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A New Method for Evaluating the Dynamics of Human Brain Networks Using Complex-Systems

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Nano-Net (NanoNet 2009)

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Abstract

To understand the temporal dynamics of brain networks, we applied a model based on complex-systems for brain networks, with a new measure of stability that corresponds to the network integrated with multiple oscillators. The simulation demonstrated that elementary coupled network shows high stability measure. This is the first step in our efforts to estimate the temporal dynamics of human brain networks.

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References

  1. Dosenbach, N.U.F., et al.: A dual-network architecture of top-down control. Trends in Cognitive Sciences 12(3), 99–105 (2008)

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Authors and Affiliations

  1. Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology, Kobe, Japan

    Jian-Qin Liu, Shigeyuki Kan, Takahiko Koike & Satoru Miyauchi

  2. CREST, Japan Science and Technology Agency (JST), Kawaguchi, Japan

    Shigeyuki Kan, Takahiko Koike & Satoru Miyauchi

Authors
  1. Jian-Qin Liu
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  2. Shigeyuki Kan
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  3. Takahiko Koike
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  4. Satoru Miyauchi
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Editor information

Editors and Affiliations

  1. Microelectronic Systems Laboratory STI-LSM, Swiss Federal Institute of Technology EPFL, ELD339 Btiment ELD, Station 11, 1015, Lausanne, Switzerland

    Alexandre Schmid

  2. Business Administration, State University of New York,, 310b, 1400 Washington Ave.,, 12222, Albany, NY, USA

    Sanjay Goel

  3. College of Nanoscale Science and Engineering, University of Albany, 12222, Albany, NY, USA

    Wei Wang

  4. College of Information Technology, UAE University, P.O. Box 17555, Al Ain, Abu Dhabi, United Arab Emirates

    Valeriu Beiu

  5. Lausanne EPFL IC ISIM LSI1 INF 333 (Btment INF) Station 14, Swiss Federal Institute of Technology, CH-1015, Lausanne, Switzerland

    Sandro Carrara

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Liu, JQ., Kan, S., Koike, T., Miyauchi, S. (2009). A New Method for Evaluating the Dynamics of Human Brain Networks Using Complex-Systems. In: Schmid, A., Goel, S., Wang, W., Beiu, V., Carrara, S. (eds) Nano-Net. NanoNet 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04850-0_30

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  • DOI: https://doi.org/10.1007/978-3-642-04850-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04849-4

  • Online ISBN: 978-3-642-04850-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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