AUTHOR=Wang Qian , Gao Yujun , Zhang Yuandong , Wang Xi , Li Xuying , Lin Hang , Xiong Ling , Huang Chunyan 

TITLE=Decreased degree centrality values as a potential neuroimaging biomarker for migraine: A resting-state functional magnetic resonance imaging study and support vector machine analysis

JOURNAL=Frontiers in Neurology

VOLUME=Volume 13 - 2022

YEAR=2023

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.1105592

DOI=10.3389/fneur.2022.1105592

ISSN=1664-2295

ABSTRACT=Objective
Misdiagnosis and missed diagnosis of migraine are common in clinical practice. Currently, the
pathophysiological mechanism of migraine is not completely known, and its imaging pathological
mechanism has rarely been reported. In this study, functional magnetic resonance imaging (fMRI)
technology combined with support vector machine (SVM) were employed to study the imaging
pathological mechanism of migraine to improve the diagnostic accuracy of migraine. 
Methods
Twenty-eight patients with migraine and 27 healthy controls (HCs) matched by age and gender
were enrolled at the neuropsychiatric clinic. All participants had underwent the Migraine
Disability Assessment (MIDAS), Headache Impact Test - 6 (HIT-6) and 15 minutes magnetic
resonance scanning. Degree centrality (DC) and SVM analysis data were obtained.
 Results
Compared with the HCs, the DC value of bilateral inferior temporal gyrus (ITG) in patients with
migraine was significantly lower, and the DC value of left ITG showed a positive linear
correlation with MIDAS scores. The SVM results showed that the DC value of left ITG has the
potential to be a diagnostic biomarker for imaging, with the highest diagnostic accuracy,
sensitivity, and specificity for patients with migraine of 81.82%, 85.71% and 77.78% respectively. 
Conclusions
Our findings demonstrate abnormal DC values in the bilateral ITG among patients with migraine, and the present results provide insights into the neural mechanism of migraines. The abnormal DC
values can be used as a potential neuroimaging biomarker for the diagnosis of migraine.