Brain state monitoring for the future prediction of migraine attacks.
Cephalalgia
; 40(3): 255-265, 2020 03.
Article
de En
| MEDLINE
| ID: mdl-31530007
ABSTRACT
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.Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Surveillance électronique ambulatoire
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Électroencéphalographie
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Technologie sans fil
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Migraines
Type d'étude:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limites:
Adult
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Female
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Humans
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Male
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Middle aged
Langue:
En
Journal:
Cephalalgia
Année:
2020
Type de document:
Article
Pays d'affiliation:
Portugal