Causal relationships between cortical brain structural alterations and migraine subtypes: a bidirectional Mendelian randomization study of 2,347 neuroimaging phenotypes

作者：Zuhao Sun, Mengge Liu, Guoshu Zhao, Zhihui Zhang, Jinglei Xu, Linlin Song, Wanwan Zhang, Shaoying Wang, Linlin Jia, Qian Wu, Yue Wu, Haolin Wang, Nannan Liu, Qian Su, Feng Liu · 发表于：The Journal of Headache and Pain · 年份：2024 · DOI：10.1186/s10194-024-01896-y · 被引用次数：14 · 研究领域：Migraine and Headache Studies、Traumatic Brain Injury Research、Cancer-related cognitive impairment studies

BACKGROUND: Previous studies have shown that migraines are associated with brain structural changes. However, the causal relationships between these changes and migraine, as well as its subtypes, migraine with aura (MA) and migraine without aura (MO), remain largely unclear. METHODS: We utilized genome-wide association study (GWAS) summary statistics from European cohorts for 2,347 cortical structural magnetic resonance imaging (MRI) phenotypes, derived from both T1-weighted and diffusion tensor imaging scans (n = 36,663), with migraine and its subtypes (n = 147,970-375,752). Cortical phenotypes included both macrostructural (e.g., cortical thickness, surface area) and microstructural (e.g., fractional anisotropy, mean diffusivity) features. Genetic correlations were first assessed to identify significant associations, followed by bidirectional Mendelian randomization (MR) analyses to determine causal relationships between these brain phenotypes and migraine, as well as its subtypes (MA and MO). Sensitivity analyses were applied to ensure the robustness of the results. RESULTS: Genetic correlation analysis identified 510 significant associations between cortical structural phenotypes and migraine across 401 distinct traits. Forward MR analysis revealed nine significant causal effects of cortical structural changes on migraine risk. Specifically, increased cortical thickness and local gyrification index in specific cortical regions were associated with a decreased risk of over...