Identifying Migraine: Building Classifiers Using Resting-State fMRI Data (P4.112)
Abstract
OBJECTIVE: To classify migraine by applying a novel machine-learning approach to resting-state functional connectivity magnetic resonance neuroimaging (rs-fMRI) data.
BACKGROUND: Migraine is a prevalent neurological disorder that is associated with structural and functional brain alterations in regions associated with the perception and modulation of pain. This study explored the use of machine-learning techniques to develop discriminative...
Paper Details
Title
Identifying Migraine: Building Classifiers Using Resting-State fMRI Data (P4.112)
Published Date
Apr 5, 2016
Journal
Volume
86
Issue
16_supplement
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Notes
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