ArticlePLoS biology2022
Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.
Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
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- Linking human brain functional connectivity to underlying neurotransmission.bioRxiv : the preprint server for biology · 2026Article
- Decoupling of neurophysiological activity from structure mirrors global microarchitectural and neuromodulatory trends.Communications biology · 2026Article
- Brain energetic landscapes shape state dysregulation in major depressive disorder: a morphological network controllability perspective.Translational psychiatry · 2026Article
- The role of white matter myelin in structural-functional network coupling.Communications biology · 2026Article
- Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease.Research square · 2026Article
- Hierarchical Flows of Human Cortical Activity.bioRxiv : the preprint server for biology · 2026Article
- Controlling the human connectome with spatially diffuse input signals.Communications biology · 2026Article
- Five energy metabolism pathways show distinct regional distributions and lifespan trajectories in the human brain.PLoS biology · 2026Article
- Brain Network Signature of Autoscopic Phenomena in Humans.CNS neuroscience & therapeutics · 2025Article
- Estimating Brain Similarity Networks With Diffusion MRI.Human brain mapping · 2025Article
- Genetic foundations of interindividual neurophysiological variability.Science advances · 2025Article
- Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI.Communications biology · 2025Article
- Benchmarking methods for mapping functional connectivity in the brain.Nature methods · 2025Article
- A multiplex of connectome trajectories enables several connectivity patterns in parallel.eLife · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- General anaesthesia decreases the uniqueness of brain functional connectivity across individuals and species.Nature human behaviour · 2025Article
- Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025Article
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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 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 neuron density, suggesting that the mapping between the 2 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 MEG functional connectivity at the beta (15 to 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 microarchitecture and multimodal connectivity patterns.
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