磁共振成像2026，Vol.17Issue(4)：41-46,61,7.DOI:10.12015/issn.1674-8034.2026.04.006
基于独立成分分析的锰暴露焊工脑动态功能连接网络研究
Independent component-based dynamic functional connectivity network analysis in manganese-exposed welders
摘要
Abstract
Objective:To investigate alterations in dynamic functional connectivity network(dFNC)and its temporal properties among welders with occupational manganese(Mn)exposure.Materials and Methods:We conducted a study on 25 Mn-exposed welders and 29 healthy control group matched with welders.Both groups underwent resting-state functional magnetic resonance imaging(rs-fMRI)scan on a 3.0 T MRI scanner.Following standard preprocessing,group independent component analysis(ICA)was performed to identify resting-state networks.dFNC was computed using a sliding window correlation approach,and the resulting connectivity matrices were clustered into recurring brain states via the K-means algorithm.Group differences in state-specific dFNC patterns and temporal metrics were then evaluated.Furthermore,correlations between aberrant dFNC features and clinical indicators were examined in the welder group.Results:Compared with HCs,Mn-exposed welders showed significantly reduced dynamic functional connectivity between the salience network(SN)-executive control network(ECN),the default mode network(DMN)-language network(LAN),and the SN-DMN(t=-3.18、-3.31、-3.11,false discovery rate correction,P＜0.05).However,no significant between-group differences were found in other dFNC features(P＞0.05).Conclusions:The dFNC between the SN,ECN and DMN of Mn-exposed welders were significantly reduced,which provided evidence value for understanding the neuropathological mechanisms related to Mn overexposure and early prevention of Mn poisoning.关键词
锰暴露/磁共振成像/独立成分分析/动态功能连接/脑网络Key words
manganese exposure/magnetic resonance imaging/independent component analysis/dynamic functional connectivity/brain network分类
医药卫生引用本文复制引用
茹旭颖,吴佳昱,范思佳,孙梦雪,曹艺馨,高明,邬小平..基于独立成分分析的锰暴露焊工脑动态功能连接网络研究[J].磁共振成像,2026,17(4):41-46,61,7.基金项目
陕西省重点研发计划项目(编号:2023-YBSF-673) （编号:2023-YBSF-673）
陕西省自然科学基金项目(编号:2023-JC-QN-0841) （编号:2023-JC-QN-0841）
西安市科技计划项目(编号:23YXYJ0004、23YXYJ0078) （编号:23YXYJ0004、23YXYJ0078）
西安市英才计划项目(编号:XAYC240059) （编号:XAYC240059）
西安市卫生健康委员会科研项目(编号:2026qn04)Shaanxi Provincial Key R&D Program(No.2023-YBSF-673) （编号:2026qn04）
Shaanxi Provincial Natural Science Foundation for Youths of China(No.2023-JC-QN-0841) （No.2023-JC-QN-0841）
Xi'an Science and Technology Plan Project(No.23YXYJ0004,23YXYJ0078) （No.23YXYJ0004,23YXYJ0078）
Talent Program of Xi'an(No.XAYC240059) （No.XAYC240059）
Xi'an Health Commission Science Foundation(No.2026qn04). （No.2026qn04）
