Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.

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 2 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 2 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 neu

SUBMITTER: Shafiei G 

PROVIDER: S-EPMC9371256 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature