Brain state monitoring for the future prediction of migraine attacks.
Adult
Electroencephalography
/ instrumentation
Female
Forecasting
Humans
Longitudinal Studies
Male
Middle Aged
Migraine Disorders
/ diagnosis
Monitoring, Ambulatory
/ instrumentation
Pilot Projects
Predictive Value of Tests
Proof of Concept Study
Prospective Studies
Wireless Technology
/ instrumentation
Young Adult
Biomarkers
cyclic changes
premonitory phase
Journal
Cephalalgia : an international journal of headache
ISSN: 1468-2982
Titre abrégé: Cephalalgia
Pays: England
ID NLM: 8200710
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
pubmed:
19
9
2019
medline:
7
7
2021
entrez:
19
9
2019
Statut:
ppublish
Résumé
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. 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 (BrainVitals 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). 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.
Sections du résumé
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 (BrainVitals
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.
Identifiants
pubmed: 31530007
doi: 10.1177/0333102419877660
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM