- Poster presentation
- Open Access
Is it right to estimate inter-modular connectivity from local field potentials?
© Cui et al. 2015
- Published: 18 December 2015
- Magnetic Resonance Imaging
- Animal Model
- Complex System
- Human Brain
- Strong Coupling
Human brains with hundreds of billions of neurons are organized in a hierarchical modular network. There have been many attempts to estimate inter-modular connectivity utilizing coherent neuronal activities of a huge number of neurons, such as the electro-encephalogram, the magneto-encephalogram, and the functional magnetic resonance imaging. Here we ask a question: Is the inter-modular connectivity estimated from the modular activities consistent with the inter-modular connectivity that could be extracted from the network connectivity of individual nodes?
For strong coupling strength, it is shown in Figure 1(B) that the inverse phase synchronization index grows linearly with the number of links connecting two modules. This result enables us to estimate the inter-modular connectivity in various complex systems from the inverse phase synchronization index of the mesoscopic modular activities.
- Schelter B, Winterhalder M, Dahlhaus R, Kurths J, Timmer J: Partial phase synchronization for multivariate synchronizing systems,. Phys. Rev. Lett. 2006, 96: 208103-PubMedView ArticleGoogle Scholar
- Kim S, Cui X-M, Yoon CN, Ta HX, Han SK: Estimating network link weights from inverse phase synchronization indices. Europhys. Lett. 2011, 96: 20006-View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.