Towards dynamical network biomarkers in neuromodulation of episodic migraine

Markus A. Dahlem, Sebastian Rode, Arne May, Naoya Fujiwara, Yoshito Hirata, Kazuyuki Aihara, Jürgen Kurths

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)282-294
Number of pages13
JournalTranslational Neuroscience
Issue number3
Publication statusPublished - 2013 Sept
Externally publishedYes


  • Biomarkers
  • Central pattern generator
  • Hodgkin-Huxley models
  • Migraine
  • Neuromodulation
  • Nonlinear dynamics
  • Pain
  • Spreading depression

ASJC Scopus subject areas

  • Neuroscience(all)


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