how a rich functional repertoire of brain activity arises within relatively static networks of structurally connected neural populations: elucidating the subtle interactions between evoked "functional connectivity" and the underlying "structural connectivity" has the potential to address this. These structural-functional networks (and neural networks more generally) are more naturally described using a multilayer or multiplex network approach, in favour of standard single-layer network analyses that are more typically applied to such systems. In this letter, we address such issues by exploring important structure-function relations in the Macaque cortical network by modelling it as a duplex network that comprises an anatomical layer, describing the known (macro-scale) network topology of the Macaque monkey, and a functional layer derived from simulated neural activity. We investigate and characterize correlations between structural and functional layers, as system parameters controlling simulated neural activity are varied, by employing recently described multiplex network measures. Moreover, we propose a novel measure of multiplex structure-function clustering which allows us to investigate the emergence of functional connections that are distinct from the underlying cortical structure, and to highlight the dependence of multiplex structure on the neural dynamical regime. European Physical Society 2016-11-11 Article PeerReviewed Crofts, Jonathan J., Forrester, Michael and O'Dea, Reuben D. (2016) Structure-function clustering in multiplex brain networks. Europhysics Letters, 116 (1). 18003/1-18003/7. ISSN 1286-4854 http://iopscience.iop.org/article/10.1209/0295-5075/116/18003/meta doi:10.1209/0295-5075/116/18003 doi:10.1209/0295-5075/116/18003 |
| spellingShingle | Crofts, Jonathan J. Forrester, Michael O'Dea, Reuben D. Structure-function clustering in multiplex brain networks |
| title | Structure-function clustering in multiplex brain networks |
| title_full | Structure-function clustering in multiplex brain networks |
| title_fullStr | Structure-function clustering in multiplex brain networks |
| title_full_unstemmed | Structure-function clustering in multiplex brain networks |
| title_short | Structure-function clustering in multiplex brain networks |
| title_sort | structure-function clustering in multiplex brain networks |
| url | https://eprints.nottingham.ac.uk/45538/ https://eprints.nottingham.ac.uk/45538/ https://eprints.nottingham.ac.uk/45538/ |