Neuroimaging features of whole-brain functional connectivity predict attack frequency of migraine.

ABSTRACT: Migraine is a chronic neurological disorder characterized by attacks of moderate or severe headache accompanying functionally and structurally maladaptive changes in brain. As the headache days/month is often measured by patient self-report and tends to be overestimated than actually experienced, the possibility of using neuroimaging data to predict migraine attack frequency is of great interest. To identify neuroimaging features that could objectively evaluate patients' headache days, a total of 179 migraineurs were recruited from two data center with one dataset used as the training/test cohort and the other used as the validating cohort. The guidelines for controlled trials of prophylactic treatment of chronic migraine in adults were used to identify the frequency of attacks and migrain

SUBMITTER: Mu J 

PROVIDER: S-EPMC7267923 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature