| Literature DB >> 27053062 |
Zhengjie Li1,2, Lei Lan1, Fang Zeng1, Nikos Makris3,4, Jiwon Hwang5, Taipin Guo1, Feng Wu1, Yujie Gao1, Mingkai Dong1, Mailan Liu6, Jie Yang1, Ying Li1, Qiyong Gong7, Sharon Sun3,4, Fanrong Liang1, Jian Kong3,4.
Abstract
Aims This study aims to investigate the resting-state functional connectivity (rs-fc) of the right frontoparietal network (rFPN) between migraineurs and healthy controls (HCs) in order to determine how the rFPN rs-fc can be modulated by effective treatment. Methods One hundred patients and 46 matched HCs were recruited. Migraineurs were randomized to verum acupuncture, sham acupuncture, and waiting list groups. Resting-state functional magnetic resonance imaging data were collected before and after longitudinal treatments. Independent component analysis was applied in the data analysis. Results We found that migraineurs showed decreased rs-fc between the rFPN and bilateral precuneus compared with HCs. After treatments (real and sham), rFPN rs-fc with the precuneus was significantly reduced. This reduction was associated with headache intensity relief. In order to explore the role of the precuneus in acupuncture modulation, we performed a seed-based rs-fc analysis using the precuneus as a seed and found that the precuneus rs-fc with the bilateral rostral anterior cingulate cortex/medial prefrontal cortex, ventral striatum, and dorsolateral prefrontal cortex was significantly enhanced after treatment. Conclusion Our results suggest that migraineurs are associated with abnormal rFPN rs-fc. An effective treatment, such as acupuncture, may relieve symptoms by strengthening the cognitive adaptation/coping process. Elucidation of the adaptation/coping mechanisms may open up a new window for migraine management.Entities:
Keywords: Acupuncture; fMRI; frontoparietal network; independent component analysis; migraine without aura; resting-state functional connectivity
Mesh:
Year: 2016 PMID: 27053062 PMCID: PMC5659390 DOI: 10.1177/0333102416641665
Source DB: PubMed Journal: Cephalalgia ISSN: 0333-1024 Impact factor: 6.292