A Novel Hypothesis for Migraine Disease Mechanism: The Creation of a New Attractor Responsible for Migraine Disease Symptoms
Year 2024,
Volume: 6 Issue: 1, 19 - 25, 31.03.2024
Farnaz Garehdaghi
Yashar Sarbaz
,
Elham Baradari
Abstract
Migraine Disease (MD) is one of the common primary headaches that can prevent patients from their everyday life. Despite the high prevalence, the pathophysiology of the disease has not been clearly understood yet. Here, the brain is considered as a dynamical system. The Chua’s circuit with a chaotic attractor is the proposed model. This attractor has a one-scroll mode representing a healthy brain and a double-scroll mode representing a migraine sufferer brain. We believe that MD and Chua’s systems have certain behavioral similarities. The boundaries of the attractor are the sensitive brain areas in which any small trigger can start the ictal phase of the migraine. The transition from the inter-ictal phase to the ictal phase in migraine patients occurs due to a decrease in serotonin levels when the brain is within the boundaries of the first attractor. Here, this is the results of the increase of system parameters. In addition, the transition from the ictal phase to the inter-ictal phase in a migraine sufferer brain is caused by a disruption of coordination in the brain’s structures and this lasts for a certain period for every migraine patient. The structures which are the result of the Migraine Generator Network (MGN) and Cortical Spreading Depression (CSD). This explanation may propose newer methods for preventing or curing MD. To better understand MD to control it and shrink the areas involved in this disease, it is better to know the dynamic systems better. It may help prevent the formation of migraine ictal attractor or even make the migraine ictal phase attractor smaller even after it has been formed.
Thanks
This manuscript was previously made online by biorxiv.org
doi: https://doi.org/10.1101/2022.11.13.516319
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Year 2024,
Volume: 6 Issue: 1, 19 - 25, 31.03.2024
Farnaz Garehdaghi
Yashar Sarbaz
,
Elham Baradari
References
- Al-Karagholi, M. A.-M., H. Ghanizada, C. A.W. Nielsen, C. Skandarioon,
J. Snellman, et al., 2021 Opening of bkca channels causes
migraine attacks: a new downstream target for the treatment of
migraine. Pain 162: 2512–2520.
- Ashina, S., E. Bentivegna, P. Martelletti, and K. Eikermann-Haerter,
2021 Structural and functional brain changes in migraine. Pain
and Therapy 10: 211–223.
- Aslan, Z., 2021 Migraine detection from eeg signals using tunable
q-factor wavelet transform and ensemble learning techniques.
Physical and Engineering Sciences in Medicine 44: 1201–1212.
- Bayani, A., S. Jafari, J. Sprott, and B. Hatef, 2018 A chaotic model
of migraine headache considering the dynamical transitions of
this cyclic disease. Europhysics Letters 123: 10006.
- Bellotti, R., F. De Carlo, M. de Tommaso, and M. Lucente, 2007
Migraine detection through spontaneous eeg analysis. In 2007
29th Annual International Conference of the IEEE Engineering in
Medicine and Biology Society, pp. 1834–1837, IEEE.
- Bic, Z., G. G. Blix, H. P. Hopp, F. M. Leslie, and M. J. Schell, 1999 The
influence of a low-fat diet on incidence and severity of migraine
headaches. Journal of women’s health & gender-based medicine
8: 623–630.
- Chamanzar, A., M. Behrmann, and P. Grover, 2020 Ultra highdensity
eeg recording of interictal migraine and controls: Sensory
and rest.
- Charles, A., 2013 Migraine: a brain state. Current opinion in neurology
26: 235–239.
- Chua, L. O., 1993 A zoo of strange attractors from the canonical
chua’s circuits. volume 35, pp. 916–916.
- Dahlem, M. A., J. Kurths, M. D. Ferrari, K. Aihara, M. Scheffer,
et al., 2015 Understanding migraine using dynamic network
biomarkers. Cephalalgia 35: 627–630.
- Dahlem, M. A., S. Rode, A. May, N. Fujiwara, Y. Hirata, et al., 2013
Towards dynamical network biomarkers in neuromodulation of
episodic migraine. Translational neuroscience 4: 282–294.
- Goadsby, P. J., P. R. Holland, M. Martins-Oliveira, J. Hoffmann,
C. Schankin, et al., 2017 Pathophysiology of migraine: a disorder
of sensory processing. Physiological reviews .
- Haemmerl, L. and T. Kraya, 2023 Migraine and mitochondrial
diseases: Energy deficit in the brain. Schmerz (Berlin, Germany).
- Hargreaves, R. and S. Shepheard, 1999 Pathophysiology of migraine—
new insights. Canadian journal of neurological sciences
26: 12–19.
- Hauser, S. and S. A. Josephson, 2010 Harrison’s neurology in clinical
medicine. McGraw Hill Professional.
- Hoffmann, J. and A. Charles, 2018 Glutamate and its receptors as
therapeutic targets for migraine. Neurotherapeutics 15: 361–370.
- Jindal, K., R. Upadhyay, H. Singh, M. Vijay, A. Sharma, et al., 2018
Migraine disease diagnosis from eeg signals using non-linear
feature extraction technique. In 2018 IEEE International Conference
on Computational Intelligence and Computing Research (ICCIC), pp.
1–4, IEEE.
- Lane, R. and P. davies, 2006 Migraine. CRC Press.
- Lipton, R. B. and M. E. Bigal, 2006 Migraine and other Headache
Disorders. CRC Press.
- Park, C. G. and M. K. Chu, 2022 Interictal plasma glutamate levels
are elevated in individuals with episodic and chronic migraine.
Scientific Reports 12: 6921.
- Pietrobon, D. and M. A. Moskowitz, 2013 Pathophysiology of
migraine. Annual review of physiology 75: 365–391.
- Ramadan, N. M., 2003 The link between glutamate and migraine.
CNS spectrums 8: 446–449.
- Scheffer, M., A. van den Berg, and M. D. Ferrari, 2013 Migraine
strikes as neuronal excitability reaches a tipping point. PloS one
8: e72514.
- Stovner, L., K. Hagen, R. Jensen, Z. Katsarava, R. Lipton, et al., 2007
The global burden of headache: a documentation of headache
prevalence and disability worldwide. Cephalalgia 27: 193–210.