ArticleScientific reports2015
A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
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- The effect of deep brain stimulation on cortico-subcortical networks in Parkinson's disease patients with freezing of gait: Exhaustive exploration of a basic model.Network neuroscience (Cambridge, Mass.) · 2024Article
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- Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures.Network neuroscience (Cambridge, Mass.) · 2022Article
- The brainstem connectome database.Scientific data · 2022Article
- A Riemannian Revisiting of Structure-Function Mapping Based on Eigenmodes.Frontiers in neuroimaging · 2022Article
- Two classes of functional connectivity in dynamical processes in networks.Journal of the Royal Society, Interface · 2021Article
- Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes.NeuroImage · 2021Article
- Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning.Computational intelligence and neuroscience · 2021Review
- Determination of Dynamic Brain Connectivity via Spectral Analysis.Frontiers in human neuroscience · 2021Article
- Link-usage asymmetry and collective patterns emerging from rich-club organization of complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The role of node dynamics in shaping emergent functional connectivity patterns in the brain.Network neuroscience (Cambridge, Mass.) · 2020Article
- Article
- Topological reinforcement as a principle of modularity emergence in brain networks.Network neuroscience (Cambridge, Mass.) · 2019Article
- Modeling and interpreting mesoscale network dynamics.NeuroImage · 2018Review
- What We Know About the Brain Structure-Function Relationship.Behavioral sciences (Basel, Switzerland) · 2018Review
- Toward a theory of coactivation patterns in excitable neural networks.PLoS computational biology · 2018Article
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4 authors.
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Abstract
The relationship between the structural connectivity (SC) and functional connectivity (FC) of neural systems is a central focus in brain network science. It is an open question, however, how strongly the SC-FC relationship depends on specific topological features of brain networks or the models used for describing excitable dynamics. Using a basic model of discrete excitable units that follow a susceptible - excited - refractory dynamic cycle (SER model), we here analyze how functional connectivity is shaped by the topological features of a neural network, in particular its modularity. We compared the results obtained by the SER model with corresponding simulations by another well established dynamic mechanism, the Fitzhugh-Nagumo model, in order to explore general features of the SC-FC relationship. We showed that apparent discrepancies between the results produced by the two models can be resolved by adjusting the time window of integration of co-activations from which the FC is derived, providing a clearer distinction between co-activations and sequential activations. Thus, network modularity appears as an important factor shaping the FC-SC relationship across different dynamic models.
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