Application of EEG in migraine

Front Hum Neurosci. 2023 Feb 17;17:1082317. doi: 10.3389/fnhum.2023.1082317. eCollection 2023.


Migraine is a common disease of the nervous system that seriously affects the quality of life of patients and constitutes a growing global health crisis. However, many limitations and challenges exist in migraine research, including the unclear etiology and the lack of specific biomarkers for diagnosis and treatment. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity. With the updating of data processing and analysis methods in recent years, EEG offers the possibility to explore altered brain functional patterns and brain network characteristics of migraines in depth. In this paper, we provide an overview of the methodology that can be applied to EEG data processing and analysis and a narrative review of EEG-based migraine-related research. To better understand the neural changes of migraine or to provide a new idea for the clinical diagnosis and treatment of migraine in the future, we discussed the study of EEG and evoked potential in migraine, compared the relevant research methods, and put forwards suggestions for future migraine EEG studies.

Keywords: EEG; brain network; functional connectivity; machine learning; microstates; migraine; spectrum power.

Publication types

  • Review

Grants and funding

This work was supported by General Program of National Natural Science Foundation of China (82071549); Key Program of Natural Science Foundation of Heilongjiang Province (ZD2019H006); and Key Program of Planning Subject for the 13th Five-Year Plan of Heilongjiang Province Education Sciences (GJB1319086).