Large-Scale Neural Network Model for Functional Networks of the Human Cortex

  • Vesna VuksanovićEmail author
  • Philipp Hövel
Conference paper
Part of the Understanding Complex Systems book series (UCS)


We investigate the influence of indirect connections, interregional distance and collective effects on the large-scale functional networks of the human cortex. We study topologies of empirically derived resting state networks (RSNs), extracted from fMRI data, and model dynamics on the obtained networks. The RSNs are calculated from mean time-series of blood-oxygen-level-dependent (BOLD) activity of distinct cortical regions via Pearson correlation coefficients. We compare functional-connectivity networks of simulated BOLD activity as a function of coupling strength and correlation threshold. Neural network dynamics underpinning the BOLD signal fluctuations are modelled as excitable FitzHugh-Nagumo oscillators subject to uncorrelated white Gaussian noise and time-delayed interactions to account for the finite speed of the signal propagation along the axons. We discuss the functional connectivity of simulated BOLD activity in dependence on the signal speed and correlation threshold and compare it to the empirical data.


Functional connectivity Resting state networks Time-delays 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institut Für Theoretische PhysikTechnische Universität BerlinBerlinGermany
  2. 2.Bernstein Center for Computational NeuroscienceHumboldt-Universität Zu BerlinBerlinGermany
  3. 3.Center for Complex Network ResearchNortheastern UniversityBostonUSA

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