摘要
目的 探究脑白质高信号(white matter hyperintensities,WMH)肾虚型患者的静息态脑网络特征。方法 本研究纳入WMH患者及健康受试者,采集临床及功能磁共振数据。采用局部一致性(ReHo)分析比较2组脑功能活动差异;WMH患者分为肾虚组和非肾虚组,运用独立成分分析(ICA)探究2组脑网络特征。结果 WMH组较健康组的ReHo值在右楔前叶和辅助运动区显著下降、右颞叶显著升高;颞叶的ReHo值与HAMD评分呈正相关趋势。ICA分析显示肾虚组较非肾虚组默认模式网络与额顶网络连接增强,与听觉网络、视觉网络连接减弱。结论 WMH肾虚证患者情绪、认知相关脑区功能连接发生异常,可为此类疾病的防治提供较为客观的参考依据。
Objective To explore the characteristics of resting brain network in kidney deficiency patients with high white matter hyperintensities(WMH).Methods Clinical and functional magnetic resonance imaging(fMRI) data were collected from patients with WMH and healthy subjects.We analyzed and compared the differences of brain function between the two groups by using regional homogeneity(ReHo).Patients with WMH were divided into kidney deficiency group and non-kidney deficiency group,and independent component analysis(ICA) was used to explore the characteristics of brain network.Results Compared with the healthy group,the ReHo value of the WMH groups decreased significantly in the right precuneus and right supplementary motor area,and increased significantly in the right temporal lobe.The ReHo value of the temporal lobe was positively correlated with HAMD score.ICA analysis showed that the connection between the default mode network and the frontoparietal network in the kidney deficiency group was stronger,while the connection to the auditory network and visual network was weaker in the kidney deficiency group.Conclusion The abnormal functional connections of emotional and cognitive brain regions in patients with WMH kidney deficiency syndrome can provide objective reference for the prevention and treatment of these diseases.
作者
高金阳
林丹
路一坤
张硕
周莹
马丽芳
韩笑
崔方圆
GAO Jinyang;LIN Dan;LU Yikun;ZHANG Shuo;ZHOU Ying;MA Lifang;HAN Xiao;CUI Fangyuan(Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700;School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine)
出处
《现代中医临床》
2024年第5期97-102,共6页
Modern Chinese Clinical Medicine
基金
国家自然科学基金青年基金项目(No.8200151376)。
关键词
白质高信号
局部一致性
独立成分分析
脑网络
中医证候
white matter hyperintensities
regional homogeneity
independent component analysis
brain network
TCM syndrom