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Towards dynamical network biomarkers in neuromodulation of episodic migraine

Markus Dahlem
  • Department of Physics, AG NLD Cardiovascular Physics, Humboldt-Universität zu Berlin, Robert-Koch-Platz 4, 10115, Berlin, Germany
  • Email:
/ Sebastian Rode
  • Department of Physics, AG NLD Cardiovascular Physics, Humboldt-Universität zu Berlin, Robert-Koch-Platz 4, 10115, Berlin, Germany
  • Email:
/ Arne May
  • Center for Experimental Medicine, Department of Systems Neuroscience, Universitätsklinikum Hamburg-Eppendorf, 20246, Hamburg, Germany
  • Email:
/ Naoya Fujiwara
  • FIRST, Aihara Innovative Mathematical Modelling Project, Japan Science and Technology Agency, Tokyo, Japan
  • Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, University of Tokyo, Tokyo, 153-8505, Japan
  • Email:
/ Yoshito Hirata
  • Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, University of Tokyo, Tokyo, 153-8505, Japan
  • Email:
/ Kazuyuki Aihara
  • Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, University of Tokyo, Tokyo, 153-8505, Japan
  • Email:
/ Jürgen Kurths
  • Department of Physics, AG NLD Cardiovascular Physics, Humboldt-Universität zu Berlin, Robert-Koch-Platz 4, 10115, Berlin, Germany
  • Potsdam Institute for Climate Impact Research, 14473, Potsdam, Germany
  • Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, AB24 3UE, UK
  • Email:
Published Online: 2013-09-13 | DOI: https://doi.org/10.2478/s13380-013-0127-0


Computational methods have complemented experimental and clinical neurosciences and led to improvements in our understanding of the nervous systems in health and disease. In parallel, neuromodulation in form of electric and magnetic stimulation is gaining increasing acceptance in chronic and intractable diseases. In this paper, we firstly explore the relevant state of the art in fusion of both developments towards translational computational neuroscience. Then, we propose a strategy to employ the new theoretical concept of dynamical network biomarkers (DNB) in episodic manifestations of chronic disorders. In particular, as a first example, we introduce the use of computational models in migraine and illustrate on the basis of this example the potential of DNB as early-warning signals for neuromodulation in episodic migraine.

Keywords: Migraine; Neuromodulation; Nonlinear dynamics; Biomarkers; Spreading depression; Hodgkin-Huxley models; Central pattern generator; Pain

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About the article

Published Online: 2013-09-13

Published in Print: 2013-09-01

Citation Information: Translational Neuroscience, ISSN (Online) 2081-6936, ISSN (Print) 2081-3856, DOI: https://doi.org/10.2478/s13380-013-0127-0. Export Citation

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