Migraine classification using magnetic resonance imaging resting-state functional connectivity data.

Abstract

Background This study used machine-learning techniques to develop discriminative brain-connectivity biomarkers from resting-state functional magnetic resonance neuroimaging ( rs-fMRI) data that distinguish between individual migraine patients and healthy controls. Methods This study included 58 migraine patients (mean age = 36.3 years; SD = 11.5) and 50… (More)
DOI: 10.1177/0333102416652091

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