Communication dynamics in complex brain networks. Avena-Koenigsberger, A., Misic, B., & Sporns, O. Nature Reviews Neuroscience, 19(1):17–33, January, 2018. ![Communication dynamics in complex brain networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Neuronal signalling and communication underpin virtually all aspects of brain activity and function. Network science approaches to modelling and analysing the dynamics of communication on networks have proved useful for simulating functional brain connectivity and predicting emergent network states. This Review surveys important aspects of communication dynamics in brain networks. We begin by sketching a conceptual framework that views communication dynamics as a necessary link between the empirical domains of structural and functional connectivity. We then consider how different local and global topological attributes of structural networks support potential patterns of network communication, and how the interactions between network topology and dynamic models can provide additional insights and constraints. We end by proposing that communication dynamics may act as potential generative models of effective connectivity and can offer insight into the mechanisms by which brain networks transform and process information.
@article{avena-koenigsberger_communication_2018,
title = {Communication dynamics in complex brain networks},
volume = {19},
issn = {1471-003X, 1471-0048},
url = {http://www.nature.com/articles/nrn.2017.149},
doi = {10/gcn72x},
abstract = {Neuronal signalling and communication underpin virtually all aspects of brain activity and function. Network science approaches to modelling and analysing the dynamics of communication on networks have proved useful for simulating functional brain connectivity and predicting emergent network states. This Review surveys important aspects of communication dynamics in brain networks. We begin by sketching a conceptual framework that views communication dynamics as a necessary link between the empirical domains of structural and functional connectivity. We then consider how different local and global topological attributes of structural networks support potential patterns of network communication, and how the interactions between network topology and dynamic models can provide additional insights and constraints. We end by proposing that communication dynamics may act as potential generative models of effective connectivity and can offer insight into the mechanisms by which brain networks transform and process information.},
language = {en},
number = {1},
urldate = {2023-01-03},
journal = {Nature Reviews Neuroscience},
author = {Avena-Koenigsberger, Andrea and Misic, Bratislav and Sporns, Olaf},
month = jan,
year = {2018},
pages = {17--33},
}
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