Unknown

Dataset Information

0

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


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.

SUBMITTER: Messe A 

PROVIDER: S-EPMC4297952 | BioStudies | 2015-01-01T00:00:00Z

REPOSITORIES: biostudies

Similar Datasets

2018-01-01 | S-EPMC5908206 | BioStudies
2019-01-01 | S-EPMC6542620 | BioStudies
2018-01-01 | S-EPMC5842729 | BioStudies
2016-01-01 | S-EPMC6867479 | BioStudies
2014-01-01 | S-EPMC4013022 | BioStudies
2017-01-01 | S-EPMC6867028 | BioStudies
2014-01-01 | S-EPMC3942412 | BioStudies
2019-01-01 | S-EPMC6536693 | BioStudies
2018-01-01 | S-EPMC6170160 | BioStudies
2015-01-01 | S-EPMC4559598 | BioStudies