Menstrually-related migraine shapes the structural similarity network integration of brain

Author:

Li Xinyu1,Hao Huifen1,Li Yingying1,Au Lisa Wing-Chi2,Du Ganqin3,Gao Xiuju3,Yan Junqiang3,Tong Raymond Kai-Yu4,Lou Wutao4ORCID

Affiliation:

1. The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology Imaging Center, , Luoyang 471003 , China

2. The Chinese University of Hong Kong, Prince of Wales Hospital Department of Medicine and Therapeutics, , Hong Kong SAR , China

3. The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology Department of Neurology, , Luoyang 471003 , China

4. The Chinese University of Hong Kong Department of Biomedical Engineering, , Hong Kong SAR , China

Abstract

Abstract Menstrually-related migraine (MM) is a primary migraine in women of reproductive age. The underlying neural mechanism of MM was still unclear. In this study, we aimed to reveal the case–control differences in network integration and segregation for the morphometric similarity network of MM. Thirty-six patients with MM and 29 healthy females were recruited and underwent MRI scanning. The morphometric features were extracted in each region to construct the single-subject interareal cortical connection using morphometric similarity. The network topology characteristics, in terms of integration and segregation, were analyzed. Our results revealed that, in the absence of morphology differences, disrupted cortical network integration was found in MM patients compared to controls. The patients with MM showed a decreased global efficiency and increased characteristic path length compared to healthy controls. Regional efficiency analysis revealed the decreased efficiency in the left precentral gyrus and bilateral superior temporal gyrus contributed to the decreased network integration. The increased nodal degree centrality in the right pars triangularis was positively associated with the attack frequency in MM. Our results suggested MM would reorganize the morphology in the pain-related brain regions and reduce the parallel information processing capacity of the brain.

Funder

Joint Research Fund of Science and Technology Department of Henan Province, China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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