Keywords: Brain Connectivity, Machine Learning/Artificial IntelligenceIn comparison with migraine without aura (MwoA), migraine with aura (MwA) has its own characteristics in symptom, pathological mechanism, treatment and prognosis. In this study, we conducted connectome-based analysis to capture brain connectivity markers that would show identifiable signature of MwA and MwoA, using diffusion tensor imaging and resting-state functional MRI. We found that the alterations of structural and functional connectivity strength contributed to migraine patient subtyping. The whole brain connectome-based imaging markers might provide possible evidence in understanding the heterogeneity of migraine with aura and help for patient-specific decision.
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