A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks

Autor(en): Messe, Arnaud 
Huett, Marc-Thorsten
Koenig, Peter 
Hilgetag, Claus C.
Stichwörter: Multidisciplinary Sciences; RESTING-STATE; Science & Technology - Other Topics; TOPOLOGY
Erscheinungsdatum: 2015
Volumen: 5
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.
ISSN: 20452322
DOI: 10.1038/srep07870

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