Abstract
Background Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understanding complex interactions of network phenomena, in general, and interactions within the migraine-generator network, in particular.
Purpose In this study, two recent modeling studies on migraine are set in the context of premonitory symptoms that are easy to confuse for trigger factors. This causality confusion is explained, if migraine attacks are initiated by a transition caused by a tipping point.
Conclusion We need to characterize the involved neuronal and autonomic subnetworks and their connections during all parts of the migraine cycle if we are ever to understand migraine. We predict that mathematical models have the potential to dismantle large and correlated fluctuations in such subnetworks as a dynamic network biomarker of migraine.
| Original language | English |
|---|---|
| Pages (from-to) | 627-630 |
| Number of pages | 4 |
| Journal | Cephalalgia |
| Volume | 35 |
| Issue number | 7 |
| Early online date | 16 Sept 2014 |
| DOIs | |
| Publication status | Published - Jun 2015 |
Bibliographical note
Date of Acceptance: 03/08/2014Funding
This work was supported by the Seventh Framework EUproject EuroHeadPain (#602633) to AM and MF and the FIRST program from JSPS, initiated by CSTP to KA
Keywords
- migraine
- tipping point
- premonitory symptoms
- triggers
- early-warning signals
- critical transitions
- complex diseases
- attacks
- aura