Understanding migraine using dynamic network biomarkers.

Journal: Cephalalgia : an international journal of headache
Published Date: Jun 1, 2015

Abstract

BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understanding complex interactions of network phenomena, in general, and interactions within the migraine-generator network, in particular.

Authors

  • Markus A Dahlem
    Department of Physics, Nonlinear Dynamics, Cardiovascular Physics, Humboldt-Universität zu Berlin, Germany dahlem@physik.hu-berlin.de.
  • Jürgen Kurths
    Department of Physics, Nonlinear Dynamics, Cardiovascular Physics, Humboldt-Universität zu Berlin, Germany Potsdam Institute for Climate Impact Research, Germany Institute for Complex Systems and Mathematical Biology, University of Aberdeen, UK.
  • Michel D Ferrari
    Department of Neurology, Leiden University Medical Centre, the Netherlands.
  • Kazuyuki Aihara
    Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, University of Tokyo, Japan.
  • Marten Scheffer
    Department of Aquatic Ecology & Water Quality Management, Wageningen University, the Netherlands.
  • Arne May
    Center for Experimental Medicine, Department of Systems Neuroscience, Universitätsklinikum Hamburg-Eppendorf, Germany.

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