Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks
•We comprehensively study structure-function coupling between dMRI-derived structural connectivity and MEG/fMRI-derived functional connectivity.•We show consistently spatially heterogeneous structure-function coupling across modalities.•We find stronger coupling in slower and intermediate frequency...
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| Veröffentlicht in: | NeuroImage (Orlando, Fla.) Jg. 278; S. 120276 |
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| Sprache: | Englisch |
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Elsevier Inc
01.09.2023
Elsevier Limited Elsevier |
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| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
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| Abstract | •We comprehensively study structure-function coupling between dMRI-derived structural connectivity and MEG/fMRI-derived functional connectivity.•We show consistently spatially heterogeneous structure-function coupling across modalities.•We find stronger coupling in slower and intermediate frequency bands.•Network communication models capture different coupling patterns in different bands.•Structure-function coupling reflects the sensorimotor-association axis and laminar differentiation.
The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain. |
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| AbstractList | •We comprehensively study structure-function coupling between dMRI-derived structural connectivity and MEG/fMRI-derived functional connectivity.•We show consistently spatially heterogeneous structure-function coupling across modalities.•We find stronger coupling in slower and intermediate frequency bands.•Network communication models capture different coupling patterns in different bands.•Structure-function coupling reflects the sensorimotor-association axis and laminar differentiation.
The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain. The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain. The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain.The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both neurophysiological (MEG-based) and haemodynamic (fMRI-based) recordings. We find that structure-function coupling is heterogeneous across brain regions and frequency bands. The link between structural and functional connectivity is generally stronger in multiple MEG frequency bands compared to resting state fMRI. Structure-function coupling is greater in slower and intermediate frequency bands compared to faster frequency bands. We also find that structure-function coupling systematically follows the archetypal sensorimotor-association hierarchy, as well as patterns of laminar differentiation, peaking in granular layer IV. Finally, structure-function coupling is better explained using structure-informed inter-regional communication metrics than using structural connectivity alone. Collectively, these results place neurophysiological and haemodynamic structure-function relationships in a common frame of reference and provide a starting point for a multi-modal understanding of structure-function coupling in the brain. |
| ArticleNumber | 120276 |
| Author | Baillet, Sylvain Shafiei, Golia Misic, Bratislav Liu, Zhen-Qi |
| Author_xml | – sequence: 1 givenname: Zhen-Qi orcidid: 0000-0003-0917-7905 surname: Liu fullname: Liu, Zhen-Qi organization: McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada – sequence: 2 givenname: Golia surname: Shafiei fullname: Shafiei, Golia organization: Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA – sequence: 3 givenname: Sylvain orcidid: 0000-0002-6762-5713 surname: Baillet fullname: Baillet, Sylvain organization: McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada – sequence: 4 givenname: Bratislav orcidid: 0000-0003-0307-2862 surname: Misic fullname: Misic, Bratislav email: bratislav.misic@mcgill.ca organization: McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37451374$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1002_brb3_70871 crossref_primary_10_1016_j_isci_2024_111111 crossref_primary_10_1038_s41592_025_02704_4 crossref_primary_10_1038_s42003_024_05927_x crossref_primary_10_1007_s00429_025_02909_5 crossref_primary_10_1038_s41583_023_00752_3 crossref_primary_10_1162_netn_a_00444 crossref_primary_10_1016_j_neuroimage_2024_120902 crossref_primary_10_1016_j_ijpsycho_2025_112586 crossref_primary_10_1016_j_neuroimage_2025_121195 crossref_primary_10_1038_s41598_024_79817_x |
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| Copyright | 2023 Copyright © 2023. Published by Elsevier Inc. Copyright Elsevier Limited Sep 2023 |
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| Snippet | •We comprehensively study structure-function coupling between dMRI-derived structural connectivity and MEG/fMRI-derived functional connectivity.•We show... The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function... |
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| StartPage | 120276 |
| SubjectTerms | Brain Brain - physiology Brain mapping Brain Mapping - methods Communication Connectome - methods Cortical hierarchy Cytoarchitecture fMRI Functional magnetic resonance imaging Hemodynamics Humans Magnetic Resonance Imaging - methods Magnetoencephalography - methods MEG Neocortex Nerve Net - diagnostic imaging Nerve Net - physiology Network communication Neural networks Neurosciences Sensorimotor system Structure-function coupling Structure-function relationships |
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| Title | Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks |
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