摘要
目的 探索慢性膝关节疼痛患者的静息态脑功能网络改变,包括局部网络振幅和跨网络功能连接的改变,以揭示慢性膝关节疼痛对脑功能网络的潜在影响。方法 从英国生物样本库中选取3045例膝关节疼痛患者及相同数量、年龄和性别匹配的无痛对照组的数据。针对独立成分分析提取的脑功能网络的振幅和不同网络间功能连接两项指标,运用单变量统计分析(双样本t检验)和多变量机器学习(支持向量机)两种方法分析两组被试之间脑功能网络的差异。结果 使用双样本t检验,未观测到局部网络振幅在患者组与对照组之间表现出显著差异,但多对网络间的功能连接则在两组间表现出显著差异。例如,患者组视觉网络与默认模式网络、中央执行网络之间的功能连接增强等。利用支持向量机基于局部网络振幅及网络间功能连接模式区分患者组与对照组的分类准确率为53.6%,显著高于随机分类准确率(P<0.0001),特征权重分析结果显示默认模式网络、运动网络振幅及相关功能连接对分类贡献较大。结论 慢性膝关节疼痛患者默认模式网络、运动网络、视觉网络等多个脑网络振幅及其功能连接发生改变,提示长期的膝关节疼痛对脑产生了功能性重塑作用,为进一步深入理解慢性膝关节疼痛的脑改变提供了科学证据。
Objective To explore changes in brain functional networks at rest in patients with chronic knee pain,including alterations in local network amplitude and cross-network functional connectivity,to reveal the potential impact of chronic knee pain on brain functional networks.Methods Data from 3,045 patients with chronic knee pain and 3,045 age-and sex-matched pain-free controls were selected from the UK Biobank(UKB).Independent Component Analysis(ICA) was used to identify brain functional networks and extract the amplitude of each network and functional connectivity between networks.Univariate statistical analysis(two-sample t-test) and multivariate machine learning(support vector machine) were used to analyze the differences in these two network metrics between patients and controls.Results Using two-sample t-tests,no significant differences in local network amplitude were observed between patients and controls,but the patient group exhibited significant differences in cross-network functional connectivity compared with the control group.For example,enhanced functional connectivity was observed between the visual network and the default mode network,as well as the central executive network.Using support vector machine based on a local network amplitude and cross-network connectivity patterns to solve a “patients vs.controls” classification problem,we obtained a classification accuracy of 53.6%,which was significantly higher than chance level(P<0.0001).Feature weight analysis showed that the amplitude and functional connectivity associated with the default mode network and motor network had relatively larger contributions to the classification.Conclusion The amplitudes and functional connectivity of several brain networks,such as the default mode network,motor network,and visual network,are altered in patients with chronic knee pain patients,suggesting functional reorganization of the brain due to long-term knee pain.These findings provide evidence for further understanding of the brain changes associated with chronic knee pain.
作者
宋尚虎
肖晓啸
李逸凡
梁猛
SONG Shanghu;XIAO Xiaoxiao;LI Yifan(School of Medical Technology,Tianjin Medical University,Tianjin 300203,P.R.China)
出处
《临床放射学杂志》
北大核心
2025年第4期598-605,共8页
Journal of Clinical Radiology
基金
国家自然科学基金资助项目(编号:81971694)。
