Towards dynamical network biomarkers in neuromodulation of episodic migraine

TL;DR

This paper explores the integration of computational neuroscience and neuromodulation techniques, proposing the use of dynamical network biomarkers as early-warning signals for episodic migraine management.

Contribution

It introduces a novel strategy to apply dynamical network biomarkers in neuromodulation, specifically targeting episodic migraine using computational models.

Findings

DNB can serve as early-warning signals for migraine episodes

Computational models illustrate potential for neuromodulation timing

Fusion of computational neuroscience and neuromodulation enhances treatment strategies

Abstract

Computational methods have complemented experimental and clinical neursciences 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.