| Issue |
EPL
Volume 123, Number 1, July 2018
|
|
|---|---|---|
| Article Number | 10006 | |
| Number of page(s) | 6 | |
| Section | General | |
| DOI | https://doi.org/10.1209/0295-5075/123/10006 | |
| Published online | 10 August 2018 | |
A chaotic model of migraine headache considering the dynamical transitions of this cyclic disease
1 Department of Biomedical Engineering, Amirkabir University of Technology - Tehran, Iran
2 Department of Physics, University of Wisconsin - Madison, WI, USA
3 Neuroscience Research Center, Baqiyatallah University of Medical Sciences - Tehran, Iran
Received: 2 June 2018
Accepted: 17 July 2018
Migraine is one of the primary headache disorders in a group of the ten most prevalent and disabling diseases. There are some valuable computational models of this disease which considered the onset and spatial patterns of migraine pain. Here we focus on dynamical transitions of this cyclic disease using the subnetworks which are essential in its complex network. Regarding the dynamical diseases theory, we propose a dynamical network biomarker for this disease that can predict the upcoming prodromal phase for clinical use. In this research, we use the bifurcation diagram as a tool to show the prediction of the model as the considered physiological parameter of the model changes.
PACS: 05.45.-a – Nonlinear dynamics and chaos / 05.45.Pq – Numerical simulations of chaotic systems / 07.05.Tp – Computer modeling and simulation
© EPLA, 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.