Application of EEG in migraine

Abstract

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.

Quantitative electroencephalography as a potential biomarker in migraine

“…However, previous research in this area has yielded a spectrum of findings, with some results resonating with ours and others presenting divergent patterns (Zhang et al, 2023). This diversity should be understood in light of the varied methodologies employed across these studies.…”

A New Hybrid Approach Based on Time Frequency Images and Deep Learning Methods for Diagnosis of Migraine Disease and Investigation of Stimulus Effect

“…DL is a new branch of machine learning that has received widespread attention in relation to the task of classifying EEG signals [11]. DL models can be comparatively more advantageous than ML methods because they can learn features automatically.…”

“…EEG signal-, ML-, and DL-based methods have been used with respect to the diagnosis of MD. However, studies regarding migraines and the use of EEG are generally scarce [11]. In particular, studies on the automatic diagnosis of MD using DL are negligible [14].…”

“…Migraine is one of the most common neurological diseases [2,3]. However, EEG-based studies on migraine are limited [11]. For this reason, our motivation for this study was that there are almost no studies on the diagnosis of MD using EEG signals, especially with DL models [11,14].…”

“…However, EEG-based studies on migraine are limited [11]. For this reason, our motivation for this study was that there are almost no studies on the diagnosis of MD using EEG signals, especially with DL models [11,14]. We think that DL studies on the diagnosis of migraine disease are scarce and that this study is important as it fills a gap in the literature.…”