The purpose of this study is to identify a core fMRI feature that determines migrainous brain and plastic fMRI features that changes with longitudinal courses of migraine.
Migraine is associated with functional alterations in specific brain networks. The investigators aimed to identify network abnormalities which remain unchanged throughout the longitudinal course of migraine. The investigators also aimed to identify networks which change in association with changes in migraine frequency and associated psychiatric conditions. The investigators expect these can serve as neuroimaging biomarkers for diagnosis of migraine brain and monitoring of disease severity.
Study Type
OBSERVATIONAL
Enrollment
100
1. To ensure inter-ictal fMRI, confirm that the subject has no migraine for at least 48 hours before the procedure. 2. Record the time difference between the date on the day of fMRI and the date of the last headache attack and record whether the headache on the day of fMRI is absent or not. 3. On the third day after MRI, examine whether the subject has headache or not.
Samsung Medical Center
Seoul, South Korea
Core fMRI features for migraine brain
Among significant networks identified by ICA, we will identify altered networks which remain unchanged in follow-up resting-state fMRI in 1 year.
Time frame: 1-year follow-up (2nd year)
Candidate fMRI features for migraine
Using baseline resting-state fMRI, altered brain networks associated with migraine will be identified by independent component analysis (ICA) between patients and controls.
Time frame: Baseline (1st year)
Dynamic fMRI features for disease severity
Among significant networks identified by ICA, we will identify altered networks which change in association with changes in headache frequency in follow-up resting-state fMRI in 1 year.
Time frame: 1-year follow-up (2nd year)
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