Articles | Open Access | DOI: https://doi.org/10.37547/tajmspr/Volume07Issue02-11

Electroencephalographic (EEG) changes in migraine patients: a comparative analysis of aura and non-aura migraine with chronic tension-type and medication overuse headaches

Dilafruz Bahodirovna Akhmedova , Bukhara State Medical Institute, Uzbekistan

Abstract

This study explores electroencephalographic (EEG) changes in patients with different types of chronic headaches, including aura and non-aura migraine, chronic tension-type headaches, and medication overuse headaches. The research analyzes EEG parameters such as dominant alpha rhythm, slow-wave activity, focal theta and delta rhythms, and hemispheric asymmetry during and outside migraine attacks. The findings indicate significant neurophysiological differences among headache types, which could aid in refining diagnostic criteria and developing personalized treatment strategies. The study also highlights the relationship between cognitive dysfunction and EEG alterations in migraine patients.

Keywords

Migraine, chronic headaches, alpha rhythm

References

Mishra, T., Mohapatra, D., Behera, M., & Priyadarsini, N. (2015). EEG changes in migraine patients. International Journal of Pharma and Bio Sciences.

Zhang, N., Pan, Y., Chen, Q., Zhai, Q., Liu, N., Huang, Y., Sun, T., Lin, Y., He, L., Hou, Y., Yu, Q., Li, H., & Chen, S. (2023). Application of EEG in migraine. Frontiers in Human Neuroscience, 17.

Alkzaz, R., & Al-Omary, H. L. (2024). Correlation between cognition and quantitative EEG changes in patients with migraine. Journal of the Faculty of Medicine Baghdad.

van den Hoek, T. C., van de Ruit, M., Terwindt, G. M., & Tolner, E. (2024). EEG changes in migraine—Can EEG help to monitor attack susceptibility? Brain Sciences, 14.

Sarbaz, Y., Garehdaghi, F., & Meshgini, S. (2024). Extracting brain behavior change in patients with migraine by quantitative analysis of electroencephalogram signals compared to healthy people. Medical Journal of Tabriz University of Medical Sciences.

Frid, A., Shor, M., Shifrin, A., Yarnitsky, D., & Granovsky, Y. (2019). A biomarker for discriminating between migraine with and without aura: Machine learning on functional connectivity on resting-state EEGs. Annals of Biomedical Engineering, 48, 403–412.

Riederer, F., Beiersdorf, J., Scutelnic, A., & Schankin, C. (2023). Migraine aura—Catch me if you can with EEG and MRI: A narrative review. Diagnostics, 13.

Rho, Y., Kim, S. H., Kang, H.-C., Lee, Y.-J., Kim, Y. O., & Kim, S. K. (2020). EEG characteristics and diagnostic implications in childhood headache: A multi-center study. Frontiers in Neurology, 11.

Sand, T., Omland, P. M., & Wang, S.-J. (2020). Electroencephalography in migraine. Springer.

Martins, I., Westerfield, M., Lopes, M., Maruta, C., & Gil-da-Costa, R. (2020). Brain state monitoring for the future prediction of migraine attacks. Cephalalgia, 40, 255–265.

Article Statistics

Copyright License

Download Citations

How to Cite

Dilafruz Bahodirovna Akhmedova. (2025). Electroencephalographic (EEG) changes in migraine patients: a comparative analysis of aura and non-aura migraine with chronic tension-type and medication overuse headaches. The American Journal of Medical Sciences and Pharmaceutical Research, 7(02), 76–82. https://doi.org/10.37547/tajmspr/Volume07Issue02-11