ArticleNetwork neuroscience (Cambridge, Mass.)2020
Asymmetric high-order anatomical brain connectivity sculpts effective connectivity.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Structurally informed resting-state effective connectivity recapitulates cortical hierarchy.bioRxiv : the preprint server for biology · 2025Article
- Spectral imprint of structural embedding in effective connectivity.bioRxiv : the preprint server for biology · 2025Article
- Structurally informed models of directed brain connectivity.Nature reviews. Neuroscience · 2025Review
- Macroscale coupling between structural and effective connectivity in the mouse brain.Scientific reports · 2024Article
- A new causal centrality measure reveals the prominent role of subcortical structures in the causal architecture of the extended default mode network.Brain structure & function · 2023Article
- From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis.Frontiers in human neuroscience · 2022Review
- Biological constraints on neural network models of cognitive function.Nature reviews. Neuroscience · 2021Review
- Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder.NeuroImage. Clinical · 2021Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 6 countries.
Funding
Abstract
Bridging the gap between symmetric, direct white matter brain connectivity and neural dynamics that are often asymmetric and polysynaptic may offer insights into brain architecture, but this remains an unresolved challenge in neuroscience. Here, we used the graph Laplacian matrix to simulate symmetric and asymmetric high-order diffusion processes akin to particles spreading through white matter pathways. The simulated indirect structural connectivity outperformed direct as well as absent anatomical information in sculpting effective connectivity, a measure of causal and directed brain dynamics. Crucially, an asymmetric diffusion process determined by the sensitivity of the network nodes to their afferents best predicted effective connectivity. The outcome is consistent with brain regions adapting to maintain their sensitivity to inputs within a dynamic range. Asymmetric network communication models offer a promising perspective for understanding the relationship between structural and functional brain connectomes, both in normalcy and neuropsychiatric conditions.
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Registered trials
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