EEG Changes in Migraine—Can EEG Help to Monitor Attack Susceptibility?

Journal Article (2024)
Author(s)

Thomas C. van den Hoek (Leiden University Medical Center)

M.L. van de Ruit (TU Delft - Biomechatronics & Human-Machine Control, Leiden University Medical Center)

Gisela M. Terwindt (Leiden University Medical Center)

Else A. Tolner (Leiden University Medical Center)

Research Group
Biomechatronics & Human-Machine Control
DOI related publication
https://doi.org/10.3390/brainsci14050508
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Biomechatronics & Human-Machine Control
Issue number
5
Volume number
14
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Migraine is a highly prevalent brain condition with paroxysmal changes in brain excitability believed to contribute to the initiation of an attack. The attacks and their unpredictability have a major impact on the lives of patients. Clinical management is hampered by a lack of reliable predictors for upcoming attacks, which may help in understanding pathophysiological mechanisms to identify new treatment targets that may be positioned between the acute and preventive possibilities that are currently available. So far, a large range of studies using conventional hospital-based EEG recordings have provided contradictory results, with indications of both cortical hyper- as well as hypo-excitability. These heterogeneous findings may largely be because most studies were cross-sectional in design, providing only a snapshot in time of a patient’s brain state without capturing day-to-day fluctuations. The scope of this narrative review is to (i) reflect on current knowledge on EEG changes in the context of migraine, the attack cycle, and underlying pathophysiology; (ii) consider the effects of migraine treatment on EEG features; (iii) outline challenges and opportunities in using EEG for monitoring attack susceptibility; and (iv) discuss future applications of EEG in home-based settings.