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Using computational models to relate structural and functional brain connectivity

Hlinka, Jaroslav; Coombes, Stephen

Authors

Jaroslav Hlinka



Abstract

Modern imaging methods allow a non-invasive assessment of both structural and functional brain connectivity. This has lead to
the identification of disease-related alterations affecting functional connectivity. The mechanism of how such alterations in
functional connectivity arise in a structured network of interacting neural populations is as yet poorly understood. Here we use
a modeling approach to explore the way in which this can arise and to highlight the important role that local population
dynamics can have in shaping emergent spatial functional connectivity patterns. The local dynamics for a neural population is
taken to be of the Wilson–Cowan type, whilst the structural connectivity patterns used, describing long-range anatomical
connections, cover both realistic scenarios (from the CoComac database) and idealized ones that allow for more detailed
theoretical study. We have calculated graph–theoretic measures of functional network topology from numerical simulations of
model networks. The effect of the form of local dynamics on the observed network state is quantified by examining the
correlation between structural and functional connectivity. We document a profound and systematic dependence of the
simulated functional connectivity patterns on the parameters controlling the dynamics. Importantly, we show that a weakly
coupled oscillator theory explaining these correlations and their variation across parameter space can be developed. This
theoretical development provides a novel way to characterize the mechanisms for the breakdown of functional connectivity in
diseases through changes in local dynamics.

Journal Article Type Article
Journal European Journal of Neuroscience
Print ISSN 0953-816X
Electronic ISSN 0953-816X
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 36
Issue 2
APA6 Citation Hlinka, J., & Coombes, S. Using computational models to relate structural and functional brain connectivity. European Journal of Neuroscience, 36(2), doi:10.1111/j.1460-9568.2012.08081.x
DOI https://doi.org/10.1111/j.1460-9568.2012.08081.x
Publisher URL http://onlinelibrary.wiley.com/doi/10.1111/j.1460-9568.2012.08081.x/pdf
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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