Towards dynamical network biomarkers in neuromodulation of episodic migraine

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

doi:10.2478/s13380-013-0127-0

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 journal › Literature review › peer-review

20 Citations (Scopus)

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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 language	English
Pages (from-to)	282-294
Number of pages	13
Journal	Translational neuroscience
Volume	4
Issue number	3
DOIs	https://doi.org/10.2478/s13380-013-0127-0
Publication status	Published - 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

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10.2478/s13380-013-0127-0Licence: CC BY-NC-ND

s13380-013-0127-0
This is an open access article under the terms of the Creative Common Attribution-NonCommercial-NoDerivatives 3.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by-nc-nd/3.0/
Final published version, 7.67 MBLicence: CC BY-NC-ND

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@article{9f62cf84b2444b9f9988d69c40ac7da0,

title = "Towards dynamical network biomarkers in neuromodulation of episodic migraine",

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.",

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",

author = "Dahlem, {Markus A.} and Sebastian Rode and Arne May and Naoya Fujiwara and Yoshito Hirata and Kazuyuki Aihara and Juergen Kurths",

note = "The authors kindly acknowledge the support of M.A.D. from the undesministerium f{\"u}r Bildung und Forschung (BMBF 01GQ1109) and of A.M. by the German Research Foundation (SFB936/ A5). N.F., Y.H., and K.A. are supported by the Aihara Innovative Mathematical Modelling Project, the Japan Society for the Promotion of Science (JSPS) through its ”Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST Program),“ initiated by the Council for Science and Technology Policy (CSTP). The authors also kindly acknowledge helpful discussions with Luonan Chen and Rui Liu",

year = "2013",

month = sep,

doi = "10.2478/s13380-013-0127-0",

language = "English",

volume = "4",

pages = "282--294",

journal = "Translational neuroscience",

issn = "2081-3856",

publisher = "De Gruyter Open Ltd.",

number = "3",

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TY - JOUR

T1 - Towards dynamical network biomarkers in neuromodulation of episodic migraine

AU - Dahlem, Markus A.

AU - Rode, Sebastian

AU - May, Arne

AU - Fujiwara, Naoya

AU - Hirata, Yoshito

AU - Aihara, Kazuyuki

AU - Kurths, Juergen

N1 - The authors kindly acknowledge the support of M.A.D. from the undesministerium für Bildung und Forschung (BMBF 01GQ1109) and of A.M. by the German Research Foundation (SFB936/ A5). N.F., Y.H., and K.A. are supported by the Aihara Innovative Mathematical Modelling Project, the Japan Society for the Promotion of Science (JSPS) through its ”Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST Program),“ initiated by the Council for Science and Technology Policy (CSTP). The authors also kindly acknowledge helpful discussions with Luonan Chen and Rui Liu

PY - 2013/9

Y1 - 2013/9

N2 - 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.

AB - 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.

KW - Migraine

KW - Neuromodulation

KW - Nonlinear dynamics

KW - Biomarkers

KW - Spreading depression

KW - Hodgkin-Huxley models

KW - Central pattern generator

KW - Pain

KW - Cortical spreading depression

KW - actvity patterns

KW - controlled-trial

KW - visual-cortex

KW - basal ganglia

KW - aura

KW - model

KW - headache

KW - stimulation

KW - triggers

U2 - 10.2478/s13380-013-0127-0

DO - 10.2478/s13380-013-0127-0

M3 - Literature review

VL - 4

SP - 282

EP - 294

JO - Translational neuroscience

JF - Translational neuroscience

SN - 2081-3856

IS - 3

ER -

Towards dynamical network biomarkers in neuromodulation of episodic migraine

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Keywords

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