DOI:

Inventory reference

ISSN 1812-7231 Klin.inform.telemed. Volume 16, Issue 17, 2021, Pages 00-00

Author(s)

Mayorov O.Yu., Chernenko A.G.

Institution(s)

Kharkiv Medical Academy of Postgraduate Education

Article title

Investigation of the functional state of the brain in patients with episodic migraine according to spectral analysis of EEG

Abstract (resume)

Aim. To investigate the functional state of the brain in patients with episodic migraine according to the spectral analysis of EEG.

Materials and methods. The study included 26 patients (23 women, 3 men) aged from 25 to 58 (mean 37.65 ± 10.61 years). Patients had episodic migraine with a typical aura - 1 (3.85%) and without aura - 25 (96.15%). Among patients with migraine, 16 (61.54%) had concomitant cervicalgia.
Electroencephalography (EEG) was performed using a 24-channel electroencephalograph "DX-system" (Ukraine), with a sampling frequency of 400 Hz and 16-bit resolution, placement of electrodes in the scheme 10-20 using a reference electrode. The background recording of the EEG in a state of relaxed wakefulness with closed eyes and a functional test with an intellectual load were analyzed. Visual and spectral EEG analysis was performed using the computer EEG system NeuroResearcher®Innovation Suite (Mi&T Institute, Ukraine). Significance of differences between groups for each of the indicators was determined using non-parametric methods of Mann-Whitney and Wilcoxon (Statistica 13.0).

Results. EEG visual analysis revealed nonspecific changes in the bioelectrical activity of the brain, such as a decrease in the amplitude and unevenness of the alpha rhythm, the predominance of fast waves, and the smoothness of zonal differences. Paroxysmal activity was in the form of single flashes of acute waves in 3 (11.53%), outbreaks of alpha and theta activity in 18 patients (69.23%).
Spectral analysis of the EEG in the interictal period showed an increase in the peak frequency of delta and theta activity and changes in the peak frequency in the beta range in the frontotemporal regions. Power of delta and theta activity increased in the frontotemporal regions.

Keywords

episodic migraine, electroencephalography, spectral analysis

References

1. Martins I. P., Westerfield M., Lopes M., Maruta C., & Gil-da-Costa R. Brain state monitoring for the future prediction of migraine attacks. Cephalalgia, 2020, vol. 40, no. 3, pp. 255–265.
https://doi.org/10.1177/0333102419877660

2. Marina de Tommaso. An update on EEG in migraine, Expert Review of Neurotherapeutics, 2019, vol. 19, no. 8, pp. 729-737.
https://doi.org/10.1080/14737175.2019.1586534

3. Javier Gomez-Pilar, David García-Azorín, Claudia Gomez-Lopez-de-San-Roman, Ángel L Guerrero, Roberto Hornero. Exploring EEG Spectral Patterns in Episodic and Chronic Migraine During the Interictal State: Determining Frequencies of Interest in the Resting State, Pain Medicine, 2020, vol. 21, iss. 12, pp. 3530–3538.
https://doi.org/10.1093/pm/pnaa117

4. Frid A., Shor M., Shifrin A. et al. A Biomarker for Discriminating Between Migraine With and Without Aura: Machine Learning on Functional Connectivity on Resting-State EEGs. Ann Biomed Eng, 2020, vol. 48, pp. 403–412.
https://doi.org/10.1007/s10439-019-02357-3

5. O'Hare L., Menchinelli F., & Durrant S. J. Resting-State Alpha-Band Oscillations in Migraine. Perception, 2018, vol. 47, no. 4, pp. 379–396.
https://doi.org/10.1177/0301006618755639

6. Coppola G., Di Lorenzo C., Parisi V. et al. Clinical neurophysiology of migraine with aura. J Headache Pain, 2019, vol. 20, iss. 42.
https://doi.org/10.1186/s10194-019-0997-9

7. Azin S. Janani, Kenneth J. Pope, Nicole Fenton, Tyler S. Grummett, Hanieh Bakhshayesh, Trent W. Lewis, Dean H. Watson, Emma M. Whitham, John O. Willoughby. Resting cranial and upper cervical muscle activity is increased in patients with migraine. Clinical Neurophysiology, 2018, vol. 129, iss. 9, pp. 1913-1919, ISSN 1388-2457
https://doi.org/10.1016/j.clinph.2018.06.017

8. Cao Z., Lai K.-L., Lin C.-T., Chuang C.-H., Chou C.-C., & Wang S.-J. Exploring resting-state EEG complexity before migraine attacks. Cephalalgia, 2018, vol. 38, no.7, pp. 1296–1306.
https://doi.org/10.1177/0333102417733953

9. Porcaro C., Di Lorenzo G., Seri S., Pierelli F., Tecchio F., & Coppola G.. Impaired brainstem and thalamic high-frequency oscillatory EEG activity in migraine between attacks. Cephalalgia, 2017, vol. 37, no. 10, pp. 915–926.
https://doi.org/10.1177/0333102416657146

10. de Tommaso M., Trotta G., Vecchio E. et al. Brain networking analysis in migraine with and without aura. J. Headache Pain, 2017, vol. 18, iss. 98.
https://doi.org/10.1186/s10194-017-0803-5

11. Mayorov O. Y., Fenchenko V. N. Searching for a Neuromarker Characteristic for Pathologic Changes in Schizophrenia by Using the Scaling Indices of the Cerebral Bioelectric Activity. European J. of Biomedical Informatics, 2018, vol. 14, no. 1, pp. 67-74.

Full-text version