RT Journal Article
SR Electronic
T1 Hierarchical decoupling of electromagnetic and haemodynamic cortical networks
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.09.07.458941
DO 10.1101/2021.09.07.458941
A1 Shafiei, Golia
A1 Baillet, Sylvain
A1 Misic, Bratislav
YR 2022
UL http://biorxiv.org/content/early/2022/02/19/2021.09.07.458941.abstract
AB 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 StatementThe authors have declared no competing interest.