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Hierarchical decoupling of electromagnetic and haemodynamic cortical networks

View ORCID ProfileGolia Shafiei, View ORCID ProfileSylvain Baillet, View ORCID ProfileBratislav Misic
doi: https://doi.org/10.1101/2021.09.07.458941
Golia Shafiei
1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada
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Sylvain Baillet
1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada
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Bratislav Misic
1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada
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  • For correspondence: bratislav.misic@mcgill.ca
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Abstract

Whole-brain neural communication is typically estimated from statistical associations among electromagnetic or haemodynamic time-series. The relationship between functional network architectures recovered from these two types of neural activity remains unknown. Here we map electromagnetic networks (measured using magnetoencephalography; MEG) to haemodynamic networks (measured using functional magnetic resonance imaging; fMRI). We find that the relationship between the two modalities is regionally heterogeneous and systematically follows the cortical hierarchy, with close correspondence in unimodal cortex and poor correspondence in transmodal cortex. Comparison with the BigBrain histological atlas reveals that electromagnetic-haemodynamic coupling is driven by laminar differentiation and neuron density, suggesting that the mapping between the two modalities can be explained by cytoarchitectural variation. Importantly, haemodynamic connectivity cannot be explained by electromagnetic activity in a single frequency band, but rather arises from the mixing of multiple neurophysiological rhythms. Correspondence between the two is largely driven by slower rhythms, particularly the beta (15-29 Hz) frequency band. Collectively, these findings demonstrate highly organized but only partly overlapping patterns of connectivity in MEG and fMRI functional networks, opening fundamentally new avenues for studying the relationship between cortical micro-architecture and multi-modal connectivity patterns.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted February 19, 2022.
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Hierarchical decoupling of electromagnetic and haemodynamic cortical networks
Golia Shafiei, Sylvain Baillet, Bratislav Misic
bioRxiv 2021.09.07.458941; doi: https://doi.org/10.1101/2021.09.07.458941
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Hierarchical decoupling of electromagnetic and haemodynamic cortical networks
Golia Shafiei, Sylvain Baillet, Bratislav Misic
bioRxiv 2021.09.07.458941; doi: https://doi.org/10.1101/2021.09.07.458941

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