Brain state monitoring for the future prediction of migraine attacks.


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
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

Pagination

255-265

Auteurs

Isabel P Martins (IP)

Department of Clinical Neurosciences, Faculty of Medicine and Institute of Molecular Medicine, University of Lisbon, Lisbon, Portugal.

Marissa Westerfield (M)

Research and Development Unit, Neuroverse, Inc., San Diego, CA, USA.

Marco Lopes (M)

Research and Development Unit, Neuroverse, Inc., San Diego, CA, USA.

Carolina Maruta (C)

Department of Clinical Neurosciences, Faculty of Medicine and Institute of Molecular Medicine, University of Lisbon, Lisbon, Portugal.

Ricardo Gil-da-Costa (R)

Research and Development Unit, Neuroverse, Inc., San Diego, CA, USA.

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Classifications MeSH