É possível prever quando as crises de enxaqueca aparecem?
Esse é o sonho de consumo de todos que sofrem de enxaqueca, saber quando ela vai aparecer e assim poder evita-la.
Um estudo publicado na revista cephalalgia mostrou que isto pode ser possível.
Através de um pequeno aparelho de eletroencefalograma, alterações cerebrais foram detectadas antes mesmo da crise aparecer. Apesar do importante achado, seria muito difícil alguém carregar ou vestir este aparelho a toda hora, outras soluções deverão ser descobertas…
Os autores do artigo são portugueses: Isabel P Martins, Marissa Westerfield, Marco Lopes, Carolina Maruta, Ricardo Gil-da-Costa.
Brain state monitoring for the future prediction of migraine attacks. https://doi.org/10.1177/0333102419877660
Resumo do Artigo
Background. Migraine attacks are unpredictable, precluding preemptive interventions and leading to lack of control over individuals’ lives. Although there are neurophysiological changes 24–48 hours before migraine attacks, so far, they have not been used in patients’ management. This study evaluates the applicability and the ability to identify pre-attack changes of daily “at home” electroencephalography obtained with a portable system for migraine patients.
Methods. Patients with episodic migraine fulfilling ICHD-3 beta criteria used a mobile system composed of a wireless EEG device (BrainStation®, Neuroverse®, Inc., USA) and mobile application (BrainVitalsM®, Neuroverse®, Inc., USA) to self-record their neural activity daily at home while resting and while performing an attention task, over the course of 2 weeks. Standard EEG spectral analysis and event-related brain potentials (ERP) methods were used and recordings were grouped by time from migraine attacks (i.e. “Interictal day”, “24 h Before Migraine”, “Migraine day” and “Post Migraine”).
Results. Twenty-four patients (22 women) recorded an average of 13.3 ± 1.9 days and had 2 ± 0.9 attacks. Twenty-four hours before attack onset, there was a statistically significant modulation of relative power in the delta (decrease) and beta (increase) frequency bands, at rest, and a significant reduction of the amplitude and inter-trial coherence measures of an attention event-related brain potential (P300).
Conclusions. This proof-of-concept study shows that brain state monitoring, utilising an easy-to-use wearable EEG system to track neural modulations at home, can identify physiological changes preceding a migraine attack enabling valuable pre-symptom prediction and subsequent early intervention.