Neurophysiological features in patients with migraine at risk for epilepsy
https://doi.org/10.17749/2077-8333/epi.par.con.2021.064
Abstract
Objective: to study the electrophysiological parameters of brain bioelectric activity and features of the autonomous nervous system assessing heart rate variability, sympathetic skin response, clinical and physiological tests depending on the lateralization of migraine pain syndrome in the right or left brain hemisphere in patients with epileptic electroencephalogram (EEG) signs and migraine.
Material and methods. Thirty six patients with aura-free episodic migraine at risk of developing epilepsy and 9 age-matched healthy subjects were examined. All participants underwent EEG, clinical and physiological tests, assessment of heart rate variability and sympathetic skin response.
Results. Patients with right-hemisphere migraine headache had signs of activated sympathetic nervous system at baseline level and during exercise, lower baseline EEG epileptiform activity and in provocative tests. In contrast to the subjects of this group, patients of other group featured with a more stable migraine pain syndrome in the left hemisphere tended to dominate with functional activity of the parasympathetic system such as increased trophotropic support during exercise, as well as greater magnitude of baseline epileptiform bioelectric activity and during load tests.
Conclusion. Values of heart rate variability in combination with objective results of clinical and physiological assessment of the autonomous nervous system and electrophysiological parameters of brain bioelectric activity are reliable prognostic indicators for varying functional conditions in patients with episodic migraine.
About the Authors
N. D. SorokinaRussian Federation
Natalia D. Sorokina – Dr. Biol. Sc., Professor, Chair of Normal Physiology and Medical Physics, Faculty of Medicine
20 bld. 1 Delegatskaya Str., Moscow 127473
WoS ResearcherID: Q-8937-2018
RSCI SPIN-code: 6820-6
A. V. Tsagashek
Russian Federation
Andrey V. Tsagashek – Candidate of Chair of Nervous Diseases, Faculty of Medicine; Anesthesiologist-Resuscitator
20 bld. 1 Delegatskaya Str., Moscow 127473
21 Vuchetich Str., Moscow 127206
RSCI SPIN-code: 9519-6291
S. S. Pertsov
Russian Federation
Sergey S. Pertsov – Dr. Med. Sc., Corresponding Member of RAS, Professor, Chief of Chair of Normal Physiology and Medical Physics, Faculty of Medicine; Deputy Director for Scientific Work, Head of Laboratory of Systemic Mechanisms of Emotional Stress
20 bld. 1 Delegatskaya Str., Moscow 127473
8 Baltiyskaya Str., Moscow 125315
WoS ResearcherID: A-6697-2017
RSCI SPIN-code: 3876-0513
G. V. Selitsky
Russian Federation
Gennady V. Selitsky – Dr. Med. Sc., Professor, Chair of Nervous Diseases, Faculty of Medicine
20 bld. 1 Delegatskaya Str., Moscow 127473
WoS ResearcherID: Q-8986-2018
RSCI SPIN-code: 2173-9401
A. S. Zherdeva
Russian Federation
Arina S. Zherdeva – 6th-year Student, Laboratory Assistant, Chair of Normal Physiology and Medical Physics, Faculty of Medicine
20 bld. 1 Delegatskaya Str., Moscow 127473
RSCI SPIN-code: 9120-0283
References
1. Cianchetti C., Avanzini G., Dainese F., et al. The complex interrelations between two paroxysmal disorders: headache and epilepsy. Neurol Sci. 2017; 38 (6): 941–8. https://doi.org/10.1007/s10072-017-2926-5.
2. Duko B., Ayalew M., Toma A. The epidemiology of headaches among patients with epilepsy: a systematic review and meta-analysis. J Headache Pain. 2020; 21 (1): 3. https://doi.org/10.1186/s10194-020-1074-0.
3. Azimova Yu.E., Tabeeva G.R. Migraine and epilepsy. Epilepsia i paroksizmalʹnye sostoania / Epilepsy and Paroxysmal Conditions. 2009; 1 (1): 21–5 (in Russ.).
4. Silberstein S.D., Lipton R.B., Goatsby P.J. Headache in clinical practice. London: Martin Dunitz; 2002.
5. Karlov V.А., Inozemtseva О.S. On the problem of the relationship between migraine and epilepsy (case analysis). S.S. Korsakov Journal of Neurology and Psychiatry. 2012; 112 (6-2): 89–91 (in Russ.).
6. Karlov V.А., Zhidkova I.А., Karakhan G.V., Selitskiy G.V. Prefrontal epilepsy. S.S. Korsakov Journal of Neurology and Psychiatry. 1997; 97 (7): 8–12 (in Russ.).
7. Bjørk M., Sand T. Quantitative EEG power and asymmetry increase 36 h before a migraine attack. Cephalalgia. 2008; 28 (9): 960–8. https://doi.org/10.1111/j.1468-2982.2008.01638.x.
8. Sorokina N.D., Selitskii G.V., Zherdeva A.S. Neurobiological perspectives of biofeedback-therapy efficiency of migraine in patints with epilesy. S.S. Korsakov Journal of Neurology and Psychiatry. 2016; 116 (12): 39–43 (in Russ.). https://doi.org/10.17116/jnevro201611612139-43.
9. Veyn А.М. (Ed.) Vegetative disorders: clinic, diagnosis, treatment. Мoscow: МIА; 2003 (in Russ.).
10. Vogt B.A. Midcingulate cortex: structure, connections, homologies, functions and diseases. J Chem Neuroanat. 2016; 74: 28–46. https://doi.org/10.1016/j.jchemneu.2016.01.010.
11. Wei L., Chen H., Wu G.R. Heart rate variability associated with grey matter volumes in striatal and limbic structures of the central autonomic network. Brain Res. 2018; 1681 (15): 14–20. https://doi.org/10.1016/j.brainres.2017.12.024.
12. Fokin V.F. Dynamic functional asymmetry as a reflection of functional conditions. Assimetriya / Asymmetry. 2007; 1: 4–9 (in Russ.).
13. Sorokina N.D., Selitsky G.V., Il’ina E.S., Zherdeva A.S. Interhemispheric asymmetry of the bioelectric activity of the brain and peculiarities of regulation of cardiac rhythm in patients with migraine and epilepsy. Assimetriya / Asymmetry. 2018; 12 (1): 42–54 (in Russ.). https://doi.org/10.18454/ASY.2018.1.11859.
14. Opherk C., Coromilas J., Hirsch L.J. Heart rate and EKG changes in 102 seizures: analysis of influencing factor. Epilepsy Res. 2002; 52 (2): 117–27. https://doi.org/10.1016/s0920-1211(02)00215-2.
15. Shprakh V.V., Sinkov A.V., Sinkova G.M. Cerebrogenic disorders of rhythm and conduction of the heart in patients with epilepsy. S.S. Korsakov Journal of Neurology and Psychiatry. 2000; 100 (9): 16–20 (in Russ.).
16. Saleh Y., Kirchner A., Pauli E., et al. Temporal lobe epilepsy: effect of focus side on the autonomic regulation of heart rate? Nervenarzt. 2000; 71 (6): 477–80 (in German). https://doi.org/10.1007/s001150050610.
17. Bayevsky R.N., Ivanov G.G. Cardiac rhythm variability: the theoretical aspects and the opportunities of clinical application (lecture). Ultrasound and Functional Diagnostics. 2001; 3: 108–27 (in Russ.).
18. Sorokina N.D., Selitsky G.V., Tsagashek A.V., Zherdeva A.S. Neurophysiological parameters and the tone of the autonomic nervous system in patients with migraine and epilepsy. Epilepsia i paroksizmalʹnye sostoania / Epilepsy and Paroxysmal Conditions. 2018; 10 (2): 26–34 (in Russ.). https://doi.org/10.17749/2077-8333.2018.10.2.026-034.
19. Odinak M.M., Shustov E.B., Kolomencev S.V. Methodology instrumental study of the autonomic nervous system in norm and pathology. Bulletin of the Russian MIlitary Medical Academy. 2012; 38 (3): 145–52 (in Russ.).
20. Sorokina N.D., Selitskiĭ G.V., Terementseva E.S. Neurophysiological aspects of maxillofacial pain. S.S. Korsakov Journal of Neurology and Psychiatry. 2014; 114 (4): 105–10 (in Russ.).
21. Kremenchugskaya М.R., Oknin V.Yu., Sokolov P.L. Bioelectric brain activity in paroxysmal and chronic forms of primary headaches. S.S. Korsakov Journal of Neurology and Psychiatry. 2003; 103 (10): 38–42 (in Russ.).
22. Osipova V.V., Koreshkina M.I. Significance additional diagnostic tests in primarily and secondary headaches. The Neurological Journal. 2013; 18 (1): 4–9 (in Russ.).
23. Karlov V.А. Epilepsy in children and adult women and men. A guide for doctors. 2nd ed. Мoscow: BINOM; 2019: 896 p. (in Russ.).
24. Pillai J., Sperling M.R. Interictal EEG and the diagnosis of epilepsy. Epilepsia. 2006; 47 (Suppl. 1): 14–22. https://doi.org/10.1111/j.1528-1167.2006.00654.x.
Review
For citations:
Sorokina N.D., Tsagashek A.V., Pertsov S.S., Selitsky G.V., Zherdeva A.S. Neurophysiological features in patients with migraine at risk for epilepsy. Epilepsy and paroxysmal conditions. 2021;13(3):226-236. (In Russ.) https://doi.org/10.17749/2077-8333/epi.par.con.2021.064

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