Towards dynamical network biomarkers in neuromodulation of episodic migraine

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

*Corresponding author for this work

Research output: Contribution to journalLiterature review

18 Citations (Scopus)
6 Downloads (Pure)

Abstract

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
Volume4
Issue number3
DOIs
Publication statusPublished - Sep 2013

Keywords

  • Migraine
  • Neuromodulation
  • Nonlinear dynamics
  • Biomarkers
  • Spreading depression
  • Hodgkin-Huxley models
  • Central pattern generator
  • Pain
  • Cortical spreading depression
  • actvity patterns
  • controlled-trial
  • visual-cortex
  • basal ganglia
  • aura
  • model
  • headache
  • stimulation
  • triggers

Cite this

Dahlem, M. A., Rode, S., May, A., Fujiwara, N., Hirata, Y., Aihara, K., & Kurths, J. (2013). Towards dynamical network biomarkers in neuromodulation of episodic migraine. Translational neuroscience, 4(3), 282-294. https://doi.org/10.2478/s13380-013-0127-0