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Exploring EEG Spectral Patterns in Episodic and Chronic Migraine During the Interictal State: Determining Frequencies of Interest in the Resting State.
Gomez-Pilar, Javier; García-Azorín, David; Gomez-Lopez-de-San-Roman, Claudia; Guerrero, Ángel L; Hornero, Roberto.
Afiliação
  • Gomez-Pilar J; Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain.
  • García-Azorín D; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain.
  • Gomez-Lopez-de-San-Roman C; Headache Unit, Neurology Department, University Hospital of Valladolid, Valladolid, Spain.
  • Guerrero ÁL; Headache Unit, Neurology Department, University Hospital of Valladolid, Valladolid, Spain.
  • Hornero R; Headache Unit, Neurology Department, University Hospital of Valladolid, Valladolid, Spain.
Pain Med ; 21(12): 3530-3538, 2020 12 25.
Article em En | MEDLINE | ID: mdl-32393979
ABSTRACT

OBJECTIVE:

The analysis of particular (electroencephalographic) EEG frequency bands has revealed new insights relative to the neural dynamics that, when studying the EEG spectrum as a whole, would have remained hidden. This study is aimed at characterizing spectral resting state EEG patterns for assessing possible differences of episodic and chronic migraine during the interictal period. For that purpose, a novel methodology for analyzing specific frequencies of interest was performed.

METHODS:

Eighty-seven patients with migraine (45 with episodic and 42 with chronic migraine) and 39 age- and sex-matched controls performed a resting-state EEG recording. Spectral measures were computed using conventional frequency bands. Additionally, particular frequency bands were determined to distinguish between controls and migraine patients, as well as between migraine subgroups.

RESULTS:

Frequencies ranging from 11.6 Hz to 12.8 Hz characterized migraine as a whole, with differences evident in the central and left parietal regions (controlling for false discovery rate). An additional band between 24.1 Hz and 29.8 Hz was used to discriminate between migraine subgroups. Interestingly, the power in this band was positively correlated with time from onset in episodic migraine, but no correlation was found for chronic migraine.

CONCLUSIONS:

Specific frequency bands were proposed to identify the spectral characteristics of the electrical brain activity in migraine during the interictal stage. Our findings support the importance of discriminating between migraine subgroups to avoid hiding relevant features in migraine.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Transtornos de Enxaqueca Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Transtornos de Enxaqueca Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article