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EEG Changes in Migraine-Can EEG Help to Monitor Attack Susceptibility?
van den Hoek, Thomas C; van de Ruit, Mark; Terwindt, Gisela M; Tolner, Else A.
Afiliación
  • van den Hoek TC; Department of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.
  • van de Ruit M; Department of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.
  • Terwindt GM; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Tolner EA; Department of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.
Brain Sci ; 14(5)2024 May 17.
Article en En | MEDLINE | ID: mdl-38790486
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos