Communication dynamics in complex brain networks
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....
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| Published in | Nature reviews. Neuroscience Vol. 19; no. 1; p. 17 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Nature Publishing Group
01.01.2018
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| Subjects | |
| Online Access | Get full text |
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| 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. |
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| AbstractList | 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. |
| Author | Sporns, Olaf Avena-Koenigsberger, Andrea Misic, Bratislav |
| Author_xml | – sequence: 1 givenname: Andrea surname: Avena-Koenigsberger fullname: Avena-Koenigsberger, Andrea organization: Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405, USA – sequence: 2 givenname: Bratislav surname: Misic fullname: Misic, Bratislav organization: Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada – sequence: 3 givenname: Olaf surname: Sporns fullname: Sporns, Olaf organization: IU Network Science Institute, Indiana University, Bloomington, Indiana 47405, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29238085$$D View this record in MEDLINE/PubMed |
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