Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging
With the increasing success of mapping brain networks and availability of multiple MR- and PET-based connectivity measures, the need for novel methodologies to unravel the structure and function of the brain at multiple spatial and temporal scales is emerging. Therefore, in this work, we used hybrid...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Neuroimaging |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnimg.2023.1115965/full |
| _version_ | 1827164499254181888 |
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| author | Martijn Devrome Koen Van Laere Koen Van Laere Michel Koole |
| author_facet | Martijn Devrome Koen Van Laere Koen Van Laere Michel Koole |
| author_sort | Martijn Devrome |
| collection | DOAJ |
| description | With the increasing success of mapping brain networks and availability of multiple MR- and PET-based connectivity measures, the need for novel methodologies to unravel the structure and function of the brain at multiple spatial and temporal scales is emerging. Therefore, in this work, we used hybrid PET-MR data of healthy volunteers (n = 67) to identify multiplex core nodes in the human brain. First, monoplex networks of structural, functional and metabolic connectivity were constructed, and consequently combined into a multiplex SC-FC-MC network by linking the same nodes categorically across layers. Taking into account the multiplex nature using a tensorial approach, we identified a set of core nodes in this multiplex network based on a combination of eigentensor centrality and overlapping degree. We introduced a coreness coefficient, which mitigates the effect of modeling parameters to obtain robust results. The proposed methodology was applied onto young and elderly healthy volunteers, where differences observed in the monoplex networks persisted in the multiplex as well. The multiplex core showed a decreased contribution to the default mode and salience network, while an increased contribution to the dorsal attention and somatosensory network was observed in the elderly population. Moreover, a clear distinction in eigentensor centrality was found between young and elderly healthy volunteers. |
| first_indexed | 2024-03-12T14:56:33Z |
| format | Article |
| id | doaj.art-64e55cd63ab44294bbad1556d791a227 |
| institution | Directory Open Access Journal |
| issn | 2813-1193 |
| language | English |
| last_indexed | 2025-03-21T01:17:34Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroimaging |
| spelling | doaj.art-64e55cd63ab44294bbad1556d791a2272024-08-03T02:30:59ZengFrontiers Media S.A.Frontiers in Neuroimaging2813-11932023-08-01210.3389/fnimg.2023.11159651115965Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imagingMartijn Devrome0Koen Van Laere1Koen Van Laere2Michel Koole3Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, Katholieke Universiteit (KU) Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, Katholieke Universiteit (KU) Leuven, Leuven, BelgiumDivision of Nuclear Medicine, Universitair Ziekenhuis (UZ) Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, Katholieke Universiteit (KU) Leuven, Leuven, BelgiumWith the increasing success of mapping brain networks and availability of multiple MR- and PET-based connectivity measures, the need for novel methodologies to unravel the structure and function of the brain at multiple spatial and temporal scales is emerging. Therefore, in this work, we used hybrid PET-MR data of healthy volunteers (n = 67) to identify multiplex core nodes in the human brain. First, monoplex networks of structural, functional and metabolic connectivity were constructed, and consequently combined into a multiplex SC-FC-MC network by linking the same nodes categorically across layers. Taking into account the multiplex nature using a tensorial approach, we identified a set of core nodes in this multiplex network based on a combination of eigentensor centrality and overlapping degree. We introduced a coreness coefficient, which mitigates the effect of modeling parameters to obtain robust results. The proposed methodology was applied onto young and elderly healthy volunteers, where differences observed in the monoplex networks persisted in the multiplex as well. The multiplex core showed a decreased contribution to the default mode and salience network, while an increased contribution to the dorsal attention and somatosensory network was observed in the elderly population. Moreover, a clear distinction in eigentensor centrality was found between young and elderly healthy volunteers.https://www.frontiersin.org/articles/10.3389/fnimg.2023.1115965/fullbrain connectivityPET-MR imagingmultilayer networkstructural connectivityfunctional connectivitymetabolic connectivity |
| spellingShingle | Martijn Devrome Koen Van Laere Koen Van Laere Michel Koole Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging Frontiers in Neuroimaging brain connectivity PET-MR imaging multilayer network structural connectivity functional connectivity metabolic connectivity |
| title | Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging |
| title_full | Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging |
| title_fullStr | Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging |
| title_full_unstemmed | Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging |
| title_short | Multiplex core of the human brain using structural, functional and metabolic connectivity derived from hybrid PET-MR imaging |
| title_sort | multiplex core of the human brain using structural functional and metabolic connectivity derived from hybrid pet mr imaging |
| topic | brain connectivity PET-MR imaging multilayer network structural connectivity functional connectivity metabolic connectivity |
| url | https://www.frontiersin.org/articles/10.3389/fnimg.2023.1115965/full |
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