Mapping brain functional networks topological characteristics in new daily persistent headache: a magnetoencephalography study

作者：Dong Qiu, Zhaoli Ge, Yanliang Mei, Wei Wang, Zhonghua Xiong, Xiaoshuang Li, Ziyu Yuan, Peng Zhang, Mantian Zhang, Xin Liu, Yaqing Zhang, Xueying Yu, Hefei Tang, Yonggang Wang · 发表于：The Journal of Headache and Pain · 年份：2023 · DOI：10.1186/s10194-023-01695-x · 被引用次数：10 · 研究领域：Migraine and Headache Studies、Functional Brain Connectivity Studies、Neural dynamics and brain function

BACKGROUND: The brain functional network topology in new daily persistent headache (NDPH) is not well understood. In this study, we aim to assess the cortical functional network topological characteristics of NDPH using non-invasive neural signal recordings. METHODS: Resting-state magnetoencephalography (MEG) was used to measure power fluctuations in neuronal oscillations from distributed cortical parcels in 35 patients with NDPH and 40 healthy controls (HCs). Their structural data were collected by 3T MRI. Functional connectivity (FC) of neural networks from 1 to 80 Hz frequency ranges was analyzed with topographic patterns and calculated network topological parameters with graph theory. RESULTS: In the delta (1-4 Hz) and beta (13-30 Hz) bands, the lateral occipital cortex and superior frontal gyrus FC were increased in NDPH groups compared to HCs. Graph theory analysis revealed that the NDPH had significantly increased global efficiency in the delta band and decreased nodal clustering coefficient (left medial orbitofrontal cortex) in the theta (4-8 Hz) band. The clinical characteristics had a significant correlation with network topological parameters. Age at onset of patients showed a positive correlation with global efficiency in the delta band. The degree of depression of patients showed a negative correlation with the nodal clustering coefficient (left medial orbitofrontal cortex) in the theta band. CONCLUSION: The FC and topology of NDPH in brain networks may be altere...