Resting-state magnetoencephalographic oscillatory connectivity to identify patients with chronic migraine using machine learning

Resting-state magnetoencephalographic oscillatory connectivity to identify patients with chronic migraine using machine learning

Abstract To identify and validate the neural signatures of resting-state oscillatory connectivity for chronic migraine (CM), we used machine learning techniques to classify patients with CM from healthy controls (HC) and patients with other pain disorders. The cross-sectional study obtained resting-...

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Bibliographic Details
Main Authors: Fu-Jung Hsiao, Wei-Ta Chen, Li-Ling Hope Pan, Hung-Yu Liu, Yen-Feng Wang, Shih-Pin Chen, Kuan-Lin Lai, Gianluca Coppola, Shuu-Jiun Wang
Format: Article
Language:English
Published: BMC 2022-10-01
Series:The Journal of Headache and Pain
Subjects:
Chronic migraine
Resting-state oscillatory connectivity
Pain disorders
Magnetoencephalography
Machine learning
Online Access:https://doi.org/10.1186/s10194-022-01500-1

Internet

https://doi.org/10.1186/s10194-022-01500-1

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