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Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses
Fig 7
Gap junction coupling supports rich and dynamic neural activity.
Direct simulations of the network model (7)–(10) (together with connectomic and delay data described in Section Structural connectivity and path-length data) provide simulated data in the absence (
) and presence (
and 
) of gap junction coupling; dynamic FC (dFC) matrices are obtained by employing the RE component of node activity. A Network averaged structure-function clustering coefficient 
(19) computed via simulated MEG dFC (see Section Functional Connectivity) for each of the listed frequency bands using a sliding time window of width 10 s and 90% overlap. B Following [75], the instantaneous phase of synthetic BOLD signals (17) is computed with the Hilbert transform and used to compute dFC matrices whose entries comprise the cosine of the pairwise phase differences. To interrogate their time-variation, the leading eigenvector (that corresponding to the largest eigenvalue) and the vector of upper triangular values is extracted and time-correlation assessed via Pearson correlation.
doi: https://doi.org/10.1371/journal.pcbi.1012647.g007