目的 基于MRI技术,采用基于序统计量相关系数法的脑功能连接网络分析方法研究静息态下语言网络活动情况,并探讨其时间可靠性和功能偏侧化,为静息态语言网络的临床研究提供理论基础.资料与方法 对25例正常志愿者进行3次静息态功能MRI扫描,32位Matlab 7.11.0及DPARSF软件进行数据处理,选取大脑左半球Broca和Wernicke两个语言脑功能区域为感兴趣区,采用序统计量相关系数法分析受试者的语言网络功能连接性.结果 基于种子分析方法的功能连接图,得到受试者的不对称指数图和组内相关系数图.采用序统计量相关系数法分析静息态语言网络的功能连接情况与传统相关系数法分析的结果相似度极高,该方法可用于类似网络功能连接情况的研究.结论 静息态大脑语言功能网络的时间可靠性为语言疾病的临床研究提供一定的参考价值,因语言网络功能偏侧化异常而引起的语言疾病或精神性疾病的临床诊疗,可借鉴静息态语言网络的功能偏侧化及其时间可靠性情况.%Purpose To investigate the activity of language network with brain function connection network analysis method using MRI order statistics correlation coefficient, and to explore the temporal reliability and functional asymmetry, and provide the theoretical foundation for clinical researches of resting-state language network.Materials and Methods Twenty-five healthy volunteers were scanned three times in resting state. All data were processed using 32 bit Matlab 7.11.0 and DPARSF. The two main language functional areas, Broca and Wernicke, were selected as the regions of interest. The functional connectivity of language network was analyzed with order statistics correlation coefficient.Results Based on the functional connectivity diagrams using seed analysis method, the asymmetry index and intra-class correlation were obtained. The functional connectivity of resting-state language network based on order statistics correlation coefficient was similar to that using the traditional correlation coefficient methods. Conclusion The temporal reliability of resting-state language network can provide a reference value for clinical research of language disorders, as well as the clinical diagnosis and treatment of the language disorders or mental diseases caused by abnormal functional asymmetry of language network.
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